Cardiology News

TOPLINE:

Higher doses of nonsteroidal anti-inflammatory drugs (NSAIDs) increase the risk for cardiovascular diseases (CVDs) such as ischemic heart disease, stroke, and congestive heart failure in patients with ankylosing spondylitis (AS) compared with lower doses.

METHODOLOGY:

• NSAIDs can suppress inflammation and relieve pain in patients with AS, but long-term treatment with NSAIDs poses concerns regarding gastrointestinal and renal toxicities and increased CVD risk.
• This nationwide cohort study used data from the Korean National Health Insurance database to investigate the risk for CVD associated with an increasing NSAID dosage in a real-world AS cohort.
• Investigators recruited 19,775 patients (mean age, 36.1 years; 75% men) with newly diagnosed AS and without any prior CVD between January 2010 and December 2018, among whom 99.7% received NSAID treatment and 30.2% received tumor necrosis factor inhibitor treatment.
• A time-varying approach was used to assess the NSAID exposure, wherein periods of NSAID use were defined as “NSAID-exposed” and periods longer than 1 month without NSAID use were defined as “NSAID-unexposed.”
• The primary outcome was the composite outcome of ischemic heart disease, stroke, or congestive heart failure.

TAKEAWAY:

• During the follow-up period of 98,290 person-years, 1663 cases of CVD were identified, which included 1157 cases of ischemic heart disease, 301 cases of stroke, and 613 cases of congestive heart failure.
• After adjusting for confounders, each defined daily dose increase in NSAIDs raised the risk for incident CVD by 10% (adjusted hazard ratio [aHR], 1.10; 95% CI, 1.08-1.13).
• Similarly, increasing the dose of NSAIDs was associated with an increased risk for ischemic heart disease (aHR, 1.08; 95% CI, 1.05-1.11), stroke (aHR, 1.09; 95% CI, 1.04-1.15), and congestive heart failure (aHR, 1.12; 95% CI, 1.08-1.16).
• The association between increasing NSAID dose and increased CVD risk was consistent across various subgroups, with NSAIDs posing a greater threat to cardiovascular health in women than in men.

IN PRACTICE:

The authors wrote, “Taken together, these results suggest that increasing the dose of NSAIDs is associated with a higher cardiovascular risk in AS, but that the increased risk might be lower than that in the general population.”

SOURCE:

First author Ji-Won Kim, MD, PhD, of the Division of Rheumatology, Department of Internal Medicine, Daegu Catholic University School of Medicine, Daegu, the Republic of Korea, and colleagues had their work published online on April 9 in Annals of the Rheumatic Diseases.

LIMITATIONS:

The study was of retrospective nature. The levels of acute phase reactants and AS disease activity could not be determined owing to a lack of data in the National Health Insurance database. The accuracy of the diagnosis of cardiovascular outcomes on the basis of the International Classification of Disease codes was also questionable.

DISCLOSURES:

The study was supported by the National Research Foundation of Korea. The authors declared no conflicts of interest.

A version of this article appeared on Medscape.com.

TOPLINE:

Higher doses of nonsteroidal anti-inflammatory drugs (NSAIDs) increase the risk for cardiovascular diseases (CVDs) such as ischemic heart disease, stroke, and congestive heart failure in patients with ankylosing spondylitis (AS) compared with lower doses.

METHODOLOGY:

• NSAIDs can suppress inflammation and relieve pain in patients with AS, but long-term treatment with NSAIDs poses concerns regarding gastrointestinal and renal toxicities and increased CVD risk.
• This nationwide cohort study used data from the Korean National Health Insurance database to investigate the risk for CVD associated with an increasing NSAID dosage in a real-world AS cohort.
• Investigators recruited 19,775 patients (mean age, 36.1 years; 75% men) with newly diagnosed AS and without any prior CVD between January 2010 and December 2018, among whom 99.7% received NSAID treatment and 30.2% received tumor necrosis factor inhibitor treatment.
• A time-varying approach was used to assess the NSAID exposure, wherein periods of NSAID use were defined as “NSAID-exposed” and periods longer than 1 month without NSAID use were defined as “NSAID-unexposed.”
• The primary outcome was the composite outcome of ischemic heart disease, stroke, or congestive heart failure.

TAKEAWAY:

• During the follow-up period of 98,290 person-years, 1663 cases of CVD were identified, which included 1157 cases of ischemic heart disease, 301 cases of stroke, and 613 cases of congestive heart failure.
• After adjusting for confounders, each defined daily dose increase in NSAIDs raised the risk for incident CVD by 10% (adjusted hazard ratio [aHR], 1.10; 95% CI, 1.08-1.13).
• Similarly, increasing the dose of NSAIDs was associated with an increased risk for ischemic heart disease (aHR, 1.08; 95% CI, 1.05-1.11), stroke (aHR, 1.09; 95% CI, 1.04-1.15), and congestive heart failure (aHR, 1.12; 95% CI, 1.08-1.16).
• The association between increasing NSAID dose and increased CVD risk was consistent across various subgroups, with NSAIDs posing a greater threat to cardiovascular health in women than in men.

IN PRACTICE:

The authors wrote, “Taken together, these results suggest that increasing the dose of NSAIDs is associated with a higher cardiovascular risk in AS, but that the increased risk might be lower than that in the general population.”

SOURCE:

First author Ji-Won Kim, MD, PhD, of the Division of Rheumatology, Department of Internal Medicine, Daegu Catholic University School of Medicine, Daegu, the Republic of Korea, and colleagues had their work published online on April 9 in Annals of the Rheumatic Diseases.

LIMITATIONS:

The study was of retrospective nature. The levels of acute phase reactants and AS disease activity could not be determined owing to a lack of data in the National Health Insurance database. The accuracy of the diagnosis of cardiovascular outcomes on the basis of the International Classification of Disease codes was also questionable.

DISCLOSURES:

The study was supported by the National Research Foundation of Korea. The authors declared no conflicts of interest.

A version of this article appeared on Medscape.com.

TOPLINE:

Higher doses of nonsteroidal anti-inflammatory drugs (NSAIDs) increase the risk for cardiovascular diseases (CVDs) such as ischemic heart disease, stroke, and congestive heart failure in patients with ankylosing spondylitis (AS) compared with lower doses.

METHODOLOGY:

• NSAIDs can suppress inflammation and relieve pain in patients with AS, but long-term treatment with NSAIDs poses concerns regarding gastrointestinal and renal toxicities and increased CVD risk.
• This nationwide cohort study used data from the Korean National Health Insurance database to investigate the risk for CVD associated with an increasing NSAID dosage in a real-world AS cohort.
• Investigators recruited 19,775 patients (mean age, 36.1 years; 75% men) with newly diagnosed AS and without any prior CVD between January 2010 and December 2018, among whom 99.7% received NSAID treatment and 30.2% received tumor necrosis factor inhibitor treatment.
• A time-varying approach was used to assess the NSAID exposure, wherein periods of NSAID use were defined as “NSAID-exposed” and periods longer than 1 month without NSAID use were defined as “NSAID-unexposed.”
• The primary outcome was the composite outcome of ischemic heart disease, stroke, or congestive heart failure.

TAKEAWAY:

• During the follow-up period of 98,290 person-years, 1663 cases of CVD were identified, which included 1157 cases of ischemic heart disease, 301 cases of stroke, and 613 cases of congestive heart failure.
• After adjusting for confounders, each defined daily dose increase in NSAIDs raised the risk for incident CVD by 10% (adjusted hazard ratio [aHR], 1.10; 95% CI, 1.08-1.13).
• Similarly, increasing the dose of NSAIDs was associated with an increased risk for ischemic heart disease (aHR, 1.08; 95% CI, 1.05-1.11), stroke (aHR, 1.09; 95% CI, 1.04-1.15), and congestive heart failure (aHR, 1.12; 95% CI, 1.08-1.16).
• The association between increasing NSAID dose and increased CVD risk was consistent across various subgroups, with NSAIDs posing a greater threat to cardiovascular health in women than in men.

IN PRACTICE:

The authors wrote, “Taken together, these results suggest that increasing the dose of NSAIDs is associated with a higher cardiovascular risk in AS, but that the increased risk might be lower than that in the general population.”

SOURCE:

First author Ji-Won Kim, MD, PhD, of the Division of Rheumatology, Department of Internal Medicine, Daegu Catholic University School of Medicine, Daegu, the Republic of Korea, and colleagues had their work published online on April 9 in Annals of the Rheumatic Diseases.

LIMITATIONS:

The study was of retrospective nature. The levels of acute phase reactants and AS disease activity could not be determined owing to a lack of data in the National Health Insurance database. The accuracy of the diagnosis of cardiovascular outcomes on the basis of the International Classification of Disease codes was also questionable.

DISCLOSURES:

The study was supported by the National Research Foundation of Korea. The authors declared no conflicts of interest.

A version of this article appeared on Medscape.com.

TOPLINE:

Blood pressure (BP) self-monitoring and medication management may be better than usual care for controlling hypertension, a new study published in JAMA Network Open suggested. 

METHODOLOGY:

• The secondary analysis of a randomized, unblinded clinical trial included patients aged ≥ 40 years with uncontrolled hypertension in Valencia, Spain, between 2017 and 2020.
• The 111 patients in the intervention group received educational materials and instructions for self-monitoring of BP with a home monitor and medication adjustment as needed without contacting their healthcare clinicians.
• The 108 patients in the control group received usual care, including education on BP control.
• After 24 months, researchers recorded BP levels, the number of people who achieved a target BP (systolic BP < 140 mm Hg and diastolic BP < 90 mm Hg), adverse events, quality of life, behavioral changes, and health service use.

TAKEAWAY:

• Patients in the intervention group had a lower average systolic BP reading at 24 months than patients who received usual care (adjusted mean difference, -3.4 mm Hg).
• Patients in the intervention group also had a lower average diastolic BP reading than usual care (adjusted mean difference, -2.5 mm Hg).
• The percentage of people who achieved the target BP was similar in both groups (64% in the intervention group compared with 54% in the control group).
• Researchers found no difference between groups in terms of adverse events, use of health services, behavioral changes such as smoking status or body weight, or quality of life.

IN PRACTICE:

“These results suggest that simple, inexpensive, and easy-to-implement self-management interventions have the potential to improve the long-term control of hypertension in routine clinical practice.” 

SOURCE:

The study was led by Gabriel Sanfélix-Gimeno, PhD, Pharm D, head of the Health Services Research & Pharmacoepidemiology Unit at Fisabio Research Institute in Valencia, Spain.

LIMITATIONS:

Some study participants were lost to follow-up due to COVID-19 restrictions. The trial was unblinded, which may have led to biases among patients and clinicians. Clinicians treated both the control and intervention groups. The results may not be extrapolated to those with controlled hypertension, very high BP, or people who are pregnant because they were not included in the study.

DISCLOSURES:

Various authors reported receiving grants from RTI Health Solutions or personal fees from GSK and MSD outside the submitted work. No other disclosures were reported. The study was funded by the Instituto de Salud Carlos III at the Spanish Ministry of Research, Innovation and Universities, the European Regional Development Fund, and Spanish Clinical Research Network.

A version of this article appeared on Medscape.com.

TOPLINE:

Blood pressure (BP) self-monitoring and medication management may be better than usual care for controlling hypertension, a new study published in JAMA Network Open suggested. 

METHODOLOGY:

• The secondary analysis of a randomized, unblinded clinical trial included patients aged ≥ 40 years with uncontrolled hypertension in Valencia, Spain, between 2017 and 2020.
• The 111 patients in the intervention group received educational materials and instructions for self-monitoring of BP with a home monitor and medication adjustment as needed without contacting their healthcare clinicians.
• The 108 patients in the control group received usual care, including education on BP control.
• After 24 months, researchers recorded BP levels, the number of people who achieved a target BP (systolic BP < 140 mm Hg and diastolic BP < 90 mm Hg), adverse events, quality of life, behavioral changes, and health service use.

TAKEAWAY:

• Patients in the intervention group had a lower average systolic BP reading at 24 months than patients who received usual care (adjusted mean difference, -3.4 mm Hg).
• Patients in the intervention group also had a lower average diastolic BP reading than usual care (adjusted mean difference, -2.5 mm Hg).
• The percentage of people who achieved the target BP was similar in both groups (64% in the intervention group compared with 54% in the control group).
• Researchers found no difference between groups in terms of adverse events, use of health services, behavioral changes such as smoking status or body weight, or quality of life.

IN PRACTICE:

“These results suggest that simple, inexpensive, and easy-to-implement self-management interventions have the potential to improve the long-term control of hypertension in routine clinical practice.” 

SOURCE:

The study was led by Gabriel Sanfélix-Gimeno, PhD, Pharm D, head of the Health Services Research & Pharmacoepidemiology Unit at Fisabio Research Institute in Valencia, Spain.

LIMITATIONS:

Some study participants were lost to follow-up due to COVID-19 restrictions. The trial was unblinded, which may have led to biases among patients and clinicians. Clinicians treated both the control and intervention groups. The results may not be extrapolated to those with controlled hypertension, very high BP, or people who are pregnant because they were not included in the study.

DISCLOSURES:

Various authors reported receiving grants from RTI Health Solutions or personal fees from GSK and MSD outside the submitted work. No other disclosures were reported. The study was funded by the Instituto de Salud Carlos III at the Spanish Ministry of Research, Innovation and Universities, the European Regional Development Fund, and Spanish Clinical Research Network.

A version of this article appeared on Medscape.com.

TOPLINE:

Blood pressure (BP) self-monitoring and medication management may be better than usual care for controlling hypertension, a new study published in JAMA Network Open suggested. 

METHODOLOGY:

• The secondary analysis of a randomized, unblinded clinical trial included patients aged ≥ 40 years with uncontrolled hypertension in Valencia, Spain, between 2017 and 2020.
• The 111 patients in the intervention group received educational materials and instructions for self-monitoring of BP with a home monitor and medication adjustment as needed without contacting their healthcare clinicians.
• The 108 patients in the control group received usual care, including education on BP control.
• After 24 months, researchers recorded BP levels, the number of people who achieved a target BP (systolic BP < 140 mm Hg and diastolic BP < 90 mm Hg), adverse events, quality of life, behavioral changes, and health service use.

TAKEAWAY:

• Patients in the intervention group had a lower average systolic BP reading at 24 months than patients who received usual care (adjusted mean difference, -3.4 mm Hg).
• Patients in the intervention group also had a lower average diastolic BP reading than usual care (adjusted mean difference, -2.5 mm Hg).
• The percentage of people who achieved the target BP was similar in both groups (64% in the intervention group compared with 54% in the control group).
• Researchers found no difference between groups in terms of adverse events, use of health services, behavioral changes such as smoking status or body weight, or quality of life.

IN PRACTICE:

“These results suggest that simple, inexpensive, and easy-to-implement self-management interventions have the potential to improve the long-term control of hypertension in routine clinical practice.” 

SOURCE:

The study was led by Gabriel Sanfélix-Gimeno, PhD, Pharm D, head of the Health Services Research & Pharmacoepidemiology Unit at Fisabio Research Institute in Valencia, Spain.

LIMITATIONS:

Some study participants were lost to follow-up due to COVID-19 restrictions. The trial was unblinded, which may have led to biases among patients and clinicians. Clinicians treated both the control and intervention groups. The results may not be extrapolated to those with controlled hypertension, very high BP, or people who are pregnant because they were not included in the study.

