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Fed Pract
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gaming
gambling
compulsive behaviors
ammunition
assault rifle
black jack
Boko Haram
bondage
child abuse
cocaine
Daech
drug paraphernalia
explosion
gun
human trafficking
ISIL
ISIS
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Islamic state
mixed martial arts
MMA
molestation
national rifle association
NRA
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pedophilia
poker
porn
pornography
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recreational drug
sex slave rings
slot machine
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Texas hold 'em
UFC
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bunges
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butt
butt fuck
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buttfucked
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cock sucker
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A peer-reviewed clinical journal serving healthcare professionals working with the Department of Veterans Affairs, the Department of Defense, and the Public Health Service.

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Higher alcohol consumption linked to early-onset CRC

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TOPLINE:

Higher levels of alcohol consumption appear to increase an individual’s risk of early-onset colorectal cancer (CRC), particularly distal colon and rectal cancers, according to a population-based study from South Korea.

METHODOLOGY:

  • The investigators retrospectively compared average daily alcohol consumption with early-onset CRC risk among nearly 5.7 million adults younger than 50 years, using data from the Korean National Health Insurance Service.
  • Alcohol consumption levels were defined as nondrinker, light (< 10 g/day or < 0.7 U.S. drinks/day), moderate (10-30 g/day for men, 10-20 g/day for women), and heavy (≥ 30 g/day or ≥ 2.1 drinks/day for men, ≥ 20 g/day or ≥ 1.4 drinks/day for women).
  • The primary outcome was incidence of early-onset CRC diagnosed before age 50. Models were adjusted for age, sex, smoking status, exercise, and income, as well as for comorbidities.

TAKEAWAY:

  • Overall, 8,314 incident early-onset CRC cases occurred during the mean follow-up period of 7.4 years.
  • Compared with light drinking, moderate and heavy drinking were associated with a significantly elevated risk of early-onset CRC (adjusted hazard ratio, 1.09 and 1.20, respectively); by sex, significant associations were found only among men.
  • Among men, heavy drinking vs. light drinking was associated with a 26% increased risk of distal colon cancer, a 17% higher risk of rectal cancer, and a 29% higher risk of unspecified colon cancer (but not proximal colon cancer).
  • Among women, moderate drinking was associated with a 47% increased risk of distal colon cancer. Among nondrinkers, there was a 14% reduced risk of rectal cancer, compared with light drinkers.

IN PRACTICE:

“This population-based study provides evidence that higher levels of alcohol consumption may increase the risk of early-onset CRC,” the investigators concluded. “[E]ffective interventions are required to discourage alcohol consumption among young people and to tailor CRC screening approaches for high-risk individuals.”

SOURCE:

The study was led by researchers at Seoul National University, South Korea. It was published online in the Journal of Clinical Oncology.

LIMITATIONS:

Study limitations include self-reported alcohol consumption. Data were missing for a higher number of male participants and younger participants, and there was a potential problem related to multiple comparisons and confounders. Only Korean individuals were included in the study, so larger studies involving various races are needed.

DISCLOSURES:

Funding was provided by grants from the Korea Health Technology R&D Project and the Ministry of Health and Welfare, Republic of Korea. No potential conflicts of interest were reported.

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

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TOPLINE:

Higher levels of alcohol consumption appear to increase an individual’s risk of early-onset colorectal cancer (CRC), particularly distal colon and rectal cancers, according to a population-based study from South Korea.

METHODOLOGY:

  • The investigators retrospectively compared average daily alcohol consumption with early-onset CRC risk among nearly 5.7 million adults younger than 50 years, using data from the Korean National Health Insurance Service.
  • Alcohol consumption levels were defined as nondrinker, light (< 10 g/day or < 0.7 U.S. drinks/day), moderate (10-30 g/day for men, 10-20 g/day for women), and heavy (≥ 30 g/day or ≥ 2.1 drinks/day for men, ≥ 20 g/day or ≥ 1.4 drinks/day for women).
  • The primary outcome was incidence of early-onset CRC diagnosed before age 50. Models were adjusted for age, sex, smoking status, exercise, and income, as well as for comorbidities.

TAKEAWAY:

  • Overall, 8,314 incident early-onset CRC cases occurred during the mean follow-up period of 7.4 years.
  • Compared with light drinking, moderate and heavy drinking were associated with a significantly elevated risk of early-onset CRC (adjusted hazard ratio, 1.09 and 1.20, respectively); by sex, significant associations were found only among men.
  • Among men, heavy drinking vs. light drinking was associated with a 26% increased risk of distal colon cancer, a 17% higher risk of rectal cancer, and a 29% higher risk of unspecified colon cancer (but not proximal colon cancer).
  • Among women, moderate drinking was associated with a 47% increased risk of distal colon cancer. Among nondrinkers, there was a 14% reduced risk of rectal cancer, compared with light drinkers.

IN PRACTICE:

“This population-based study provides evidence that higher levels of alcohol consumption may increase the risk of early-onset CRC,” the investigators concluded. “[E]ffective interventions are required to discourage alcohol consumption among young people and to tailor CRC screening approaches for high-risk individuals.”

SOURCE:

The study was led by researchers at Seoul National University, South Korea. It was published online in the Journal of Clinical Oncology.

LIMITATIONS:

Study limitations include self-reported alcohol consumption. Data were missing for a higher number of male participants and younger participants, and there was a potential problem related to multiple comparisons and confounders. Only Korean individuals were included in the study, so larger studies involving various races are needed.

DISCLOSURES:

Funding was provided by grants from the Korea Health Technology R&D Project and the Ministry of Health and Welfare, Republic of Korea. No potential conflicts of interest were reported.

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

 

TOPLINE:

Higher levels of alcohol consumption appear to increase an individual’s risk of early-onset colorectal cancer (CRC), particularly distal colon and rectal cancers, according to a population-based study from South Korea.

METHODOLOGY:

  • The investigators retrospectively compared average daily alcohol consumption with early-onset CRC risk among nearly 5.7 million adults younger than 50 years, using data from the Korean National Health Insurance Service.
  • Alcohol consumption levels were defined as nondrinker, light (< 10 g/day or < 0.7 U.S. drinks/day), moderate (10-30 g/day for men, 10-20 g/day for women), and heavy (≥ 30 g/day or ≥ 2.1 drinks/day for men, ≥ 20 g/day or ≥ 1.4 drinks/day for women).
  • The primary outcome was incidence of early-onset CRC diagnosed before age 50. Models were adjusted for age, sex, smoking status, exercise, and income, as well as for comorbidities.

TAKEAWAY:

  • Overall, 8,314 incident early-onset CRC cases occurred during the mean follow-up period of 7.4 years.
  • Compared with light drinking, moderate and heavy drinking were associated with a significantly elevated risk of early-onset CRC (adjusted hazard ratio, 1.09 and 1.20, respectively); by sex, significant associations were found only among men.
  • Among men, heavy drinking vs. light drinking was associated with a 26% increased risk of distal colon cancer, a 17% higher risk of rectal cancer, and a 29% higher risk of unspecified colon cancer (but not proximal colon cancer).
  • Among women, moderate drinking was associated with a 47% increased risk of distal colon cancer. Among nondrinkers, there was a 14% reduced risk of rectal cancer, compared with light drinkers.

IN PRACTICE:

“This population-based study provides evidence that higher levels of alcohol consumption may increase the risk of early-onset CRC,” the investigators concluded. “[E]ffective interventions are required to discourage alcohol consumption among young people and to tailor CRC screening approaches for high-risk individuals.”

SOURCE:

The study was led by researchers at Seoul National University, South Korea. It was published online in the Journal of Clinical Oncology.

LIMITATIONS:

Study limitations include self-reported alcohol consumption. Data were missing for a higher number of male participants and younger participants, and there was a potential problem related to multiple comparisons and confounders. Only Korean individuals were included in the study, so larger studies involving various races are needed.

DISCLOSURES:

Funding was provided by grants from the Korea Health Technology R&D Project and the Ministry of Health and Welfare, Republic of Korea. No potential conflicts of interest were reported.

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

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Novel tool accurately predicts suicide after self-harm

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Investigators have developed and validated a new risk calculator to help predict death by suicide in the 6-12 months after an episode of nonfatal self-harm, new research shows.

A study led by Seena Fazel, MBChB, MD, University of Oxford, England, suggests the Oxford Suicide Assessment Tool for Self-harm (OxSATS) may help guide treatment decisions and target resources to those most in need, the researchers note.

“Many tools use only simple high/low categories, whereas OxSATS includes probability scores, which align more closely with risk calculators in cardiovascular medicine, such as the Framingham Risk Score, and prognostic models in cancer medicine, which provide 5-year survival probabilities. This potentially allows OxSATS to inform clinical decision-making more directly,” Dr. Fazel told this news organization.

The findings were published online in BMJ Mental Health.
 

Targeted tool

Self-harm is associated with a 1-year risk of suicide that is 20 times higher than that of the general population. Given that about 16 million people self-harm annually, the impact at a population level is potentially quite large, the researchers note.

Current structured approaches to gauge suicide risk among those who have engaged in self-harm are based on tools developed for other purposes and symptom checklists. “Their poor to moderate performance is therefore not unexpected,” Dr. Fazel told this news organization.

In contrast, OxSATS was specifically developed to predict suicide mortality after self-harm.

Dr. Fazel’s group evaluated data on 53,172 Swedish individuals aged 10 years and older who sought emergency medical care after episodes of self-harm.

The development cohort included 37,523 individuals. Of these, 391 died by suicide within 12 months. The validation cohort included 15,649 individuals; of these people, 178 died by suicide within 12 months.

The final OxSATS model includes 11 predictors related to age and sex, as well as variables related to substance misuse, mental health, and treatment and history of self-harm.

“The performance of the model in external validation was good, with c-index at 6 and 12 months of 0.77,” the researchers note.

Using a cutoff threshold of 1%, the OxSATS correctly identified 68% of those who died by suicide within 6 months, while 71% of those who didn’t die were correctly classified as being at low risk. The figures for risk prediction at 12 months were 82% and 54%, respectively.

The OxSATS has been made into a simple online tool with probability scores for suicide at 6 and 12 months after an episode of self-harm, but without linkage to interventions. A tool on its own is unlikely to improve outcomes, said Dr. Fazel.

“However,” he added, “it can improve consistency in the assessment process, especially in busy clinical settings where people from different professional backgrounds and experience undertake such assessments. It can also highlight the role of modifiable risk factors and provide an opportunity to transparently discuss risk with patients and their carers.”
 

Valuable work

Reached for comment, Igor Galynker, MD, PhD, professor of psychiatry at the Icahn School of Medicine at Mount Sinai, New York, said that this is a “very solid study with a very large sample size and solid statistical analysis.”

Another strength of the research is the outcome of suicide death versus suicide attempt or suicidal ideation. “In that respect, it is a valuable paper,” Dr. Galynker, who directs the Mount Sinai Beth Israel Suicide Research Laboratory, told this news organization.

He noted that there are no new risk factors in the model. Rather, the model contains the typical risk factors for suicide, which include male sex, substance misuse, past suicide attempt, and psychiatric diagnosis.

“The strongest risk factor in the model is self-harm by hanging, strangulation, or suffocation, which has been shown before and is therefore unsurprising,” said Dr. Galynker.

In general, the risk factors included in the model are often part of administrative tools for suicide risk assessment, said Dr. Galynker, but the OxSATS “seems easier to use because it has 11 items only.”

Broadly speaking, individuals with mental illness and past suicide attempt, past self-harm, alcohol use, and other risk factors “should be treated proactively with suicide prevention measures,” he told this news organization.

As previously reported, Dr. Galynker and colleagues have developed the Abbreviated Suicide Crisis Syndrome Checklist (A-SCS-C), a novel tool to help identify which suicidal patients who present to the emergency department should be admitted to hospital and which patients can be safely discharged.

Funding for the study was provided by Wellcome Trust and the Swedish Research Council. Dr. Fazel and Dr. Galynker have no relevant disclosures.

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

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Investigators have developed and validated a new risk calculator to help predict death by suicide in the 6-12 months after an episode of nonfatal self-harm, new research shows.

A study led by Seena Fazel, MBChB, MD, University of Oxford, England, suggests the Oxford Suicide Assessment Tool for Self-harm (OxSATS) may help guide treatment decisions and target resources to those most in need, the researchers note.

“Many tools use only simple high/low categories, whereas OxSATS includes probability scores, which align more closely with risk calculators in cardiovascular medicine, such as the Framingham Risk Score, and prognostic models in cancer medicine, which provide 5-year survival probabilities. This potentially allows OxSATS to inform clinical decision-making more directly,” Dr. Fazel told this news organization.

The findings were published online in BMJ Mental Health.
 

Targeted tool

Self-harm is associated with a 1-year risk of suicide that is 20 times higher than that of the general population. Given that about 16 million people self-harm annually, the impact at a population level is potentially quite large, the researchers note.

Current structured approaches to gauge suicide risk among those who have engaged in self-harm are based on tools developed for other purposes and symptom checklists. “Their poor to moderate performance is therefore not unexpected,” Dr. Fazel told this news organization.

In contrast, OxSATS was specifically developed to predict suicide mortality after self-harm.

Dr. Fazel’s group evaluated data on 53,172 Swedish individuals aged 10 years and older who sought emergency medical care after episodes of self-harm.

The development cohort included 37,523 individuals. Of these, 391 died by suicide within 12 months. The validation cohort included 15,649 individuals; of these people, 178 died by suicide within 12 months.

