Ob.Gyn. News

You know what the happiest animal in the world is? A goldfish. You know why? It’s got a 10-second memory. Be a goldfish. — Ted Lasso

I don’t play much golf. When I do, it’s when my dad is in town. He shoots his age (78). I shoot double mine (52). He was recently here. We played and watched the Masters where he pointed out how I looked a lot like Scottie Scheffler, the now two-time Masters champion. On the 10th hole of his third round, you could see the resemblance. Scheffler’s third shot flew past the hole into the galley. He rifled the fourth past the hole on its way back toward the fairway. It was now a good distance further from the cup than a minute ago. He proceeded to misread his bogey putt, ending his misery with a double bogey. Scheffler went on to bogey the next hole and dropped from first on the leaderboard to fifth. Yes, I looked just like that on my last round. But here is where Scheffler and I differ. After a hole like that, I’d have been apoplectic, seething with self loathing. Scheffler was not. He kept moving. Head up, he sauntered to the next hole as if he had no awareness of what just transpired.

The ability to compartmentalize is useful not only to become the Masters champion, but also to become master of your day. In this way, golf is a nice approximation for life. The best golfers in the world will always have horrible shots and dreadful holes. The winning ones are often those who recover rather than continue in a downward spiral of one bad shot after another.

Dr. Benabio

Kaiser Permanente

Scheffler went on to eagle the 13th hole on that round. He eventually won the 2024 Masters Tournament. Remember that the next time you find yourself in a day that feels like it is spiraling toward disaster. Close the door on the compartment that was the last miserable hole and saunter to the next patient like it never happened.

And maybe close the clubface a bit on address for your next drive. 

Dr. Benabio is director of Healthcare Transformation and chief of dermatology at Kaiser Permanente San Diego. The opinions expressed in this column are his own and do not represent those of Kaiser Permanente. Dr. Benabio is @Dermdoc on X. Write to him at [email protected].

You know what the happiest animal in the world is? A goldfish. You know why? It’s got a 10-second memory. Be a goldfish. — Ted Lasso

I don’t play much golf. When I do, it’s when my dad is in town. He shoots his age (78). I shoot double mine (52). He was recently here. We played and watched the Masters where he pointed out how I looked a lot like Scottie Scheffler, the now two-time Masters champion. On the 10th hole of his third round, you could see the resemblance. Scheffler’s third shot flew past the hole into the galley. He rifled the fourth past the hole on its way back toward the fairway. It was now a good distance further from the cup than a minute ago. He proceeded to misread his bogey putt, ending his misery with a double bogey. Scheffler went on to bogey the next hole and dropped from first on the leaderboard to fifth. Yes, I looked just like that on my last round. But here is where Scheffler and I differ. After a hole like that, I’d have been apoplectic, seething with self loathing. Scheffler was not. He kept moving. Head up, he sauntered to the next hole as if he had no awareness of what just transpired.

The ability to compartmentalize is useful not only to become the Masters champion, but also to become master of your day. In this way, golf is a nice approximation for life. The best golfers in the world will always have horrible shots and dreadful holes. The winning ones are often those who recover rather than continue in a downward spiral of one bad shot after another.

Dr. Benabio

Kaiser Permanente

Scheffler went on to eagle the 13th hole on that round. He eventually won the 2024 Masters Tournament. Remember that the next time you find yourself in a day that feels like it is spiraling toward disaster. Close the door on the compartment that was the last miserable hole and saunter to the next patient like it never happened.

And maybe close the clubface a bit on address for your next drive. 

Dr. Benabio is director of Healthcare Transformation and chief of dermatology at Kaiser Permanente San Diego. The opinions expressed in this column are his own and do not represent those of Kaiser Permanente. Dr. Benabio is @Dermdoc on X. Write to him at [email protected].

You know what the happiest animal in the world is? A goldfish. You know why? It’s got a 10-second memory. Be a goldfish. — Ted Lasso

I don’t play much golf. When I do, it’s when my dad is in town. He shoots his age (78). I shoot double mine (52). He was recently here. We played and watched the Masters where he pointed out how I looked a lot like Scottie Scheffler, the now two-time Masters champion. On the 10th hole of his third round, you could see the resemblance. Scheffler’s third shot flew past the hole into the galley. He rifled the fourth past the hole on its way back toward the fairway. It was now a good distance further from the cup than a minute ago. He proceeded to misread his bogey putt, ending his misery with a double bogey. Scheffler went on to bogey the next hole and dropped from first on the leaderboard to fifth. Yes, I looked just like that on my last round. But here is where Scheffler and I differ. After a hole like that, I’d have been apoplectic, seething with self loathing. Scheffler was not. He kept moving. Head up, he sauntered to the next hole as if he had no awareness of what just transpired.

The ability to compartmentalize is useful not only to become the Masters champion, but also to become master of your day. In this way, golf is a nice approximation for life. The best golfers in the world will always have horrible shots and dreadful holes. The winning ones are often those who recover rather than continue in a downward spiral of one bad shot after another.

Dr. Benabio

Kaiser Permanente

Scheffler went on to eagle the 13th hole on that round. He eventually won the 2024 Masters Tournament. Remember that the next time you find yourself in a day that feels like it is spiraling toward disaster. Close the door on the compartment that was the last miserable hole and saunter to the next patient like it never happened.

And maybe close the clubface a bit on address for your next drive. 

Dr. Benabio is director of Healthcare Transformation and chief of dermatology at Kaiser Permanente San Diego. The opinions expressed in this column are his own and do not represent those of Kaiser Permanente. Dr. Benabio is @Dermdoc on X. Write to him at [email protected].

Picture a healthcare system where physicians aren’t bogged down by excessive charting but are instead fully present with their patients, offering undivided attention and personalized care. In a recent X post, Stuart Blitz, COO and co-founder of Hone Health, sparked a thought-provoking conversation. “The problem with US healthcare is physicians are burned out since they spend way too much time charting, not enough with patients,” he wrote. “If you created a health system that did zero charting, you’d attract the best physicians and all patients would go there. Who is working on this?” 

This resonates with many in the medical community, myself included, because the strain of extensive documentation detracts from patient care. Having worked in both large and small healthcare systems, I know the burden of extensive charting is a palpable challenge, often detracting from the time we can devote to our patients.

The first part of this two-part series examines the overarching benefits of artificial intelligence (AI)–based clinical documentation in modern healthcare, a field witnessing a paradigm shift thanks to advancements in AI.
 

Transformative Evolution of Clinical Documentation

The transition from manual documentation to AI-driven solutions marks a significant shift in the field, with a number of products in development including Nuance, Abridge, Ambience, ScribeAmerica, 3M, and DeepScribe. These tools use ambient clinical intelligence (ACI) to automate documentation, capturing patient conversations and translating them into structured clinical summaries. This innovation aligns with the vision of reducing charting burdens and enhancing patient-physician interactions.

How does it work? ACI refers to a sophisticated form of AI applied in healthcare settings, particularly focusing on enhancing the clinical documentation process without disrupting the natural flow of the consultation. Here’s a technical yet practical breakdown of ACI and the algorithms it typically employs:

Data capture and processing: ACI systems employ various sensors and processing units, typically integrated into clinical settings. These sensors, like microphones and cameras, gather diverse data such as audio from patient-doctor dialogues and visual cues. This information is then processed in real-time or near–real-time.

Natural language processing (NLP): A core component of ACI is advanced NLP algorithms. These algorithms analyze the captured audio data, transcribing spoken words into text. NLP goes beyond mere transcription; it involves understanding context, extracting relevant medical information (like symptoms, diagnoses, and treatment plans), and interpreting the nuances of human language.

Deep learning: Machine learning, particularly deep-learning techniques, are employed to improve the accuracy of ACI systems continually. These algorithms can learn from vast datasets of clinical interactions, enhancing their ability to transcribe and interpret future conversations accurately. As they learn, they become better at understanding different accents, complex medical terms, and variations in speech patterns.

Integration with electronic health records (EHRs): ACI systems are often designed to integrate seamlessly with existing EHR systems. They can automatically populate patient records with information from patient-clinician interactions, reducing manual entry and potential errors.

Customization and personalization: Many ACI systems offer customizable templates or allow clinicians to tailor documentation workflows. This flexibility ensures that the output aligns with the specific needs and preferences of healthcare providers.

Ethical and privacy considerations: ACI systems must navigate significant ethical and privacy concerns, especially related to patient consent and data security. These systems need to comply with healthcare privacy regulations such as HIPAA. They need to securely manage sensitive patient data and restrict access to authorized personnel only.
 

Broad-Spectrum Benefits of AI in Documentation

• Reducing clinician burnout: By automating the documentation process, AI tools like DAX Copilot alleviate a significant contributor to physician burnout, enabling clinicians to focus more on patient care.
• Enhanced patient care: With AI handling documentation, clinicians can engage more with their patients, leading to improved care quality and patient satisfaction.
• Data accuracy and quality: AI-driven documentation captures detailed patient encounters accurately, ensuring high-quality and comprehensive medical records.
• Response to the growing need for efficient healthcare: AI-based documentation is a direct response to the growing call for more efficient healthcare practices, where clinicians spend less time on paperwork and more with patients.

The shift toward AI-based clinical documentation represents a critical step in addressing the inefficiencies in healthcare systems. It’s a move towards a more patient-centered approach, where clinicians can focus more on patient care by reducing the time spent on excessive charting. Hopefully, we can integrate these solutions into our clinics at a large enough scale to make such an impact.

In the next column, we will explore in-depth insights from Kenneth Harper at Nuance on the technical implementation of these tools, with DAX as an example.

I would love to read your comments on AI in clinical trials as well as other AI-related topics. Write me at [email protected] or find me on X @DrBonillaOnc.

Dr. Loaiza-Bonilla is the co-founder and chief medical officer at Massive Bio, a company connecting patients to clinical trials using artificial intelligence. His research and professional interests focus on precision medicine, clinical trial design, digital health, entrepreneurship, and patient advocacy. Dr Loaiza-Bonilla serves as medical director of oncology research at Capital Health in New Jersey, where he maintains a connection to patient care by attending to patients 2 days a week. He has served as a consultant for Verify, PSI CRO, Bayer, AstraZeneca, Cardinal Health, BrightInsight, The Lynx Group, Fresenius, Pfizer, Ipsen, and Guardant; served as a speaker or a member of a speakers bureau for Amgen, Guardant, Eisai, Ipsen, Natera, Merck, Bristol-Myers Squibb, and AstraZeneca. He holds a 5% or greater equity interest in Massive Bio.

A version of this article appeared on Medscape.com.

Picture a healthcare system where physicians aren’t bogged down by excessive charting but are instead fully present with their patients, offering undivided attention and personalized care. In a recent X post, Stuart Blitz, COO and co-founder of Hone Health, sparked a thought-provoking conversation. “The problem with US healthcare is physicians are burned out since they spend way too much time charting, not enough with patients,” he wrote. “If you created a health system that did zero charting, you’d attract the best physicians and all patients would go there. Who is working on this?” 

This resonates with many in the medical community, myself included, because the strain of extensive documentation detracts from patient care. Having worked in both large and small healthcare systems, I know the burden of extensive charting is a palpable challenge, often detracting from the time we can devote to our patients.

The first part of this two-part series examines the overarching benefits of artificial intelligence (AI)–based clinical documentation in modern healthcare, a field witnessing a paradigm shift thanks to advancements in AI.
 

