Unveiling the potential of prediction models in obstetrics

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In the dawn of artificial intelligence’s potential to inform clinical practice, the importance of understanding the intent and interpretation of prediction tools is vital. In medicine, informed decision-making promotes patient autonomy and can lead to improved patient satisfaction and engagement in their own care.

Prediction models can assist clinicians in providing comprehensive antenatal counseling that promotes discussion of potential risks and outcomes to help patients understand the implications of different management options. This shared understanding enables patients to make informed choices about their care, reducing anxiety and increasing confidence in medical decision-making.

Tufts University
Dr. Sebastian Z. Ramos

In obstetric clinical practice, prediction tools have been created to assess risk of primary cesarean delivery in gestational diabetes,1 cesarean delivery in hypertensive disorders of pregnancy,2 and failed induction of labor in nulliparous patients with an unfavorable cervix.3 By assessing a patient’s risk profile, clinicians can identify high-risk individuals who may require closer monitoring, early interventions, or specialized care. This allows for more timely interventions to optimize maternal and fetal health outcomes.

Other prediction tools are created to better elucidate to patients their individual risk of an outcome that may be modifiable, aiding physician counseling on mitigating factors to improve overall results. A relevant example is the American Diabetes Association’s risk of type 2 diabetes calculator used for counseling patients on risk reduction. This model includes both preexisting (ethnicity, family history, age, sex assigned at birth) and modifiable risk factors (body mass index, hypertension, physical activity) to predict risk of type 2 diabetes and is widely used in clinical practice to encourage integration of lifestyle changes to decrease risk.4 This model highlights the utility of prediction tools in counseling, providing quantitative data to clinicians to discuss a patient’s individual risk and how to mitigate that risk.

While predictive models clearly have many advantages and potential to improve personalized medicine, concerns have been raised that their interpretation and application can sometimes have unintended consequences as the complexity of these models can lead to variation in understanding among clinicians that impact decision-making. Different clinicians may assign different levels of importance to the predicted risks, resulting in differences in treatment plans and interventions. This variability can lead to disparities in care and outcomes, as patients with similar risk profiles may receive different management approaches based on the interpreting clinician.

Providers may either overly rely on prediction models or completely disregard them, depending on their level of trust or skepticism. Overreliance on prediction models may lead to the neglect of important clinical information or intuition, while disregarding the models may result in missed opportunities for early intervention or appropriate risk stratification. Achieving a balance between clinical judgment and the use of prediction models is crucial for optimal decision-making.

An example of how misinterpretation of the role of prediction tools in patient counseling can have far reaching consequences is the vaginal birth after cesarean (VBAC) calculator where race and ethnicity naturalized racial differences and likely contributed to cesarean overuse in Black pregnant people as non-White race was associated with a decreased chance of successful VBAC. Although the authors of the study that created the VBAC calculator intended it to be used as an adjunct to counseling, institutions and providers used low calculator scores to discourage or prohibit pregnant people from attempting a trial of labor after cesarean (TOLAC). This highlighted the importance of contextualizing the intent of prediction models within the broader clinical setting and individual patient circumstances and preferences.

This gap between intent and interpretation and subsequent application is influenced by individual clinician experience, training, personal biases, and subjective judgment. These subjective elements can introduce inconsistencies and variability in the utilization of prediction tools, leading to potential discrepancies in patient care. Inadequate understanding of prediction models and their statistical concepts can contribute to misinterpretation. It is this bias that prevents prediction models from serving their true purpose: to inform clinical decision-making, improve patient outcomes, and optimize resource allocation.

Clinicians may struggle with concepts such as predictive accuracy, overfitting, calibration, and external validation. Educational initiatives and enhanced training in statistical literacy can empower clinicians to better comprehend and apply prediction models in their practice. Researchers should make it clear that models should not be used in isolation, but rather integrated with clinical expertise and patient preferences. Understanding the limitations of prediction models and incorporating additional clinical information is essential.

Prediction models in obstetrics should undergo continuous evaluation and improvement to enhance their reliability and applicability. Regular updates, external validation, and recalibration are necessary to account for evolving clinical practices, changes in patient populations, and emerging evidence. Engaging clinicians in the evaluation process can foster ownership and promote a sense of trust in the models.

As machine learning and artificial intelligence improve the accuracy of prediction models, there is potential to revolutionize obstetric care by enabling more accurate individualized risk assessment and decision-making. Machine learning has the potential to significantly enhance prediction models in obstetrics by leveraging complex algorithms and advanced computational techniques. However, the unpredictable nature of clinician interpretation poses challenges to the effective utilization of these models.

By emphasizing communication, collaboration, education, and continuous evaluation, we can bridge the gap between prediction models and clinician interpretation that optimizes their use. This concerted effort will ultimately lead to improved patient care, enhanced clinical outcomes, and a more harmonious integration of these tools into obstetric practice.

Dr. Ramos is assistant professor of maternal fetal medicine and associate principal investigator at the Mother Infant Research Institute, Tufts University and Tufts Medical Center, Boston.

References

1. Ramos SZ et al. Predicting primary cesarean delivery in pregnancies complicated by gestational diabetes mellitus. Am J Obstet Gynecol. 2023 Jun 7;S0002-9378(23)00371-X. doi: 10.1016/j.ajog.2023.06.002.

2. Beninati MJ et al. Prediction model for vaginal birth after induction of labor in women with hypertensive disorders of pregnancy. Obstet Gynecol. 2020 Aug;136(2):402-410. doi: 10.1097/AOG.0000000000003938.

3. Levine LD et al. A validated calculator to estimate risk of cesarean after an induction of labor with an unfavorable cervix. Am J Obstet Gynecol. 2018 Feb;218(2):254.e1-254.e7. doi: 10.1016/j.ajog.2017.11.603.

4. American Diabetes Association. Our 60-Second Type 2 Diabetes Risk Test.

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In the dawn of artificial intelligence’s potential to inform clinical practice, the importance of understanding the intent and interpretation of prediction tools is vital. In medicine, informed decision-making promotes patient autonomy and can lead to improved patient satisfaction and engagement in their own care.

Prediction models can assist clinicians in providing comprehensive antenatal counseling that promotes discussion of potential risks and outcomes to help patients understand the implications of different management options. This shared understanding enables patients to make informed choices about their care, reducing anxiety and increasing confidence in medical decision-making.

Tufts University
Dr. Sebastian Z. Ramos

In obstetric clinical practice, prediction tools have been created to assess risk of primary cesarean delivery in gestational diabetes,1 cesarean delivery in hypertensive disorders of pregnancy,2 and failed induction of labor in nulliparous patients with an unfavorable cervix.3 By assessing a patient’s risk profile, clinicians can identify high-risk individuals who may require closer monitoring, early interventions, or specialized care. This allows for more timely interventions to optimize maternal and fetal health outcomes.

Other prediction tools are created to better elucidate to patients their individual risk of an outcome that may be modifiable, aiding physician counseling on mitigating factors to improve overall results. A relevant example is the American Diabetes Association’s risk of type 2 diabetes calculator used for counseling patients on risk reduction. This model includes both preexisting (ethnicity, family history, age, sex assigned at birth) and modifiable risk factors (body mass index, hypertension, physical activity) to predict risk of type 2 diabetes and is widely used in clinical practice to encourage integration of lifestyle changes to decrease risk.4 This model highlights the utility of prediction tools in counseling, providing quantitative data to clinicians to discuss a patient’s individual risk and how to mitigate that risk.

While predictive models clearly have many advantages and potential to improve personalized medicine, concerns have been raised that their interpretation and application can sometimes have unintended consequences as the complexity of these models can lead to variation in understanding among clinicians that impact decision-making. Different clinicians may assign different levels of importance to the predicted risks, resulting in differences in treatment plans and interventions. This variability can lead to disparities in care and outcomes, as patients with similar risk profiles may receive different management approaches based on the interpreting clinician.

Providers may either overly rely on prediction models or completely disregard them, depending on their level of trust or skepticism. Overreliance on prediction models may lead to the neglect of important clinical information or intuition, while disregarding the models may result in missed opportunities for early intervention or appropriate risk stratification. Achieving a balance between clinical judgment and the use of prediction models is crucial for optimal decision-making.

An example of how misinterpretation of the role of prediction tools in patient counseling can have far reaching consequences is the vaginal birth after cesarean (VBAC) calculator where race and ethnicity naturalized racial differences and likely contributed to cesarean overuse in Black pregnant people as non-White race was associated with a decreased chance of successful VBAC. Although the authors of the study that created the VBAC calculator intended it to be used as an adjunct to counseling, institutions and providers used low calculator scores to discourage or prohibit pregnant people from attempting a trial of labor after cesarean (TOLAC). This highlighted the importance of contextualizing the intent of prediction models within the broader clinical setting and individual patient circumstances and preferences.

This gap between intent and interpretation and subsequent application is influenced by individual clinician experience, training, personal biases, and subjective judgment. These subjective elements can introduce inconsistencies and variability in the utilization of prediction tools, leading to potential discrepancies in patient care. Inadequate understanding of prediction models and their statistical concepts can contribute to misinterpretation. It is this bias that prevents prediction models from serving their true purpose: to inform clinical decision-making, improve patient outcomes, and optimize resource allocation.

Clinicians may struggle with concepts such as predictive accuracy, overfitting, calibration, and external validation. Educational initiatives and enhanced training in statistical literacy can empower clinicians to better comprehend and apply prediction models in their practice. Researchers should make it clear that models should not be used in isolation, but rather integrated with clinical expertise and patient preferences. Understanding the limitations of prediction models and incorporating additional clinical information is essential.

Prediction models in obstetrics should undergo continuous evaluation and improvement to enhance their reliability and applicability. Regular updates, external validation, and recalibration are necessary to account for evolving clinical practices, changes in patient populations, and emerging evidence. Engaging clinicians in the evaluation process can foster ownership and promote a sense of trust in the models.

As machine learning and artificial intelligence improve the accuracy of prediction models, there is potential to revolutionize obstetric care by enabling more accurate individualized risk assessment and decision-making. Machine learning has the potential to significantly enhance prediction models in obstetrics by leveraging complex algorithms and advanced computational techniques. However, the unpredictable nature of clinician interpretation poses challenges to the effective utilization of these models.

By emphasizing communication, collaboration, education, and continuous evaluation, we can bridge the gap between prediction models and clinician interpretation that optimizes their use. This concerted effort will ultimately lead to improved patient care, enhanced clinical outcomes, and a more harmonious integration of these tools into obstetric practice.

Dr. Ramos is assistant professor of maternal fetal medicine and associate principal investigator at the Mother Infant Research Institute, Tufts University and Tufts Medical Center, Boston.

References

1. Ramos SZ et al. Predicting primary cesarean delivery in pregnancies complicated by gestational diabetes mellitus. Am J Obstet Gynecol. 2023 Jun 7;S0002-9378(23)00371-X. doi: 10.1016/j.ajog.2023.06.002.

2. Beninati MJ et al. Prediction model for vaginal birth after induction of labor in women with hypertensive disorders of pregnancy. Obstet Gynecol. 2020 Aug;136(2):402-410. doi: 10.1097/AOG.0000000000003938.

3. Levine LD et al. A validated calculator to estimate risk of cesarean after an induction of labor with an unfavorable cervix. Am J Obstet Gynecol. 2018 Feb;218(2):254.e1-254.e7. doi: 10.1016/j.ajog.2017.11.603.

4. American Diabetes Association. Our 60-Second Type 2 Diabetes Risk Test.

In the dawn of artificial intelligence’s potential to inform clinical practice, the importance of understanding the intent and interpretation of prediction tools is vital. In medicine, informed decision-making promotes patient autonomy and can lead to improved patient satisfaction and engagement in their own care.

Prediction models can assist clinicians in providing comprehensive antenatal counseling that promotes discussion of potential risks and outcomes to help patients understand the implications of different management options. This shared understanding enables patients to make informed choices about their care, reducing anxiety and increasing confidence in medical decision-making.

Tufts University
Dr. Sebastian Z. Ramos

In obstetric clinical practice, prediction tools have been created to assess risk of primary cesarean delivery in gestational diabetes,1 cesarean delivery in hypertensive disorders of pregnancy,2 and failed induction of labor in nulliparous patients with an unfavorable cervix.3 By assessing a patient’s risk profile, clinicians can identify high-risk individuals who may require closer monitoring, early interventions, or specialized care. This allows for more timely interventions to optimize maternal and fetal health outcomes.

Other prediction tools are created to better elucidate to patients their individual risk of an outcome that may be modifiable, aiding physician counseling on mitigating factors to improve overall results. A relevant example is the American Diabetes Association’s risk of type 2 diabetes calculator used for counseling patients on risk reduction. This model includes both preexisting (ethnicity, family history, age, sex assigned at birth) and modifiable risk factors (body mass index, hypertension, physical activity) to predict risk of type 2 diabetes and is widely used in clinical practice to encourage integration of lifestyle changes to decrease risk.4 This model highlights the utility of prediction tools in counseling, providing quantitative data to clinicians to discuss a patient’s individual risk and how to mitigate that risk.

While predictive models clearly have many advantages and potential to improve personalized medicine, concerns have been raised that their interpretation and application can sometimes have unintended consequences as the complexity of these models can lead to variation in understanding among clinicians that impact decision-making. Different clinicians may assign different levels of importance to the predicted risks, resulting in differences in treatment plans and interventions. This variability can lead to disparities in care and outcomes, as patients with similar risk profiles may receive different management approaches based on the interpreting clinician.

Providers may either overly rely on prediction models or completely disregard them, depending on their level of trust or skepticism. Overreliance on prediction models may lead to the neglect of important clinical information or intuition, while disregarding the models may result in missed opportunities for early intervention or appropriate risk stratification. Achieving a balance between clinical judgment and the use of prediction models is crucial for optimal decision-making.

An example of how misinterpretation of the role of prediction tools in patient counseling can have far reaching consequences is the vaginal birth after cesarean (VBAC) calculator where race and ethnicity naturalized racial differences and likely contributed to cesarean overuse in Black pregnant people as non-White race was associated with a decreased chance of successful VBAC. Although the authors of the study that created the VBAC calculator intended it to be used as an adjunct to counseling, institutions and providers used low calculator scores to discourage or prohibit pregnant people from attempting a trial of labor after cesarean (TOLAC). This highlighted the importance of contextualizing the intent of prediction models within the broader clinical setting and individual patient circumstances and preferences.

This gap between intent and interpretation and subsequent application is influenced by individual clinician experience, training, personal biases, and subjective judgment. These subjective elements can introduce inconsistencies and variability in the utilization of prediction tools, leading to potential discrepancies in patient care. Inadequate understanding of prediction models and their statistical concepts can contribute to misinterpretation. It is this bias that prevents prediction models from serving their true purpose: to inform clinical decision-making, improve patient outcomes, and optimize resource allocation.

Clinicians may struggle with concepts such as predictive accuracy, overfitting, calibration, and external validation. Educational initiatives and enhanced training in statistical literacy can empower clinicians to better comprehend and apply prediction models in their practice. Researchers should make it clear that models should not be used in isolation, but rather integrated with clinical expertise and patient preferences. Understanding the limitations of prediction models and incorporating additional clinical information is essential.

Prediction models in obstetrics should undergo continuous evaluation and improvement to enhance their reliability and applicability. Regular updates, external validation, and recalibration are necessary to account for evolving clinical practices, changes in patient populations, and emerging evidence. Engaging clinicians in the evaluation process can foster ownership and promote a sense of trust in the models.

As machine learning and artificial intelligence improve the accuracy of prediction models, there is potential to revolutionize obstetric care by enabling more accurate individualized risk assessment and decision-making. Machine learning has the potential to significantly enhance prediction models in obstetrics by leveraging complex algorithms and advanced computational techniques. However, the unpredictable nature of clinician interpretation poses challenges to the effective utilization of these models.

By emphasizing communication, collaboration, education, and continuous evaluation, we can bridge the gap between prediction models and clinician interpretation that optimizes their use. This concerted effort will ultimately lead to improved patient care, enhanced clinical outcomes, and a more harmonious integration of these tools into obstetric practice.

Dr. Ramos is assistant professor of maternal fetal medicine and associate principal investigator at the Mother Infant Research Institute, Tufts University and Tufts Medical Center, Boston.

References

1. Ramos SZ et al. Predicting primary cesarean delivery in pregnancies complicated by gestational diabetes mellitus. Am J Obstet Gynecol. 2023 Jun 7;S0002-9378(23)00371-X. doi: 10.1016/j.ajog.2023.06.002.

2. Beninati MJ et al. Prediction model for vaginal birth after induction of labor in women with hypertensive disorders of pregnancy. Obstet Gynecol. 2020 Aug;136(2):402-410. doi: 10.1097/AOG.0000000000003938.

3. Levine LD et al. A validated calculator to estimate risk of cesarean after an induction of labor with an unfavorable cervix. Am J Obstet Gynecol. 2018 Feb;218(2):254.e1-254.e7. doi: 10.1016/j.ajog.2017.11.603.

4. American Diabetes Association. Our 60-Second Type 2 Diabetes Risk Test.

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A 45-year-old White woman with no significant medical history presented with a 1-month history of lesions on the nose and right cheek

Article Type
Changed
Mon, 08/07/2023 - 12:13

Cultures for bacteria, varicella zoster virus, herpes simplex virus, and mpox virus were all negative. A biopsy revealed suprabasilar acantholysis with follicular involvement in association with blister formation and inflammation. Direct immunofluorescence was positive for suprabasilar IgG and C3 deposition, consistent with pemphigus vulgaris (PV).

PV is an autoimmune bullous disease in which antibodies are directed against desmoglein 1 and 3 and less commonly, plakoglobin. There is likely a genetic predisposition. Medications that may induce pemphigus include penicillamine, nifedipine, or captopril.

Clinically, flaccid blistering lesions are present that may be cutaneous and/or mucosal. Bullae can progress to erosions and crusting, which then heal with pigment alteration but not scarring. The most commonly affected sites are the mouth, intertriginous areas, face, and neck. Mucosal lesions may involve the lips, esophagus, conjunctiva, and genitals.

Dr. Donna Bilu Martin


Biopsy for histology and direct immunofluorescence is important in distinguishing between PV and other blistering disorders. Up to 75% of patients with active disease also have a positive indirect immunofluorescence with circulating IgG.

Treatment is generally immunosuppressive. Systemic therapy usually begins with prednisone and then is transitioned to a steroid-sparing agent such as mycophenolate mofetil. Other steroid-sparing agents include azathioprine, methotrexate, cyclophosphamide, and intravenous immunoglobulin. Secondary infections are possible and should be treated. Topical therapies aimed at reducing pain, especially in mucosal lesions, can be beneficial.

This case and the photos are from Dr. Bilu Martin.

Dr. Bilu Martin is a board-certified dermatologist in private practice at Premier Dermatology, MD, in Aventura, Fla. More diagnostic cases are available at mdedge.com/dermatology. To submit a case for possible publication, send an email to [email protected].

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Cultures for bacteria, varicella zoster virus, herpes simplex virus, and mpox virus were all negative. A biopsy revealed suprabasilar acantholysis with follicular involvement in association with blister formation and inflammation. Direct immunofluorescence was positive for suprabasilar IgG and C3 deposition, consistent with pemphigus vulgaris (PV).

PV is an autoimmune bullous disease in which antibodies are directed against desmoglein 1 and 3 and less commonly, plakoglobin. There is likely a genetic predisposition. Medications that may induce pemphigus include penicillamine, nifedipine, or captopril.

Clinically, flaccid blistering lesions are present that may be cutaneous and/or mucosal. Bullae can progress to erosions and crusting, which then heal with pigment alteration but not scarring. The most commonly affected sites are the mouth, intertriginous areas, face, and neck. Mucosal lesions may involve the lips, esophagus, conjunctiva, and genitals.

Dr. Donna Bilu Martin


Biopsy for histology and direct immunofluorescence is important in distinguishing between PV and other blistering disorders. Up to 75% of patients with active disease also have a positive indirect immunofluorescence with circulating IgG.

Treatment is generally immunosuppressive. Systemic therapy usually begins with prednisone and then is transitioned to a steroid-sparing agent such as mycophenolate mofetil. Other steroid-sparing agents include azathioprine, methotrexate, cyclophosphamide, and intravenous immunoglobulin. Secondary infections are possible and should be treated. Topical therapies aimed at reducing pain, especially in mucosal lesions, can be beneficial.