The final OxSATS model includes 11 predictors related to age and sex, as well as variables related to substance misuse, mental health, and treatment and history of self-harm.

“The performance of the model in external validation was good, with c-index at 6 and 12 months of 0.77,” the researchers note.

Using a cutoff threshold of 1%, the OxSATS correctly identified 68% of those who died by suicide within 6 months, while 71% of those who didn’t die were correctly classified as being at low risk. The figures for risk prediction at 12 months were 82% and 54%, respectively.

The OxSATS has been made into a simple online tool with probability scores for suicide at 6 and 12 months after an episode of self-harm, but without linkage to interventions. A tool on its own is unlikely to improve outcomes, said Dr. Fazel.

“However,” he added, “it can improve consistency in the assessment process, especially in busy clinical settings where people from different professional backgrounds and experience undertake such assessments. It can also highlight the role of modifiable risk factors and provide an opportunity to transparently discuss risk with patients and their carers.”
 

Valuable work

Reached for comment, Igor Galynker, MD, PhD, professor of psychiatry at the Icahn School of Medicine at Mount Sinai, New York, said that this is a “very solid study with a very large sample size and solid statistical analysis.”

Another strength of the research is the outcome of suicide death versus suicide attempt or suicidal ideation. “In that respect, it is a valuable paper,” Dr. Galynker, who directs the Mount Sinai Beth Israel Suicide Research Laboratory, told this news organization.

He noted that there are no new risk factors in the model. Rather, the model contains the typical risk factors for suicide, which include male sex, substance misuse, past suicide attempt, and psychiatric diagnosis.

“The strongest risk factor in the model is self-harm by hanging, strangulation, or suffocation, which has been shown before and is therefore unsurprising,” said Dr. Galynker.

In general, the risk factors included in the model are often part of administrative tools for suicide risk assessment, said Dr. Galynker, but the OxSATS “seems easier to use because it has 11 items only.”

Broadly speaking, individuals with mental illness and past suicide attempt, past self-harm, alcohol use, and other risk factors “should be treated proactively with suicide prevention measures,” he told this news organization.

As previously reported, Dr. Galynker and colleagues have developed the Abbreviated Suicide Crisis Syndrome Checklist (A-SCS-C), a novel tool to help identify which suicidal patients who present to the emergency department should be admitted to hospital and which patients can be safely discharged.

Funding for the study was provided by Wellcome Trust and the Swedish Research Council. Dr. Fazel and Dr. Galynker have no relevant disclosures.

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

Investigators have developed and validated a new risk calculator to help predict death by suicide in the 6-12 months after an episode of nonfatal self-harm, new research shows.

A study led by Seena Fazel, MBChB, MD, University of Oxford, England, suggests the Oxford Suicide Assessment Tool for Self-harm (OxSATS) may help guide treatment decisions and target resources to those most in need, the researchers note.

“Many tools use only simple high/low categories, whereas OxSATS includes probability scores, which align more closely with risk calculators in cardiovascular medicine, such as the Framingham Risk Score, and prognostic models in cancer medicine, which provide 5-year survival probabilities. This potentially allows OxSATS to inform clinical decision-making more directly,” Dr. Fazel told this news organization.

The findings were published online in BMJ Mental Health.
 

Targeted tool

Self-harm is associated with a 1-year risk of suicide that is 20 times higher than that of the general population. Given that about 16 million people self-harm annually, the impact at a population level is potentially quite large, the researchers note.

Current structured approaches to gauge suicide risk among those who have engaged in self-harm are based on tools developed for other purposes and symptom checklists. “Their poor to moderate performance is therefore not unexpected,” Dr. Fazel told this news organization.

In contrast, OxSATS was specifically developed to predict suicide mortality after self-harm.

Dr. Fazel’s group evaluated data on 53,172 Swedish individuals aged 10 years and older who sought emergency medical care after episodes of self-harm.

The development cohort included 37,523 individuals. Of these, 391 died by suicide within 12 months. The validation cohort included 15,649 individuals; of these people, 178 died by suicide within 12 months.

The final OxSATS model includes 11 predictors related to age and sex, as well as variables related to substance misuse, mental health, and treatment and history of self-harm.

“The performance of the model in external validation was good, with c-index at 6 and 12 months of 0.77,” the researchers note.

Using a cutoff threshold of 1%, the OxSATS correctly identified 68% of those who died by suicide within 6 months, while 71% of those who didn’t die were correctly classified as being at low risk. The figures for risk prediction at 12 months were 82% and 54%, respectively.

The OxSATS has been made into a simple online tool with probability scores for suicide at 6 and 12 months after an episode of self-harm, but without linkage to interventions. A tool on its own is unlikely to improve outcomes, said Dr. Fazel.

“However,” he added, “it can improve consistency in the assessment process, especially in busy clinical settings where people from different professional backgrounds and experience undertake such assessments. It can also highlight the role of modifiable risk factors and provide an opportunity to transparently discuss risk with patients and their carers.”
 

Valuable work

Reached for comment, Igor Galynker, MD, PhD, professor of psychiatry at the Icahn School of Medicine at Mount Sinai, New York, said that this is a “very solid study with a very large sample size and solid statistical analysis.”

Another strength of the research is the outcome of suicide death versus suicide attempt or suicidal ideation. “In that respect, it is a valuable paper,” Dr. Galynker, who directs the Mount Sinai Beth Israel Suicide Research Laboratory, told this news organization.

He noted that there are no new risk factors in the model. Rather, the model contains the typical risk factors for suicide, which include male sex, substance misuse, past suicide attempt, and psychiatric diagnosis.

“The strongest risk factor in the model is self-harm by hanging, strangulation, or suffocation, which has been shown before and is therefore unsurprising,” said Dr. Galynker.

In general, the risk factors included in the model are often part of administrative tools for suicide risk assessment, said Dr. Galynker, but the OxSATS “seems easier to use because it has 11 items only.”

Broadly speaking, individuals with mental illness and past suicide attempt, past self-harm, alcohol use, and other risk factors “should be treated proactively with suicide prevention measures,” he told this news organization.

As previously reported, Dr. Galynker and colleagues have developed the Abbreviated Suicide Crisis Syndrome Checklist (A-SCS-C), a novel tool to help identify which suicidal patients who present to the emergency department should be admitted to hospital and which patients can be safely discharged.

Funding for the study was provided by Wellcome Trust and the Swedish Research Council. Dr. Fazel and Dr. Galynker have no relevant disclosures.

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

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Patient aggression against receptionists demands protocols

Article Type
Changed

“I’ve been hit in the head by a walking stick,” a primary care receptionist reported.

“A mother came in and was screaming and swearing at me because she couldn’t get an appointment for her daughters,” another receptionist reported.

“I’ve had people throw a bag of syringes at me because we don’t accept syringes,” said another.

Reports such as these are part of the literature supporting a review that finds patient aggression against receptionists is a serious safety concern for primary care offices and affects delivery of health care.

The review was published online in the BMJ’s Family Medicine and Community Health journal.

“Receptionists in general practice deserve evidence-based measures to improve their working conditions and well-being,” say the authors, led by Fiona Willer, PhD, of the Centre for Community Health and Wellbeing at the University of Queensland, Brisbane, Australia.

Though the study looked primarily at European and Australian practices, physicians in the United States say the incidences are familiar.
 

Cause often lack of access

Dr. Willer and colleagues point out that the root cause of patient regression is typically related to operational factors, such as inefficient scheduling or lack of access to the medical providers.

“However, reception staff are placed in the unenviable position of having to deal with the aftermath of the poor function of these systems without having the status or autonomy to overhaul them,” the authors note.

Authors analyzed 20 studies on aggression against receptionists.

Among the findings:

  • All studies reported that patient hostility and verbal abuse of receptionists “was a frequent, routine, and relatively unavoidable occurrence in general practice.”
  • Nine studies reported acts of physical violence toward receptionists, with all reporting that physical abuse occurred much less frequently than verbal abuse.
  • Some acts were very severe, including being hit, shaken, held at gunpoint, stalked, and threatened with a razorblade.

The studies also discussed ways to prevent potential aggression or react to it, including:

  • Regular staff training for managing patient aggression.
  • Designing clinics with “safe rooms” and “cool down” spaces.
  • Providing clear acrylic shields between receptionists and patients.
  • Developing formal policy/procedure/protocol/action guides relating to management of patients.
  •  

Behavior can interrupt health care delivery

Carrie Janiski, DO, regional medical director at Golden Valley Health Centers in California, who was not part of the review, said she has seen the aggressive behavior the authors document in her practice’s lobby, “including yelling, name-calling, and threatening language or physical behavior.”

The instances disrupt health care delivery to the patient, who is often in crisis, and all patients and staff in the clinic, she said.

“The patient needs help and the aggressive way they are seeking it could cause harm to others or prevent them from receiving all the help they need,” she said.

She says in practices she has worked in, some effective mitigation strategies have included open-access scheduling, increased walk-in availability for appointments, de-escalation training for front-line staff, and office and exam room layout designed for safety.

She added that incident review is important and should include a process for patient dismissal from the practice.

Dustin Arnold, DO, an internal medicine specialist and chief medical officer at UnityPoint Health-St. Luke’s Hospital, Cedar Rapids, IA, said he agrees with the authors on the urgency for action.

“This is an urgent concern for practices across the country. Your receptionist is the face of your practice, and you should invest in them,” said Dr. Arnold, who was not part of the review.

He said he has seen “verbal abuse and generalized incivility” from patients against receptionists in practices where he has worked.

He said the measure the authors list that he thinks is most effective is staff de-escalation training.

“However, the best preventative measure is for the physician to be on time and minimize cancellation of appointments,” he said. “These are the two primary triggers of a patient becoming disruptive.”

He said his practice has installed a panic button at the front desk and built an alert into the electronic health record indicating that a patient has shown disruptive behavior in the past.

The authors conclude: “Staff training and protocols to manage patient aggression and ongoing structured staff support should be considered essential in general practice. Evidence-based strategies to prevent, manage, and mitigate the harms of patient aggression towards general practice reception staff are urgently needed.”

The authors and Dr. Janiski and Dr. Arnold declared no relevant financial relationships.

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“I’ve been hit in the head by a walking stick,” a primary care receptionist reported.

“A mother came in and was screaming and swearing at me because she couldn’t get an appointment for her daughters,” another receptionist reported.

“I’ve had people throw a bag of syringes at me because we don’t accept syringes,” said another.

Reports such as these are part of the literature supporting a review that finds patient aggression against receptionists is a serious safety concern for primary care offices and affects delivery of health care.

The review was published online in the BMJ’s Family Medicine and Community Health journal.

“Receptionists in general practice deserve evidence-based measures to improve their working conditions and well-being,” say the authors, led by Fiona Willer, PhD, of the Centre for Community Health and Wellbeing at the University of Queensland, Brisbane, Australia.

Though the study looked primarily at European and Australian practices, physicians in the United States say the incidences are familiar.
 

Cause often lack of access

Dr. Willer and colleagues point out that the root cause of patient regression is typically related to operational factors, such as inefficient scheduling or lack of access to the medical providers.

“However, reception staff are placed in the unenviable position of having to deal with the aftermath of the poor function of these systems without having the status or autonomy to overhaul them,” the authors note.

Authors analyzed 20 studies on aggression against receptionists.

Among the findings:

  • All studies reported that patient hostility and verbal abuse of receptionists “was a frequent, routine, and relatively unavoidable occurrence in general practice.”
  • Nine studies reported acts of physical violence toward receptionists, with all reporting that physical abuse occurred much less frequently than verbal abuse.
  • Some acts were very severe, including being hit, shaken, held at gunpoint, stalked, and threatened with a razorblade.

The studies also discussed ways to prevent potential aggression or react to it, including:

  • Regular staff training for managing patient aggression.
  • Designing clinics with “safe rooms” and “cool down” spaces.
  • Providing clear acrylic shields between receptionists and patients.
  • Developing formal policy/procedure/protocol/action guides relating to management of patients.
  •  

Behavior can interrupt health care delivery

Carrie Janiski, DO, regional medical director at Golden Valley Health Centers in California, who was not part of the review, said she has seen the aggressive behavior the authors document in her practice’s lobby, “including yelling, name-calling, and threatening language or physical behavior.”

The instances disrupt health care delivery to the patient, who is often in crisis, and all patients and staff in the clinic, she said.

“The patient needs help and the aggressive way they are seeking it could cause harm to others or prevent them from receiving all the help they need,” she said.

She says in practices she has worked in, some effective mitigation strategies have included open-access scheduling, increased walk-in availability for appointments, de-escalation training for front-line staff, and office and exam room layout designed for safety.

She added that incident review is important and should include a process for patient dismissal from the practice.

Dustin Arnold, DO, an internal medicine specialist and chief medical officer at UnityPoint Health-St. Luke’s Hospital, Cedar Rapids, IA, said he agrees with the authors on the urgency for action.

“This is an urgent concern for practices across the country. Your receptionist is the face of your practice, and you should invest in them,” said Dr. Arnold, who was not part of the review.

He said he has seen “verbal abuse and generalized incivility” from patients against receptionists in practices where he has worked.

He said the measure the authors list that he thinks is most effective is staff de-escalation training.

“However, the best preventative measure is for the physician to be on time and minimize cancellation of appointments,” he said. “These are the two primary triggers of a patient becoming disruptive.”

He said his practice has installed a panic button at the front desk and built an alert into the electronic health record indicating that a patient has shown disruptive behavior in the past.