Transformative Evolution of Clinical Documentation

The transition from manual documentation to AI-driven solutions marks a significant shift in the field, with a number of products in development including Nuance, Abridge, Ambience, ScribeAmerica, 3M, and DeepScribe. These tools use ambient clinical intelligence (ACI) to automate documentation, capturing patient conversations and translating them into structured clinical summaries. This innovation aligns with the vision of reducing charting burdens and enhancing patient-physician interactions.

How does it work? ACI refers to a sophisticated form of AI applied in healthcare settings, particularly focusing on enhancing the clinical documentation process without disrupting the natural flow of the consultation. Here’s a technical yet practical breakdown of ACI and the algorithms it typically employs:

Data capture and processing: ACI systems employ various sensors and processing units, typically integrated into clinical settings. These sensors, like microphones and cameras, gather diverse data such as audio from patient-doctor dialogues and visual cues. This information is then processed in real-time or near–real-time.

Natural language processing (NLP): A core component of ACI is advanced NLP algorithms. These algorithms analyze the captured audio data, transcribing spoken words into text. NLP goes beyond mere transcription; it involves understanding context, extracting relevant medical information (like symptoms, diagnoses, and treatment plans), and interpreting the nuances of human language.

Deep learning: Machine learning, particularly deep-learning techniques, are employed to improve the accuracy of ACI systems continually. These algorithms can learn from vast datasets of clinical interactions, enhancing their ability to transcribe and interpret future conversations accurately. As they learn, they become better at understanding different accents, complex medical terms, and variations in speech patterns.

Integration with electronic health records (EHRs): ACI systems are often designed to integrate seamlessly with existing EHR systems. They can automatically populate patient records with information from patient-clinician interactions, reducing manual entry and potential errors.

Customization and personalization: Many ACI systems offer customizable templates or allow clinicians to tailor documentation workflows. This flexibility ensures that the output aligns with the specific needs and preferences of healthcare providers.

Ethical and privacy considerations: ACI systems must navigate significant ethical and privacy concerns, especially related to patient consent and data security. These systems need to comply with healthcare privacy regulations such as HIPAA. They need to securely manage sensitive patient data and restrict access to authorized personnel only.
 

Broad-Spectrum Benefits of AI in Documentation

• Reducing clinician burnout: By automating the documentation process, AI tools like DAX Copilot alleviate a significant contributor to physician burnout, enabling clinicians to focus more on patient care.
• Enhanced patient care: With AI handling documentation, clinicians can engage more with their patients, leading to improved care quality and patient satisfaction.
• Data accuracy and quality: AI-driven documentation captures detailed patient encounters accurately, ensuring high-quality and comprehensive medical records.
• Response to the growing need for efficient healthcare: AI-based documentation is a direct response to the growing call for more efficient healthcare practices, where clinicians spend less time on paperwork and more with patients.

The shift toward AI-based clinical documentation represents a critical step in addressing the inefficiencies in healthcare systems. It’s a move towards a more patient-centered approach, where clinicians can focus more on patient care by reducing the time spent on excessive charting. Hopefully, we can integrate these solutions into our clinics at a large enough scale to make such an impact.

In the next column, we will explore in-depth insights from Kenneth Harper at Nuance on the technical implementation of these tools, with DAX as an example.

I would love to read your comments on AI in clinical trials as well as other AI-related topics. Write me at [email protected] or find me on X @DrBonillaOnc.

Dr. Loaiza-Bonilla is the co-founder and chief medical officer at Massive Bio, a company connecting patients to clinical trials using artificial intelligence. His research and professional interests focus on precision medicine, clinical trial design, digital health, entrepreneurship, and patient advocacy. Dr Loaiza-Bonilla serves as medical director of oncology research at Capital Health in New Jersey, where he maintains a connection to patient care by attending to patients 2 days a week. He has served as a consultant for Verify, PSI CRO, Bayer, AstraZeneca, Cardinal Health, BrightInsight, The Lynx Group, Fresenius, Pfizer, Ipsen, and Guardant; served as a speaker or a member of a speakers bureau for Amgen, Guardant, Eisai, Ipsen, Natera, Merck, Bristol-Myers Squibb, and AstraZeneca. He holds a 5% or greater equity interest in Massive Bio.

A version of this article appeared on Medscape.com.

Picture a healthcare system where physicians aren’t bogged down by excessive charting but are instead fully present with their patients, offering undivided attention and personalized care. In a recent X post, Stuart Blitz, COO and co-founder of Hone Health, sparked a thought-provoking conversation. “The problem with US healthcare is physicians are burned out since they spend way too much time charting, not enough with patients,” he wrote. “If you created a health system that did zero charting, you’d attract the best physicians and all patients would go there. Who is working on this?” 

This resonates with many in the medical community, myself included, because the strain of extensive documentation detracts from patient care. Having worked in both large and small healthcare systems, I know the burden of extensive charting is a palpable challenge, often detracting from the time we can devote to our patients.

The first part of this two-part series examines the overarching benefits of artificial intelligence (AI)–based clinical documentation in modern healthcare, a field witnessing a paradigm shift thanks to advancements in AI.
 

Transformative Evolution of Clinical Documentation

The transition from manual documentation to AI-driven solutions marks a significant shift in the field, with a number of products in development including Nuance, Abridge, Ambience, ScribeAmerica, 3M, and DeepScribe. These tools use ambient clinical intelligence (ACI) to automate documentation, capturing patient conversations and translating them into structured clinical summaries. This innovation aligns with the vision of reducing charting burdens and enhancing patient-physician interactions.

How does it work? ACI refers to a sophisticated form of AI applied in healthcare settings, particularly focusing on enhancing the clinical documentation process without disrupting the natural flow of the consultation. Here’s a technical yet practical breakdown of ACI and the algorithms it typically employs:

Data capture and processing: ACI systems employ various sensors and processing units, typically integrated into clinical settings. These sensors, like microphones and cameras, gather diverse data such as audio from patient-doctor dialogues and visual cues. This information is then processed in real-time or near–real-time.

Natural language processing (NLP): A core component of ACI is advanced NLP algorithms. These algorithms analyze the captured audio data, transcribing spoken words into text. NLP goes beyond mere transcription; it involves understanding context, extracting relevant medical information (like symptoms, diagnoses, and treatment plans), and interpreting the nuances of human language.

Deep learning: Machine learning, particularly deep-learning techniques, are employed to improve the accuracy of ACI systems continually. These algorithms can learn from vast datasets of clinical interactions, enhancing their ability to transcribe and interpret future conversations accurately. As they learn, they become better at understanding different accents, complex medical terms, and variations in speech patterns.

Integration with electronic health records (EHRs): ACI systems are often designed to integrate seamlessly with existing EHR systems. They can automatically populate patient records with information from patient-clinician interactions, reducing manual entry and potential errors.

Customization and personalization: Many ACI systems offer customizable templates or allow clinicians to tailor documentation workflows. This flexibility ensures that the output aligns with the specific needs and preferences of healthcare providers.

Ethical and privacy considerations: ACI systems must navigate significant ethical and privacy concerns, especially related to patient consent and data security. These systems need to comply with healthcare privacy regulations such as HIPAA. They need to securely manage sensitive patient data and restrict access to authorized personnel only.
 

Broad-Spectrum Benefits of AI in Documentation

• Reducing clinician burnout: By automating the documentation process, AI tools like DAX Copilot alleviate a significant contributor to physician burnout, enabling clinicians to focus more on patient care.
• Enhanced patient care: With AI handling documentation, clinicians can engage more with their patients, leading to improved care quality and patient satisfaction.
• Data accuracy and quality: AI-driven documentation captures detailed patient encounters accurately, ensuring high-quality and comprehensive medical records.
• Response to the growing need for efficient healthcare: AI-based documentation is a direct response to the growing call for more efficient healthcare practices, where clinicians spend less time on paperwork and more with patients.

The shift toward AI-based clinical documentation represents a critical step in addressing the inefficiencies in healthcare systems. It’s a move towards a more patient-centered approach, where clinicians can focus more on patient care by reducing the time spent on excessive charting. Hopefully, we can integrate these solutions into our clinics at a large enough scale to make such an impact.

In the next column, we will explore in-depth insights from Kenneth Harper at Nuance on the technical implementation of these tools, with DAX as an example.

I would love to read your comments on AI in clinical trials as well as other AI-related topics. Write me at [email protected] or find me on X @DrBonillaOnc.

Dr. Loaiza-Bonilla is the co-founder and chief medical officer at Massive Bio, a company connecting patients to clinical trials using artificial intelligence. His research and professional interests focus on precision medicine, clinical trial design, digital health, entrepreneurship, and patient advocacy. Dr Loaiza-Bonilla serves as medical director of oncology research at Capital Health in New Jersey, where he maintains a connection to patient care by attending to patients 2 days a week. He has served as a consultant for Verify, PSI CRO, Bayer, AstraZeneca, Cardinal Health, BrightInsight, The Lynx Group, Fresenius, Pfizer, Ipsen, and Guardant; served as a speaker or a member of a speakers bureau for Amgen, Guardant, Eisai, Ipsen, Natera, Merck, Bristol-Myers Squibb, and AstraZeneca. He holds a 5% or greater equity interest in Massive Bio.

A version of this article appeared on Medscape.com.

Pregnant physicians may receive more workplace accommodations and protection against discrimination thanks to an updated rule from the US Equal Employment Opportunity Commission (EEOC). The guidelines could prevent women from losing critical career momentum. 

The Pregnant Workers Fairness Act (PWFA) aims to help workers balance professional demands with healthy pregnancies. It requires employers to provide reasonable accommodations for a “worker’s known limitations,” including physical or mental conditions associated with “pregnancy, childbirth, or related medical conditions.”

Reasonable accommodations vary but may involve time off to attend healthcare appointments or recover from childbirth, extra breaks during a shift, shorter work hours, or the ability to sit instead of stand. Private and public sector employers, including state and local governments, federal agencies, and employment agencies, must abide by the new guidelines unless they can provide evidence that doing so will cause undue hardship. 

Female doctors have historically encountered significant barriers to family planning. Years of training cause them to delay having children, often leading to higher rates of infertility, miscarriage, and pregnancy complications than in the general population. 

Some specialties, like surgeons, are particularly at risk, with 42% reporting at least one pregnancy loss. Most surgeons work their regular schedules until delivery despite desiring workload reductions, commonly citing unsupportive workplaces as a reason for not seeking accommodations. 

Trauma surgeon Qaali Hussein, MD, became pregnant with her first child during her intern year in 2008. She told this news organization that her residency program didn’t even have a maternity policy at the time, and her male supervisor was certain that motherhood would end her surgical career. 

She shared how “women usually waited until the end of their training to get pregnant. No one had ever gotten pregnant during the program and returned from maternity leave. I was the first to do so, so there wasn’t a policy or any program support to say, ‘What can we do to help?’ ”

Dr. Hussein used her vacation and sick time, returning to work 4 weeks after delivery. She had five more children, including twins her chief year and another baby during fellowship training in 2014. 

Each subsequent pregnancy was met with the same response from program leadership, she recalled. “They’d say, ‘This is it. You may have been able to do the first and second child, but this one will be impossible.’ ”

After the PWFA regulations first became enforceable in June, the EEOC accepted public feedback. The guidelines received nearly 100,000 comments, spurred mainly by the inclusion of abortion care as a qualifying condition for which an employee could receive accommodations. About 54,000 comments called for abortion to be excluded from the final rule, and 40,000 supported keeping the clause. 

