Acute Coronary Syndromes

At the time that it was halted, a multicenter randomized trial was associating venoarterial extracorporeal membrane oxygenation (VA-ECMO) with an intriguing signal of benefit for patients in cardiogenic shock undergoing percutaneous intervention (PCI) for acute myocardial infarction.

Stopped early because of the pandemic, the EURO SHOCK trial has data on only 35 patients, but all-cause mortality at 30 days was nearly 30% lower in the VA-ECMO arm than in the standard-therapy arm, reported Manel Sabate, MD, PhD, chief of the interventional cardiology unit, Clinic University Hospital, Barcelona.

When patients were followed out to 12 months, the numerical survival advantage appeared to persist.

Yet, because of the early trial termination, “there really are no definite conclusions to be drawn from these results,” acknowledged Dr. Sabate, who noted that less than 10% of the planned enrollment had been reached. In addition, the survival benefit in the VA-ECMO arm was achieved at the cost of a higher rate of complications.

Despite the small numbers, results from the halted trial were presented as a late-breaker at the annual meeting of the European Association of Percutaneous Cardiovascular Interventions. They were also simultaneously published in EuroIntervention.

The interest is based on an important unmet need, said Dr. Sabate. Cardiogenic shock occurs in about 10% of acute MI patients. Of those that continue on to revascularization, the 30-day mortality can approach 50%.

Meanwhile, the potential of mechanical circulatory support to maintain perfusion during cardiogenic shock makes it one of the most attractive, if unproven, approaches for improving outcomes.
 

Major multicenter trial terminated

The EURO SHOCK trial had a planned enrollment of 428 patients when it was initiated; 15 centers in six European countries participated. Recruitment and the trial were brought to a halt by the COVID-19 pandemic.

When trial recruitment was stopped, 18 patients had been assigned to standard supportive care and 17 patients to VA-ECMO. The primary endpoint of the trial was all-cause mortality at 30 days. Mortality at 12 months along with bleeding complications, cerebrovascular events, and readmission for heart failure, were among secondary endpoints.

At 30 days, the mortality rate was 61.1% among patients randomized to standard care, versus 43.8% among patients randomized to VA ECMO (hazard ratio, 0.56; 95% confidence interval, 0.21-01.45; P = 0.22).

At 12 months, the numerical advantage of VA-ECMO persisted (81.5% vs. 51.8%) with a similar nonsignificant signal for potential benefit despite the small sample size (HR, 0.52; 95% CI, 0.21-1.26; P = 0.14).

There were also numerically lower rates of cardiovascular death, ischemic stroke, recurrent MI, and acute kidney injury among patients in the VA-ECMO group relative to those in the standard-care group, Dr. Sabate reported.

However, VA-ECMO was associated with more vascular complications (21.4% vs. 0%) and bleeding events (35.7% vs. 5.6%).

Furthermore, although quality of life data were limited, Dr. Sabate noted that about half of patients in the VA-ECMO group reported problems with mobility, self-care, or usual activities on the basis of the EQ-5D-3L questionnaire at 30 days. None of the patients in the standard-care group reported any such difficulties.

When standard care was compared with VA-ECMO, rates of readmission for heart failure over 12 months (8.0% vs. 6.9%) were not different.

To be enrolled in this study, patients being treated for MI had to be in cardiogenic shock for at least 30 minutes following primary PCI. The median time from onset of cardiogenic shock to VA-ECMO in the active treatment arm was 4.8 hours.
 

Patient enrollment was challenging

Even independent of the COVID-19 pandemic, enrolling patients proved to be difficult. The 35 patients enrolled represented about 10% of the 333 patients screened at the participating centers. Unwitnessed out-of-hospital cardiac arrest, cardiogenic shock from a cause other than MI, and recovery from cardiogenic shock after the PCI was performed were among reasons for the high rate of exclusions.

The difficulty of identifying and engaging appropriate candidates for VA-ECMO, along with a substantial crossover rate, should be among lessons for investigators planning the next trial, said Dr. Sabate, who pointed out that 5 of the 17 patients assigned to VA-ECMO were never treated due to complications or patient refusal.

“We cannot associate VA-ECMO with a favorable benefit-to-risk ratio on the basis of this study, but it sets the state for a larger randomized controlled trial to address this question,” Dr. Sabate said.

Davide Capodanno, MD, PhD, a professor of cardiology and interventional cardiologist at the University of Catania (Italy), agreed.

“It was a good decision to publish these results,” he said. Noting that there were challenges in conducting the trial unrelated to COVID-19, Dr. Capodanno acknowledged the promise of mechanical ventilatory support for a relatively common and life-threatening complication.

“This study must be read for the lessons it will provide for future trials,” he said.

Dr. Sabate reported he has no potential conflicts of interest. Dr. Capodanno reported financial relationships with Amgen, Daiichi Sankyo, and Sanofi.

At the time that it was halted, a multicenter randomized trial was associating venoarterial extracorporeal membrane oxygenation (VA-ECMO) with an intriguing signal of benefit for patients in cardiogenic shock undergoing percutaneous intervention (PCI) for acute myocardial infarction.

Stopped early because of the pandemic, the EURO SHOCK trial has data on only 35 patients, but all-cause mortality at 30 days was nearly 30% lower in the VA-ECMO arm than in the standard-therapy arm, reported Manel Sabate, MD, PhD, chief of the interventional cardiology unit, Clinic University Hospital, Barcelona.

When patients were followed out to 12 months, the numerical survival advantage appeared to persist.

Yet, because of the early trial termination, “there really are no definite conclusions to be drawn from these results,” acknowledged Dr. Sabate, who noted that less than 10% of the planned enrollment had been reached. In addition, the survival benefit in the VA-ECMO arm was achieved at the cost of a higher rate of complications.

Despite the small numbers, results from the halted trial were presented as a late-breaker at the annual meeting of the European Association of Percutaneous Cardiovascular Interventions. They were also simultaneously published in EuroIntervention.

The interest is based on an important unmet need, said Dr. Sabate. Cardiogenic shock occurs in about 10% of acute MI patients. Of those that continue on to revascularization, the 30-day mortality can approach 50%.

Meanwhile, the potential of mechanical circulatory support to maintain perfusion during cardiogenic shock makes it one of the most attractive, if unproven, approaches for improving outcomes.
 

Major multicenter trial terminated

The EURO SHOCK trial had a planned enrollment of 428 patients when it was initiated; 15 centers in six European countries participated. Recruitment and the trial were brought to a halt by the COVID-19 pandemic.

When trial recruitment was stopped, 18 patients had been assigned to standard supportive care and 17 patients to VA-ECMO. The primary endpoint of the trial was all-cause mortality at 30 days. Mortality at 12 months along with bleeding complications, cerebrovascular events, and readmission for heart failure, were among secondary endpoints.

At 30 days, the mortality rate was 61.1% among patients randomized to standard care, versus 43.8% among patients randomized to VA ECMO (hazard ratio, 0.56; 95% confidence interval, 0.21-01.45; P = 0.22).

At 12 months, the numerical advantage of VA-ECMO persisted (81.5% vs. 51.8%) with a similar nonsignificant signal for potential benefit despite the small sample size (HR, 0.52; 95% CI, 0.21-1.26; P = 0.14).

There were also numerically lower rates of cardiovascular death, ischemic stroke, recurrent MI, and acute kidney injury among patients in the VA-ECMO group relative to those in the standard-care group, Dr. Sabate reported.

However, VA-ECMO was associated with more vascular complications (21.4% vs. 0%) and bleeding events (35.7% vs. 5.6%).

Furthermore, although quality of life data were limited, Dr. Sabate noted that about half of patients in the VA-ECMO group reported problems with mobility, self-care, or usual activities on the basis of the EQ-5D-3L questionnaire at 30 days. None of the patients in the standard-care group reported any such difficulties.

When standard care was compared with VA-ECMO, rates of readmission for heart failure over 12 months (8.0% vs. 6.9%) were not different.

To be enrolled in this study, patients being treated for MI had to be in cardiogenic shock for at least 30 minutes following primary PCI. The median time from onset of cardiogenic shock to VA-ECMO in the active treatment arm was 4.8 hours.
 

Patient enrollment was challenging

Even independent of the COVID-19 pandemic, enrolling patients proved to be difficult. The 35 patients enrolled represented about 10% of the 333 patients screened at the participating centers. Unwitnessed out-of-hospital cardiac arrest, cardiogenic shock from a cause other than MI, and recovery from cardiogenic shock after the PCI was performed were among reasons for the high rate of exclusions.

The difficulty of identifying and engaging appropriate candidates for VA-ECMO, along with a substantial crossover rate, should be among lessons for investigators planning the next trial, said Dr. Sabate, who pointed out that 5 of the 17 patients assigned to VA-ECMO were never treated due to complications or patient refusal.

“We cannot associate VA-ECMO with a favorable benefit-to-risk ratio on the basis of this study, but it sets the state for a larger randomized controlled trial to address this question,” Dr. Sabate said.

Davide Capodanno, MD, PhD, a professor of cardiology and interventional cardiologist at the University of Catania (Italy), agreed.

“It was a good decision to publish these results,” he said. Noting that there were challenges in conducting the trial unrelated to COVID-19, Dr. Capodanno acknowledged the promise of mechanical ventilatory support for a relatively common and life-threatening complication.

“This study must be read for the lessons it will provide for future trials,” he said.

Dr. Sabate reported he has no potential conflicts of interest. Dr. Capodanno reported financial relationships with Amgen, Daiichi Sankyo, and Sanofi.

At the time that it was halted, a multicenter randomized trial was associating venoarterial extracorporeal membrane oxygenation (VA-ECMO) with an intriguing signal of benefit for patients in cardiogenic shock undergoing percutaneous intervention (PCI) for acute myocardial infarction.

Stopped early because of the pandemic, the EURO SHOCK trial has data on only 35 patients, but all-cause mortality at 30 days was nearly 30% lower in the VA-ECMO arm than in the standard-therapy arm, reported Manel Sabate, MD, PhD, chief of the interventional cardiology unit, Clinic University Hospital, Barcelona.

When patients were followed out to 12 months, the numerical survival advantage appeared to persist.

Yet, because of the early trial termination, “there really are no definite conclusions to be drawn from these results,” acknowledged Dr. Sabate, who noted that less than 10% of the planned enrollment had been reached. In addition, the survival benefit in the VA-ECMO arm was achieved at the cost of a higher rate of complications.

Despite the small numbers, results from the halted trial were presented as a late-breaker at the annual meeting of the European Association of Percutaneous Cardiovascular Interventions. They were also simultaneously published in EuroIntervention.

The interest is based on an important unmet need, said Dr. Sabate. Cardiogenic shock occurs in about 10% of acute MI patients. Of those that continue on to revascularization, the 30-day mortality can approach 50%.

Meanwhile, the potential of mechanical circulatory support to maintain perfusion during cardiogenic shock makes it one of the most attractive, if unproven, approaches for improving outcomes.
 

Major multicenter trial terminated

The EURO SHOCK trial had a planned enrollment of 428 patients when it was initiated; 15 centers in six European countries participated. Recruitment and the trial were brought to a halt by the COVID-19 pandemic.

When trial recruitment was stopped, 18 patients had been assigned to standard supportive care and 17 patients to VA-ECMO. The primary endpoint of the trial was all-cause mortality at 30 days. Mortality at 12 months along with bleeding complications, cerebrovascular events, and readmission for heart failure, were among secondary endpoints.

At 30 days, the mortality rate was 61.1% among patients randomized to standard care, versus 43.8% among patients randomized to VA ECMO (hazard ratio, 0.56; 95% confidence interval, 0.21-01.45; P = 0.22).

At 12 months, the numerical advantage of VA-ECMO persisted (81.5% vs. 51.8%) with a similar nonsignificant signal for potential benefit despite the small sample size (HR, 0.52; 95% CI, 0.21-1.26; P = 0.14).

There were also numerically lower rates of cardiovascular death, ischemic stroke, recurrent MI, and acute kidney injury among patients in the VA-ECMO group relative to those in the standard-care group, Dr. Sabate reported.

However, VA-ECMO was associated with more vascular complications (21.4% vs. 0%) and bleeding events (35.7% vs. 5.6%).

Furthermore, although quality of life data were limited, Dr. Sabate noted that about half of patients in the VA-ECMO group reported problems with mobility, self-care, or usual activities on the basis of the EQ-5D-3L questionnaire at 30 days. None of the patients in the standard-care group reported any such difficulties.

When standard care was compared with VA-ECMO, rates of readmission for heart failure over 12 months (8.0% vs. 6.9%) were not different.

To be enrolled in this study, patients being treated for MI had to be in cardiogenic shock for at least 30 minutes following primary PCI. The median time from onset of cardiogenic shock to VA-ECMO in the active treatment arm was 4.8 hours.
 

Patient enrollment was challenging

Even independent of the COVID-19 pandemic, enrolling patients proved to be difficult. The 35 patients enrolled represented about 10% of the 333 patients screened at the participating centers. Unwitnessed out-of-hospital cardiac arrest, cardiogenic shock from a cause other than MI, and recovery from cardiogenic shock after the PCI was performed were among reasons for the high rate of exclusions.

The difficulty of identifying and engaging appropriate candidates for VA-ECMO, along with a substantial crossover rate, should be among lessons for investigators planning the next trial, said Dr. Sabate, who pointed out that 5 of the 17 patients assigned to VA-ECMO were never treated due to complications or patient refusal.

“We cannot associate VA-ECMO with a favorable benefit-to-risk ratio on the basis of this study, but it sets the state for a larger randomized controlled trial to address this question,” Dr. Sabate said.

Davide Capodanno, MD, PhD, a professor of cardiology and interventional cardiologist at the University of Catania (Italy), agreed.

“It was a good decision to publish these results,” he said. Noting that there were challenges in conducting the trial unrelated to COVID-19, Dr. Capodanno acknowledged the promise of mechanical ventilatory support for a relatively common and life-threatening complication.

“This study must be read for the lessons it will provide for future trials,” he said.

Dr. Sabate reported he has no potential conflicts of interest. Dr. Capodanno reported financial relationships with Amgen, Daiichi Sankyo, and Sanofi.

A real-world study of more than 12,000 cases over 7 years has validated the predictive ability of the proposed guidelines for stratifying thrombotic risks at 1 year for patients with non–ST-elevated acute coronary syndrome (NSTE-ACS) undergoing percutaneous coronary intervention (PCI).

In research presented at the Society for Cardiovascular Angiography & Interventions annual scientific sessions, George Dangas, MD, PhD, current SCAI president and professor of cardiology and vascular surgery at the Icahn School of Medicine at Mount Sinai, New York, reported that the European Society of Cardiology risk stratification criteria appropriately predicted risk in 12,538 patients treated from 2012 to 2019.

Icahn School of Medicine

Despite these proposed guidelines put forward by the ESC in 2020, no consensus exists on criteria for ischemic or thrombotic risk in NSTE-ACS patients, Dr. Dangas noted.

The new study shows that the 1-year major adverse cardiovascular events (MACE) risk was four times greater in patients classified as medium risk (hazard ratio, 4.31; 95% confidence interval, 2.47-7.52) and six times greater in high-risk patients (HR, 6.16; 95% CI, 3.52-10.8), compared with the low-risk group, mostly because of higher rates of all-cause death and myocardial infarction, Dr. Dangas said in an interview.

“Indeed, we found some good correlation between the three risk categories and gradation of risk that validates essentially, but with the statistical testing that we need, that this classification is meaningful if not perfect,” Dr. Dangas said. “In the future we may perform calibrations to enhance its performance.”

The study used data on consecutive patients from the Angioplasty and Stent Procedures Database of Mount Sinai, grouping them into low, medium, and high thrombotic risk based on the proposed ESC guidelines for the management of NSTE-ACS.

The guidelines included a subset of criteria to identify patients with increased thrombotic risk who may benefit from extended treatment with a second antithrombotic agent.

This study aimed to evaluate the value of the criteria to identify patients at higher risk of ischemic events. “That’s why we went to our database to see how this might work,” Dr. Dangas said.

The researchers also found that high-risk patients had about a 40% greater risk of major bleeding (HR, 1.39; 95% CI, 1.06-1.84). Bleeding risks were similar between the low- and moderate-risk groups.

The risk categories reflected the rates of all-cause death, myocardial infarction, or stroke: 5.4%, 4.1%, and 1.6% in the high-, moderate-, and low-risks groups, respectively (P < .001).

“This identification of ischemic risks worked very well for all-cause mortality,” Dr. Dangas said. “I feel this is a strength because mortality is a leader of outcomes. And of course, we’ve had some associations with all events like mortality, myocardial infarction, repeat revascularization, which are interesting and valid, but I think a study result that indicates the mortality itself is known to be unidirectional and a very good correlation makes the result more robust.”
 

Critical role

Risk prediction models such as the proposed ESC guidelines will play a critical role as individualized medicine continues to evolve, Somjot Brar, MD, MPH, director of the regional department of cardiac catheterization at Kaiser Permanente, Los Angeles Medical Center, and associate clinical professor at the University of California, Los Angeles, said in an interview.

UCLA

“This study highlights again the importance of the value for predictive and precision medicine,” Dr. Brar said. “Everything is moving in this direction where we make decisions that are more appropriate for a given patient as opposed to a population of patients.”

Study strengths are the large sample size in a real-world setting and thorough 1-year follow-up, Dr. Brar said.

A limitation is the three risk categories the guidelines proposed. “These are still pretty big boxes,” he said. “The low-, moderate- and high-risk categorization is still very, very broad and can be very vague.”

The relatively low percentage of low-risk patients – 12% versus 56% and 32% for the moderate- and high-risk groups – in this data set may also skew results, Dr. Brar said.

“As we move toward predictive analytics and medicine, we want to make these boxes smaller and smaller and smaller to be able to better understand which treatments should be administered to which patients to maximize the benefit against the risk,” he said. That would be a focus for future analyses, Dr. Brar said.

Dr. Dangas and Dr. Brar have no relevant financial disclosures.


 

A real-world study of more than 12,000 cases over 7 years has validated the predictive ability of the proposed guidelines for stratifying thrombotic risks at 1 year for patients with non–ST-elevated acute coronary syndrome (NSTE-ACS) undergoing percutaneous coronary intervention (PCI).