The authors conclude: “Staff training and protocols to manage patient aggression and ongoing structured staff support should be considered essential in general practice. Evidence-based strategies to prevent, manage, and mitigate the harms of patient aggression towards general practice reception staff are urgently needed.”

The authors and Dr. Janiski and Dr. Arnold declared no relevant financial relationships.

“I’ve been hit in the head by a walking stick,” a primary care receptionist reported.

“A mother came in and was screaming and swearing at me because she couldn’t get an appointment for her daughters,” another receptionist reported.

“I’ve had people throw a bag of syringes at me because we don’t accept syringes,” said another.

Reports such as these are part of the literature supporting a review that finds patient aggression against receptionists is a serious safety concern for primary care offices and affects delivery of health care.

The review was published online in the BMJ’s Family Medicine and Community Health journal.

“Receptionists in general practice deserve evidence-based measures to improve their working conditions and well-being,” say the authors, led by Fiona Willer, PhD, of the Centre for Community Health and Wellbeing at the University of Queensland, Brisbane, Australia.

Though the study looked primarily at European and Australian practices, physicians in the United States say the incidences are familiar.
 

Cause often lack of access

Dr. Willer and colleagues point out that the root cause of patient regression is typically related to operational factors, such as inefficient scheduling or lack of access to the medical providers.

“However, reception staff are placed in the unenviable position of having to deal with the aftermath of the poor function of these systems without having the status or autonomy to overhaul them,” the authors note.

Authors analyzed 20 studies on aggression against receptionists.

Among the findings:

  • All studies reported that patient hostility and verbal abuse of receptionists “was a frequent, routine, and relatively unavoidable occurrence in general practice.”
  • Nine studies reported acts of physical violence toward receptionists, with all reporting that physical abuse occurred much less frequently than verbal abuse.
  • Some acts were very severe, including being hit, shaken, held at gunpoint, stalked, and threatened with a razorblade.

The studies also discussed ways to prevent potential aggression or react to it, including:

  • Regular staff training for managing patient aggression.
  • Designing clinics with “safe rooms” and “cool down” spaces.
  • Providing clear acrylic shields between receptionists and patients.
  • Developing formal policy/procedure/protocol/action guides relating to management of patients.
  •  

Behavior can interrupt health care delivery

Carrie Janiski, DO, regional medical director at Golden Valley Health Centers in California, who was not part of the review, said she has seen the aggressive behavior the authors document in her practice’s lobby, “including yelling, name-calling, and threatening language or physical behavior.”

The instances disrupt health care delivery to the patient, who is often in crisis, and all patients and staff in the clinic, she said.

“The patient needs help and the aggressive way they are seeking it could cause harm to others or prevent them from receiving all the help they need,” she said.

She says in practices she has worked in, some effective mitigation strategies have included open-access scheduling, increased walk-in availability for appointments, de-escalation training for front-line staff, and office and exam room layout designed for safety.

She added that incident review is important and should include a process for patient dismissal from the practice.

Dustin Arnold, DO, an internal medicine specialist and chief medical officer at UnityPoint Health-St. Luke’s Hospital, Cedar Rapids, IA, said he agrees with the authors on the urgency for action.

“This is an urgent concern for practices across the country. Your receptionist is the face of your practice, and you should invest in them,” said Dr. Arnold, who was not part of the review.

He said he has seen “verbal abuse and generalized incivility” from patients against receptionists in practices where he has worked.

He said the measure the authors list that he thinks is most effective is staff de-escalation training.

“However, the best preventative measure is for the physician to be on time and minimize cancellation of appointments,” he said. “These are the two primary triggers of a patient becoming disruptive.”

He said his practice has installed a panic button at the front desk and built an alert into the electronic health record indicating that a patient has shown disruptive behavior in the past.

The authors conclude: “Staff training and protocols to manage patient aggression and ongoing structured staff support should be considered essential in general practice. Evidence-based strategies to prevent, manage, and mitigate the harms of patient aggression towards general practice reception staff are urgently needed.”

The authors and Dr. Janiski and Dr. Arnold declared no relevant financial relationships.

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Cardiorespiratory fitness linked to cancer risk, mortality?

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TOPLINE:

Higher levels of cardiorespiratory fitness (CRF) may offer protection from colon and lung cancer and from lung and prostate cancer mortality among men, a large Swedish cohort study suggests.

METHODOLOGY:

  • A prospective cohort study included 177,709 Swedish men (mean age, 42; mean body mass index, 26 kg/m2) who completed an occupational health profile assessment and were followed for a mean of 9.6 years.
  • CRF was assessed by determining maximal oxygen consumption during an aerobic fitness test, known as a submaximal Åstrand cycle ergometer test.
  • Participants reported physical activity habits, lifestyle, and perceived health.
  • Data on prostate, colon, and lung cancer incidence and mortality were derived from national registers.
  • Outcomes from three higher CRF groups (low, > 25-35; moderate, > 35-45; high, > 45 mL/min per kg) were compared with those from the very low CRF group (25 mL/min per kg or less). Models were adjusted for various factors, including age, BMI, education, dietary habits, comorbidity, and smoking.

TAKEAWAY:

  • During follow-up, investigators identified 1,918 prostate, 499 colon, and 283 lung cancer cases as well as 141 prostate, 207 lung, and 152 colon cancer deaths.
  • In the fully adjusted model, higher CRF levels were associated with a significantly lower risk for colon cancer (hazard ratio, 0.72 for moderate; HR, 0.63 for high).
  • In this model, higher CRF was also associated with a lower risk of death from prostate cancer (HR, 0.67 for low; HR, 0.57 for moderate; HR, 0.29 for high).
  • For lung cancer mortality, only high CRF was associated with a significantly lower risk of death (HR, 0.41).
  • An association between CRF and lung cancer incidence (HR, 0.99) and death (HR, 0.99) was only evident among adults aged 60 and older.

IN PRACTICE:

“The clinical implications of these findings further emphasize the importance of CRF for possibly reducing cancer incidence and mortality,” the authors concluded. “It is important for the general public to understand that higher-intensity [physical activity] has greater effects on CRF and is likely to be more protective against the risk of developing and dying from certain cancers.”

SOURCE:

The study was led by Elin Ekblom-Bak, PhD, from the Swedish School of Sport and Health Sciences, Stockholm. It was published online in JAMA Network Open.

LIMITATIONS:

The study was limited by voluntary participation, inclusion of only employed individuals, and estimations of CRF via submaximal tests. Data on smoking status were not optimal and there was a small number of cancer cases and deaths.

DISCLOSURES:

Funding was provided by the Swedish Cancer Society. The authors have reported no conflicts of interest.

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

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TOPLINE:

Higher levels of cardiorespiratory fitness (CRF) may offer protection from colon and lung cancer and from lung and prostate cancer mortality among men, a large Swedish cohort study suggests.

METHODOLOGY:

  • A prospective cohort study included 177,709 Swedish men (mean age, 42; mean body mass index, 26 kg/m2) who completed an occupational health profile assessment and were followed for a mean of 9.6 years.
  • CRF was assessed by determining maximal oxygen consumption during an aerobic fitness test, known as a submaximal Åstrand cycle ergometer test.
  • Participants reported physical activity habits, lifestyle, and perceived health.
  • Data on prostate, colon, and lung cancer incidence and mortality were derived from national registers.
  • Outcomes from three higher CRF groups (low, > 25-35; moderate, > 35-45; high, > 45 mL/min per kg) were compared with those from the very low CRF group (25 mL/min per kg or less). Models were adjusted for various factors, including age, BMI, education, dietary habits, comorbidity, and smoking.

TAKEAWAY:

  • During follow-up, investigators identified 1,918 prostate, 499 colon, and 283 lung cancer cases as well as 141 prostate, 207 lung, and 152 colon cancer deaths.
  • In the fully adjusted model, higher CRF levels were associated with a significantly lower risk for colon cancer (hazard ratio, 0.72 for moderate; HR, 0.63 for high).
  • In this model, higher CRF was also associated with a lower risk of death from prostate cancer (HR, 0.67 for low; HR, 0.57 for moderate; HR, 0.29 for high).
  • For lung cancer mortality, only high CRF was associated with a significantly lower risk of death (HR, 0.41).
  • An association between CRF and lung cancer incidence (HR, 0.99) and death (HR, 0.99) was only evident among adults aged 60 and older.

IN PRACTICE:

“The clinical implications of these findings further emphasize the importance of CRF for possibly reducing cancer incidence and mortality,” the authors concluded. “It is important for the general public to understand that higher-intensity [physical activity] has greater effects on CRF and is likely to be more protective against the risk of developing and dying from certain cancers.”

SOURCE:

The study was led by Elin Ekblom-Bak, PhD, from the Swedish School of Sport and Health Sciences, Stockholm. It was published online in JAMA Network Open.

LIMITATIONS:

The study was limited by voluntary participation, inclusion of only employed individuals, and estimations of CRF via submaximal tests. Data on smoking status were not optimal and there was a small number of cancer cases and deaths.

DISCLOSURES:

Funding was provided by the Swedish Cancer Society. The authors have reported no conflicts of interest.

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

 

TOPLINE:

Higher levels of cardiorespiratory fitness (CRF) may offer protection from colon and lung cancer and from lung and prostate cancer mortality among men, a large Swedish cohort study suggests.

METHODOLOGY:

  • A prospective cohort study included 177,709 Swedish men (mean age, 42; mean body mass index, 26 kg/m2) who completed an occupational health profile assessment and were followed for a mean of 9.6 years.
  • CRF was assessed by determining maximal oxygen consumption during an aerobic fitness test, known as a submaximal Åstrand cycle ergometer test.
  • Participants reported physical activity habits, lifestyle, and perceived health.
  • Data on prostate, colon, and lung cancer incidence and mortality were derived from national registers.
  • Outcomes from three higher CRF groups (low, > 25-35; moderate, > 35-45; high, > 45 mL/min per kg) were compared with those from the very low CRF group (25 mL/min per kg or less). Models were adjusted for various factors, including age, BMI, education, dietary habits, comorbidity, and smoking.

TAKEAWAY:

  • During follow-up, investigators identified 1,918 prostate, 499 colon, and 283 lung cancer cases as well as 141 prostate, 207 lung, and 152 colon cancer deaths.
  • In the fully adjusted model, higher CRF levels were associated with a significantly lower risk for colon cancer (hazard ratio, 0.72 for moderate; HR, 0.63 for high).
  • In this model, higher CRF was also associated with a lower risk of death from prostate cancer (HR, 0.67 for low; HR, 0.57 for moderate; HR, 0.29 for high).
  • For lung cancer mortality, only high CRF was associated with a significantly lower risk of death (HR, 0.41).
  • An association between CRF and lung cancer incidence (HR, 0.99) and death (HR, 0.99) was only evident among adults aged 60 and older.

IN PRACTICE:

“The clinical implications of these findings further emphasize the importance of CRF for possibly reducing cancer incidence and mortality,” the authors concluded. “It is important for the general public to understand that higher-intensity [physical activity] has greater effects on CRF and is likely to be more protective against the risk of developing and dying from certain cancers.”

SOURCE:

The study was led by Elin Ekblom-Bak, PhD, from the Swedish School of Sport and Health Sciences, Stockholm. It was published online in JAMA Network Open.

LIMITATIONS:

The study was limited by voluntary participation, inclusion of only employed individuals, and estimations of CRF via submaximal tests. Data on smoking status were not optimal and there was a small number of cancer cases and deaths.

DISCLOSURES:

Funding was provided by the Swedish Cancer Society. The authors have reported no conflicts of interest.

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

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Long COVID ‘brain fog’ confounds doctors, but new research offers hope

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Kate Whitley was petrified of COVID-19 from the beginning of the pandemic because she has Hashimoto disease, an autoimmune disorder that she knew put her at high risk for complications.

She was right to be worried. Two months after contracting the infection in September 2022, the 42-year-old Nashville resident was diagnosed with long COVID. For Ms. Whitley, the resulting brain fog has been the most challenging factor. She is the owner of a successful paper goods store, and she can’t remember basic aspects of her job. She can’t tolerate loud noises and gets so distracted that she has trouble remembering what she was doing.

Ms. Whitley doesn’t like the term “brain fog” because it doesn’t begin to describe the dramatic disruption to her life over the past 7 months.

“I just can’t think anymore,” she said. “It makes you realize that you’re nothing without your brain. Sometimes I feel like a shell of my former self.”

Brain fog is among the most common symptoms of long COVID, and also one of the most poorly understood. A reported 46% of those diagnosed with long COVID complain of brain fog or a loss of memory. Many clinicians agree that the term is vague and often doesn’t truly represent the condition. That, in turn, makes it harder for doctors to diagnose and treat it. There are no standard tests for it, nor are there guidelines for symptom management or treatment.

“There’s a lot of imprecision in the term because it might mean different things to different patients,” said James C. Jackson, PsyD, a neuropsychiatrist at Vanderbilt University, Nashville, Tenn., and author of a new book, “Clearing the Fog: From Surviving to Thriving With Long COVID – A Practical Guide.”

Dr. Jackson, who began treating Ms. Whitley in February 2023, said that it makes more sense to call brain fog a brain impairment or an acquired brain injury (ABI) because it doesn’t occur gradually. COVID damages the brain and causes injury. For those with long COVID who were previously in the intensive care unit and may have undergone ventilation, hypoxic brain injury may result from the lack of oxygen to the brain.

Even among those with milder cases of acute COVID, there’s some evidence that persistent neuroinflammation in the brain caused by an activated immune system may also cause damage.