This case and the photos are from Dr. Bilu Martin.

Dr. Bilu Martin is a board-certified dermatologist in private practice at Premier Dermatology, MD, in Aventura, Fla. More diagnostic cases are available at mdedge.com/dermatology. To submit a case for possible publication, send an email to [email protected].

Cultures for bacteria, varicella zoster virus, herpes simplex virus, and mpox virus were all negative. A biopsy revealed suprabasilar acantholysis with follicular involvement in association with blister formation and inflammation. Direct immunofluorescence was positive for suprabasilar IgG and C3 deposition, consistent with pemphigus vulgaris (PV).

PV is an autoimmune bullous disease in which antibodies are directed against desmoglein 1 and 3 and less commonly, plakoglobin. There is likely a genetic predisposition. Medications that may induce pemphigus include penicillamine, nifedipine, or captopril.

Clinically, flaccid blistering lesions are present that may be cutaneous and/or mucosal. Bullae can progress to erosions and crusting, which then heal with pigment alteration but not scarring. The most commonly affected sites are the mouth, intertriginous areas, face, and neck. Mucosal lesions may involve the lips, esophagus, conjunctiva, and genitals.

Dr. Donna Bilu Martin


Biopsy for histology and direct immunofluorescence is important in distinguishing between PV and other blistering disorders. Up to 75% of patients with active disease also have a positive indirect immunofluorescence with circulating IgG.

Treatment is generally immunosuppressive. Systemic therapy usually begins with prednisone and then is transitioned to a steroid-sparing agent such as mycophenolate mofetil. Other steroid-sparing agents include azathioprine, methotrexate, cyclophosphamide, and intravenous immunoglobulin. Secondary infections are possible and should be treated. Topical therapies aimed at reducing pain, especially in mucosal lesions, can be beneficial.

This case and the photos are from Dr. Bilu Martin.

Dr. Bilu Martin is a board-certified dermatologist in private practice at Premier Dermatology, MD, in Aventura, Fla. More diagnostic cases are available at mdedge.com/dermatology. To submit a case for possible publication, send an email to [email protected].

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A 45-year-old White woman with no significant medical history presented with a 1-month history of lesions on the nose and right cheek. She did an online teleheath visit with primary care and was prescribed acyclovir with no improvement. She subsequently took cefadroxil with no improvement. On physical examination, erythematous papules, vesicles, and erosions with an annular crusted border were present on the nose and cheeks. The patient denied any oral, mucosal, or genital lesions. The patient had no systemic symptoms.

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For NSCLC, neoadjuvant, adjuvant, or both?

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This transcript has been edited for clarity.

Dr. West: Here at ASCO 2023 [American Society of Clinical Oncology] in Chicago, we’ve seen some blockbuster presentations in thoracic oncology. Many of these have brought up some important questions about the clinical implications that we need to discuss further.

At ASCO, as well as in the couple or 3 months preceding ASCO, we’ve gotten more and more data on perioperative approaches. Of course, over the past couple of years, we’ve had some new options of postoperative immunotherapy for a year, say, after chemotherapy or possibly after chemotherapy.

We have also had very influential data, such as the CheckMate 816 trial that gave three cycles of chemotherapy with nivolumab vs. chemotherapy alone to patients with stage IB to IIIA disease, but largely, nearly two thirds, with IIIA disease. That showed a very clear improvement in the pathologic complete response (pCR) rate with nivolumab added to chemotherapy and also a highly significant improvement in event-free survival and a strong trend toward improved overall survival. This is FDA approved and has been increasingly adopted, I would say, maybe with some variability by geography and center, but really a good amount of enthusiasm.

Now, we have a bunch of trials that give chemotherapy with immunotherapy. We’ve got the AEGEAN trial with durvalumab. We have Neotorch with chemotherapy and toripalimab. At ASCO 2023, we had a highly prominent presentation of KEYNOTE-671, giving four cycles of chemotherapy with pembrolizumab vs. chemotherapy and placebo.

Then there’s the built-in postoperative component of a year of immunotherapy as well, in all these trials. The data for KEYNOTE-671 look quite good. Of course, the other trials also were significant. I would say the comparator now is not nothing or chemotherapy alone anymore; it’s really against what is the best current standard of care.

The real question is, if we were happy to do chemoimmunotherapy neoadjuvant with chemotherapy/nivolumab, do we want or need to add the year of immunotherapy? It certainly adds some cost, it adds some risk for toxicity, and it adds a year of a patient coming into the clinic and getting IV infusions all this time to get a treatment that the patient has already had for four cycles in most of these trials.

If your cancer is resistant, is there going to be an incremental benefit to giving more of it? What are your thoughts about the risk and benefit? Going to a patient in your own clinic, how are you going to counsel your patients? Will anything change after the presentation of all these data and how you approach preoperatively?

Dr. Rotow: I agree. In some sense, it’s an embarrassment of riches, right?

Dr. West: Yes.

Dr. Rotow: We have so many positive studies looking at perioperative immunotherapy for our patients. They all show improved outcomes, but of course, they all compare with the old control arm of chemotherapy alone in some form, and this is no longer a useful control in this space. The open question is, do you use neoadjuvant, do you use adjuvant, or do you use both?

My high-level takeaway from these data is that the neoadjuvant component appears to be important. I think the overall trend, comparing across studies, of course, is that outcomes seem to be better with the neoadjuvant component. You also get the advantage of potential downstaging and potential greater ease of surgical resection. We know they have lower morbidity resection and shorter surgeries. You can comment on that. You also get your pathologic response data.

Dr. West: You get the feedback.

Dr. Rotow: Exactly.

Dr. West: The deliverability is also a big issue. You know you can much more reliably deliver your intended treatment by doing neoadjuvant followed by surgery.

Dr. Rotow: Exactly.

Dr. West: We know there’s major drop-off if patients have surgery, and in the recovery room they hear you got it all, and then they need to come back and maybe get chemotherapy and immunotherapy for a year. They’d ask, “What for? I can’t see anything.”

Dr. Rotow: Exactly. I think there are many advantages to that neoadjuvant component. I think all or many of us now have integrated this into our routine practice. Now the question is, do you need the adjuvant element or not on top? That is challenging because no trial has compared adjuvant to nonadjuvant. I think we all advocate for the need for this trial to answer this in a more randomized, prospective fashion. Of course, that doesn’t help our clinic practice tomorrow when we see a patient.

Dr. West: Or for the next 4 years.

Dr. Rotow: Or for the next 4 years – exactly. There’s going to be the open question of who really needs this? In some sense, we may be guided by the path response during the surgery itself. I think there may be those who claim that if you have a pCR, do you really need additional therapy? We don’t know the answer, but it’s tempting to say we know the outcomes in event-free survival are extremely good with a pCR.

Dr. West: Which is only 20% or 25% of patients, so it’s not most.

Dr. Rotow: It’s not most, but it’s better than the 2% or so with chemotherapy alone. That’s real progress, and it’s nice to have that readout. For that 80% without a pCR, what to do? I suspect there will be variation from provider to provider and from patient to patient, depending on tolerability to prior therapy, the patient’s wishes around the goals of care, and the patient’s risk for autoimmune toxicities.

Maybe there’s a patient with underlying autoimmune disease who’s gotten their neoadjuvant therapy and done well. You don’t want to risk that ongoing risk of exposure. Perhaps a patient with no risk factors who desires very aggressive treatment might be interested in more treatment.

In KEYNOTE-671, I was interested in the PD-L1 subgroups. These did trend the way you expect, with better responses in PD-L1 high, but there were also good outcomes and benefit to immunotherapy with the perioperative strategy in PD-L1–negative patients.

Dr. West: That didn’t really exclude anybody.

Dr. Rotow: It didn’t exclude anybody. In CheckMate 816, everyone benefited, but the benefit was less with those PD-L1–negative patients.

Dr. West: True.

Dr. Rotow: Absent further data to guide me or any prospective data here comparing these strategies, I might lean toward a longer course of immunotherapy in that population in hopes of triggering a response. I suspect that there will be variation from clinician to clinician in that space.

Dr. West: This is a setting where I feel like I have equipoise. I really feel that the incremental benefit is pretty small.

Dr. Rotow: Small. I agree.

Dr. West: It’s, frankly, somewhat dubious. On the other hand, you’re in a situation where if you know that three of four patients will experience a relapse and less-than-amazing outcomes, it’s hard to leave something that’s FDA approved and studied and a well-sanctioned option on the table if this patient may have relapse later.

In the end, I feel like I’d like to offer this and discuss it with all my patients. I think it’s a great place for shared decision-making because if a patient hears about that and decides they’re not interested, I’ll be fine with that. I think that’s a very sensible approach, but I don’t want to make it unilaterally. Other patients may say they want every opportunity, and if it comes back, at least I’ll know I did everything we could.

Dr. Rotow: Exactly. I agree with your statement about equipoise. I truly think that this is present here in the situation, and that there’s room for discussion in both directions with patients.

Now, one caveat I’d like to add to all these data is that the data should not apply to patients with some of our classic nonsmoking-associated driver mutations. This is another piece to the neoadjuvant data that I think is worth commenting on – the need to get appropriate testing before initiation of therapy and the pitfalls of starting this kind of treatment without knowing full biomarker testing. I think that’s something we have to watch for in our clinical practice as well.

Dr. West: Perhaps especially if we’re talking about doing a year of postoperative and someone has an ALK rearrangement or an EGFR mutation and we didn’t know it. That is a group where we’re worried about a rapid transition and potentially prohibitive, even life-threatening, toxicities from not planning in advance for this. This is something you don’t want to give concurrently or one right on top of the other. You don’t want to give immunotherapy and then transition right to targeted therapy. It’s dangerous.

Dr. Rotow: Exactly. The stakes were already high with neoadjuvant alone, but at least you had that gap of the presurgical period, surgical recovery, and then initiation of adjuvant therapy, if needed, or at relapse. With a postoperative long adjuvant period, those stakes are elevated because the immunotherapy exposure continues, so it’s something to be mindful of.

Dr. West: We have a general sense that many, but not all, of the targets that we’re talking about are associated with low benefit from immunotherapy. It’s not that well studied. I think this is another place for individualized discussion of the pros and cons. They were included in the trial, but they probably benefit less.

Dr. Rotow: Exactly. I think with the best established, EGFR and ALK probably are not benefiting much. They were actually included in the trial. Many of the neoadjuvant studies do not allow them to enroll if they’re known. On the other end of that spectrum, I think KRAS is just fine to treat with immunotherapy.

Dr. West: Sure.

Dr. Rotow: It’s an actionable driver. It’s not a traditional nonsmoking-associated driver, and those do just fine.

Dr. West: The studies show that these patients benefit just as much, at least, as the other patients.

Dr. Rotow: Exactly. I would never withhold this form of therapy for a KRAS driver mutation. The others, I think, are still in a gray zone. Depending on the patient demographics and tobacco use, I may elicit more or less caution in that space.

Dr. West: Well, I think we’re going to have much to still tease apart, with room for judgment here without a strong sense of the data telling us exactly what to do.

Dr. Rotow: Exactly.

Dr. West: There’s a large amount of excitement and interest in these new data, but there are still many open questions. I hope we continue to mull it over as we get more data and more insight to shape our plans.

Dr. West is an associate professor at City of Hope Comprehensive Cancer Center in Duarte, Calif., and vice president of network strategy at AccessHope in Los Angeles. Dr. Rotow is the clinical director of the Lowe Center for Thoracic Oncology at the Dana-Farber Cancer Institute in Boston. Dr. West reported conflicts of interest with Ariad/Takeda, Bristol Myers Squibb, Boehringer Ingelheim, Spectrum, AstraZeneca, Celgene, Genentech/Roche, Pfizer, Merck, and Eli Lilly. Dr. Rotow reported conflicts of interest with Genentech, AstraZeneca,Guardant, and Janssen.

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

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This transcript has been edited for clarity.

Dr. West: Here at ASCO 2023 [American Society of Clinical Oncology] in Chicago, we’ve seen some blockbuster presentations in thoracic oncology. Many of these have brought up some important questions about the clinical implications that we need to discuss further.

At ASCO, as well as in the couple or 3 months preceding ASCO, we’ve gotten more and more data on perioperative approaches. Of course, over the past couple of years, we’ve had some new options of postoperative immunotherapy for a year, say, after chemotherapy or possibly after chemotherapy.

We have also had very influential data, such as the CheckMate 816 trial that gave three cycles of chemotherapy with nivolumab vs. chemotherapy alone to patients with stage IB to IIIA disease, but largely, nearly two thirds, with IIIA disease. That showed a very clear improvement in the pathologic complete response (pCR) rate with nivolumab added to chemotherapy and also a highly significant improvement in event-free survival and a strong trend toward improved overall survival. This is FDA approved and has been increasingly adopted, I would say, maybe with some variability by geography and center, but really a good amount of enthusiasm.

Now, we have a bunch of trials that give chemotherapy with immunotherapy. We’ve got the AEGEAN trial with durvalumab. We have Neotorch with chemotherapy and toripalimab. At ASCO 2023, we had a highly prominent presentation of KEYNOTE-671, giving four cycles of chemotherapy with pembrolizumab vs. chemotherapy and placebo.

Then there’s the built-in postoperative component of a year of immunotherapy as well, in all these trials. The data for KEYNOTE-671 look quite good. Of course, the other trials also were significant. I would say the comparator now is not nothing or chemotherapy alone anymore; it’s really against what is the best current standard of care.

The real question is, if we were happy to do chemoimmunotherapy neoadjuvant with chemotherapy/nivolumab, do we want or need to add the year of immunotherapy? It certainly adds some cost, it adds some risk for toxicity, and it adds a year of a patient coming into the clinic and getting IV infusions all this time to get a treatment that the patient has already had for four cycles in most of these trials.

If your cancer is resistant, is there going to be an incremental benefit to giving more of it? What are your thoughts about the risk and benefit? Going to a patient in your own clinic, how are you going to counsel your patients? Will anything change after the presentation of all these data and how you approach preoperatively?

Dr. Rotow: I agree. In some sense, it’s an embarrassment of riches, right?

Dr. West: Yes.

Dr. Rotow: We have so many positive studies looking at perioperative immunotherapy for our patients. They all show improved outcomes, but of course, they all compare with the old control arm of chemotherapy alone in some form, and this is no longer a useful control in this space. The open question is, do you use neoadjuvant, do you use adjuvant, or do you use both?

My high-level takeaway from these data is that the neoadjuvant component appears to be important. I think the overall trend, comparing across studies, of course, is that outcomes seem to be better with the neoadjuvant component. You also get the advantage of potential downstaging and potential greater ease of surgical resection. We know they have lower morbidity resection and shorter surgeries. You can comment on that. You also get your pathologic response data.

Dr. West: You get the feedback.

Dr. Rotow: Exactly.

Dr. West: The deliverability is also a big issue. You know you can much more reliably deliver your intended treatment by doing neoadjuvant followed by surgery.

Dr. Rotow: Exactly.

Dr. West: We know there’s major drop-off if patients have surgery, and in the recovery room they hear you got it all, and then they need to come back and maybe get chemotherapy and immunotherapy for a year. They’d ask, “What for? I can’t see anything.”

Dr. Rotow: Exactly. I think there are many advantages to that neoadjuvant component. I think all or many of us now have integrated this into our routine practice. Now the question is, do you need the adjuvant element or not on top? That is challenging because no trial has compared adjuvant to nonadjuvant. I think we all advocate for the need for this trial to answer this in a more randomized, prospective fashion. Of course, that doesn’t help our clinic practice tomorrow when we see a patient.

Dr. West: Or for the next 4 years.

Dr. Rotow: Or for the next 4 years – exactly. There’s going to be the open question of who really needs this? In some sense, we may be guided by the path response during the surgery itself. I think there may be those who claim that if you have a pCR, do you really need additional therapy? We don’t know the answer, but it’s tempting to say we know the outcomes in event-free survival are extremely good with a pCR.

Dr. West: Which is only 20% or 25% of patients, so it’s not most.

Dr. Rotow: It’s not most, but it’s better than the 2% or so with chemotherapy alone. That’s real progress, and it’s nice to have that readout. For that 80% without a pCR, what to do? I suspect there will be variation from provider to provider and from patient to patient, depending on tolerability to prior therapy, the patient’s wishes around the goals of care, and the patient’s risk for autoimmune toxicities.

Maybe there’s a patient with underlying autoimmune disease who’s gotten their neoadjuvant therapy and done well. You don’t want to risk that ongoing risk of exposure. Perhaps a patient with no risk factors who desires very aggressive treatment might be interested in more treatment.

In KEYNOTE-671, I was interested in the PD-L1 subgroups. These did trend the way you expect, with better responses in PD-L1 high, but there were also good outcomes and benefit to immunotherapy with the perioperative strategy in PD-L1–negative patients.

Dr. West: That didn’t really exclude anybody.

Dr. Rotow: It didn’t exclude anybody. In CheckMate 816, everyone benefited, but the benefit was less with those PD-L1–negative patients.

Dr. West: True.

Dr. Rotow: Absent further data to guide me or any prospective data here comparing these strategies, I might lean toward a longer course of immunotherapy in that population in hopes of triggering a response. I suspect that there will be variation from clinician to clinician in that space.

Dr. West: This is a setting where I feel like I have equipoise. I really feel that the incremental benefit is pretty small.

Dr. Rotow: Small. I agree.

Dr. West: It’s, frankly, somewhat dubious. On the other hand, you’re in a situation where if you know that three of four patients will experience a relapse and less-than-amazing outcomes, it’s hard to leave something that’s FDA approved and studied and a well-sanctioned option on the table if this patient may have relapse later.

In the end, I feel like I’d like to offer this and discuss it with all my patients. I think it’s a great place for shared decision-making because if a patient hears about that and decides they’re not interested, I’ll be fine with that. I think that’s a very sensible approach, but I don’t want to make it unilaterally. Other patients may say they want every opportunity, and if it comes back, at least I’ll know I did everything we could.

Dr. Rotow: Exactly. I agree with your statement about equipoise. I truly think that this is present here in the situation, and that there’s room for discussion in both directions with patients.

Now, one caveat I’d like to add to all these data is that the data should not apply to patients with some of our classic nonsmoking-associated driver mutations. This is another piece to the neoadjuvant data that I think is worth commenting on – the need to get appropriate testing before initiation of therapy and the pitfalls of starting this kind of treatment without knowing full biomarker testing. I think that’s something we have to watch for in our clinical practice as well.

Dr. West: Perhaps especially if we’re talking about doing a year of postoperative and someone has an ALK rearrangement or an EGFR mutation and we didn’t know it. That is a group where we’re worried about a rapid transition and potentially prohibitive, even life-threatening, toxicities from not planning in advance for this. This is something you don’t want to give concurrently or one right on top of the other. You don’t want to give immunotherapy and then transition right to targeted therapy. It’s dangerous.

Dr. Rotow: Exactly. The stakes were already high with neoadjuvant alone, but at least you had that gap of the presurgical period, surgical recovery, and then initiation of adjuvant therapy, if needed, or at relapse. With a postoperative long adjuvant period, those stakes are elevated because the immunotherapy exposure continues, so it’s something to be mindful of.

Dr. West: We have a general sense that many, but not all, of the targets that we’re talking about are associated with low benefit from immunotherapy. It’s not that well studied. I think this is another place for individualized discussion of the pros and cons. They were included in the trial, but they probably benefit less.

Dr. Rotow: Exactly. I think with the best established, EGFR and ALK probably are not benefiting much. They were actually included in the trial. Many of the neoadjuvant studies do not allow them to enroll if they’re known. On the other end of that spectrum, I think KRAS is just fine to treat with immunotherapy.

Dr. West: Sure.

Dr. Rotow: It’s an actionable driver. It’s not a traditional nonsmoking-associated driver, and those do just fine.

Dr. West: The studies show that these patients benefit just as much, at least, as the other patients.

Dr. Rotow: Exactly. I would never withhold this form of therapy for a KRAS driver mutation. The others, I think, are still in a gray zone. Depending on the patient demographics and tobacco use, I may elicit more or less caution in that space.

Dr. West: Well, I think we’re going to have much to still tease apart, with room for judgment here without a strong sense of the data telling us exactly what to do.

Dr. Rotow: Exactly.