The EEOC issued the final rule on April 15. It includes abortion care. However, the updated rule “does not require any employee to have — or not to have — an abortion, does not require taxpayers to pay for any abortions, and does not compel health care providers to provide any abortions,” the unpublished version of the final rule said. It is scheduled to take effect 60 days after its publication in the Federal Register on April 19.
 

Increasing Support for Doctor-Moms

The PWFA supplements other EEOC protections, such as pregnancy discrimination under Title VII of the Civil Rights Act of 1964 and access to reasonable accommodations under the Americans with Disabilities Act. In addition, it builds upon Department of Labor regulations, like the PUMP Act for breastfeeding employees and the Family and Medical Leave Act, which provides 12 weeks of unpaid, job-protected leave for the arrival of a child or certain medical conditions.

FMLA applies only to employees who have worked full-time for at least 12 months for an employer with 50 or more employees. Meanwhile, the unpaid, job-protected leave under the PWFA has no waiting period, lowers the required number of employees to 15, and permits accommodations for up to 40 weeks. 

Employers are encouraged to honor “common and simple” requests, like using a closer parking space or pumping or nursing at work, without requiring a doctor’s note, the rule said. 

Efforts to improve family leave policies for physicians and residents have been gaining traction. In 2021, the American Board of Medical Specialties began requiring its member boards with training programs lasting 2 or more years to allow at least 6 weeks off for parental, caregiver, and medical leave. This time can be taken without exhausting vacation or sick leave or requiring an extension in training. Over half of the 24 member boards permit leave beyond 6 weeks, including the American Boards of Allergy and Immunology, Emergency Medicine, Family Medicine, Radiology, and Surgery. 

Estefania Oliveros, MD, MSc, cardiologist and assistant professor at the Lewis Katz School of Medicine at Temple University, Philadelphia, told this news organization that the Accreditation Council for Graduate Medical Education also requires that residents and fellows receive 6 weeks of paid leave. 

“We add to that vacation time, so it gives them at least 8 weeks,” she said. The school has created spaces for nursing mothers — something neither she nor Dr. Hussein had access to when breastfeeding — and encourages the attendings to be proactive in excusing pregnant fellows for appointments. 

This differs significantly from her fellowship training experience 6 years ago at another institution, where she worked without accommodations until the day before her cesarean delivery. Dr. Oliveros had to use all her vacation time for recovery, returning to the program after 4 weeks instead of the recommended 6. 

“And that’s the story you hear all the time. Not because people are ill-intended; I just don’t think the system is designed to accommodate women, so we lose a lot of talent that way,” said Dr. Oliveros, whose 2019 survey in the Journal of the American College of Cardiology called for more support and protections for pregnant doctors. 

Both doctors believe the PWFA will be beneficial but only if leadership in the field takes up the cause. 

“The cultures of these institutions determine whether women feel safe or even confident enough to have children in medical school or residency,” said Dr. Hussein. 
 

A version of this article appeared on Medscape.com.

Pregnant physicians may receive more workplace accommodations and protection against discrimination thanks to an updated rule from the US Equal Employment Opportunity Commission (EEOC). The guidelines could prevent women from losing critical career momentum. 

The Pregnant Workers Fairness Act (PWFA) aims to help workers balance professional demands with healthy pregnancies. It requires employers to provide reasonable accommodations for a “worker’s known limitations,” including physical or mental conditions associated with “pregnancy, childbirth, or related medical conditions.”

Reasonable accommodations vary but may involve time off to attend healthcare appointments or recover from childbirth, extra breaks during a shift, shorter work hours, or the ability to sit instead of stand. Private and public sector employers, including state and local governments, federal agencies, and employment agencies, must abide by the new guidelines unless they can provide evidence that doing so will cause undue hardship. 

Female doctors have historically encountered significant barriers to family planning. Years of training cause them to delay having children, often leading to higher rates of infertility, miscarriage, and pregnancy complications than in the general population. 

Some specialties, like surgeons, are particularly at risk, with 42% reporting at least one pregnancy loss. Most surgeons work their regular schedules until delivery despite desiring workload reductions, commonly citing unsupportive workplaces as a reason for not seeking accommodations. 

Trauma surgeon Qaali Hussein, MD, became pregnant with her first child during her intern year in 2008. She told this news organization that her residency program didn’t even have a maternity policy at the time, and her male supervisor was certain that motherhood would end her surgical career. 

She shared how “women usually waited until the end of their training to get pregnant. No one had ever gotten pregnant during the program and returned from maternity leave. I was the first to do so, so there wasn’t a policy or any program support to say, ‘What can we do to help?’ ”

Dr. Hussein used her vacation and sick time, returning to work 4 weeks after delivery. She had five more children, including twins her chief year and another baby during fellowship training in 2014. 

Each subsequent pregnancy was met with the same response from program leadership, she recalled. “They’d say, ‘This is it. You may have been able to do the first and second child, but this one will be impossible.’ ”

After the PWFA regulations first became enforceable in June, the EEOC accepted public feedback. The guidelines received nearly 100,000 comments, spurred mainly by the inclusion of abortion care as a qualifying condition for which an employee could receive accommodations. About 54,000 comments called for abortion to be excluded from the final rule, and 40,000 supported keeping the clause. 

The EEOC issued the final rule on April 15. It includes abortion care. However, the updated rule “does not require any employee to have — or not to have — an abortion, does not require taxpayers to pay for any abortions, and does not compel health care providers to provide any abortions,” the unpublished version of the final rule said. It is scheduled to take effect 60 days after its publication in the Federal Register on April 19.
 

Increasing Support for Doctor-Moms

The PWFA supplements other EEOC protections, such as pregnancy discrimination under Title VII of the Civil Rights Act of 1964 and access to reasonable accommodations under the Americans with Disabilities Act. In addition, it builds upon Department of Labor regulations, like the PUMP Act for breastfeeding employees and the Family and Medical Leave Act, which provides 12 weeks of unpaid, job-protected leave for the arrival of a child or certain medical conditions.

FMLA applies only to employees who have worked full-time for at least 12 months for an employer with 50 or more employees. Meanwhile, the unpaid, job-protected leave under the PWFA has no waiting period, lowers the required number of employees to 15, and permits accommodations for up to 40 weeks. 

Employers are encouraged to honor “common and simple” requests, like using a closer parking space or pumping or nursing at work, without requiring a doctor’s note, the rule said. 

Efforts to improve family leave policies for physicians and residents have been gaining traction. In 2021, the American Board of Medical Specialties began requiring its member boards with training programs lasting 2 or more years to allow at least 6 weeks off for parental, caregiver, and medical leave. This time can be taken without exhausting vacation or sick leave or requiring an extension in training. Over half of the 24 member boards permit leave beyond 6 weeks, including the American Boards of Allergy and Immunology, Emergency Medicine, Family Medicine, Radiology, and Surgery. 

Estefania Oliveros, MD, MSc, cardiologist and assistant professor at the Lewis Katz School of Medicine at Temple University, Philadelphia, told this news organization that the Accreditation Council for Graduate Medical Education also requires that residents and fellows receive 6 weeks of paid leave. 

“We add to that vacation time, so it gives them at least 8 weeks,” she said. The school has created spaces for nursing mothers — something neither she nor Dr. Hussein had access to when breastfeeding — and encourages the attendings to be proactive in excusing pregnant fellows for appointments. 

This differs significantly from her fellowship training experience 6 years ago at another institution, where she worked without accommodations until the day before her cesarean delivery. Dr. Oliveros had to use all her vacation time for recovery, returning to the program after 4 weeks instead of the recommended 6. 

“And that’s the story you hear all the time. Not because people are ill-intended; I just don’t think the system is designed to accommodate women, so we lose a lot of talent that way,” said Dr. Oliveros, whose 2019 survey in the Journal of the American College of Cardiology called for more support and protections for pregnant doctors. 

Both doctors believe the PWFA will be beneficial but only if leadership in the field takes up the cause. 

“The cultures of these institutions determine whether women feel safe or even confident enough to have children in medical school or residency,” said Dr. Hussein. 
 

A version of this article appeared on Medscape.com.

Pregnant physicians may receive more workplace accommodations and protection against discrimination thanks to an updated rule from the US Equal Employment Opportunity Commission (EEOC). The guidelines could prevent women from losing critical career momentum. 

The Pregnant Workers Fairness Act (PWFA) aims to help workers balance professional demands with healthy pregnancies. It requires employers to provide reasonable accommodations for a “worker’s known limitations,” including physical or mental conditions associated with “pregnancy, childbirth, or related medical conditions.”

Reasonable accommodations vary but may involve time off to attend healthcare appointments or recover from childbirth, extra breaks during a shift, shorter work hours, or the ability to sit instead of stand. Private and public sector employers, including state and local governments, federal agencies, and employment agencies, must abide by the new guidelines unless they can provide evidence that doing so will cause undue hardship. 

Female doctors have historically encountered significant barriers to family planning. Years of training cause them to delay having children, often leading to higher rates of infertility, miscarriage, and pregnancy complications than in the general population. 

Some specialties, like surgeons, are particularly at risk, with 42% reporting at least one pregnancy loss. Most surgeons work their regular schedules until delivery despite desiring workload reductions, commonly citing unsupportive workplaces as a reason for not seeking accommodations. 

Trauma surgeon Qaali Hussein, MD, became pregnant with her first child during her intern year in 2008. She told this news organization that her residency program didn’t even have a maternity policy at the time, and her male supervisor was certain that motherhood would end her surgical career. 

She shared how “women usually waited until the end of their training to get pregnant. No one had ever gotten pregnant during the program and returned from maternity leave. I was the first to do so, so there wasn’t a policy or any program support to say, ‘What can we do to help?’ ”

Dr. Hussein used her vacation and sick time, returning to work 4 weeks after delivery. She had five more children, including twins her chief year and another baby during fellowship training in 2014. 

Each subsequent pregnancy was met with the same response from program leadership, she recalled. “They’d say, ‘This is it. You may have been able to do the first and second child, but this one will be impossible.’ ”

After the PWFA regulations first became enforceable in June, the EEOC accepted public feedback. The guidelines received nearly 100,000 comments, spurred mainly by the inclusion of abortion care as a qualifying condition for which an employee could receive accommodations. About 54,000 comments called for abortion to be excluded from the final rule, and 40,000 supported keeping the clause. 

The EEOC issued the final rule on April 15. It includes abortion care. However, the updated rule “does not require any employee to have — or not to have — an abortion, does not require taxpayers to pay for any abortions, and does not compel health care providers to provide any abortions,” the unpublished version of the final rule said. It is scheduled to take effect 60 days after its publication in the Federal Register on April 19.
 

Increasing Support for Doctor-Moms

The PWFA supplements other EEOC protections, such as pregnancy discrimination under Title VII of the Civil Rights Act of 1964 and access to reasonable accommodations under the Americans with Disabilities Act. In addition, it builds upon Department of Labor regulations, like the PUMP Act for breastfeeding employees and the Family and Medical Leave Act, which provides 12 weeks of unpaid, job-protected leave for the arrival of a child or certain medical conditions.

FMLA applies only to employees who have worked full-time for at least 12 months for an employer with 50 or more employees. Meanwhile, the unpaid, job-protected leave under the PWFA has no waiting period, lowers the required number of employees to 15, and permits accommodations for up to 40 weeks. 

Employers are encouraged to honor “common and simple” requests, like using a closer parking space or pumping or nursing at work, without requiring a doctor’s note, the rule said. 