In both cases, the results can be debilitating. Ms. Whitley also has dysautonomia – a disorder of the autonomic nervous system that can cause dizziness, sweating, and headaches along with fatigue and heart palpitations.

She said that she’s so forgetful that when she sees people socially, she’s nervous of what she’ll say. “I feel like I’m constantly sticking my foot in my mouth because I can’t remember details of other people’s lives,” she said.

Although brain disorders such as Alzheimer’s disease and other forms of dementia are marked by a slow decline, ABI occurs more suddenly and may include a loss of executive function and attention.

“With a brain injury, you’re doing fine, and then some event happens (in this case COVID), and immediately after that, your cognitive function is different,” said Dr. Jackson.

Additionally, ABI is an actual diagnosis, whereas brain fog is not.

“With a brain injury, there’s a treatment pathway for cognitive rehabilitation,” said Dr. Jackson.

Treatments may include speech, cognitive, and occupational therapy as well as meeting with a neuropsychiatrist for treatment of the mental and behavioral disorders that may result. Dr. Jackson said that while many patients aren’t functioning cognitively or physically at 100%, they can make enough strides that they don’t have to give up things such as driving and, in some cases, their jobs.

Other experts agree that long COVID may damage the brain. An April 2022 study published in the journal Nature found strong evidence that SARS-CoV-2 infection may cause brain-related abnormalities, for example, a reduction in gray matter in certain parts of the brain, including the prefrontal cortex, hypothalamus, and amygdala.

Additionally, white matter, which is found deeper in the brain and is responsible for the exchange of information between different parts of the brain, may also be at risk of damage as a result of the virus, according to a November 2022 study published in the journal SN Comprehensive Clinical Medicine.

Calling it a “fog” makes it easier for clinicians and the general public to dismiss its severity, said Tyler Reed Bell, PhD, a researcher who specializes in viruses that cause brain injury. He is a fellow in the department of psychiatry at the University of California, San Diego. Brain fog can make driving and returning to work especially dangerous. Because of difficulty focusing, patients are much more likely to make mistakes that cause accidents.

“The COVID virus is very invasive to the brain,” Dr. Bell said.

Others contend this may be a rush to judgment. Karla L. Thompson, PhD, lead neuropsychologist at the University of North Carolina at Chapel Hill’s COVID Recovery Clinic, agrees that in more serious cases of COVID that cause a lack of oxygen to the brain, it’s reasonable to call it a brain injury. But brain fog can also be associated with other long COVID symptoms, not just damage to the brain.

Chronic fatigue and poor sleep are both commonly reported symptoms of long COVID that negatively affect brain function, she said. Sleep disturbances, cardiac problems, dysautonomia, and emotional distress could also affect the way the brain functions post COVID. Finding the right treatment requires identifying all the factors contributing to cognitive impairment.

Part of the problem in treating long COVID brain fog is that diagnostic technology is not sensitive enough to detect inflammation that could be causing damage.

Grace McComsey, MD, who leads the long COVID RECOVER study at University Hospitals Health System in Cleveland, said her team is working on identifying biomarkers that could detect brain inflammation in a way similar to the manner researchers have identified biomarkers to help diagnose chronic fatigue syndrome. Additionally, a new study published last month in JAMA for the first time clearly defined 12 symptoms of long COVID, and brain fog was listed among them. All of this contributes to the development of clear diagnostic criteria.

“It will make a big difference once we have some consistency among clinicians in diagnosing the condition,” said Dr. McComsey.

Ms. Whitley is thankful for the treatment that she’s received thus far. She’s seeing a cognitive rehabilitation therapist, who assesses her memory, cognition, and attention span and gives her tools to break up simple tasks, such as driving, so that they don’t feel overwhelming. She’s back behind the wheel and back to work.

But perhaps most importantly, Ms. Whitley joined a support group, led by Dr. Jackson, that includes other people experiencing the same symptoms she is. When she was at her darkest, they understood.

“Talking to other survivors has been the only solace in all this,” Ms. Whitley said. “Together, we grieve all that’s been lost.”

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

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Kate Whitley was petrified of COVID-19 from the beginning of the pandemic because she has Hashimoto disease, an autoimmune disorder that she knew put her at high risk for complications.

She was right to be worried. Two months after contracting the infection in September 2022, the 42-year-old Nashville resident was diagnosed with long COVID. For Ms. Whitley, the resulting brain fog has been the most challenging factor. She is the owner of a successful paper goods store, and she can’t remember basic aspects of her job. She can’t tolerate loud noises and gets so distracted that she has trouble remembering what she was doing.

Ms. Whitley doesn’t like the term “brain fog” because it doesn’t begin to describe the dramatic disruption to her life over the past 7 months.

“I just can’t think anymore,” she said. “It makes you realize that you’re nothing without your brain. Sometimes I feel like a shell of my former self.”

Brain fog is among the most common symptoms of long COVID, and also one of the most poorly understood. A reported 46% of those diagnosed with long COVID complain of brain fog or a loss of memory. Many clinicians agree that the term is vague and often doesn’t truly represent the condition. That, in turn, makes it harder for doctors to diagnose and treat it. There are no standard tests for it, nor are there guidelines for symptom management or treatment.

“There’s a lot of imprecision in the term because it might mean different things to different patients,” said James C. Jackson, PsyD, a neuropsychiatrist at Vanderbilt University, Nashville, Tenn., and author of a new book, “Clearing the Fog: From Surviving to Thriving With Long COVID – A Practical Guide.”

Dr. Jackson, who began treating Ms. Whitley in February 2023, said that it makes more sense to call brain fog a brain impairment or an acquired brain injury (ABI) because it doesn’t occur gradually. COVID damages the brain and causes injury. For those with long COVID who were previously in the intensive care unit and may have undergone ventilation, hypoxic brain injury may result from the lack of oxygen to the brain.

Even among those with milder cases of acute COVID, there’s some evidence that persistent neuroinflammation in the brain caused by an activated immune system may also cause damage.

In both cases, the results can be debilitating. Ms. Whitley also has dysautonomia – a disorder of the autonomic nervous system that can cause dizziness, sweating, and headaches along with fatigue and heart palpitations.

She said that she’s so forgetful that when she sees people socially, she’s nervous of what she’ll say. “I feel like I’m constantly sticking my foot in my mouth because I can’t remember details of other people’s lives,” she said.

Although brain disorders such as Alzheimer’s disease and other forms of dementia are marked by a slow decline, ABI occurs more suddenly and may include a loss of executive function and attention.

“With a brain injury, you’re doing fine, and then some event happens (in this case COVID), and immediately after that, your cognitive function is different,” said Dr. Jackson.

Additionally, ABI is an actual diagnosis, whereas brain fog is not.

“With a brain injury, there’s a treatment pathway for cognitive rehabilitation,” said Dr. Jackson.

Treatments may include speech, cognitive, and occupational therapy as well as meeting with a neuropsychiatrist for treatment of the mental and behavioral disorders that may result. Dr. Jackson said that while many patients aren’t functioning cognitively or physically at 100%, they can make enough strides that they don’t have to give up things such as driving and, in some cases, their jobs.

Other experts agree that long COVID may damage the brain. An April 2022 study published in the journal Nature found strong evidence that SARS-CoV-2 infection may cause brain-related abnormalities, for example, a reduction in gray matter in certain parts of the brain, including the prefrontal cortex, hypothalamus, and amygdala.

Additionally, white matter, which is found deeper in the brain and is responsible for the exchange of information between different parts of the brain, may also be at risk of damage as a result of the virus, according to a November 2022 study published in the journal SN Comprehensive Clinical Medicine.

Calling it a “fog” makes it easier for clinicians and the general public to dismiss its severity, said Tyler Reed Bell, PhD, a researcher who specializes in viruses that cause brain injury. He is a fellow in the department of psychiatry at the University of California, San Diego. Brain fog can make driving and returning to work especially dangerous. Because of difficulty focusing, patients are much more likely to make mistakes that cause accidents.

“The COVID virus is very invasive to the brain,” Dr. Bell said.

Others contend this may be a rush to judgment. Karla L. Thompson, PhD, lead neuropsychologist at the University of North Carolina at Chapel Hill’s COVID Recovery Clinic, agrees that in more serious cases of COVID that cause a lack of oxygen to the brain, it’s reasonable to call it a brain injury. But brain fog can also be associated with other long COVID symptoms, not just damage to the brain.

Chronic fatigue and poor sleep are both commonly reported symptoms of long COVID that negatively affect brain function, she said. Sleep disturbances, cardiac problems, dysautonomia, and emotional distress could also affect the way the brain functions post COVID. Finding the right treatment requires identifying all the factors contributing to cognitive impairment.

Part of the problem in treating long COVID brain fog is that diagnostic technology is not sensitive enough to detect inflammation that could be causing damage.

Grace McComsey, MD, who leads the long COVID RECOVER study at University Hospitals Health System in Cleveland, said her team is working on identifying biomarkers that could detect brain inflammation in a way similar to the manner researchers have identified biomarkers to help diagnose chronic fatigue syndrome. Additionally, a new study published last month in JAMA for the first time clearly defined 12 symptoms of long COVID, and brain fog was listed among them. All of this contributes to the development of clear diagnostic criteria.

“It will make a big difference once we have some consistency among clinicians in diagnosing the condition,” said Dr. McComsey.

Ms. Whitley is thankful for the treatment that she’s received thus far. She’s seeing a cognitive rehabilitation therapist, who assesses her memory, cognition, and attention span and gives her tools to break up simple tasks, such as driving, so that they don’t feel overwhelming. She’s back behind the wheel and back to work.

But perhaps most importantly, Ms. Whitley joined a support group, led by Dr. Jackson, that includes other people experiencing the same symptoms she is. When she was at her darkest, they understood.

“Talking to other survivors has been the only solace in all this,” Ms. Whitley said. “Together, we grieve all that’s been lost.”

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

Kate Whitley was petrified of COVID-19 from the beginning of the pandemic because she has Hashimoto disease, an autoimmune disorder that she knew put her at high risk for complications.

She was right to be worried. Two months after contracting the infection in September 2022, the 42-year-old Nashville resident was diagnosed with long COVID. For Ms. Whitley, the resulting brain fog has been the most challenging factor. She is the owner of a successful paper goods store, and she can’t remember basic aspects of her job. She can’t tolerate loud noises and gets so distracted that she has trouble remembering what she was doing.

Ms. Whitley doesn’t like the term “brain fog” because it doesn’t begin to describe the dramatic disruption to her life over the past 7 months.

“I just can’t think anymore,” she said. “It makes you realize that you’re nothing without your brain. Sometimes I feel like a shell of my former self.”

Brain fog is among the most common symptoms of long COVID, and also one of the most poorly understood. A reported 46% of those diagnosed with long COVID complain of brain fog or a loss of memory. Many clinicians agree that the term is vague and often doesn’t truly represent the condition. That, in turn, makes it harder for doctors to diagnose and treat it. There are no standard tests for it, nor are there guidelines for symptom management or treatment.

“There’s a lot of imprecision in the term because it might mean different things to different patients,” said James C. Jackson, PsyD, a neuropsychiatrist at Vanderbilt University, Nashville, Tenn., and author of a new book, “Clearing the Fog: From Surviving to Thriving With Long COVID – A Practical Guide.”

Dr. Jackson, who began treating Ms. Whitley in February 2023, said that it makes more sense to call brain fog a brain impairment or an acquired brain injury (ABI) because it doesn’t occur gradually. COVID damages the brain and causes injury. For those with long COVID who were previously in the intensive care unit and may have undergone ventilation, hypoxic brain injury may result from the lack of oxygen to the brain.

Even among those with milder cases of acute COVID, there’s some evidence that persistent neuroinflammation in the brain caused by an activated immune system may also cause damage.

In both cases, the results can be debilitating. Ms. Whitley also has dysautonomia – a disorder of the autonomic nervous system that can cause dizziness, sweating, and headaches along with fatigue and heart palpitations.

She said that she’s so forgetful that when she sees people socially, she’s nervous of what she’ll say. “I feel like I’m constantly sticking my foot in my mouth because I can’t remember details of other people’s lives,” she said.

Although brain disorders such as Alzheimer’s disease and other forms of dementia are marked by a slow decline, ABI occurs more suddenly and may include a loss of executive function and attention.

“With a brain injury, you’re doing fine, and then some event happens (in this case COVID), and immediately after that, your cognitive function is different,” said Dr. Jackson.

Additionally, ABI is an actual diagnosis, whereas brain fog is not.

“With a brain injury, there’s a treatment pathway for cognitive rehabilitation,” said Dr. Jackson.

Treatments may include speech, cognitive, and occupational therapy as well as meeting with a neuropsychiatrist for treatment of the mental and behavioral disorders that may result. Dr. Jackson said that while many patients aren’t functioning cognitively or physically at 100%, they can make enough strides that they don’t have to give up things such as driving and, in some cases, their jobs.

Other experts agree that long COVID may damage the brain. An April 2022 study published in the journal Nature found strong evidence that SARS-CoV-2 infection may cause brain-related abnormalities, for example, a reduction in gray matter in certain parts of the brain, including the prefrontal cortex, hypothalamus, and amygdala.

Additionally, white matter, which is found deeper in the brain and is responsible for the exchange of information between different parts of the brain, may also be at risk of damage as a result of the virus, according to a November 2022 study published in the journal SN Comprehensive Clinical Medicine.

Calling it a “fog” makes it easier for clinicians and the general public to dismiss its severity, said Tyler Reed Bell, PhD, a researcher who specializes in viruses that cause brain injury. He is a fellow in the department of psychiatry at the University of California, San Diego. Brain fog can make driving and returning to work especially dangerous. Because of difficulty focusing, patients are much more likely to make mistakes that cause accidents.