Dr. West: There’s a large amount of excitement and interest in these new data, but there are still many open questions. I hope we continue to mull it over as we get more data and more insight to shape our plans.

Dr. West is an associate professor at City of Hope Comprehensive Cancer Center in Duarte, Calif., and vice president of network strategy at AccessHope in Los Angeles. Dr. Rotow is the clinical director of the Lowe Center for Thoracic Oncology at the Dana-Farber Cancer Institute in Boston. Dr. West reported conflicts of interest with Ariad/Takeda, Bristol Myers Squibb, Boehringer Ingelheim, Spectrum, AstraZeneca, Celgene, Genentech/Roche, Pfizer, Merck, and Eli Lilly. Dr. Rotow reported conflicts of interest with Genentech, AstraZeneca,Guardant, and Janssen.

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

 

This transcript has been edited for clarity.

Dr. West: Here at ASCO 2023 [American Society of Clinical Oncology] in Chicago, we’ve seen some blockbuster presentations in thoracic oncology. Many of these have brought up some important questions about the clinical implications that we need to discuss further.

At ASCO, as well as in the couple or 3 months preceding ASCO, we’ve gotten more and more data on perioperative approaches. Of course, over the past couple of years, we’ve had some new options of postoperative immunotherapy for a year, say, after chemotherapy or possibly after chemotherapy.

We have also had very influential data, such as the CheckMate 816 trial that gave three cycles of chemotherapy with nivolumab vs. chemotherapy alone to patients with stage IB to IIIA disease, but largely, nearly two thirds, with IIIA disease. That showed a very clear improvement in the pathologic complete response (pCR) rate with nivolumab added to chemotherapy and also a highly significant improvement in event-free survival and a strong trend toward improved overall survival. This is FDA approved and has been increasingly adopted, I would say, maybe with some variability by geography and center, but really a good amount of enthusiasm.

Now, we have a bunch of trials that give chemotherapy with immunotherapy. We’ve got the AEGEAN trial with durvalumab. We have Neotorch with chemotherapy and toripalimab. At ASCO 2023, we had a highly prominent presentation of KEYNOTE-671, giving four cycles of chemotherapy with pembrolizumab vs. chemotherapy and placebo.

Then there’s the built-in postoperative component of a year of immunotherapy as well, in all these trials. The data for KEYNOTE-671 look quite good. Of course, the other trials also were significant. I would say the comparator now is not nothing or chemotherapy alone anymore; it’s really against what is the best current standard of care.

The real question is, if we were happy to do chemoimmunotherapy neoadjuvant with chemotherapy/nivolumab, do we want or need to add the year of immunotherapy? It certainly adds some cost, it adds some risk for toxicity, and it adds a year of a patient coming into the clinic and getting IV infusions all this time to get a treatment that the patient has already had for four cycles in most of these trials.

If your cancer is resistant, is there going to be an incremental benefit to giving more of it? What are your thoughts about the risk and benefit? Going to a patient in your own clinic, how are you going to counsel your patients? Will anything change after the presentation of all these data and how you approach preoperatively?

Dr. Rotow: I agree. In some sense, it’s an embarrassment of riches, right?

Dr. West: Yes.

Dr. Rotow: We have so many positive studies looking at perioperative immunotherapy for our patients. They all show improved outcomes, but of course, they all compare with the old control arm of chemotherapy alone in some form, and this is no longer a useful control in this space. The open question is, do you use neoadjuvant, do you use adjuvant, or do you use both?

My high-level takeaway from these data is that the neoadjuvant component appears to be important. I think the overall trend, comparing across studies, of course, is that outcomes seem to be better with the neoadjuvant component. You also get the advantage of potential downstaging and potential greater ease of surgical resection. We know they have lower morbidity resection and shorter surgeries. You can comment on that. You also get your pathologic response data.

Dr. West: You get the feedback.

Dr. Rotow: Exactly.

Dr. West: The deliverability is also a big issue. You know you can much more reliably deliver your intended treatment by doing neoadjuvant followed by surgery.

Dr. Rotow: Exactly.

Dr. West: We know there’s major drop-off if patients have surgery, and in the recovery room they hear you got it all, and then they need to come back and maybe get chemotherapy and immunotherapy for a year. They’d ask, “What for? I can’t see anything.”

Dr. Rotow: Exactly. I think there are many advantages to that neoadjuvant component. I think all or many of us now have integrated this into our routine practice. Now the question is, do you need the adjuvant element or not on top? That is challenging because no trial has compared adjuvant to nonadjuvant. I think we all advocate for the need for this trial to answer this in a more randomized, prospective fashion. Of course, that doesn’t help our clinic practice tomorrow when we see a patient.

Dr. West: Or for the next 4 years.

Dr. Rotow: Or for the next 4 years – exactly. There’s going to be the open question of who really needs this? In some sense, we may be guided by the path response during the surgery itself. I think there may be those who claim that if you have a pCR, do you really need additional therapy? We don’t know the answer, but it’s tempting to say we know the outcomes in event-free survival are extremely good with a pCR.

Dr. West: Which is only 20% or 25% of patients, so it’s not most.

Dr. Rotow: It’s not most, but it’s better than the 2% or so with chemotherapy alone. That’s real progress, and it’s nice to have that readout. For that 80% without a pCR, what to do? I suspect there will be variation from provider to provider and from patient to patient, depending on tolerability to prior therapy, the patient’s wishes around the goals of care, and the patient’s risk for autoimmune toxicities.

Maybe there’s a patient with underlying autoimmune disease who’s gotten their neoadjuvant therapy and done well. You don’t want to risk that ongoing risk of exposure. Perhaps a patient with no risk factors who desires very aggressive treatment might be interested in more treatment.

In KEYNOTE-671, I was interested in the PD-L1 subgroups. These did trend the way you expect, with better responses in PD-L1 high, but there were also good outcomes and benefit to immunotherapy with the perioperative strategy in PD-L1–negative patients.

Dr. West: That didn’t really exclude anybody.

Dr. Rotow: It didn’t exclude anybody. In CheckMate 816, everyone benefited, but the benefit was less with those PD-L1–negative patients.

Dr. West: True.

Dr. Rotow: Absent further data to guide me or any prospective data here comparing these strategies, I might lean toward a longer course of immunotherapy in that population in hopes of triggering a response. I suspect that there will be variation from clinician to clinician in that space.

Dr. West: This is a setting where I feel like I have equipoise. I really feel that the incremental benefit is pretty small.

Dr. Rotow: Small. I agree.

Dr. West: It’s, frankly, somewhat dubious. On the other hand, you’re in a situation where if you know that three of four patients will experience a relapse and less-than-amazing outcomes, it’s hard to leave something that’s FDA approved and studied and a well-sanctioned option on the table if this patient may have relapse later.

In the end, I feel like I’d like to offer this and discuss it with all my patients. I think it’s a great place for shared decision-making because if a patient hears about that and decides they’re not interested, I’ll be fine with that. I think that’s a very sensible approach, but I don’t want to make it unilaterally. Other patients may say they want every opportunity, and if it comes back, at least I’ll know I did everything we could.

Dr. Rotow: Exactly. I agree with your statement about equipoise. I truly think that this is present here in the situation, and that there’s room for discussion in both directions with patients.

Now, one caveat I’d like to add to all these data is that the data should not apply to patients with some of our classic nonsmoking-associated driver mutations. This is another piece to the neoadjuvant data that I think is worth commenting on – the need to get appropriate testing before initiation of therapy and the pitfalls of starting this kind of treatment without knowing full biomarker testing. I think that’s something we have to watch for in our clinical practice as well.

Dr. West: Perhaps especially if we’re talking about doing a year of postoperative and someone has an ALK rearrangement or an EGFR mutation and we didn’t know it. That is a group where we’re worried about a rapid transition and potentially prohibitive, even life-threatening, toxicities from not planning in advance for this. This is something you don’t want to give concurrently or one right on top of the other. You don’t want to give immunotherapy and then transition right to targeted therapy. It’s dangerous.

Dr. Rotow: Exactly. The stakes were already high with neoadjuvant alone, but at least you had that gap of the presurgical period, surgical recovery, and then initiation of adjuvant therapy, if needed, or at relapse. With a postoperative long adjuvant period, those stakes are elevated because the immunotherapy exposure continues, so it’s something to be mindful of.

Dr. West: We have a general sense that many, but not all, of the targets that we’re talking about are associated with low benefit from immunotherapy. It’s not that well studied. I think this is another place for individualized discussion of the pros and cons. They were included in the trial, but they probably benefit less.

Dr. Rotow: Exactly. I think with the best established, EGFR and ALK probably are not benefiting much. They were actually included in the trial. Many of the neoadjuvant studies do not allow them to enroll if they’re known. On the other end of that spectrum, I think KRAS is just fine to treat with immunotherapy.

Dr. West: Sure.

Dr. Rotow: It’s an actionable driver. It’s not a traditional nonsmoking-associated driver, and those do just fine.

Dr. West: The studies show that these patients benefit just as much, at least, as the other patients.

Dr. Rotow: Exactly. I would never withhold this form of therapy for a KRAS driver mutation. The others, I think, are still in a gray zone. Depending on the patient demographics and tobacco use, I may elicit more or less caution in that space.

Dr. West: Well, I think we’re going to have much to still tease apart, with room for judgment here without a strong sense of the data telling us exactly what to do.

Dr. Rotow: Exactly.

Dr. West: There’s a large amount of excitement and interest in these new data, but there are still many open questions. I hope we continue to mull it over as we get more data and more insight to shape our plans.

Dr. West is an associate professor at City of Hope Comprehensive Cancer Center in Duarte, Calif., and vice president of network strategy at AccessHope in Los Angeles. Dr. Rotow is the clinical director of the Lowe Center for Thoracic Oncology at the Dana-Farber Cancer Institute in Boston. Dr. West reported conflicts of interest with Ariad/Takeda, Bristol Myers Squibb, Boehringer Ingelheim, Spectrum, AstraZeneca, Celgene, Genentech/Roche, Pfizer, Merck, and Eli Lilly. Dr. Rotow reported conflicts of interest with Genentech, AstraZeneca,Guardant, and Janssen.

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

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Prior auth is a self-inflicted wound; is there a way out?

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Mon, 08/07/2023 - 11:45

A few months ago, a close friend called me in a panic.

Her mother had been on an oral treatment for relapsed multiple myeloma for nearly 1 year. Originally, she had been prescribed the oral pill pomalidomide as part of her regimen, but it had caused cytopenias, constipation, and nausea even at lower doses. Now, she was tolerating her new pill, ixazomib, quite well.

Then, without so much as a letter from her insurance company, the patient’s pharmacy called to tell her that ixazomib was no longer covered without a peer-to-peer conversation given its cost.

The peer to peer left the oncology team and patient even more frustrated. After leaving the team on hold for nearly an hour, the insurance company denied the request for ixazomib. The hematologist conducting the peer-to-peer did not seem to understand why the patient had discontinued her previous medication.

Ultimately, the patient was forced to return to the old, less expensive drug. Since going back to pomalidomide, she has needed multiple dosing changes to manage the intense drug side effects.

I wish that stories like this were uncommon. I am often reminded of the ongoing challenges related to prior authorization when I see colleagues regaling the Twitterverse with their latest horror stories about an insurance company rejecting standard of care treatment or imaging. The data confirm the frequency of these experiences. Among a general cohort of physicians, the American Medical Association has reported that most practices complete 29 prior authorizations per physician every week and spend on average 14.6 hours, or nearly 2 full business days, of staff time each week on these requirements.

Given the growing burden of prior authorization, reform has now become a major policy issue at the federal and state level. Within the past year, organizations like the American Society of Clinical Oncology have released policy positions on prior authorization and are devoting sizable advocacy dollars to fight payers’ ability to enact it. Entire sections of the ASCO education book are devoted to detailing the negative effects of prior authorization, and recent ASCO-commissioned surveys have highlighted alarming statistics about how prior authorization harms patient care.

As a practicing oncologist, I welcome increased attention to the burdens of prior authorization. This attention shows that our professional organizations care about one of the largest contributors to burnout.

But as a researcher who studies systems of care, I worry that focusing our collective ire on health insurance companies is somewhat misplaced or unlikely to succeed.

Why? Because policy statements, Tweets, and legislation ignore the fact that prior authorization is a self-inflicted wound caused by decades of pharmaceutical companies, health systems, oncologists, and guideline bodies failing to factor costs of care into clinical practice.

Making cost-conscious oncology care a priority would be ideal, but it is also a tall order. That leaves health insurers as the main roadblock to otherwise unconstrained health care costs. And prior authorization is what results.

But, as costs continue to rise uncontrollably, the prior authorization system has ballooned out of control and reining in this system will be quite a challenge. Perhaps, we can look to my oncology practice at a Veterans Affairs Medical Center as a guide.
 

 

 

A self-inflicted wound

In oncology, most medications and imaging are subject to prior authorization, particularly higher-cost items, and dealing with prior authorization typically requires an army of staff. As enrollment in commercial health plans or Medicare Advantage skyrockets, prior authorization will only become more prevalent in oncology.

Why is this happening?

The lazy answer to this question is because health insurance companies put profits over patients.

However, prior authorization is a symptom, not a disease. And that symptom is exploding cancer care costs. The causes of high costs are varied: Pharmaceutical companies and device manufacturers set ungodly prices for drugs; oncologists and other specialists are often reimbursed for volume of care, not quality; and hospitals and health systems charge incredible amounts for routine labs and imaging, amounts that are orders of magnitude higher than what these services actually cost.

There is no easy solution to fix the drivers of such costs. One approach to rein in drug costs would be to allow Medicare to negotiate drug prices and set site-neutral pricing.

Another would be to incentivize doctors or health systems to reduce the use of high-cost services. But physicians are often unaware of the costs of a given treatment to a system or patient, and practices reimbursed by volume of care typically have little incentive to curb overall spending.

We are then left with payers, the primary means of reimbursing care and, specifically, utilization management, such as prior authorization and restrictive formularies, as the major mechanism to reduce this spending.
 

Prior authorization is broken

Here’s the rub though: Although payers are incentivized to curb costs through prior authorization, the data that they have to adjudicate therapeutic appropriateness are often terrible.

Administrative claims contain no data on biomarkers or performance status and are notoriously bad at reflecting basic information, such as a patient’s stage of cancer. For instance, the positive predictive value of claims-based algorithms to identify stage IV breast cancer is well below 50%, meaning that a claims algorithm that classifies a patient as stage IV is wrong more often than right.

If payers had better data, they could be more selective in their prior-authorization requirements. In other words, if payers could reliably identify who has metastatic breast cancer, an aromatase inhibitor, a common, well-accepted adjuvant therapy in hormone-positive, late-stage breast cancer, wouldn’t need prior authorization. What we have now is an inefficient system that sets prior authorization as a guardrail for most oncology care and then forces doctors to submit all relevant information about a patient to justify their treatment choices.

Keeping up with oncology treatment advances is also a challenge and requires tremendous expertise. Many insurers delegate their prior-authorization responsibilities to medication management companies, such as Magellan Rx or New Century Health, who maintain proprietary treatment pathways.

These companies anchor their prior authorization requirements to common guidelines. That would be fine if guideline-producing bodies like the National Comprehensive Cancer Network provided more firm recommendations on high-value treatments.

The NCCN recommendations, however, are expert-driven more than evidence or value driven. Often, therapies with less evidence make it into recommended treatment guidelines, and in some cases, the NCCN will equally recommend five options for treating a certain cancer, even when there is an obvious lower-cost option.

The effect of this, however, is that payers may then cover these five options, despite a 40-fold price difference among them, but then lean on requiring prior authorization for everything rather than being selective. Broad rather than targeted use of prior authorization alongside well-known issue like uncertain time lines, huge numbers of forms, and nonexperts doing peer to peers make for a huge mess.
 

 

 

What can we do?

How can we begin to solve the prior authorization crisis? A first step would be for guideline bodies to have more teeth in their recommendations. If NCCN and other guideline bodies, for instance, incorporated cost into their recommendations and designated these as “preferred” regimens, then clinicians could have better direction on therapy selection and payers could align their prior authorization policies with those recommendations. If patients had adverse effects with low-cost drugs, then a preferred alternative could be specified in such guidelines rather than subject patients, like my friend’s mother, to a toxic drug.

Second, payers could tailor the intensity of prior authorization requirements to the type of physician and clinical scenario at hand. Payers have rich data on practice patterns of oncologists. Payers should incentivize oncologists who follow guideline-based, high-value treatment pathways by lowering the need for frequent peer-to-peers or other prior authorization for “good performers.” This strategy, often termed gold carding, would use relief from prior authorization as a carrot.

Similarly, payers could reward practices that implement clinical pathways that enforce high-value care. For example, a practice could develop a treatment pathway that emphasizes access to urgent care to avoid hospitalizations as well as prioritizes access to relatively lower cost but equally effective options for therapy. If a payer reviewed and approved the pathway, perhaps payers could propose relief of future prior authorizations for practices whose oncologist practice on this pathway.

Third, payers could step up the intensity of prior authorization for certain high-cost or low-value treatments and lessen requirements for more routine services. For example, if every initial staging PET-CT required a peer to peer, oncologists would spend most of the day on the phone. Rather, lower-level tasks such as imaging may require a simple electronic EHR message, whereas high-cost items such as indefinite systemic therapy may require more frequent peer to peers.

Fourth, health systems and real-world data companies should devise better data sharing partnerships with payers so that payers could automatically examine attributes that clarify the choice of therapy. For example, if a payer could view that a patient had estrogen receptor/progesterone receptor–positive early-stage breast cancer post surgery, perhaps that payer would not require a prior authorization for an aromatase inhibitor. These real-time data sharing partnerships could reduce friction points in the system.

Finally, researchers and other groups should partner with payers to continually examine the effectiveness of any prior-authorization program. If a prior-authorization policy is no longer effective because evidence changes and evolves, then payers should consider retiring it.

In my primary oncology practice at a VA Medical Center, none of my treatments require an external prior authorization. Why? Because our local practice agreed to an established formulary, and national treatment pathways firmly specify a recommended treatment course.

Do I sometimes go off pathway? Yes, when I feel there’s a compelling reason. But that requires a structured electronic form to a central pharmacy body. I get a response within 24 hours, with no onerous prior authorization form or lengthy peer to peer.

Though there are plenty of unique qualities about the VA, the fact is that health systems and guideline bodies assuming the burden of cost containment could reduce prior-authorization requirements from payers.

Ultimately, the goal should be for oncologists to choose the highest-value treatment possible. Perhaps then, when the end-goal of cost-conscious oncology care with payers maintain an arm’s length from the patient-doctor relationship, we could all stop shouting at the wind about the burden of prior authorization.

Dr. Parikh is a medical oncologist and faculty member at the University of Pennsylvania, Philadelphia, and the Philadelphia VA Medical Center, an adjunct fellow at the Leonard Davis Institute of Health Economics, and senior clinical advisor at the Coalition to Transform Advanced Care. He reported conflicts of interest with GNS Healthcare, Nanology, Cancer Study Group, Embedded Healthcare, Veterans Affairs, PCF, National Palliative Care Research Center, MUSC, and Flatiron Health.
 

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

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A few months ago, a close friend called me in a panic.

Her mother had been on an oral treatment for relapsed multiple myeloma for nearly 1 year. Originally, she had been prescribed the oral pill pomalidomide as part of her regimen, but it had caused cytopenias, constipation, and nausea even at lower doses. Now, she was tolerating her new pill, ixazomib, quite well.

Then, without so much as a letter from her insurance company, the patient’s pharmacy called to tell her that ixazomib was no longer covered without a peer-to-peer conversation given its cost.

The peer to peer left the oncology team and patient even more frustrated. After leaving the team on hold for nearly an hour, the insurance company denied the request for ixazomib. The hematologist conducting the peer-to-peer did not seem to understand why the patient had discontinued her previous medication.

Ultimately, the patient was forced to return to the old, less expensive drug. Since going back to pomalidomide, she has needed multiple dosing changes to manage the intense drug side effects.

I wish that stories like this were uncommon. I am often reminded of the ongoing challenges related to prior authorization when I see colleagues regaling the Twitterverse with their latest horror stories about an insurance company rejecting standard of care treatment or imaging. The data confirm the frequency of these experiences. Among a general cohort of physicians, the American Medical Association has reported that most practices complete 29 prior authorizations per physician every week and spend on average 14.6 hours, or nearly 2 full business days, of staff time each week on these requirements.