Efforts to improve family leave policies for physicians and residents have been gaining traction. In 2021, the American Board of Medical Specialties began requiring its member boards with training programs lasting 2 or more years to allow at least 6 weeks off for parental, caregiver, and medical leave. This time can be taken without exhausting vacation or sick leave or requiring an extension in training. Over half of the 24 member boards permit leave beyond 6 weeks, including the American Boards of Allergy and Immunology, Emergency Medicine, Family Medicine, Radiology, and Surgery. 

Estefania Oliveros, MD, MSc, cardiologist and assistant professor at the Lewis Katz School of Medicine at Temple University, Philadelphia, told this news organization that the Accreditation Council for Graduate Medical Education also requires that residents and fellows receive 6 weeks of paid leave. 

“We add to that vacation time, so it gives them at least 8 weeks,” she said. The school has created spaces for nursing mothers — something neither she nor Dr. Hussein had access to when breastfeeding — and encourages the attendings to be proactive in excusing pregnant fellows for appointments. 

This differs significantly from her fellowship training experience 6 years ago at another institution, where she worked without accommodations until the day before her cesarean delivery. Dr. Oliveros had to use all her vacation time for recovery, returning to the program after 4 weeks instead of the recommended 6. 

“And that’s the story you hear all the time. Not because people are ill-intended; I just don’t think the system is designed to accommodate women, so we lose a lot of talent that way,” said Dr. Oliveros, whose 2019 survey in the Journal of the American College of Cardiology called for more support and protections for pregnant doctors. 

Both doctors believe the PWFA will be beneficial but only if leadership in the field takes up the cause. 

“The cultures of these institutions determine whether women feel safe or even confident enough to have children in medical school or residency,” said Dr. Hussein. 
 

A version of this article appeared on Medscape.com.

TOPLINE: 

A study comparing the clinical reasoning of an artificial intelligence (AI) model with that of physicians found the AI outperformed residents and attending physicians in simulated cases. The AI had more instances of incorrect reasoning than the doctors did but scored better overall.

METHODOLOGY:

• The study involved 39 physicians from two academic medical centers in Boston and the generative AI model GPT-4.
• Participants were presented with 20 simulated clinical cases involving common problems such as pharyngitis, headache, abdominal pain, cough, and chest pain. Each case included sections describing the triage presentation, review of systems, physical examination, and diagnostic testing.
• The primary outcome was the Revised-IDEA (R-IDEA) score, a 10-point scale evaluating clinical reasoning documentation across four domains: Interpretive summary, differential diagnosis, explanation of the lead diagnosis, and alternative diagnoses.

TAKEAWAY: 

• AI achieved a median R-IDEA score of 10, higher than attending physicians (median score, 9) and residents (8).
• The chatbot had a significantly higher estimated probability of achieving a high R-IDEA score of 8-10 (0.99) compared with attendings (0.76) and residents (0.56).
• AI provided more responses that contained instances of incorrect clinical reasoning (13.8%) than residents (2.8%) and attending physicians (12.5%). It performed similarly to physicians in diagnostic accuracy and inclusion of cannot-miss diagnoses.

IN PRACTICE:

“Future research should assess clinical reasoning of the LLM-physician interaction, as LLMs will more likely augment, not replace, the human reasoning process,” the authors of the study wrote. 

SOURCE:

Adam Rodman, MD, MPH, with Beth Israel Deaconess Medical Center, Boston, was the corresponding author on the paper. The research was published online in JAMA Internal Medicine. 

LIMITATIONS: 

Simulated clinical cases may not replicate performance in real-world scenarios. Further training could enhance the performance of the AI, so the study may underestimate its capabilities, the researchers noted. 

DISCLOSURES:

The study was supported by the Harvard Clinical and Translational Science Center and Harvard University. Authors disclosed financial ties to publishing companies and Solera Health. Dr. Rodman received funding from the Gordon and Betty Moore Foundation.

This article was created using several editorial tools, including AI, as part of the process. Human editors reviewed this content before publication. A version of this article appeared on Medscape.com.

TOPLINE: 

A study comparing the clinical reasoning of an artificial intelligence (AI) model with that of physicians found the AI outperformed residents and attending physicians in simulated cases. The AI had more instances of incorrect reasoning than the doctors did but scored better overall.

METHODOLOGY:

• The study involved 39 physicians from two academic medical centers in Boston and the generative AI model GPT-4.
• Participants were presented with 20 simulated clinical cases involving common problems such as pharyngitis, headache, abdominal pain, cough, and chest pain. Each case included sections describing the triage presentation, review of systems, physical examination, and diagnostic testing.
• The primary outcome was the Revised-IDEA (R-IDEA) score, a 10-point scale evaluating clinical reasoning documentation across four domains: Interpretive summary, differential diagnosis, explanation of the lead diagnosis, and alternative diagnoses.

TAKEAWAY: 

• AI achieved a median R-IDEA score of 10, higher than attending physicians (median score, 9) and residents (8).
• The chatbot had a significantly higher estimated probability of achieving a high R-IDEA score of 8-10 (0.99) compared with attendings (0.76) and residents (0.56).
• AI provided more responses that contained instances of incorrect clinical reasoning (13.8%) than residents (2.8%) and attending physicians (12.5%). It performed similarly to physicians in diagnostic accuracy and inclusion of cannot-miss diagnoses.

IN PRACTICE:

“Future research should assess clinical reasoning of the LLM-physician interaction, as LLMs will more likely augment, not replace, the human reasoning process,” the authors of the study wrote. 

SOURCE:

Adam Rodman, MD, MPH, with Beth Israel Deaconess Medical Center, Boston, was the corresponding author on the paper. The research was published online in JAMA Internal Medicine. 

LIMITATIONS: 

Simulated clinical cases may not replicate performance in real-world scenarios. Further training could enhance the performance of the AI, so the study may underestimate its capabilities, the researchers noted. 

DISCLOSURES:

The study was supported by the Harvard Clinical and Translational Science Center and Harvard University. Authors disclosed financial ties to publishing companies and Solera Health. Dr. Rodman received funding from the Gordon and Betty Moore Foundation.

This article was created using several editorial tools, including AI, as part of the process. Human editors reviewed this content before publication. A version of this article appeared on Medscape.com.

TOPLINE: 

A study comparing the clinical reasoning of an artificial intelligence (AI) model with that of physicians found the AI outperformed residents and attending physicians in simulated cases. The AI had more instances of incorrect reasoning than the doctors did but scored better overall.

METHODOLOGY:

• The study involved 39 physicians from two academic medical centers in Boston and the generative AI model GPT-4.
• Participants were presented with 20 simulated clinical cases involving common problems such as pharyngitis, headache, abdominal pain, cough, and chest pain. Each case included sections describing the triage presentation, review of systems, physical examination, and diagnostic testing.
• The primary outcome was the Revised-IDEA (R-IDEA) score, a 10-point scale evaluating clinical reasoning documentation across four domains: Interpretive summary, differential diagnosis, explanation of the lead diagnosis, and alternative diagnoses.

TAKEAWAY: 

• AI achieved a median R-IDEA score of 10, higher than attending physicians (median score, 9) and residents (8).
• The chatbot had a significantly higher estimated probability of achieving a high R-IDEA score of 8-10 (0.99) compared with attendings (0.76) and residents (0.56).
• AI provided more responses that contained instances of incorrect clinical reasoning (13.8%) than residents (2.8%) and attending physicians (12.5%). It performed similarly to physicians in diagnostic accuracy and inclusion of cannot-miss diagnoses.

IN PRACTICE:

“Future research should assess clinical reasoning of the LLM-physician interaction, as LLMs will more likely augment, not replace, the human reasoning process,” the authors of the study wrote. 

SOURCE:

Adam Rodman, MD, MPH, with Beth Israel Deaconess Medical Center, Boston, was the corresponding author on the paper. The research was published online in JAMA Internal Medicine. 

LIMITATIONS: 

Simulated clinical cases may not replicate performance in real-world scenarios. Further training could enhance the performance of the AI, so the study may underestimate its capabilities, the researchers noted. 

DISCLOSURES:

The study was supported by the Harvard Clinical and Translational Science Center and Harvard University. Authors disclosed financial ties to publishing companies and Solera Health. Dr. Rodman received funding from the Gordon and Betty Moore Foundation.

This article was created using several editorial tools, including AI, as part of the process. Human editors reviewed this content before publication. A version of this article appeared on Medscape.com.

In last month’s column, I discussed employees who are “clock watchers” and how to address this issue in your practice if it exists. Here’s another scenario you may encounter from the Office Politics Forum at the recent American Academy of Dermatology annual meeting:

A 40-year-old dermatologist has practiced in the same office since residency and is loved by patients and staff. He remained with the practice through its takeover by a local hospital three years previously. Recently, over a 3-month period, everyone in the office notices a change in this dermatologist’s behavior. He no longer appears happy, is argumentative with staff and patients alike, often dismisses patients’ concerns, and calls in sick during the practice’s busiest days.

It is not difficult to recognize these changes as hallmarks of burnout, which continues to be pervasive across all practice settings and specialties. According to the American Medical Association’s National Burnout Benchmarking report, over 50% of physicians report some characteristics of burnout, which include emotional exhaustion, depersonalization, and a feeling of decreased personal achievement.

olm26250/Thinkstock

Addressing physician burnout requires a systems-based approach that targets these root causes at all levels, from individual coping strategies to organizational and systemic changes in the healthcare industry. Here are some strategies that have worked for me and others:

Optimize Practice Efficiency: This is the consistent theme of this column over several decades: Streamline office processes to enhance the quality of care while reducing unnecessary workload. This can involve adopting efficient patient scheduling systems, improving clinic flow, and utilizing technology like patient portals judiciously to avoid increasing the task load without compensation.

Promote Work-Life Balance: Encourage a culture that values work-life balance. This can include flexible scheduling, respecting off-duty hours by limiting non-emergency work communications, and using your vacation time. Remember Eastern’s First Law: Your last words will NOT be, “I wish I had spent more time in the office.”

Implement Medical Scribes: I’ve written frequently about this, including a recent column on the new artificial intelligence (AI) scribes, such as DeepCura, DeepScribe, Nuance, Suki, Augmedix, Tali AI, Iodine Software, ScribeLink, and Amazon Web Services’ new HealthScribe product. Utilizing medical scribes to handle documentation can significantly reduce the administrative burden, allowing physicians to focus more on patient care rather than paperwork, potentially improving both physician and patient satisfaction. (As always, I have no financial interest in any product or service mentioned in this column.)

Provide Professional Development Opportunities: Offer opportunities for professional growth and development. This can include attending conferences, participating in research, or providing time and resources for continuing education. Such opportunities can reinvigorate a physician’s passion for medicine and improve job satisfaction.

Foster a Supportive Work Environment: Create a supportive work culture where staff and physicians feel comfortable discussing challenges and seeking support. Regular meetings or check-ins can help identify early signs of burnout and address them proactively.

Evaluate and Adjust Workloads: Regularly assess physician workloads to ensure they are manageable. Adjusting patient loads, redistributing tasks among team members, or hiring additional staff can help prevent burnout.

Leadership Training and Support: Provide training for leaders within the practice on recognizing signs of burnout and effective management strategies. Supportive leadership is crucial in creating an environment where physicians feel valued and heard.

Peer Support and Mentorship Programs: Establish peer support or mentorship programs where physicians can share experiences, offer advice, and provide emotional support to each other.

Feedback and Continuous Improvement: Managers should regularly solicit feedback from physicians regarding their workload, job satisfaction, and suggestions for improvements. Actively work on implementing feasible changes to address concerns.