“The COVID virus is very invasive to the brain,” Dr. Bell said.

Others contend this may be a rush to judgment. Karla L. Thompson, PhD, lead neuropsychologist at the University of North Carolina at Chapel Hill’s COVID Recovery Clinic, agrees that in more serious cases of COVID that cause a lack of oxygen to the brain, it’s reasonable to call it a brain injury. But brain fog can also be associated with other long COVID symptoms, not just damage to the brain.

Chronic fatigue and poor sleep are both commonly reported symptoms of long COVID that negatively affect brain function, she said. Sleep disturbances, cardiac problems, dysautonomia, and emotional distress could also affect the way the brain functions post COVID. Finding the right treatment requires identifying all the factors contributing to cognitive impairment.

Part of the problem in treating long COVID brain fog is that diagnostic technology is not sensitive enough to detect inflammation that could be causing damage.

Grace McComsey, MD, who leads the long COVID RECOVER study at University Hospitals Health System in Cleveland, said her team is working on identifying biomarkers that could detect brain inflammation in a way similar to the manner researchers have identified biomarkers to help diagnose chronic fatigue syndrome. Additionally, a new study published last month in JAMA for the first time clearly defined 12 symptoms of long COVID, and brain fog was listed among them. All of this contributes to the development of clear diagnostic criteria.

“It will make a big difference once we have some consistency among clinicians in diagnosing the condition,” said Dr. McComsey.

Ms. Whitley is thankful for the treatment that she’s received thus far. She’s seeing a cognitive rehabilitation therapist, who assesses her memory, cognition, and attention span and gives her tools to break up simple tasks, such as driving, so that they don’t feel overwhelming. She’s back behind the wheel and back to work.

But perhaps most importantly, Ms. Whitley joined a support group, led by Dr. Jackson, that includes other people experiencing the same symptoms she is. When she was at her darkest, they understood.

“Talking to other survivors has been the only solace in all this,” Ms. Whitley said. “Together, we grieve all that’s been lost.”

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

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Postacute effects of COVID on par with those of sepsis, flu

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Posthospitalization risks associated with COVID-19 are similar to those associated with other infectious diseases, new research finds.
 

A large observational study examined population-wide data for 13 postacute conditions in patients who had been hospitalized with a COVID-19 infection and found that all but one of these conditions, venous thromboembolism, occurred at comparable rates in those hospitalized for sepsis and influenza.

“For us, the main takeaway was that patients hospitalized for severe illness in general really require ongoing treatment and support after they’re discharged. That type of care is often very challenging to coordinate for people in a sometimes siloed and fragmented health care system,” study author Kieran Quinn, MD, PhD, a clinician at Sinai Health in Toronto, and assistant professor at the University of Toronto, said in an interview.

The study was published in JAMA Internal Medicine.
 

Postacute effects

The investigators compared clinical and health administrative data from 26,499 Ontarians hospitalized with COVID-19 with data from three additional cohorts who had been hospitalized with influenza (17,516 patients) and sepsis. The sepsis cohort was divided into two groups, those hospitalized during the COVID-19 pandemic (52,878 patients) and a historical control population (282,473 patients).

These comparators allowed the researchers to compare COVID-19 with other severe infectious illnesses and control for any changes in health care delivery that may have occurred during the pandemic. The addition of sepsis cohorts was needed for the latter purpose, since influenza rates dropped significantly after the onset of the pandemic.

The study outcomes (including cardiovascular, neurological, and mental health conditions and rheumatoid arthritis) were selected based on previous associations with COVID-19 infections, as well as their availability in the data, according to Dr. Quinn. The investigators used diagnostic codes recorded in Ontario’s Institute for Clinical Evaluative Sciences database. The investigators observed some of the studied conditions in their own patients. “Many of us on the research team are practicing clinicians who care for people living with long COVID,” said Dr. Quinn.

Compared with cohorts with other serious infections, those hospitalized with COVID-19 were not at increased risk for selected cardiovascular or neurological disorders, rheumatoid arthritis, or mental health conditions within 1 year following hospitalization. Incident venous thromboembolic disease, however, was more common after hospitalization for COVID-19 than after hospitalization for influenza (adjusted hazard ratio, 1.77).

The study results corroborate previous findings that influenza and sepsis can have serious long-term health effects, such as heart failure, dementia, and depression, and found that the same was true for COVID-19 infections. For all three infections, patients at high risk require additional support after their initial discharge.
 

Defining long COVID

Although there was no increased risk with COVID-19 for most conditions, these results do not mean that the postacute effects of the infection, often called “long COVID,” are not significant, Dr. Quinn emphasized. The researcher believes that it’s important to listen to the many patients reporting symptoms and validate their experiences.

There needs to be greater consensus among the global health community on what constitutes long COVID. While the research led by Dr. Quinn focuses on postacute health conditions, some definitions of long COVID, such as that of the World Health Organization, refer only to ongoing symptoms of the original infection.

While there is now a diagnostic code for treating long COVID in Ontario, the data available to the researchers did not include information on some common symptoms of post-COVID condition, like chronic fatigue. In the data used, there was not an accurate way to identify patients who had developed conditions like myalgic encephalomyelitis/chronic fatigue syndrome and postural orthostatic tachycardia syndrome, said Dr. Quinn.

In addition to creating clear definitions and determining the best treatments, prevention is essential, said Dr. Quinn. Prior studies have shown that vaccination helps prevent ICU admission for COVID-19.
 

 

 

‘Important questions remain’

Commenting on the finding, Aravind Ganesh, MD, DPhil, a neurologist at the University of Calgary (Alta.), said that by including control populations, the study addressed an important limitation of previous research. Dr. Ganesh, who was not involved in the study, said that the controls help to determine the cause of associations found in other studies, including his own research on long-term symptoms following outpatient care for COVID-19.

“I think what this tells us is that maybe a lot of the issues that we’ve been seeing as complications attributable to COVID are, in fact, complications attributable to serious illness,” said Dr. Ganesh. He also found the association with venous thromboembolism interesting because the condition is recognized as a key risk factor for COVID-19 outcomes.

Compared with smaller randomized control trials, the population-level data provided a much larger sample size for the study. However, this design comes with limitations as well, Dr. Ganesh noted. The study relies on the administrative data of diagnostic codes and misses symptoms that aren’t associated with a diagnosis. In addition, because the cohorts were not assigned randomly, it may not account for preexisting risk factors.

While the study demonstrates associations with physical and mental health conditions, the cause of postacute effects from COVID-19, influenza, and sepsis is still unclear. “Important questions remain,” said Dr. Ganesh. “Why is it that these patients are experiencing these symptoms?”

The study was supported by ICES and the Canadian Institutes of Health Research. Dr. Quinn reported part-time employment at Public Health Ontario and stock in Pfizer and BioNTech. Dr. Ganesh reported no relevant financial relationships.

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

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Posthospitalization risks associated with COVID-19 are similar to those associated with other infectious diseases, new research finds.
 

A large observational study examined population-wide data for 13 postacute conditions in patients who had been hospitalized with a COVID-19 infection and found that all but one of these conditions, venous thromboembolism, occurred at comparable rates in those hospitalized for sepsis and influenza.

“For us, the main takeaway was that patients hospitalized for severe illness in general really require ongoing treatment and support after they’re discharged. That type of care is often very challenging to coordinate for people in a sometimes siloed and fragmented health care system,” study author Kieran Quinn, MD, PhD, a clinician at Sinai Health in Toronto, and assistant professor at the University of Toronto, said in an interview.

The study was published in JAMA Internal Medicine.
 

Postacute effects

The investigators compared clinical and health administrative data from 26,499 Ontarians hospitalized with COVID-19 with data from three additional cohorts who had been hospitalized with influenza (17,516 patients) and sepsis. The sepsis cohort was divided into two groups, those hospitalized during the COVID-19 pandemic (52,878 patients) and a historical control population (282,473 patients).

These comparators allowed the researchers to compare COVID-19 with other severe infectious illnesses and control for any changes in health care delivery that may have occurred during the pandemic. The addition of sepsis cohorts was needed for the latter purpose, since influenza rates dropped significantly after the onset of the pandemic.

The study outcomes (including cardiovascular, neurological, and mental health conditions and rheumatoid arthritis) were selected based on previous associations with COVID-19 infections, as well as their availability in the data, according to Dr. Quinn. The investigators used diagnostic codes recorded in Ontario’s Institute for Clinical Evaluative Sciences database. The investigators observed some of the studied conditions in their own patients. “Many of us on the research team are practicing clinicians who care for people living with long COVID,” said Dr. Quinn.

Compared with cohorts with other serious infections, those hospitalized with COVID-19 were not at increased risk for selected cardiovascular or neurological disorders, rheumatoid arthritis, or mental health conditions within 1 year following hospitalization. Incident venous thromboembolic disease, however, was more common after hospitalization for COVID-19 than after hospitalization for influenza (adjusted hazard ratio, 1.77).

The study results corroborate previous findings that influenza and sepsis can have serious long-term health effects, such as heart failure, dementia, and depression, and found that the same was true for COVID-19 infections. For all three infections, patients at high risk require additional support after their initial discharge.
 

Defining long COVID

Although there was no increased risk with COVID-19 for most conditions, these results do not mean that the postacute effects of the infection, often called “long COVID,” are not significant, Dr. Quinn emphasized. The researcher believes that it’s important to listen to the many patients reporting symptoms and validate their experiences.

There needs to be greater consensus among the global health community on what constitutes long COVID. While the research led by Dr. Quinn focuses on postacute health conditions, some definitions of long COVID, such as that of the World Health Organization, refer only to ongoing symptoms of the original infection.

While there is now a diagnostic code for treating long COVID in Ontario, the data available to the researchers did not include information on some common symptoms of post-COVID condition, like chronic fatigue. In the data used, there was not an accurate way to identify patients who had developed conditions like myalgic encephalomyelitis/chronic fatigue syndrome and postural orthostatic tachycardia syndrome, said Dr. Quinn.

In addition to creating clear definitions and determining the best treatments, prevention is essential, said Dr. Quinn. Prior studies have shown that vaccination helps prevent ICU admission for COVID-19.
 

 

 

‘Important questions remain’

Commenting on the finding, Aravind Ganesh, MD, DPhil, a neurologist at the University of Calgary (Alta.), said that by including control populations, the study addressed an important limitation of previous research. Dr. Ganesh, who was not involved in the study, said that the controls help to determine the cause of associations found in other studies, including his own research on long-term symptoms following outpatient care for COVID-19.

“I think what this tells us is that maybe a lot of the issues that we’ve been seeing as complications attributable to COVID are, in fact, complications attributable to serious illness,” said Dr. Ganesh. He also found the association with venous thromboembolism interesting because the condition is recognized as a key risk factor for COVID-19 outcomes.

Compared with smaller randomized control trials, the population-level data provided a much larger sample size for the study. However, this design comes with limitations as well, Dr. Ganesh noted. The study relies on the administrative data of diagnostic codes and misses symptoms that aren’t associated with a diagnosis. In addition, because the cohorts were not assigned randomly, it may not account for preexisting risk factors.

While the study demonstrates associations with physical and mental health conditions, the cause of postacute effects from COVID-19, influenza, and sepsis is still unclear. “Important questions remain,” said Dr. Ganesh. “Why is it that these patients are experiencing these symptoms?”

The study was supported by ICES and the Canadian Institutes of Health Research. Dr. Quinn reported part-time employment at Public Health Ontario and stock in Pfizer and BioNTech. Dr. Ganesh reported no relevant financial relationships.

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

Posthospitalization risks associated with COVID-19 are similar to those associated with other infectious diseases, new research finds.
 

A large observational study examined population-wide data for 13 postacute conditions in patients who had been hospitalized with a COVID-19 infection and found that all but one of these conditions, venous thromboembolism, occurred at comparable rates in those hospitalized for sepsis and influenza.

“For us, the main takeaway was that patients hospitalized for severe illness in general really require ongoing treatment and support after they’re discharged. That type of care is often very challenging to coordinate for people in a sometimes siloed and fragmented health care system,” study author Kieran Quinn, MD, PhD, a clinician at Sinai Health in Toronto, and assistant professor at the University of Toronto, said in an interview.

The study was published in JAMA Internal Medicine.
 

Postacute effects

The investigators compared clinical and health administrative data from 26,499 Ontarians hospitalized with COVID-19 with data from three additional cohorts who had been hospitalized with influenza (17,516 patients) and sepsis. The sepsis cohort was divided into two groups, those hospitalized during the COVID-19 pandemic (52,878 patients) and a historical control population (282,473 patients).

These comparators allowed the researchers to compare COVID-19 with other severe infectious illnesses and control for any changes in health care delivery that may have occurred during the pandemic. The addition of sepsis cohorts was needed for the latter purpose, since influenza rates dropped significantly after the onset of the pandemic.

The study outcomes (including cardiovascular, neurological, and mental health conditions and rheumatoid arthritis) were selected based on previous associations with COVID-19 infections, as well as their availability in the data, according to Dr. Quinn. The investigators used diagnostic codes recorded in Ontario’s Institute for Clinical Evaluative Sciences database. The investigators observed some of the studied conditions in their own patients. “Many of us on the research team are practicing clinicians who care for people living with long COVID,” said Dr. Quinn.