Given the growing burden of prior authorization, reform has now become a major policy issue at the federal and state level. Within the past year, organizations like the American Society of Clinical Oncology have released policy positions on prior authorization and are devoting sizable advocacy dollars to fight payers’ ability to enact it. Entire sections of the ASCO education book are devoted to detailing the negative effects of prior authorization, and recent ASCO-commissioned surveys have highlighted alarming statistics about how prior authorization harms patient care.

As a practicing oncologist, I welcome increased attention to the burdens of prior authorization. This attention shows that our professional organizations care about one of the largest contributors to burnout.

But as a researcher who studies systems of care, I worry that focusing our collective ire on health insurance companies is somewhat misplaced or unlikely to succeed.

Why? Because policy statements, Tweets, and legislation ignore the fact that prior authorization is a self-inflicted wound caused by decades of pharmaceutical companies, health systems, oncologists, and guideline bodies failing to factor costs of care into clinical practice.

Making cost-conscious oncology care a priority would be ideal, but it is also a tall order. That leaves health insurers as the main roadblock to otherwise unconstrained health care costs. And prior authorization is what results.

But, as costs continue to rise uncontrollably, the prior authorization system has ballooned out of control and reining in this system will be quite a challenge. Perhaps, we can look to my oncology practice at a Veterans Affairs Medical Center as a guide.
 

 

 

A self-inflicted wound

In oncology, most medications and imaging are subject to prior authorization, particularly higher-cost items, and dealing with prior authorization typically requires an army of staff. As enrollment in commercial health plans or Medicare Advantage skyrockets, prior authorization will only become more prevalent in oncology.

Why is this happening?

The lazy answer to this question is because health insurance companies put profits over patients.

However, prior authorization is a symptom, not a disease. And that symptom is exploding cancer care costs. The causes of high costs are varied: Pharmaceutical companies and device manufacturers set ungodly prices for drugs; oncologists and other specialists are often reimbursed for volume of care, not quality; and hospitals and health systems charge incredible amounts for routine labs and imaging, amounts that are orders of magnitude higher than what these services actually cost.

There is no easy solution to fix the drivers of such costs. One approach to rein in drug costs would be to allow Medicare to negotiate drug prices and set site-neutral pricing.

Another would be to incentivize doctors or health systems to reduce the use of high-cost services. But physicians are often unaware of the costs of a given treatment to a system or patient, and practices reimbursed by volume of care typically have little incentive to curb overall spending.

We are then left with payers, the primary means of reimbursing care and, specifically, utilization management, such as prior authorization and restrictive formularies, as the major mechanism to reduce this spending.
 

Prior authorization is broken

Here’s the rub though: Although payers are incentivized to curb costs through prior authorization, the data that they have to adjudicate therapeutic appropriateness are often terrible.

Administrative claims contain no data on biomarkers or performance status and are notoriously bad at reflecting basic information, such as a patient’s stage of cancer. For instance, the positive predictive value of claims-based algorithms to identify stage IV breast cancer is well below 50%, meaning that a claims algorithm that classifies a patient as stage IV is wrong more often than right.

If payers had better data, they could be more selective in their prior-authorization requirements. In other words, if payers could reliably identify who has metastatic breast cancer, an aromatase inhibitor, a common, well-accepted adjuvant therapy in hormone-positive, late-stage breast cancer, wouldn’t need prior authorization. What we have now is an inefficient system that sets prior authorization as a guardrail for most oncology care and then forces doctors to submit all relevant information about a patient to justify their treatment choices.

Keeping up with oncology treatment advances is also a challenge and requires tremendous expertise. Many insurers delegate their prior-authorization responsibilities to medication management companies, such as Magellan Rx or New Century Health, who maintain proprietary treatment pathways.

These companies anchor their prior authorization requirements to common guidelines. That would be fine if guideline-producing bodies like the National Comprehensive Cancer Network provided more firm recommendations on high-value treatments.

The NCCN recommendations, however, are expert-driven more than evidence or value driven. Often, therapies with less evidence make it into recommended treatment guidelines, and in some cases, the NCCN will equally recommend five options for treating a certain cancer, even when there is an obvious lower-cost option.

The effect of this, however, is that payers may then cover these five options, despite a 40-fold price difference among them, but then lean on requiring prior authorization for everything rather than being selective. Broad rather than targeted use of prior authorization alongside well-known issue like uncertain time lines, huge numbers of forms, and nonexperts doing peer to peers make for a huge mess.
 

 

 

What can we do?

How can we begin to solve the prior authorization crisis? A first step would be for guideline bodies to have more teeth in their recommendations. If NCCN and other guideline bodies, for instance, incorporated cost into their recommendations and designated these as “preferred” regimens, then clinicians could have better direction on therapy selection and payers could align their prior authorization policies with those recommendations. If patients had adverse effects with low-cost drugs, then a preferred alternative could be specified in such guidelines rather than subject patients, like my friend’s mother, to a toxic drug.

Second, payers could tailor the intensity of prior authorization requirements to the type of physician and clinical scenario at hand. Payers have rich data on practice patterns of oncologists. Payers should incentivize oncologists who follow guideline-based, high-value treatment pathways by lowering the need for frequent peer-to-peers or other prior authorization for “good performers.” This strategy, often termed gold carding, would use relief from prior authorization as a carrot.

Similarly, payers could reward practices that implement clinical pathways that enforce high-value care. For example, a practice could develop a treatment pathway that emphasizes access to urgent care to avoid hospitalizations as well as prioritizes access to relatively lower cost but equally effective options for therapy. If a payer reviewed and approved the pathway, perhaps payers could propose relief of future prior authorizations for practices whose oncologist practice on this pathway.

Third, payers could step up the intensity of prior authorization for certain high-cost or low-value treatments and lessen requirements for more routine services. For example, if every initial staging PET-CT required a peer to peer, oncologists would spend most of the day on the phone. Rather, lower-level tasks such as imaging may require a simple electronic EHR message, whereas high-cost items such as indefinite systemic therapy may require more frequent peer to peers.

Fourth, health systems and real-world data companies should devise better data sharing partnerships with payers so that payers could automatically examine attributes that clarify the choice of therapy. For example, if a payer could view that a patient had estrogen receptor/progesterone receptor–positive early-stage breast cancer post surgery, perhaps that payer would not require a prior authorization for an aromatase inhibitor. These real-time data sharing partnerships could reduce friction points in the system.

Finally, researchers and other groups should partner with payers to continually examine the effectiveness of any prior-authorization program. If a prior-authorization policy is no longer effective because evidence changes and evolves, then payers should consider retiring it.

In my primary oncology practice at a VA Medical Center, none of my treatments require an external prior authorization. Why? Because our local practice agreed to an established formulary, and national treatment pathways firmly specify a recommended treatment course.

Do I sometimes go off pathway? Yes, when I feel there’s a compelling reason. But that requires a structured electronic form to a central pharmacy body. I get a response within 24 hours, with no onerous prior authorization form or lengthy peer to peer.

Though there are plenty of unique qualities about the VA, the fact is that health systems and guideline bodies assuming the burden of cost containment could reduce prior-authorization requirements from payers.

Ultimately, the goal should be for oncologists to choose the highest-value treatment possible. Perhaps then, when the end-goal of cost-conscious oncology care with payers maintain an arm’s length from the patient-doctor relationship, we could all stop shouting at the wind about the burden of prior authorization.

Dr. Parikh is a medical oncologist and faculty member at the University of Pennsylvania, Philadelphia, and the Philadelphia VA Medical Center, an adjunct fellow at the Leonard Davis Institute of Health Economics, and senior clinical advisor at the Coalition to Transform Advanced Care. He reported conflicts of interest with GNS Healthcare, Nanology, Cancer Study Group, Embedded Healthcare, Veterans Affairs, PCF, National Palliative Care Research Center, MUSC, and Flatiron Health.
 

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

A few months ago, a close friend called me in a panic.

Her mother had been on an oral treatment for relapsed multiple myeloma for nearly 1 year. Originally, she had been prescribed the oral pill pomalidomide as part of her regimen, but it had caused cytopenias, constipation, and nausea even at lower doses. Now, she was tolerating her new pill, ixazomib, quite well.

Then, without so much as a letter from her insurance company, the patient’s pharmacy called to tell her that ixazomib was no longer covered without a peer-to-peer conversation given its cost.

The peer to peer left the oncology team and patient even more frustrated. After leaving the team on hold for nearly an hour, the insurance company denied the request for ixazomib. The hematologist conducting the peer-to-peer did not seem to understand why the patient had discontinued her previous medication.

Ultimately, the patient was forced to return to the old, less expensive drug. Since going back to pomalidomide, she has needed multiple dosing changes to manage the intense drug side effects.

I wish that stories like this were uncommon. I am often reminded of the ongoing challenges related to prior authorization when I see colleagues regaling the Twitterverse with their latest horror stories about an insurance company rejecting standard of care treatment or imaging. The data confirm the frequency of these experiences. Among a general cohort of physicians, the American Medical Association has reported that most practices complete 29 prior authorizations per physician every week and spend on average 14.6 hours, or nearly 2 full business days, of staff time each week on these requirements.

Given the growing burden of prior authorization, reform has now become a major policy issue at the federal and state level. Within the past year, organizations like the American Society of Clinical Oncology have released policy positions on prior authorization and are devoting sizable advocacy dollars to fight payers’ ability to enact it. Entire sections of the ASCO education book are devoted to detailing the negative effects of prior authorization, and recent ASCO-commissioned surveys have highlighted alarming statistics about how prior authorization harms patient care.

As a practicing oncologist, I welcome increased attention to the burdens of prior authorization. This attention shows that our professional organizations care about one of the largest contributors to burnout.

But as a researcher who studies systems of care, I worry that focusing our collective ire on health insurance companies is somewhat misplaced or unlikely to succeed.

Why? Because policy statements, Tweets, and legislation ignore the fact that prior authorization is a self-inflicted wound caused by decades of pharmaceutical companies, health systems, oncologists, and guideline bodies failing to factor costs of care into clinical practice.

Making cost-conscious oncology care a priority would be ideal, but it is also a tall order. That leaves health insurers as the main roadblock to otherwise unconstrained health care costs. And prior authorization is what results.

But, as costs continue to rise uncontrollably, the prior authorization system has ballooned out of control and reining in this system will be quite a challenge. Perhaps, we can look to my oncology practice at a Veterans Affairs Medical Center as a guide.
 

 

 

A self-inflicted wound

In oncology, most medications and imaging are subject to prior authorization, particularly higher-cost items, and dealing with prior authorization typically requires an army of staff. As enrollment in commercial health plans or Medicare Advantage skyrockets, prior authorization will only become more prevalent in oncology.

Why is this happening?

The lazy answer to this question is because health insurance companies put profits over patients.

However, prior authorization is a symptom, not a disease. And that symptom is exploding cancer care costs. The causes of high costs are varied: Pharmaceutical companies and device manufacturers set ungodly prices for drugs; oncologists and other specialists are often reimbursed for volume of care, not quality; and hospitals and health systems charge incredible amounts for routine labs and imaging, amounts that are orders of magnitude higher than what these services actually cost.

There is no easy solution to fix the drivers of such costs. One approach to rein in drug costs would be to allow Medicare to negotiate drug prices and set site-neutral pricing.

Another would be to incentivize doctors or health systems to reduce the use of high-cost services. But physicians are often unaware of the costs of a given treatment to a system or patient, and practices reimbursed by volume of care typically have little incentive to curb overall spending.

We are then left with payers, the primary means of reimbursing care and, specifically, utilization management, such as prior authorization and restrictive formularies, as the major mechanism to reduce this spending.
 

Prior authorization is broken

Here’s the rub though: Although payers are incentivized to curb costs through prior authorization, the data that they have to adjudicate therapeutic appropriateness are often terrible.

Administrative claims contain no data on biomarkers or performance status and are notoriously bad at reflecting basic information, such as a patient’s stage of cancer. For instance, the positive predictive value of claims-based algorithms to identify stage IV breast cancer is well below 50%, meaning that a claims algorithm that classifies a patient as stage IV is wrong more often than right.

If payers had better data, they could be more selective in their prior-authorization requirements. In other words, if payers could reliably identify who has metastatic breast cancer, an aromatase inhibitor, a common, well-accepted adjuvant therapy in hormone-positive, late-stage breast cancer, wouldn’t need prior authorization. What we have now is an inefficient system that sets prior authorization as a guardrail for most oncology care and then forces doctors to submit all relevant information about a patient to justify their treatment choices.

Keeping up with oncology treatment advances is also a challenge and requires tremendous expertise. Many insurers delegate their prior-authorization responsibilities to medication management companies, such as Magellan Rx or New Century Health, who maintain proprietary treatment pathways.

These companies anchor their prior authorization requirements to common guidelines. That would be fine if guideline-producing bodies like the National Comprehensive Cancer Network provided more firm recommendations on high-value treatments.

The NCCN recommendations, however, are expert-driven more than evidence or value driven. Often, therapies with less evidence make it into recommended treatment guidelines, and in some cases, the NCCN will equally recommend five options for treating a certain cancer, even when there is an obvious lower-cost option.

The effect of this, however, is that payers may then cover these five options, despite a 40-fold price difference among them, but then lean on requiring prior authorization for everything rather than being selective. Broad rather than targeted use of prior authorization alongside well-known issue like uncertain time lines, huge numbers of forms, and nonexperts doing peer to peers make for a huge mess.
 

 

 

What can we do?

How can we begin to solve the prior authorization crisis? A first step would be for guideline bodies to have more teeth in their recommendations. If NCCN and other guideline bodies, for instance, incorporated cost into their recommendations and designated these as “preferred” regimens, then clinicians could have better direction on therapy selection and payers could align their prior authorization policies with those recommendations. If patients had adverse effects with low-cost drugs, then a preferred alternative could be specified in such guidelines rather than subject patients, like my friend’s mother, to a toxic drug.

Second, payers could tailor the intensity of prior authorization requirements to the type of physician and clinical scenario at hand. Payers have rich data on practice patterns of oncologists. Payers should incentivize oncologists who follow guideline-based, high-value treatment pathways by lowering the need for frequent peer-to-peers or other prior authorization for “good performers.” This strategy, often termed gold carding, would use relief from prior authorization as a carrot.

Similarly, payers could reward practices that implement clinical pathways that enforce high-value care. For example, a practice could develop a treatment pathway that emphasizes access to urgent care to avoid hospitalizations as well as prioritizes access to relatively lower cost but equally effective options for therapy. If a payer reviewed and approved the pathway, perhaps payers could propose relief of future prior authorizations for practices whose oncologist practice on this pathway.

Third, payers could step up the intensity of prior authorization for certain high-cost or low-value treatments and lessen requirements for more routine services. For example, if every initial staging PET-CT required a peer to peer, oncologists would spend most of the day on the phone. Rather, lower-level tasks such as imaging may require a simple electronic EHR message, whereas high-cost items such as indefinite systemic therapy may require more frequent peer to peers.

Fourth, health systems and real-world data companies should devise better data sharing partnerships with payers so that payers could automatically examine attributes that clarify the choice of therapy. For example, if a payer could view that a patient had estrogen receptor/progesterone receptor–positive early-stage breast cancer post surgery, perhaps that payer would not require a prior authorization for an aromatase inhibitor. These real-time data sharing partnerships could reduce friction points in the system.

Finally, researchers and other groups should partner with payers to continually examine the effectiveness of any prior-authorization program. If a prior-authorization policy is no longer effective because evidence changes and evolves, then payers should consider retiring it.

In my primary oncology practice at a VA Medical Center, none of my treatments require an external prior authorization. Why? Because our local practice agreed to an established formulary, and national treatment pathways firmly specify a recommended treatment course.

Do I sometimes go off pathway? Yes, when I feel there’s a compelling reason. But that requires a structured electronic form to a central pharmacy body. I get a response within 24 hours, with no onerous prior authorization form or lengthy peer to peer.

Though there are plenty of unique qualities about the VA, the fact is that health systems and guideline bodies assuming the burden of cost containment could reduce prior-authorization requirements from payers.

Ultimately, the goal should be for oncologists to choose the highest-value treatment possible. Perhaps then, when the end-goal of cost-conscious oncology care with payers maintain an arm’s length from the patient-doctor relationship, we could all stop shouting at the wind about the burden of prior authorization.

Dr. Parikh is a medical oncologist and faculty member at the University of Pennsylvania, Philadelphia, and the Philadelphia VA Medical Center, an adjunct fellow at the Leonard Davis Institute of Health Economics, and senior clinical advisor at the Coalition to Transform Advanced Care. He reported conflicts of interest with GNS Healthcare, Nanology, Cancer Study Group, Embedded Healthcare, Veterans Affairs, PCF, National Palliative Care Research Center, MUSC, and Flatiron Health.
 

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

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PRISm and nonspecific pattern: New insights in lung testing interpretation

Article Type
Changed
Fri, 08/04/2023 - 15:07

The recent statement on interpretive strategies for lung testing uses the acronym PRISm for preserved ratio impaired spirometry. PRISm identifies patients with a normal forced expiratory volume in 1 second/forced vital capacity ratio but abnormal FEV1 and/or FVC (usually both). Most medical students are taught to call this a “restrictive pattern,” and every first-year pulmonary fellow orders full lung volumes when they see it. If total lung capacity (TLC) is normal, PRISm becomes the nonspecific pattern. If TLC is low, then the patient has “true” restriction, and if it’s elevated, then hyperinflation may be present.

The traditional classification scheme for basic spirometry interpretation (normal, restricted, obstructed, or mixed) is simple and conceptually clear. Because this simplicity is achieved at the expense of precision, the “restrictive pattern” label is due for retirement. It turns out that many with this pattern won’t have an abnormal TLC, so the name is, in some ways, a misnomer and can be misleading. Enter PRISm, a more descriptive and inclusive term. The phrase also lends itself to a phonetic acronym that is fun to say, easy to remember, and likely to catch on with learners.

Information on occurrence and clinical behavior comes from large cohorts with basic spirometry, but without full lung volumes because PRISm no longer applies once TLC is determined. As may be expected, prevalence varies by the population studiedEstimates for general populations have been in the 7%-12% range; however, one study examining a database of patients with clinical spirometry referrals found a prevalence of 22.3%. Rates may be far higher in low- and middle-income countries. Identified risk factors include sex, tobacco use, and body mass index; the presence of PRISm is associated with respiratory symptoms and mortality. Thus, PRISm is common and it matters.

Along with PRISm, the nonspecific pattern is a new addition, if not a new concept, to the 2022 interpretative strategies statement. As with PRISm, the title is necessarily broad, though far less imaginative. Defined by reductions in FEV1 and FVC and a normal TLC, the nonspecific pattern has classically been considered a marker of early airway disease. The idea is that early, heterogeneous closure of distal segments of the bronchial tree can reduce total volume during a forced expiration before affecting the FEV1/FVC. The fact that the TLC is not a forced maneuver means there is proportionately less effect from more collapsible/susceptible smaller units. More recent data suggest that there are additional causes.

Because the nonspecific pattern requires full lung volumes, we have less population-level data than for PRISm. Estimated prevalence is approximately 9.5% in patients with complete test results. The two most common causes are obesity and airway obstruction, and the pattern is relatively stable over time. Notably, an increase in specific airway resistance or TLC minus alveolar volume difference predicts progression to frank obstruction on spirometry.

The physiologic changes that obesity inflicts on the lung have been well described. Patients with obesity breathe at lower lung volumes and are therefore susceptible to small airway closure at rest and during forced expiration. There is no doubt that the increased recognition of PRISm and the nonspecific pattern is in part related to the worldwide rise in obesity rates.
 

Key takeaways

In summary, PRISm and the nonspecific pattern are now part of the classification scheme we use for spirometry and full lung volumes, respectively. They should be included in interpretations given their diagnostic and predictive value. Airway disease and obesity are common causes and often coexist with either pattern. Many will not have a true, restrictive lung deficit, and a reductionist approach to interpretation is likely to lead to erroneous diagnoses. There were many important updates included in the 2022 iteration on lung testing interpretation that should not fly under the radar.

Dr. Holley is professor of medicine at Uniformed Services University in Bethesda, Md., and a pulmonary/sleep and critical care medicine physician at MedStar Washington Hospital Center in Washington. He disclosed ties with CHEST College, Metapharm, and WebMD.