Dr. Eastern practices dermatology and dermatologic surgery in Belleville, N.J. He is the author of numerous articles and textbook chapters, and is a longtime monthly columnist for Dermatology News. Write to him at [email protected].

In last month’s column, I discussed employees who are “clock watchers” and how to address this issue in your practice if it exists. Here’s another scenario you may encounter from the Office Politics Forum at the recent American Academy of Dermatology annual meeting:

A 40-year-old dermatologist has practiced in the same office since residency and is loved by patients and staff. He remained with the practice through its takeover by a local hospital three years previously. Recently, over a 3-month period, everyone in the office notices a change in this dermatologist’s behavior. He no longer appears happy, is argumentative with staff and patients alike, often dismisses patients’ concerns, and calls in sick during the practice’s busiest days.

It is not difficult to recognize these changes as hallmarks of burnout, which continues to be pervasive across all practice settings and specialties. According to the American Medical Association’s National Burnout Benchmarking report, over 50% of physicians report some characteristics of burnout, which include emotional exhaustion, depersonalization, and a feeling of decreased personal achievement.

olm26250/Thinkstock

Addressing physician burnout requires a systems-based approach that targets these root causes at all levels, from individual coping strategies to organizational and systemic changes in the healthcare industry. Here are some strategies that have worked for me and others:

Optimize Practice Efficiency: This is the consistent theme of this column over several decades: Streamline office processes to enhance the quality of care while reducing unnecessary workload. This can involve adopting efficient patient scheduling systems, improving clinic flow, and utilizing technology like patient portals judiciously to avoid increasing the task load without compensation.

Promote Work-Life Balance: Encourage a culture that values work-life balance. This can include flexible scheduling, respecting off-duty hours by limiting non-emergency work communications, and using your vacation time. Remember Eastern’s First Law: Your last words will NOT be, “I wish I had spent more time in the office.”

Implement Medical Scribes: I’ve written frequently about this, including a recent column on the new artificial intelligence (AI) scribes, such as DeepCura, DeepScribe, Nuance, Suki, Augmedix, Tali AI, Iodine Software, ScribeLink, and Amazon Web Services’ new HealthScribe product. Utilizing medical scribes to handle documentation can significantly reduce the administrative burden, allowing physicians to focus more on patient care rather than paperwork, potentially improving both physician and patient satisfaction. (As always, I have no financial interest in any product or service mentioned in this column.)

Provide Professional Development Opportunities: Offer opportunities for professional growth and development. This can include attending conferences, participating in research, or providing time and resources for continuing education. Such opportunities can reinvigorate a physician’s passion for medicine and improve job satisfaction.

Foster a Supportive Work Environment: Create a supportive work culture where staff and physicians feel comfortable discussing challenges and seeking support. Regular meetings or check-ins can help identify early signs of burnout and address them proactively.

Evaluate and Adjust Workloads: Regularly assess physician workloads to ensure they are manageable. Adjusting patient loads, redistributing tasks among team members, or hiring additional staff can help prevent burnout.

Leadership Training and Support: Provide training for leaders within the practice on recognizing signs of burnout and effective management strategies. Supportive leadership is crucial in creating an environment where physicians feel valued and heard.

Peer Support and Mentorship Programs: Establish peer support or mentorship programs where physicians can share experiences, offer advice, and provide emotional support to each other.

Feedback and Continuous Improvement: Managers should regularly solicit feedback from physicians regarding their workload, job satisfaction, and suggestions for improvements. Actively work on implementing feasible changes to address concerns.

Dr. Eastern practices dermatology and dermatologic surgery in Belleville, N.J. He is the author of numerous articles and textbook chapters, and is a longtime monthly columnist for Dermatology News. Write to him at [email protected].

In last month’s column, I discussed employees who are “clock watchers” and how to address this issue in your practice if it exists. Here’s another scenario you may encounter from the Office Politics Forum at the recent American Academy of Dermatology annual meeting:

A 40-year-old dermatologist has practiced in the same office since residency and is loved by patients and staff. He remained with the practice through its takeover by a local hospital three years previously. Recently, over a 3-month period, everyone in the office notices a change in this dermatologist’s behavior. He no longer appears happy, is argumentative with staff and patients alike, often dismisses patients’ concerns, and calls in sick during the practice’s busiest days.

It is not difficult to recognize these changes as hallmarks of burnout, which continues to be pervasive across all practice settings and specialties. According to the American Medical Association’s National Burnout Benchmarking report, over 50% of physicians report some characteristics of burnout, which include emotional exhaustion, depersonalization, and a feeling of decreased personal achievement.

olm26250/Thinkstock

Addressing physician burnout requires a systems-based approach that targets these root causes at all levels, from individual coping strategies to organizational and systemic changes in the healthcare industry. Here are some strategies that have worked for me and others:

Optimize Practice Efficiency: This is the consistent theme of this column over several decades: Streamline office processes to enhance the quality of care while reducing unnecessary workload. This can involve adopting efficient patient scheduling systems, improving clinic flow, and utilizing technology like patient portals judiciously to avoid increasing the task load without compensation.

Promote Work-Life Balance: Encourage a culture that values work-life balance. This can include flexible scheduling, respecting off-duty hours by limiting non-emergency work communications, and using your vacation time. Remember Eastern’s First Law: Your last words will NOT be, “I wish I had spent more time in the office.”

Implement Medical Scribes: I’ve written frequently about this, including a recent column on the new artificial intelligence (AI) scribes, such as DeepCura, DeepScribe, Nuance, Suki, Augmedix, Tali AI, Iodine Software, ScribeLink, and Amazon Web Services’ new HealthScribe product. Utilizing medical scribes to handle documentation can significantly reduce the administrative burden, allowing physicians to focus more on patient care rather than paperwork, potentially improving both physician and patient satisfaction. (As always, I have no financial interest in any product or service mentioned in this column.)

Provide Professional Development Opportunities: Offer opportunities for professional growth and development. This can include attending conferences, participating in research, or providing time and resources for continuing education. Such opportunities can reinvigorate a physician’s passion for medicine and improve job satisfaction.

Foster a Supportive Work Environment: Create a supportive work culture where staff and physicians feel comfortable discussing challenges and seeking support. Regular meetings or check-ins can help identify early signs of burnout and address them proactively.

Evaluate and Adjust Workloads: Regularly assess physician workloads to ensure they are manageable. Adjusting patient loads, redistributing tasks among team members, or hiring additional staff can help prevent burnout.

Leadership Training and Support: Provide training for leaders within the practice on recognizing signs of burnout and effective management strategies. Supportive leadership is crucial in creating an environment where physicians feel valued and heard.

Peer Support and Mentorship Programs: Establish peer support or mentorship programs where physicians can share experiences, offer advice, and provide emotional support to each other.

Feedback and Continuous Improvement: Managers should regularly solicit feedback from physicians regarding their workload, job satisfaction, and suggestions for improvements. Actively work on implementing feasible changes to address concerns.

Dr. Eastern practices dermatology and dermatologic surgery in Belleville, N.J. He is the author of numerous articles and textbook chapters, and is a longtime monthly columnist for Dermatology News. Write to him at [email protected].

How long should a woman wait before becoming pregnant again? According to the World Health Organization (WHO), it is advisable to wait at least 24 months between childbirth and a new pregnancy. But a study published in February of this year in The Lancet Regional Health — Americas, using data from more than 4.7 million live births in Brazil, suggests that this recommendation should be individualized, considering factors such as maternal obstetric history.

Researchers from the Federal University of Grande Dourados (UFGD), Oswaldo Cruz Foundation, São José do Rio Preto Medical School, Federal University of Bahia, and the London School of Hygiene and Tropical Medicine in the United Kingdom, used a birth cohort from the Center for Data Integration and Knowledge for Health, which combines data from the Ministry of Health’s Information System on Live Births (SINASC) and from a cohort of 100 million Brazilians. 

In total, the analysis included information on 3,804,152 women and 4,788,279 births. All participants had at least two consecutive live births.

Most interpregnancy intervals, ie, the difference between the previous childbirth and the subsequent conception, ranged from 23 to 58 months (39.1%). Extreme intervals of < 6 months and > 120 months occurred in 5.6% and 1.6% of cases, respectively.

Regarding adverse outcomes, the research indicated that, in the general population, small-for-gestational-age (SGA) babies were observed in 8.4% of subsequent births, while low birth weight (LBW) occurred in 5.9% and preterm birth in 7.5%.
 

Interpregnancy Interval and SGA Risk

The authors noted that the risk for subsequent adverse outcomes increased with extreme interpregnancy intervals, with SGA being the only exception. In this case, women who had an interval between the previous childbirth and the subsequent conception > 120 months had a lower risk for SGA.

According to João Guilherme Tedde, a medical student at UFGD and the first author of the study, similar patterns (extremely long interpregnancy intervals associated with a lower risk for subsequent SGA) have been described in the literature. In an interview with this news organization, he explained some hypotheses that could explain this phenomenon.

According to the researcher, the finding may reflect the distinct risk profile of mothers who wait a very long time to conceive again. “This group, composed of older women, likely has a higher prevalence of health problems, such as diabetes and obesity, which are known risk factors for having large-for-gestational-age (LGA) babies,” he said. He also highlighted the fact that the study showed that the risk for LGA also increased as the interval between pregnancies grew.

Another hypothesis suggested by the author is the possible occurrence of events between pregnancies, such as miscarriages or stillbirths. According to him, women who have experienced these events between two consecutive pregnancies may have falsely increased interpregnancy intervals, since miscarriages and stillbirths (which are considered conceptions) are not counted in SINASC.

“Thus, the lower occurrence of SGA in the group with very long intervals may reflect a competition of events between stillbirths or miscarriages and live SGAs,” he said.
 

Previous and Subsequent Adverse Events

The research also showed that the risks for subsequent SGA, LBW, and preterm birth were higher among women with a history of adverse events in previous pregnancies.

Furthermore, the authors noted that the previous occurrence of adverse outcomes seems to “have a more significant impact on the outcome of the current pregnancy than the interpregnancy interval.” 

“We found that, for women with the same interpregnancy interval (say < 6 months), but with different obstetric history (zero previous events vs one event), the absolute risk for subsequent adverse outcomes increased much more than when we change only the duration of the interval in a group with the same number of previous adverse events,” said Dr. Tedde.

There is still no convincing explanation for this fact, he said, since the cause-and-effect relationship between interpregnancy intervals and perinatal events is not clear. But the obstetrics literature generally shows that among the main risk factors for an adverse event is the previous occurrence of the same event. This effect could be related to living conditions and maternal habits, genetics, epigenetics, among others.

The researcher observed that this study is one of the largest in terms of sampling to investigate how maternal obstetric history can modulate the effect of interpregnancy interval on the risk for adverse outcomes in subsequent pregnancies.

The findings of the research published this year reinforce the importance of individualizing recommendations regarding interpregnancy intervals, considering factors such as maternal obstetric history. However, the author warns that it is still too early to point out the “best” interval for each situation.

“We need more studies that reproduce our findings and that expand the analyzed outcomes to also include those of interest to the mother, such as maternal mortality,” he concluded.

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

How long should a woman wait before becoming pregnant again? According to the World Health Organization (WHO), it is advisable to wait at least 24 months between childbirth and a new pregnancy. But a study published in February of this year in The Lancet Regional Health — Americas, using data from more than 4.7 million live births in Brazil, suggests that this recommendation should be individualized, considering factors such as maternal obstetric history.