Compared with cohorts with other serious infections, those hospitalized with COVID-19 were not at increased risk for selected cardiovascular or neurological disorders, rheumatoid arthritis, or mental health conditions within 1 year following hospitalization. Incident venous thromboembolic disease, however, was more common after hospitalization for COVID-19 than after hospitalization for influenza (adjusted hazard ratio, 1.77).

The study results corroborate previous findings that influenza and sepsis can have serious long-term health effects, such as heart failure, dementia, and depression, and found that the same was true for COVID-19 infections. For all three infections, patients at high risk require additional support after their initial discharge.
 

Defining long COVID

Although there was no increased risk with COVID-19 for most conditions, these results do not mean that the postacute effects of the infection, often called “long COVID,” are not significant, Dr. Quinn emphasized. The researcher believes that it’s important to listen to the many patients reporting symptoms and validate their experiences.

There needs to be greater consensus among the global health community on what constitutes long COVID. While the research led by Dr. Quinn focuses on postacute health conditions, some definitions of long COVID, such as that of the World Health Organization, refer only to ongoing symptoms of the original infection.

While there is now a diagnostic code for treating long COVID in Ontario, the data available to the researchers did not include information on some common symptoms of post-COVID condition, like chronic fatigue. In the data used, there was not an accurate way to identify patients who had developed conditions like myalgic encephalomyelitis/chronic fatigue syndrome and postural orthostatic tachycardia syndrome, said Dr. Quinn.

In addition to creating clear definitions and determining the best treatments, prevention is essential, said Dr. Quinn. Prior studies have shown that vaccination helps prevent ICU admission for COVID-19.
 

 

 

‘Important questions remain’

Commenting on the finding, Aravind Ganesh, MD, DPhil, a neurologist at the University of Calgary (Alta.), said that by including control populations, the study addressed an important limitation of previous research. Dr. Ganesh, who was not involved in the study, said that the controls help to determine the cause of associations found in other studies, including his own research on long-term symptoms following outpatient care for COVID-19.

“I think what this tells us is that maybe a lot of the issues that we’ve been seeing as complications attributable to COVID are, in fact, complications attributable to serious illness,” said Dr. Ganesh. He also found the association with venous thromboembolism interesting because the condition is recognized as a key risk factor for COVID-19 outcomes.

Compared with smaller randomized control trials, the population-level data provided a much larger sample size for the study. However, this design comes with limitations as well, Dr. Ganesh noted. The study relies on the administrative data of diagnostic codes and misses symptoms that aren’t associated with a diagnosis. In addition, because the cohorts were not assigned randomly, it may not account for preexisting risk factors.

While the study demonstrates associations with physical and mental health conditions, the cause of postacute effects from COVID-19, influenza, and sepsis is still unclear. “Important questions remain,” said Dr. Ganesh. “Why is it that these patients are experiencing these symptoms?”

The study was supported by ICES and the Canadian Institutes of Health Research. Dr. Quinn reported part-time employment at Public Health Ontario and stock in Pfizer and BioNTech. Dr. Ganesh reported no relevant financial relationships.

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

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Diabetes may short circuit pembrolizumab benefits in NSCLC

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TOPLINE:

Pembrolizumab doesn’t work as well for patients with metastatic non–small cell lung cancer (NSCLC) who have diabetes.

METHODOLOGY:

  • Investigators reviewed the medical records of 203 consecutive patients with metastatic NSCLC who received first-line pembrolizumab either alone or in combination with chemotherapy at a single tertiary center in Israel.
  • Overall, 1 in 4 patients (n = 51) had diabetes mellitus; most (n = 42) were being treated with oral hypoglycemic agents, frequently metformin, and 7 were taking insulin.
  • Rates of tumors with PD‐L1 expression above 50% were not significantly different among patients with diabetes and those without.

TAKEAWAY:

  • Overall, among patients with diabetes, median progression-free survival (PFS) was significantly shorter than among patients without diabetes (5.9 vs. 7.1 months), as was overall survival (12 vs. 21 months).
  • Shorter overall survival was more pronounced among those with diabetes who received pembrolizumab alone (12 vs. 27 months) in comparison with patients who received pembrolizumab plus chemotherapy (14.3 vs. 19.4 months).
  • After adjusting for potential confounders, multivariate analysis confirmed that diabetes was an independent risk factor for shorter PFS (hazard ratio, 1.67) and shorter overall survival (HR, 1.73) for patients with NSCLC.
  • In a validation cohort of 452 patients with metastatic NSCLC, only 19.6% of those with diabetes continued to take pembrolizumab at 12 months versus 31.7% of those without diabetes.

IN PRACTICE:

“As NSCLC patients with [diabetes] constitute a significant subgroup, there is an urgent need to validate our findings and explore whether outcomes in these patients can be improved by better glycemic control,” the authors said, adding that “chemotherapy may offset some of the deleterious effects” of diabetes.

SOURCE:

The study was led by Yasmin Leshem, MD, PhD, of the Tel Aviv Sourasky Medical Center, and was published in Cancer.

LIMITATIONS:

  • Without access to blood test results outside the hospital, the researchers could not determine whether better glycemic control might have improved outcomes.
  • The incidence of type 1 or 2 diabetes was not well documented.

DISCLOSURES:

  • No funding source was reported.
  • Two investigators reported receiving consulting and/or other fees from Bristol-Myers Squibb, Roche, Merck, Novartis, and Merck Sharp and Dohme.

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

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TOPLINE:

Pembrolizumab doesn’t work as well for patients with metastatic non–small cell lung cancer (NSCLC) who have diabetes.

METHODOLOGY:

  • Investigators reviewed the medical records of 203 consecutive patients with metastatic NSCLC who received first-line pembrolizumab either alone or in combination with chemotherapy at a single tertiary center in Israel.
  • Overall, 1 in 4 patients (n = 51) had diabetes mellitus; most (n = 42) were being treated with oral hypoglycemic agents, frequently metformin, and 7 were taking insulin.
  • Rates of tumors with PD‐L1 expression above 50% were not significantly different among patients with diabetes and those without.

TAKEAWAY:

  • Overall, among patients with diabetes, median progression-free survival (PFS) was significantly shorter than among patients without diabetes (5.9 vs. 7.1 months), as was overall survival (12 vs. 21 months).
  • Shorter overall survival was more pronounced among those with diabetes who received pembrolizumab alone (12 vs. 27 months) in comparison with patients who received pembrolizumab plus chemotherapy (14.3 vs. 19.4 months).
  • After adjusting for potential confounders, multivariate analysis confirmed that diabetes was an independent risk factor for shorter PFS (hazard ratio, 1.67) and shorter overall survival (HR, 1.73) for patients with NSCLC.
  • In a validation cohort of 452 patients with metastatic NSCLC, only 19.6% of those with diabetes continued to take pembrolizumab at 12 months versus 31.7% of those without diabetes.

IN PRACTICE:

“As NSCLC patients with [diabetes] constitute a significant subgroup, there is an urgent need to validate our findings and explore whether outcomes in these patients can be improved by better glycemic control,” the authors said, adding that “chemotherapy may offset some of the deleterious effects” of diabetes.

SOURCE:

The study was led by Yasmin Leshem, MD, PhD, of the Tel Aviv Sourasky Medical Center, and was published in Cancer.

LIMITATIONS:

  • Without access to blood test results outside the hospital, the researchers could not determine whether better glycemic control might have improved outcomes.
  • The incidence of type 1 or 2 diabetes was not well documented.

DISCLOSURES:

  • No funding source was reported.
  • Two investigators reported receiving consulting and/or other fees from Bristol-Myers Squibb, Roche, Merck, Novartis, and Merck Sharp and Dohme.

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

 

TOPLINE:

Pembrolizumab doesn’t work as well for patients with metastatic non–small cell lung cancer (NSCLC) who have diabetes.

METHODOLOGY:

  • Investigators reviewed the medical records of 203 consecutive patients with metastatic NSCLC who received first-line pembrolizumab either alone or in combination with chemotherapy at a single tertiary center in Israel.
  • Overall, 1 in 4 patients (n = 51) had diabetes mellitus; most (n = 42) were being treated with oral hypoglycemic agents, frequently metformin, and 7 were taking insulin.
  • Rates of tumors with PD‐L1 expression above 50% were not significantly different among patients with diabetes and those without.

TAKEAWAY:

  • Overall, among patients with diabetes, median progression-free survival (PFS) was significantly shorter than among patients without diabetes (5.9 vs. 7.1 months), as was overall survival (12 vs. 21 months).
  • Shorter overall survival was more pronounced among those with diabetes who received pembrolizumab alone (12 vs. 27 months) in comparison with patients who received pembrolizumab plus chemotherapy (14.3 vs. 19.4 months).
  • After adjusting for potential confounders, multivariate analysis confirmed that diabetes was an independent risk factor for shorter PFS (hazard ratio, 1.67) and shorter overall survival (HR, 1.73) for patients with NSCLC.
  • In a validation cohort of 452 patients with metastatic NSCLC, only 19.6% of those with diabetes continued to take pembrolizumab at 12 months versus 31.7% of those without diabetes.

IN PRACTICE:

“As NSCLC patients with [diabetes] constitute a significant subgroup, there is an urgent need to validate our findings and explore whether outcomes in these patients can be improved by better glycemic control,” the authors said, adding that “chemotherapy may offset some of the deleterious effects” of diabetes.

SOURCE:

The study was led by Yasmin Leshem, MD, PhD, of the Tel Aviv Sourasky Medical Center, and was published in Cancer.

LIMITATIONS:

  • Without access to blood test results outside the hospital, the researchers could not determine whether better glycemic control might have improved outcomes.
  • The incidence of type 1 or 2 diabetes was not well documented.

DISCLOSURES:

  • No funding source was reported.
  • Two investigators reported receiving consulting and/or other fees from Bristol-Myers Squibb, Roche, Merck, Novartis, and Merck Sharp and Dohme.

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

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Cannabis for cancer symptoms: Perceived or real benefit?

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TOPLINE:

Adults receiving cancer treatment who use cannabis perceived benefits regarding pain, sleep, nausea, and other factors but also reported worse physical and psychological symptoms.

METHODOLOGY:

  • Participants included 267 adults (mean age, 58 years; 70% women; 88% White) undergoing treatment for cancer, most commonly breast (47%) and ovarian (29%).
  • Participants completed online surveys to characterize cannabis use, reasons for using it, perceived benefits and harms, and physical/psychological symptoms.
  • Participants who had used cannabis for more than 1 day during the previous 30 days were compared with those who had not.

TAKEAWAY:

  • Overall, 26% of respondents reported cannabis use in the past 30 days, most often edibles (65%) or smoked cannabis (51%).
  • Cannabis users were more likely to be younger, male, Black, to have lower income, worse physical/psychological symptoms, and to be disabled or unable to work in comparison with nonusers.
  • Cannabis was used to treat pain, cancer, sleep problems, anxiety, nausea, and poor appetite; perceived benefits were greatest with respect to sleep, nausea, pain, muscle spasms, and anxiety.
  • Despite perceived benefits, cannabis users reported worse overall distress, anxiety, sleep disturbances, appetite, nausea, fatigue, and pain.

IN PRACTICE:

“The study findings indicate that patients with cancer perceived benefits to using cannabis for many symptoms” but also revealed that “those who used cannabis in the past 30 days had significantly worse symptom profiles overall than those who did not use cannabis,” the authors wrote.

SOURCE:

The study, led by Desiree R. Azizoddin, PsyD, University of Oklahoma Health Science Center, Oklahoma City, was published online in Cancer.

LIMITATIONS:

It’s not known whether adults who used cannabis had significantly worse symptoms at the outset, which may have prompted cannabis use, or whether cannabis use may have exacerbated their symptoms.

DISCLOSURES:

Funding for the study was provided by grants from the National Cancer Institute and the Oklahoma Tobacco Settlement Endowment Trust. Nine of the 10 authors have disclosed no relevant conflicts of interest. One author has relationships with various pharmaceutical companies involved in oncology.

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

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TOPLINE:

Adults receiving cancer treatment who use cannabis perceived benefits regarding pain, sleep, nausea, and other factors but also reported worse physical and psychological symptoms.

METHODOLOGY:

  • Participants included 267 adults (mean age, 58 years; 70% women; 88% White) undergoing treatment for cancer, most commonly breast (47%) and ovarian (29%).
  • Participants completed online surveys to characterize cannabis use, reasons for using it, perceived benefits and harms, and physical/psychological symptoms.
  • Participants who had used cannabis for more than 1 day during the previous 30 days were compared with those who had not.

TAKEAWAY:

  • Overall, 26% of respondents reported cannabis use in the past 30 days, most often edibles (65%) or smoked cannabis (51%).
  • Cannabis users were more likely to be younger, male, Black, to have lower income, worse physical/psychological symptoms, and to be disabled or unable to work in comparison with nonusers.
  • Cannabis was used to treat pain, cancer, sleep problems, anxiety, nausea, and poor appetite; perceived benefits were greatest with respect to sleep, nausea, pain, muscle spasms, and anxiety.
  • Despite perceived benefits, cannabis users reported worse overall distress, anxiety, sleep disturbances, appetite, nausea, fatigue, and pain.

IN PRACTICE:

“The study findings indicate that patients with cancer perceived benefits to using cannabis for many symptoms” but also revealed that “those who used cannabis in the past 30 days had significantly worse symptom profiles overall than those who did not use cannabis,” the authors wrote.

SOURCE:

The study, led by Desiree R. Azizoddin, PsyD, University of Oklahoma Health Science Center, Oklahoma City, was published online in Cancer.