A version of this article appeared on Medscape.com.

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The recent statement on interpretive strategies for lung testing uses the acronym PRISm for preserved ratio impaired spirometry. PRISm identifies patients with a normal forced expiratory volume in 1 second/forced vital capacity ratio but abnormal FEV1 and/or FVC (usually both). Most medical students are taught to call this a “restrictive pattern,” and every first-year pulmonary fellow orders full lung volumes when they see it. If total lung capacity (TLC) is normal, PRISm becomes the nonspecific pattern. If TLC is low, then the patient has “true” restriction, and if it’s elevated, then hyperinflation may be present.

The traditional classification scheme for basic spirometry interpretation (normal, restricted, obstructed, or mixed) is simple and conceptually clear. Because this simplicity is achieved at the expense of precision, the “restrictive pattern” label is due for retirement. It turns out that many with this pattern won’t have an abnormal TLC, so the name is, in some ways, a misnomer and can be misleading. Enter PRISm, a more descriptive and inclusive term. The phrase also lends itself to a phonetic acronym that is fun to say, easy to remember, and likely to catch on with learners.

Information on occurrence and clinical behavior comes from large cohorts with basic spirometry, but without full lung volumes because PRISm no longer applies once TLC is determined. As may be expected, prevalence varies by the population studiedEstimates for general populations have been in the 7%-12% range; however, one study examining a database of patients with clinical spirometry referrals found a prevalence of 22.3%. Rates may be far higher in low- and middle-income countries. Identified risk factors include sex, tobacco use, and body mass index; the presence of PRISm is associated with respiratory symptoms and mortality. Thus, PRISm is common and it matters.

Along with PRISm, the nonspecific pattern is a new addition, if not a new concept, to the 2022 interpretative strategies statement. As with PRISm, the title is necessarily broad, though far less imaginative. Defined by reductions in FEV1 and FVC and a normal TLC, the nonspecific pattern has classically been considered a marker of early airway disease. The idea is that early, heterogeneous closure of distal segments of the bronchial tree can reduce total volume during a forced expiration before affecting the FEV1/FVC. The fact that the TLC is not a forced maneuver means there is proportionately less effect from more collapsible/susceptible smaller units. More recent data suggest that there are additional causes.

Because the nonspecific pattern requires full lung volumes, we have less population-level data than for PRISm. Estimated prevalence is approximately 9.5% in patients with complete test results. The two most common causes are obesity and airway obstruction, and the pattern is relatively stable over time. Notably, an increase in specific airway resistance or TLC minus alveolar volume difference predicts progression to frank obstruction on spirometry.

The physiologic changes that obesity inflicts on the lung have been well described. Patients with obesity breathe at lower lung volumes and are therefore susceptible to small airway closure at rest and during forced expiration. There is no doubt that the increased recognition of PRISm and the nonspecific pattern is in part related to the worldwide rise in obesity rates.
 

Key takeaways

In summary, PRISm and the nonspecific pattern are now part of the classification scheme we use for spirometry and full lung volumes, respectively. They should be included in interpretations given their diagnostic and predictive value. Airway disease and obesity are common causes and often coexist with either pattern. Many will not have a true, restrictive lung deficit, and a reductionist approach to interpretation is likely to lead to erroneous diagnoses. There were many important updates included in the 2022 iteration on lung testing interpretation that should not fly under the radar.

Dr. Holley is professor of medicine at Uniformed Services University in Bethesda, Md., and a pulmonary/sleep and critical care medicine physician at MedStar Washington Hospital Center in Washington. He disclosed ties with CHEST College, Metapharm, and WebMD.

A version of this article appeared on Medscape.com.

The recent statement on interpretive strategies for lung testing uses the acronym PRISm for preserved ratio impaired spirometry. PRISm identifies patients with a normal forced expiratory volume in 1 second/forced vital capacity ratio but abnormal FEV1 and/or FVC (usually both). Most medical students are taught to call this a “restrictive pattern,” and every first-year pulmonary fellow orders full lung volumes when they see it. If total lung capacity (TLC) is normal, PRISm becomes the nonspecific pattern. If TLC is low, then the patient has “true” restriction, and if it’s elevated, then hyperinflation may be present.

The traditional classification scheme for basic spirometry interpretation (normal, restricted, obstructed, or mixed) is simple and conceptually clear. Because this simplicity is achieved at the expense of precision, the “restrictive pattern” label is due for retirement. It turns out that many with this pattern won’t have an abnormal TLC, so the name is, in some ways, a misnomer and can be misleading. Enter PRISm, a more descriptive and inclusive term. The phrase also lends itself to a phonetic acronym that is fun to say, easy to remember, and likely to catch on with learners.

Information on occurrence and clinical behavior comes from large cohorts with basic spirometry, but without full lung volumes because PRISm no longer applies once TLC is determined. As may be expected, prevalence varies by the population studiedEstimates for general populations have been in the 7%-12% range; however, one study examining a database of patients with clinical spirometry referrals found a prevalence of 22.3%. Rates may be far higher in low- and middle-income countries. Identified risk factors include sex, tobacco use, and body mass index; the presence of PRISm is associated with respiratory symptoms and mortality. Thus, PRISm is common and it matters.

Along with PRISm, the nonspecific pattern is a new addition, if not a new concept, to the 2022 interpretative strategies statement. As with PRISm, the title is necessarily broad, though far less imaginative. Defined by reductions in FEV1 and FVC and a normal TLC, the nonspecific pattern has classically been considered a marker of early airway disease. The idea is that early, heterogeneous closure of distal segments of the bronchial tree can reduce total volume during a forced expiration before affecting the FEV1/FVC. The fact that the TLC is not a forced maneuver means there is proportionately less effect from more collapsible/susceptible smaller units. More recent data suggest that there are additional causes.

Because the nonspecific pattern requires full lung volumes, we have less population-level data than for PRISm. Estimated prevalence is approximately 9.5% in patients with complete test results. The two most common causes are obesity and airway obstruction, and the pattern is relatively stable over time. Notably, an increase in specific airway resistance or TLC minus alveolar volume difference predicts progression to frank obstruction on spirometry.

The physiologic changes that obesity inflicts on the lung have been well described. Patients with obesity breathe at lower lung volumes and are therefore susceptible to small airway closure at rest and during forced expiration. There is no doubt that the increased recognition of PRISm and the nonspecific pattern is in part related to the worldwide rise in obesity rates.
 

Key takeaways

In summary, PRISm and the nonspecific pattern are now part of the classification scheme we use for spirometry and full lung volumes, respectively. They should be included in interpretations given their diagnostic and predictive value. Airway disease and obesity are common causes and often coexist with either pattern. Many will not have a true, restrictive lung deficit, and a reductionist approach to interpretation is likely to lead to erroneous diagnoses. There were many important updates included in the 2022 iteration on lung testing interpretation that should not fly under the radar.

Dr. Holley is professor of medicine at Uniformed Services University in Bethesda, Md., and a pulmonary/sleep and critical care medicine physician at MedStar Washington Hospital Center in Washington. He disclosed ties with CHEST College, Metapharm, and WebMD.

A version of this article appeared on Medscape.com.

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Scrubs & Heels Summit 2023: Filling a void for women in GI

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Changed
Thu, 08/03/2023 - 17:04

Women constitute about half of medical students and internal medicine residents, however, less than 20% of practicing gastroenterologists are female.1-3 This gender disparity arises from a multitude of factors including lack of effective mentoring, unequal leadership and career advancement opportunities, and pay inequity. In this context, The Scrubs & Heels Leadership Summit (S&H) was launched in 2022 focused on the professional and personal development of women in gastroenterology. 

I had the great pleasure and honor of attending the 2023 summit which took place in February in Rancho Palos Verdes, Calif. There were nearly 200 attendees ranging from trainees to midcareer and senior gastroenterologists and other health care professionals from both academia and private practices across the nation. The weekend course was directed by S&H cofounders, Dr. Aline Charabaty and Dr. Anita Afzali, and cochaired by Dr. Amy Oxentenko and Dr. Aja McCutchen.

Dr. Noor Syed

The 2-day summit opened with a presentation by Sally Helgesen, author of How Women Rise, describing the 12 common habits that often hold women back in career advancement, promotion, or opportunities. Dr. Aline Charabaty addressed the myth of women needing to fulfill the role of superwoman or have suprahuman abilities. Attendees were challenged to reframe this societal construct and begin to find balance and the reasonable choice to switch to part-time work and, as Dr. Aja McCutch emphasized, dial-down responsibilities to maintain wellness when life has competing priorities.

Dr. Amy Oxentenko shared her personal journey to success and instilled the importance of engaging with community and society at large. We then heard from Dr. Neena Abraham on how to gracefully embrace transitions in our professional lives, whether intentionally sought or natural progressions of a career. She encouraged attendees to control our own narrative and seek challenges that promote growth. We explored different practice models with Dr. Caroline Hwang and learned strategies of switching from academics to private practice or vice versa. We also heard from cofounder Dr. Anita Afzali on becoming a physician executive and the importance of staying connected to patient care when rising in ranks of leadership. 

The second day opened with a keynote address delivered by Dr. Marla Dubinsky detailing her journey of becoming a CEO of a publicly-traded company while retaining her role as professor and chief of pediatric gastroenterology in a large academic institution. Attendees were provided with a master class on discovering ways to inspire our inner entrepreneur and highlighted the benefit of physicians, especially women, in being effective business leaders. This talk was followed by a talk by Phil Schoenfeld, MD, FACS, editor-in-chief of Evidence-Based GI for the American College of Gastroenterology. He spoke on the importance of male allyship for women in GI and shared his personal experiences and challenges with allyship. 

The summit included a breakout session by Dr. Rashmi Advani designed for residents to hear tips on how to have a successful fellowship match and for fellows to embrace a steep learning curve when starting and included tips for efficiency. Additional breakout sessions included learning ergonomic strategies for positioning and scope-holding, vocal-cord exercises before giving oral presentations, and how to formulate a business plan and negotiate a contract.

We ended the summit with uplifting advice from executive coaches Sonia Narang and Dr. Dawn Sears who taught us the art of leaning into opportunities, mansizing aspirations, finding coconspirators for amplification of female GI leaders, and supporting our colleagues personally and professionally. 
 

 

 

Three key takeaway messages:

  •  Recognize your self-worth and the contributions you bring to your patients and community as a whole.
  •  Lean into the importance of vocalizing your asks, advocating for yourself, building your brand, and showcasing your accomplishments.
  •  Be mindful of the balance between the time and energy you dedicate towards goals that bring you recognition and fuel your passion and your mental, physical, and emotional health.

As a trainee, I benefited tremendously from attending and expanding my professional network of mentors, sponsors and colleagues. I am encouraged by this programming and hope to see more of it in the future. 

Contributors to this article included: Rashmi Advani, MD2; Anita Afzali, MD3; Aline Charabaty, MD.4

Neither Dr. Syed, nor the article contributors, had financial conflicts of interest associated with this article. The AGA was represented at the Scrubs and Heels Summit as a society partner committed to the advancement of women in GI. AGA is building on years of efforts to bolster leadership, mentorship, and sponsorship among women in GI through its annual women’s leadership conference and most recently with its 2022 regional women in GI workshops held around the country that led to the development of a comprehensive gender equity strategy designed to build an environment of gender equity in the field of GI so that all can thrive.
 

Institutions and social media handle

1. Santa Clara Valley Medical Center (San Jose, Calif), @noorannemd

2. Cedars Sinai (Los Angeles), @AdvaniRashmiMD

3. University of Cincinnati, @IBD_Afzali

4. Johns Hopkins Medicine (Washington), @DCharabaty

References

Advani R et al. Gender-specific attitudes of internal medicine residents toward gastroenterology. Dig Dis Sci. 2022 Nov;67(11):5044-52.

American Association of Medical Colleges. Diversity in Medicine: Facts and Figures (2019).

Elta GH. The challenges of being a female gastroenterologist. Gastroenterol Clin North Am. 2011 Jun;40(2):441-7.

Burke CA et al. Gender disparity in the practice of gastroenterology: The first 5 years of a career. Am J Gastroenterol 2005;100:259-64

David, Yakira N. et al. Gender-specific factors influencing gastroenterologists to pursue careers in advanced endoscopy: perceptions vs reality. Journal of the American College of Gastroenterology, ACG 116.3 (2021):539-50.

Rabinowitz LG et al. Gender dynamics in education and practice of gastroenterology. Gastrointest Endosc. 2021;93:1047-56.

Rabinowitz LG et al. Survey finds gender disparities impact both women mentors and mentees in gastroenterology. Journal of the American College of Gastroenterology, ACG 2021;116:1876-84.

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Women constitute about half of medical students and internal medicine residents, however, less than 20% of practicing gastroenterologists are female.1-3 This gender disparity arises from a multitude of factors including lack of effective mentoring, unequal leadership and career advancement opportunities, and pay inequity. In this context, The Scrubs & Heels Leadership Summit (S&H) was launched in 2022 focused on the professional and personal development of women in gastroenterology. 

I had the great pleasure and honor of attending the 2023 summit which took place in February in Rancho Palos Verdes, Calif. There were nearly 200 attendees ranging from trainees to midcareer and senior gastroenterologists and other health care professionals from both academia and private practices across the nation. The weekend course was directed by S&H cofounders, Dr. Aline Charabaty and Dr. Anita Afzali, and cochaired by Dr. Amy Oxentenko and Dr. Aja McCutchen.

Dr. Noor Syed

The 2-day summit opened with a presentation by Sally Helgesen, author of How Women Rise, describing the 12 common habits that often hold women back in career advancement, promotion, or opportunities. Dr. Aline Charabaty addressed the myth of women needing to fulfill the role of superwoman or have suprahuman abilities. Attendees were challenged to reframe this societal construct and begin to find balance and the reasonable choice to switch to part-time work and, as Dr. Aja McCutch emphasized, dial-down responsibilities to maintain wellness when life has competing priorities.

Dr. Amy Oxentenko shared her personal journey to success and instilled the importance of engaging with community and society at large. We then heard from Dr. Neena Abraham on how to gracefully embrace transitions in our professional lives, whether intentionally sought or natural progressions of a career. She encouraged attendees to control our own narrative and seek challenges that promote growth. We explored different practice models with Dr. Caroline Hwang and learned strategies of switching from academics to private practice or vice versa. We also heard from cofounder Dr. Anita Afzali on becoming a physician executive and the importance of staying connected to patient care when rising in ranks of leadership. 

The second day opened with a keynote address delivered by Dr. Marla Dubinsky detailing her journey of becoming a CEO of a publicly-traded company while retaining her role as professor and chief of pediatric gastroenterology in a large academic institution. Attendees were provided with a master class on discovering ways to inspire our inner entrepreneur and highlighted the benefit of physicians, especially women, in being effective business leaders. This talk was followed by a talk by Phil Schoenfeld, MD, FACS, editor-in-chief of Evidence-Based GI for the American College of Gastroenterology. He spoke on the importance of male allyship for women in GI and shared his personal experiences and challenges with allyship. 

The summit included a breakout session by Dr. Rashmi Advani designed for residents to hear tips on how to have a successful fellowship match and for fellows to embrace a steep learning curve when starting and included tips for efficiency. Additional breakout sessions included learning ergonomic strategies for positioning and scope-holding, vocal-cord exercises before giving oral presentations, and how to formulate a business plan and negotiate a contract.

We ended the summit with uplifting advice from executive coaches Sonia Narang and Dr. Dawn Sears who taught us the art of leaning into opportunities, mansizing aspirations, finding coconspirators for amplification of female GI leaders, and supporting our colleagues personally and professionally. 
 

 

 

Three key takeaway messages:

  •  Recognize your self-worth and the contributions you bring to your patients and community as a whole.
  •  Lean into the importance of vocalizing your asks, advocating for yourself, building your brand, and showcasing your accomplishments.
  •  Be mindful of the balance between the time and energy you dedicate towards goals that bring you recognition and fuel your passion and your mental, physical, and emotional health.

As a trainee, I benefited tremendously from attending and expanding my professional network of mentors, sponsors and colleagues. I am encouraged by this programming and hope to see more of it in the future. 

Contributors to this article included: Rashmi Advani, MD2; Anita Afzali, MD3; Aline Charabaty, MD.4

Neither Dr. Syed, nor the article contributors, had financial conflicts of interest associated with this article. The AGA was represented at the Scrubs and Heels Summit as a society partner committed to the advancement of women in GI. AGA is building on years of efforts to bolster leadership, mentorship, and sponsorship among women in GI through its annual women’s leadership conference and most recently with its 2022 regional women in GI workshops held around the country that led to the development of a comprehensive gender equity strategy designed to build an environment of gender equity in the field of GI so that all can thrive.
 

Institutions and social media handle

1. Santa Clara Valley Medical Center (San Jose, Calif), @noorannemd

2. Cedars Sinai (Los Angeles), @AdvaniRashmiMD

3. University of Cincinnati, @IBD_Afzali

4. Johns Hopkins Medicine (Washington), @DCharabaty

References

Advani R et al. Gender-specific attitudes of internal medicine residents toward gastroenterology. Dig Dis Sci. 2022 Nov;67(11):5044-52.

American Association of Medical Colleges. Diversity in Medicine: Facts and Figures (2019).

Elta GH. The challenges of being a female gastroenterologist. Gastroenterol Clin North Am. 2011 Jun;40(2):441-7.

Burke CA et al. Gender disparity in the practice of gastroenterology: The first 5 years of a career. Am J Gastroenterol 2005;100:259-64

David, Yakira N. et al. Gender-specific factors influencing gastroenterologists to pursue careers in advanced endoscopy: perceptions vs reality. Journal of the American College of Gastroenterology, ACG 116.3 (2021):539-50.

Rabinowitz LG et al. Gender dynamics in education and practice of gastroenterology. Gastrointest Endosc. 2021;93:1047-56.

Rabinowitz LG et al. Survey finds gender disparities impact both women mentors and mentees in gastroenterology. Journal of the American College of Gastroenterology, ACG 2021;116:1876-84.

Women constitute about half of medical students and internal medicine residents, however, less than 20% of practicing gastroenterologists are female.1-3 This gender disparity arises from a multitude of factors including lack of effective mentoring, unequal leadership and career advancement opportunities, and pay inequity. In this context, The Scrubs & Heels Leadership Summit (S&H) was launched in 2022 focused on the professional and personal development of women in gastroenterology. 

I had the great pleasure and honor of attending the 2023 summit which took place in February in Rancho Palos Verdes, Calif. There were nearly 200 attendees ranging from trainees to midcareer and senior gastroenterologists and other health care professionals from both academia and private practices across the nation. The weekend course was directed by S&H cofounders, Dr. Aline Charabaty and Dr. Anita Afzali, and cochaired by Dr. Amy Oxentenko and Dr. Aja McCutchen.

Dr. Noor Syed

The 2-day summit opened with a presentation by Sally Helgesen, author of How Women Rise, describing the 12 common habits that often hold women back in career advancement, promotion, or opportunities. Dr. Aline Charabaty addressed the myth of women needing to fulfill the role of superwoman or have suprahuman abilities. Attendees were challenged to reframe this societal construct and begin to find balance and the reasonable choice to switch to part-time work and, as Dr. Aja McCutch emphasized, dial-down responsibilities to maintain wellness when life has competing priorities.

Dr. Amy Oxentenko shared her personal journey to success and instilled the importance of engaging with community and society at large. We then heard from Dr. Neena Abraham on how to gracefully embrace transitions in our professional lives, whether intentionally sought or natural progressions of a career. She encouraged attendees to control our own narrative and seek challenges that promote growth. We explored different practice models with Dr. Caroline Hwang and learned strategies of switching from academics to private practice or vice versa. We also heard from cofounder Dr. Anita Afzali on becoming a physician executive and the importance of staying connected to patient care when rising in ranks of leadership. 

The second day opened with a keynote address delivered by Dr. Marla Dubinsky detailing her journey of becoming a CEO of a publicly-traded company while retaining her role as professor and chief of pediatric gastroenterology in a large academic institution. Attendees were provided with a master class on discovering ways to inspire our inner entrepreneur and highlighted the benefit of physicians, especially women, in being effective business leaders. This talk was followed by a talk by Phil Schoenfeld, MD, FACS, editor-in-chief of Evidence-Based GI for the American College of Gastroenterology. He spoke on the importance of male allyship for women in GI and shared his personal experiences and challenges with allyship. 