Researchers from the Federal University of Grande Dourados (UFGD), Oswaldo Cruz Foundation, São José do Rio Preto Medical School, Federal University of Bahia, and the London School of Hygiene and Tropical Medicine in the United Kingdom, used a birth cohort from the Center for Data Integration and Knowledge for Health, which combines data from the Ministry of Health’s Information System on Live Births (SINASC) and from a cohort of 100 million Brazilians. 

In total, the analysis included information on 3,804,152 women and 4,788,279 births. All participants had at least two consecutive live births.

Most interpregnancy intervals, ie, the difference between the previous childbirth and the subsequent conception, ranged from 23 to 58 months (39.1%). Extreme intervals of < 6 months and > 120 months occurred in 5.6% and 1.6% of cases, respectively.

Regarding adverse outcomes, the research indicated that, in the general population, small-for-gestational-age (SGA) babies were observed in 8.4% of subsequent births, while low birth weight (LBW) occurred in 5.9% and preterm birth in 7.5%.
 

Interpregnancy Interval and SGA Risk

The authors noted that the risk for subsequent adverse outcomes increased with extreme interpregnancy intervals, with SGA being the only exception. In this case, women who had an interval between the previous childbirth and the subsequent conception > 120 months had a lower risk for SGA.

According to João Guilherme Tedde, a medical student at UFGD and the first author of the study, similar patterns (extremely long interpregnancy intervals associated with a lower risk for subsequent SGA) have been described in the literature. In an interview with this news organization, he explained some hypotheses that could explain this phenomenon.

According to the researcher, the finding may reflect the distinct risk profile of mothers who wait a very long time to conceive again. “This group, composed of older women, likely has a higher prevalence of health problems, such as diabetes and obesity, which are known risk factors for having large-for-gestational-age (LGA) babies,” he said. He also highlighted the fact that the study showed that the risk for LGA also increased as the interval between pregnancies grew.

Another hypothesis suggested by the author is the possible occurrence of events between pregnancies, such as miscarriages or stillbirths. According to him, women who have experienced these events between two consecutive pregnancies may have falsely increased interpregnancy intervals, since miscarriages and stillbirths (which are considered conceptions) are not counted in SINASC.

“Thus, the lower occurrence of SGA in the group with very long intervals may reflect a competition of events between stillbirths or miscarriages and live SGAs,” he said.
 

Previous and Subsequent Adverse Events

The research also showed that the risks for subsequent SGA, LBW, and preterm birth were higher among women with a history of adverse events in previous pregnancies.

Furthermore, the authors noted that the previous occurrence of adverse outcomes seems to “have a more significant impact on the outcome of the current pregnancy than the interpregnancy interval.” 

“We found that, for women with the same interpregnancy interval (say < 6 months), but with different obstetric history (zero previous events vs one event), the absolute risk for subsequent adverse outcomes increased much more than when we change only the duration of the interval in a group with the same number of previous adverse events,” said Dr. Tedde.

There is still no convincing explanation for this fact, he said, since the cause-and-effect relationship between interpregnancy intervals and perinatal events is not clear. But the obstetrics literature generally shows that among the main risk factors for an adverse event is the previous occurrence of the same event. This effect could be related to living conditions and maternal habits, genetics, epigenetics, among others.

The researcher observed that this study is one of the largest in terms of sampling to investigate how maternal obstetric history can modulate the effect of interpregnancy interval on the risk for adverse outcomes in subsequent pregnancies.

The findings of the research published this year reinforce the importance of individualizing recommendations regarding interpregnancy intervals, considering factors such as maternal obstetric history. However, the author warns that it is still too early to point out the “best” interval for each situation.

“We need more studies that reproduce our findings and that expand the analyzed outcomes to also include those of interest to the mother, such as maternal mortality,” he concluded.

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

How long should a woman wait before becoming pregnant again? According to the World Health Organization (WHO), it is advisable to wait at least 24 months between childbirth and a new pregnancy. But a study published in February of this year in The Lancet Regional Health — Americas, using data from more than 4.7 million live births in Brazil, suggests that this recommendation should be individualized, considering factors such as maternal obstetric history.

Researchers from the Federal University of Grande Dourados (UFGD), Oswaldo Cruz Foundation, São José do Rio Preto Medical School, Federal University of Bahia, and the London School of Hygiene and Tropical Medicine in the United Kingdom, used a birth cohort from the Center for Data Integration and Knowledge for Health, which combines data from the Ministry of Health’s Information System on Live Births (SINASC) and from a cohort of 100 million Brazilians. 

In total, the analysis included information on 3,804,152 women and 4,788,279 births. All participants had at least two consecutive live births.

Most interpregnancy intervals, ie, the difference between the previous childbirth and the subsequent conception, ranged from 23 to 58 months (39.1%). Extreme intervals of < 6 months and > 120 months occurred in 5.6% and 1.6% of cases, respectively.

Regarding adverse outcomes, the research indicated that, in the general population, small-for-gestational-age (SGA) babies were observed in 8.4% of subsequent births, while low birth weight (LBW) occurred in 5.9% and preterm birth in 7.5%.
 

Interpregnancy Interval and SGA Risk

The authors noted that the risk for subsequent adverse outcomes increased with extreme interpregnancy intervals, with SGA being the only exception. In this case, women who had an interval between the previous childbirth and the subsequent conception > 120 months had a lower risk for SGA.

According to João Guilherme Tedde, a medical student at UFGD and the first author of the study, similar patterns (extremely long interpregnancy intervals associated with a lower risk for subsequent SGA) have been described in the literature. In an interview with this news organization, he explained some hypotheses that could explain this phenomenon.

According to the researcher, the finding may reflect the distinct risk profile of mothers who wait a very long time to conceive again. “This group, composed of older women, likely has a higher prevalence of health problems, such as diabetes and obesity, which are known risk factors for having large-for-gestational-age (LGA) babies,” he said. He also highlighted the fact that the study showed that the risk for LGA also increased as the interval between pregnancies grew.

Another hypothesis suggested by the author is the possible occurrence of events between pregnancies, such as miscarriages or stillbirths. According to him, women who have experienced these events between two consecutive pregnancies may have falsely increased interpregnancy intervals, since miscarriages and stillbirths (which are considered conceptions) are not counted in SINASC.

“Thus, the lower occurrence of SGA in the group with very long intervals may reflect a competition of events between stillbirths or miscarriages and live SGAs,” he said.
 

Previous and Subsequent Adverse Events

The research also showed that the risks for subsequent SGA, LBW, and preterm birth were higher among women with a history of adverse events in previous pregnancies.

Furthermore, the authors noted that the previous occurrence of adverse outcomes seems to “have a more significant impact on the outcome of the current pregnancy than the interpregnancy interval.” 

“We found that, for women with the same interpregnancy interval (say < 6 months), but with different obstetric history (zero previous events vs one event), the absolute risk for subsequent adverse outcomes increased much more than when we change only the duration of the interval in a group with the same number of previous adverse events,” said Dr. Tedde.

There is still no convincing explanation for this fact, he said, since the cause-and-effect relationship between interpregnancy intervals and perinatal events is not clear. But the obstetrics literature generally shows that among the main risk factors for an adverse event is the previous occurrence of the same event. This effect could be related to living conditions and maternal habits, genetics, epigenetics, among others.

The researcher observed that this study is one of the largest in terms of sampling to investigate how maternal obstetric history can modulate the effect of interpregnancy interval on the risk for adverse outcomes in subsequent pregnancies.

The findings of the research published this year reinforce the importance of individualizing recommendations regarding interpregnancy intervals, considering factors such as maternal obstetric history. However, the author warns that it is still too early to point out the “best” interval for each situation.

“We need more studies that reproduce our findings and that expand the analyzed outcomes to also include those of interest to the mother, such as maternal mortality,” he concluded.

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

BY DEEPA VARMA

TOPLINE:

In patients with polycystic ovary syndrome (PCOS), laser and light therapies, alone or in combination with pharmacological agents, improve hirsutism and psychological well-being in women, according to the results of a systematic review.

METHODOLOGY:

• Hirsutism, which affects 70%-80% of women with PCOS, is frequently marginalized as a cosmetic issue by healthcare providers, despite its significant psychological repercussions, including diminished self-esteem, reduced quality of life, and heightened depression.
• The 2023 international evidence-based PCOS guideline considers managing hirsutism a priority in women with PCOS.
• Researchers reviewed six studies (four randomized controlled trials and two cohort studies), which included 423 patients with PCOS who underwent laser or light-based hair reduction therapies, published through 2022.
• The studies evaluated the alexandrite laser, diode laser, and intense pulsed light (IPL) therapy, with and without pharmacological treatments. The main outcomes were hirsutism severity, psychological outcome, and adverse events.

TAKEAWAY:

• Alexandrite laser (wavelength, 755 nm) showed effective hair reduction and improved patient satisfaction (one study); high-fluence treatment yielded better outcomes than low-fluence treatment (one study). Alexandrite laser 755 nm also showed longer hair-free intervals and greater hair reduction than IPL therapy at 650-1000 nm (one study).
• Combined IPL (600 nm) and metformin therapy improved hirsutism and hair count reduction compared with IPL alone, but with more side effects (one study).
• Diode laser treatments (810 nm) with combined oral contraceptives improved hirsutism and related quality of life measures compared with diode laser alone or with metformin (one study).
• Comparing two diode lasers (wavelengths, 810 nm), low-fluence, high repetition laser showed superior hair width reduction and lower pain scores than high fluence, low-repetition laser (one study).

IN PRACTICE:

Laser and light treatments alone or combined with other treatments have demonstrated “encouraging results in reducing hirsutism severity, enhancing psychological well-being, and improving overall quality of life for affected individuals,” the authors wrote, noting that additional high-quality trials evaluating these treatments, which include more patients with different skin tones, are needed.

SOURCE:

The first author of the review is Katrina Tan, MD, Monash Health, Department of Dermatology, Melbourne, Victoria, Australia, and it was published online in JAMA Dermatology.

LIMITATIONS:

Limitations include low certainty of evidence because of the observational nature of some of the studies, the small number of studies, and underrepresentation of darker skin types, limiting generalizability.

DISCLOSURES:

The review is part of an update to the PCOS guideline, which was funded by the Australian National Health and Medical Research Council through various organizations. Several authors reported receiving grants and personal fees outside this work. Dr. Tan was a member of the 2023 PCOS guideline evidence team. Other authors declared no conflicts of interest.

A version of this article appeared on Medscape.com.

BY DEEPA VARMA

TOPLINE:

In patients with polycystic ovary syndrome (PCOS), laser and light therapies, alone or in combination with pharmacological agents, improve hirsutism and psychological well-being in women, according to the results of a systematic review.

METHODOLOGY:

• Hirsutism, which affects 70%-80% of women with PCOS, is frequently marginalized as a cosmetic issue by healthcare providers, despite its significant psychological repercussions, including diminished self-esteem, reduced quality of life, and heightened depression.
• The 2023 international evidence-based PCOS guideline considers managing hirsutism a priority in women with PCOS.
• Researchers reviewed six studies (four randomized controlled trials and two cohort studies), which included 423 patients with PCOS who underwent laser or light-based hair reduction therapies, published through 2022.
• The studies evaluated the alexandrite laser, diode laser, and intense pulsed light (IPL) therapy, with and without pharmacological treatments. The main outcomes were hirsutism severity, psychological outcome, and adverse events.