DISCLOSURES:

Various authors reported receiving grants from RTI Health Solutions or personal fees from GSK and MSD outside the submitted work. No other disclosures were reported. The study was funded by the Instituto de Salud Carlos III at the Spanish Ministry of Research, Innovation and Universities, the European Regional Development Fund, and Spanish Clinical Research Network.

A version of this article appeared on Medscape.com.

A new systematic literature review adds complexity to the controversy over testosterone’s relationship to risk for myocardial infarction, stroke, cardiovascular death, and all-cause mortality.

Last year, the TRAVERSE (Testosterone Replacement Therapy for Assessment of Long-term Vascular Events and Efficacy ResponSE in Hypogonadal Men) trial was the first randomized, placebo-controlled study designed and powered to determine whether testosterone therapy increased risk for major cardiovascular events in men (ages 45-80 years). Its conclusions provided reassurance that modest use of testosterone therapy short term does not increase CVD risk.

But other studies have had different conclusions and TRAVERSE left unanswered questions, so Bu B. Yeap, MBBS, PhD, an endocrinologist at the University of Western Australia in Crawley, and colleagues completed a literature review with 11 prospective cohort studies of community-dwelling men with sex steroid levels measured with mass spectrometry. Nine of the studies provided individual participation data (IPD); two used aggregate data, and all had at least 5 years of follow-up.

The findings were published in Annals of Internal Medicine .

Dr. Yeap’s team concluded that certain groups of men have higher risk for CVD events. In this study, men with very low testosterone, high luteinizing hormone (LH), or very low estradiol concentrations had higher all-cause mortality. Sex hormone–binding globulin (SHBG) concentration was positively associated and dihydrotestosterone (DHT) levels were nonlinearly associated with all-cause mortality and CVD mortality.

The testosterone level below which men had higher risk of death from any cause was 7.4 nmol/L (213 ng/dL), regardless of LH concentration, the researchers concluded, writing, “This adds to information on reference ranges based on distributions of testosterone in selected samples of healthy men.”

The link between higher SHBG concentrations and higher all-cause mortality “may be related to its role as the major binding protein for sex steroids in the circulation,” the authors wrote. “We found a U-shaped association of DHT with all-cause and CVD-related mortality risks, which were higher at lower and very high DHT concentrations. Men with very low DHT concentrations also had increased risk for incident CVD events. Further investigation into potential underlying mechanisms for these associations is warranted.”
 

Rigorous Methodology Adds Value

Bradley D. Anawalt, MD, with the University of Washington School of Medicine in Seattle, pointed out in an accompanying editorial that the study’s findings are particularly valuable because of the team’s rigorous methodology. The team measured testosterone with the gold standard, mass spectrometry, which can also measure DHT and estradiol more accurately than widely available commercial immunoassays, which “are inaccurate for measurement of these sex steroids in men, who typically have low serum concentrations of these two metabolites of testosterone,” Dr. Anawalt said.

Also, the researchers obtained raw data from the nine IPD studies and reanalyzed the combined data, which allows for more sophisticated analysis when combining data from multiple studies, Dr. Anawalt explained.

The main finding from the Yeap et al. study, he wrote, is that high testosterone concentrations at baseline were not linked with increased deaths from CVD or from all causes “but very low serum total testosterone concentrations at baseline were.

“It is tempting to hypothesize that testosterone therapy might have cardiovascular benefits solely in patients with very low concentrations of serum total testosterone,” Dr. Anawalt wrote.

He pointed out as particularly interesting the findings for DHT and estradiol.

“The finding that a low serum estradiol concentration is associated with higher all-cause mortality adds another reason (in addition to the adverse effects on body fat and bone health) to avoid aromatase inhibitors that are commonly taken by persons who use anabolic steroids,” he wrote. “The prospect of a U-shaped curve for the relationship between serum DHT and higher cardiovascular risk warrants further study.”

The work is funded by the Government of Western Australia and Lawley Pharmaceuticals. The authors’ and editorial writer’s conflicts of interest are listed in the full study.

A new systematic literature review adds complexity to the controversy over testosterone’s relationship to risk for myocardial infarction, stroke, cardiovascular death, and all-cause mortality.

Last year, the TRAVERSE (Testosterone Replacement Therapy for Assessment of Long-term Vascular Events and Efficacy ResponSE in Hypogonadal Men) trial was the first randomized, placebo-controlled study designed and powered to determine whether testosterone therapy increased risk for major cardiovascular events in men (ages 45-80 years). Its conclusions provided reassurance that modest use of testosterone therapy short term does not increase CVD risk.

But other studies have had different conclusions and TRAVERSE left unanswered questions, so Bu B. Yeap, MBBS, PhD, an endocrinologist at the University of Western Australia in Crawley, and colleagues completed a literature review with 11 prospective cohort studies of community-dwelling men with sex steroid levels measured with mass spectrometry. Nine of the studies provided individual participation data (IPD); two used aggregate data, and all had at least 5 years of follow-up.

The findings were published in Annals of Internal Medicine .

Dr. Yeap’s team concluded that certain groups of men have higher risk for CVD events. In this study, men with very low testosterone, high luteinizing hormone (LH), or very low estradiol concentrations had higher all-cause mortality. Sex hormone–binding globulin (SHBG) concentration was positively associated and dihydrotestosterone (DHT) levels were nonlinearly associated with all-cause mortality and CVD mortality.

The testosterone level below which men had higher risk of death from any cause was 7.4 nmol/L (213 ng/dL), regardless of LH concentration, the researchers concluded, writing, “This adds to information on reference ranges based on distributions of testosterone in selected samples of healthy men.”

The link between higher SHBG concentrations and higher all-cause mortality “may be related to its role as the major binding protein for sex steroids in the circulation,” the authors wrote. “We found a U-shaped association of DHT with all-cause and CVD-related mortality risks, which were higher at lower and very high DHT concentrations. Men with very low DHT concentrations also had increased risk for incident CVD events. Further investigation into potential underlying mechanisms for these associations is warranted.”
 

Rigorous Methodology Adds Value

Bradley D. Anawalt, MD, with the University of Washington School of Medicine in Seattle, pointed out in an accompanying editorial that the study’s findings are particularly valuable because of the team’s rigorous methodology. The team measured testosterone with the gold standard, mass spectrometry, which can also measure DHT and estradiol more accurately than widely available commercial immunoassays, which “are inaccurate for measurement of these sex steroids in men, who typically have low serum concentrations of these two metabolites of testosterone,” Dr. Anawalt said.

Also, the researchers obtained raw data from the nine IPD studies and reanalyzed the combined data, which allows for more sophisticated analysis when combining data from multiple studies, Dr. Anawalt explained.

The main finding from the Yeap et al. study, he wrote, is that high testosterone concentrations at baseline were not linked with increased deaths from CVD or from all causes “but very low serum total testosterone concentrations at baseline were.

“It is tempting to hypothesize that testosterone therapy might have cardiovascular benefits solely in patients with very low concentrations of serum total testosterone,” Dr. Anawalt wrote.

He pointed out as particularly interesting the findings for DHT and estradiol.

“The finding that a low serum estradiol concentration is associated with higher all-cause mortality adds another reason (in addition to the adverse effects on body fat and bone health) to avoid aromatase inhibitors that are commonly taken by persons who use anabolic steroids,” he wrote. “The prospect of a U-shaped curve for the relationship between serum DHT and higher cardiovascular risk warrants further study.”

The work is funded by the Government of Western Australia and Lawley Pharmaceuticals. The authors’ and editorial writer’s conflicts of interest are listed in the full study.

A new systematic literature review adds complexity to the controversy over testosterone’s relationship to risk for myocardial infarction, stroke, cardiovascular death, and all-cause mortality.

Last year, the TRAVERSE (Testosterone Replacement Therapy for Assessment of Long-term Vascular Events and Efficacy ResponSE in Hypogonadal Men) trial was the first randomized, placebo-controlled study designed and powered to determine whether testosterone therapy increased risk for major cardiovascular events in men (ages 45-80 years). Its conclusions provided reassurance that modest use of testosterone therapy short term does not increase CVD risk.

But other studies have had different conclusions and TRAVERSE left unanswered questions, so Bu B. Yeap, MBBS, PhD, an endocrinologist at the University of Western Australia in Crawley, and colleagues completed a literature review with 11 prospective cohort studies of community-dwelling men with sex steroid levels measured with mass spectrometry. Nine of the studies provided individual participation data (IPD); two used aggregate data, and all had at least 5 years of follow-up.

The findings were published in Annals of Internal Medicine .

Dr. Yeap’s team concluded that certain groups of men have higher risk for CVD events. In this study, men with very low testosterone, high luteinizing hormone (LH), or very low estradiol concentrations had higher all-cause mortality. Sex hormone–binding globulin (SHBG) concentration was positively associated and dihydrotestosterone (DHT) levels were nonlinearly associated with all-cause mortality and CVD mortality.

The testosterone level below which men had higher risk of death from any cause was 7.4 nmol/L (213 ng/dL), regardless of LH concentration, the researchers concluded, writing, “This adds to information on reference ranges based on distributions of testosterone in selected samples of healthy men.”

The link between higher SHBG concentrations and higher all-cause mortality “may be related to its role as the major binding protein for sex steroids in the circulation,” the authors wrote. “We found a U-shaped association of DHT with all-cause and CVD-related mortality risks, which were higher at lower and very high DHT concentrations. Men with very low DHT concentrations also had increased risk for incident CVD events. Further investigation into potential underlying mechanisms for these associations is warranted.”
 

Rigorous Methodology Adds Value

Bradley D. Anawalt, MD, with the University of Washington School of Medicine in Seattle, pointed out in an accompanying editorial that the study’s findings are particularly valuable because of the team’s rigorous methodology. The team measured testosterone with the gold standard, mass spectrometry, which can also measure DHT and estradiol more accurately than widely available commercial immunoassays, which “are inaccurate for measurement of these sex steroids in men, who typically have low serum concentrations of these two metabolites of testosterone,” Dr. Anawalt said.

Also, the researchers obtained raw data from the nine IPD studies and reanalyzed the combined data, which allows for more sophisticated analysis when combining data from multiple studies, Dr. Anawalt explained.

The main finding from the Yeap et al. study, he wrote, is that high testosterone concentrations at baseline were not linked with increased deaths from CVD or from all causes “but very low serum total testosterone concentrations at baseline were.

“It is tempting to hypothesize that testosterone therapy might have cardiovascular benefits solely in patients with very low concentrations of serum total testosterone,” Dr. Anawalt wrote.

He pointed out as particularly interesting the findings for DHT and estradiol.

“The finding that a low serum estradiol concentration is associated with higher all-cause mortality adds another reason (in addition to the adverse effects on body fat and bone health) to avoid aromatase inhibitors that are commonly taken by persons who use anabolic steroids,” he wrote. “The prospect of a U-shaped curve for the relationship between serum DHT and higher cardiovascular risk warrants further study.”

The work is funded by the Government of Western Australia and Lawley Pharmaceuticals. The authors’ and editorial writer’s conflicts of interest are listed in the full study.

This transcript has been edited for clarity.

As you all know by now, I’m always looking out for lifestyle changes that are both pleasurable and healthy. They are hard to find, especially when it comes to diet. My kids complain about this all the time: “When you say ‘healthy food,’ you just mean yucky food.” And yes, French fries are amazing, and no, we can’t have them three times a day.

So, when I saw an article claiming that olive oil reduces the risk for dementia, I was interested. I love olive oil; I cook with it all the time. But as is always the case in the world of nutritional epidemiology, we need to be careful. There are a lot of reasons to doubt the results of this study — and one reason to believe it’s true.

The study I’m talking about is “Consumption of Olive Oil and Diet Quality and Risk of Dementia-Related Death,” appearing in JAMA Network Open and following a well-trod formula in the nutritional epidemiology space.

Nearly 100,000 participants, all healthcare workers, filled out a food frequency questionnaire every 4 years with 130 questions touching on all aspects of diet: How often do you eat bananas, bacon, olive oil? Participants were followed for more than 20 years, and if they died, the cause of death was flagged as being dementia-related or not. Over that time frame there were around 38,000 deaths, of which 4751 were due to dementia.

The rest is just statistics. The authors show that those who reported consuming more olive oil were less likely to die from dementia — about 50% less likely, if you compare those who reported eating more than 7 grams of olive oil a day with those who reported eating none.
 

Is It What You Eat, or What You Don’t Eat?

And we could stop there if we wanted to; I’m sure big olive oil would be happy with that. Is there such a thing as “big olive oil”? But no, we need to dig deeper here because this study has the same problems as all nutritional epidemiology studies. Number one, no one is sitting around drinking small cups of olive oil. They consume it with other foods. And it was clear from the food frequency questionnaire that people who consumed more olive oil also consumed less red meat, more fruits and vegetables, more whole grains, more butter, and less margarine. And those are just the findings reported in the paper. I suspect that people who eat more olive oil also eat more tomatoes, for example, though data this granular aren’t shown. So, it can be really hard, in studies like this, to know for sure that it’s actually the olive oil that is helpful rather than some other constituent in the diet.

The flip side of that coin presents another issue. The food you eat is also a marker of the food you don’t eat. People who ate olive oil consumed less margarine, for example. At the time of this study, margarine was still adulterated with trans-fats, which a pretty solid evidence base suggests are really bad for your vascular system. So perhaps it’s not that olive oil is particularly good for you but that something else is bad for you. In other words, simply adding olive oil to your diet without changing anything else may not do anything.

The other major problem with studies of this sort is that people don’t consume food at random. The type of person who eats a lot of olive oil is simply different from the type of person who doesn›t. For one thing, olive oil is expensive. A 25-ounce bottle of olive oil is on sale at my local supermarket right now for $11.00. A similar-sized bottle of vegetable oil goes for $4.00.

Isn’t it interesting that food that costs more money tends to be associated with better health outcomes? (I’m looking at you, red wine.) Perhaps it’s not the food; perhaps it’s the money. We aren’t provided data on household income in this study, but we can see that the heavy olive oil users were less likely to be current smokers and they got more physical activity.

Now, the authors are aware of these limitations and do their best to account for them. In multivariable models, they adjust for other stuff in the diet, and even for income (sort of; they use census tract as a proxy for income, which is really a broad brush), and still find a significant though weakened association showing a protective effect of olive oil on dementia-related death. But still — adjustment is never perfect, and the small effect size here could definitely be due to residual confounding.
 

Evidence More Convincing

Now, I did tell you that there is one reason to believe that this study is true, but it’s not really from this study.

It’s from the PREDIMED randomized trial.

This is nutritional epidemiology I can get behind. Published in 2018, investigators in Spain randomized around 7500 participants to receive a liter of olive oil once a week vs mixed nuts, vs small nonfood gifts, the idea here being that if you have olive oil around, you’ll use it more. And people who were randomly assigned to get the olive oil had a 30% lower rate of cardiovascular events. A secondary analysis of that study found that the rate of development of mild cognitive impairment was 65% lower in those who were randomly assigned to olive oil. That’s an impressive result.

So, there might be something to this olive oil thing, but I’m not quite ready to add it to my “pleasurable things that are still good for you” list just yet. Though it does make me wonder: Can we make French fries in the stuff?
 