The summit included a breakout session by Dr. Rashmi Advani designed for residents to hear tips on how to have a successful fellowship match and for fellows to embrace a steep learning curve when starting and included tips for efficiency. Additional breakout sessions included learning ergonomic strategies for positioning and scope-holding, vocal-cord exercises before giving oral presentations, and how to formulate a business plan and negotiate a contract.

We ended the summit with uplifting advice from executive coaches Sonia Narang and Dr. Dawn Sears who taught us the art of leaning into opportunities, mansizing aspirations, finding coconspirators for amplification of female GI leaders, and supporting our colleagues personally and professionally. 
 

 

 

Three key takeaway messages:

  •  Recognize your self-worth and the contributions you bring to your patients and community as a whole.
  •  Lean into the importance of vocalizing your asks, advocating for yourself, building your brand, and showcasing your accomplishments.
  •  Be mindful of the balance between the time and energy you dedicate towards goals that bring you recognition and fuel your passion and your mental, physical, and emotional health.

As a trainee, I benefited tremendously from attending and expanding my professional network of mentors, sponsors and colleagues. I am encouraged by this programming and hope to see more of it in the future. 

Contributors to this article included: Rashmi Advani, MD2; Anita Afzali, MD3; Aline Charabaty, MD.4

Neither Dr. Syed, nor the article contributors, had financial conflicts of interest associated with this article. The AGA was represented at the Scrubs and Heels Summit as a society partner committed to the advancement of women in GI. AGA is building on years of efforts to bolster leadership, mentorship, and sponsorship among women in GI through its annual women’s leadership conference and most recently with its 2022 regional women in GI workshops held around the country that led to the development of a comprehensive gender equity strategy designed to build an environment of gender equity in the field of GI so that all can thrive.
 

Institutions and social media handle

1. Santa Clara Valley Medical Center (San Jose, Calif), @noorannemd

2. Cedars Sinai (Los Angeles), @AdvaniRashmiMD

3. University of Cincinnati, @IBD_Afzali

4. Johns Hopkins Medicine (Washington), @DCharabaty

References

Advani R et al. Gender-specific attitudes of internal medicine residents toward gastroenterology. Dig Dis Sci. 2022 Nov;67(11):5044-52.

American Association of Medical Colleges. Diversity in Medicine: Facts and Figures (2019).

Elta GH. The challenges of being a female gastroenterologist. Gastroenterol Clin North Am. 2011 Jun;40(2):441-7.

Burke CA et al. Gender disparity in the practice of gastroenterology: The first 5 years of a career. Am J Gastroenterol 2005;100:259-64

David, Yakira N. et al. Gender-specific factors influencing gastroenterologists to pursue careers in advanced endoscopy: perceptions vs reality. Journal of the American College of Gastroenterology, ACG 116.3 (2021):539-50.

Rabinowitz LG et al. Gender dynamics in education and practice of gastroenterology. Gastrointest Endosc. 2021;93:1047-56.

Rabinowitz LG et al. Survey finds gender disparities impact both women mentors and mentees in gastroenterology. Journal of the American College of Gastroenterology, ACG 2021;116:1876-84.

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A new and completely different pain medicine

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Mon, 08/14/2023 - 14:46

This transcript has been edited for clarity.

When you stub your toe or get a paper cut on your finger, you feel the pain in that part of your body. It feels like the pain is coming from that place. But, of course, that’s not really what is happening. Pain doesn’t really happen in your toe or your finger. It happens in your brain.

It’s a game of telephone, really. The afferent nerve fiber detects the noxious stimulus, passing that signal to the second-order neuron in the dorsal root ganglia of the spinal cord, which runs it up to the thalamus to be passed to the third-order neuron which brings it to the cortex for localization and conscious perception. It’s not even a very good game of telephone. It takes about 100 ms for a pain signal to get from the hand to the brain – longer from the feet, given the greater distance. You see your foot hit the corner of the coffee table and have just enough time to think: “Oh no!” before the pain hits.

Wikimedia Commons


Given the Rube Goldberg nature of the process, it would seem like there are any number of places we could stop pain sensation. And sure, local anesthetics at the site of injury, or even spinal anesthetics, are powerful – if temporary and hard to administer – solutions to acute pain.

But in our everyday armamentarium, let’s be honest – we essentially have three options: opiates and opioids, which activate the mu-receptors in the brain to dull pain (and cause a host of other nasty side effects); NSAIDs, which block prostaglandin synthesis and thus limit the ability for pain-conducting neurons to get excited; and acetaminophen, which, despite being used for a century, is poorly understood.

Dr. F. Perry Wilson


But now, we enter the prologue of what might be the next big story in pain control. Let’s talk about VX-548.

If you were to zoom in on the connection between that first afferent pain fiber and the secondary nerve in the spinal cord dorsal root ganglion, you would see a receptor called Nav1.8, a voltage-gated sodium channel.

This receptor is a key part of the apparatus that passes information from nerve 1 to nerve 2, but only for fibers that transmit pain signals. In fact, humans with mutations in this receptor that leave it always in the “open” state have a severe pain syndrome. Blocking the receptor, therefore, might reduce pain.

In preclinical work, researchers identified VX-548, which doesn’t have a brand name yet, as a potent blocker of that channel even in nanomolar concentrations. Importantly, the compound was highly selective for that particular channel – about 30,000 times more selective than it was for the other sodium channels in that family.

Of course, a highly selective and specific drug does not a blockbuster analgesic make. To determine how this drug would work on humans in pain, they turned to two populations: 303 individuals undergoing abdominoplasty and 274 undergoing bunionectomy, as reported in a new paper in the New England Journal of Medicine.

I know this seems a bit random, but abdominoplasty is quite painful and a good model for soft-tissue pain. Bunionectomy is also quite a painful procedure and a useful model of bone pain. After the surgeries, patients were randomized to several different doses of VX-548, hydrocodone plus acetaminophen, or placebo for 48 hours.

At 19 time points over that 48-hour period, participants were asked to rate their pain on a scale from 0 to 10. The primary outcome was the cumulative pain experienced over the 48 hours. So, higher pain would be worse here, but longer duration of pain would also be worse.

The story of the study is really told in this chart.

The New England Journal of Medicine


Yes, those assigned to the highest dose of VX-548 had a statistically significant lower cumulative amount of pain in the 48 hours after surgery. But the picture is really worth more than the stats here. You can see that the onset of pain relief was fairly quick, and that pain relief was sustained over time. You can also see that this is not a miracle drug. Pain scores were a bit better 48 hours out, but only by about a point and a half.

Placebo isn’t really the fair comparison here; few of us treat our postabdominoplasty patients with placebo, after all. The authors do not formally compare the effect of VX-548 with that of the opioid hydrocodone, for instance. But that doesn’t stop us.

This graph, which I put together from data in the paper, shows pain control across the four randomization categories, with higher numbers indicating more (cumulative) control. While all the active agents do a bit better than placebo, VX-548 at the higher dose appears to do the best. But I should note that 5 mg of hydrocodone may not be an adequate dose for most people.

Dr. F. Perry Wilson


Yes, I would really have killed for an NSAID arm in this trial. Its absence, given that NSAIDs are a staple of postoperative care, is ... well, let’s just say, notable.

Although not a pain-destroying machine, VX-548 has some other things to recommend it. The receptor is really not found in the brain at all, which suggests that the drug should not carry much risk for dependency, though that has not been formally studied.

The side effects were generally mild – headache was the most common – and less prevalent than what you see even in the placebo arm.

The New England Journal of Medicine


Perhaps most notable is the fact that the rate of discontinuation of the study drug was lowest in the VX-548 arm. Patients could stop taking the pill they were assigned for any reason, ranging from perceived lack of efficacy to side effects. A low discontinuation rate indicates to me a sort of “voting with your feet” that suggests this might be a well-tolerated and reasonably effective drug.

VX-548 isn’t on the market yet; phase 3 trials are ongoing. But whether it is this particular drug or another in this class, I’m happy to see researchers trying to find new ways to target that most primeval form of suffering: pain.

Dr. Wilson is an associate professor of medicine and public health and director of Yale’s Clinical and Translational Research Accelerator, New Haven, Conn. He disclosed no relevant financial relationships.

A version of this article appeared on Medscape.com.

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This transcript has been edited for clarity.

When you stub your toe or get a paper cut on your finger, you feel the pain in that part of your body. It feels like the pain is coming from that place. But, of course, that’s not really what is happening. Pain doesn’t really happen in your toe or your finger. It happens in your brain.

It’s a game of telephone, really. The afferent nerve fiber detects the noxious stimulus, passing that signal to the second-order neuron in the dorsal root ganglia of the spinal cord, which runs it up to the thalamus to be passed to the third-order neuron which brings it to the cortex for localization and conscious perception. It’s not even a very good game of telephone. It takes about 100 ms for a pain signal to get from the hand to the brain – longer from the feet, given the greater distance. You see your foot hit the corner of the coffee table and have just enough time to think: “Oh no!” before the pain hits.

Wikimedia Commons


Given the Rube Goldberg nature of the process, it would seem like there are any number of places we could stop pain sensation. And sure, local anesthetics at the site of injury, or even spinal anesthetics, are powerful – if temporary and hard to administer – solutions to acute pain.

But in our everyday armamentarium, let’s be honest – we essentially have three options: opiates and opioids, which activate the mu-receptors in the brain to dull pain (and cause a host of other nasty side effects); NSAIDs, which block prostaglandin synthesis and thus limit the ability for pain-conducting neurons to get excited; and acetaminophen, which, despite being used for a century, is poorly understood.

Dr. F. Perry Wilson


But now, we enter the prologue of what might be the next big story in pain control. Let’s talk about VX-548.

If you were to zoom in on the connection between that first afferent pain fiber and the secondary nerve in the spinal cord dorsal root ganglion, you would see a receptor called Nav1.8, a voltage-gated sodium channel.

This receptor is a key part of the apparatus that passes information from nerve 1 to nerve 2, but only for fibers that transmit pain signals. In fact, humans with mutations in this receptor that leave it always in the “open” state have a severe pain syndrome. Blocking the receptor, therefore, might reduce pain.

In preclinical work, researchers identified VX-548, which doesn’t have a brand name yet, as a potent blocker of that channel even in nanomolar concentrations. Importantly, the compound was highly selective for that particular channel – about 30,000 times more selective than it was for the other sodium channels in that family.

Of course, a highly selective and specific drug does not a blockbuster analgesic make. To determine how this drug would work on humans in pain, they turned to two populations: 303 individuals undergoing abdominoplasty and 274 undergoing bunionectomy, as reported in a new paper in the New England Journal of Medicine.

I know this seems a bit random, but abdominoplasty is quite painful and a good model for soft-tissue pain. Bunionectomy is also quite a painful procedure and a useful model of bone pain. After the surgeries, patients were randomized to several different doses of VX-548, hydrocodone plus acetaminophen, or placebo for 48 hours.

At 19 time points over that 48-hour period, participants were asked to rate their pain on a scale from 0 to 10. The primary outcome was the cumulative pain experienced over the 48 hours. So, higher pain would be worse here, but longer duration of pain would also be worse.

The story of the study is really told in this chart.

The New England Journal of Medicine


Yes, those assigned to the highest dose of VX-548 had a statistically significant lower cumulative amount of pain in the 48 hours after surgery. But the picture is really worth more than the stats here. You can see that the onset of pain relief was fairly quick, and that pain relief was sustained over time. You can also see that this is not a miracle drug. Pain scores were a bit better 48 hours out, but only by about a point and a half.

Placebo isn’t really the fair comparison here; few of us treat our postabdominoplasty patients with placebo, after all. The authors do not formally compare the effect of VX-548 with that of the opioid hydrocodone, for instance. But that doesn’t stop us.

This graph, which I put together from data in the paper, shows pain control across the four randomization categories, with higher numbers indicating more (cumulative) control. While all the active agents do a bit better than placebo, VX-548 at the higher dose appears to do the best. But I should note that 5 mg of hydrocodone may not be an adequate dose for most people.

Dr. F. Perry Wilson


Yes, I would really have killed for an NSAID arm in this trial. Its absence, given that NSAIDs are a staple of postoperative care, is ... well, let’s just say, notable.

Although not a pain-destroying machine, VX-548 has some other things to recommend it. The receptor is really not found in the brain at all, which suggests that the drug should not carry much risk for dependency, though that has not been formally studied.

The side effects were generally mild – headache was the most common – and less prevalent than what you see even in the placebo arm.

The New England Journal of Medicine


Perhaps most notable is the fact that the rate of discontinuation of the study drug was lowest in the VX-548 arm. Patients could stop taking the pill they were assigned for any reason, ranging from perceived lack of efficacy to side effects. A low discontinuation rate indicates to me a sort of “voting with your feet” that suggests this might be a well-tolerated and reasonably effective drug.

VX-548 isn’t on the market yet; phase 3 trials are ongoing. But whether it is this particular drug or another in this class, I’m happy to see researchers trying to find new ways to target that most primeval form of suffering: pain.

Dr. Wilson is an associate professor of medicine and public health and director of Yale’s Clinical and Translational Research Accelerator, New Haven, Conn. He disclosed no relevant financial relationships.

A version of this article appeared on Medscape.com.

This transcript has been edited for clarity.

When you stub your toe or get a paper cut on your finger, you feel the pain in that part of your body. It feels like the pain is coming from that place. But, of course, that’s not really what is happening. Pain doesn’t really happen in your toe or your finger. It happens in your brain.

It’s a game of telephone, really. The afferent nerve fiber detects the noxious stimulus, passing that signal to the second-order neuron in the dorsal root ganglia of the spinal cord, which runs it up to the thalamus to be passed to the third-order neuron which brings it to the cortex for localization and conscious perception. It’s not even a very good game of telephone. It takes about 100 ms for a pain signal to get from the hand to the brain – longer from the feet, given the greater distance. You see your foot hit the corner of the coffee table and have just enough time to think: “Oh no!” before the pain hits.

Wikimedia Commons


Given the Rube Goldberg nature of the process, it would seem like there are any number of places we could stop pain sensation. And sure, local anesthetics at the site of injury, or even spinal anesthetics, are powerful – if temporary and hard to administer – solutions to acute pain.

But in our everyday armamentarium, let’s be honest – we essentially have three options: opiates and opioids, which activate the mu-receptors in the brain to dull pain (and cause a host of other nasty side effects); NSAIDs, which block prostaglandin synthesis and thus limit the ability for pain-conducting neurons to get excited; and acetaminophen, which, despite being used for a century, is poorly understood.

Dr. F. Perry Wilson


But now, we enter the prologue of what might be the next big story in pain control. Let’s talk about VX-548.

If you were to zoom in on the connection between that first afferent pain fiber and the secondary nerve in the spinal cord dorsal root ganglion, you would see a receptor called Nav1.8, a voltage-gated sodium channel.

This receptor is a key part of the apparatus that passes information from nerve 1 to nerve 2, but only for fibers that transmit pain signals. In fact, humans with mutations in this receptor that leave it always in the “open” state have a severe pain syndrome. Blocking the receptor, therefore, might reduce pain.

In preclinical work, researchers identified VX-548, which doesn’t have a brand name yet, as a potent blocker of that channel even in nanomolar concentrations. Importantly, the compound was highly selective for that particular channel – about 30,000 times more selective than it was for the other sodium channels in that family.

Of course, a highly selective and specific drug does not a blockbuster analgesic make. To determine how this drug would work on humans in pain, they turned to two populations: 303 individuals undergoing abdominoplasty and 274 undergoing bunionectomy, as reported in a new paper in the New England Journal of Medicine.

I know this seems a bit random, but abdominoplasty is quite painful and a good model for soft-tissue pain. Bunionectomy is also quite a painful procedure and a useful model of bone pain. After the surgeries, patients were randomized to several different doses of VX-548, hydrocodone plus acetaminophen, or placebo for 48 hours.

At 19 time points over that 48-hour period, participants were asked to rate their pain on a scale from 0 to 10. The primary outcome was the cumulative pain experienced over the 48 hours. So, higher pain would be worse here, but longer duration of pain would also be worse.

The story of the study is really told in this chart.

The New England Journal of Medicine


Yes, those assigned to the highest dose of VX-548 had a statistically significant lower cumulative amount of pain in the 48 hours after surgery. But the picture is really worth more than the stats here. You can see that the onset of pain relief was fairly quick, and that pain relief was sustained over time. You can also see that this is not a miracle drug. Pain scores were a bit better 48 hours out, but only by about a point and a half.

Placebo isn’t really the fair comparison here; few of us treat our postabdominoplasty patients with placebo, after all. The authors do not formally compare the effect of VX-548 with that of the opioid hydrocodone, for instance. But that doesn’t stop us.

This graph, which I put together from data in the paper, shows pain control across the four randomization categories, with higher numbers indicating more (cumulative) control. While all the active agents do a bit better than placebo, VX-548 at the higher dose appears to do the best. But I should note that 5 mg of hydrocodone may not be an adequate dose for most people.

Dr. F. Perry Wilson


Yes, I would really have killed for an NSAID arm in this trial. Its absence, given that NSAIDs are a staple of postoperative care, is ... well, let’s just say, notable.

Although not a pain-destroying machine, VX-548 has some other things to recommend it. The receptor is really not found in the brain at all, which suggests that the drug should not carry much risk for dependency, though that has not been formally studied.

The side effects were generally mild – headache was the most common – and less prevalent than what you see even in the placebo arm.

The New England Journal of Medicine


Perhaps most notable is the fact that the rate of discontinuation of the study drug was lowest in the VX-548 arm. Patients could stop taking the pill they were assigned for any reason, ranging from perceived lack of efficacy to side effects. A low discontinuation rate indicates to me a sort of “voting with your feet” that suggests this might be a well-tolerated and reasonably effective drug.

VX-548 isn’t on the market yet; phase 3 trials are ongoing. But whether it is this particular drug or another in this class, I’m happy to see researchers trying to find new ways to target that most primeval form of suffering: pain.

Dr. Wilson is an associate professor of medicine and public health and director of Yale’s Clinical and Translational Research Accelerator, New Haven, Conn. He disclosed no relevant financial relationships.

A version of this article appeared on Medscape.com.

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In 133-vehicle pileup, bleeding paramedic helps while hurt

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Thu, 08/03/2023 - 12:13

It seemed like a typical kind of day. I was out the door by 6:00 a.m., heading into work for a shift on I-35 West, my daily commute. It was still dark out. A little bit colder that morning, but nothing us Texans aren’t used to.

I was cruising down the tollway, which is separated from the main highway by a barrier. That stretch has a slight hill and turns to the left. You can’t see anything beyond the hill when you’re at the bottom.

As I made my way up, I spotted brake lights about 400 yards ahead. I eased on my brake, and next thing I knew, I was sliding.

I realized, I’m on black ice.

I was driving a 2011 Toyota FJ Cruiser and I had it all beefed up – lift tires, winch bumpers front and back. I had never had any sort of issue like that.

My ABS brakes kicked in. I slowed, but not fast enough. I saw a wall of crashed cars in front of me.

I was in the left-hand lane, so I turned my steering wheel into the center median. I could hear the whole side of my vehicle scraping against it. I managed to slow down enough to just tap the vehicle in front of me.

I looked in my passenger side-view mirror and saw headlights coming in the right lane. But this car couldn’t slow down. It crashed into the wreckage to my right.

That’s when it sunk in: There was going to be a car coming in my lane, and it might not be able to stop.

I looked in my rear-view mirror and saw headlights. Sparks flying off that center median.

I didn’t know at the time, but it was a fully loaded semi-truck traveling about 60 miles an hour.

I had a split second to think: This is it. This is how it ends. I closed my eyes.

It was the most violent impact I’ve ever experienced in my life.

I had no idea until afterward, but I had slammed into the vehicle in front of me and my SUV did a kind of 360° barrel roll over the median into the northbound lanes, landing wheels down on top of my sheared off roof rack.

Everything stopped. I opened my eyes. All my airbags had deployed. I gently tried moving my arms and legs, and they worked. I couldn’t move my left foot. It was wedged underneath the brake pedal. But I wasn’t in any pain, just very confused and disoriented. I knew I needed to get out of the vehicle.