In research presented at the Society for Cardiovascular Angiography & Interventions annual scientific sessions, George Dangas, MD, PhD, current SCAI president and professor of cardiology and vascular surgery at the Icahn School of Medicine at Mount Sinai, New York, reported that the European Society of Cardiology risk stratification criteria appropriately predicted risk in 12,538 patients treated from 2012 to 2019.

Icahn School of Medicine

Despite these proposed guidelines put forward by the ESC in 2020, no consensus exists on criteria for ischemic or thrombotic risk in NSTE-ACS patients, Dr. Dangas noted.

The new study shows that the 1-year major adverse cardiovascular events (MACE) risk was four times greater in patients classified as medium risk (hazard ratio, 4.31; 95% confidence interval, 2.47-7.52) and six times greater in high-risk patients (HR, 6.16; 95% CI, 3.52-10.8), compared with the low-risk group, mostly because of higher rates of all-cause death and myocardial infarction, Dr. Dangas said in an interview.

“Indeed, we found some good correlation between the three risk categories and gradation of risk that validates essentially, but with the statistical testing that we need, that this classification is meaningful if not perfect,” Dr. Dangas said. “In the future we may perform calibrations to enhance its performance.”

The study used data on consecutive patients from the Angioplasty and Stent Procedures Database of Mount Sinai, grouping them into low, medium, and high thrombotic risk based on the proposed ESC guidelines for the management of NSTE-ACS.

The guidelines included a subset of criteria to identify patients with increased thrombotic risk who may benefit from extended treatment with a second antithrombotic agent.

This study aimed to evaluate the value of the criteria to identify patients at higher risk of ischemic events. “That’s why we went to our database to see how this might work,” Dr. Dangas said.

The researchers also found that high-risk patients had about a 40% greater risk of major bleeding (HR, 1.39; 95% CI, 1.06-1.84). Bleeding risks were similar between the low- and moderate-risk groups.

The risk categories reflected the rates of all-cause death, myocardial infarction, or stroke: 5.4%, 4.1%, and 1.6% in the high-, moderate-, and low-risks groups, respectively (P < .001).

“This identification of ischemic risks worked very well for all-cause mortality,” Dr. Dangas said. “I feel this is a strength because mortality is a leader of outcomes. And of course, we’ve had some associations with all events like mortality, myocardial infarction, repeat revascularization, which are interesting and valid, but I think a study result that indicates the mortality itself is known to be unidirectional and a very good correlation makes the result more robust.”
 

Critical role

Risk prediction models such as the proposed ESC guidelines will play a critical role as individualized medicine continues to evolve, Somjot Brar, MD, MPH, director of the regional department of cardiac catheterization at Kaiser Permanente, Los Angeles Medical Center, and associate clinical professor at the University of California, Los Angeles, said in an interview.

UCLA

“This study highlights again the importance of the value for predictive and precision medicine,” Dr. Brar said. “Everything is moving in this direction where we make decisions that are more appropriate for a given patient as opposed to a population of patients.”

Study strengths are the large sample size in a real-world setting and thorough 1-year follow-up, Dr. Brar said.

A limitation is the three risk categories the guidelines proposed. “These are still pretty big boxes,” he said. “The low-, moderate- and high-risk categorization is still very, very broad and can be very vague.”

The relatively low percentage of low-risk patients – 12% versus 56% and 32% for the moderate- and high-risk groups – in this data set may also skew results, Dr. Brar said.

“As we move toward predictive analytics and medicine, we want to make these boxes smaller and smaller and smaller to be able to better understand which treatments should be administered to which patients to maximize the benefit against the risk,” he said. That would be a focus for future analyses, Dr. Brar said.

Dr. Dangas and Dr. Brar have no relevant financial disclosures.


 

A real-world study of more than 12,000 cases over 7 years has validated the predictive ability of the proposed guidelines for stratifying thrombotic risks at 1 year for patients with non–ST-elevated acute coronary syndrome (NSTE-ACS) undergoing percutaneous coronary intervention (PCI).

In research presented at the Society for Cardiovascular Angiography & Interventions annual scientific sessions, George Dangas, MD, PhD, current SCAI president and professor of cardiology and vascular surgery at the Icahn School of Medicine at Mount Sinai, New York, reported that the European Society of Cardiology risk stratification criteria appropriately predicted risk in 12,538 patients treated from 2012 to 2019.

Icahn School of Medicine

Despite these proposed guidelines put forward by the ESC in 2020, no consensus exists on criteria for ischemic or thrombotic risk in NSTE-ACS patients, Dr. Dangas noted.

The new study shows that the 1-year major adverse cardiovascular events (MACE) risk was four times greater in patients classified as medium risk (hazard ratio, 4.31; 95% confidence interval, 2.47-7.52) and six times greater in high-risk patients (HR, 6.16; 95% CI, 3.52-10.8), compared with the low-risk group, mostly because of higher rates of all-cause death and myocardial infarction, Dr. Dangas said in an interview.

“Indeed, we found some good correlation between the three risk categories and gradation of risk that validates essentially, but with the statistical testing that we need, that this classification is meaningful if not perfect,” Dr. Dangas said. “In the future we may perform calibrations to enhance its performance.”

The study used data on consecutive patients from the Angioplasty and Stent Procedures Database of Mount Sinai, grouping them into low, medium, and high thrombotic risk based on the proposed ESC guidelines for the management of NSTE-ACS.

The guidelines included a subset of criteria to identify patients with increased thrombotic risk who may benefit from extended treatment with a second antithrombotic agent.

This study aimed to evaluate the value of the criteria to identify patients at higher risk of ischemic events. “That’s why we went to our database to see how this might work,” Dr. Dangas said.

The researchers also found that high-risk patients had about a 40% greater risk of major bleeding (HR, 1.39; 95% CI, 1.06-1.84). Bleeding risks were similar between the low- and moderate-risk groups.

The risk categories reflected the rates of all-cause death, myocardial infarction, or stroke: 5.4%, 4.1%, and 1.6% in the high-, moderate-, and low-risks groups, respectively (P < .001).

“This identification of ischemic risks worked very well for all-cause mortality,” Dr. Dangas said. “I feel this is a strength because mortality is a leader of outcomes. And of course, we’ve had some associations with all events like mortality, myocardial infarction, repeat revascularization, which are interesting and valid, but I think a study result that indicates the mortality itself is known to be unidirectional and a very good correlation makes the result more robust.”
 

Critical role

Risk prediction models such as the proposed ESC guidelines will play a critical role as individualized medicine continues to evolve, Somjot Brar, MD, MPH, director of the regional department of cardiac catheterization at Kaiser Permanente, Los Angeles Medical Center, and associate clinical professor at the University of California, Los Angeles, said in an interview.

UCLA

“This study highlights again the importance of the value for predictive and precision medicine,” Dr. Brar said. “Everything is moving in this direction where we make decisions that are more appropriate for a given patient as opposed to a population of patients.”

Study strengths are the large sample size in a real-world setting and thorough 1-year follow-up, Dr. Brar said.

A limitation is the three risk categories the guidelines proposed. “These are still pretty big boxes,” he said. “The low-, moderate- and high-risk categorization is still very, very broad and can be very vague.”

The relatively low percentage of low-risk patients – 12% versus 56% and 32% for the moderate- and high-risk groups – in this data set may also skew results, Dr. Brar said.

“As we move toward predictive analytics and medicine, we want to make these boxes smaller and smaller and smaller to be able to better understand which treatments should be administered to which patients to maximize the benefit against the risk,” he said. That would be a focus for future analyses, Dr. Brar said.

Dr. Dangas and Dr. Brar have no relevant financial disclosures.


 

Use of a machine-learning model that incorporates information from a single troponin test as well as other clinical data was superior to current practice as an aid to the diagnosis of myocardial infarction in the emergency department in a new study.

“Our results suggest that by using this machine-learning model, compared to the currently recommended approach, we could double the proportion of patients who are identified correctly as having a low probability of an MI on arrival to enable immediate discharge and free up space in the emergency department,” senior author Nicholas L. Mills, MD, University of Edinburgh, Scotland, said in an interview.

“And, perhaps even more importantly, use of this model could also increase the proportion of patients who are correctly identified as at a high probability of having an MI,” he added.

The study was published online in Nature Medicine.

The authors explained that at present, the likelihood of an MI diagnosis for patients presenting to the emergency department with chest pain is based on a fixed troponin threshold in serial tests at specific time points, but there are several problems with this approach.

First, a fixed troponin threshold is generally used for all patients, which does not account for age, sex, or comorbidities that are known to influence cardiac troponin concentrations. Second, the need to perform tests at specific time points for serial testing can be challenging in busy emergency departments.

And third, patients are categorized as being at low, intermediate, or high risk of MI on the basis of troponin thresholds alone, and the test does not take into account other important factors, such as the time of symptom onset or findings on the electrocardiogram.

“Our current practice of using the same threshold to rule in and rule out an MI for everyone, regardless of whether they are an 18-year-old female without a history of heart disease or an 85-year-old male with known heart failure, doesn’t perform well, and there’s a significant risk of misdiagnosis. There is also a high likelihood for inequalities in care, particularly between men and women,” Dr. Mills said.

The current study evaluated whether use of a machine learning model known as CoDE-ACS to guide decision-making could overcome some of these challenges.

The machine learning model assesses the whole spectrum of troponin levels as a continuous variable (rather than use of a single threshold) and turns this measurement into a probability that an individual patient is having an MI after accounting for other factors, including age, sex, comorbidities, and time from symptom onset.

For the current study, the CoDE-ACS model was trained in 10,000 patients with suspected acute coronary syndrome (ACS) who presented to 10 hospitals in Scotland as part of the High-STEACS trial evaluating the implementation of a high-sensitivity cardiac troponin I assay. The results were then validated in another 10,000 patients from six countries around the world.

“Using this model, the patient can have a troponin test on arrival at the emergency department. The other information on age, sex, clinical history, and time since symptom onset is keyed in, and it gives a probability on a scale of 0–100 as to whether the patient is having an MI,” Dr. Mills noted.

“It also has the capacity to incorporate more information over time. So, if there is a second troponin measurement made, then the model automatically refines the probability score,” he added.

The current study showed that use of the CoDE-ACS model identified more patients at presentation as having a low probability of having an MI than fixed cardiac troponin thresholds (61% vs. 27%) with a similar negative predictive value.

It also identified fewer patients as having a high probability of having an MI (10% vs. 16%) with a greater positive predictive value.

Among patients who were identified as having a low probability of MI, the rate of cardiac death was lower than the rate among those with intermediate or high probability at 30 days (0.1% vs. 0.5% and 1.8%) and 1 year (0.3% vs. 2.8% and 4.2%).

“The results show that the machine learning model doubles the proportion of patients who can be discharged with a single test compared to the current practice of using the threshold approach. It really is a game changer in terms of its potential to improve health efficiency,” Dr. Mills said.

In terms of ruling patients in as possibly having an MI, he pointed out that troponin levels are increased in patients with a wide range of other conditions, including heart failure, kidney failure, and atrial fibrillation.

“When using the threshold approach, only one in four patients with an elevated troponin level will actually be having an MI, and that leads to confusion,” he said. “This model takes into consideration these other conditions and so it can correctly identify three out of four patients with a high probability of having an MI. We can therefore be more confident that it is appropriate to refer those patients to cardiology and save a lot of potentially unnecessary investigations and treatments in the others.”

Dr. Mills said the model also seems to work when assessing patients early on.

“Around one-third of patients present within 3 hours of symptom onset, and actually these are a high-risk group because people who have genuine cardiac pain are normally extremely uncomfortable and tend to present quickly. Current guidelines require that we do two tests in all these individuals, but this new model incorporates the time of symptom onset into its estimates of probability and therefore allows us to rule out patients even when they present very early.”

He reported that a second test is required in only one in five patients – those whose first test indicated intermediate probability.

“The second test allows us to refine the probability further, allowing us to rule another half of those patients out. We are then left with a small proportion of patients – about 1 in 10 – who remain of intermediate probability and will require additional clinical judgment.”
 

Should improve inequities in MI diagnosis

Dr. Mills said the CoDE-ACS model will improve current inequities in MI diagnosis, because of which MI is underrecognized in women and younger people.

“Women have troponin concentrations that are half those of men, and although sex-specific troponin thresholds are recommended in the guidelines, they are not widely used. This automatically leads to underrecognition of heart disease in women. But this new machine learning model performs identically in men and women because it has been trained to recognize the different normal levels in men and women,” he explained.

“It will also help us not to underdiagnose MI in younger people who often have a less classical presentation of MI, and they also generally have very low concentrations of troponin, so any increase in troponin way below the current diagnostic threshold may be very relevant to their risk,” he added.

The researchers are planning a randomized trial of the new model to demonstrate the impact it could have on equality of care and overcrowding in the emergency department. In the trial, patients will be randomly assigned to undergo decision-making on the basis of troponin thresholds (current practice) or to undergo decision-making through the CoDE-ACS model.

“The hope is that this trial will show reductions in unnecessary hospital admissions and length of stay in the emergency department,” Dr. Mills said. Results are expected sometime next year.

“This algorithm is very well trained. It has learned on 20,000 patients, so it has a lot more experience than I have, and I have been a professor of cardiology for 20 years,” Dr. Mills said.

He said he believes these models will get even smarter in the future as more data are added.

“I think the future for good decision-making in emergency care will be informed by clinical decision support from well-trained machine learning algorithms and they will help us guide not just the diagnosis of MI but also heart failure and other important cardiac conditions,” he said.
 

‘Elegant and exciting’ data

Commenting on the study, John W. McEvoy, MB, University of Galway, Ireland, said: “These are elegant and exciting data; however, the inputs into the machine learning algorithm include all the necessary information to actually diagnose MI. So why predict MI, when a human diagnosis can just be made directly? The answer to this question may depend on whether we trust machines more than humans.”

Dr. Mills noted that clinical judgment will always be an important part of MI diagnosis.

“Currently, using the troponin threshold approach, experienced clinicians will be able to nuance the results, but invariably, there is disagreement on this, and this can be a major source of tension within clinical care. By providing more individualized information, this will help enormously in the decision-making process,” he said.

“This model is not about replacing clinical decision-making. It’s more about augmenting decision-making and giving clinicians guidance to be able to improve efficiency and reduce inequality,” he added.

The study was funded with support from the National Institute for Health Research and NHSX, the British Heart Foundation, and Wellcome Leap. Dr. Mills has received honoraria or consultancy from Abbott Diagnostics, Roche Diagnostics, Siemens Healthineers, and LumiraDx. He is employed by the University of Edinburgh, which has filed a patent on the Collaboration for the Diagnosis and Evaluation of Acute Coronary Syndrome score.
 

A version of this article first appeared on Medscape.com.

Use of a machine-learning model that incorporates information from a single troponin test as well as other clinical data was superior to current practice as an aid to the diagnosis of myocardial infarction in the emergency department in a new study.

“Our results suggest that by using this machine-learning model, compared to the currently recommended approach, we could double the proportion of patients who are identified correctly as having a low probability of an MI on arrival to enable immediate discharge and free up space in the emergency department,” senior author Nicholas L. Mills, MD, University of Edinburgh, Scotland, said in an interview.

“And, perhaps even more importantly, use of this model could also increase the proportion of patients who are correctly identified as at a high probability of having an MI,” he added.

The study was published online in Nature Medicine.

The authors explained that at present, the likelihood of an MI diagnosis for patients presenting to the emergency department with chest pain is based on a fixed troponin threshold in serial tests at specific time points, but there are several problems with this approach.

First, a fixed troponin threshold is generally used for all patients, which does not account for age, sex, or comorbidities that are known to influence cardiac troponin concentrations. Second, the need to perform tests at specific time points for serial testing can be challenging in busy emergency departments.

And third, patients are categorized as being at low, intermediate, or high risk of MI on the basis of troponin thresholds alone, and the test does not take into account other important factors, such as the time of symptom onset or findings on the electrocardiogram.

“Our current practice of using the same threshold to rule in and rule out an MI for everyone, regardless of whether they are an 18-year-old female without a history of heart disease or an 85-year-old male with known heart failure, doesn’t perform well, and there’s a significant risk of misdiagnosis. There is also a high likelihood for inequalities in care, particularly between men and women,” Dr. Mills said.

The current study evaluated whether use of a machine learning model known as CoDE-ACS to guide decision-making could overcome some of these challenges.

The machine learning model assesses the whole spectrum of troponin levels as a continuous variable (rather than use of a single threshold) and turns this measurement into a probability that an individual patient is having an MI after accounting for other factors, including age, sex, comorbidities, and time from symptom onset.

For the current study, the CoDE-ACS model was trained in 10,000 patients with suspected acute coronary syndrome (ACS) who presented to 10 hospitals in Scotland as part of the High-STEACS trial evaluating the implementation of a high-sensitivity cardiac troponin I assay. The results were then validated in another 10,000 patients from six countries around the world.

“Using this model, the patient can have a troponin test on arrival at the emergency department. The other information on age, sex, clinical history, and time since symptom onset is keyed in, and it gives a probability on a scale of 0–100 as to whether the patient is having an MI,” Dr. Mills noted.

“It also has the capacity to incorporate more information over time. So, if there is a second troponin measurement made, then the model automatically refines the probability score,” he added.

The current study showed that use of the CoDE-ACS model identified more patients at presentation as having a low probability of having an MI than fixed cardiac troponin thresholds (61% vs. 27%) with a similar negative predictive value.

It also identified fewer patients as having a high probability of having an MI (10% vs. 16%) with a greater positive predictive value.

Among patients who were identified as having a low probability of MI, the rate of cardiac death was lower than the rate among those with intermediate or high probability at 30 days (0.1% vs. 0.5% and 1.8%) and 1 year (0.3% vs. 2.8% and 4.2%).

“The results show that the machine learning model doubles the proportion of patients who can be discharged with a single test compared to the current practice of using the threshold approach. It really is a game changer in terms of its potential to improve health efficiency,” Dr. Mills said.

In terms of ruling patients in as possibly having an MI, he pointed out that troponin levels are increased in patients with a wide range of other conditions, including heart failure, kidney failure, and atrial fibrillation.