Dr. Wilson is associate professor of medicine and public health and director of the Clinical and Translational Research Accelerator at Yale University, New Haven, Conn. He has disclosed no relevant financial relationships.

A version of this article appeared on Medscape.com.

This transcript has been edited for clarity.

As you all know by now, I’m always looking out for lifestyle changes that are both pleasurable and healthy. They are hard to find, especially when it comes to diet. My kids complain about this all the time: “When you say ‘healthy food,’ you just mean yucky food.” And yes, French fries are amazing, and no, we can’t have them three times a day.

So, when I saw an article claiming that olive oil reduces the risk for dementia, I was interested. I love olive oil; I cook with it all the time. But as is always the case in the world of nutritional epidemiology, we need to be careful. There are a lot of reasons to doubt the results of this study — and one reason to believe it’s true.

The study I’m talking about is “Consumption of Olive Oil and Diet Quality and Risk of Dementia-Related Death,” appearing in JAMA Network Open and following a well-trod formula in the nutritional epidemiology space.

Nearly 100,000 participants, all healthcare workers, filled out a food frequency questionnaire every 4 years with 130 questions touching on all aspects of diet: How often do you eat bananas, bacon, olive oil? Participants were followed for more than 20 years, and if they died, the cause of death was flagged as being dementia-related or not. Over that time frame there were around 38,000 deaths, of which 4751 were due to dementia.

The rest is just statistics. The authors show that those who reported consuming more olive oil were less likely to die from dementia — about 50% less likely, if you compare those who reported eating more than 7 grams of olive oil a day with those who reported eating none.
 

Is It What You Eat, or What You Don’t Eat?

And we could stop there if we wanted to; I’m sure big olive oil would be happy with that. Is there such a thing as “big olive oil”? But no, we need to dig deeper here because this study has the same problems as all nutritional epidemiology studies. Number one, no one is sitting around drinking small cups of olive oil. They consume it with other foods. And it was clear from the food frequency questionnaire that people who consumed more olive oil also consumed less red meat, more fruits and vegetables, more whole grains, more butter, and less margarine. And those are just the findings reported in the paper. I suspect that people who eat more olive oil also eat more tomatoes, for example, though data this granular aren’t shown. So, it can be really hard, in studies like this, to know for sure that it’s actually the olive oil that is helpful rather than some other constituent in the diet.

The flip side of that coin presents another issue. The food you eat is also a marker of the food you don’t eat. People who ate olive oil consumed less margarine, for example. At the time of this study, margarine was still adulterated with trans-fats, which a pretty solid evidence base suggests are really bad for your vascular system. So perhaps it’s not that olive oil is particularly good for you but that something else is bad for you. In other words, simply adding olive oil to your diet without changing anything else may not do anything.

The other major problem with studies of this sort is that people don’t consume food at random. The type of person who eats a lot of olive oil is simply different from the type of person who doesn›t. For one thing, olive oil is expensive. A 25-ounce bottle of olive oil is on sale at my local supermarket right now for $11.00. A similar-sized bottle of vegetable oil goes for $4.00.

Isn’t it interesting that food that costs more money tends to be associated with better health outcomes? (I’m looking at you, red wine.) Perhaps it’s not the food; perhaps it’s the money. We aren’t provided data on household income in this study, but we can see that the heavy olive oil users were less likely to be current smokers and they got more physical activity.

Now, the authors are aware of these limitations and do their best to account for them. In multivariable models, they adjust for other stuff in the diet, and even for income (sort of; they use census tract as a proxy for income, which is really a broad brush), and still find a significant though weakened association showing a protective effect of olive oil on dementia-related death. But still — adjustment is never perfect, and the small effect size here could definitely be due to residual confounding.
 

Evidence More Convincing

Now, I did tell you that there is one reason to believe that this study is true, but it’s not really from this study.

It’s from the PREDIMED randomized trial.

This is nutritional epidemiology I can get behind. Published in 2018, investigators in Spain randomized around 7500 participants to receive a liter of olive oil once a week vs mixed nuts, vs small nonfood gifts, the idea here being that if you have olive oil around, you’ll use it more. And people who were randomly assigned to get the olive oil had a 30% lower rate of cardiovascular events. A secondary analysis of that study found that the rate of development of mild cognitive impairment was 65% lower in those who were randomly assigned to olive oil. That’s an impressive result.

So, there might be something to this olive oil thing, but I’m not quite ready to add it to my “pleasurable things that are still good for you” list just yet. Though it does make me wonder: Can we make French fries in the stuff?
 

Dr. Wilson is associate professor of medicine and public health and director of the Clinical and Translational Research Accelerator at Yale University, New Haven, Conn. He has disclosed no relevant financial relationships.

A version of this article appeared on Medscape.com.

This transcript has been edited for clarity.

As you all know by now, I’m always looking out for lifestyle changes that are both pleasurable and healthy. They are hard to find, especially when it comes to diet. My kids complain about this all the time: “When you say ‘healthy food,’ you just mean yucky food.” And yes, French fries are amazing, and no, we can’t have them three times a day.

So, when I saw an article claiming that olive oil reduces the risk for dementia, I was interested. I love olive oil; I cook with it all the time. But as is always the case in the world of nutritional epidemiology, we need to be careful. There are a lot of reasons to doubt the results of this study — and one reason to believe it’s true.

The study I’m talking about is “Consumption of Olive Oil and Diet Quality and Risk of Dementia-Related Death,” appearing in JAMA Network Open and following a well-trod formula in the nutritional epidemiology space.

Nearly 100,000 participants, all healthcare workers, filled out a food frequency questionnaire every 4 years with 130 questions touching on all aspects of diet: How often do you eat bananas, bacon, olive oil? Participants were followed for more than 20 years, and if they died, the cause of death was flagged as being dementia-related or not. Over that time frame there were around 38,000 deaths, of which 4751 were due to dementia.

The rest is just statistics. The authors show that those who reported consuming more olive oil were less likely to die from dementia — about 50% less likely, if you compare those who reported eating more than 7 grams of olive oil a day with those who reported eating none.
 

Is It What You Eat, or What You Don’t Eat?

And we could stop there if we wanted to; I’m sure big olive oil would be happy with that. Is there such a thing as “big olive oil”? But no, we need to dig deeper here because this study has the same problems as all nutritional epidemiology studies. Number one, no one is sitting around drinking small cups of olive oil. They consume it with other foods. And it was clear from the food frequency questionnaire that people who consumed more olive oil also consumed less red meat, more fruits and vegetables, more whole grains, more butter, and less margarine. And those are just the findings reported in the paper. I suspect that people who eat more olive oil also eat more tomatoes, for example, though data this granular aren’t shown. So, it can be really hard, in studies like this, to know for sure that it’s actually the olive oil that is helpful rather than some other constituent in the diet.

The flip side of that coin presents another issue. The food you eat is also a marker of the food you don’t eat. People who ate olive oil consumed less margarine, for example. At the time of this study, margarine was still adulterated with trans-fats, which a pretty solid evidence base suggests are really bad for your vascular system. So perhaps it’s not that olive oil is particularly good for you but that something else is bad for you. In other words, simply adding olive oil to your diet without changing anything else may not do anything.

The other major problem with studies of this sort is that people don’t consume food at random. The type of person who eats a lot of olive oil is simply different from the type of person who doesn›t. For one thing, olive oil is expensive. A 25-ounce bottle of olive oil is on sale at my local supermarket right now for $11.00. A similar-sized bottle of vegetable oil goes for $4.00.

Isn’t it interesting that food that costs more money tends to be associated with better health outcomes? (I’m looking at you, red wine.) Perhaps it’s not the food; perhaps it’s the money. We aren’t provided data on household income in this study, but we can see that the heavy olive oil users were less likely to be current smokers and they got more physical activity.

Now, the authors are aware of these limitations and do their best to account for them. In multivariable models, they adjust for other stuff in the diet, and even for income (sort of; they use census tract as a proxy for income, which is really a broad brush), and still find a significant though weakened association showing a protective effect of olive oil on dementia-related death. But still — adjustment is never perfect, and the small effect size here could definitely be due to residual confounding.
 

Evidence More Convincing

Now, I did tell you that there is one reason to believe that this study is true, but it’s not really from this study.

It’s from the PREDIMED randomized trial.

This is nutritional epidemiology I can get behind. Published in 2018, investigators in Spain randomized around 7500 participants to receive a liter of olive oil once a week vs mixed nuts, vs small nonfood gifts, the idea here being that if you have olive oil around, you’ll use it more. And people who were randomly assigned to get the olive oil had a 30% lower rate of cardiovascular events. A secondary analysis of that study found that the rate of development of mild cognitive impairment was 65% lower in those who were randomly assigned to olive oil. That’s an impressive result.

So, there might be something to this olive oil thing, but I’m not quite ready to add it to my “pleasurable things that are still good for you” list just yet. Though it does make me wonder: Can we make French fries in the stuff?
 

Dr. Wilson is associate professor of medicine and public health and director of the Clinical and Translational Research Accelerator at Yale University, New Haven, Conn. He has disclosed no relevant financial relationships.

A version of this article appeared on Medscape.com.

New research by Thomas Münzel, MD, senior professor of cardiology at Johannes Gutenberg University Mainz in Mainz, Germany, and colleagues again emphasized the harmful effects of noise on the heart and blood vessels. An analysis of current epidemiologic data provided strong indications that transportation noise is closely related to cardiovascular and cerebrovascular diseases, according to a statement on the data analysis. The results were published in Circulation Research.

Morbidity and Mortality

Epidemiologic studies have shown that road, rail, or air traffic noise increases the risk for cardiovascular morbidity and mortality, with strong evidence for ischemic heart disease, heart failure, and stroke, according to the scientists. The World Health Organization reported that at least 1.6 million healthy life years are lost annually in Western Europe because of traffic-related noise. Nighttime traffic noise leads to sleep fragmentation and shortening, an increase in stress hormone levels, and increased oxidative stress in the vessels and brain. These factors could favor vascular (endothelial) dysfunction, inflammation, and hypertension, thereby increasing cardiovascular risk.

Consequences and Pathomechanisms

In the current publication, the authors provided an overview of epidemiologic research on the effects of transportation noise on cardiovascular risk factors and diseases, discussed mechanistic insights from the latest clinical and experimental studies, and proposed new risk markers to address noise-induced cardiovascular effects in the general population. An integrated analysis in the article demonstrated that for every 10 dB(A) increase, the risk for cardiovascular diseases such as heart attack, stroke, and heart failure significantly increases by 3.2%.

The authors also explained the possible effects of noise on changes in gene networks, epigenetic pathways, circadian rhythms, signal transmission along the neuronal-cardiovascular axis, oxidative stress, inflammation, and metabolism. Finally, current and future noise protection strategies are described, and the existing evidence on noise as a cardiovascular risk factor is discussed.

Confirmed Cardiovascular Risk Factor

“As an increasing proportion of the population is exposed to harmful traffic noise, efforts to reduce noise and laws for noise reduction are of great importance for future public health,” said Dr. Münzel. “It is also important for us that due to the strong evidence, traffic noise is finally recognized as a risk factor for cardiovascular diseases.”

Heart Attack Outcomes

Dr. Münzel and other researchers from Mainz have been studying the cardiovascular consequences of air pollution and traffic noise for several years. For example, they found that heart attacks in people and animals exposed to high noise levels earlier in life healed poorly. These results were published last year in Cardiovascular Research. According to the authors, the findings suggest that traffic noise may play a significant role in the development and course of coronary heart disease, such as after a heart attack.

The scientists initially found in animal experiments that exposure to aircraft noise for 4 days led to increased inflammation in the vessels. Compared with mice not exposed to aircraft noise, the noise-exposed animals showed an increase in free radicals; these animals exhibited a significant inflammatory response and had impaired vessel function.

The researchers explained that the experimental data showed aircraft noise alone triggers a proinflammatory transcription program that promotes the infiltration of immune cells into cardiovascular tissue in animals with acute myocardial infarction. They noted an increased infiltration of CD45+ cells into the vessels and heart, dominated by neutrophils in vessel tissue and Ly6Chigh monocytes in heart tissue. This infiltration creates a proinflammatory milieu that adversely affects the outcome after myocardial infarction by predisposing the heart tissue to greater ischemic damage and functional impairment. Exposure of animals to aircraft noise before induction of myocardial infarction by left anterior descending (LAD) coronary artery ligation impaired left ventricular function and increased infarct size after cardiac ischemia. In addition, noise exposure exacerbated infarct-induced endothelial dysfunction of peripheral vessels as early as 24 hours after LAD ligation.

Clinical Confirmation

These experimental results were confirmed by observations in the population-based Gutenberg Health Study. The researchers analyzed data from 100 patients with heart attack. The lead and senior authors of the study Michael Molitor, MD, and Philip Wenzel, MD, of the University of Mainz, explained, “From our studies, we have learned that exposure to aircraft noise before a heart attack significantly amplifies subsequent cardiovascular inflammation and exacerbates ischemic heart failure, which is favored by inflammation-promoting vascular conditioning. Our translational results show that people who have been exposed to noise in the past have a worse course if they experience a heart attack later in life.”

Study participants who had experienced a heart attack in their medical history had elevated levels of C-reactive protein if they had been exposed to aircraft noise in the past and subsequently developed noise annoyance reactions (0.305 vs 1.5; P = .0094). In addition, left ventricular ejection fraction in these patients after a heart attack was worse than that in patients with infarction without noise exposure in their medical history (62.5 vs 65.6; P = .0053).

The results suggest that measures to reduce environmental noise could help improve the clinical outcomes of heart attack patients, according to the authors.

Mental Health Effects

Traffic noise also may be associated with an increased risk for depression and anxiety disorders, as reported 2 years ago by the German Society for Psychosomatic Medicine and Medical Psychotherapy. Evolution has programmed the human organism to perceive noises as indicators of potential sources of danger — even during sleep. “Noise puts the body on alert,” explained Manfred E. Beutel, MD, director of the Clinic for Psychosomatic Medicine and Psychotherapy at the University of Mainz. As a result, the autonomic nervous system activates stress hormones such as adrenaline and cortisol, leading to an increase in heart rate and blood pressure. If noise becomes chronic, chronic diseases can develop. “Indeed, observational and experimental studies have shown that persistent noise annoyance promotes incident hypertension, cardiovascular diseases, and type 2 diabetes,” said Dr. Beutel.

Depression Risk Doubled

Among the negative effects of noise annoyance are also mental illnesses, as has become increasingly clear. “Noise annoyance disrupts daily activities and interferes with feelings and thoughts, sleep, and recovery,” said Dr. Beutel. The interruptions trigger negative emotional reactions such as anger, distress, exhaustion, flight impulses, and stress symptoms. “Such conditions promote the development of depression over time,” said Dr. Beutel. This observation was confirmed by the large-scale Gutenberg Health Study using the example of the Mainz population, which suffers to a large extent from noise annoyance because of the nearby Frankfurt Airport. “With increasing noise annoyance, the rates of depression and anxiety disorders steadily increased, until the risks eventually doubled with extreme annoyance,” said Dr. Beutel. Other studies point in the same direction. For example, a meta-analysis found a 12% increase in the risk for depression per 10-dB increase in noise. Another study found an association between nocturnal noise annoyance and the use of antidepressants.