My door was wedged shut, so I crawled out of the broken window, slipping on the black ice. I realized I had hit a Fort Worth police cruiser, now all smashed up. The driver couldn’t open his door. So, I helped him force it open, got him out of the vehicle, and checked on him. He was fine.

I had no idea how many vehicles and people were involved. I was in so much shock that the only thing I could do was immediately revert back to my training. I was the only first responder there. No ambulances on scene yet, no fire. So, I did what I know how to do – except without any tools. I tried to triage as many people as I could.

I was helping people with lacerations, back and neck issues from the violent impacts. When you’re involved in a mass casualty incident like that, you have to assess which patients will be the most viable and need the most immediate attention. You have greens, yellows, reds, and then blacks – the deceased. Someone who doesn’t have a pulse and isn’t breathing, you can’t necessarily do CPR because you don’t have enough resources. You have to use your best judgment.

Meanwhile, the crashes kept coming. I found out later I was roughly vehicle No. 50 in the pileup; 83 more would follow. I heard them over and over – a crash and then screams from people in their vehicles. Each time a car hit, the entire pileup would move a couple of inches, getting more and more compacted. With that going on, I couldn’t go in there to pull people out. That scene was absolutely unsafe.

It felt like forever, but about 10 minutes later, an ambulance showed up, and I walked over to them. Because I was in my work uniform, they thought I was there on a call.

A couple fire crews came, and a firefighter yelled, “Hey, we need a backboard!” So, I grabbed a backboard from their unit and helped load up a patient. Then I heard somebody screaming, “This patient needs a stretcher!” A woman was having lumbar pain that seemed excruciating. I helped move her from the wreckage and carry her over to the stretcher. I started trying to get as many people as I could out of their cars.

Around this time, one of my supervisors showed up. He thought I was there working. But then he asked me, “Why is your face bleeding? Why do you have blood coming from your nose?” I pointed to my vehicle, and his jaw just dropped. He said, “Okay, you’re done. Go sit in my vehicle over there.”

He put a stop to my helping out, which was probably for the best. Because I actually had a concussion, a bone contusion in my foot, and a severely sprained ankle. The next day, I felt like I had gotten hit by a truck. (I had!) But when you have so much adrenaline pumping, you don’t feel pain or emotion. You don’t really feel anything.

While I was sitting in that vehicle, I called my mom to let her know I was okay. My parents were watching the news, and there was an aerial view of the accident. It was massive – a giant pile of metal stretching 200 or 300 yards. Six people had perished, more than 60 were hurt.

That night, our public information officer reached out to me about doing an interview with NBC. So, I told my story about what happened. Because of the concussion, a lot of it was a blur.

A day later, I got a call on my cell phone and someone said, “This is Tyler from Toyota. We saw the NBC interview. We wanted to let you know, don’t worry about getting a new vehicle. Just tell us what color 4Runner you want.”

My first thought was: Okay, this can’t be real. This doesn’t happen to people like me. But it turned out that it was, and they put me in a brand new vehicle.

Toyota started sending me to events like NASCAR races, putting me up in VIP suites. It was a cool experience. But it’s just surface stuff – it’s never going to erase what happened. The experience left a mark. It took me 6 months to a year to get rid of that feeling of the impact. Every time I tried to fall asleep, the whole scenario would replay in my head.

In EMS, we have a saying: “Every patient is practice for the next one.” That pileup – you can’t train for something like that. We all learned from it, so we can better prepare if anything like that happens again.

Since then, I’ve seen people die in motor vehicle collisions from a lot less than what happened to me. I’m not religious or spiritual, but I believe there must be a reason why I’m still here.

Now I see patients in traffic accidents who are very distraught even though they’re going to be okay. I tell them, “I’m sorry this happened to you. But remember, this is not the end. You are alive. And I’m going to do everything I can to make sure that doesn’t change while you’re with me.”
 

Trey McDaniel is a paramedic with MedStar Mobile Healthcare in Fort Worth, Tex.

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

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It seemed like a typical kind of day. I was out the door by 6:00 a.m., heading into work for a shift on I-35 West, my daily commute. It was still dark out. A little bit colder that morning, but nothing us Texans aren’t used to.

I was cruising down the tollway, which is separated from the main highway by a barrier. That stretch has a slight hill and turns to the left. You can’t see anything beyond the hill when you’re at the bottom.

As I made my way up, I spotted brake lights about 400 yards ahead. I eased on my brake, and next thing I knew, I was sliding.

I realized, I’m on black ice.

I was driving a 2011 Toyota FJ Cruiser and I had it all beefed up – lift tires, winch bumpers front and back. I had never had any sort of issue like that.

My ABS brakes kicked in. I slowed, but not fast enough. I saw a wall of crashed cars in front of me.

I was in the left-hand lane, so I turned my steering wheel into the center median. I could hear the whole side of my vehicle scraping against it. I managed to slow down enough to just tap the vehicle in front of me.

I looked in my passenger side-view mirror and saw headlights coming in the right lane. But this car couldn’t slow down. It crashed into the wreckage to my right.

That’s when it sunk in: There was going to be a car coming in my lane, and it might not be able to stop.

I looked in my rear-view mirror and saw headlights. Sparks flying off that center median.

I didn’t know at the time, but it was a fully loaded semi-truck traveling about 60 miles an hour.

I had a split second to think: This is it. This is how it ends. I closed my eyes.

It was the most violent impact I’ve ever experienced in my life.

I had no idea until afterward, but I had slammed into the vehicle in front of me and my SUV did a kind of 360° barrel roll over the median into the northbound lanes, landing wheels down on top of my sheared off roof rack.

Everything stopped. I opened my eyes. All my airbags had deployed. I gently tried moving my arms and legs, and they worked. I couldn’t move my left foot. It was wedged underneath the brake pedal. But I wasn’t in any pain, just very confused and disoriented. I knew I needed to get out of the vehicle.

My door was wedged shut, so I crawled out of the broken window, slipping on the black ice. I realized I had hit a Fort Worth police cruiser, now all smashed up. The driver couldn’t open his door. So, I helped him force it open, got him out of the vehicle, and checked on him. He was fine.

I had no idea how many vehicles and people were involved. I was in so much shock that the only thing I could do was immediately revert back to my training. I was the only first responder there. No ambulances on scene yet, no fire. So, I did what I know how to do – except without any tools. I tried to triage as many people as I could.

I was helping people with lacerations, back and neck issues from the violent impacts. When you’re involved in a mass casualty incident like that, you have to assess which patients will be the most viable and need the most immediate attention. You have greens, yellows, reds, and then blacks – the deceased. Someone who doesn’t have a pulse and isn’t breathing, you can’t necessarily do CPR because you don’t have enough resources. You have to use your best judgment.

Meanwhile, the crashes kept coming. I found out later I was roughly vehicle No. 50 in the pileup; 83 more would follow. I heard them over and over – a crash and then screams from people in their vehicles. Each time a car hit, the entire pileup would move a couple of inches, getting more and more compacted. With that going on, I couldn’t go in there to pull people out. That scene was absolutely unsafe.

It felt like forever, but about 10 minutes later, an ambulance showed up, and I walked over to them. Because I was in my work uniform, they thought I was there on a call.

A couple fire crews came, and a firefighter yelled, “Hey, we need a backboard!” So, I grabbed a backboard from their unit and helped load up a patient. Then I heard somebody screaming, “This patient needs a stretcher!” A woman was having lumbar pain that seemed excruciating. I helped move her from the wreckage and carry her over to the stretcher. I started trying to get as many people as I could out of their cars.

Around this time, one of my supervisors showed up. He thought I was there working. But then he asked me, “Why is your face bleeding? Why do you have blood coming from your nose?” I pointed to my vehicle, and his jaw just dropped. He said, “Okay, you’re done. Go sit in my vehicle over there.”

He put a stop to my helping out, which was probably for the best. Because I actually had a concussion, a bone contusion in my foot, and a severely sprained ankle. The next day, I felt like I had gotten hit by a truck. (I had!) But when you have so much adrenaline pumping, you don’t feel pain or emotion. You don’t really feel anything.

While I was sitting in that vehicle, I called my mom to let her know I was okay. My parents were watching the news, and there was an aerial view of the accident. It was massive – a giant pile of metal stretching 200 or 300 yards. Six people had perished, more than 60 were hurt.

That night, our public information officer reached out to me about doing an interview with NBC. So, I told my story about what happened. Because of the concussion, a lot of it was a blur.

A day later, I got a call on my cell phone and someone said, “This is Tyler from Toyota. We saw the NBC interview. We wanted to let you know, don’t worry about getting a new vehicle. Just tell us what color 4Runner you want.”

My first thought was: Okay, this can’t be real. This doesn’t happen to people like me. But it turned out that it was, and they put me in a brand new vehicle.

Toyota started sending me to events like NASCAR races, putting me up in VIP suites. It was a cool experience. But it’s just surface stuff – it’s never going to erase what happened. The experience left a mark. It took me 6 months to a year to get rid of that feeling of the impact. Every time I tried to fall asleep, the whole scenario would replay in my head.

In EMS, we have a saying: “Every patient is practice for the next one.” That pileup – you can’t train for something like that. We all learned from it, so we can better prepare if anything like that happens again.

Since then, I’ve seen people die in motor vehicle collisions from a lot less than what happened to me. I’m not religious or spiritual, but I believe there must be a reason why I’m still here.

Now I see patients in traffic accidents who are very distraught even though they’re going to be okay. I tell them, “I’m sorry this happened to you. But remember, this is not the end. You are alive. And I’m going to do everything I can to make sure that doesn’t change while you’re with me.”
 

Trey McDaniel is a paramedic with MedStar Mobile Healthcare in Fort Worth, Tex.

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

It seemed like a typical kind of day. I was out the door by 6:00 a.m., heading into work for a shift on I-35 West, my daily commute. It was still dark out. A little bit colder that morning, but nothing us Texans aren’t used to.

I was cruising down the tollway, which is separated from the main highway by a barrier. That stretch has a slight hill and turns to the left. You can’t see anything beyond the hill when you’re at the bottom.

As I made my way up, I spotted brake lights about 400 yards ahead. I eased on my brake, and next thing I knew, I was sliding.

I realized, I’m on black ice.

I was driving a 2011 Toyota FJ Cruiser and I had it all beefed up – lift tires, winch bumpers front and back. I had never had any sort of issue like that.

My ABS brakes kicked in. I slowed, but not fast enough. I saw a wall of crashed cars in front of me.

I was in the left-hand lane, so I turned my steering wheel into the center median. I could hear the whole side of my vehicle scraping against it. I managed to slow down enough to just tap the vehicle in front of me.

I looked in my passenger side-view mirror and saw headlights coming in the right lane. But this car couldn’t slow down. It crashed into the wreckage to my right.

That’s when it sunk in: There was going to be a car coming in my lane, and it might not be able to stop.

I looked in my rear-view mirror and saw headlights. Sparks flying off that center median.

I didn’t know at the time, but it was a fully loaded semi-truck traveling about 60 miles an hour.

I had a split second to think: This is it. This is how it ends. I closed my eyes.

It was the most violent impact I’ve ever experienced in my life.

I had no idea until afterward, but I had slammed into the vehicle in front of me and my SUV did a kind of 360° barrel roll over the median into the northbound lanes, landing wheels down on top of my sheared off roof rack.

Everything stopped. I opened my eyes. All my airbags had deployed. I gently tried moving my arms and legs, and they worked. I couldn’t move my left foot. It was wedged underneath the brake pedal. But I wasn’t in any pain, just very confused and disoriented. I knew I needed to get out of the vehicle.

My door was wedged shut, so I crawled out of the broken window, slipping on the black ice. I realized I had hit a Fort Worth police cruiser, now all smashed up. The driver couldn’t open his door. So, I helped him force it open, got him out of the vehicle, and checked on him. He was fine.

I had no idea how many vehicles and people were involved. I was in so much shock that the only thing I could do was immediately revert back to my training. I was the only first responder there. No ambulances on scene yet, no fire. So, I did what I know how to do – except without any tools. I tried to triage as many people as I could.

I was helping people with lacerations, back and neck issues from the violent impacts. When you’re involved in a mass casualty incident like that, you have to assess which patients will be the most viable and need the most immediate attention. You have greens, yellows, reds, and then blacks – the deceased. Someone who doesn’t have a pulse and isn’t breathing, you can’t necessarily do CPR because you don’t have enough resources. You have to use your best judgment.

Meanwhile, the crashes kept coming. I found out later I was roughly vehicle No. 50 in the pileup; 83 more would follow. I heard them over and over – a crash and then screams from people in their vehicles. Each time a car hit, the entire pileup would move a couple of inches, getting more and more compacted. With that going on, I couldn’t go in there to pull people out. That scene was absolutely unsafe.

It felt like forever, but about 10 minutes later, an ambulance showed up, and I walked over to them. Because I was in my work uniform, they thought I was there on a call.

A couple fire crews came, and a firefighter yelled, “Hey, we need a backboard!” So, I grabbed a backboard from their unit and helped load up a patient. Then I heard somebody screaming, “This patient needs a stretcher!” A woman was having lumbar pain that seemed excruciating. I helped move her from the wreckage and carry her over to the stretcher. I started trying to get as many people as I could out of their cars.

Around this time, one of my supervisors showed up. He thought I was there working. But then he asked me, “Why is your face bleeding? Why do you have blood coming from your nose?” I pointed to my vehicle, and his jaw just dropped. He said, “Okay, you’re done. Go sit in my vehicle over there.”

He put a stop to my helping out, which was probably for the best. Because I actually had a concussion, a bone contusion in my foot, and a severely sprained ankle. The next day, I felt like I had gotten hit by a truck. (I had!) But when you have so much adrenaline pumping, you don’t feel pain or emotion. You don’t really feel anything.

While I was sitting in that vehicle, I called my mom to let her know I was okay. My parents were watching the news, and there was an aerial view of the accident. It was massive – a giant pile of metal stretching 200 or 300 yards. Six people had perished, more than 60 were hurt.

That night, our public information officer reached out to me about doing an interview with NBC. So, I told my story about what happened. Because of the concussion, a lot of it was a blur.

A day later, I got a call on my cell phone and someone said, “This is Tyler from Toyota. We saw the NBC interview. We wanted to let you know, don’t worry about getting a new vehicle. Just tell us what color 4Runner you want.”

My first thought was: Okay, this can’t be real. This doesn’t happen to people like me. But it turned out that it was, and they put me in a brand new vehicle.

Toyota started sending me to events like NASCAR races, putting me up in VIP suites. It was a cool experience. But it’s just surface stuff – it’s never going to erase what happened. The experience left a mark. It took me 6 months to a year to get rid of that feeling of the impact. Every time I tried to fall asleep, the whole scenario would replay in my head.

In EMS, we have a saying: “Every patient is practice for the next one.” That pileup – you can’t train for something like that. We all learned from it, so we can better prepare if anything like that happens again.

Since then, I’ve seen people die in motor vehicle collisions from a lot less than what happened to me. I’m not religious or spiritual, but I believe there must be a reason why I’m still here.

Now I see patients in traffic accidents who are very distraught even though they’re going to be okay. I tell them, “I’m sorry this happened to you. But remember, this is not the end. You are alive. And I’m going to do everything I can to make sure that doesn’t change while you’re with me.”
 

Trey McDaniel is a paramedic with MedStar Mobile Healthcare in Fort Worth, Tex.

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

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Obesity: Don’t separate mental health from physical health

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Thu, 08/03/2023 - 09:23

“The patient is ready,” the medical assistant informs you while handing you the chart. The chart reads: “Chief complaint: Weight gain/Discuss weight loss options.” You note the normal vital signs other than an increased BMI to 34 from 4 months ago. You knock on the exam room door with your plan half-formulated.
 

“Come in,” the patient says, almost too softly for you to hear. Shock overtakes you as you enter the room and see something you never imagined. The patient is holding their disconnected head in their lap as they say, “Nice to see you, Doc. I want to do something about my weight.”

You’re baffled at how they are speaking with a disconnected head. Of course, this outlandish patient scenario isn’t real. Or is it?

Patients with mental health concerns don’t literally present with their head disconnected from their bodies. Too often, mental health is treated as separate from physical health, especially regarding weight management and obesity. However, studies have shown an association between mental health and obesity. In this pivotal time of pharmacologic innovation in obesity care, we must also ensure that we effectively address the mental health of our patients with obesity.

In this article, I’ll share six ways that clinicians can improve mental health care for patients with obesity.
 

Screening

Mental health conditions can look different for everyone. It can be hard to diagnose a mental health condition without validated screening. For example, depression is one of the most common mental health disorders. The U.S. Preventive Services Task Force recommends depression screening in all adults.

The Patient Health Questionnaire-2 (PHQ-2) is one screening tool that can alert doctors and clinicians to potential depression. Patients with obesity have higher rates of depression and other mental health conditions. It’s even more critical to screen for depression and other mental health disorders when prescribing these new medications, given recent reports of suicidal ideation with certain antiobesity medications.
 

Stigma

Mental health–related stigma can trigger shame and prevent patients from seeking psychological help. Furthermore, compounded stigma in patients with larger bodies (weight bias) and from marginalized communities such as the Black community (racial discrimination) add more barriers to seeking mental health care. When patients seek care for mental health conditions, they may feel more comfortable seeing a primary care physician or other clinician than a mental health professional. Therefore, all physicians and clinicians are integral in normalizing mental health care. Instead of treating mental health as separate from physical health, discussing the bidirectional relationship between mental health conditions and physiologic diseases can help patients understand that having a mental health condition isn’t a choice and facilitate openness to multiple treatment options to improve their quality of life.

Support

Addressing mental health effectively often requires multiple layers of patient support. Support can come from loved ones or community groups. But for severe stress and other mental health conditions, treatment with psychotherapy or psychiatric medications is essential. Unfortunately, even if a patient is willing to see a mental health professional, availability or access may be a challenge. Therefore, other clinicians may have to step in and serve as a bridge to mental health care. It’s also essential to ensure that patients are aware of crisis support lines and online resources for mental health care.

 

 

Stress

Having a high level of stress can be harmful physically and can also worsen mental health conditions. Additionally, it can contribute to a higher risk for obesity and can trigger emotional eating. Chronic stress has become so common in society that patients often underestimate how much stress they are under. Assessments like the Holmes-Rahe Stress Inventory can help patients identify and quantify potential stressors. While some stressors are uncontrollable, such as social determinants of health (SDOH), addressing controllable stressors and improving coping mechanisms is possible. For instance, mindfulness and breathwork are easy to follow and relatively accessible for most patients.

Social determinants of health

For a treatment plan to be maximally impactful, we must incorporate SDOH in clinical care. SDOH includes financial instability, safe neighborhoods, and more, and can significantly influence an ideal treatment plan. Furthermore, a high SDOH burden can negatively affect mental health and obesity rates. It’s helpful to incorporate patients’ SDOH burden into treatment planning. Learn how to take action on SDOH.

Empowerment

Patients who address their mental health have taken a courageous step toward health and healing. As mentioned, they may experience gaps in care while awaiting connection to the next steps of their journey, such as starting care with a mental health professional or waiting for a medication to take effect. All clinicians can empower patients about their weight by informing them that:

Food may affect their mood. Studies show that certain foods and eating patterns are associated with high levels of depression and anxiety. Limiting processed foods and increasing fruits, vegetables, and foods high in vitamin D, C, and other nutrients is helpful. Everyone is different, so encourage patients to pay attention to how food uniquely affects their mood by keeping a food/feeling log for 1-3 days.

Move more. Increased physical activity can improve mental health.

Get outdoors. Time in nature is associated with better mental health. Spending as little as 10 minutes outside can be beneficial. It’s important to be aware that SDOH factors such as unsafe environments or limited outdoor access may make this difficult for some patients.

Positive stress-relieving activities. Each person has their own way of reducing stress. It is helpful to remind patients of unhealthy stress relievers such as overeating, drinking alcohol, and smoking, and encourage them to replace those with positive stress relievers.

Spiritual well-being. Spirituality is often overlooked in health care. But studies have shown that incorporating a person’s spirituality may have positive health benefits.

It’s time to stop disconnecting mental health from physical health. Each clinician plays a vital role in treating the whole person. Just as you wouldn’t let a patient with a disconnected head leave the office without addressing it, let’s not leave mental health out when addressing our patients’ weight concerns.