“When using the threshold approach, only one in four patients with an elevated troponin level will actually be having an MI, and that leads to confusion,” he said. “This model takes into consideration these other conditions and so it can correctly identify three out of four patients with a high probability of having an MI. We can therefore be more confident that it is appropriate to refer those patients to cardiology and save a lot of potentially unnecessary investigations and treatments in the others.”

Dr. Mills said the model also seems to work when assessing patients early on.

“Around one-third of patients present within 3 hours of symptom onset, and actually these are a high-risk group because people who have genuine cardiac pain are normally extremely uncomfortable and tend to present quickly. Current guidelines require that we do two tests in all these individuals, but this new model incorporates the time of symptom onset into its estimates of probability and therefore allows us to rule out patients even when they present very early.”

He reported that a second test is required in only one in five patients – those whose first test indicated intermediate probability.

“The second test allows us to refine the probability further, allowing us to rule another half of those patients out. We are then left with a small proportion of patients – about 1 in 10 – who remain of intermediate probability and will require additional clinical judgment.”
 

Should improve inequities in MI diagnosis

Dr. Mills said the CoDE-ACS model will improve current inequities in MI diagnosis, because of which MI is underrecognized in women and younger people.

“Women have troponin concentrations that are half those of men, and although sex-specific troponin thresholds are recommended in the guidelines, they are not widely used. This automatically leads to underrecognition of heart disease in women. But this new machine learning model performs identically in men and women because it has been trained to recognize the different normal levels in men and women,” he explained.

“It will also help us not to underdiagnose MI in younger people who often have a less classical presentation of MI, and they also generally have very low concentrations of troponin, so any increase in troponin way below the current diagnostic threshold may be very relevant to their risk,” he added.

The researchers are planning a randomized trial of the new model to demonstrate the impact it could have on equality of care and overcrowding in the emergency department. In the trial, patients will be randomly assigned to undergo decision-making on the basis of troponin thresholds (current practice) or to undergo decision-making through the CoDE-ACS model.

“The hope is that this trial will show reductions in unnecessary hospital admissions and length of stay in the emergency department,” Dr. Mills said. Results are expected sometime next year.

“This algorithm is very well trained. It has learned on 20,000 patients, so it has a lot more experience than I have, and I have been a professor of cardiology for 20 years,” Dr. Mills said.

He said he believes these models will get even smarter in the future as more data are added.

“I think the future for good decision-making in emergency care will be informed by clinical decision support from well-trained machine learning algorithms and they will help us guide not just the diagnosis of MI but also heart failure and other important cardiac conditions,” he said.
 

‘Elegant and exciting’ data

Commenting on the study, John W. McEvoy, MB, University of Galway, Ireland, said: “These are elegant and exciting data; however, the inputs into the machine learning algorithm include all the necessary information to actually diagnose MI. So why predict MI, when a human diagnosis can just be made directly? The answer to this question may depend on whether we trust machines more than humans.”

Dr. Mills noted that clinical judgment will always be an important part of MI diagnosis.

“Currently, using the troponin threshold approach, experienced clinicians will be able to nuance the results, but invariably, there is disagreement on this, and this can be a major source of tension within clinical care. By providing more individualized information, this will help enormously in the decision-making process,” he said.

“This model is not about replacing clinical decision-making. It’s more about augmenting decision-making and giving clinicians guidance to be able to improve efficiency and reduce inequality,” he added.

The study was funded with support from the National Institute for Health Research and NHSX, the British Heart Foundation, and Wellcome Leap. Dr. Mills has received honoraria or consultancy from Abbott Diagnostics, Roche Diagnostics, Siemens Healthineers, and LumiraDx. He is employed by the University of Edinburgh, which has filed a patent on the Collaboration for the Diagnosis and Evaluation of Acute Coronary Syndrome score.
 

A version of this article first appeared on Medscape.com.

Use of a machine-learning model that incorporates information from a single troponin test as well as other clinical data was superior to current practice as an aid to the diagnosis of myocardial infarction in the emergency department in a new study.

“Our results suggest that by using this machine-learning model, compared to the currently recommended approach, we could double the proportion of patients who are identified correctly as having a low probability of an MI on arrival to enable immediate discharge and free up space in the emergency department,” senior author Nicholas L. Mills, MD, University of Edinburgh, Scotland, said in an interview.

“And, perhaps even more importantly, use of this model could also increase the proportion of patients who are correctly identified as at a high probability of having an MI,” he added.

The study was published online in Nature Medicine.

The authors explained that at present, the likelihood of an MI diagnosis for patients presenting to the emergency department with chest pain is based on a fixed troponin threshold in serial tests at specific time points, but there are several problems with this approach.

First, a fixed troponin threshold is generally used for all patients, which does not account for age, sex, or comorbidities that are known to influence cardiac troponin concentrations. Second, the need to perform tests at specific time points for serial testing can be challenging in busy emergency departments.

And third, patients are categorized as being at low, intermediate, or high risk of MI on the basis of troponin thresholds alone, and the test does not take into account other important factors, such as the time of symptom onset or findings on the electrocardiogram.

“Our current practice of using the same threshold to rule in and rule out an MI for everyone, regardless of whether they are an 18-year-old female without a history of heart disease or an 85-year-old male with known heart failure, doesn’t perform well, and there’s a significant risk of misdiagnosis. There is also a high likelihood for inequalities in care, particularly between men and women,” Dr. Mills said.

The current study evaluated whether use of a machine learning model known as CoDE-ACS to guide decision-making could overcome some of these challenges.

The machine learning model assesses the whole spectrum of troponin levels as a continuous variable (rather than use of a single threshold) and turns this measurement into a probability that an individual patient is having an MI after accounting for other factors, including age, sex, comorbidities, and time from symptom onset.

For the current study, the CoDE-ACS model was trained in 10,000 patients with suspected acute coronary syndrome (ACS) who presented to 10 hospitals in Scotland as part of the High-STEACS trial evaluating the implementation of a high-sensitivity cardiac troponin I assay. The results were then validated in another 10,000 patients from six countries around the world.

“Using this model, the patient can have a troponin test on arrival at the emergency department. The other information on age, sex, clinical history, and time since symptom onset is keyed in, and it gives a probability on a scale of 0–100 as to whether the patient is having an MI,” Dr. Mills noted.

“It also has the capacity to incorporate more information over time. So, if there is a second troponin measurement made, then the model automatically refines the probability score,” he added.

The current study showed that use of the CoDE-ACS model identified more patients at presentation as having a low probability of having an MI than fixed cardiac troponin thresholds (61% vs. 27%) with a similar negative predictive value.

It also identified fewer patients as having a high probability of having an MI (10% vs. 16%) with a greater positive predictive value.

Among patients who were identified as having a low probability of MI, the rate of cardiac death was lower than the rate among those with intermediate or high probability at 30 days (0.1% vs. 0.5% and 1.8%) and 1 year (0.3% vs. 2.8% and 4.2%).

“The results show that the machine learning model doubles the proportion of patients who can be discharged with a single test compared to the current practice of using the threshold approach. It really is a game changer in terms of its potential to improve health efficiency,” Dr. Mills said.

In terms of ruling patients in as possibly having an MI, he pointed out that troponin levels are increased in patients with a wide range of other conditions, including heart failure, kidney failure, and atrial fibrillation.

“When using the threshold approach, only one in four patients with an elevated troponin level will actually be having an MI, and that leads to confusion,” he said. “This model takes into consideration these other conditions and so it can correctly identify three out of four patients with a high probability of having an MI. We can therefore be more confident that it is appropriate to refer those patients to cardiology and save a lot of potentially unnecessary investigations and treatments in the others.”

Dr. Mills said the model also seems to work when assessing patients early on.

“Around one-third of patients present within 3 hours of symptom onset, and actually these are a high-risk group because people who have genuine cardiac pain are normally extremely uncomfortable and tend to present quickly. Current guidelines require that we do two tests in all these individuals, but this new model incorporates the time of symptom onset into its estimates of probability and therefore allows us to rule out patients even when they present very early.”

He reported that a second test is required in only one in five patients – those whose first test indicated intermediate probability.

“The second test allows us to refine the probability further, allowing us to rule another half of those patients out. We are then left with a small proportion of patients – about 1 in 10 – who remain of intermediate probability and will require additional clinical judgment.”
 

Should improve inequities in MI diagnosis

Dr. Mills said the CoDE-ACS model will improve current inequities in MI diagnosis, because of which MI is underrecognized in women and younger people.

“Women have troponin concentrations that are half those of men, and although sex-specific troponin thresholds are recommended in the guidelines, they are not widely used. This automatically leads to underrecognition of heart disease in women. But this new machine learning model performs identically in men and women because it has been trained to recognize the different normal levels in men and women,” he explained.

“It will also help us not to underdiagnose MI in younger people who often have a less classical presentation of MI, and they also generally have very low concentrations of troponin, so any increase in troponin way below the current diagnostic threshold may be very relevant to their risk,” he added.

The researchers are planning a randomized trial of the new model to demonstrate the impact it could have on equality of care and overcrowding in the emergency department. In the trial, patients will be randomly assigned to undergo decision-making on the basis of troponin thresholds (current practice) or to undergo decision-making through the CoDE-ACS model.

“The hope is that this trial will show reductions in unnecessary hospital admissions and length of stay in the emergency department,” Dr. Mills said. Results are expected sometime next year.

“This algorithm is very well trained. It has learned on 20,000 patients, so it has a lot more experience than I have, and I have been a professor of cardiology for 20 years,” Dr. Mills said.

He said he believes these models will get even smarter in the future as more data are added.

“I think the future for good decision-making in emergency care will be informed by clinical decision support from well-trained machine learning algorithms and they will help us guide not just the diagnosis of MI but also heart failure and other important cardiac conditions,” he said.
 

‘Elegant and exciting’ data

Commenting on the study, John W. McEvoy, MB, University of Galway, Ireland, said: “These are elegant and exciting data; however, the inputs into the machine learning algorithm include all the necessary information to actually diagnose MI. So why predict MI, when a human diagnosis can just be made directly? The answer to this question may depend on whether we trust machines more than humans.”

Dr. Mills noted that clinical judgment will always be an important part of MI diagnosis.

“Currently, using the troponin threshold approach, experienced clinicians will be able to nuance the results, but invariably, there is disagreement on this, and this can be a major source of tension within clinical care. By providing more individualized information, this will help enormously in the decision-making process,” he said.

“This model is not about replacing clinical decision-making. It’s more about augmenting decision-making and giving clinicians guidance to be able to improve efficiency and reduce inequality,” he added.

The study was funded with support from the National Institute for Health Research and NHSX, the British Heart Foundation, and Wellcome Leap. Dr. Mills has received honoraria or consultancy from Abbott Diagnostics, Roche Diagnostics, Siemens Healthineers, and LumiraDx. He is employed by the University of Edinburgh, which has filed a patent on the Collaboration for the Diagnosis and Evaluation of Acute Coronary Syndrome score.
 

A version of this article first appeared on Medscape.com.

Using age-specific thresholds for troponin measurement would more accurately diagnose myocardial injury when assessing patients for suspected myocardial infarction, a study suggests.
 

The study shows that the 99th percentile for the upper reference limit (used to define myocardial injury) for high-sensitivity (hs)–troponin T in the new analysis matched those reported by manufacturers. However, the same threshold for hs–troponin I was lower than was manufacturer-reported levels when considering the whole population.

And for both hs–troponin T and hs–troponin I, there were significant differences in 99th percentile levels by age.

“Our data suggest that some cases of myocardial injury may be missed in the whole population by using current non–age specific thresholds of troponin I,” lead author, John McEvoy, MB, University of Galway (Ireland), said in an interview. “If the non–age specific threshold was lowered to that in our cohort, then we would pick up more people with myocardial injury.”

“However,” Dr. McEvoy added, “if age-specific thresholds were deployed, then our data suggest that thresholds used to diagnose myocardial injury would need to be higher in older adults, somewhat lower in middle-aged individuals and much lower in younger people.”

The study was published online in the Journal of the American College of Cardiology.  

The authors explain that the 99th percentile upper–reference limit threshold is the common benchmark of abnormality for all troponin assays. Five high-sensitivity cardiac troponin assays have been cleared by the Food and Drug Administration for clinical use and allow for earlier diagnosis of MI.

However, there has been variability in the approach used to define the 99th percentile upper reference limits for these assays, with definitions of healthy reference populations differing and the various assays available are not standardized or harmonized. So troponin concentrations at 99th percentiles do not align across assays, and the generalizability of manufacturer-reported reference upper reference limits for hs-troponin assays to the U.S. adult population is unknown.

They note that though sex-specific 99th percentile upper reference limits for hs-troponin have been recommended since 2018, age-specific thresholds are not yet endorsed, and whether thresholds differ by race or ethnicity is also controversial.

They aimed to investigate these issues using stored serum samples from adults aged 18 or older who participated in the 1999-2004 National Health and Nutrition Examination Survey (NHANES).

Dr. McEvoy described the NHANES database as “the gold standard cohort for representation of the U.S. adult population,” noting that other studies conducted by the manufacturers of the troponin tests have often used convenience samples from patients attending hospital clinics and blood donors, which he said were not representative of the whole population.

For the study, the researchers estimated that the 99th percentile upper reference limit for four hs-troponin assays (one troponin T and three troponin I) in a strictly defined healthy reference subgroup of 2,746 individuals from the NHANES cohort.

Results showed that the NHANES 99th percentile upper reference limit for hs–troponin T (19 ng/L) matched the manufacturer-reported level (19 ng/L). But, the NHANES upper reference levels for three troponin I assays were lower than were levels stated by the manufacturers.

The NHANES levels were 13 ng/L for the Abbott hs–troponin I assay (manufacturer: 28 ng/L); 5 ng/L for the Ortho hs–troponin I assay (manufacturer: 11 ng/L); and 37 ng/L for the Siemens hs–troponin I assay (manufacturer: 46.5 ng/L).

Furthermore, the 99th percentile upper reference limits for all four hs-troponin assays were statistically significantly lower in healthy adults younger than 40 years, compared with healthy adults older than 60 years.

There were also significant differences in upper reference limits by sex, but none by race/ethnicity.

Dr. McEvoy explained that NHANES is a very well phenotyped database with information on individuals’ health, body mass index, and other biomarkers. “This allows us to define a completely healthy subgroup of people, which could explain why the 99th percentile threshold for hs–troponin I was lower than previously reported from other cohorts,” he added.

Though there may be concern that such a healthy subgroup would mean the sample is enriched with younger people, whereas the typical person having their troponin measured would be older, Dr. McEvoy pointed out that there were more than 400 people older than 60 years in the healthy group. “This is probably the biggest cohort of super healthy older U.S. adults ever sampled in this regard,” he commented.

Dr. McEvoy said that the overall results from the study suggested that different thresholds might need to be considered for troponin I. “This could lead to threshold levels used to diagnose myocardial injury being cut in the population as a whole.”

But, he said a more important message was the need for age-specific thresholds.

“We found that troponin levels track with age. Even in individuals who age in a very healthy way, their troponin levels are greater than in younger people. This is the first time this has been shown with such clear statistical significance,” Dr. McEvoy said. “We think this data provides a compelling case for the use of age-specific cut-offs.”

He explained that, if age-specific thresholds were used to diagnose myocardial injury, the cut point from the current data would be higher than it would be from current manufacturers’ recommendations in those older than 60 years, so fewer people in this age group would be labeled as having myocardial injury.

“Our results suggest that, at present, we are seeing more false positives in older people leading to more unnecessary tests.” Using age-specific cut off points will reduce the number of false positives in older people. Dr. McEvoy noted a similar change in the way D-Dimer blood tests have been used to diagnose pulmonary embolism in recent years.

Using age-specific cut-offs for hs-troponin would also reduce the number of false negatives in younger people, Dr. McEvoy added.
 

Further studies needed?

In an accompanying editorial, Cian McCarthy, MB, Austin Vyas, and James Januzzi, MD, of Massachusetts General Hospital, Boston, note that though there are substantial shortcomings to using the 99th percentile upper reference limit of troponins for the diagnosis of cardiac injury, they believe this measurement should persist as a central component of the MI diagnostic criteria, with the caveat that this is only one component of the definition of MI and does not alone define it.

“Cardiac troponin measurement is one of the most commonly utilized blood tests in hospital-based settings, and yet important questions remain about what exactly is a normal value for this test,” the editorialists comment.

They say this new study emphasizes the importance of age and sex in interpretation of troponin levels.

“Although the use of such cut-offs may further complicate MI diagnostic criteria, this is superseded by the benefits of improved diagnostic accuracy in younger and female patients (a critical health equity step) while reducing MI overdiagnosis in the elderly, with the resultant harms that might follow, adverse psychosocial patient impact, and unnecessary health care expenditure from cascade testing,” they write.

They conclude that further large studies derived from healthy cohorts should be conducted to answer this question in a definitive fashion.

A version of this article first appeared on Medscape.com.

Using age-specific thresholds for troponin measurement would more accurately diagnose myocardial injury when assessing patients for suspected myocardial infarction, a study suggests.
 

The study shows that the 99th percentile for the upper reference limit (used to define myocardial injury) for high-sensitivity (hs)–troponin T in the new analysis matched those reported by manufacturers. However, the same threshold for hs–troponin I was lower than was manufacturer-reported levels when considering the whole population.

And for both hs–troponin T and hs–troponin I, there were significant differences in 99th percentile levels by age.

“Our data suggest that some cases of myocardial injury may be missed in the whole population by using current non–age specific thresholds of troponin I,” lead author, John McEvoy, MB, University of Galway (Ireland), said in an interview. “If the non–age specific threshold was lowered to that in our cohort, then we would pick up more people with myocardial injury.”

“However,” Dr. McEvoy added, “if age-specific thresholds were deployed, then our data suggest that thresholds used to diagnose myocardial injury would need to be higher in older adults, somewhat lower in middle-aged individuals and much lower in younger people.”

The study was published online in the Journal of the American College of Cardiology.  

The authors explain that the 99th percentile upper–reference limit threshold is the common benchmark of abnormality for all troponin assays. Five high-sensitivity cardiac troponin assays have been cleared by the Food and Drug Administration for clinical use and allow for earlier diagnosis of MI.