Fine Particulate Matter

According to an evaluation of the Gutenberg Study, people perceive noise annoyance from aircraft noise as the most pronounced, followed by road, neighborhood, industrial, and railway noise. Noise occurs most frequently in urban areas that also produce air pollution such as fine particulate matter. “Fine particulate matter is also suspected of promoting anxiety and depression,” said Dr. Beutel, “because the small particles of fine particulate matter can enter the bloodstream and trigger inflammatory processes there, which in turn are closely related to depression.”

This story was translated from Univadis Germany, which is part of the Medscape professional network, using several editorial tools, including AI, as part of the process. Human editors reviewed this content before publication. A version of this article appeared on Medscape.com.

New research by Thomas Münzel, MD, senior professor of cardiology at Johannes Gutenberg University Mainz in Mainz, Germany, and colleagues again emphasized the harmful effects of noise on the heart and blood vessels. An analysis of current epidemiologic data provided strong indications that transportation noise is closely related to cardiovascular and cerebrovascular diseases, according to a statement on the data analysis. The results were published in Circulation Research.

Morbidity and Mortality

Epidemiologic studies have shown that road, rail, or air traffic noise increases the risk for cardiovascular morbidity and mortality, with strong evidence for ischemic heart disease, heart failure, and stroke, according to the scientists. The World Health Organization reported that at least 1.6 million healthy life years are lost annually in Western Europe because of traffic-related noise. Nighttime traffic noise leads to sleep fragmentation and shortening, an increase in stress hormone levels, and increased oxidative stress in the vessels and brain. These factors could favor vascular (endothelial) dysfunction, inflammation, and hypertension, thereby increasing cardiovascular risk.

Consequences and Pathomechanisms

In the current publication, the authors provided an overview of epidemiologic research on the effects of transportation noise on cardiovascular risk factors and diseases, discussed mechanistic insights from the latest clinical and experimental studies, and proposed new risk markers to address noise-induced cardiovascular effects in the general population. An integrated analysis in the article demonstrated that for every 10 dB(A) increase, the risk for cardiovascular diseases such as heart attack, stroke, and heart failure significantly increases by 3.2%.

The authors also explained the possible effects of noise on changes in gene networks, epigenetic pathways, circadian rhythms, signal transmission along the neuronal-cardiovascular axis, oxidative stress, inflammation, and metabolism. Finally, current and future noise protection strategies are described, and the existing evidence on noise as a cardiovascular risk factor is discussed.

Confirmed Cardiovascular Risk Factor

“As an increasing proportion of the population is exposed to harmful traffic noise, efforts to reduce noise and laws for noise reduction are of great importance for future public health,” said Dr. Münzel. “It is also important for us that due to the strong evidence, traffic noise is finally recognized as a risk factor for cardiovascular diseases.”

Heart Attack Outcomes

Dr. Münzel and other researchers from Mainz have been studying the cardiovascular consequences of air pollution and traffic noise for several years. For example, they found that heart attacks in people and animals exposed to high noise levels earlier in life healed poorly. These results were published last year in Cardiovascular Research. According to the authors, the findings suggest that traffic noise may play a significant role in the development and course of coronary heart disease, such as after a heart attack.

The scientists initially found in animal experiments that exposure to aircraft noise for 4 days led to increased inflammation in the vessels. Compared with mice not exposed to aircraft noise, the noise-exposed animals showed an increase in free radicals; these animals exhibited a significant inflammatory response and had impaired vessel function.

The researchers explained that the experimental data showed aircraft noise alone triggers a proinflammatory transcription program that promotes the infiltration of immune cells into cardiovascular tissue in animals with acute myocardial infarction. They noted an increased infiltration of CD45+ cells into the vessels and heart, dominated by neutrophils in vessel tissue and Ly6Chigh monocytes in heart tissue. This infiltration creates a proinflammatory milieu that adversely affects the outcome after myocardial infarction by predisposing the heart tissue to greater ischemic damage and functional impairment. Exposure of animals to aircraft noise before induction of myocardial infarction by left anterior descending (LAD) coronary artery ligation impaired left ventricular function and increased infarct size after cardiac ischemia. In addition, noise exposure exacerbated infarct-induced endothelial dysfunction of peripheral vessels as early as 24 hours after LAD ligation.

Clinical Confirmation

These experimental results were confirmed by observations in the population-based Gutenberg Health Study. The researchers analyzed data from 100 patients with heart attack. The lead and senior authors of the study Michael Molitor, MD, and Philip Wenzel, MD, of the University of Mainz, explained, “From our studies, we have learned that exposure to aircraft noise before a heart attack significantly amplifies subsequent cardiovascular inflammation and exacerbates ischemic heart failure, which is favored by inflammation-promoting vascular conditioning. Our translational results show that people who have been exposed to noise in the past have a worse course if they experience a heart attack later in life.”

Study participants who had experienced a heart attack in their medical history had elevated levels of C-reactive protein if they had been exposed to aircraft noise in the past and subsequently developed noise annoyance reactions (0.305 vs 1.5; P = .0094). In addition, left ventricular ejection fraction in these patients after a heart attack was worse than that in patients with infarction without noise exposure in their medical history (62.5 vs 65.6; P = .0053).

The results suggest that measures to reduce environmental noise could help improve the clinical outcomes of heart attack patients, according to the authors.

Mental Health Effects

Traffic noise also may be associated with an increased risk for depression and anxiety disorders, as reported 2 years ago by the German Society for Psychosomatic Medicine and Medical Psychotherapy. Evolution has programmed the human organism to perceive noises as indicators of potential sources of danger — even during sleep. “Noise puts the body on alert,” explained Manfred E. Beutel, MD, director of the Clinic for Psychosomatic Medicine and Psychotherapy at the University of Mainz. As a result, the autonomic nervous system activates stress hormones such as adrenaline and cortisol, leading to an increase in heart rate and blood pressure. If noise becomes chronic, chronic diseases can develop. “Indeed, observational and experimental studies have shown that persistent noise annoyance promotes incident hypertension, cardiovascular diseases, and type 2 diabetes,” said Dr. Beutel.

Depression Risk Doubled

Among the negative effects of noise annoyance are also mental illnesses, as has become increasingly clear. “Noise annoyance disrupts daily activities and interferes with feelings and thoughts, sleep, and recovery,” said Dr. Beutel. The interruptions trigger negative emotional reactions such as anger, distress, exhaustion, flight impulses, and stress symptoms. “Such conditions promote the development of depression over time,” said Dr. Beutel. This observation was confirmed by the large-scale Gutenberg Health Study using the example of the Mainz population, which suffers to a large extent from noise annoyance because of the nearby Frankfurt Airport. “With increasing noise annoyance, the rates of depression and anxiety disorders steadily increased, until the risks eventually doubled with extreme annoyance,” said Dr. Beutel. Other studies point in the same direction. For example, a meta-analysis found a 12% increase in the risk for depression per 10-dB increase in noise. Another study found an association between nocturnal noise annoyance and the use of antidepressants.

Fine Particulate Matter

According to an evaluation of the Gutenberg Study, people perceive noise annoyance from aircraft noise as the most pronounced, followed by road, neighborhood, industrial, and railway noise. Noise occurs most frequently in urban areas that also produce air pollution such as fine particulate matter. “Fine particulate matter is also suspected of promoting anxiety and depression,” said Dr. Beutel, “because the small particles of fine particulate matter can enter the bloodstream and trigger inflammatory processes there, which in turn are closely related to depression.”

This story was translated from Univadis Germany, which is part of the Medscape professional network, using several editorial tools, including AI, as part of the process. Human editors reviewed this content before publication. A version of this article appeared on Medscape.com.

New research by Thomas Münzel, MD, senior professor of cardiology at Johannes Gutenberg University Mainz in Mainz, Germany, and colleagues again emphasized the harmful effects of noise on the heart and blood vessels. An analysis of current epidemiologic data provided strong indications that transportation noise is closely related to cardiovascular and cerebrovascular diseases, according to a statement on the data analysis. The results were published in Circulation Research.

Morbidity and Mortality

Epidemiologic studies have shown that road, rail, or air traffic noise increases the risk for cardiovascular morbidity and mortality, with strong evidence for ischemic heart disease, heart failure, and stroke, according to the scientists. The World Health Organization reported that at least 1.6 million healthy life years are lost annually in Western Europe because of traffic-related noise. Nighttime traffic noise leads to sleep fragmentation and shortening, an increase in stress hormone levels, and increased oxidative stress in the vessels and brain. These factors could favor vascular (endothelial) dysfunction, inflammation, and hypertension, thereby increasing cardiovascular risk.

Consequences and Pathomechanisms

In the current publication, the authors provided an overview of epidemiologic research on the effects of transportation noise on cardiovascular risk factors and diseases, discussed mechanistic insights from the latest clinical and experimental studies, and proposed new risk markers to address noise-induced cardiovascular effects in the general population. An integrated analysis in the article demonstrated that for every 10 dB(A) increase, the risk for cardiovascular diseases such as heart attack, stroke, and heart failure significantly increases by 3.2%.

The authors also explained the possible effects of noise on changes in gene networks, epigenetic pathways, circadian rhythms, signal transmission along the neuronal-cardiovascular axis, oxidative stress, inflammation, and metabolism. Finally, current and future noise protection strategies are described, and the existing evidence on noise as a cardiovascular risk factor is discussed.

Confirmed Cardiovascular Risk Factor

“As an increasing proportion of the population is exposed to harmful traffic noise, efforts to reduce noise and laws for noise reduction are of great importance for future public health,” said Dr. Münzel. “It is also important for us that due to the strong evidence, traffic noise is finally recognized as a risk factor for cardiovascular diseases.”

Heart Attack Outcomes

Dr. Münzel and other researchers from Mainz have been studying the cardiovascular consequences of air pollution and traffic noise for several years. For example, they found that heart attacks in people and animals exposed to high noise levels earlier in life healed poorly. These results were published last year in Cardiovascular Research. According to the authors, the findings suggest that traffic noise may play a significant role in the development and course of coronary heart disease, such as after a heart attack.

The scientists initially found in animal experiments that exposure to aircraft noise for 4 days led to increased inflammation in the vessels. Compared with mice not exposed to aircraft noise, the noise-exposed animals showed an increase in free radicals; these animals exhibited a significant inflammatory response and had impaired vessel function.

The researchers explained that the experimental data showed aircraft noise alone triggers a proinflammatory transcription program that promotes the infiltration of immune cells into cardiovascular tissue in animals with acute myocardial infarction. They noted an increased infiltration of CD45+ cells into the vessels and heart, dominated by neutrophils in vessel tissue and Ly6Chigh monocytes in heart tissue. This infiltration creates a proinflammatory milieu that adversely affects the outcome after myocardial infarction by predisposing the heart tissue to greater ischemic damage and functional impairment. Exposure of animals to aircraft noise before induction of myocardial infarction by left anterior descending (LAD) coronary artery ligation impaired left ventricular function and increased infarct size after cardiac ischemia. In addition, noise exposure exacerbated infarct-induced endothelial dysfunction of peripheral vessels as early as 24 hours after LAD ligation.

Clinical Confirmation

These experimental results were confirmed by observations in the population-based Gutenberg Health Study. The researchers analyzed data from 100 patients with heart attack. The lead and senior authors of the study Michael Molitor, MD, and Philip Wenzel, MD, of the University of Mainz, explained, “From our studies, we have learned that exposure to aircraft noise before a heart attack significantly amplifies subsequent cardiovascular inflammation and exacerbates ischemic heart failure, which is favored by inflammation-promoting vascular conditioning. Our translational results show that people who have been exposed to noise in the past have a worse course if they experience a heart attack later in life.”

Study participants who had experienced a heart attack in their medical history had elevated levels of C-reactive protein if they had been exposed to aircraft noise in the past and subsequently developed noise annoyance reactions (0.305 vs 1.5; P = .0094). In addition, left ventricular ejection fraction in these patients after a heart attack was worse than that in patients with infarction without noise exposure in their medical history (62.5 vs 65.6; P = .0053).

The results suggest that measures to reduce environmental noise could help improve the clinical outcomes of heart attack patients, according to the authors.

Mental Health Effects

Traffic noise also may be associated with an increased risk for depression and anxiety disorders, as reported 2 years ago by the German Society for Psychosomatic Medicine and Medical Psychotherapy. Evolution has programmed the human organism to perceive noises as indicators of potential sources of danger — even during sleep. “Noise puts the body on alert,” explained Manfred E. Beutel, MD, director of the Clinic for Psychosomatic Medicine and Psychotherapy at the University of Mainz. As a result, the autonomic nervous system activates stress hormones such as adrenaline and cortisol, leading to an increase in heart rate and blood pressure. If noise becomes chronic, chronic diseases can develop. “Indeed, observational and experimental studies have shown that persistent noise annoyance promotes incident hypertension, cardiovascular diseases, and type 2 diabetes,” said Dr. Beutel.

Depression Risk Doubled

Among the negative effects of noise annoyance are also mental illnesses, as has become increasingly clear. “Noise annoyance disrupts daily activities and interferes with feelings and thoughts, sleep, and recovery,” said Dr. Beutel. The interruptions trigger negative emotional reactions such as anger, distress, exhaustion, flight impulses, and stress symptoms. “Such conditions promote the development of depression over time,” said Dr. Beutel. This observation was confirmed by the large-scale Gutenberg Health Study using the example of the Mainz population, which suffers to a large extent from noise annoyance because of the nearby Frankfurt Airport. “With increasing noise annoyance, the rates of depression and anxiety disorders steadily increased, until the risks eventually doubled with extreme annoyance,” said Dr. Beutel. Other studies point in the same direction. For example, a meta-analysis found a 12% increase in the risk for depression per 10-dB increase in noise. Another study found an association between nocturnal noise annoyance and the use of antidepressants.

Fine Particulate Matter

According to an evaluation of the Gutenberg Study, people perceive noise annoyance from aircraft noise as the most pronounced, followed by road, neighborhood, industrial, and railway noise. Noise occurs most frequently in urban areas that also produce air pollution such as fine particulate matter. “Fine particulate matter is also suspected of promoting anxiety and depression,” said Dr. Beutel, “because the small particles of fine particulate matter can enter the bloodstream and trigger inflammatory processes there, which in turn are closely related to depression.”

This story was translated from Univadis Germany, which is part of the Medscape professional network, using several editorial tools, including AI, as part of the process. Human editors reviewed this content before publication. A version of this article appeared on Medscape.com.

Observational studies on red meat consumption and lifespan are prime examples of attempts to find signal in a sea of noise. 

Randomized controlled trials are the best way to sort cause from mere correlation. But these are not possible in most matters of food consumption. So, we look back and observe groups with different exposures.

My most frequent complaint about these nonrandom comparison studies has been the chance that the two groups differ in important ways, and it’s these differences — not the food in question — that account for the disparate outcomes.

But selection biases are only one issue. There is also the matter of analytic flexibility. Observational studies are born from large databases. Researchers have many choices in how to analyze all these data.

A few years ago, Brian Nosek, PhD, and colleagues elegantly showed that analytic choices can affect results. His Many Analysts, One Data Set study had little uptake in the medical community, perhaps because he studied a social science question.
 

Multiple Ways to Slice the Data

Recently, a group from McMaster University, led by Dena Zeraatkar, PhD, has confirmed the analytic choices problem, using the question of red meat consumption and mortality. 