TAKEAWAY:

• Alexandrite laser (wavelength, 755 nm) showed effective hair reduction and improved patient satisfaction (one study); high-fluence treatment yielded better outcomes than low-fluence treatment (one study). Alexandrite laser 755 nm also showed longer hair-free intervals and greater hair reduction than IPL therapy at 650-1000 nm (one study).
• Combined IPL (600 nm) and metformin therapy improved hirsutism and hair count reduction compared with IPL alone, but with more side effects (one study).
• Diode laser treatments (810 nm) with combined oral contraceptives improved hirsutism and related quality of life measures compared with diode laser alone or with metformin (one study).
• Comparing two diode lasers (wavelengths, 810 nm), low-fluence, high repetition laser showed superior hair width reduction and lower pain scores than high fluence, low-repetition laser (one study).

IN PRACTICE:

Laser and light treatments alone or combined with other treatments have demonstrated “encouraging results in reducing hirsutism severity, enhancing psychological well-being, and improving overall quality of life for affected individuals,” the authors wrote, noting that additional high-quality trials evaluating these treatments, which include more patients with different skin tones, are needed.

SOURCE:

The first author of the review is Katrina Tan, MD, Monash Health, Department of Dermatology, Melbourne, Victoria, Australia, and it was published online in JAMA Dermatology.

LIMITATIONS:

Limitations include low certainty of evidence because of the observational nature of some of the studies, the small number of studies, and underrepresentation of darker skin types, limiting generalizability.

DISCLOSURES:

The review is part of an update to the PCOS guideline, which was funded by the Australian National Health and Medical Research Council through various organizations. Several authors reported receiving grants and personal fees outside this work. Dr. Tan was a member of the 2023 PCOS guideline evidence team. Other authors declared no conflicts of interest.

A version of this article appeared on Medscape.com.

BY DEEPA VARMA

TOPLINE:

In patients with polycystic ovary syndrome (PCOS), laser and light therapies, alone or in combination with pharmacological agents, improve hirsutism and psychological well-being in women, according to the results of a systematic review.

METHODOLOGY:

• Hirsutism, which affects 70%-80% of women with PCOS, is frequently marginalized as a cosmetic issue by healthcare providers, despite its significant psychological repercussions, including diminished self-esteem, reduced quality of life, and heightened depression.
• The 2023 international evidence-based PCOS guideline considers managing hirsutism a priority in women with PCOS.
• Researchers reviewed six studies (four randomized controlled trials and two cohort studies), which included 423 patients with PCOS who underwent laser or light-based hair reduction therapies, published through 2022.
• The studies evaluated the alexandrite laser, diode laser, and intense pulsed light (IPL) therapy, with and without pharmacological treatments. The main outcomes were hirsutism severity, psychological outcome, and adverse events.

TAKEAWAY:

• Alexandrite laser (wavelength, 755 nm) showed effective hair reduction and improved patient satisfaction (one study); high-fluence treatment yielded better outcomes than low-fluence treatment (one study). Alexandrite laser 755 nm also showed longer hair-free intervals and greater hair reduction than IPL therapy at 650-1000 nm (one study).
• Combined IPL (600 nm) and metformin therapy improved hirsutism and hair count reduction compared with IPL alone, but with more side effects (one study).
• Diode laser treatments (810 nm) with combined oral contraceptives improved hirsutism and related quality of life measures compared with diode laser alone or with metformin (one study).
• Comparing two diode lasers (wavelengths, 810 nm), low-fluence, high repetition laser showed superior hair width reduction and lower pain scores than high fluence, low-repetition laser (one study).

IN PRACTICE:

Laser and light treatments alone or combined with other treatments have demonstrated “encouraging results in reducing hirsutism severity, enhancing psychological well-being, and improving overall quality of life for affected individuals,” the authors wrote, noting that additional high-quality trials evaluating these treatments, which include more patients with different skin tones, are needed.

SOURCE:

The first author of the review is Katrina Tan, MD, Monash Health, Department of Dermatology, Melbourne, Victoria, Australia, and it was published online in JAMA Dermatology.

LIMITATIONS:

Limitations include low certainty of evidence because of the observational nature of some of the studies, the small number of studies, and underrepresentation of darker skin types, limiting generalizability.

DISCLOSURES:

The review is part of an update to the PCOS guideline, which was funded by the Australian National Health and Medical Research Council through various organizations. Several authors reported receiving grants and personal fees outside this work. Dr. Tan was a member of the 2023 PCOS guideline evidence team. Other authors declared no conflicts of interest.

A version of this article appeared on Medscape.com.

The addition of an angiotensin-converting enzyme (ACE) inhibitor did not decrease risk for chemotherapy-related cardiac damage in patients being treated for breast cancer and non-Hodgkin lymphoma (NHL), a new randomized trial showed.

The results suggested adding an ACE inhibitor doesn’t affect cardiac injury or cardiac function outcomes “and should not be used as a preventative strategy” in these patients, David Austin, MD, consultant cardiologist, Academic Cardiovascular Unit, The James Cook University Hospital, Middlesbrough, England, and chief investigator for the PROACT study, told this news organization.

But while these negative results are disappointing, he said, “we now have a definitive result in a robustly conducted trial that will take the field forward.”

The findings were presented on April 8, 2024, at the American College of Cardiology (ACC) Scientific Session 2024.

Anthracyclines, which are extracted from Streptomyces bacterium, are chemotherapy drugs widely used to treat several types of cancer. Doxorubicin is among the most clinically important anthracyclines.

While extremely effective, anthracyclines can cause irreversible damage to cardiac cells and ultimately impair cardiac function and even cause heart failure, which may only be evident years after exposure. “Cardiac injury is very common in patients treated with high dose anthracyclines,” noted Dr. Austin.

The open-label PROACT study included 111 adult patients, mean age 58 years and predominantly White and women, being treated for breast cancer (62%) or NHL (38%) at National Health Service hospitals in England with high-dose anthracycline-based chemotherapy.

Patients were randomized to standard care (six cycles of high-dose doxorubicin-equivalent anthracycline-based chemotherapy) plus the ACE inhibitor enalapril maleate or standard care alone. The mean chemotherapy dose was 328 mg/m2; any dose greater than 300 is considered high.

The starting dose of enalapril was 2.5 mg twice a day, which was titrated up to a maximum of 10 mg twice a day. The ACE inhibitor was started at least 2 days before chemotherapy began and finished 3 weeks after the last anthracycline dose.

During the study, enalapril was titrated to 20 mg in more than 75% of patients, with the mean dose being 17.7 mg.
 

Myocardial Injury Outcome

The primary outcome was myocardial injury measured by the presence (≥ 14 ng/L) of high sensitivity cardiac troponin T (cTnT) during anthracycline treatment and 1 month after the last dose of anthracycline.

cTnT is highly expressed in cardiomyocytes and has become a preferred biomarker for detecting acute myocardial infarction and other causes of myocardial injury.

Blood sampling for cTnT and cardiac troponin I (cTnI) was performed at baseline, within 72 hours prior to chemotherapy and at trial completion. All patients had negative troponin results at baseline, indicating no heart damage.

A majority of patients experienced elevations in troponin (78% in the enalapril group and 83% in the standard of care group), but there was no statistically significant difference between groups (adjusted odds ratio [OR], 0.65; 95% CI, 0.23-1.78; P = .405).

There was also no significant difference between groups in terms of cTnI, a secondary endpoint. However, the proportion of patients testing positive for cTnI (47% in the enalapril group and 45% in controls) was substantially lower than that for cTnT.
 

Large Discrepancy

The “large discrepancy in the rate of injury” with cTnT “has implications for the clinical interpretation of cardiac biomarkers in routine practice, and we should proceed with caution,” Dr. Austin told this news organization.

The finding has implications because guidelines don’t currently differentiate based on the type of troponin, Dr. Austin said in a press release. “I was surprised by the difference, and I think this raises the question of what troponin we should be using.”

Secondary outcomes focused on cardiac function, measured using echocardiography and included left ventricular global longitudinal strain (LVGLS) and left ventricular ejection fraction (LVEF). These were measured at baseline, 4 weeks after the last anthracycline dose and 1 year after the final chemotherapy.

There was no between-group difference in LVGLS cardiac function (21% for enalapril vs 22% for standard of care; adjusted OR, 0.95; 95% CI, 0.33-2.74; P = .921). This was also true for LVEF (4% for enalapril vs 0% for standard of care group; adjusted OR, 4.89; 95% CI, 0.40-674.62; P = .236).

Asked what the research team plans to do next, Dr. Austin said “the immediate first step” is to continue following PROACT patients. “We know heart failure events and cardiac dysfunction can occur later down the line.”

Due to the challenge of enrolling patients into trials like PROACT, “we should come together as a sort of a broader cardiovascular/oncology academic community to try to understand how we can better recruit patients into these studies,” said Dr. Austin.

“We need to solve that problem before we then go on to maybe examine other potential preventative therapies.”

He doesn’t think an alternative ACE inhibitor would prove beneficial. “We need to look elsewhere for effective therapies in this area.”

He noted these new findings are “broadly consistent” with other trials that investigated angiotensin receptor blockers.
 

Tough Population

Commenting on the study during a media briefing, Anita Deswal, chair, medicine, Department of Cardiology, Division of Internal Medicine, The University of Texas, commended the researchers for managing to enroll patients with cancer as this is “a tough” population to get to agree to being in a clinical trial.

“These patients are often overwhelmed financially, physically, and emotionally with the cancer diagnosis, as well as the cancer therapy and, therefore, to enroll them in something to prevent, maybe, some potential cardiac toxicity down the line, is really hard.”

Past trials investigating neuro-hormonal blockers to prevent cardiotoxicity have been criticized for enrolling patients at “too low risk,” said Dr. Deswal. “But investigators here went that step beyond and enrolled patients who were going to receive higher doses of anthracyclines, so kudos to that.”

And she noted investigators managed to get patients on almost the maximum dose of enalapril. “So, the drug was poised to have an effect — if it was there.”

The negative results may have something to do with endpoints. “Maybe we haven’t quite figured out what are the cutoffs for high sensitivity troponin I that identify patients truly at risk” of developing heart failure in the future.

Commenting on the study for this news organization, Anu Lala, MD, assistant professor of medicine at the Icahn School of Medicine at Mount Sinai, New York City, said the results may come as a surprise to some.

“ACE inhibitors are considered cardioprotective and for this reason are often used prophylactically in patients receiving chemotherapy.”

Dr. Lala agrees troponin may not be the right endpoint. “Another question is whether clinical outcomes should be followed in addition to symptoms or onset of any heart failure symptoms, which may hold greater prognostic significance.”

The study was funded by the National Institute for Health and Care Research.

A version of this article appeared on Medscape.com.

The addition of an angiotensin-converting enzyme (ACE) inhibitor did not decrease risk for chemotherapy-related cardiac damage in patients being treated for breast cancer and non-Hodgkin lymphoma (NHL), a new randomized trial showed.

The results suggested adding an ACE inhibitor doesn’t affect cardiac injury or cardiac function outcomes “and should not be used as a preventative strategy” in these patients, David Austin, MD, consultant cardiologist, Academic Cardiovascular Unit, The James Cook University Hospital, Middlesbrough, England, and chief investigator for the PROACT study, told this news organization.

But while these negative results are disappointing, he said, “we now have a definitive result in a robustly conducted trial that will take the field forward.”

The findings were presented on April 8, 2024, at the American College of Cardiology (ACC) Scientific Session 2024.

Anthracyclines, which are extracted from Streptomyces bacterium, are chemotherapy drugs widely used to treat several types of cancer. Doxorubicin is among the most clinically important anthracyclines.