However, there has been variability in the approach used to define the 99th percentile upper reference limits for these assays, with definitions of healthy reference populations differing and the various assays available are not standardized or harmonized. So troponin concentrations at 99th percentiles do not align across assays, and the generalizability of manufacturer-reported reference upper reference limits for hs-troponin assays to the U.S. adult population is unknown.

They note that though sex-specific 99th percentile upper reference limits for hs-troponin have been recommended since 2018, age-specific thresholds are not yet endorsed, and whether thresholds differ by race or ethnicity is also controversial.

They aimed to investigate these issues using stored serum samples from adults aged 18 or older who participated in the 1999-2004 National Health and Nutrition Examination Survey (NHANES).

Dr. McEvoy described the NHANES database as “the gold standard cohort for representation of the U.S. adult population,” noting that other studies conducted by the manufacturers of the troponin tests have often used convenience samples from patients attending hospital clinics and blood donors, which he said were not representative of the whole population.

For the study, the researchers estimated that the 99th percentile upper reference limit for four hs-troponin assays (one troponin T and three troponin I) in a strictly defined healthy reference subgroup of 2,746 individuals from the NHANES cohort.

Results showed that the NHANES 99th percentile upper reference limit for hs–troponin T (19 ng/L) matched the manufacturer-reported level (19 ng/L). But, the NHANES upper reference levels for three troponin I assays were lower than were levels stated by the manufacturers.

The NHANES levels were 13 ng/L for the Abbott hs–troponin I assay (manufacturer: 28 ng/L); 5 ng/L for the Ortho hs–troponin I assay (manufacturer: 11 ng/L); and 37 ng/L for the Siemens hs–troponin I assay (manufacturer: 46.5 ng/L).

Furthermore, the 99th percentile upper reference limits for all four hs-troponin assays were statistically significantly lower in healthy adults younger than 40 years, compared with healthy adults older than 60 years.

There were also significant differences in upper reference limits by sex, but none by race/ethnicity.

Dr. McEvoy explained that NHANES is a very well phenotyped database with information on individuals’ health, body mass index, and other biomarkers. “This allows us to define a completely healthy subgroup of people, which could explain why the 99th percentile threshold for hs–troponin I was lower than previously reported from other cohorts,” he added.

Though there may be concern that such a healthy subgroup would mean the sample is enriched with younger people, whereas the typical person having their troponin measured would be older, Dr. McEvoy pointed out that there were more than 400 people older than 60 years in the healthy group. “This is probably the biggest cohort of super healthy older U.S. adults ever sampled in this regard,” he commented.

Dr. McEvoy said that the overall results from the study suggested that different thresholds might need to be considered for troponin I. “This could lead to threshold levels used to diagnose myocardial injury being cut in the population as a whole.”

But, he said a more important message was the need for age-specific thresholds.

“We found that troponin levels track with age. Even in individuals who age in a very healthy way, their troponin levels are greater than in younger people. This is the first time this has been shown with such clear statistical significance,” Dr. McEvoy said. “We think this data provides a compelling case for the use of age-specific cut-offs.”

He explained that, if age-specific thresholds were used to diagnose myocardial injury, the cut point from the current data would be higher than it would be from current manufacturers’ recommendations in those older than 60 years, so fewer people in this age group would be labeled as having myocardial injury.

“Our results suggest that, at present, we are seeing more false positives in older people leading to more unnecessary tests.” Using age-specific cut off points will reduce the number of false positives in older people. Dr. McEvoy noted a similar change in the way D-Dimer blood tests have been used to diagnose pulmonary embolism in recent years.

Using age-specific cut-offs for hs-troponin would also reduce the number of false negatives in younger people, Dr. McEvoy added.
 

Further studies needed?

In an accompanying editorial, Cian McCarthy, MB, Austin Vyas, and James Januzzi, MD, of Massachusetts General Hospital, Boston, note that though there are substantial shortcomings to using the 99th percentile upper reference limit of troponins for the diagnosis of cardiac injury, they believe this measurement should persist as a central component of the MI diagnostic criteria, with the caveat that this is only one component of the definition of MI and does not alone define it.

“Cardiac troponin measurement is one of the most commonly utilized blood tests in hospital-based settings, and yet important questions remain about what exactly is a normal value for this test,” the editorialists comment.

They say this new study emphasizes the importance of age and sex in interpretation of troponin levels.

“Although the use of such cut-offs may further complicate MI diagnostic criteria, this is superseded by the benefits of improved diagnostic accuracy in younger and female patients (a critical health equity step) while reducing MI overdiagnosis in the elderly, with the resultant harms that might follow, adverse psychosocial patient impact, and unnecessary health care expenditure from cascade testing,” they write.

They conclude that further large studies derived from healthy cohorts should be conducted to answer this question in a definitive fashion.

A version of this article first appeared on Medscape.com.

Using age-specific thresholds for troponin measurement would more accurately diagnose myocardial injury when assessing patients for suspected myocardial infarction, a study suggests.
 

The study shows that the 99th percentile for the upper reference limit (used to define myocardial injury) for high-sensitivity (hs)–troponin T in the new analysis matched those reported by manufacturers. However, the same threshold for hs–troponin I was lower than was manufacturer-reported levels when considering the whole population.

And for both hs–troponin T and hs–troponin I, there were significant differences in 99th percentile levels by age.

“Our data suggest that some cases of myocardial injury may be missed in the whole population by using current non–age specific thresholds of troponin I,” lead author, John McEvoy, MB, University of Galway (Ireland), said in an interview. “If the non–age specific threshold was lowered to that in our cohort, then we would pick up more people with myocardial injury.”

“However,” Dr. McEvoy added, “if age-specific thresholds were deployed, then our data suggest that thresholds used to diagnose myocardial injury would need to be higher in older adults, somewhat lower in middle-aged individuals and much lower in younger people.”

The study was published online in the Journal of the American College of Cardiology.  

The authors explain that the 99th percentile upper–reference limit threshold is the common benchmark of abnormality for all troponin assays. Five high-sensitivity cardiac troponin assays have been cleared by the Food and Drug Administration for clinical use and allow for earlier diagnosis of MI.

However, there has been variability in the approach used to define the 99th percentile upper reference limits for these assays, with definitions of healthy reference populations differing and the various assays available are not standardized or harmonized. So troponin concentrations at 99th percentiles do not align across assays, and the generalizability of manufacturer-reported reference upper reference limits for hs-troponin assays to the U.S. adult population is unknown.

They note that though sex-specific 99th percentile upper reference limits for hs-troponin have been recommended since 2018, age-specific thresholds are not yet endorsed, and whether thresholds differ by race or ethnicity is also controversial.

They aimed to investigate these issues using stored serum samples from adults aged 18 or older who participated in the 1999-2004 National Health and Nutrition Examination Survey (NHANES).

Dr. McEvoy described the NHANES database as “the gold standard cohort for representation of the U.S. adult population,” noting that other studies conducted by the manufacturers of the troponin tests have often used convenience samples from patients attending hospital clinics and blood donors, which he said were not representative of the whole population.

For the study, the researchers estimated that the 99th percentile upper reference limit for four hs-troponin assays (one troponin T and three troponin I) in a strictly defined healthy reference subgroup of 2,746 individuals from the NHANES cohort.

Results showed that the NHANES 99th percentile upper reference limit for hs–troponin T (19 ng/L) matched the manufacturer-reported level (19 ng/L). But, the NHANES upper reference levels for three troponin I assays were lower than were levels stated by the manufacturers.

The NHANES levels were 13 ng/L for the Abbott hs–troponin I assay (manufacturer: 28 ng/L); 5 ng/L for the Ortho hs–troponin I assay (manufacturer: 11 ng/L); and 37 ng/L for the Siemens hs–troponin I assay (manufacturer: 46.5 ng/L).

Furthermore, the 99th percentile upper reference limits for all four hs-troponin assays were statistically significantly lower in healthy adults younger than 40 years, compared with healthy adults older than 60 years.

There were also significant differences in upper reference limits by sex, but none by race/ethnicity.

Dr. McEvoy explained that NHANES is a very well phenotyped database with information on individuals’ health, body mass index, and other biomarkers. “This allows us to define a completely healthy subgroup of people, which could explain why the 99th percentile threshold for hs–troponin I was lower than previously reported from other cohorts,” he added.

Though there may be concern that such a healthy subgroup would mean the sample is enriched with younger people, whereas the typical person having their troponin measured would be older, Dr. McEvoy pointed out that there were more than 400 people older than 60 years in the healthy group. “This is probably the biggest cohort of super healthy older U.S. adults ever sampled in this regard,” he commented.

Dr. McEvoy said that the overall results from the study suggested that different thresholds might need to be considered for troponin I. “This could lead to threshold levels used to diagnose myocardial injury being cut in the population as a whole.”

But, he said a more important message was the need for age-specific thresholds.

“We found that troponin levels track with age. Even in individuals who age in a very healthy way, their troponin levels are greater than in younger people. This is the first time this has been shown with such clear statistical significance,” Dr. McEvoy said. “We think this data provides a compelling case for the use of age-specific cut-offs.”

He explained that, if age-specific thresholds were used to diagnose myocardial injury, the cut point from the current data would be higher than it would be from current manufacturers’ recommendations in those older than 60 years, so fewer people in this age group would be labeled as having myocardial injury.

“Our results suggest that, at present, we are seeing more false positives in older people leading to more unnecessary tests.” Using age-specific cut off points will reduce the number of false positives in older people. Dr. McEvoy noted a similar change in the way D-Dimer blood tests have been used to diagnose pulmonary embolism in recent years.

Using age-specific cut-offs for hs-troponin would also reduce the number of false negatives in younger people, Dr. McEvoy added.
 

Further studies needed?

In an accompanying editorial, Cian McCarthy, MB, Austin Vyas, and James Januzzi, MD, of Massachusetts General Hospital, Boston, note that though there are substantial shortcomings to using the 99th percentile upper reference limit of troponins for the diagnosis of cardiac injury, they believe this measurement should persist as a central component of the MI diagnostic criteria, with the caveat that this is only one component of the definition of MI and does not alone define it.

“Cardiac troponin measurement is one of the most commonly utilized blood tests in hospital-based settings, and yet important questions remain about what exactly is a normal value for this test,” the editorialists comment.

They say this new study emphasizes the importance of age and sex in interpretation of troponin levels.

“Although the use of such cut-offs may further complicate MI diagnostic criteria, this is superseded by the benefits of improved diagnostic accuracy in younger and female patients (a critical health equity step) while reducing MI overdiagnosis in the elderly, with the resultant harms that might follow, adverse psychosocial patient impact, and unnecessary health care expenditure from cascade testing,” they write.

They conclude that further large studies derived from healthy cohorts should be conducted to answer this question in a definitive fashion.

A version of this article first appeared on Medscape.com.

Cardiovascular disease deaths were significantly more common on days of high pollution and for the following 2 days, compared with other days, based on data from nearly 88,000 deaths over a 5-year period.

Previous research has shown the harmful effect of air pollution on human health in highly polluted areas, but Eastern Poland, a region with so-called “Polish smog” has exceptionally high levels of pollution. However, the specific impact of Polish smog, caused primarily by burning coal, on cardiovascular disease (CVD) mortality has not been well studied, said Michal Swieczkowski, MD, of the Medical University of Bialystok (Poland) in a presentation at the annual congress of the European Association of Preventive Cardiology.

Ja&#039;Crispy/iStock/Getty Images Plus

Dr. Swieczkowski and colleagues reviewed all-cause deaths from five main cities in Eastern Poland during 2016-2020 for associations with pollution levels and days when deaths occurred. Mortality data were obtained from the Central Statistical Office. Air pollution concentrations for two types of particulate matter (PM2.5, PM10) and nitrogen oxide were collected from the Voivodeship Inspectorate for Environmental Protection. The main sources of the pollutants were road traffic and household heaters using coal or wood.

The final analysis included nearly 6 million person-years of follow-up. The researchers used a time-stratified case-crossover design. For each participant, the researchers compared levels of each pollutant on the day of the week a death occurred (such as a Wednesday) with pollutant levels on the same day of the week without any deaths in the same month (the remaining Wednesdays of that month). This design eliminated the potential confounding effects of participant characteristics, including other cardiovascular risk factors such as smoking and hyperlipidemia, and time trends. Essentially, participants “served as their own controls,” Dr. Swieczkowski said. The researchers conducted similar analyses for pollution levels 1 day and 2 days before a death occurred.

Overall, 87,990 deaths were identified during the study period; of these, 34,907 were from CVD, 9,688 from acute coronary syndromes, and 3,776 from ischemic stroke.

“Exposure to PM2.5 and PM10 was associated with increased mortality on the day of exposure, the next day, and up to 2 days after exposure,” said Dr. Swieczkowski.

Overall, an increase of 10 mcg/m³ in the three pollutants was significantly associated with increase in CVD mortality on the day of exposure to the increased pollution levels, with odds ratios of 1.034, 1.033, and 1.083 for PM2.5, PM10, and NO₂, respectively (all P < .001).

The risks of dying from CVD were similar 1 and 2 days after the polluted day.

An increase in PM levels, but not NO₂, was significantly associated with acute coronary syndrome (ACS) on the day of exposure to increased pollutants (ORs, 1.029 for PM2.5 [P = .002] and 1.015 [P = .049] for PM10). Both ischemic stroke and ACS mortality were significantly higher at 1 day after exposure, compared with other days. Ischemic stroke was associated with increases in PM2.5 and PM10, while ACS was associated with increases in PM2.5, PM10, and NO₂.

When stratified by gender, the effects were more noticeable in women, Dr. Swieczkowski said. “Exposure to both types of particulate caused increased mortality due to acute coronary syndrome as well as ischemic stroke.” Among men, only death from acute coronary syndrome was significantly associated with exposure to increased particulate matter.

In a head-to-head comparison, women were more vulnerable to air pollution by up to 2.5%, he added.

When stratified by age, the effects of all three pollutants were associated with increased risk of death from ischemic stroke and ACS in participants older than 65 years. For those aged 65 years and younger, the only significant association was between ACS-associated mortality and ischemic stroke.

The results suggest “a special need for developing calculators to estimate the risk of CVD incidence depending on the place of residence that could be used for everyday practice,” said Dr. Swieczkowski. “Systemic changes should become a priority for policy makers, and, simultaneously, we as physicians should educate and protect our patients, especially those with high risk of cardiovascular disease,” he said.
 

Gender differences rooted in anatomy

When asked for an explanation of the difference in the impact of pollution on mortality between men and women, Dr. Swieczkowski explained that women are likely more vulnerable because of differences in anatomy of the pharynx and larynx, and breathing patterns. Previous studies have shown that air pollution causes more oxidative stress in women. Also, in the current study, the mean age of the women was 8 to 9 years older, he said.

The study design was an “elegant way to take away the impact of other cardiovascular risk factors,” noted session moderator Maryam Kavousi, MD, of Erasmus University Medical Center, Rotterdam, the Netherlands.

The study was supported by the National Science Centre, Poland. The researchers had no financial conflicts to disclose.
 

Cardiovascular disease deaths were significantly more common on days of high pollution and for the following 2 days, compared with other days, based on data from nearly 88,000 deaths over a 5-year period.

Previous research has shown the harmful effect of air pollution on human health in highly polluted areas, but Eastern Poland, a region with so-called “Polish smog” has exceptionally high levels of pollution. However, the specific impact of Polish smog, caused primarily by burning coal, on cardiovascular disease (CVD) mortality has not been well studied, said Michal Swieczkowski, MD, of the Medical University of Bialystok (Poland) in a presentation at the annual congress of the European Association of Preventive Cardiology.

Ja&#039;Crispy/iStock/Getty Images Plus

Dr. Swieczkowski and colleagues reviewed all-cause deaths from five main cities in Eastern Poland during 2016-2020 for associations with pollution levels and days when deaths occurred. Mortality data were obtained from the Central Statistical Office. Air pollution concentrations for two types of particulate matter (PM2.5, PM10) and nitrogen oxide were collected from the Voivodeship Inspectorate for Environmental Protection. The main sources of the pollutants were road traffic and household heaters using coal or wood.

The final analysis included nearly 6 million person-years of follow-up. The researchers used a time-stratified case-crossover design. For each participant, the researchers compared levels of each pollutant on the day of the week a death occurred (such as a Wednesday) with pollutant levels on the same day of the week without any deaths in the same month (the remaining Wednesdays of that month). This design eliminated the potential confounding effects of participant characteristics, including other cardiovascular risk factors such as smoking and hyperlipidemia, and time trends. Essentially, participants “served as their own controls,” Dr. Swieczkowski said. The researchers conducted similar analyses for pollution levels 1 day and 2 days before a death occurred.

Overall, 87,990 deaths were identified during the study period; of these, 34,907 were from CVD, 9,688 from acute coronary syndromes, and 3,776 from ischemic stroke.

“Exposure to PM2.5 and PM10 was associated with increased mortality on the day of exposure, the next day, and up to 2 days after exposure,” said Dr. Swieczkowski.

Overall, an increase of 10 mcg/m³ in the three pollutants was significantly associated with increase in CVD mortality on the day of exposure to the increased pollution levels, with odds ratios of 1.034, 1.033, and 1.083 for PM2.5, PM10, and NO₂, respectively (all P < .001).

The risks of dying from CVD were similar 1 and 2 days after the polluted day.

An increase in PM levels, but not NO₂, was significantly associated with acute coronary syndrome (ACS) on the day of exposure to increased pollutants (ORs, 1.029 for PM2.5 [P = .002] and 1.015 [P = .049] for PM10). Both ischemic stroke and ACS mortality were significantly higher at 1 day after exposure, compared with other days. Ischemic stroke was associated with increases in PM2.5 and PM10, while ACS was associated with increases in PM2.5, PM10, and NO₂.

When stratified by gender, the effects were more noticeable in women, Dr. Swieczkowski said. “Exposure to both types of particulate caused increased mortality due to acute coronary syndrome as well as ischemic stroke.” Among men, only death from acute coronary syndrome was significantly associated with exposure to increased particulate matter.

In a head-to-head comparison, women were more vulnerable to air pollution by up to 2.5%, he added.

When stratified by age, the effects of all three pollutants were associated with increased risk of death from ischemic stroke and ACS in participants older than 65 years. For those aged 65 years and younger, the only significant association was between ACS-associated mortality and ischemic stroke.