Their idea was simple: Because there are many plausible and defensible ways to analyze a dataset, we should not choose one method; rather, we should choose thousands, combine the results, and see where the truth lies. 

You might wonder how there could be thousands of ways to analyze a dataset. I surely did. 

The answer stems from the choices that researchers face. For instance, there is the selection of eligible participants, the choice of analytic model (logistic, Poisson, etc.), and covariates for which to adjust. Think exponents when combining possible choices.

Dr. Zeraatkar and colleagues are research methodologists, so, sadly, they are comfortable with the clunky name of this approach: specification curve analysis. Don’t be deterred. It means that they analyze the data in thousands of ways using computers. Each way is a specification. In the end, the specifications give rise to a curve of hazard ratios for red meat and mortality. Another name for this approach is multiverse analysis.

For their paper in the Journal of Clinical Epidemiology, aptly named “Grilling the Data,” they didn’t just conjure up the many analytic ways to study the red meat–mortality question. Instead, they used a published systematic review of 15 studies on unprocessed red meat and early mortality. The studies included in this review reported 70 unique ways to analyze the association. 
 

Is Red Meat Good or Bad?

Their first finding was that this analysis yielded widely disparate effect estimates, from 0.63 (reduced risk for early death) to 2.31 (a higher risk). The median hazard ratio was 1.14 with an interquartile range (IQR) of 1.02-1.23. One might conclude from this that eating red meat is associated with a slightly higher risk for early mortality. 

Their second step was to calculate how many ways (specifications) there were to analyze the data by totaling all possible combinations of choices in the 70 ways found in the systematic review. 

They calculated a total of 10 quadrillion possible unique analyses. A quadrillion is 1 with 15 zeros. Computing power cannot handle that amount of analyses yet. So, they generated 20 random unique combinations of covariates, which narrowed the number of analyses to about 1400. About 200 of these were excluded due to implausibly wide confidence intervals. 

Voilà. They now had about 1200 different ways to analyze a dataset; they chose an NHANES longitudinal cohort study from 2007-2014. They deemed each of the more than 1200 approaches plausible because they were derived from peer-reviewed papers written by experts in epidemiology. 
 

Specification Curve Analyses Results 

Each analysis (or specification) yielded a hazard ratio for red meat exposure and death.

• The median HR was 0.94 (IQR, 0.83-1.05) for the effect of red meat on all-cause mortality — ie, not significant.
• The range of hazard ratios was large. They went from 0.51 — a 49% reduced risk for early mortality — to 1.75: a 75% increase in early mortality.
• Among all analyses, 36% yielded hazard ratios above 1.0 and 64% less than 1.0.
• As for statistical significance, defined as P ≤.05, only 4% (or 48 specifications) met this threshold. Zeraatkar reminded me that this is what you’d expect if unprocessed red meat has no effect on longevity.
• Of the 48 analyses deemed statistically significant, 40 indicated that red meat consumption reduced early death and eight indicated that eating red meat led to higher mortality.
• Nearly half the analyses yielded unexciting point estimates, with hazard ratios between 0.90 and 1.10.

Paradigm Changing 

As a user of evidence, I find this a potentially paradigm-changing study. Observational studies far outnumber randomized trials. For many medical questions, observational data are all we have. 

Now think about every observational study published. The authors tell you — post hoc — which method they used to analyze the data. The key point is that it is one method. 

Dr. Zeraatkar and colleagues have shown that there are thousands of plausible ways to analyze the data, and this can lead to very different findings. In the specific question of red meat and mortality, their many analyses yielded a null result. 

Now imagine other cases where the researchers did many analyses of a dataset and chose to publish only the significant ones. Observational studies are rarely preregistered, so a reader cannot know how a result would vary depending on analytic choices. A specification curve analysis of a dataset provides a much broader picture. In the case of red meat, you see some significant results, but the vast majority hover around null. 

What about the difficulty in analyzing a dataset 1000 different ways? Dr. Zeraatkar told me that it is harder than just choosing one method, but it’s not impossible. 

The main barrier to adopting this multiverse approach to data, she noted, was not the extra work but the entrenched belief among researchers that there is a best way to analyze data. 

I hope you read this paper and think about it every time you read an observational study that finds a positive or negative association between two things. Ask: What if the researchers were as careful as Dr. Zeraatkar and colleagues and did multiple different analyses? Would the finding hold up to a series of plausible analytic choices? 

Nutritional epidemiology would benefit greatly from this approach. But so would any observational study of an exposure and outcome. I suspect that the number of “positive” associations would diminish. And that would not be a bad thing.

 

Dr. Mandrola, a clinical electrophysiologist at Baptist Medical Associates, Louisville, Kentucky, disclosed no relevant financial relationships.

A version of this article appeared on Medscape.com.

Observational studies on red meat consumption and lifespan are prime examples of attempts to find signal in a sea of noise. 

Randomized controlled trials are the best way to sort cause from mere correlation. But these are not possible in most matters of food consumption. So, we look back and observe groups with different exposures.

My most frequent complaint about these nonrandom comparison studies has been the chance that the two groups differ in important ways, and it’s these differences — not the food in question — that account for the disparate outcomes.

But selection biases are only one issue. There is also the matter of analytic flexibility. Observational studies are born from large databases. Researchers have many choices in how to analyze all these data.

A few years ago, Brian Nosek, PhD, and colleagues elegantly showed that analytic choices can affect results. His Many Analysts, One Data Set study had little uptake in the medical community, perhaps because he studied a social science question.
 

Multiple Ways to Slice the Data

Recently, a group from McMaster University, led by Dena Zeraatkar, PhD, has confirmed the analytic choices problem, using the question of red meat consumption and mortality. 

Their idea was simple: Because there are many plausible and defensible ways to analyze a dataset, we should not choose one method; rather, we should choose thousands, combine the results, and see where the truth lies. 

You might wonder how there could be thousands of ways to analyze a dataset. I surely did. 

The answer stems from the choices that researchers face. For instance, there is the selection of eligible participants, the choice of analytic model (logistic, Poisson, etc.), and covariates for which to adjust. Think exponents when combining possible choices.

Dr. Zeraatkar and colleagues are research methodologists, so, sadly, they are comfortable with the clunky name of this approach: specification curve analysis. Don’t be deterred. It means that they analyze the data in thousands of ways using computers. Each way is a specification. In the end, the specifications give rise to a curve of hazard ratios for red meat and mortality. Another name for this approach is multiverse analysis.

For their paper in the Journal of Clinical Epidemiology, aptly named “Grilling the Data,” they didn’t just conjure up the many analytic ways to study the red meat–mortality question. Instead, they used a published systematic review of 15 studies on unprocessed red meat and early mortality. The studies included in this review reported 70 unique ways to analyze the association. 
 

Is Red Meat Good or Bad?

Their first finding was that this analysis yielded widely disparate effect estimates, from 0.63 (reduced risk for early death) to 2.31 (a higher risk). The median hazard ratio was 1.14 with an interquartile range (IQR) of 1.02-1.23. One might conclude from this that eating red meat is associated with a slightly higher risk for early mortality. 

Their second step was to calculate how many ways (specifications) there were to analyze the data by totaling all possible combinations of choices in the 70 ways found in the systematic review. 

They calculated a total of 10 quadrillion possible unique analyses. A quadrillion is 1 with 15 zeros. Computing power cannot handle that amount of analyses yet. So, they generated 20 random unique combinations of covariates, which narrowed the number of analyses to about 1400. About 200 of these were excluded due to implausibly wide confidence intervals. 

Voilà. They now had about 1200 different ways to analyze a dataset; they chose an NHANES longitudinal cohort study from 2007-2014. They deemed each of the more than 1200 approaches plausible because they were derived from peer-reviewed papers written by experts in epidemiology. 
 

Specification Curve Analyses Results 

Each analysis (or specification) yielded a hazard ratio for red meat exposure and death.

• The median HR was 0.94 (IQR, 0.83-1.05) for the effect of red meat on all-cause mortality — ie, not significant.
• The range of hazard ratios was large. They went from 0.51 — a 49% reduced risk for early mortality — to 1.75: a 75% increase in early mortality.
• Among all analyses, 36% yielded hazard ratios above 1.0 and 64% less than 1.0.
• As for statistical significance, defined as P ≤.05, only 4% (or 48 specifications) met this threshold. Zeraatkar reminded me that this is what you’d expect if unprocessed red meat has no effect on longevity.
• Of the 48 analyses deemed statistically significant, 40 indicated that red meat consumption reduced early death and eight indicated that eating red meat led to higher mortality.
• Nearly half the analyses yielded unexciting point estimates, with hazard ratios between 0.90 and 1.10.

Paradigm Changing 

As a user of evidence, I find this a potentially paradigm-changing study. Observational studies far outnumber randomized trials. For many medical questions, observational data are all we have. 

Now think about every observational study published. The authors tell you — post hoc — which method they used to analyze the data. The key point is that it is one method. 

Dr. Zeraatkar and colleagues have shown that there are thousands of plausible ways to analyze the data, and this can lead to very different findings. In the specific question of red meat and mortality, their many analyses yielded a null result. 

Now imagine other cases where the researchers did many analyses of a dataset and chose to publish only the significant ones. Observational studies are rarely preregistered, so a reader cannot know how a result would vary depending on analytic choices. A specification curve analysis of a dataset provides a much broader picture. In the case of red meat, you see some significant results, but the vast majority hover around null. 

What about the difficulty in analyzing a dataset 1000 different ways? Dr. Zeraatkar told me that it is harder than just choosing one method, but it’s not impossible. 

The main barrier to adopting this multiverse approach to data, she noted, was not the extra work but the entrenched belief among researchers that there is a best way to analyze data. 

I hope you read this paper and think about it every time you read an observational study that finds a positive or negative association between two things. Ask: What if the researchers were as careful as Dr. Zeraatkar and colleagues and did multiple different analyses? Would the finding hold up to a series of plausible analytic choices? 

Nutritional epidemiology would benefit greatly from this approach. But so would any observational study of an exposure and outcome. I suspect that the number of “positive” associations would diminish. And that would not be a bad thing.

 

Dr. Mandrola, a clinical electrophysiologist at Baptist Medical Associates, Louisville, Kentucky, disclosed no relevant financial relationships.

A version of this article appeared on Medscape.com.

Observational studies on red meat consumption and lifespan are prime examples of attempts to find signal in a sea of noise. 

Randomized controlled trials are the best way to sort cause from mere correlation. But these are not possible in most matters of food consumption. So, we look back and observe groups with different exposures.

My most frequent complaint about these nonrandom comparison studies has been the chance that the two groups differ in important ways, and it’s these differences — not the food in question — that account for the disparate outcomes.

But selection biases are only one issue. There is also the matter of analytic flexibility. Observational studies are born from large databases. Researchers have many choices in how to analyze all these data.

A few years ago, Brian Nosek, PhD, and colleagues elegantly showed that analytic choices can affect results. His Many Analysts, One Data Set study had little uptake in the medical community, perhaps because he studied a social science question.
 

Multiple Ways to Slice the Data

Recently, a group from McMaster University, led by Dena Zeraatkar, PhD, has confirmed the analytic choices problem, using the question of red meat consumption and mortality. 

Their idea was simple: Because there are many plausible and defensible ways to analyze a dataset, we should not choose one method; rather, we should choose thousands, combine the results, and see where the truth lies. 

You might wonder how there could be thousands of ways to analyze a dataset. I surely did. 

The answer stems from the choices that researchers face. For instance, there is the selection of eligible participants, the choice of analytic model (logistic, Poisson, etc.), and covariates for which to adjust. Think exponents when combining possible choices.

Dr. Zeraatkar and colleagues are research methodologists, so, sadly, they are comfortable with the clunky name of this approach: specification curve analysis. Don’t be deterred. It means that they analyze the data in thousands of ways using computers. Each way is a specification. In the end, the specifications give rise to a curve of hazard ratios for red meat and mortality. Another name for this approach is multiverse analysis.

For their paper in the Journal of Clinical Epidemiology, aptly named “Grilling the Data,” they didn’t just conjure up the many analytic ways to study the red meat–mortality question. Instead, they used a published systematic review of 15 studies on unprocessed red meat and early mortality. The studies included in this review reported 70 unique ways to analyze the association. 
 

Is Red Meat Good or Bad?

Their first finding was that this analysis yielded widely disparate effect estimates, from 0.63 (reduced risk for early death) to 2.31 (a higher risk). The median hazard ratio was 1.14 with an interquartile range (IQR) of 1.02-1.23. One might conclude from this that eating red meat is associated with a slightly higher risk for early mortality. 

Their second step was to calculate how many ways (specifications) there were to analyze the data by totaling all possible combinations of choices in the 70 ways found in the systematic review. 

They calculated a total of 10 quadrillion possible unique analyses. A quadrillion is 1 with 15 zeros. Computing power cannot handle that amount of analyses yet. So, they generated 20 random unique combinations of covariates, which narrowed the number of analyses to about 1400. About 200 of these were excluded due to implausibly wide confidence intervals. 

Voilà. They now had about 1200 different ways to analyze a dataset; they chose an NHANES longitudinal cohort study from 2007-2014. They deemed each of the more than 1200 approaches plausible because they were derived from peer-reviewed papers written by experts in epidemiology. 
 

Specification Curve Analyses Results 

Each analysis (or specification) yielded a hazard ratio for red meat exposure and death.

• The median HR was 0.94 (IQR, 0.83-1.05) for the effect of red meat on all-cause mortality — ie, not significant.
• The range of hazard ratios was large. They went from 0.51 — a 49% reduced risk for early mortality — to 1.75: a 75% increase in early mortality.
• Among all analyses, 36% yielded hazard ratios above 1.0 and 64% less than 1.0.
• As for statistical significance, defined as P ≤.05, only 4% (or 48 specifications) met this threshold. Zeraatkar reminded me that this is what you’d expect if unprocessed red meat has no effect on longevity.
• Of the 48 analyses deemed statistically significant, 40 indicated that red meat consumption reduced early death and eight indicated that eating red meat led to higher mortality.
• Nearly half the analyses yielded unexciting point estimates, with hazard ratios between 0.90 and 1.10.

Paradigm Changing 

As a user of evidence, I find this a potentially paradigm-changing study. Observational studies far outnumber randomized trials. For many medical questions, observational data are all we have. 

Now think about every observational study published. The authors tell you — post hoc — which method they used to analyze the data. The key point is that it is one method. 

Dr. Zeraatkar and colleagues have shown that there are thousands of plausible ways to analyze the data, and this can lead to very different findings. In the specific question of red meat and mortality, their many analyses yielded a null result. 

Now imagine other cases where the researchers did many analyses of a dataset and chose to publish only the significant ones. Observational studies are rarely preregistered, so a reader cannot know how a result would vary depending on analytic choices. A specification curve analysis of a dataset provides a much broader picture. In the case of red meat, you see some significant results, but the vast majority hover around null. 

What about the difficulty in analyzing a dataset 1000 different ways? Dr. Zeraatkar told me that it is harder than just choosing one method, but it’s not impossible. 

The main barrier to adopting this multiverse approach to data, she noted, was not the extra work but the entrenched belief among researchers that there is a best way to analyze data. 

I hope you read this paper and think about it every time you read an observational study that finds a positive or negative association between two things. Ask: What if the researchers were as careful as Dr. Zeraatkar and colleagues and did multiple different analyses? Would the finding hold up to a series of plausible analytic choices? 