While extremely effective, anthracyclines can cause irreversible damage to cardiac cells and ultimately impair cardiac function and even cause heart failure, which may only be evident years after exposure. “Cardiac injury is very common in patients treated with high dose anthracyclines,” noted Dr. Austin.

The open-label PROACT study included 111 adult patients, mean age 58 years and predominantly White and women, being treated for breast cancer (62%) or NHL (38%) at National Health Service hospitals in England with high-dose anthracycline-based chemotherapy.

Patients were randomized to standard care (six cycles of high-dose doxorubicin-equivalent anthracycline-based chemotherapy) plus the ACE inhibitor enalapril maleate or standard care alone. The mean chemotherapy dose was 328 mg/m2; any dose greater than 300 is considered high.

The starting dose of enalapril was 2.5 mg twice a day, which was titrated up to a maximum of 10 mg twice a day. The ACE inhibitor was started at least 2 days before chemotherapy began and finished 3 weeks after the last anthracycline dose.

During the study, enalapril was titrated to 20 mg in more than 75% of patients, with the mean dose being 17.7 mg.
 

Myocardial Injury Outcome

The primary outcome was myocardial injury measured by the presence (≥ 14 ng/L) of high sensitivity cardiac troponin T (cTnT) during anthracycline treatment and 1 month after the last dose of anthracycline.

cTnT is highly expressed in cardiomyocytes and has become a preferred biomarker for detecting acute myocardial infarction and other causes of myocardial injury.

Blood sampling for cTnT and cardiac troponin I (cTnI) was performed at baseline, within 72 hours prior to chemotherapy and at trial completion. All patients had negative troponin results at baseline, indicating no heart damage.

A majority of patients experienced elevations in troponin (78% in the enalapril group and 83% in the standard of care group), but there was no statistically significant difference between groups (adjusted odds ratio [OR], 0.65; 95% CI, 0.23-1.78; P = .405).

There was also no significant difference between groups in terms of cTnI, a secondary endpoint. However, the proportion of patients testing positive for cTnI (47% in the enalapril group and 45% in controls) was substantially lower than that for cTnT.
 

Large Discrepancy

The “large discrepancy in the rate of injury” with cTnT “has implications for the clinical interpretation of cardiac biomarkers in routine practice, and we should proceed with caution,” Dr. Austin told this news organization.

The finding has implications because guidelines don’t currently differentiate based on the type of troponin, Dr. Austin said in a press release. “I was surprised by the difference, and I think this raises the question of what troponin we should be using.”

Secondary outcomes focused on cardiac function, measured using echocardiography and included left ventricular global longitudinal strain (LVGLS) and left ventricular ejection fraction (LVEF). These were measured at baseline, 4 weeks after the last anthracycline dose and 1 year after the final chemotherapy.

There was no between-group difference in LVGLS cardiac function (21% for enalapril vs 22% for standard of care; adjusted OR, 0.95; 95% CI, 0.33-2.74; P = .921). This was also true for LVEF (4% for enalapril vs 0% for standard of care group; adjusted OR, 4.89; 95% CI, 0.40-674.62; P = .236).

Asked what the research team plans to do next, Dr. Austin said “the immediate first step” is to continue following PROACT patients. “We know heart failure events and cardiac dysfunction can occur later down the line.”

Due to the challenge of enrolling patients into trials like PROACT, “we should come together as a sort of a broader cardiovascular/oncology academic community to try to understand how we can better recruit patients into these studies,” said Dr. Austin.

“We need to solve that problem before we then go on to maybe examine other potential preventative therapies.”

He doesn’t think an alternative ACE inhibitor would prove beneficial. “We need to look elsewhere for effective therapies in this area.”

He noted these new findings are “broadly consistent” with other trials that investigated angiotensin receptor blockers.
 

Tough Population

Commenting on the study during a media briefing, Anita Deswal, chair, medicine, Department of Cardiology, Division of Internal Medicine, The University of Texas, commended the researchers for managing to enroll patients with cancer as this is “a tough” population to get to agree to being in a clinical trial.

“These patients are often overwhelmed financially, physically, and emotionally with the cancer diagnosis, as well as the cancer therapy and, therefore, to enroll them in something to prevent, maybe, some potential cardiac toxicity down the line, is really hard.”

Past trials investigating neuro-hormonal blockers to prevent cardiotoxicity have been criticized for enrolling patients at “too low risk,” said Dr. Deswal. “But investigators here went that step beyond and enrolled patients who were going to receive higher doses of anthracyclines, so kudos to that.”

And she noted investigators managed to get patients on almost the maximum dose of enalapril. “So, the drug was poised to have an effect — if it was there.”

The negative results may have something to do with endpoints. “Maybe we haven’t quite figured out what are the cutoffs for high sensitivity troponin I that identify patients truly at risk” of developing heart failure in the future.

Commenting on the study for this news organization, Anu Lala, MD, assistant professor of medicine at the Icahn School of Medicine at Mount Sinai, New York City, said the results may come as a surprise to some.

“ACE inhibitors are considered cardioprotective and for this reason are often used prophylactically in patients receiving chemotherapy.”

Dr. Lala agrees troponin may not be the right endpoint. “Another question is whether clinical outcomes should be followed in addition to symptoms or onset of any heart failure symptoms, which may hold greater prognostic significance.”

The study was funded by the National Institute for Health and Care Research.

A version of this article appeared on Medscape.com.

The addition of an angiotensin-converting enzyme (ACE) inhibitor did not decrease risk for chemotherapy-related cardiac damage in patients being treated for breast cancer and non-Hodgkin lymphoma (NHL), a new randomized trial showed.

The results suggested adding an ACE inhibitor doesn’t affect cardiac injury or cardiac function outcomes “and should not be used as a preventative strategy” in these patients, David Austin, MD, consultant cardiologist, Academic Cardiovascular Unit, The James Cook University Hospital, Middlesbrough, England, and chief investigator for the PROACT study, told this news organization.

But while these negative results are disappointing, he said, “we now have a definitive result in a robustly conducted trial that will take the field forward.”

The findings were presented on April 8, 2024, at the American College of Cardiology (ACC) Scientific Session 2024.

Anthracyclines, which are extracted from Streptomyces bacterium, are chemotherapy drugs widely used to treat several types of cancer. Doxorubicin is among the most clinically important anthracyclines.

While extremely effective, anthracyclines can cause irreversible damage to cardiac cells and ultimately impair cardiac function and even cause heart failure, which may only be evident years after exposure. “Cardiac injury is very common in patients treated with high dose anthracyclines,” noted Dr. Austin.

The open-label PROACT study included 111 adult patients, mean age 58 years and predominantly White and women, being treated for breast cancer (62%) or NHL (38%) at National Health Service hospitals in England with high-dose anthracycline-based chemotherapy.

Patients were randomized to standard care (six cycles of high-dose doxorubicin-equivalent anthracycline-based chemotherapy) plus the ACE inhibitor enalapril maleate or standard care alone. The mean chemotherapy dose was 328 mg/m2; any dose greater than 300 is considered high.

The starting dose of enalapril was 2.5 mg twice a day, which was titrated up to a maximum of 10 mg twice a day. The ACE inhibitor was started at least 2 days before chemotherapy began and finished 3 weeks after the last anthracycline dose.

During the study, enalapril was titrated to 20 mg in more than 75% of patients, with the mean dose being 17.7 mg.
 

Myocardial Injury Outcome

The primary outcome was myocardial injury measured by the presence (≥ 14 ng/L) of high sensitivity cardiac troponin T (cTnT) during anthracycline treatment and 1 month after the last dose of anthracycline.

cTnT is highly expressed in cardiomyocytes and has become a preferred biomarker for detecting acute myocardial infarction and other causes of myocardial injury.

Blood sampling for cTnT and cardiac troponin I (cTnI) was performed at baseline, within 72 hours prior to chemotherapy and at trial completion. All patients had negative troponin results at baseline, indicating no heart damage.

A majority of patients experienced elevations in troponin (78% in the enalapril group and 83% in the standard of care group), but there was no statistically significant difference between groups (adjusted odds ratio [OR], 0.65; 95% CI, 0.23-1.78; P = .405).

There was also no significant difference between groups in terms of cTnI, a secondary endpoint. However, the proportion of patients testing positive for cTnI (47% in the enalapril group and 45% in controls) was substantially lower than that for cTnT.
 

Large Discrepancy

The “large discrepancy in the rate of injury” with cTnT “has implications for the clinical interpretation of cardiac biomarkers in routine practice, and we should proceed with caution,” Dr. Austin told this news organization.

The finding has implications because guidelines don’t currently differentiate based on the type of troponin, Dr. Austin said in a press release. “I was surprised by the difference, and I think this raises the question of what troponin we should be using.”

Secondary outcomes focused on cardiac function, measured using echocardiography and included left ventricular global longitudinal strain (LVGLS) and left ventricular ejection fraction (LVEF). These were measured at baseline, 4 weeks after the last anthracycline dose and 1 year after the final chemotherapy.

There was no between-group difference in LVGLS cardiac function (21% for enalapril vs 22% for standard of care; adjusted OR, 0.95; 95% CI, 0.33-2.74; P = .921). This was also true for LVEF (4% for enalapril vs 0% for standard of care group; adjusted OR, 4.89; 95% CI, 0.40-674.62; P = .236).

Asked what the research team plans to do next, Dr. Austin said “the immediate first step” is to continue following PROACT patients. “We know heart failure events and cardiac dysfunction can occur later down the line.”

Due to the challenge of enrolling patients into trials like PROACT, “we should come together as a sort of a broader cardiovascular/oncology academic community to try to understand how we can better recruit patients into these studies,” said Dr. Austin.

“We need to solve that problem before we then go on to maybe examine other potential preventative therapies.”

He doesn’t think an alternative ACE inhibitor would prove beneficial. “We need to look elsewhere for effective therapies in this area.”

He noted these new findings are “broadly consistent” with other trials that investigated angiotensin receptor blockers.
 

Tough Population

Commenting on the study during a media briefing, Anita Deswal, chair, medicine, Department of Cardiology, Division of Internal Medicine, The University of Texas, commended the researchers for managing to enroll patients with cancer as this is “a tough” population to get to agree to being in a clinical trial.

“These patients are often overwhelmed financially, physically, and emotionally with the cancer diagnosis, as well as the cancer therapy and, therefore, to enroll them in something to prevent, maybe, some potential cardiac toxicity down the line, is really hard.”

Past trials investigating neuro-hormonal blockers to prevent cardiotoxicity have been criticized for enrolling patients at “too low risk,” said Dr. Deswal. “But investigators here went that step beyond and enrolled patients who were going to receive higher doses of anthracyclines, so kudos to that.”

And she noted investigators managed to get patients on almost the maximum dose of enalapril. “So, the drug was poised to have an effect — if it was there.”

The negative results may have something to do with endpoints. “Maybe we haven’t quite figured out what are the cutoffs for high sensitivity troponin I that identify patients truly at risk” of developing heart failure in the future.

Commenting on the study for this news organization, Anu Lala, MD, assistant professor of medicine at the Icahn School of Medicine at Mount Sinai, New York City, said the results may come as a surprise to some.

“ACE inhibitors are considered cardioprotective and for this reason are often used prophylactically in patients receiving chemotherapy.”

Dr. Lala agrees troponin may not be the right endpoint. “Another question is whether clinical outcomes should be followed in addition to symptoms or onset of any heart failure symptoms, which may hold greater prognostic significance.”

The study was funded by the National Institute for Health and Care Research.

A version of this article appeared on Medscape.com.