The results suggest “a special need for developing calculators to estimate the risk of CVD incidence depending on the place of residence that could be used for everyday practice,” said Dr. Swieczkowski. “Systemic changes should become a priority for policy makers, and, simultaneously, we as physicians should educate and protect our patients, especially those with high risk of cardiovascular disease,” he said.
 

Gender differences rooted in anatomy

When asked for an explanation of the difference in the impact of pollution on mortality between men and women, Dr. Swieczkowski explained that women are likely more vulnerable because of differences in anatomy of the pharynx and larynx, and breathing patterns. Previous studies have shown that air pollution causes more oxidative stress in women. Also, in the current study, the mean age of the women was 8 to 9 years older, he said.

The study design was an “elegant way to take away the impact of other cardiovascular risk factors,” noted session moderator Maryam Kavousi, MD, of Erasmus University Medical Center, Rotterdam, the Netherlands.

The study was supported by the National Science Centre, Poland. The researchers had no financial conflicts to disclose.
 

Cardiovascular disease deaths were significantly more common on days of high pollution and for the following 2 days, compared with other days, based on data from nearly 88,000 deaths over a 5-year period.

Previous research has shown the harmful effect of air pollution on human health in highly polluted areas, but Eastern Poland, a region with so-called “Polish smog” has exceptionally high levels of pollution. However, the specific impact of Polish smog, caused primarily by burning coal, on cardiovascular disease (CVD) mortality has not been well studied, said Michal Swieczkowski, MD, of the Medical University of Bialystok (Poland) in a presentation at the annual congress of the European Association of Preventive Cardiology.

Ja&#039;Crispy/iStock/Getty Images Plus

Dr. Swieczkowski and colleagues reviewed all-cause deaths from five main cities in Eastern Poland during 2016-2020 for associations with pollution levels and days when deaths occurred. Mortality data were obtained from the Central Statistical Office. Air pollution concentrations for two types of particulate matter (PM2.5, PM10) and nitrogen oxide were collected from the Voivodeship Inspectorate for Environmental Protection. The main sources of the pollutants were road traffic and household heaters using coal or wood.

The final analysis included nearly 6 million person-years of follow-up. The researchers used a time-stratified case-crossover design. For each participant, the researchers compared levels of each pollutant on the day of the week a death occurred (such as a Wednesday) with pollutant levels on the same day of the week without any deaths in the same month (the remaining Wednesdays of that month). This design eliminated the potential confounding effects of participant characteristics, including other cardiovascular risk factors such as smoking and hyperlipidemia, and time trends. Essentially, participants “served as their own controls,” Dr. Swieczkowski said. The researchers conducted similar analyses for pollution levels 1 day and 2 days before a death occurred.

Overall, 87,990 deaths were identified during the study period; of these, 34,907 were from CVD, 9,688 from acute coronary syndromes, and 3,776 from ischemic stroke.

“Exposure to PM2.5 and PM10 was associated with increased mortality on the day of exposure, the next day, and up to 2 days after exposure,” said Dr. Swieczkowski.

Overall, an increase of 10 mcg/m³ in the three pollutants was significantly associated with increase in CVD mortality on the day of exposure to the increased pollution levels, with odds ratios of 1.034, 1.033, and 1.083 for PM2.5, PM10, and NO₂, respectively (all P < .001).

The risks of dying from CVD were similar 1 and 2 days after the polluted day.

An increase in PM levels, but not NO₂, was significantly associated with acute coronary syndrome (ACS) on the day of exposure to increased pollutants (ORs, 1.029 for PM2.5 [P = .002] and 1.015 [P = .049] for PM10). Both ischemic stroke and ACS mortality were significantly higher at 1 day after exposure, compared with other days. Ischemic stroke was associated with increases in PM2.5 and PM10, while ACS was associated with increases in PM2.5, PM10, and NO₂.

When stratified by gender, the effects were more noticeable in women, Dr. Swieczkowski said. “Exposure to both types of particulate caused increased mortality due to acute coronary syndrome as well as ischemic stroke.” Among men, only death from acute coronary syndrome was significantly associated with exposure to increased particulate matter.

In a head-to-head comparison, women were more vulnerable to air pollution by up to 2.5%, he added.

When stratified by age, the effects of all three pollutants were associated with increased risk of death from ischemic stroke and ACS in participants older than 65 years. For those aged 65 years and younger, the only significant association was between ACS-associated mortality and ischemic stroke.

The results suggest “a special need for developing calculators to estimate the risk of CVD incidence depending on the place of residence that could be used for everyday practice,” said Dr. Swieczkowski. “Systemic changes should become a priority for policy makers, and, simultaneously, we as physicians should educate and protect our patients, especially those with high risk of cardiovascular disease,” he said.
 

Gender differences rooted in anatomy

When asked for an explanation of the difference in the impact of pollution on mortality between men and women, Dr. Swieczkowski explained that women are likely more vulnerable because of differences in anatomy of the pharynx and larynx, and breathing patterns. Previous studies have shown that air pollution causes more oxidative stress in women. Also, in the current study, the mean age of the women was 8 to 9 years older, he said.

The study design was an “elegant way to take away the impact of other cardiovascular risk factors,” noted session moderator Maryam Kavousi, MD, of Erasmus University Medical Center, Rotterdam, the Netherlands.

The study was supported by the National Science Centre, Poland. The researchers had no financial conflicts to disclose.
 

The presence of antiphospholipid antibodies is associated with an increased risk for future cardiovascular events, according to a new study.

The findings point to possible new approaches to risk stratification and the potential for new therapeutic targets in heart disease.

“In this study of the general population, we found that two antiphospholipid antibodies were associated with an increased risk of having a serious cardiovascular event over a follow-up of 8 years,” coauthor Jason Knight, MD, University of Michigan, Ann Arbor, said in an interview.

“If confirmed in further studies, these findings could be used to identify a subgroup of patients who need more careful monitoring and more aggressive risk-factor modification, and if the increased risk linked to these antibodies is high enough, it may also justify preemptive treatments such as the anticoagulants that are routinely used in antiphospholipid syndrome,” Dr. Knight said.

“The long-term vision is that we may identify some people in the general population who would benefit from treating the immune system for the prevention and treatment of cardiovascular disease instead of, or in addition to, using typical cardiovascular medications,” he added.

The study was published online in JAMA Network Open.

Individuals with autoimmune and inflammatory diseases have a greater risk for cardiovascular events than expected based on traditional cardiovascular risk factors, with mechanisms proposed to explain this risk including inflammation-mediated disruption of vascular integrity and activation of platelets and coagulation pathways, the authors explained. However, the role of autoantibodies remains unclear.

They noted that antiphospholipid antibodies can activate endothelial cells, platelets, and neutrophils, and some patients with persistently circulating antiphospholipid antibodies can develop antiphospholipid syndrome – an acquired thromboinflammatory disease characterized by arterial, venous, and microvascular thrombotic events and obstetric complications.

Cross-sectional studies have shown that antiphospholipid antibodies are acutely present in up to 17.4% of patients with stroke or transient ischemic attack, and small cohort studies have suggested that such antibodies may be present in 1%-12% of seemingly healthy individuals. However, the impact of sex, race, and ethnicity on the prevalence of antiphospholipid antibodies and their association with atherosclerotic cardiovascular disease is not known.

The researchers conducted the current study to look at the association between antiphospholipid antibodies and future risk for atherosclerotic cardiovascular events.

They analyzed data from 2,427 participants in the population-based Dallas Heart Study who had no history of atherosclerotic cardiovascular disease or autoimmune diseases requiring immunosuppressive medications at the time of blood sampling at study entry in 2007-2009.

Eight different types of antiphospholipid antibodies were measured, and data on cardiovascular events over the next 8 years was recorded.

Results showed that 14.5% of the cohort tested positive for one of these antiphospholipid antibodies at the start of the study, with approximately one-third of those detected at a moderate or high titer.

The researchers also found that the IgA isotypes of two antiphospholipid antibodies – anticardiolipin and anti-beta-2 glycoprotein – were associated with future atherosclerotic cardiovascular events.

After adjustment for other known risk factors, individuals testing positive for the IgA isotype of anticardiolipin had an almost five times increased risk (hazard ratio, 4.92) of the primary endpoint (myocardial infarction, stroke, coronary revascularization, or cardiovascular death); while those testing positive for anti–beta₂-glycoprotein had an almost three times increased risk (HR, 2.91).

Furthermore, there was what appeared to be a dose effect. People with the highest levels of these antibodies also had the highest risk for cardiovascular events, with up to an almost 10-fold increased risk with the higher level of anticardiolipin. 

Dr. Knight said that more research into the IgA isotypes of these antiphospholipid antibodies is needed.

“Most of the mechanistic work in the antiphospholipid syndrome field has focused on IgG antiphospholipid antibodies. While we commonly find these IgA antibodies in patients with APS, the extent to which they contribute to disease has not been firmly established,” he said. “The fact that IgA was the primary hit in our unbiased screen suggests that there is more to the story and we need to better understand the implications of having these antibodies in circulation, and what specific problems they may be causing.”

Noting that antiphospholipid antibodies can form transiently after certain situations, such as infections, Dr. Knight said that further studies were needed with repeat blood testing to detect the chronic presence of the antibodies.

He added that information of venous thromboses was not available in this study and “perhaps some of the other antibodies might have stood out if we were able to analyze for different outcomes.”

This study was supported by a Pfizer Aspire Award. Dr. Knight reported receiving research funding and consulting fees from Jazz Pharmaceuticals outside the submitted work.

A version of this article first appeared on Medscape.com.

The presence of antiphospholipid antibodies is associated with an increased risk for future cardiovascular events, according to a new study.

The findings point to possible new approaches to risk stratification and the potential for new therapeutic targets in heart disease.

“In this study of the general population, we found that two antiphospholipid antibodies were associated with an increased risk of having a serious cardiovascular event over a follow-up of 8 years,” coauthor Jason Knight, MD, University of Michigan, Ann Arbor, said in an interview.

“If confirmed in further studies, these findings could be used to identify a subgroup of patients who need more careful monitoring and more aggressive risk-factor modification, and if the increased risk linked to these antibodies is high enough, it may also justify preemptive treatments such as the anticoagulants that are routinely used in antiphospholipid syndrome,” Dr. Knight said.

“The long-term vision is that we may identify some people in the general population who would benefit from treating the immune system for the prevention and treatment of cardiovascular disease instead of, or in addition to, using typical cardiovascular medications,” he added.

The study was published online in JAMA Network Open.

Individuals with autoimmune and inflammatory diseases have a greater risk for cardiovascular events than expected based on traditional cardiovascular risk factors, with mechanisms proposed to explain this risk including inflammation-mediated disruption of vascular integrity and activation of platelets and coagulation pathways, the authors explained. However, the role of autoantibodies remains unclear.

They noted that antiphospholipid antibodies can activate endothelial cells, platelets, and neutrophils, and some patients with persistently circulating antiphospholipid antibodies can develop antiphospholipid syndrome – an acquired thromboinflammatory disease characterized by arterial, venous, and microvascular thrombotic events and obstetric complications.

Cross-sectional studies have shown that antiphospholipid antibodies are acutely present in up to 17.4% of patients with stroke or transient ischemic attack, and small cohort studies have suggested that such antibodies may be present in 1%-12% of seemingly healthy individuals. However, the impact of sex, race, and ethnicity on the prevalence of antiphospholipid antibodies and their association with atherosclerotic cardiovascular disease is not known.

The researchers conducted the current study to look at the association between antiphospholipid antibodies and future risk for atherosclerotic cardiovascular events.

They analyzed data from 2,427 participants in the population-based Dallas Heart Study who had no history of atherosclerotic cardiovascular disease or autoimmune diseases requiring immunosuppressive medications at the time of blood sampling at study entry in 2007-2009.

Eight different types of antiphospholipid antibodies were measured, and data on cardiovascular events over the next 8 years was recorded.

Results showed that 14.5% of the cohort tested positive for one of these antiphospholipid antibodies at the start of the study, with approximately one-third of those detected at a moderate or high titer.

The researchers also found that the IgA isotypes of two antiphospholipid antibodies – anticardiolipin and anti-beta-2 glycoprotein – were associated with future atherosclerotic cardiovascular events.

After adjustment for other known risk factors, individuals testing positive for the IgA isotype of anticardiolipin had an almost five times increased risk (hazard ratio, 4.92) of the primary endpoint (myocardial infarction, stroke, coronary revascularization, or cardiovascular death); while those testing positive for anti–beta₂-glycoprotein had an almost three times increased risk (HR, 2.91).

Furthermore, there was what appeared to be a dose effect. People with the highest levels of these antibodies also had the highest risk for cardiovascular events, with up to an almost 10-fold increased risk with the higher level of anticardiolipin. 

Dr. Knight said that more research into the IgA isotypes of these antiphospholipid antibodies is needed.

“Most of the mechanistic work in the antiphospholipid syndrome field has focused on IgG antiphospholipid antibodies. While we commonly find these IgA antibodies in patients with APS, the extent to which they contribute to disease has not been firmly established,” he said. “The fact that IgA was the primary hit in our unbiased screen suggests that there is more to the story and we need to better understand the implications of having these antibodies in circulation, and what specific problems they may be causing.”

Noting that antiphospholipid antibodies can form transiently after certain situations, such as infections, Dr. Knight said that further studies were needed with repeat blood testing to detect the chronic presence of the antibodies.

He added that information of venous thromboses was not available in this study and “perhaps some of the other antibodies might have stood out if we were able to analyze for different outcomes.”

This study was supported by a Pfizer Aspire Award. Dr. Knight reported receiving research funding and consulting fees from Jazz Pharmaceuticals outside the submitted work.

A version of this article first appeared on Medscape.com.

The presence of antiphospholipid antibodies is associated with an increased risk for future cardiovascular events, according to a new study.

The findings point to possible new approaches to risk stratification and the potential for new therapeutic targets in heart disease.

“In this study of the general population, we found that two antiphospholipid antibodies were associated with an increased risk of having a serious cardiovascular event over a follow-up of 8 years,” coauthor Jason Knight, MD, University of Michigan, Ann Arbor, said in an interview.

“If confirmed in further studies, these findings could be used to identify a subgroup of patients who need more careful monitoring and more aggressive risk-factor modification, and if the increased risk linked to these antibodies is high enough, it may also justify preemptive treatments such as the anticoagulants that are routinely used in antiphospholipid syndrome,” Dr. Knight said.

“The long-term vision is that we may identify some people in the general population who would benefit from treating the immune system for the prevention and treatment of cardiovascular disease instead of, or in addition to, using typical cardiovascular medications,” he added.

The study was published online in JAMA Network Open.

Individuals with autoimmune and inflammatory diseases have a greater risk for cardiovascular events than expected based on traditional cardiovascular risk factors, with mechanisms proposed to explain this risk including inflammation-mediated disruption of vascular integrity and activation of platelets and coagulation pathways, the authors explained. However, the role of autoantibodies remains unclear.

They noted that antiphospholipid antibodies can activate endothelial cells, platelets, and neutrophils, and some patients with persistently circulating antiphospholipid antibodies can develop antiphospholipid syndrome – an acquired thromboinflammatory disease characterized by arterial, venous, and microvascular thrombotic events and obstetric complications.

Cross-sectional studies have shown that antiphospholipid antibodies are acutely present in up to 17.4% of patients with stroke or transient ischemic attack, and small cohort studies have suggested that such antibodies may be present in 1%-12% of seemingly healthy individuals. However, the impact of sex, race, and ethnicity on the prevalence of antiphospholipid antibodies and their association with atherosclerotic cardiovascular disease is not known.

The researchers conducted the current study to look at the association between antiphospholipid antibodies and future risk for atherosclerotic cardiovascular events.

They analyzed data from 2,427 participants in the population-based Dallas Heart Study who had no history of atherosclerotic cardiovascular disease or autoimmune diseases requiring immunosuppressive medications at the time of blood sampling at study entry in 2007-2009.

Eight different types of antiphospholipid antibodies were measured, and data on cardiovascular events over the next 8 years was recorded.

Results showed that 14.5% of the cohort tested positive for one of these antiphospholipid antibodies at the start of the study, with approximately one-third of those detected at a moderate or high titer.

The researchers also found that the IgA isotypes of two antiphospholipid antibodies – anticardiolipin and anti-beta-2 glycoprotein – were associated with future atherosclerotic cardiovascular events.

After adjustment for other known risk factors, individuals testing positive for the IgA isotype of anticardiolipin had an almost five times increased risk (hazard ratio, 4.92) of the primary endpoint (myocardial infarction, stroke, coronary revascularization, or cardiovascular death); while those testing positive for anti–beta₂-glycoprotein had an almost three times increased risk (HR, 2.91).

Furthermore, there was what appeared to be a dose effect. People with the highest levels of these antibodies also had the highest risk for cardiovascular events, with up to an almost 10-fold increased risk with the higher level of anticardiolipin. 

Dr. Knight said that more research into the IgA isotypes of these antiphospholipid antibodies is needed.

“Most of the mechanistic work in the antiphospholipid syndrome field has focused on IgG antiphospholipid antibodies. While we commonly find these IgA antibodies in patients with APS, the extent to which they contribute to disease has not been firmly established,” he said. “The fact that IgA was the primary hit in our unbiased screen suggests that there is more to the story and we need to better understand the implications of having these antibodies in circulation, and what specific problems they may be causing.”

Noting that antiphospholipid antibodies can form transiently after certain situations, such as infections, Dr. Knight said that further studies were needed with repeat blood testing to detect the chronic presence of the antibodies.

He added that information of venous thromboses was not available in this study and “perhaps some of the other antibodies might have stood out if we were able to analyze for different outcomes.”

This study was supported by a Pfizer Aspire Award. Dr. Knight reported receiving research funding and consulting fees from Jazz Pharmaceuticals outside the submitted work.

A version of this article first appeared on Medscape.com.

In an analysis of randomized trials, the Mediterranean diet and low-fat diets were linked to reduced risks of all-cause mortality and nonfatal MI over 3 years in adults at increased risk for cardiovascular disease (CVD), while the Mediterranean diet also showed lower risk of stroke.

Five other popular diets appeared to have little or no benefit with regard to these outcomes.