Nutritional epidemiology would benefit greatly from this approach. But so would any observational study of an exposure and outcome. I suspect that the number of “positive” associations would diminish. And that would not be a bad thing.

 

Dr. Mandrola, a clinical electrophysiologist at Baptist Medical Associates, Louisville, Kentucky, disclosed no relevant financial relationships.

A version of this article appeared on Medscape.com.

Physicians are leaving healthcare in droves, “not because they don’t want to practice ... but because the system is making it more and more difficult for them to care for their patients,” Bruce Scott, MD, president-elect of the American Medical Association (AMA), said at a press conference May 9 at the National Rural Health Association’s Annual Conference in New Orleans. 

He said that shrinking reimbursement rates and excessive administrative tasks are pushing doctors out of the workforce, exacerbating physician shortages in rural locations where 46 million Americans live. 

Rural areas have about one tenth of the specialists that urban areas do, and 65% of rural communities do not have enough primary care doctors, according to federal data. A recent Centers for Disease Control and Prevention report found that people living in rural areas are more likely to die early from preventable causes than their urban counterparts, said Dr. Scott. 

He said the AMA wants Congress to pass legislation to incentivize more physicians to work in rural areas and expand the number of rural and primary care residency spots. Historically, 80% of residents practice within 80 miles of where they complete residency, he said. 

Dr. Scott also hopes Congress will revise the J-1 visa rules to allow qualified international medical graduates to continue to practice in the United States. He’d like to see the pandemic telehealth flexibilities made permanent because these loosened guidelines greatly improved care access for rural areas in recent years. 

Lower Pay Affects Care in Rural, Urban Areas

Decreased reimbursements also have hit rural and urban doctors in independent practice particularly hard, Dr. Scott said. When adjusted for inflation, the current Medicare payment rate for physicians has dropped 29% since 2001, he said. Now that commercial payers tie their reimbursement models to the Medicare rate, physicians are experiencing “severe” financial stress amid rising practice costs and student loan debt. 

He shared anecdotes about how these issues have affected his private otolaryngology practice in Louisville, Kentucky, a state where more than 2 million people live in federally designated primary care professional shortage areas. 

“A major insurance company that controls over 60% of the private payer market in rural Kentucky [recently] offered us ... surgical rates less than they paid us 6 years ago,” he said. 

Dr. Scott said physicians must make difficult choices. “Do we not invest in the latest physical equipment? Do we reduce our number of employees? Do we perhaps stop accepting new Medicare patients?”

He noted that physicians now spend twice as much time on prior authorizations and other administrative tasks as they do on direct patient care. According to a 2022 AMA survey, 33% of physicians reported that the cumbersome prior authorization process led to a serious adverse event for a patient. Eighty percent reported it caused their patient to forgo treatment altogether.

Dr. Scott, who will be sworn in as AMA president in June, said he experiences the frustration daily. 

“I have to get on the phone and justify to an insurance person who rarely has gone to medical school, has never seen the patient, and heck, in my case, sometimes they can’t even say otolaryngology, much less tell me what the appropriate care is for my patient,” he said.

When asked about the impact of private equity in healthcare, Dr. Scott said there is room for all different modes of practice, but private equity could bring a unique benefit. 

“They have deeper pockets to potentially invest in telehealth technology, AI, and better computer systems,” he said. 

But, he said, some private equity-owned systems have abandoned rural areas, and in other regions they “push the physicians to move faster, see more patients, and do the things that are profit-driven.

“The key is to continue to provide ... quality medical care that is determined by an individual physician in consultation with the patient.”
 

A version of this article appeared on Medscape.com.

Physicians are leaving healthcare in droves, “not because they don’t want to practice ... but because the system is making it more and more difficult for them to care for their patients,” Bruce Scott, MD, president-elect of the American Medical Association (AMA), said at a press conference May 9 at the National Rural Health Association’s Annual Conference in New Orleans. 

He said that shrinking reimbursement rates and excessive administrative tasks are pushing doctors out of the workforce, exacerbating physician shortages in rural locations where 46 million Americans live. 

Rural areas have about one tenth of the specialists that urban areas do, and 65% of rural communities do not have enough primary care doctors, according to federal data. A recent Centers for Disease Control and Prevention report found that people living in rural areas are more likely to die early from preventable causes than their urban counterparts, said Dr. Scott. 

He said the AMA wants Congress to pass legislation to incentivize more physicians to work in rural areas and expand the number of rural and primary care residency spots. Historically, 80% of residents practice within 80 miles of where they complete residency, he said. 

Dr. Scott also hopes Congress will revise the J-1 visa rules to allow qualified international medical graduates to continue to practice in the United States. He’d like to see the pandemic telehealth flexibilities made permanent because these loosened guidelines greatly improved care access for rural areas in recent years. 

Lower Pay Affects Care in Rural, Urban Areas

Decreased reimbursements also have hit rural and urban doctors in independent practice particularly hard, Dr. Scott said. When adjusted for inflation, the current Medicare payment rate for physicians has dropped 29% since 2001, he said. Now that commercial payers tie their reimbursement models to the Medicare rate, physicians are experiencing “severe” financial stress amid rising practice costs and student loan debt. 

He shared anecdotes about how these issues have affected his private otolaryngology practice in Louisville, Kentucky, a state where more than 2 million people live in federally designated primary care professional shortage areas. 

“A major insurance company that controls over 60% of the private payer market in rural Kentucky [recently] offered us ... surgical rates less than they paid us 6 years ago,” he said. 

Dr. Scott said physicians must make difficult choices. “Do we not invest in the latest physical equipment? Do we reduce our number of employees? Do we perhaps stop accepting new Medicare patients?”

He noted that physicians now spend twice as much time on prior authorizations and other administrative tasks as they do on direct patient care. According to a 2022 AMA survey, 33% of physicians reported that the cumbersome prior authorization process led to a serious adverse event for a patient. Eighty percent reported it caused their patient to forgo treatment altogether.

Dr. Scott, who will be sworn in as AMA president in June, said he experiences the frustration daily. 

“I have to get on the phone and justify to an insurance person who rarely has gone to medical school, has never seen the patient, and heck, in my case, sometimes they can’t even say otolaryngology, much less tell me what the appropriate care is for my patient,” he said.

When asked about the impact of private equity in healthcare, Dr. Scott said there is room for all different modes of practice, but private equity could bring a unique benefit. 

“They have deeper pockets to potentially invest in telehealth technology, AI, and better computer systems,” he said. 

But, he said, some private equity-owned systems have abandoned rural areas, and in other regions they “push the physicians to move faster, see more patients, and do the things that are profit-driven.

“The key is to continue to provide ... quality medical care that is determined by an individual physician in consultation with the patient.”
 

A version of this article appeared on Medscape.com.

Physicians are leaving healthcare in droves, “not because they don’t want to practice ... but because the system is making it more and more difficult for them to care for their patients,” Bruce Scott, MD, president-elect of the American Medical Association (AMA), said at a press conference May 9 at the National Rural Health Association’s Annual Conference in New Orleans. 

He said that shrinking reimbursement rates and excessive administrative tasks are pushing doctors out of the workforce, exacerbating physician shortages in rural locations where 46 million Americans live. 

Rural areas have about one tenth of the specialists that urban areas do, and 65% of rural communities do not have enough primary care doctors, according to federal data. A recent Centers for Disease Control and Prevention report found that people living in rural areas are more likely to die early from preventable causes than their urban counterparts, said Dr. Scott. 

He said the AMA wants Congress to pass legislation to incentivize more physicians to work in rural areas and expand the number of rural and primary care residency spots. Historically, 80% of residents practice within 80 miles of where they complete residency, he said. 

Dr. Scott also hopes Congress will revise the J-1 visa rules to allow qualified international medical graduates to continue to practice in the United States. He’d like to see the pandemic telehealth flexibilities made permanent because these loosened guidelines greatly improved care access for rural areas in recent years. 

Lower Pay Affects Care in Rural, Urban Areas

Decreased reimbursements also have hit rural and urban doctors in independent practice particularly hard, Dr. Scott said. When adjusted for inflation, the current Medicare payment rate for physicians has dropped 29% since 2001, he said. Now that commercial payers tie their reimbursement models to the Medicare rate, physicians are experiencing “severe” financial stress amid rising practice costs and student loan debt. 

He shared anecdotes about how these issues have affected his private otolaryngology practice in Louisville, Kentucky, a state where more than 2 million people live in federally designated primary care professional shortage areas. 

“A major insurance company that controls over 60% of the private payer market in rural Kentucky [recently] offered us ... surgical rates less than they paid us 6 years ago,” he said. 

Dr. Scott said physicians must make difficult choices. “Do we not invest in the latest physical equipment? Do we reduce our number of employees? Do we perhaps stop accepting new Medicare patients?”

He noted that physicians now spend twice as much time on prior authorizations and other administrative tasks as they do on direct patient care. According to a 2022 AMA survey, 33% of physicians reported that the cumbersome prior authorization process led to a serious adverse event for a patient. Eighty percent reported it caused their patient to forgo treatment altogether.

Dr. Scott, who will be sworn in as AMA president in June, said he experiences the frustration daily. 

“I have to get on the phone and justify to an insurance person who rarely has gone to medical school, has never seen the patient, and heck, in my case, sometimes they can’t even say otolaryngology, much less tell me what the appropriate care is for my patient,” he said.

When asked about the impact of private equity in healthcare, Dr. Scott said there is room for all different modes of practice, but private equity could bring a unique benefit. 

“They have deeper pockets to potentially invest in telehealth technology, AI, and better computer systems,” he said. 

But, he said, some private equity-owned systems have abandoned rural areas, and in other regions they “push the physicians to move faster, see more patients, and do the things that are profit-driven.

“The key is to continue to provide ... quality medical care that is determined by an individual physician in consultation with the patient.”
 

A version of this article appeared on Medscape.com.

Like it or not, artificial intelligence (AI) is coming to medicine. For many physicians — maybe you — it’s already here.

More than a third of physicians use AI in their practice. And the vast majority of healthcare companies — 94%, according to Morgan Stanley — use some kind of AI machine learning.

“It’s incumbent on physicians, as well as physicians in training, to become familiar with at least the basics [of AI],” said internist Matthew DeCamp, MD, PhD, an associate professor in the Center for Bioethics and Humanities at the University of Colorado Anschutz Medical Campus, Aurora, Colorado.

Understanding AI can help you leverage it safely and effectively — plus “make better-informed decisions about whether or not to use it in [your] practice,” Dr. DeCamp said.

“Frankly, the people who are deciding whether to implement algorithms in our day-to-day lives are oftentimes not physicians,” noted Ravi B. Parikh, MD, an assistant professor at the University of Pennsylvania and director of augmented and artificial intelligence at the Penn Center for Cancer Care Innovation, Philadelphia. Yet, physicians are most qualified to assess an AI tool’s usefulness in clinical practice.

That brings us to the best starting place for your AI education: Your own institution. Find out what AI tools your organization is implementing — and how you can influence them.

“Getting involved with our hospital data governance is the best way not only to learn practically what these AI tools do but also to influence the development process in positive ways,” Dr. Parikh said.

From there, consider the following resources to enhance your AI knowledge.
 

Get a Lay of the Land: Free Primers

Many clinical societies and interest groups have put out AI primers, an easy way to get a broad overview of the technology. The following were recommended or developed by the experts we spoke to, and all are free:

• The American Medical Association’s (AMA’s) framework for advancing healthcare AI lays out actionable guidance. Ask three key questions, the AMA recommends: Does it work? Does it work for my patients? Does it improve health outcomes?
• The Coalition for Health AI’s Blueprint for Trustworthy AI Implementation Guidance and Assurance for Healthcare provides a high-level summary of how to evaluate AI in healthcare, plus steps for implementing it. AI systems should be useful, safe, accountable, explainable, fair, and secure, the report asserted.
• The National Academy of Medicine’s draft code of conduct for AI in healthcare proposes core principles and commitments. These “reflect simple guideposts to guide and gauge behavior in a complex system and provide a starting point for real-time decision-making,” the report said.
• Health AI Partnership — a collaboration of Duke Health and Microsoft — outlines eight key decision points to consider at any stage of AI implementation, whether you’re still planning how to use it or you’ve started but want to improve it. The site also provides a breakdown of standards by regulatory agencies, organizations, and oversight bodies — so you can make sure your practices align with their guidance.

Make the Most of Conferences

Next time you’re at a conference, check the agenda for sessions on AI. “For someone who’s interested in this, I would be looking for content in my next national meeting because, undoubtedly, it’s going to be there,” said Dr. DeCamp. In a fast-moving field like AI, it’s a great way to get fresh, up-to-the-moment insights.

Listen to This Podcast

The New England Journal of Medicine’s free monthly podcast AI Grand Rounds is made for researchers and clinicians. Available on Apple, Spotify, and YouTube, the pod is good for “someone who’s looking to see both where the field is going [and to hear] a retrospective on big-name papers,” said Dr. Parikh . Episodes run for about an hour.

To learn about the challenges of applying AI to biology: Listen to Daphne Koller, PhD, founder of AI-driven drug discovery and development company insitro. For insights on the potential of AI in medicine, tune into the one with Eric Horvitz, MD, PhD, Microsoft’s chief scientific officer.
 

Consider a Class

Look for courses that focus on AI applications in clinical practice rather than a deep dive into theory. (You need to understand how these tools will influence your work, not the intricacies of large language model development.) Be wary of corporate-funded training that centers on one product , which could present conflicts of interest, said Dr. DeCamp. See the chart for courses that meet these criteria.

A version of this article appeared on Medscape.com.

Like it or not, artificial intelligence (AI) is coming to medicine. For many physicians — maybe you — it’s already here.

More than a third of physicians use AI in their practice. And the vast majority of healthcare companies — 94%, according to Morgan Stanley — use some kind of AI machine learning.

“It’s incumbent on physicians, as well as physicians in training, to become familiar with at least the basics [of AI],” said internist Matthew DeCamp, MD, PhD, an associate professor in the Center for Bioethics and Humanities at the University of Colorado Anschutz Medical Campus, Aurora, Colorado.

Understanding AI can help you leverage it safely and effectively — plus “make better-informed decisions about whether or not to use it in [your] practice,” Dr. DeCamp said.

“Frankly, the people who are deciding whether to implement algorithms in our day-to-day lives are oftentimes not physicians,” noted Ravi B. Parikh, MD, an assistant professor at the University of Pennsylvania and director of augmented and artificial intelligence at the Penn Center for Cancer Care Innovation, Philadelphia. Yet, physicians are most qualified to assess an AI tool’s usefulness in clinical practice.

That brings us to the best starting place for your AI education: Your own institution. Find out what AI tools your organization is implementing — and how you can influence them.

“Getting involved with our hospital data governance is the best way not only to learn practically what these AI tools do but also to influence the development process in positive ways,” Dr. Parikh said.

From there, consider the following resources to enhance your AI knowledge.
 