LIMITATIONS:

It’s not known whether adults who used cannabis had significantly worse symptoms at the outset, which may have prompted cannabis use, or whether cannabis use may have exacerbated their symptoms.

DISCLOSURES:

Funding for the study was provided by grants from the National Cancer Institute and the Oklahoma Tobacco Settlement Endowment Trust. Nine of the 10 authors have disclosed no relevant conflicts of interest. One author has relationships with various pharmaceutical companies involved in oncology.

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

 

TOPLINE:

Adults receiving cancer treatment who use cannabis perceived benefits regarding pain, sleep, nausea, and other factors but also reported worse physical and psychological symptoms.

METHODOLOGY:

  • Participants included 267 adults (mean age, 58 years; 70% women; 88% White) undergoing treatment for cancer, most commonly breast (47%) and ovarian (29%).
  • Participants completed online surveys to characterize cannabis use, reasons for using it, perceived benefits and harms, and physical/psychological symptoms.
  • Participants who had used cannabis for more than 1 day during the previous 30 days were compared with those who had not.

TAKEAWAY:

  • Overall, 26% of respondents reported cannabis use in the past 30 days, most often edibles (65%) or smoked cannabis (51%).
  • Cannabis users were more likely to be younger, male, Black, to have lower income, worse physical/psychological symptoms, and to be disabled or unable to work in comparison with nonusers.
  • Cannabis was used to treat pain, cancer, sleep problems, anxiety, nausea, and poor appetite; perceived benefits were greatest with respect to sleep, nausea, pain, muscle spasms, and anxiety.
  • Despite perceived benefits, cannabis users reported worse overall distress, anxiety, sleep disturbances, appetite, nausea, fatigue, and pain.

IN PRACTICE:

“The study findings indicate that patients with cancer perceived benefits to using cannabis for many symptoms” but also revealed that “those who used cannabis in the past 30 days had significantly worse symptom profiles overall than those who did not use cannabis,” the authors wrote.

SOURCE:

The study, led by Desiree R. Azizoddin, PsyD, University of Oklahoma Health Science Center, Oklahoma City, was published online in Cancer.

LIMITATIONS:

It’s not known whether adults who used cannabis had significantly worse symptoms at the outset, which may have prompted cannabis use, or whether cannabis use may have exacerbated their symptoms.

DISCLOSURES:

Funding for the study was provided by grants from the National Cancer Institute and the Oklahoma Tobacco Settlement Endowment Trust. Nine of the 10 authors have disclosed no relevant conflicts of interest. One author has relationships with various pharmaceutical companies involved in oncology.

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

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Necessary Updates to Skin Cancer Risk Stratification

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Necessary Updates to Skin Cancer Risk Stratification
References

1. Powers JG, Patel NA, Powers EA, Mayer JE, Stricklin GP, Geller AC. Skin cancer
risk factors and preventative behaviors among United States military veterans deployed to Iraq and Afghanistan. J Invest Dermatol. 2015;135:2871-2873.
2. Balci S, Ayaz L, Gorur A, Yildirim Yaroglu H, Akbayir S, Dogruer Unal N, Bulut B,
Tursen U, Tamer L. microRNA profiling for early detection of nonmelanoma skin cancer. Clin Exp Dermatol. 2016;41(4):346-51. doi:10.1111/ced.12736
3. Siegel RL, Miller KD, Fuchs HE, Jemal A. Cancer statistics, 2022. CA Cancer J Clin. 2022;72(1):7-33. doi:10.3322/caac.21708
4. Agbai ON, Buster K, Sanchez M, Hernandez C, Kundu RV, Chiu M, et al. Skin cancer and photoprotection in people of color: a review and recommendations for physicians and the public. J Am Acad Dermatol. 2014;70(4):748-62.
5. Chou SE, Gaysynsky A, Trivedi N, Vanderpool R. Using social media for health: national data from HINTS 2019. Journ of Health Comm. 2019;26(3):184-193. doi:10.1080/10810730.2021.1903627
6. Stern RS. Prevalence of a history of skin cancer in 2007: results of an incidence-based model. Arch Dermatol. 2010;146(3):279-82.
7. Dennis LK, et al. Sunburns and risk of cutaneous melanoma: does age matter? A comprehensive meta-analysis. Annals of Epidem. 2008;18(8):614-627. doi:10.1016/j.annepidem.2008.04.006
8. Wu S, Han J, Laden F, Qureshi AA. Long-term ultraviolet flux, other potential risk factors, and skin cancer risk: a cohort study. Cancer Epidemiol Biomar Prev. 2014;23(6):1080-1089.
9. 2020 Demographics Profile of the military community. US Department of Defense. 2020:iv. Accessed November 15, 2022. 2020 Demographics Profile of the Military Community (militaryonesource.mil)
10. Apalla Z, Lallas A, Sotiriou E, Lazaridou E, Ioannides D. Epidemiological trends in skin cancer. Dermatol Pract Concept. 2017;7:1-6.
11. Basch CH, Hillyer GC. Skin cancer on Instagram: implications for adolescents and young adults. Int J Adolesc Med Health. 2022;34(3). doi:10.1515/ijamh-2019-0218

Author and Disclosure Information

Willis ‘Hugh’ Lyford, MD, FAAD
Staff Dermatologist, Naval Medical Center
Assistant Professor of Dermatology,
Uniformed Services University of the Health Sciences
San Diego, CA

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Willis ‘Hugh’ Lyford, MD, FAAD
Staff Dermatologist, Naval Medical Center
Assistant Professor of Dermatology,
Uniformed Services University of the Health Sciences
San Diego, CA

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Willis ‘Hugh’ Lyford, MD, FAAD
Staff Dermatologist, Naval Medical Center
Assistant Professor of Dermatology,
Uniformed Services University of the Health Sciences
San Diego, CA

References

1. Powers JG, Patel NA, Powers EA, Mayer JE, Stricklin GP, Geller AC. Skin cancer
risk factors and preventative behaviors among United States military veterans deployed to Iraq and Afghanistan. J Invest Dermatol. 2015;135:2871-2873.
2. Balci S, Ayaz L, Gorur A, Yildirim Yaroglu H, Akbayir S, Dogruer Unal N, Bulut B,
Tursen U, Tamer L. microRNA profiling for early detection of nonmelanoma skin cancer. Clin Exp Dermatol. 2016;41(4):346-51. doi:10.1111/ced.12736
3. Siegel RL, Miller KD, Fuchs HE, Jemal A. Cancer statistics, 2022. CA Cancer J Clin. 2022;72(1):7-33. doi:10.3322/caac.21708
4. Agbai ON, Buster K, Sanchez M, Hernandez C, Kundu RV, Chiu M, et al. Skin cancer and photoprotection in people of color: a review and recommendations for physicians and the public. J Am Acad Dermatol. 2014;70(4):748-62.
5. Chou SE, Gaysynsky A, Trivedi N, Vanderpool R. Using social media for health: national data from HINTS 2019. Journ of Health Comm. 2019;26(3):184-193. doi:10.1080/10810730.2021.1903627
6. Stern RS. Prevalence of a history of skin cancer in 2007: results of an incidence-based model. Arch Dermatol. 2010;146(3):279-82.
7. Dennis LK, et al. Sunburns and risk of cutaneous melanoma: does age matter? A comprehensive meta-analysis. Annals of Epidem. 2008;18(8):614-627. doi:10.1016/j.annepidem.2008.04.006
8. Wu S, Han J, Laden F, Qureshi AA. Long-term ultraviolet flux, other potential risk factors, and skin cancer risk: a cohort study. Cancer Epidemiol Biomar Prev. 2014;23(6):1080-1089.
9. 2020 Demographics Profile of the military community. US Department of Defense. 2020:iv. Accessed November 15, 2022. 2020 Demographics Profile of the Military Community (militaryonesource.mil)
10. Apalla Z, Lallas A, Sotiriou E, Lazaridou E, Ioannides D. Epidemiological trends in skin cancer. Dermatol Pract Concept. 2017;7:1-6.
11. Basch CH, Hillyer GC. Skin cancer on Instagram: implications for adolescents and young adults. Int J Adolesc Med Health. 2022;34(3). doi:10.1515/ijamh-2019-0218

References

1. Powers JG, Patel NA, Powers EA, Mayer JE, Stricklin GP, Geller AC. Skin cancer
risk factors and preventative behaviors among United States military veterans deployed to Iraq and Afghanistan. J Invest Dermatol. 2015;135:2871-2873.
2. Balci S, Ayaz L, Gorur A, Yildirim Yaroglu H, Akbayir S, Dogruer Unal N, Bulut B,
Tursen U, Tamer L. microRNA profiling for early detection of nonmelanoma skin cancer. Clin Exp Dermatol. 2016;41(4):346-51. doi:10.1111/ced.12736
3. Siegel RL, Miller KD, Fuchs HE, Jemal A. Cancer statistics, 2022. CA Cancer J Clin. 2022;72(1):7-33. doi:10.3322/caac.21708
4. Agbai ON, Buster K, Sanchez M, Hernandez C, Kundu RV, Chiu M, et al. Skin cancer and photoprotection in people of color: a review and recommendations for physicians and the public. J Am Acad Dermatol. 2014;70(4):748-62.
5. Chou SE, Gaysynsky A, Trivedi N, Vanderpool R. Using social media for health: national data from HINTS 2019. Journ of Health Comm. 2019;26(3):184-193. doi:10.1080/10810730.2021.1903627
6. Stern RS. Prevalence of a history of skin cancer in 2007: results of an incidence-based model. Arch Dermatol. 2010;146(3):279-82.
7. Dennis LK, et al. Sunburns and risk of cutaneous melanoma: does age matter? A comprehensive meta-analysis. Annals of Epidem. 2008;18(8):614-627. doi:10.1016/j.annepidem.2008.04.006
8. Wu S, Han J, Laden F, Qureshi AA. Long-term ultraviolet flux, other potential risk factors, and skin cancer risk: a cohort study. Cancer Epidemiol Biomar Prev. 2014;23(6):1080-1089.
9. 2020 Demographics Profile of the military community. US Department of Defense. 2020:iv. Accessed November 15, 2022. 2020 Demographics Profile of the Military Community (militaryonesource.mil)
10. Apalla Z, Lallas A, Sotiriou E, Lazaridou E, Ioannides D. Epidemiological trends in skin cancer. Dermatol Pract Concept. 2017;7:1-6.
11. Basch CH, Hillyer GC. Skin cancer on Instagram: implications for adolescents and young adults. Int J Adolesc Med Health. 2022;34(3). doi:10.1515/ijamh-2019-0218

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It is becoming increasingly evident that members of the US military and veterans have higher risk factors for melanoma and nonmelanoma skin cancers due to occupational sun exposure. They may not have access to protection (ie, topical sunscreens, wide-brimmed hats, or ultraviolet-repellent clothing) and may lack awareness of the risks associated with certain military occupations that require prolonged sun exposure. Soldiers have reported low sunscreen usage, and few veterans recall the US military providing education on skin cancer risks during their service.

When detected and treated early, common forms of nonmelanoma skin cancer can have a survival rate higher than 95%.2 In some basal and squamous cell carcinoma cases, the cancer can be completely removed with the initial biopsy procedure alone. Skin cancer can affect anyone, regardless of skin color or ethnic background. The skin cancer diagnosis rate among non-Hispanic White individuals is roughly 30 times higher than that of people who are Hispanic, Black, Asian, or Pacific Islander.3 Unfortunately, skin cancer in patients with darker skin tones is usually diagnosed in a later stage, when it is more difficult to treat and outcomes are worse.3,4 Thus, people with darker skin tones are less likely than people with lighter skin tones to survive melanoma.

Two potentially underused resources that could assist with timelier awareness, diagnosis, and treatment of skin cancer for veterans and active-duty personnel include the use of artificial intelligence (AI) technology and social media platforms. 

Technology-enhanced detection of skin cancer through AI can assist dermatologists in clinical diagnosis and treatment of skin cancer, and also promote greater access to high-quality skin assessments for patients.Dermatologists can help provide access to a repository of diverse sets of data and images that are necessary for building these AI models; therefore, dermatologists can play a valuable role in the development and deployment of AI capabilities that can be applied to skin cancer diagnosis.

The use of social media to spread awareness of skin cancer risks and prevention is critical, especially among active-duty military members who are occupationally exposed to the sun. In 2019, the Health Information National Trends Survey (HINTS) showed that approximately 86% of internet users reported participating in at least 1 social media activity.Given the increasing use and influence of social media and its effects on human behavior, this resource can be used as a powerful tool to promote awareness and education and encourage sun protection and regular dermatological screenings, by targeting groups that identify as either active-duty military members or veterans for campaigns to raise awareness.

Veterans and active-duty military members alike need to be informed about skin cancer risks and prevention methods like self-skin evaluations. Using a combination of AI and social media, we can better educate and diagnose our active-duty and veteran patients now and in the future.
 

The views expressed in this article are those of the author and do not necessarily reflect the official policy or position of the Department of the Navy, Department of Defense, nor the U.S. Government.