“These findings with data presentations are extremely important for patients who are skeptical about the desirability of diet change,” wrote the authors, led by Giorgio Karam, a medical student at the University of Manitoba, Winnipeg.

The results were published online in The BMJ.

Dietary guidelines recommend various diets along with physical activity or other cointerventions for adults at increased CVD risk, but they are often based on low-certainty evidence from nonrandomized studies and on surrogate outcomes.

Several meta-analyses of randomized controlled trials with mortality and major CV outcomes have reported benefits of some dietary programs, but those studies did not use network meta-analysis to give absolute estimates and certainty of estimates for adults at intermediate and high risk, the authors noted.

For this study, Mr. Karam and colleagues conducted a comprehensive systematic review and network meta-analysis in which they compared the effects of seven popular structured diets on mortality and CVD events for adults with CVD or CVD risk factors.

The seven diet plans were the Mediterranean, low fat, very low fat, modified fat, combined low fat and low sodium, Ornish, and Pritikin diets. Data for the analysis came from 40 randomized controlled trials that involved 35,548 participants who were followed for an average of 3 years.

There was evidence of “moderate” certainty that the Mediterranean diet was superior to minimal intervention for all-cause mortality (odds ratio [OR], 0.72), CV mortality (OR, 0.55), stroke (OR, 0.65), and nonfatal MI (OR, 0.48).

On an absolute basis (per 1,000 over 5 years), the Mediterranean diet let to 17 fewer deaths from any cause, 13 fewer CV deaths, seven fewer strokes, and 17 fewer nonfatal MIs.

There was evidence of moderate certainty that a low-fat diet was superior to minimal intervention for prevention of all-cause mortality (OR, 0.84; nine fewer deaths per 1,000) and nonfatal MI (OR, 0.77; seven fewer deaths per 1,000). The low-fat diet had little to no benefit with regard to stroke reduction.

The Mediterranean diet was not “convincingly” superior to a low-fat diet for mortality or nonfatal MI, the authors noted.

The absolute effects for the Mediterranean and low-fat diets were more pronounced in adults at high CVD risk. With the Mediterranean diet, there were 36 fewer all-cause deaths and 39 fewer CV deaths per 1,000 over 5 years.

The five other dietary programs generally had “little or no benefit” compared with minimal intervention. The evidence was of low to moderate certainty.

The studies did not provide enough data to gauge the impact of the diets on angina, heart failure, peripheral vascular events, and atrial fibrillation.

The researchers say that strengths of their analysis include a comprehensive review and thorough literature search and a rigorous assessment of study bias. In addition, the researchers adhered to recognized GRADE methods for assessing the certainty of estimates.

Limitations of their work include not being able to measure adherence to dietary programs and the possibility that some of the benefits may have been due to other factors, such as drug treatment and support for quitting smoking.

The study had no specific funding. The authors have disclosed no relevant financial relationships.

A version of this article originally appeared on Medscape.com.

In an analysis of randomized trials, the Mediterranean diet and low-fat diets were linked to reduced risks of all-cause mortality and nonfatal MI over 3 years in adults at increased risk for cardiovascular disease (CVD), while the Mediterranean diet also showed lower risk of stroke.

Five other popular diets appeared to have little or no benefit with regard to these outcomes.

“These findings with data presentations are extremely important for patients who are skeptical about the desirability of diet change,” wrote the authors, led by Giorgio Karam, a medical student at the University of Manitoba, Winnipeg.

The results were published online in The BMJ.

Dietary guidelines recommend various diets along with physical activity or other cointerventions for adults at increased CVD risk, but they are often based on low-certainty evidence from nonrandomized studies and on surrogate outcomes.

Several meta-analyses of randomized controlled trials with mortality and major CV outcomes have reported benefits of some dietary programs, but those studies did not use network meta-analysis to give absolute estimates and certainty of estimates for adults at intermediate and high risk, the authors noted.

For this study, Mr. Karam and colleagues conducted a comprehensive systematic review and network meta-analysis in which they compared the effects of seven popular structured diets on mortality and CVD events for adults with CVD or CVD risk factors.

The seven diet plans were the Mediterranean, low fat, very low fat, modified fat, combined low fat and low sodium, Ornish, and Pritikin diets. Data for the analysis came from 40 randomized controlled trials that involved 35,548 participants who were followed for an average of 3 years.

There was evidence of “moderate” certainty that the Mediterranean diet was superior to minimal intervention for all-cause mortality (odds ratio [OR], 0.72), CV mortality (OR, 0.55), stroke (OR, 0.65), and nonfatal MI (OR, 0.48).

On an absolute basis (per 1,000 over 5 years), the Mediterranean diet let to 17 fewer deaths from any cause, 13 fewer CV deaths, seven fewer strokes, and 17 fewer nonfatal MIs.

There was evidence of moderate certainty that a low-fat diet was superior to minimal intervention for prevention of all-cause mortality (OR, 0.84; nine fewer deaths per 1,000) and nonfatal MI (OR, 0.77; seven fewer deaths per 1,000). The low-fat diet had little to no benefit with regard to stroke reduction.

The Mediterranean diet was not “convincingly” superior to a low-fat diet for mortality or nonfatal MI, the authors noted.

The absolute effects for the Mediterranean and low-fat diets were more pronounced in adults at high CVD risk. With the Mediterranean diet, there were 36 fewer all-cause deaths and 39 fewer CV deaths per 1,000 over 5 years.

The five other dietary programs generally had “little or no benefit” compared with minimal intervention. The evidence was of low to moderate certainty.

The studies did not provide enough data to gauge the impact of the diets on angina, heart failure, peripheral vascular events, and atrial fibrillation.

The researchers say that strengths of their analysis include a comprehensive review and thorough literature search and a rigorous assessment of study bias. In addition, the researchers adhered to recognized GRADE methods for assessing the certainty of estimates.

Limitations of their work include not being able to measure adherence to dietary programs and the possibility that some of the benefits may have been due to other factors, such as drug treatment and support for quitting smoking.

The study had no specific funding. The authors have disclosed no relevant financial relationships.

A version of this article originally appeared on Medscape.com.

In an analysis of randomized trials, the Mediterranean diet and low-fat diets were linked to reduced risks of all-cause mortality and nonfatal MI over 3 years in adults at increased risk for cardiovascular disease (CVD), while the Mediterranean diet also showed lower risk of stroke.

Five other popular diets appeared to have little or no benefit with regard to these outcomes.

“These findings with data presentations are extremely important for patients who are skeptical about the desirability of diet change,” wrote the authors, led by Giorgio Karam, a medical student at the University of Manitoba, Winnipeg.

The results were published online in The BMJ.

Dietary guidelines recommend various diets along with physical activity or other cointerventions for adults at increased CVD risk, but they are often based on low-certainty evidence from nonrandomized studies and on surrogate outcomes.

Several meta-analyses of randomized controlled trials with mortality and major CV outcomes have reported benefits of some dietary programs, but those studies did not use network meta-analysis to give absolute estimates and certainty of estimates for adults at intermediate and high risk, the authors noted.

For this study, Mr. Karam and colleagues conducted a comprehensive systematic review and network meta-analysis in which they compared the effects of seven popular structured diets on mortality and CVD events for adults with CVD or CVD risk factors.

The seven diet plans were the Mediterranean, low fat, very low fat, modified fat, combined low fat and low sodium, Ornish, and Pritikin diets. Data for the analysis came from 40 randomized controlled trials that involved 35,548 participants who were followed for an average of 3 years.

There was evidence of “moderate” certainty that the Mediterranean diet was superior to minimal intervention for all-cause mortality (odds ratio [OR], 0.72), CV mortality (OR, 0.55), stroke (OR, 0.65), and nonfatal MI (OR, 0.48).

On an absolute basis (per 1,000 over 5 years), the Mediterranean diet let to 17 fewer deaths from any cause, 13 fewer CV deaths, seven fewer strokes, and 17 fewer nonfatal MIs.

There was evidence of moderate certainty that a low-fat diet was superior to minimal intervention for prevention of all-cause mortality (OR, 0.84; nine fewer deaths per 1,000) and nonfatal MI (OR, 0.77; seven fewer deaths per 1,000). The low-fat diet had little to no benefit with regard to stroke reduction.

The Mediterranean diet was not “convincingly” superior to a low-fat diet for mortality or nonfatal MI, the authors noted.

The absolute effects for the Mediterranean and low-fat diets were more pronounced in adults at high CVD risk. With the Mediterranean diet, there were 36 fewer all-cause deaths and 39 fewer CV deaths per 1,000 over 5 years.

The five other dietary programs generally had “little or no benefit” compared with minimal intervention. The evidence was of low to moderate certainty.

The studies did not provide enough data to gauge the impact of the diets on angina, heart failure, peripheral vascular events, and atrial fibrillation.

The researchers say that strengths of their analysis include a comprehensive review and thorough literature search and a rigorous assessment of study bias. In addition, the researchers adhered to recognized GRADE methods for assessing the certainty of estimates.

Limitations of their work include not being able to measure adherence to dietary programs and the possibility that some of the benefits may have been due to other factors, such as drug treatment and support for quitting smoking.

The study had no specific funding. The authors have disclosed no relevant financial relationships.

A version of this article originally appeared on Medscape.com.

About half of middle-aged adults in the community without cardiovascular (CV) symptoms have coronary atherosclerosis by CT angiography (CTA) that puts them at substantial risk for myocardial infarction (MI), suggests a prospective cohort study.

The 10% of participants who had subclinical disease considered obstructive at CTA showed a ninefold increased risk for MI over several years. Obstructive disease seemed to elevate risk more than subclinical disease that wasn’t obstructive but still considered extensive within the coronary arteries.

The findings, based on a Copenhagen General Population Study cohort, are new for CTA but consistent with research based on coronary artery calcium (CAC) scores and other ways to assess CV risk, say researchers.

Although all participants underwent CTA, such imaging isn’t used in the general population for atherosclerosis screening. But the findings may have implications for “opportunistic screening” for subclinical coronary disease at CTA conducted for other reasons, notes the study’s report, published online in the Annals of Internal Medicine.

“Identification of luminal obstructive or extensive subclinical coronary atherosclerosis” could potentially provide “clinically relevant, incremental risk assessment” in nonischemic patients who undergo cardiac CT or electrocardiogram-gated chest CT before procedures such as arrhythmia ablation or valve repair, it states.

Such patients found with subclinical coronary atherosclerosis might potentially “benefit from referral to intensified cardiovascular primary prevention therapy,” write the authors, led by Andreas Fuchs, MD, PhD, Copenhagen University Hospital-Rigshospitalet.

The group acknowledges the findings may not entirely apply to a non-Danish population.


 

A screening role for CTA?

Whether CTA has a role to play in adults without symptoms “is a big, open question in the field right now,” observed Ron Blankstein, MD, not associated with the current analysis, for this news organization.

Brigham and Women&#039;s Hospital

Most population studies of CV risk prediction, such as MESA, have looked at CAC scores, not CTA, and have shown that “the more plaque individuals have, the higher the risk.” The current findings are similar but novel in coming from coronary CTA in a large asymptomatic community population, said Dr. Blankstein, who is director of cardiac CT at Brigham and Women’s Hospital, Boston.

“It’s possible that patients who have obstructive plaque in general tend to have a larger amount of plaque as well,” he said. So, while the study suggests that “the more plaque individuals have, the worse their overall risk,” it also shows that the risk “is enhanced even more if they have obstructive disease.”

The Danish cohort analysis “provides a unique opportunity to study the contemporary natural history of coronary artery disease in the absence of intervention,” notes an accompanying editorial.

For example, both patients and clinicians were blinded to CTA results, and CV preventive therapies weren’t common, observe Michael McDermott, MBChB, and David E. Newby, DM, PhD, of the BHF Centre for Cardiovascular Science, University of Edinburgh.

The analysis suggests that subclinical coronary disease that is obstructive predicts MI risk more strongly than extensive coronary disease, they note, and may be present in two-thirds of MI patients. “This contrasts with symptomatic populations, where nonobstructive disease accounts for most future myocardial infarctions, presumably from plaque rupture.”

It also points to “strong associations between nonobstructive extensive disease and adverse plaque characteristics,” write Dr. McDermott and Dr. Newby. “This underscores the major importance of plaque burden” for the prediction of coronary events.
 

Graded risk

The analysis included 9,533 persons aged 40 and older without known ischemic heart disease or symptoms with available CTA assessments.

Obstructive disease, defined as presence of a luminal stenosis of at least 50%, was seen in 10% and nonobstructive disease in 36% of the total cohort, the report states.

Disease occupying more than one-third of the coronary tree was considered extensive and less than one-third of the coronaries nonextensive, occurring in 10.5% and 35.8% of the cohort, respectively.

There were 71 MIs and 193 deaths over a median of 3.5 years. The adjusted relative risk for MI, compared with those without coronary atherosclerosis, was:

• 7.65 (95% confidence interval, 3.53-16.57) overall in patients with extensive disease.
• 8.28 (95% CI, 3.75-18.32) in those with obstructive but nonextensive disease.
• 9.19 (95% CI, 4.49-18.82) overall in those with obstructive disease.
• 12.48 (95% CI, 5.50-28.12) in those with or obstructive and extensive disease.

The adjusted RR for the composite of death or MI was also elevated in persons with extensive disease:

• 2.70 (95% CI, 1.72-4.25) in those with extensive but nonobstructive disease.
• 3.15 (95% CI, 2.05-4.83) in those with extensive and obstructive disease.

“It’s one thing to show that the more plaque, the higher the risk,” Dr. Blankstein said. But “does the information ultimately lead to better outcomes? Do patients have fewer MIs or fewer deaths?” Several ongoing randomized trials are exploring these questions.

They include DANE-HEART (Computed Tomography Coronary Angiography for Primary Prevention), projected to enroll about 6,000 participants from the Copenhagen General Population Study cohort who have at least one CV risk factor, and SCOT-HEART 2 (second Computed Tomography Coronary Angiography for the Prevention of Myocardial Infarction), enrolling a similar cohort in Scotland.

The study was supported by grants from AP Møller og Hustru Chastine Mc-Kinney Møllers Fond, the Research Council of Rigshospitalet, and Danish Heart Foundation. Dr. Fuchs reports no relevant financial relationships. Disclosures for the other authors can be found here. Dr. Blankstein recently disclosed serving as a consultant to Amgen, Caristo Diagnostics, Novartis, and Silence Therapeutics. Disclosures for Dr. McDermott and Dr. Newby, who are SCOT-HEART 2 investigators, can be found here.

A version of this article originally appeared on Medscape.com.

About half of middle-aged adults in the community without cardiovascular (CV) symptoms have coronary atherosclerosis by CT angiography (CTA) that puts them at substantial risk for myocardial infarction (MI), suggests a prospective cohort study.

The 10% of participants who had subclinical disease considered obstructive at CTA showed a ninefold increased risk for MI over several years. Obstructive disease seemed to elevate risk more than subclinical disease that wasn’t obstructive but still considered extensive within the coronary arteries.

The findings, based on a Copenhagen General Population Study cohort, are new for CTA but consistent with research based on coronary artery calcium (CAC) scores and other ways to assess CV risk, say researchers.

Although all participants underwent CTA, such imaging isn’t used in the general population for atherosclerosis screening. But the findings may have implications for “opportunistic screening” for subclinical coronary disease at CTA conducted for other reasons, notes the study’s report, published online in the Annals of Internal Medicine.

“Identification of luminal obstructive or extensive subclinical coronary atherosclerosis” could potentially provide “clinically relevant, incremental risk assessment” in nonischemic patients who undergo cardiac CT or electrocardiogram-gated chest CT before procedures such as arrhythmia ablation or valve repair, it states.

Such patients found with subclinical coronary atherosclerosis might potentially “benefit from referral to intensified cardiovascular primary prevention therapy,” write the authors, led by Andreas Fuchs, MD, PhD, Copenhagen University Hospital-Rigshospitalet.

The group acknowledges the findings may not entirely apply to a non-Danish population.


 

A screening role for CTA?

Whether CTA has a role to play in adults without symptoms “is a big, open question in the field right now,” observed Ron Blankstein, MD, not associated with the current analysis, for this news organization.

Brigham and Women&#039;s Hospital

Most population studies of CV risk prediction, such as MESA, have looked at CAC scores, not CTA, and have shown that “the more plaque individuals have, the higher the risk.” The current findings are similar but novel in coming from coronary CTA in a large asymptomatic community population, said Dr. Blankstein, who is director of cardiac CT at Brigham and Women’s Hospital, Boston.

“It’s possible that patients who have obstructive plaque in general tend to have a larger amount of plaque as well,” he said. So, while the study suggests that “the more plaque individuals have, the worse their overall risk,” it also shows that the risk “is enhanced even more if they have obstructive disease.”

The Danish cohort analysis “provides a unique opportunity to study the contemporary natural history of coronary artery disease in the absence of intervention,” notes an accompanying editorial.

For example, both patients and clinicians were blinded to CTA results, and CV preventive therapies weren’t common, observe Michael McDermott, MBChB, and David E. Newby, DM, PhD, of the BHF Centre for Cardiovascular Science, University of Edinburgh.

The analysis suggests that subclinical coronary disease that is obstructive predicts MI risk more strongly than extensive coronary disease, they note, and may be present in two-thirds of MI patients. “This contrasts with symptomatic populations, where nonobstructive disease accounts for most future myocardial infarctions, presumably from plaque rupture.”

It also points to “strong associations between nonobstructive extensive disease and adverse plaque characteristics,” write Dr. McDermott and Dr. Newby. “This underscores the major importance of plaque burden” for the prediction of coronary events.
 

Graded risk

The analysis included 9,533 persons aged 40 and older without known ischemic heart disease or symptoms with available CTA assessments.

Obstructive disease, defined as presence of a luminal stenosis of at least 50%, was seen in 10% and nonobstructive disease in 36% of the total cohort, the report states.

Disease occupying more than one-third of the coronary tree was considered extensive and less than one-third of the coronaries nonextensive, occurring in 10.5% and 35.8% of the cohort, respectively.