Get a Lay of the Land: Free Primers

Many clinical societies and interest groups have put out AI primers, an easy way to get a broad overview of the technology. The following were recommended or developed by the experts we spoke to, and all are free:

• The American Medical Association’s (AMA’s) framework for advancing healthcare AI lays out actionable guidance. Ask three key questions, the AMA recommends: Does it work? Does it work for my patients? Does it improve health outcomes?
• The Coalition for Health AI’s Blueprint for Trustworthy AI Implementation Guidance and Assurance for Healthcare provides a high-level summary of how to evaluate AI in healthcare, plus steps for implementing it. AI systems should be useful, safe, accountable, explainable, fair, and secure, the report asserted.
• The National Academy of Medicine’s draft code of conduct for AI in healthcare proposes core principles and commitments. These “reflect simple guideposts to guide and gauge behavior in a complex system and provide a starting point for real-time decision-making,” the report said.
• Health AI Partnership — a collaboration of Duke Health and Microsoft — outlines eight key decision points to consider at any stage of AI implementation, whether you’re still planning how to use it or you’ve started but want to improve it. The site also provides a breakdown of standards by regulatory agencies, organizations, and oversight bodies — so you can make sure your practices align with their guidance.

Make the Most of Conferences

Next time you’re at a conference, check the agenda for sessions on AI. “For someone who’s interested in this, I would be looking for content in my next national meeting because, undoubtedly, it’s going to be there,” said Dr. DeCamp. In a fast-moving field like AI, it’s a great way to get fresh, up-to-the-moment insights.

Listen to This Podcast

The New England Journal of Medicine’s free monthly podcast AI Grand Rounds is made for researchers and clinicians. Available on Apple, Spotify, and YouTube, the pod is good for “someone who’s looking to see both where the field is going [and to hear] a retrospective on big-name papers,” said Dr. Parikh . Episodes run for about an hour.

To learn about the challenges of applying AI to biology: Listen to Daphne Koller, PhD, founder of AI-driven drug discovery and development company insitro. For insights on the potential of AI in medicine, tune into the one with Eric Horvitz, MD, PhD, Microsoft’s chief scientific officer.
 

Consider a Class

Look for courses that focus on AI applications in clinical practice rather than a deep dive into theory. (You need to understand how these tools will influence your work, not the intricacies of large language model development.) Be wary of corporate-funded training that centers on one product , which could present conflicts of interest, said Dr. DeCamp. See the chart for courses that meet these criteria.

A version of this article appeared on Medscape.com.

Like it or not, artificial intelligence (AI) is coming to medicine. For many physicians — maybe you — it’s already here.

More than a third of physicians use AI in their practice. And the vast majority of healthcare companies — 94%, according to Morgan Stanley — use some kind of AI machine learning.

“It’s incumbent on physicians, as well as physicians in training, to become familiar with at least the basics [of AI],” said internist Matthew DeCamp, MD, PhD, an associate professor in the Center for Bioethics and Humanities at the University of Colorado Anschutz Medical Campus, Aurora, Colorado.

Understanding AI can help you leverage it safely and effectively — plus “make better-informed decisions about whether or not to use it in [your] practice,” Dr. DeCamp said.

“Frankly, the people who are deciding whether to implement algorithms in our day-to-day lives are oftentimes not physicians,” noted Ravi B. Parikh, MD, an assistant professor at the University of Pennsylvania and director of augmented and artificial intelligence at the Penn Center for Cancer Care Innovation, Philadelphia. Yet, physicians are most qualified to assess an AI tool’s usefulness in clinical practice.

That brings us to the best starting place for your AI education: Your own institution. Find out what AI tools your organization is implementing — and how you can influence them.

“Getting involved with our hospital data governance is the best way not only to learn practically what these AI tools do but also to influence the development process in positive ways,” Dr. Parikh said.

From there, consider the following resources to enhance your AI knowledge.
 

Get a Lay of the Land: Free Primers

Many clinical societies and interest groups have put out AI primers, an easy way to get a broad overview of the technology. The following were recommended or developed by the experts we spoke to, and all are free:

• The American Medical Association’s (AMA’s) framework for advancing healthcare AI lays out actionable guidance. Ask three key questions, the AMA recommends: Does it work? Does it work for my patients? Does it improve health outcomes?
• The Coalition for Health AI’s Blueprint for Trustworthy AI Implementation Guidance and Assurance for Healthcare provides a high-level summary of how to evaluate AI in healthcare, plus steps for implementing it. AI systems should be useful, safe, accountable, explainable, fair, and secure, the report asserted.
• The National Academy of Medicine’s draft code of conduct for AI in healthcare proposes core principles and commitments. These “reflect simple guideposts to guide and gauge behavior in a complex system and provide a starting point for real-time decision-making,” the report said.
• Health AI Partnership — a collaboration of Duke Health and Microsoft — outlines eight key decision points to consider at any stage of AI implementation, whether you’re still planning how to use it or you’ve started but want to improve it. The site also provides a breakdown of standards by regulatory agencies, organizations, and oversight bodies — so you can make sure your practices align with their guidance.

Make the Most of Conferences

Next time you’re at a conference, check the agenda for sessions on AI. “For someone who’s interested in this, I would be looking for content in my next national meeting because, undoubtedly, it’s going to be there,” said Dr. DeCamp. In a fast-moving field like AI, it’s a great way to get fresh, up-to-the-moment insights.

Listen to This Podcast

The New England Journal of Medicine’s free monthly podcast AI Grand Rounds is made for researchers and clinicians. Available on Apple, Spotify, and YouTube, the pod is good for “someone who’s looking to see both where the field is going [and to hear] a retrospective on big-name papers,” said Dr. Parikh . Episodes run for about an hour.

To learn about the challenges of applying AI to biology: Listen to Daphne Koller, PhD, founder of AI-driven drug discovery and development company insitro. For insights on the potential of AI in medicine, tune into the one with Eric Horvitz, MD, PhD, Microsoft’s chief scientific officer.
 

Consider a Class

Look for courses that focus on AI applications in clinical practice rather than a deep dive into theory. (You need to understand how these tools will influence your work, not the intricacies of large language model development.) Be wary of corporate-funded training that centers on one product , which could present conflicts of interest, said Dr. DeCamp. See the chart for courses that meet these criteria.

A version of this article appeared on Medscape.com.

TOPLINE:

Nearly 90% of adults were at risk of developing cardiovascular-kidney-metabolic (CKM) syndrome between 2011 and 2020, according to new research published in JAMA.

METHODOLOGY:

• In 2023, the American Heart Association defined  to acknowledge how heart and kidney diseases, diabetes, and obesity interact and are increasingly co-occurring conditions.
• Researchers used data from the National Health and Nutrition Examination Survey between 2011 and 2020.
• More than 10,000 adults over age 20 years were included; all of them received a physical and fasting laboratory measurements and self-reported their cardiovascular disease (CVD) status.
• Researchers created categories for risk, ranging from 0 (no risk factors) to 4, using factors such as kidney disease, obesity, and hypertension.

TAKEAWAY:

• Nearly 90% of participants met the criteria for having a stage of the CKM syndrome, with rates remaining steady throughout the study period.Almost half of people met the criteria for stage 2 (having metabolic risk factors like hypertension or moderate- to high-risk chronic kidney disease).
• 14.6% met the criteria for advanced stage 3 (very high-risk chronic kidney disease or a high risk for 10-year CVD) and stage 4 CKM syndrome (established CVD) combined.
• Men, adults over age 65 years, and Black individuals were at a greater risk for advanced stages of the CKM syndrome.
• Almost half of people met the criteria for stage 2 (having metabolic risk factors like hypertension or moderate- to high-risk chronic kidney disease).
   
• 14.6% met the criteria for advanced stage 3 (very high-risk chronic kidney disease or a high risk for 10-year CVD) and stage 4 CKM syndrome (established CVD) combined.
   
• Men, adults over age 65 years, and Black individuals were at a greater risk for advanced stages of the CKM syndrome.

IN PRACTICE:

“Equitable health care approaches prioritizing CKM health are urgently needed,” the study authors wrote.

SOURCE:

The study was led by Muthiah Vaduganathan, MD, MPH, cardiologist and researcher at Brigham and Women’s Hospital, Harvard Medical School, Boston.

LIMITATIONS: 

Established CVD statuses were self-reported. Some data that would indicate advanced CKM stages were not available (eg, cardiac biomarkers, echocardiography, and coronary angiography), which may have led to an underestimation of rates.

DISCLOSURES:

One author received grants from Bristol Myers Squibb–Pfizer outside the submitted work. Dr. Vaduganathan received grants from and was an adviser and committee trial member for various pharmaceutical companies outside the submitted work. The authors reported no other disclosures.

A version of this article appeared on Medscape.com.

TOPLINE:

Nearly 90% of adults were at risk of developing cardiovascular-kidney-metabolic (CKM) syndrome between 2011 and 2020, according to new research published in JAMA.

METHODOLOGY:

• In 2023, the American Heart Association defined  to acknowledge how heart and kidney diseases, diabetes, and obesity interact and are increasingly co-occurring conditions.
• Researchers used data from the National Health and Nutrition Examination Survey between 2011 and 2020.
• More than 10,000 adults over age 20 years were included; all of them received a physical and fasting laboratory measurements and self-reported their cardiovascular disease (CVD) status.
• Researchers created categories for risk, ranging from 0 (no risk factors) to 4, using factors such as kidney disease, obesity, and hypertension.

TAKEAWAY:

• Nearly 90% of participants met the criteria for having a stage of the CKM syndrome, with rates remaining steady throughout the study period.Almost half of people met the criteria for stage 2 (having metabolic risk factors like hypertension or moderate- to high-risk chronic kidney disease).
• 14.6% met the criteria for advanced stage 3 (very high-risk chronic kidney disease or a high risk for 10-year CVD) and stage 4 CKM syndrome (established CVD) combined.
• Men, adults over age 65 years, and Black individuals were at a greater risk for advanced stages of the CKM syndrome.
• Almost half of people met the criteria for stage 2 (having metabolic risk factors like hypertension or moderate- to high-risk chronic kidney disease).
   
• 14.6% met the criteria for advanced stage 3 (very high-risk chronic kidney disease or a high risk for 10-year CVD) and stage 4 CKM syndrome (established CVD) combined.
   
• Men, adults over age 65 years, and Black individuals were at a greater risk for advanced stages of the CKM syndrome.

IN PRACTICE:

“Equitable health care approaches prioritizing CKM health are urgently needed,” the study authors wrote.

SOURCE:

The study was led by Muthiah Vaduganathan, MD, MPH, cardiologist and researcher at Brigham and Women’s Hospital, Harvard Medical School, Boston.

LIMITATIONS: 

Established CVD statuses were self-reported. Some data that would indicate advanced CKM stages were not available (eg, cardiac biomarkers, echocardiography, and coronary angiography), which may have led to an underestimation of rates.

DISCLOSURES:

One author received grants from Bristol Myers Squibb–Pfizer outside the submitted work. Dr. Vaduganathan received grants from and was an adviser and committee trial member for various pharmaceutical companies outside the submitted work. The authors reported no other disclosures.

A version of this article appeared on Medscape.com.

TOPLINE:

Nearly 90% of adults were at risk of developing cardiovascular-kidney-metabolic (CKM) syndrome between 2011 and 2020, according to new research published in JAMA.

METHODOLOGY:

• In 2023, the American Heart Association defined  to acknowledge how heart and kidney diseases, diabetes, and obesity interact and are increasingly co-occurring conditions.
• Researchers used data from the National Health and Nutrition Examination Survey between 2011 and 2020.
• More than 10,000 adults over age 20 years were included; all of them received a physical and fasting laboratory measurements and self-reported their cardiovascular disease (CVD) status.
• Researchers created categories for risk, ranging from 0 (no risk factors) to 4, using factors such as kidney disease, obesity, and hypertension.

TAKEAWAY:

• Nearly 90% of participants met the criteria for having a stage of the CKM syndrome, with rates remaining steady throughout the study period.Almost half of people met the criteria for stage 2 (having metabolic risk factors like hypertension or moderate- to high-risk chronic kidney disease).
• 14.6% met the criteria for advanced stage 3 (very high-risk chronic kidney disease or a high risk for 10-year CVD) and stage 4 CKM syndrome (established CVD) combined.
• Men, adults over age 65 years, and Black individuals were at a greater risk for advanced stages of the CKM syndrome.
• Almost half of people met the criteria for stage 2 (having metabolic risk factors like hypertension or moderate- to high-risk chronic kidney disease).
   
• 14.6% met the criteria for advanced stage 3 (very high-risk chronic kidney disease or a high risk for 10-year CVD) and stage 4 CKM syndrome (established CVD) combined.
   
• Men, adults over age 65 years, and Black individuals were at a greater risk for advanced stages of the CKM syndrome.

IN PRACTICE:

“Equitable health care approaches prioritizing CKM health are urgently needed,” the study authors wrote.

SOURCE:

The study was led by Muthiah Vaduganathan, MD, MPH, cardiologist and researcher at Brigham and Women’s Hospital, Harvard Medical School, Boston.

LIMITATIONS: 

Established CVD statuses were self-reported. Some data that would indicate advanced CKM stages were not available (eg, cardiac biomarkers, echocardiography, and coronary angiography), which may have led to an underestimation of rates.

DISCLOSURES:

One author received grants from Bristol Myers Squibb–Pfizer outside the submitted work. Dr. Vaduganathan received grants from and was an adviser and committee trial member for various pharmaceutical companies outside the submitted work. The authors reported no other disclosures.

A version of this article appeared on Medscape.com.

A plastic surgeon broke federal law when he restricted patients from posting negative reviews by requiring them to sign nondisclosure agreements before they received care, a district judge has ruled.

Seattle-based surgeon Javad Sajan, MD, ran afoul of the Consumer Review Fairness Act (CRFA) by requiring more than 10,000 patients to sign the agreements, according to a recent decision by US District Judge Ricardo S. Martinez. The law protects consumers’ rights to post truthful reviews about businesses. 

Judge Martinez wrote that the terms of Dr. Sajan’s nondisclosure agreements “clearly include language prohibiting or restricting patients from posting negative reviews,” in violation of CRFA. Penalties for the offense will be determined at a September trial. 

This news organization contacted Dr. Sajan’s office and his attorney for comment but did not get a response. 

The decision is the latest development in an ongoing legal dispute between Dr. Sajan and the State of Washington over whether the surgeon’s efforts to limit negative online reviews were illegal. 

Beginning in 2017, Dr. Sajan and his practice, Allure Esthetic, introduced agreements that “forced” patients to contact the business directly if they had concerns rather than post a negative review, according to a 2022 lawsuit against Dr. Sajan filed by Washington Attorney General Robert Ferguson. 

“Online reviews are often the first stop when consumers are determining who to trust,” Mr. Ferguson said in a statement. “That’s especially critical when those services deal with a patient’s health and safety. We will take action against those who illegally stop Washingtonians from sharing reviews with the public.”

If patients posted negative reviews, the clinic, in some cases, threatened litigation, according to the complaint. In other cases, patients were allegedly offered money and free services in exchange for taking the reviews down. Patients who accepted cash or services were required to sign a second agreement forbidding them from posting future negative reviews and imposing a $250,000 penalty for failure to comply, according to court documents. 

In court documents, Dr. Sajan’s attorneys argued the agreements did not violate CRFA because patients had the opportunity to modify the language or decline signing them, which hundreds did. The CRFA requires Mr. Ferguson to prove that consumers lacked a meaningful opportunity to negotiate the terms, attorneys for Dr. Sajan argued in court records. 

But Judge Martinez wrote that the patients who declined to sign the agreements or changed the terms represented only a “tiny fraction” of the affected patients.