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Gender Disparity in Breast Cancer Among US Veterans

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Gender Disparity in Breast Cancer Among US Veterans
References

1. Giordano SH, Cohen DS, Buzdar AU, Perkins G, Hortobagyi GN. Breast carcinoma in men: a population-based study. Cancer. 2004;101(1):51-57. doi:10.1002/cncr.20312
2. Key statistics for breast cancer in men. American Cancer Society. Updated January 12, 2022. Accessed December 14, 2022. https://www.cancer.org/cancer/breast-cancer-in-men/about/key-statistics.html
3. Aggarwal A, Adepoju B, Yacur M, Maron D, Sharma MH. Gender disparity in breast cancer: a veteran population-based comparison. Clin Breast Cancer. 2021;21(4):e471-e478. doi:10.1016/j.clbc.2021.01.013
4. Ravandi-Kashani F, Hayes TG. Male breast cancer: a review of the literature. Eur J Cancer. 1998;34(9):1341-1347. doi:10.1016/s0959-8049(98)00028-8
5. Giordano SH. A review of diagnosis and management of male breast cancer. Oncologist. 2005;10(7):471-479. doi:10.1634/theoncologist.10-7-471
6. Midding E, Halbach SM, Kowalski C, Weber R, Würstlein R, Ernstmann N. Men with a “woman's disease”: stigmatization of male breast cancer patients—a mixed methods analysis. Am J Mens Health. 2018;12(6):2194-2207. doi:10.1177/1557988318799025
7. Key statistics for breast cancer. American Cancer Society. Updated October 6, 2022. Accessed December 14, 2022. https://www.cancer.org/cancer/breast-cancer/about/how-common-is-breast-cancer.html
8. Male breast cancer incidence and mortality, United States—2013-2017. Centers for Disease Control and Prevention. Updated October 1, 2020. Accessed December 14, 2022. https://www.cdc.gov/cancer/uscs/about/data-briefs/no19-male-breast-cancer-incidence-mortality-UnitedStates-2013-2017.htm
9. Anderson WF, Althuis MD, Brinton LA, Devesa SS. Is male breast cancer similar or different than female breast cancer? Breast Cancer Res Treat. 2004;83(1):77-86. doi:10.1023/B:BREA.0000010701.08825.2d                                                                              10. Pritzlaff M, Summerour P, McFarland R, et al. Male breast cancer in a multi-gene panel testing cohort: insights and unexpected results. Breast Cancer Res Treat. 2017;161(3):575-586. doi:10.1007/s10549-016-4085-4
11. Ottini L, Capalbo C, Rizzolo P, et al. HER2-positive male breast cancer: an update. Breast Cancer (Dove Med Press). 2010;2:45-58. doi:10.2147/BCTT.S6519
12. Risk factors for breast cancer in men. American Cancer Society. Updated April 27, 2018. Accessed December 14, 2022. https://www.cancer.org/cancer/breast-cancer-in-men/causes-risks-prevention/risk-factors.html
13. Palli D, Masala G, Mariani-Constantini R, et al. A gene–environment interaction between occupation and BRCA1/BRCA2 mutations in male breast cancer? Eur J Cancer. 2004;40(16):2472-2479. doi:10.1016/j.ejca.2004.07.012
14. Hansen J. Elevated risk for male breast cancer after occupational exposure to gasoline and vehicular combustion products. Am J Ind Med. 2000;37(4):349-352. doi:10.1002/(sici)1097-0274(200004)37:4&lt;349::aid-ajim4&gt;3.0.co;2-l
15. Sung H, DeSantis C, Jemal A. Subtype-specific breast cancer incidence rates in Black versus White men in the United States. JNCI Cancer Spectr. 2020;4(1):pkz091. doi:10.1093/jncics/pkz091
16. Breast cancer, male: statistics. Cancer.net. January 2022. Accessed December 14, 2022. https://www.cancer.net/cancer-types/breast-cancer-male/statistics

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Anita Aggarwal, DO, PhD
Chief, Hematology-Oncology Section, DC VA Medical Center
Professor of Medicine, George Washington University
Adjunct Professor, USUHS
Adjunct Clinical Professor of Medicine, Georgetown University
Washington, DC

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Anita Aggarwal, DO, PhD
Chief, Hematology-Oncology Section, DC VA Medical Center
Professor of Medicine, George Washington University
Adjunct Professor, USUHS
Adjunct Clinical Professor of Medicine, Georgetown University
Washington, DC

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Anita Aggarwal, DO, PhD
Chief, Hematology-Oncology Section, DC VA Medical Center
Professor of Medicine, George Washington University
Adjunct Professor, USUHS
Adjunct Clinical Professor of Medicine, Georgetown University
Washington, DC

References

1. Giordano SH, Cohen DS, Buzdar AU, Perkins G, Hortobagyi GN. Breast carcinoma in men: a population-based study. Cancer. 2004;101(1):51-57. doi:10.1002/cncr.20312
2. Key statistics for breast cancer in men. American Cancer Society. Updated January 12, 2022. Accessed December 14, 2022. https://www.cancer.org/cancer/breast-cancer-in-men/about/key-statistics.html
3. Aggarwal A, Adepoju B, Yacur M, Maron D, Sharma MH. Gender disparity in breast cancer: a veteran population-based comparison. Clin Breast Cancer. 2021;21(4):e471-e478. doi:10.1016/j.clbc.2021.01.013
4. Ravandi-Kashani F, Hayes TG. Male breast cancer: a review of the literature. Eur J Cancer. 1998;34(9):1341-1347. doi:10.1016/s0959-8049(98)00028-8
5. Giordano SH. A review of diagnosis and management of male breast cancer. Oncologist. 2005;10(7):471-479. doi:10.1634/theoncologist.10-7-471
6. Midding E, Halbach SM, Kowalski C, Weber R, Würstlein R, Ernstmann N. Men with a “woman's disease”: stigmatization of male breast cancer patients—a mixed methods analysis. Am J Mens Health. 2018;12(6):2194-2207. doi:10.1177/1557988318799025
7. Key statistics for breast cancer. American Cancer Society. Updated October 6, 2022. Accessed December 14, 2022. https://www.cancer.org/cancer/breast-cancer/about/how-common-is-breast-cancer.html
8. Male breast cancer incidence and mortality, United States—2013-2017. Centers for Disease Control and Prevention. Updated October 1, 2020. Accessed December 14, 2022. https://www.cdc.gov/cancer/uscs/about/data-briefs/no19-male-breast-cancer-incidence-mortality-UnitedStates-2013-2017.htm
9. Anderson WF, Althuis MD, Brinton LA, Devesa SS. Is male breast cancer similar or different than female breast cancer? Breast Cancer Res Treat. 2004;83(1):77-86. doi:10.1023/B:BREA.0000010701.08825.2d                                                                              10. Pritzlaff M, Summerour P, McFarland R, et al. Male breast cancer in a multi-gene panel testing cohort: insights and unexpected results. Breast Cancer Res Treat. 2017;161(3):575-586. doi:10.1007/s10549-016-4085-4
11. Ottini L, Capalbo C, Rizzolo P, et al. HER2-positive male breast cancer: an update. Breast Cancer (Dove Med Press). 2010;2:45-58. doi:10.2147/BCTT.S6519
12. Risk factors for breast cancer in men. American Cancer Society. Updated April 27, 2018. Accessed December 14, 2022. https://www.cancer.org/cancer/breast-cancer-in-men/causes-risks-prevention/risk-factors.html
13. Palli D, Masala G, Mariani-Constantini R, et al. A gene–environment interaction between occupation and BRCA1/BRCA2 mutations in male breast cancer? Eur J Cancer. 2004;40(16):2472-2479. doi:10.1016/j.ejca.2004.07.012
14. Hansen J. Elevated risk for male breast cancer after occupational exposure to gasoline and vehicular combustion products. Am J Ind Med. 2000;37(4):349-352. doi:10.1002/(sici)1097-0274(200004)37:4&lt;349::aid-ajim4&gt;3.0.co;2-l
15. Sung H, DeSantis C, Jemal A. Subtype-specific breast cancer incidence rates in Black versus White men in the United States. JNCI Cancer Spectr. 2020;4(1):pkz091. doi:10.1093/jncics/pkz091
16. Breast cancer, male: statistics. Cancer.net. January 2022. Accessed December 14, 2022. https://www.cancer.net/cancer-types/breast-cancer-male/statistics

References

1. Giordano SH, Cohen DS, Buzdar AU, Perkins G, Hortobagyi GN. Breast carcinoma in men: a population-based study. Cancer. 2004;101(1):51-57. doi:10.1002/cncr.20312
2. Key statistics for breast cancer in men. American Cancer Society. Updated January 12, 2022. Accessed December 14, 2022. https://www.cancer.org/cancer/breast-cancer-in-men/about/key-statistics.html
3. Aggarwal A, Adepoju B, Yacur M, Maron D, Sharma MH. Gender disparity in breast cancer: a veteran population-based comparison. Clin Breast Cancer. 2021;21(4):e471-e478. doi:10.1016/j.clbc.2021.01.013
4. Ravandi-Kashani F, Hayes TG. Male breast cancer: a review of the literature. Eur J Cancer. 1998;34(9):1341-1347. doi:10.1016/s0959-8049(98)00028-8
5. Giordano SH. A review of diagnosis and management of male breast cancer. Oncologist. 2005;10(7):471-479. doi:10.1634/theoncologist.10-7-471
6. Midding E, Halbach SM, Kowalski C, Weber R, Würstlein R, Ernstmann N. Men with a “woman's disease”: stigmatization of male breast cancer patients—a mixed methods analysis. Am J Mens Health. 2018;12(6):2194-2207. doi:10.1177/1557988318799025
7. Key statistics for breast cancer. American Cancer Society. Updated October 6, 2022. Accessed December 14, 2022. https://www.cancer.org/cancer/breast-cancer/about/how-common-is-breast-cancer.html
8. Male breast cancer incidence and mortality, United States—2013-2017. Centers for Disease Control and Prevention. Updated October 1, 2020. Accessed December 14, 2022. https://www.cdc.gov/cancer/uscs/about/data-briefs/no19-male-breast-cancer-incidence-mortality-UnitedStates-2013-2017.htm
9. Anderson WF, Althuis MD, Brinton LA, Devesa SS. Is male breast cancer similar or different than female breast cancer? Breast Cancer Res Treat. 2004;83(1):77-86. doi:10.1023/B:BREA.0000010701.08825.2d                                                                              10. Pritzlaff M, Summerour P, McFarland R, et al. Male breast cancer in a multi-gene panel testing cohort: insights and unexpected results. Breast Cancer Res Treat. 2017;161(3):575-586. doi:10.1007/s10549-016-4085-4
11. Ottini L, Capalbo C, Rizzolo P, et al. HER2-positive male breast cancer: an update. Breast Cancer (Dove Med Press). 2010;2:45-58. doi:10.2147/BCTT.S6519
12. Risk factors for breast cancer in men. American Cancer Society. Updated April 27, 2018. Accessed December 14, 2022. https://www.cancer.org/cancer/breast-cancer-in-men/causes-risks-prevention/risk-factors.html
13. Palli D, Masala G, Mariani-Constantini R, et al. A gene–environment interaction between occupation and BRCA1/BRCA2 mutations in male breast cancer? Eur J Cancer. 2004;40(16):2472-2479. doi:10.1016/j.ejca.2004.07.012
14. Hansen J. Elevated risk for male breast cancer after occupational exposure to gasoline and vehicular combustion products. Am J Ind Med. 2000;37(4):349-352. doi:10.1002/(sici)1097-0274(200004)37:4&lt;349::aid-ajim4&gt;3.0.co;2-l
15. Sung H, DeSantis C, Jemal A. Subtype-specific breast cancer incidence rates in Black versus White men in the United States. JNCI Cancer Spectr. 2020;4(1):pkz091. doi:10.1093/jncics/pkz091
16. Breast cancer, male: statistics. Cancer.net. January 2022. Accessed December 14, 2022. https://www.cancer.net/cancer-types/breast-cancer-male/statistics

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While breast cancer is the number one diagnosed cancer in women, it is one of the rarest forms of cancer in men (accounting for 1% of all breast cancers diagnosed); however, the incidence of breast cancer in men is increasing.1,2 Risk of breast cancer in males persists for at least 20 years after the diagnosis and depends on clinical features of the cancer. Currently, screening recommendations for men are lacking and there is a need for more awareness of the disease in men. Breast cancer develops in male veterans more often from toxic exposures during their deployment, such as Agent Orange and burn pits.

Male and female breast cancer characteristics share some similarities but differ notably. Symptoms of male breast cancer dif fer from those seen in females. Males with breast cancer typically present with gynecomastia, mass under the nipple, or pain in the breast, whereas breast cancer in females is usually diagnosed by either a screening mammogram or self-palpated breast mass. Although infiltrating ductal carcinoma is the most common tumor type in both male and female patients, male breast cancer has clinicopathologic differences. Male breast cancer is positive for hormone receptors (estrogen receptor-positive [ER+]/progesterone receptor-positive [PR+], human epidermal growth factor receptor 2 [HER2]-negative) in 84% of cases compared to 50% to 60% of female breast cancer cases. Males are usually older at the time of diagnosis and present with a higher stage of breast cancer; therefore, their survival rate is lower than that of females.3-5 Men are diagnosed with later-stage disease most likely because of the lack of screening mammograms.

Treatment remains the same in males and females, stage by stage. Because of the small amount of breast tissue, males need mastectomy as their surgical treatment, whereas females can have a lumpectomy or mastectomy. Most males with breast cancer refuse to take tamoxifen because of the side effect of hot flashes, and because male breast cancer patients can feel stigmatized.6 Aromatase inhibitors have not been studied in males.

 There is most certainly a gender disparity in breast cancer awareness and a need for screening recommendations for males. A better understanding of the biology of male breast cancer is also needed to develop markers for earlier diagnosis and therapeutic intervention—which may help reduce mortality and increase overall survival rates of males presenting with breast cancer.3

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