There were 71 MIs and 193 deaths over a median of 3.5 years. The adjusted relative risk for MI, compared with those without coronary atherosclerosis, was:

• 7.65 (95% confidence interval, 3.53-16.57) overall in patients with extensive disease.
• 8.28 (95% CI, 3.75-18.32) in those with obstructive but nonextensive disease.
• 9.19 (95% CI, 4.49-18.82) overall in those with obstructive disease.
• 12.48 (95% CI, 5.50-28.12) in those with or obstructive and extensive disease.

The adjusted RR for the composite of death or MI was also elevated in persons with extensive disease:

• 2.70 (95% CI, 1.72-4.25) in those with extensive but nonobstructive disease.
• 3.15 (95% CI, 2.05-4.83) in those with extensive and obstructive disease.

“It’s one thing to show that the more plaque, the higher the risk,” Dr. Blankstein said. But “does the information ultimately lead to better outcomes? Do patients have fewer MIs or fewer deaths?” Several ongoing randomized trials are exploring these questions.

They include DANE-HEART (Computed Tomography Coronary Angiography for Primary Prevention), projected to enroll about 6,000 participants from the Copenhagen General Population Study cohort who have at least one CV risk factor, and SCOT-HEART 2 (second Computed Tomography Coronary Angiography for the Prevention of Myocardial Infarction), enrolling a similar cohort in Scotland.

The study was supported by grants from AP Møller og Hustru Chastine Mc-Kinney Møllers Fond, the Research Council of Rigshospitalet, and Danish Heart Foundation. Dr. Fuchs reports no relevant financial relationships. Disclosures for the other authors can be found here. Dr. Blankstein recently disclosed serving as a consultant to Amgen, Caristo Diagnostics, Novartis, and Silence Therapeutics. Disclosures for Dr. McDermott and Dr. Newby, who are SCOT-HEART 2 investigators, can be found here.

A version of this article originally appeared on Medscape.com.

About half of middle-aged adults in the community without cardiovascular (CV) symptoms have coronary atherosclerosis by CT angiography (CTA) that puts them at substantial risk for myocardial infarction (MI), suggests a prospective cohort study.

The 10% of participants who had subclinical disease considered obstructive at CTA showed a ninefold increased risk for MI over several years. Obstructive disease seemed to elevate risk more than subclinical disease that wasn’t obstructive but still considered extensive within the coronary arteries.

The findings, based on a Copenhagen General Population Study cohort, are new for CTA but consistent with research based on coronary artery calcium (CAC) scores and other ways to assess CV risk, say researchers.

Although all participants underwent CTA, such imaging isn’t used in the general population for atherosclerosis screening. But the findings may have implications for “opportunistic screening” for subclinical coronary disease at CTA conducted for other reasons, notes the study’s report, published online in the Annals of Internal Medicine.

“Identification of luminal obstructive or extensive subclinical coronary atherosclerosis” could potentially provide “clinically relevant, incremental risk assessment” in nonischemic patients who undergo cardiac CT or electrocardiogram-gated chest CT before procedures such as arrhythmia ablation or valve repair, it states.

Such patients found with subclinical coronary atherosclerosis might potentially “benefit from referral to intensified cardiovascular primary prevention therapy,” write the authors, led by Andreas Fuchs, MD, PhD, Copenhagen University Hospital-Rigshospitalet.

The group acknowledges the findings may not entirely apply to a non-Danish population.


 

A screening role for CTA?

Whether CTA has a role to play in adults without symptoms “is a big, open question in the field right now,” observed Ron Blankstein, MD, not associated with the current analysis, for this news organization.

Brigham and Women&#039;s Hospital

Most population studies of CV risk prediction, such as MESA, have looked at CAC scores, not CTA, and have shown that “the more plaque individuals have, the higher the risk.” The current findings are similar but novel in coming from coronary CTA in a large asymptomatic community population, said Dr. Blankstein, who is director of cardiac CT at Brigham and Women’s Hospital, Boston.

“It’s possible that patients who have obstructive plaque in general tend to have a larger amount of plaque as well,” he said. So, while the study suggests that “the more plaque individuals have, the worse their overall risk,” it also shows that the risk “is enhanced even more if they have obstructive disease.”

The Danish cohort analysis “provides a unique opportunity to study the contemporary natural history of coronary artery disease in the absence of intervention,” notes an accompanying editorial.

For example, both patients and clinicians were blinded to CTA results, and CV preventive therapies weren’t common, observe Michael McDermott, MBChB, and David E. Newby, DM, PhD, of the BHF Centre for Cardiovascular Science, University of Edinburgh.

The analysis suggests that subclinical coronary disease that is obstructive predicts MI risk more strongly than extensive coronary disease, they note, and may be present in two-thirds of MI patients. “This contrasts with symptomatic populations, where nonobstructive disease accounts for most future myocardial infarctions, presumably from plaque rupture.”

It also points to “strong associations between nonobstructive extensive disease and adverse plaque characteristics,” write Dr. McDermott and Dr. Newby. “This underscores the major importance of plaque burden” for the prediction of coronary events.
 

Graded risk

The analysis included 9,533 persons aged 40 and older without known ischemic heart disease or symptoms with available CTA assessments.

Obstructive disease, defined as presence of a luminal stenosis of at least 50%, was seen in 10% and nonobstructive disease in 36% of the total cohort, the report states.

Disease occupying more than one-third of the coronary tree was considered extensive and less than one-third of the coronaries nonextensive, occurring in 10.5% and 35.8% of the cohort, respectively.

There were 71 MIs and 193 deaths over a median of 3.5 years. The adjusted relative risk for MI, compared with those without coronary atherosclerosis, was:

• 7.65 (95% confidence interval, 3.53-16.57) overall in patients with extensive disease.
• 8.28 (95% CI, 3.75-18.32) in those with obstructive but nonextensive disease.
• 9.19 (95% CI, 4.49-18.82) overall in those with obstructive disease.
• 12.48 (95% CI, 5.50-28.12) in those with or obstructive and extensive disease.

The adjusted RR for the composite of death or MI was also elevated in persons with extensive disease:

• 2.70 (95% CI, 1.72-4.25) in those with extensive but nonobstructive disease.
• 3.15 (95% CI, 2.05-4.83) in those with extensive and obstructive disease.

“It’s one thing to show that the more plaque, the higher the risk,” Dr. Blankstein said. But “does the information ultimately lead to better outcomes? Do patients have fewer MIs or fewer deaths?” Several ongoing randomized trials are exploring these questions.

They include DANE-HEART (Computed Tomography Coronary Angiography for Primary Prevention), projected to enroll about 6,000 participants from the Copenhagen General Population Study cohort who have at least one CV risk factor, and SCOT-HEART 2 (second Computed Tomography Coronary Angiography for the Prevention of Myocardial Infarction), enrolling a similar cohort in Scotland.

The study was supported by grants from AP Møller og Hustru Chastine Mc-Kinney Møllers Fond, the Research Council of Rigshospitalet, and Danish Heart Foundation. Dr. Fuchs reports no relevant financial relationships. Disclosures for the other authors can be found here. Dr. Blankstein recently disclosed serving as a consultant to Amgen, Caristo Diagnostics, Novartis, and Silence Therapeutics. Disclosures for Dr. McDermott and Dr. Newby, who are SCOT-HEART 2 investigators, can be found here.

A version of this article originally appeared on Medscape.com.

Sudden cardiac arrest (SCA) due to commotio cordis occurs more frequently in non–sport-related settings than is commonly thought, resulting in lower rates of resuscitation and increased mortality, especially among young women, a new review suggests.

The condition is rare, caused by an often fatal arrhythmia secondary to a blunt, nonpenetrating impact over the precordium, without direct structural damage to the heart itself. Common causes in nonsport settings include assault, motor vehicle accidents (MVAs), and daily activities such as occupational accidents.

“We found a stark difference in mortality outcomes between non–sport-related commotio cordis compared to sport-related events,” at 88% vs. 66%, Han S. Lim, MBBS, PhD, of the University of Melbourne, and Austin Health, Heidelberg, Australia, told this news organization. “Rates of cardiopulmonary resuscitation (CPR) (27% vs. 97%) and defibrillation (17% vs. 81%) were considerably lower in the non–sport-related events.”

“Although still being male-predominant, of concern, we saw a higher proportion of females in non–sport-related commotio cordis due to assault, MVAs, and other activities,” he noted. Such events may occur “in secluded domestic settings, may not be witnessed, or may occur as intentional harm, whereby the witness could also be the perpetrator, reducing the likelihood of prompt diagnosis, CPR, and defibrillation administration.”

The study was published online in JACC: Clinical Electrophysiology.
 

Young women affected

Dr. Lim and colleagues searched the literature through 2021 for all cases of commotio cordis. Three hundred and thirty-four cases from among 53 citations were included in the analysis; of those, 121 (36%) occurred in non–sport-related settings, including assault (76%), MVAs (7%), and daily activities (16%). “Daily activities” comprised activities that were expected in a person’s day-to-day routine such as falls, play fighting (in children), and occupational accidents.

Non–sport-related cases primarily involved nonprojectile etiologies (95%), including bodily contact (79%), such as impacts from fists, feet, and knees; impacts with handlebars or steering wheels; and solid stick-like weapons and flat surfaces.

Sport-related cases involved a significantly higher proportion of projectiles (94% vs. 5%) and occurred across a range of sports, mostly at the competitive level (66%).

Both sport-related and non–sport-related commotio cordis affected a similar younger demographic (mean age, 19; mostly males). No statistically significant differences between the two groups were seen with regard to previous cardiac history or family history of cardiac disease, or in arrhythmias on electrocardiogram, biomarkers, or imaging findings.

However, in non–sport-related events, the proportion of females affected was significantly higher (13% vs. 2%), as was mortality (88% vs. 66%). Rates were lower for CPR (27% vs. 97%) and defibrillation use (17% vs. 81%), and resuscitation was more commonly delayed beyond 3 minutes (80% vs. 5%).

The finding that more than a third of reported cases were non–sport-related “is higher than previously reported, and included data from 15 different countries,” the authors noted.

Study limitations included the use of data only from published studies, inclusion of a case series limited to fatal cases, small sample sizes, and lack of consistent reporting of demographic data, mechanisms, investigation results, management, and outcomes.
 

Increased awareness ‘essential’

Dr. Lim and colleagues concluded that increased awareness of non–sport-related commotio cordis is “essential” for early recognition, resuscitation, and mortality reduction. 

Jim Cheung, MD, chair of the American College of Cardiology’s electrophysiology section, “completely agrees.” Greater awareness among the general population could reduce barriers to CPR and automated external defibrillator (AED) use, he said, which in turn, can lead to improved survival.

Furthermore, Dr. Cheung added, “This study underscores the importance of ensuring that non–cardiology-trained physicians such as emergency medicine physicians and trauma surgeons who might encounter patients with non–sports-related commotio cordis recognize the entity during the course of treatment.”

Because the review relied only on published cases, “it may not represent the true breadth of cases that are occurring in the real world,” he noted. “I suspect that cases that occur outside of sports-related activities, such as MVAs and assault, are more likely to be underreported and that the true proportion of non–sports-related commotio cordis may be significantly higher than 36%.” Increased reporting of cases as part of an international commotio cordis registry would help provide additional insights, he suggested.

“There is a common misperception that SCA only occurs among older patients and patients with known coronary artery disease or heart failure,” he said. “For us to move the needle on improving SCA survival, we will need to tackle the problem from multiple angles including increasing public awareness, training the public on CPR and AED use, and improving access to AEDs by addressing structural barriers.”

Dr. Cheung pointed to ongoing efforts by nonprofit, patient-driven organizations such as the SADS Foundation and Omar Carter Foundation, and professional societies such as the American College of Cardiology, the American Heart Association, and Heart Rhythm Society, to direct public awareness campaigns and legislative proposals to address this problem.

Similar efforts are underway among cardiac societies and SCA awareness groups in Australia, Dr. Lim said.

No funding or relevant financial relationships were disclosed.
 

A version of this article first appeared on Medscape.com.

Sudden cardiac arrest (SCA) due to commotio cordis occurs more frequently in non–sport-related settings than is commonly thought, resulting in lower rates of resuscitation and increased mortality, especially among young women, a new review suggests.

The condition is rare, caused by an often fatal arrhythmia secondary to a blunt, nonpenetrating impact over the precordium, without direct structural damage to the heart itself. Common causes in nonsport settings include assault, motor vehicle accidents (MVAs), and daily activities such as occupational accidents.

“We found a stark difference in mortality outcomes between non–sport-related commotio cordis compared to sport-related events,” at 88% vs. 66%, Han S. Lim, MBBS, PhD, of the University of Melbourne, and Austin Health, Heidelberg, Australia, told this news organization. “Rates of cardiopulmonary resuscitation (CPR) (27% vs. 97%) and defibrillation (17% vs. 81%) were considerably lower in the non–sport-related events.”

“Although still being male-predominant, of concern, we saw a higher proportion of females in non–sport-related commotio cordis due to assault, MVAs, and other activities,” he noted. Such events may occur “in secluded domestic settings, may not be witnessed, or may occur as intentional harm, whereby the witness could also be the perpetrator, reducing the likelihood of prompt diagnosis, CPR, and defibrillation administration.”

The study was published online in JACC: Clinical Electrophysiology.
 

Young women affected

Dr. Lim and colleagues searched the literature through 2021 for all cases of commotio cordis. Three hundred and thirty-four cases from among 53 citations were included in the analysis; of those, 121 (36%) occurred in non–sport-related settings, including assault (76%), MVAs (7%), and daily activities (16%). “Daily activities” comprised activities that were expected in a person’s day-to-day routine such as falls, play fighting (in children), and occupational accidents.

Non–sport-related cases primarily involved nonprojectile etiologies (95%), including bodily contact (79%), such as impacts from fists, feet, and knees; impacts with handlebars or steering wheels; and solid stick-like weapons and flat surfaces.

Sport-related cases involved a significantly higher proportion of projectiles (94% vs. 5%) and occurred across a range of sports, mostly at the competitive level (66%).

Both sport-related and non–sport-related commotio cordis affected a similar younger demographic (mean age, 19; mostly males). No statistically significant differences between the two groups were seen with regard to previous cardiac history or family history of cardiac disease, or in arrhythmias on electrocardiogram, biomarkers, or imaging findings.

However, in non–sport-related events, the proportion of females affected was significantly higher (13% vs. 2%), as was mortality (88% vs. 66%). Rates were lower for CPR (27% vs. 97%) and defibrillation use (17% vs. 81%), and resuscitation was more commonly delayed beyond 3 minutes (80% vs. 5%).

The finding that more than a third of reported cases were non–sport-related “is higher than previously reported, and included data from 15 different countries,” the authors noted.

Study limitations included the use of data only from published studies, inclusion of a case series limited to fatal cases, small sample sizes, and lack of consistent reporting of demographic data, mechanisms, investigation results, management, and outcomes.
 

Increased awareness ‘essential’

Dr. Lim and colleagues concluded that increased awareness of non–sport-related commotio cordis is “essential” for early recognition, resuscitation, and mortality reduction. 

Jim Cheung, MD, chair of the American College of Cardiology’s electrophysiology section, “completely agrees.” Greater awareness among the general population could reduce barriers to CPR and automated external defibrillator (AED) use, he said, which in turn, can lead to improved survival.

Furthermore, Dr. Cheung added, “This study underscores the importance of ensuring that non–cardiology-trained physicians such as emergency medicine physicians and trauma surgeons who might encounter patients with non–sports-related commotio cordis recognize the entity during the course of treatment.”

Because the review relied only on published cases, “it may not represent the true breadth of cases that are occurring in the real world,” he noted. “I suspect that cases that occur outside of sports-related activities, such as MVAs and assault, are more likely to be underreported and that the true proportion of non–sports-related commotio cordis may be significantly higher than 36%.” Increased reporting of cases as part of an international commotio cordis registry would help provide additional insights, he suggested.

“There is a common misperception that SCA only occurs among older patients and patients with known coronary artery disease or heart failure,” he said. “For us to move the needle on improving SCA survival, we will need to tackle the problem from multiple angles including increasing public awareness, training the public on CPR and AED use, and improving access to AEDs by addressing structural barriers.”

Dr. Cheung pointed to ongoing efforts by nonprofit, patient-driven organizations such as the SADS Foundation and Omar Carter Foundation, and professional societies such as the American College of Cardiology, the American Heart Association, and Heart Rhythm Society, to direct public awareness campaigns and legislative proposals to address this problem.

Similar efforts are underway among cardiac societies and SCA awareness groups in Australia, Dr. Lim said.

No funding or relevant financial relationships were disclosed.
 

A version of this article first appeared on Medscape.com.

Sudden cardiac arrest (SCA) due to commotio cordis occurs more frequently in non–sport-related settings than is commonly thought, resulting in lower rates of resuscitation and increased mortality, especially among young women, a new review suggests.

The condition is rare, caused by an often fatal arrhythmia secondary to a blunt, nonpenetrating impact over the precordium, without direct structural damage to the heart itself. Common causes in nonsport settings include assault, motor vehicle accidents (MVAs), and daily activities such as occupational accidents.

“We found a stark difference in mortality outcomes between non–sport-related commotio cordis compared to sport-related events,” at 88% vs. 66%, Han S. Lim, MBBS, PhD, of the University of Melbourne, and Austin Health, Heidelberg, Australia, told this news organization. “Rates of cardiopulmonary resuscitation (CPR) (27% vs. 97%) and defibrillation (17% vs. 81%) were considerably lower in the non–sport-related events.”

“Although still being male-predominant, of concern, we saw a higher proportion of females in non–sport-related commotio cordis due to assault, MVAs, and other activities,” he noted. Such events may occur “in secluded domestic settings, may not be witnessed, or may occur as intentional harm, whereby the witness could also be the perpetrator, reducing the likelihood of prompt diagnosis, CPR, and defibrillation administration.”

The study was published online in JACC: Clinical Electrophysiology.
 

Young women affected

Dr. Lim and colleagues searched the literature through 2021 for all cases of commotio cordis. Three hundred and thirty-four cases from among 53 citations were included in the analysis; of those, 121 (36%) occurred in non–sport-related settings, including assault (76%), MVAs (7%), and daily activities (16%). “Daily activities” comprised activities that were expected in a person’s day-to-day routine such as falls, play fighting (in children), and occupational accidents.