The agreement language restricts patients from speaking out by forcing dissatisfied patients to work with Allure until a resolution is reached, Judge Martinez noted in his decision. “At the very least, this would delay patients from posting such reviews and force patients to interact in some way with Allure, and it certainly appears to prohibit posting reviews until Allure agrees to some kind of favorable resolution.”
 

Surgeon Posted Fake Positive Reviews to Counteract Bad Reviews, AG Says

Employee accounts in court documents describe a physician fixated on reviews who went to great lengths to ensure positive reviews about his work outweighed the negative. 

Former employees said they were instructed to track down patients who left negative reviews and either “threaten” them to take the posts down or offer them “money” or other things, according to Mr. Ferguson’s lawsuit. If patients could not be identified, the practice would file a defamation lawsuit against the anonymous person who posted the review and use litigation to subpoena the website for the reviewer’s IP address in order to identify them, according to court documents. 

Employees testified they had regular meetings to review current negative reviews and discuss what steps they were taking to get them removed. At team meetings, in-house counsel would regularly present an Excel spreadsheet with updates on progress in getting patients to remove negative reviews, according to court documents. 

In addition to restricting negative reviews, Mr. Ferguson accuses Dr. Sajan of posting fake positive reviews and “buying” thousands of fake followers on social media. 

At Dr. Sajan’s direction, employees created Gmail accounts using stock photos for their profile pictures and used the accounts to post fake reviews of Allure Esthetic and Dr. Sajan, according to the complaint. The practice also used members of an online forum called BlackHatWorld.com to create fake email accounts and to post fake reviews, the attorney general alleges. Many of the fake positive reviews, including the fake Google reviews, still appear on online review sites today, the attorney general contends. 

Dr. Sajan and his practice also allegedly manipulated social media to appear more popular. Mr. Ferguson claims that Dr. Sajan instructed his former web designer to purchase 60,000 followers through a vendor on BlackHatWorld.com. Most of Dr. Sajan’s current Instagram followers are not real, according to Mr. Ferguson. 

The practice also used a social media bot tool to buy thousands of fake likes on Instagram, YouTube, and other social media, according to court documents. 

In addition, Dr. Sajan and his practice are accused of significantly altering “before and after” photos of patients and using fake email accounts to allow the clinic to take skincare rebates intended for patients.

All of these practices violated HIPAA, the state Consumer Protection Act (CPA) and the federal CRFA, according to Mr. Ferguson. 
 

Surgeon Claims Competitor Behind Allegations 

Attorneys for Dr. Sajan argue a competitor is behind the accusations and that other regulatory entities determined the practice did nothing wrong. 

The competitor, a Seattle-based plastic surgeon, filed numerous complaints about Dr. Sajan to the Washington Medical Commission (WMC), according to court documents. The medical commission reviewed the third agreement and closed its investigation, finding that if the allegations were true, “no violation of law occurred,” court records show. 

“Defendants relied upon this closing code from the WMC that the (non-disclosure) forms were lawful,” Dr. Sajan’s attorneys wrote in court documents.

The US Department of Health & Human Services Office for Civil Rights (OCR) also reviewed and audited Dr. Sajan’s use of the agreements, his attorneys noted. In a notice from OCR included in court exhibits, the agency wrote that all matters at issue have now been resolved through the practice’s voluntary compliance actions and that it was closing its investigation. 

Attorneys for Dr. Sajan accuse Mr. Ferguson and state investigators of withholding the full extent of the competitor’s involvement in their investigation and failing to identify the competitor in written discovery or any of its initial disclosures. Dr. Sajan and his team discovered that the competitor was a source of key information through public records requests, according to court documents. 

The remaining claims against Dr. Sajan will be addressed at trial, set for September 9, 2024. 
 

A version of this article appeared on Medscape.com.

A plastic surgeon broke federal law when he restricted patients from posting negative reviews by requiring them to sign nondisclosure agreements before they received care, a district judge has ruled.

Seattle-based surgeon Javad Sajan, MD, ran afoul of the Consumer Review Fairness Act (CRFA) by requiring more than 10,000 patients to sign the agreements, according to a recent decision by US District Judge Ricardo S. Martinez. The law protects consumers’ rights to post truthful reviews about businesses. 

Judge Martinez wrote that the terms of Dr. Sajan’s nondisclosure agreements “clearly include language prohibiting or restricting patients from posting negative reviews,” in violation of CRFA. Penalties for the offense will be determined at a September trial. 

This news organization contacted Dr. Sajan’s office and his attorney for comment but did not get a response. 

The decision is the latest development in an ongoing legal dispute between Dr. Sajan and the State of Washington over whether the surgeon’s efforts to limit negative online reviews were illegal. 

Beginning in 2017, Dr. Sajan and his practice, Allure Esthetic, introduced agreements that “forced” patients to contact the business directly if they had concerns rather than post a negative review, according to a 2022 lawsuit against Dr. Sajan filed by Washington Attorney General Robert Ferguson. 

“Online reviews are often the first stop when consumers are determining who to trust,” Mr. Ferguson said in a statement. “That’s especially critical when those services deal with a patient’s health and safety. We will take action against those who illegally stop Washingtonians from sharing reviews with the public.”

If patients posted negative reviews, the clinic, in some cases, threatened litigation, according to the complaint. In other cases, patients were allegedly offered money and free services in exchange for taking the reviews down. Patients who accepted cash or services were required to sign a second agreement forbidding them from posting future negative reviews and imposing a $250,000 penalty for failure to comply, according to court documents. 

In court documents, Dr. Sajan’s attorneys argued the agreements did not violate CRFA because patients had the opportunity to modify the language or decline signing them, which hundreds did. The CRFA requires Mr. Ferguson to prove that consumers lacked a meaningful opportunity to negotiate the terms, attorneys for Dr. Sajan argued in court records. 

But Judge Martinez wrote that the patients who declined to sign the agreements or changed the terms represented only a “tiny fraction” of the affected patients.

The agreement language restricts patients from speaking out by forcing dissatisfied patients to work with Allure until a resolution is reached, Judge Martinez noted in his decision. “At the very least, this would delay patients from posting such reviews and force patients to interact in some way with Allure, and it certainly appears to prohibit posting reviews until Allure agrees to some kind of favorable resolution.”
 

Surgeon Posted Fake Positive Reviews to Counteract Bad Reviews, AG Says

Employee accounts in court documents describe a physician fixated on reviews who went to great lengths to ensure positive reviews about his work outweighed the negative. 

Former employees said they were instructed to track down patients who left negative reviews and either “threaten” them to take the posts down or offer them “money” or other things, according to Mr. Ferguson’s lawsuit. If patients could not be identified, the practice would file a defamation lawsuit against the anonymous person who posted the review and use litigation to subpoena the website for the reviewer’s IP address in order to identify them, according to court documents. 

Employees testified they had regular meetings to review current negative reviews and discuss what steps they were taking to get them removed. At team meetings, in-house counsel would regularly present an Excel spreadsheet with updates on progress in getting patients to remove negative reviews, according to court documents. 

In addition to restricting negative reviews, Mr. Ferguson accuses Dr. Sajan of posting fake positive reviews and “buying” thousands of fake followers on social media. 

At Dr. Sajan’s direction, employees created Gmail accounts using stock photos for their profile pictures and used the accounts to post fake reviews of Allure Esthetic and Dr. Sajan, according to the complaint. The practice also used members of an online forum called BlackHatWorld.com to create fake email accounts and to post fake reviews, the attorney general alleges. Many of the fake positive reviews, including the fake Google reviews, still appear on online review sites today, the attorney general contends. 

Dr. Sajan and his practice also allegedly manipulated social media to appear more popular. Mr. Ferguson claims that Dr. Sajan instructed his former web designer to purchase 60,000 followers through a vendor on BlackHatWorld.com. Most of Dr. Sajan’s current Instagram followers are not real, according to Mr. Ferguson. 

The practice also used a social media bot tool to buy thousands of fake likes on Instagram, YouTube, and other social media, according to court documents. 

In addition, Dr. Sajan and his practice are accused of significantly altering “before and after” photos of patients and using fake email accounts to allow the clinic to take skincare rebates intended for patients.

All of these practices violated HIPAA, the state Consumer Protection Act (CPA) and the federal CRFA, according to Mr. Ferguson. 
 

Surgeon Claims Competitor Behind Allegations 

Attorneys for Dr. Sajan argue a competitor is behind the accusations and that other regulatory entities determined the practice did nothing wrong. 

The competitor, a Seattle-based plastic surgeon, filed numerous complaints about Dr. Sajan to the Washington Medical Commission (WMC), according to court documents. The medical commission reviewed the third agreement and closed its investigation, finding that if the allegations were true, “no violation of law occurred,” court records show. 

“Defendants relied upon this closing code from the WMC that the (non-disclosure) forms were lawful,” Dr. Sajan’s attorneys wrote in court documents.

The US Department of Health & Human Services Office for Civil Rights (OCR) also reviewed and audited Dr. Sajan’s use of the agreements, his attorneys noted. In a notice from OCR included in court exhibits, the agency wrote that all matters at issue have now been resolved through the practice’s voluntary compliance actions and that it was closing its investigation. 

Attorneys for Dr. Sajan accuse Mr. Ferguson and state investigators of withholding the full extent of the competitor’s involvement in their investigation and failing to identify the competitor in written discovery or any of its initial disclosures. Dr. Sajan and his team discovered that the competitor was a source of key information through public records requests, according to court documents. 

The remaining claims against Dr. Sajan will be addressed at trial, set for September 9, 2024. 
 

A version of this article appeared on Medscape.com.

A plastic surgeon broke federal law when he restricted patients from posting negative reviews by requiring them to sign nondisclosure agreements before they received care, a district judge has ruled.

Seattle-based surgeon Javad Sajan, MD, ran afoul of the Consumer Review Fairness Act (CRFA) by requiring more than 10,000 patients to sign the agreements, according to a recent decision by US District Judge Ricardo S. Martinez. The law protects consumers’ rights to post truthful reviews about businesses. 

Judge Martinez wrote that the terms of Dr. Sajan’s nondisclosure agreements “clearly include language prohibiting or restricting patients from posting negative reviews,” in violation of CRFA. Penalties for the offense will be determined at a September trial. 

This news organization contacted Dr. Sajan’s office and his attorney for comment but did not get a response. 

The decision is the latest development in an ongoing legal dispute between Dr. Sajan and the State of Washington over whether the surgeon’s efforts to limit negative online reviews were illegal. 

Beginning in 2017, Dr. Sajan and his practice, Allure Esthetic, introduced agreements that “forced” patients to contact the business directly if they had concerns rather than post a negative review, according to a 2022 lawsuit against Dr. Sajan filed by Washington Attorney General Robert Ferguson. 

“Online reviews are often the first stop when consumers are determining who to trust,” Mr. Ferguson said in a statement. “That’s especially critical when those services deal with a patient’s health and safety. We will take action against those who illegally stop Washingtonians from sharing reviews with the public.”

If patients posted negative reviews, the clinic, in some cases, threatened litigation, according to the complaint. In other cases, patients were allegedly offered money and free services in exchange for taking the reviews down. Patients who accepted cash or services were required to sign a second agreement forbidding them from posting future negative reviews and imposing a $250,000 penalty for failure to comply, according to court documents. 

In court documents, Dr. Sajan’s attorneys argued the agreements did not violate CRFA because patients had the opportunity to modify the language or decline signing them, which hundreds did. The CRFA requires Mr. Ferguson to prove that consumers lacked a meaningful opportunity to negotiate the terms, attorneys for Dr. Sajan argued in court records. 

But Judge Martinez wrote that the patients who declined to sign the agreements or changed the terms represented only a “tiny fraction” of the affected patients.

The agreement language restricts patients from speaking out by forcing dissatisfied patients to work with Allure until a resolution is reached, Judge Martinez noted in his decision. “At the very least, this would delay patients from posting such reviews and force patients to interact in some way with Allure, and it certainly appears to prohibit posting reviews until Allure agrees to some kind of favorable resolution.”
 

Surgeon Posted Fake Positive Reviews to Counteract Bad Reviews, AG Says

Employee accounts in court documents describe a physician fixated on reviews who went to great lengths to ensure positive reviews about his work outweighed the negative. 

Former employees said they were instructed to track down patients who left negative reviews and either “threaten” them to take the posts down or offer them “money” or other things, according to Mr. Ferguson’s lawsuit. If patients could not be identified, the practice would file a defamation lawsuit against the anonymous person who posted the review and use litigation to subpoena the website for the reviewer’s IP address in order to identify them, according to court documents. 

Employees testified they had regular meetings to review current negative reviews and discuss what steps they were taking to get them removed. At team meetings, in-house counsel would regularly present an Excel spreadsheet with updates on progress in getting patients to remove negative reviews, according to court documents. 

In addition to restricting negative reviews, Mr. Ferguson accuses Dr. Sajan of posting fake positive reviews and “buying” thousands of fake followers on social media. 

At Dr. Sajan’s direction, employees created Gmail accounts using stock photos for their profile pictures and used the accounts to post fake reviews of Allure Esthetic and Dr. Sajan, according to the complaint. The practice also used members of an online forum called BlackHatWorld.com to create fake email accounts and to post fake reviews, the attorney general alleges. Many of the fake positive reviews, including the fake Google reviews, still appear on online review sites today, the attorney general contends. 

Dr. Sajan and his practice also allegedly manipulated social media to appear more popular. Mr. Ferguson claims that Dr. Sajan instructed his former web designer to purchase 60,000 followers through a vendor on BlackHatWorld.com. Most of Dr. Sajan’s current Instagram followers are not real, according to Mr. Ferguson. 

The practice also used a social media bot tool to buy thousands of fake likes on Instagram, YouTube, and other social media, according to court documents. 

In addition, Dr. Sajan and his practice are accused of significantly altering “before and after” photos of patients and using fake email accounts to allow the clinic to take skincare rebates intended for patients.

All of these practices violated HIPAA, the state Consumer Protection Act (CPA) and the federal CRFA, according to Mr. Ferguson. 
 

Surgeon Claims Competitor Behind Allegations 

Attorneys for Dr. Sajan argue a competitor is behind the accusations and that other regulatory entities determined the practice did nothing wrong. 

The competitor, a Seattle-based plastic surgeon, filed numerous complaints about Dr. Sajan to the Washington Medical Commission (WMC), according to court documents. The medical commission reviewed the third agreement and closed its investigation, finding that if the allegations were true, “no violation of law occurred,” court records show. 

“Defendants relied upon this closing code from the WMC that the (non-disclosure) forms were lawful,” Dr. Sajan’s attorneys wrote in court documents.

The US Department of Health & Human Services Office for Civil Rights (OCR) also reviewed and audited Dr. Sajan’s use of the agreements, his attorneys noted. In a notice from OCR included in court exhibits, the agency wrote that all matters at issue have now been resolved through the practice’s voluntary compliance actions and that it was closing its investigation. 

Attorneys for Dr. Sajan accuse Mr. Ferguson and state investigators of withholding the full extent of the competitor’s involvement in their investigation and failing to identify the competitor in written discovery or any of its initial disclosures. Dr. Sajan and his team discovered that the competitor was a source of key information through public records requests, according to court documents. 

The remaining claims against Dr. Sajan will be addressed at trial, set for September 9, 2024. 
 

A version of this article appeared on Medscape.com.