Non–sport-related cases primarily involved nonprojectile etiologies (95%), including bodily contact (79%), such as impacts from fists, feet, and knees; impacts with handlebars or steering wheels; and solid stick-like weapons and flat surfaces.

Sport-related cases involved a significantly higher proportion of projectiles (94% vs. 5%) and occurred across a range of sports, mostly at the competitive level (66%).

Both sport-related and non–sport-related commotio cordis affected a similar younger demographic (mean age, 19; mostly males). No statistically significant differences between the two groups were seen with regard to previous cardiac history or family history of cardiac disease, or in arrhythmias on electrocardiogram, biomarkers, or imaging findings.

However, in non–sport-related events, the proportion of females affected was significantly higher (13% vs. 2%), as was mortality (88% vs. 66%). Rates were lower for CPR (27% vs. 97%) and defibrillation use (17% vs. 81%), and resuscitation was more commonly delayed beyond 3 minutes (80% vs. 5%).

The finding that more than a third of reported cases were non–sport-related “is higher than previously reported, and included data from 15 different countries,” the authors noted.

Study limitations included the use of data only from published studies, inclusion of a case series limited to fatal cases, small sample sizes, and lack of consistent reporting of demographic data, mechanisms, investigation results, management, and outcomes.
 

Increased awareness ‘essential’

Dr. Lim and colleagues concluded that increased awareness of non–sport-related commotio cordis is “essential” for early recognition, resuscitation, and mortality reduction. 

Jim Cheung, MD, chair of the American College of Cardiology’s electrophysiology section, “completely agrees.” Greater awareness among the general population could reduce barriers to CPR and automated external defibrillator (AED) use, he said, which in turn, can lead to improved survival.

Furthermore, Dr. Cheung added, “This study underscores the importance of ensuring that non–cardiology-trained physicians such as emergency medicine physicians and trauma surgeons who might encounter patients with non–sports-related commotio cordis recognize the entity during the course of treatment.”

Because the review relied only on published cases, “it may not represent the true breadth of cases that are occurring in the real world,” he noted. “I suspect that cases that occur outside of sports-related activities, such as MVAs and assault, are more likely to be underreported and that the true proportion of non–sports-related commotio cordis may be significantly higher than 36%.” Increased reporting of cases as part of an international commotio cordis registry would help provide additional insights, he suggested.

“There is a common misperception that SCA only occurs among older patients and patients with known coronary artery disease or heart failure,” he said. “For us to move the needle on improving SCA survival, we will need to tackle the problem from multiple angles including increasing public awareness, training the public on CPR and AED use, and improving access to AEDs by addressing structural barriers.”

Dr. Cheung pointed to ongoing efforts by nonprofit, patient-driven organizations such as the SADS Foundation and Omar Carter Foundation, and professional societies such as the American College of Cardiology, the American Heart Association, and Heart Rhythm Society, to direct public awareness campaigns and legislative proposals to address this problem.

Similar efforts are underway among cardiac societies and SCA awareness groups in Australia, Dr. Lim said.

No funding or relevant financial relationships were disclosed.
 

A version of this article first appeared on Medscape.com.

Taking 8,000 steps or more for just 1 or 2 days a week was linked to a significant reduction in all-cause and cardiovascular mortality, according to a study of about 3,000 adults.

Previous research has shown lower mortality rates among individuals who walk consistently, especially those who log at least 8,000 steps daily, but the benefit of intense walking just once or twice a week on long-term health outcomes has not been examined, wrote Kosuke Inoue, MD, of Kyoto University, Japan, and colleagues.

iStock/thinkstockphotos

In a study published in JAMA Network Open, the researchers reviewed 10-year follow-up data for 3,101 adults aged 20 years and older who were part of the 2005 and 2006 National Health and Nutrition Examination Survey (NHANES).

The participants were asked to wear accelerometers to track their steps for 7 consecutive days. The researchers assessed the dose-response relationship between days of taking 8,000 steps or more (about 4 miles) during 1 week, and the primary outcome of all-cause mortality risk after 10 years. Cardiovascular mortality risk after 10 years was a secondary outcome.

The mean age of the participants was 50.5 years and 51% were women. The breakdown by ethnicity was 51% White, 21% Black, 24% Hispanic, and 4% other races/ethnicities. A total of 632 individuals took 8,000 steps or more 0 days a week, 532 took at least 8,000 steps 1-2 days per week, and 1,937 took at least 8,000 steps 3-7 days a week.

During the 10-year follow-up period, overall all-cause mortality was 14.2% and cardiovascular mortality was 5.3% across all step groups.

In an adjusted analysis, individuals who took at least 8,000 steps 1-2 days a week had a 14.9% lower all-cause mortality risk compared with those who never reached 8,000 daily steps. This difference was similar to the 16.5% reduced mortality risk for those who took at least 8,000 steps 3-7 days a week.

Similarly, compared with the group with no days of at least 8,000 steps, cardiovascular mortality risk was 8.1% lower for those who took 8,000 steps 1-2 days per week and 8.4% lower for those who took at least 8,000 steps 3-7 days per week. The decreased mortality risk plateaued at 3-4 days.

These patterns in reduced all-cause mortality risk persisted in a stratified analysis by age (younger than 65 years and 65 years and older) and sex. Similar patterns in reduced mortality also emerged when the researchers used different thresholds of daily steps, such as a minimum of 10,000 steps instead of 8,000. The adjusted all-cause mortality for groups who took at least 10,000 steps 1-2 days a week, 3-7 days a week, and no days a week were 8.1%, 7.3%, and 16.7%, respectively, with corresponding cardiovascular mortality risks of 2.4%, 2.3%, and 7.0%, respectively.

“Given the simplicity and ease of counting daily steps, our findings indicate that the recommended number of steps taken on as few as 1 to 2 days per week may be a feasible option for individuals who are striving to achieve some health benefits through adhering to a recommended daily step count but are unable to accomplish this on a daily basis,” the researchers wrote in their discussion.

The findings were limited by several factors including the use daily step measures for 1 week only at baseline, with no data on how physical activity changes might impact mortality risk, the researchers noted. Other limitations included possible accelerometer error and misclassification of activity, possible selection bias, and lack of data on cause-specific mortality outside of cardiovascular death, they said.

However, the results were strengthened by the use of accelerometers as objective measures of activity and by the availability of 10-year follow-up data for nearly 100% of the participants, they said.

“Although our findings might suffer from residual confounding that should be addressed in future research, they suggest that people may receive substantial health benefits even if a sufficient number of steps are taken on only a couple days of the week,” they concluded.
 

Proceed with caution

The current study findings should be interpreted cautiously in light of the potential unmeasured confounding factors and selection bias that often occur in studies of physical activity, James Sawalla Guseh, MD, of Massachusetts General Hospital, and Jose F. Figueroa, MD, of Harvard T.H. Chan School of Public Health, Boston, wrote in an accompanying editorial.

The results support previous studies showing some longevity benefits with “weekend warrior” patterns of intense physical activity for only a couple of days; however, “the body of evidence for sporadic activity is not as robust as the evidence for sustained and regular aerobic activity,” the authors emphasized.

The editorial authors also highlighted the limitations of the current study, including the observational design and significant differences in demographics and comorbidities between the 1- to 2-days of 8,000 steps exercise group and the 0-day group, as well as the reliance on only a week’s worth of data to infer 10 years’ mortality.

Although the data are consistent with previous observations that increased exercise volume reduces mortality, more research is needed, as the current study findings may not reflect other dimensions of health, including neurological health, they said.

Despite the need for cautious interpretation of the results, the current study “supports the emerging and popular idea that step counting, which does not require consideration of exercise duration or intensity, can offer guidance toward robust and favorable health outcomes,” and may inform step-based activity goals to improve public health, the editorialists wrote.

The study was supported by the Japan Agency for Medical Research and Development, the Japan Society for the Promotion of Science, the Japan Endocrine Society, and the Meiji Yasuda Life Foundation of Health and Welfare. Dr. Inoue also was supported by the Program for the Development of Next-Generation Leading Scientists With Global Insight sponsored by the Ministry of Education, Culture, Sports, Science and Technology, Japan. The other researchers had no relevant financial conflicts to disclose. The editorial authors had no financial conflicts to disclose.

Taking 8,000 steps or more for just 1 or 2 days a week was linked to a significant reduction in all-cause and cardiovascular mortality, according to a study of about 3,000 adults.

Previous research has shown lower mortality rates among individuals who walk consistently, especially those who log at least 8,000 steps daily, but the benefit of intense walking just once or twice a week on long-term health outcomes has not been examined, wrote Kosuke Inoue, MD, of Kyoto University, Japan, and colleagues.

iStock/thinkstockphotos

In a study published in JAMA Network Open, the researchers reviewed 10-year follow-up data for 3,101 adults aged 20 years and older who were part of the 2005 and 2006 National Health and Nutrition Examination Survey (NHANES).

The participants were asked to wear accelerometers to track their steps for 7 consecutive days. The researchers assessed the dose-response relationship between days of taking 8,000 steps or more (about 4 miles) during 1 week, and the primary outcome of all-cause mortality risk after 10 years. Cardiovascular mortality risk after 10 years was a secondary outcome.

The mean age of the participants was 50.5 years and 51% were women. The breakdown by ethnicity was 51% White, 21% Black, 24% Hispanic, and 4% other races/ethnicities. A total of 632 individuals took 8,000 steps or more 0 days a week, 532 took at least 8,000 steps 1-2 days per week, and 1,937 took at least 8,000 steps 3-7 days a week.

During the 10-year follow-up period, overall all-cause mortality was 14.2% and cardiovascular mortality was 5.3% across all step groups.

In an adjusted analysis, individuals who took at least 8,000 steps 1-2 days a week had a 14.9% lower all-cause mortality risk compared with those who never reached 8,000 daily steps. This difference was similar to the 16.5% reduced mortality risk for those who took at least 8,000 steps 3-7 days a week.

Similarly, compared with the group with no days of at least 8,000 steps, cardiovascular mortality risk was 8.1% lower for those who took 8,000 steps 1-2 days per week and 8.4% lower for those who took at least 8,000 steps 3-7 days per week. The decreased mortality risk plateaued at 3-4 days.

These patterns in reduced all-cause mortality risk persisted in a stratified analysis by age (younger than 65 years and 65 years and older) and sex. Similar patterns in reduced mortality also emerged when the researchers used different thresholds of daily steps, such as a minimum of 10,000 steps instead of 8,000. The adjusted all-cause mortality for groups who took at least 10,000 steps 1-2 days a week, 3-7 days a week, and no days a week were 8.1%, 7.3%, and 16.7%, respectively, with corresponding cardiovascular mortality risks of 2.4%, 2.3%, and 7.0%, respectively.

“Given the simplicity and ease of counting daily steps, our findings indicate that the recommended number of steps taken on as few as 1 to 2 days per week may be a feasible option for individuals who are striving to achieve some health benefits through adhering to a recommended daily step count but are unable to accomplish this on a daily basis,” the researchers wrote in their discussion.

The findings were limited by several factors including the use daily step measures for 1 week only at baseline, with no data on how physical activity changes might impact mortality risk, the researchers noted. Other limitations included possible accelerometer error and misclassification of activity, possible selection bias, and lack of data on cause-specific mortality outside of cardiovascular death, they said.

However, the results were strengthened by the use of accelerometers as objective measures of activity and by the availability of 10-year follow-up data for nearly 100% of the participants, they said.

“Although our findings might suffer from residual confounding that should be addressed in future research, they suggest that people may receive substantial health benefits even if a sufficient number of steps are taken on only a couple days of the week,” they concluded.
 

Proceed with caution

The current study findings should be interpreted cautiously in light of the potential unmeasured confounding factors and selection bias that often occur in studies of physical activity, James Sawalla Guseh, MD, of Massachusetts General Hospital, and Jose F. Figueroa, MD, of Harvard T.H. Chan School of Public Health, Boston, wrote in an accompanying editorial.

The results support previous studies showing some longevity benefits with “weekend warrior” patterns of intense physical activity for only a couple of days; however, “the body of evidence for sporadic activity is not as robust as the evidence for sustained and regular aerobic activity,” the authors emphasized.

The editorial authors also highlighted the limitations of the current study, including the observational design and significant differences in demographics and comorbidities between the 1- to 2-days of 8,000 steps exercise group and the 0-day group, as well as the reliance on only a week’s worth of data to infer 10 years’ mortality.

Although the data are consistent with previous observations that increased exercise volume reduces mortality, more research is needed, as the current study findings may not reflect other dimensions of health, including neurological health, they said.

Despite the need for cautious interpretation of the results, the current study “supports the emerging and popular idea that step counting, which does not require consideration of exercise duration or intensity, can offer guidance toward robust and favorable health outcomes,” and may inform step-based activity goals to improve public health, the editorialists wrote.

The study was supported by the Japan Agency for Medical Research and Development, the Japan Society for the Promotion of Science, the Japan Endocrine Society, and the Meiji Yasuda Life Foundation of Health and Welfare. Dr. Inoue also was supported by the Program for the Development of Next-Generation Leading Scientists With Global Insight sponsored by the Ministry of Education, Culture, Sports, Science and Technology, Japan. The other researchers had no relevant financial conflicts to disclose. The editorial authors had no financial conflicts to disclose.

Taking 8,000 steps or more for just 1 or 2 days a week was linked to a significant reduction in all-cause and cardiovascular mortality, according to a study of about 3,000 adults.

Previous research has shown lower mortality rates among individuals who walk consistently, especially those who log at least 8,000 steps daily, but the benefit of intense walking just once or twice a week on long-term health outcomes has not been examined, wrote Kosuke Inoue, MD, of Kyoto University, Japan, and colleagues.

iStock/thinkstockphotos

In a study published in JAMA Network Open, the researchers reviewed 10-year follow-up data for 3,101 adults aged 20 years and older who were part of the 2005 and 2006 National Health and Nutrition Examination Survey (NHANES).

The participants were asked to wear accelerometers to track their steps for 7 consecutive days. The researchers assessed the dose-response relationship between days of taking 8,000 steps or more (about 4 miles) during 1 week, and the primary outcome of all-cause mortality risk after 10 years. Cardiovascular mortality risk after 10 years was a secondary outcome.

The mean age of the participants was 50.5 years and 51% were women. The breakdown by ethnicity was 51% White, 21% Black, 24% Hispanic, and 4% other races/ethnicities. A total of 632 individuals took 8,000 steps or more 0 days a week, 532 took at least 8,000 steps 1-2 days per week, and 1,937 took at least 8,000 steps 3-7 days a week.

During the 10-year follow-up period, overall all-cause mortality was 14.2% and cardiovascular mortality was 5.3% across all step groups.

In an adjusted analysis, individuals who took at least 8,000 steps 1-2 days a week had a 14.9% lower all-cause mortality risk compared with those who never reached 8,000 daily steps. This difference was similar to the 16.5% reduced mortality risk for those who took at least 8,000 steps 3-7 days a week.

Similarly, compared with the group with no days of at least 8,000 steps, cardiovascular mortality risk was 8.1% lower for those who took 8,000 steps 1-2 days per week and 8.4% lower for those who took at least 8,000 steps 3-7 days per week. The decreased mortality risk plateaued at 3-4 days.

These patterns in reduced all-cause mortality risk persisted in a stratified analysis by age (younger than 65 years and 65 years and older) and sex. Similar patterns in reduced mortality also emerged when the researchers used different thresholds of daily steps, such as a minimum of 10,000 steps instead of 8,000. The adjusted all-cause mortality for groups who took at least 10,000 steps 1-2 days a week, 3-7 days a week, and no days a week were 8.1%, 7.3%, and 16.7%, respectively, with corresponding cardiovascular mortality risks of 2.4%, 2.3%, and 7.0%, respectively.

“Given the simplicity and ease of counting daily steps, our findings indicate that the recommended number of steps taken on as few as 1 to 2 days per week may be a feasible option for individuals who are striving to achieve some health benefits through adhering to a recommended daily step count but are unable to accomplish this on a daily basis,” the researchers wrote in their discussion.

The findings were limited by several factors including the use daily step measures for 1 week only at baseline, with no data on how physical activity changes might impact mortality risk, the researchers noted. Other limitations included possible accelerometer error and misclassification of activity, possible selection bias, and lack of data on cause-specific mortality outside of cardiovascular death, they said.

However, the results were strengthened by the use of accelerometers as objective measures of activity and by the availability of 10-year follow-up data for nearly 100% of the participants, they said.

“Although our findings might suffer from residual confounding that should be addressed in future research, they suggest that people may receive substantial health benefits even if a sufficient number of steps are taken on only a couple days of the week,” they concluded.
 

Proceed with caution

The current study findings should be interpreted cautiously in light of the potential unmeasured confounding factors and selection bias that often occur in studies of physical activity, James Sawalla Guseh, MD, of Massachusetts General Hospital, and Jose F. Figueroa, MD, of Harvard T.H. Chan School of Public Health, Boston, wrote in an accompanying editorial.

The results support previous studies showing some longevity benefits with “weekend warrior” patterns of intense physical activity for only a couple of days; however, “the body of evidence for sporadic activity is not as robust as the evidence for sustained and regular aerobic activity,” the authors emphasized.

The editorial authors also highlighted the limitations of the current study, including the observational design and significant differences in demographics and comorbidities between the 1- to 2-days of 8,000 steps exercise group and the 0-day group, as well as the reliance on only a week’s worth of data to infer 10 years’ mortality.

Although the data are consistent with previous observations that increased exercise volume reduces mortality, more research is needed, as the current study findings may not reflect other dimensions of health, including neurological health, they said.

Despite the need for cautious interpretation of the results, the current study “supports the emerging and popular idea that step counting, which does not require consideration of exercise duration or intensity, can offer guidance toward robust and favorable health outcomes,” and may inform step-based activity goals to improve public health, the editorialists wrote.

The study was supported by the Japan Agency for Medical Research and Development, the Japan Society for the Promotion of Science, the Japan Endocrine Society, and the Meiji Yasuda Life Foundation of Health and Welfare. Dr. Inoue also was supported by the Program for the Development of Next-Generation Leading Scientists With Global Insight sponsored by the Ministry of Education, Culture, Sports, Science and Technology, Japan. The other researchers had no relevant financial conflicts to disclose. The editorial authors had no financial conflicts to disclose.