Dr. Gonsahn-Bollie is an integrative obesity specialist focused on individualized solutions for emotional and biological overeating. Connect with her at www.embraceyouweightloss.com or on Instagram @embraceyoumd. Her bestselling book, “Embrace You: Your Guide to Transforming Weight Loss Misconceptions Into Lifelong Wellness,” (Baltimore: Purposely Created Publishing Group, 2019) was Healthline.com’s Best Overall Weight Loss Book of 2022 and one of Livestrong.com’s 8 Best Weight-Loss Books to Read in 2022.

Dr. Gonsahn-Bollie is CEO and Lead Physician, Embrace You Weight and Wellness, Telehealth & Virtual Counseling. She has disclosed no relevant financial relationships.

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

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“The patient is ready,” the medical assistant informs you while handing you the chart. The chart reads: “Chief complaint: Weight gain/Discuss weight loss options.” You note the normal vital signs other than an increased BMI to 34 from 4 months ago. You knock on the exam room door with your plan half-formulated.
 

“Come in,” the patient says, almost too softly for you to hear. Shock overtakes you as you enter the room and see something you never imagined. The patient is holding their disconnected head in their lap as they say, “Nice to see you, Doc. I want to do something about my weight.”

You’re baffled at how they are speaking with a disconnected head. Of course, this outlandish patient scenario isn’t real. Or is it?

Patients with mental health concerns don’t literally present with their head disconnected from their bodies. Too often, mental health is treated as separate from physical health, especially regarding weight management and obesity. However, studies have shown an association between mental health and obesity. In this pivotal time of pharmacologic innovation in obesity care, we must also ensure that we effectively address the mental health of our patients with obesity.

In this article, I’ll share six ways that clinicians can improve mental health care for patients with obesity.
 

Screening

Mental health conditions can look different for everyone. It can be hard to diagnose a mental health condition without validated screening. For example, depression is one of the most common mental health disorders. The U.S. Preventive Services Task Force recommends depression screening in all adults.

The Patient Health Questionnaire-2 (PHQ-2) is one screening tool that can alert doctors and clinicians to potential depression. Patients with obesity have higher rates of depression and other mental health conditions. It’s even more critical to screen for depression and other mental health disorders when prescribing these new medications, given recent reports of suicidal ideation with certain antiobesity medications.
 

Stigma

Mental health–related stigma can trigger shame and prevent patients from seeking psychological help. Furthermore, compounded stigma in patients with larger bodies (weight bias) and from marginalized communities such as the Black community (racial discrimination) add more barriers to seeking mental health care. When patients seek care for mental health conditions, they may feel more comfortable seeing a primary care physician or other clinician than a mental health professional. Therefore, all physicians and clinicians are integral in normalizing mental health care. Instead of treating mental health as separate from physical health, discussing the bidirectional relationship between mental health conditions and physiologic diseases can help patients understand that having a mental health condition isn’t a choice and facilitate openness to multiple treatment options to improve their quality of life.

Support

Addressing mental health effectively often requires multiple layers of patient support. Support can come from loved ones or community groups. But for severe stress and other mental health conditions, treatment with psychotherapy or psychiatric medications is essential. Unfortunately, even if a patient is willing to see a mental health professional, availability or access may be a challenge. Therefore, other clinicians may have to step in and serve as a bridge to mental health care. It’s also essential to ensure that patients are aware of crisis support lines and online resources for mental health care.

 

 

Stress

Having a high level of stress can be harmful physically and can also worsen mental health conditions. Additionally, it can contribute to a higher risk for obesity and can trigger emotional eating. Chronic stress has become so common in society that patients often underestimate how much stress they are under. Assessments like the Holmes-Rahe Stress Inventory can help patients identify and quantify potential stressors. While some stressors are uncontrollable, such as social determinants of health (SDOH), addressing controllable stressors and improving coping mechanisms is possible. For instance, mindfulness and breathwork are easy to follow and relatively accessible for most patients.

Social determinants of health

For a treatment plan to be maximally impactful, we must incorporate SDOH in clinical care. SDOH includes financial instability, safe neighborhoods, and more, and can significantly influence an ideal treatment plan. Furthermore, a high SDOH burden can negatively affect mental health and obesity rates. It’s helpful to incorporate patients’ SDOH burden into treatment planning. Learn how to take action on SDOH.

Empowerment

Patients who address their mental health have taken a courageous step toward health and healing. As mentioned, they may experience gaps in care while awaiting connection to the next steps of their journey, such as starting care with a mental health professional or waiting for a medication to take effect. All clinicians can empower patients about their weight by informing them that:

Food may affect their mood. Studies show that certain foods and eating patterns are associated with high levels of depression and anxiety. Limiting processed foods and increasing fruits, vegetables, and foods high in vitamin D, C, and other nutrients is helpful. Everyone is different, so encourage patients to pay attention to how food uniquely affects their mood by keeping a food/feeling log for 1-3 days.

Move more. Increased physical activity can improve mental health.

Get outdoors. Time in nature is associated with better mental health. Spending as little as 10 minutes outside can be beneficial. It’s important to be aware that SDOH factors such as unsafe environments or limited outdoor access may make this difficult for some patients.

Positive stress-relieving activities. Each person has their own way of reducing stress. It is helpful to remind patients of unhealthy stress relievers such as overeating, drinking alcohol, and smoking, and encourage them to replace those with positive stress relievers.

Spiritual well-being. Spirituality is often overlooked in health care. But studies have shown that incorporating a person’s spirituality may have positive health benefits.

It’s time to stop disconnecting mental health from physical health. Each clinician plays a vital role in treating the whole person. Just as you wouldn’t let a patient with a disconnected head leave the office without addressing it, let’s not leave mental health out when addressing our patients’ weight concerns.

Dr. Gonsahn-Bollie is an integrative obesity specialist focused on individualized solutions for emotional and biological overeating. Connect with her at www.embraceyouweightloss.com or on Instagram @embraceyoumd. Her bestselling book, “Embrace You: Your Guide to Transforming Weight Loss Misconceptions Into Lifelong Wellness,” (Baltimore: Purposely Created Publishing Group, 2019) was Healthline.com’s Best Overall Weight Loss Book of 2022 and one of Livestrong.com’s 8 Best Weight-Loss Books to Read in 2022.

Dr. Gonsahn-Bollie is CEO and Lead Physician, Embrace You Weight and Wellness, Telehealth & Virtual Counseling. She has disclosed no relevant financial relationships.

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

“The patient is ready,” the medical assistant informs you while handing you the chart. The chart reads: “Chief complaint: Weight gain/Discuss weight loss options.” You note the normal vital signs other than an increased BMI to 34 from 4 months ago. You knock on the exam room door with your plan half-formulated.
 

“Come in,” the patient says, almost too softly for you to hear. Shock overtakes you as you enter the room and see something you never imagined. The patient is holding their disconnected head in their lap as they say, “Nice to see you, Doc. I want to do something about my weight.”

You’re baffled at how they are speaking with a disconnected head. Of course, this outlandish patient scenario isn’t real. Or is it?

Patients with mental health concerns don’t literally present with their head disconnected from their bodies. Too often, mental health is treated as separate from physical health, especially regarding weight management and obesity. However, studies have shown an association between mental health and obesity. In this pivotal time of pharmacologic innovation in obesity care, we must also ensure that we effectively address the mental health of our patients with obesity.

In this article, I’ll share six ways that clinicians can improve mental health care for patients with obesity.
 

Screening

Mental health conditions can look different for everyone. It can be hard to diagnose a mental health condition without validated screening. For example, depression is one of the most common mental health disorders. The U.S. Preventive Services Task Force recommends depression screening in all adults.

The Patient Health Questionnaire-2 (PHQ-2) is one screening tool that can alert doctors and clinicians to potential depression. Patients with obesity have higher rates of depression and other mental health conditions. It’s even more critical to screen for depression and other mental health disorders when prescribing these new medications, given recent reports of suicidal ideation with certain antiobesity medications.
 

Stigma

Mental health–related stigma can trigger shame and prevent patients from seeking psychological help. Furthermore, compounded stigma in patients with larger bodies (weight bias) and from marginalized communities such as the Black community (racial discrimination) add more barriers to seeking mental health care. When patients seek care for mental health conditions, they may feel more comfortable seeing a primary care physician or other clinician than a mental health professional. Therefore, all physicians and clinicians are integral in normalizing mental health care. Instead of treating mental health as separate from physical health, discussing the bidirectional relationship between mental health conditions and physiologic diseases can help patients understand that having a mental health condition isn’t a choice and facilitate openness to multiple treatment options to improve their quality of life.

Support

Addressing mental health effectively often requires multiple layers of patient support. Support can come from loved ones or community groups. But for severe stress and other mental health conditions, treatment with psychotherapy or psychiatric medications is essential. Unfortunately, even if a patient is willing to see a mental health professional, availability or access may be a challenge. Therefore, other clinicians may have to step in and serve as a bridge to mental health care. It’s also essential to ensure that patients are aware of crisis support lines and online resources for mental health care.

 

 

Stress

Having a high level of stress can be harmful physically and can also worsen mental health conditions. Additionally, it can contribute to a higher risk for obesity and can trigger emotional eating. Chronic stress has become so common in society that patients often underestimate how much stress they are under. Assessments like the Holmes-Rahe Stress Inventory can help patients identify and quantify potential stressors. While some stressors are uncontrollable, such as social determinants of health (SDOH), addressing controllable stressors and improving coping mechanisms is possible. For instance, mindfulness and breathwork are easy to follow and relatively accessible for most patients.

Social determinants of health

For a treatment plan to be maximally impactful, we must incorporate SDOH in clinical care. SDOH includes financial instability, safe neighborhoods, and more, and can significantly influence an ideal treatment plan. Furthermore, a high SDOH burden can negatively affect mental health and obesity rates. It’s helpful to incorporate patients’ SDOH burden into treatment planning. Learn how to take action on SDOH.

Empowerment

Patients who address their mental health have taken a courageous step toward health and healing. As mentioned, they may experience gaps in care while awaiting connection to the next steps of their journey, such as starting care with a mental health professional or waiting for a medication to take effect. All clinicians can empower patients about their weight by informing them that:

Food may affect their mood. Studies show that certain foods and eating patterns are associated with high levels of depression and anxiety. Limiting processed foods and increasing fruits, vegetables, and foods high in vitamin D, C, and other nutrients is helpful. Everyone is different, so encourage patients to pay attention to how food uniquely affects their mood by keeping a food/feeling log for 1-3 days.

Move more. Increased physical activity can improve mental health.

Get outdoors. Time in nature is associated with better mental health. Spending as little as 10 minutes outside can be beneficial. It’s important to be aware that SDOH factors such as unsafe environments or limited outdoor access may make this difficult for some patients.

Positive stress-relieving activities. Each person has their own way of reducing stress. It is helpful to remind patients of unhealthy stress relievers such as overeating, drinking alcohol, and smoking, and encourage them to replace those with positive stress relievers.

Spiritual well-being. Spirituality is often overlooked in health care. But studies have shown that incorporating a person’s spirituality may have positive health benefits.

It’s time to stop disconnecting mental health from physical health. Each clinician plays a vital role in treating the whole person. Just as you wouldn’t let a patient with a disconnected head leave the office without addressing it, let’s not leave mental health out when addressing our patients’ weight concerns.

Dr. Gonsahn-Bollie is an integrative obesity specialist focused on individualized solutions for emotional and biological overeating. Connect with her at www.embraceyouweightloss.com or on Instagram @embraceyoumd. Her bestselling book, “Embrace You: Your Guide to Transforming Weight Loss Misconceptions Into Lifelong Wellness,” (Baltimore: Purposely Created Publishing Group, 2019) was Healthline.com’s Best Overall Weight Loss Book of 2022 and one of Livestrong.com’s 8 Best Weight-Loss Books to Read in 2022.

Dr. Gonsahn-Bollie is CEO and Lead Physician, Embrace You Weight and Wellness, Telehealth & Virtual Counseling. She has disclosed no relevant financial relationships.

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

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Prescribing lifestyle changes: When medicine isn’t enough

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Thu, 08/17/2023 - 07:33

In psychiatry, patients come to us with their list of symptoms, often a diagnosis they’ve made themselves, and the expectation that they will be given medication to fix their problem. Their diagnoses are often right on target – people often know if they are depressed or anxious, and Doctor Google may provide useful information.

Dr. Dinah Miller

Sometimes they want a specific medication, one they saw in a TV ad, or one that helped them in the past or has helped someone they know. As psychiatrists have focused more on their strengths as psychopharmacologists and less on psychotherapy, it gets easy for both the patient and the doctor to look to medication, cocktails, and titration as the only thing we do.

“My medicine stopped working,” is a line I commonly hear. Often the patient is on a complicated regimen that has been serving them well, and it seems unlikely that the five psychotropic medications they are taking have suddenly “stopped working.” An obvious exception is the SSRI “poop out” that can occur 6-12 months or more after beginning treatment. In addition, it’s important to make sure patients are taking their medications as prescribed, and that the generic formulations have not changed.

But as rates of mental illness increase, some of it spurred on by difficult times, it is important to talk with patients about other factors that contribute to psychiatric conditions and to empower them to see their illnesses as something other than deranged brain chemicals in need of a medication fix.

This is not to devalue our medications, but to help the patient see symptoms as having multiple factors and give them some means to intervene, in addition to medications. At the beginning of therapy, it is important to “prescribe” lifestyle changes that will facilitate the best possible outcomes.
 

Nonpharmaceutical prescriptions

Early in my career, people with alcohol use problems were told they needed to be substance free before they were candidates for antidepressants. While we no longer do that, it is still important to emphasize abstinence from addictive substances, and to recommend specific treatment when necessary.

Patients are often reluctant to see their use of alcohol, marijuana (it’s medical! It’s part of wellness!), or their pain medications as part of the problem, and this can be difficult. There have been times, after multiple medications have failed to help their symptoms, when I have said, “If you don’t get treatment for this problem, I am not going to be able to help you feel better” and that has been motivating for the patient.

There are other “prescriptions” to write. Regular sleep is essential for people with mood disorders, and this can be difficult for many patients, especially those who do shift work, or who have regular disruptions to their sleep from noise, pets, and children. Exercise is wonderful for the cardiovascular system, calms anxiety, and maintains strength, endurance, mobility, and quality of life as people age. But it can be a hard sell to people in a mental health crisis.

Nature is healing, and sunshine helps with maintaining circadian rhythms. For those who don’t exercise, I often “prescribe” 20 to 30 minutes a day of walking, preferably outside, during daylight hours, in a park or natural setting. For people with anxiety, it is important to check their caffeine consumption and to suggest ways to moderate it – moving to decaffeinated beverages or titrating down by mixing decaf with caffeinated.

Meditation is something that many people find helpful. For anxious people, it can be very difficult, and I will prescribe a specific instructional video course that I like on the well-being app InsightTimer – Sarah Blondin’s Learn How to Meditate in Seven Days. The sessions are approximately 10 minutes long, and that seems like the right amount of time for a beginner.

When people are very ill and don’t want to go into the hospital, I talk with them about things that happen in the hospital that are helpful, things they can try to mimic at home. In the hospital, patients don’t go to work, they don’t spend hours a day on the computer, and they are given a pass from dealing with the routine stresses of daily life.

I ask them to take time off work, to avoid as much stress as possible, to spend time with loved ones who give them comfort, and to avoid the people who leave them feeling drained or distressed. I ask them to engage in activities they find healing, to eat well, exercise, and avoid social media. In the hospital, I emphasize, they wake patients up in the morning, ask them to get out of bed and engage in therapeutic activities. They are fed and kept from intoxicants.

When it comes to nutrition, we know so little about how food affects mental health. I feel like it can’t hurt to ask people to avoid fast foods, soft drinks, and processed foods, and so I do.

And what about compliance? Of course, not everyone complies; not everyone is interested in making changes and these can be hard changes. I’ve recently started to recommend the book Atomic Habits by James Clear. Sometimes a bit of motivational interviewing can also be helpful in getting people to look at slowly moving toward making changes.

In prescribing lifestyle changes, it is important to offer most of these changes as suggestions, not as things we insist on, or that will leave the patient feeling ashamed if he doesn’t follow through. They should be discussed early in treatment so that patients don’t feel blamed for their illness or relapses. As with all the things we prescribe, some of these behavior changes help some of the people some of the time. Suggesting them, however, makes the strong statement that treating psychiatric disorders can be about more than passively swallowing a pill.

Dr. Miller is a coauthor of “Committed: The Battle Over Involuntary Psychiatric Care” (Baltimore: Johns Hopkins University Press, 2016). She has a private practice and is an assistant professor of psychiatry and behavioral sciences at Johns Hopkins University, Baltimore. She disclosed no relevant conflicts of interest.

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In psychiatry, patients come to us with their list of symptoms, often a diagnosis they’ve made themselves, and the expectation that they will be given medication to fix their problem. Their diagnoses are often right on target – people often know if they are depressed or anxious, and Doctor Google may provide useful information.

Dr. Dinah Miller

Sometimes they want a specific medication, one they saw in a TV ad, or one that helped them in the past or has helped someone they know. As psychiatrists have focused more on their strengths as psychopharmacologists and less on psychotherapy, it gets easy for both the patient and the doctor to look to medication, cocktails, and titration as the only thing we do.

“My medicine stopped working,” is a line I commonly hear. Often the patient is on a complicated regimen that has been serving them well, and it seems unlikely that the five psychotropic medications they are taking have suddenly “stopped working.” An obvious exception is the SSRI “poop out” that can occur 6-12 months or more after beginning treatment. In addition, it’s important to make sure patients are taking their medications as prescribed, and that the generic formulations have not changed.

But as rates of mental illness increase, some of it spurred on by difficult times, it is important to talk with patients about other factors that contribute to psychiatric conditions and to empower them to see their illnesses as something other than deranged brain chemicals in need of a medication fix.

This is not to devalue our medications, but to help the patient see symptoms as having multiple factors and give them some means to intervene, in addition to medications. At the beginning of therapy, it is important to “prescribe” lifestyle changes that will facilitate the best possible outcomes.
 

Nonpharmaceutical prescriptions

Early in my career, people with alcohol use problems were told they needed to be substance free before they were candidates for antidepressants. While we no longer do that, it is still important to emphasize abstinence from addictive substances, and to recommend specific treatment when necessary.

Patients are often reluctant to see their use of alcohol, marijuana (it’s medical! It’s part of wellness!), or their pain medications as part of the problem, and this can be difficult. There have been times, after multiple medications have failed to help their symptoms, when I have said, “If you don’t get treatment for this problem, I am not going to be able to help you feel better” and that has been motivating for the patient.

There are other “prescriptions” to write. Regular sleep is essential for people with mood disorders, and this can be difficult for many patients, especially those who do shift work, or who have regular disruptions to their sleep from noise, pets, and children. Exercise is wonderful for the cardiovascular system, calms anxiety, and maintains strength, endurance, mobility, and quality of life as people age. But it can be a hard sell to people in a mental health crisis.

Nature is healing, and sunshine helps with maintaining circadian rhythms. For those who don’t exercise, I often “prescribe” 20 to 30 minutes a day of walking, preferably outside, during daylight hours, in a park or natural setting. For people with anxiety, it is important to check their caffeine consumption and to suggest ways to moderate it – moving to decaffeinated beverages or titrating down by mixing decaf with caffeinated.

Meditation is something that many people find helpful. For anxious people, it can be very difficult, and I will prescribe a specific instructional video course that I like on the well-being app InsightTimer – Sarah Blondin’s Learn How to Meditate in Seven Days. The sessions are approximately 10 minutes long, and that seems like the right amount of time for a beginner.

When people are very ill and don’t want to go into the hospital, I talk with them about things that happen in the hospital that are helpful, things they can try to mimic at home. In the hospital, patients don’t go to work, they don’t spend hours a day on the computer, and they are given a pass from dealing with the routine stresses of daily life.

I ask them to take time off work, to avoid as much stress as possible, to spend time with loved ones who give them comfort, and to avoid the people who leave them feeling drained or distressed. I ask them to engage in activities they find healing, to eat well, exercise, and avoid social media. In the hospital, I emphasize, they wake patients up in the morning, ask them to get out of bed and engage in therapeutic activities. They are fed and kept from intoxicants.

When it comes to nutrition, we know so little about how food affects mental health. I feel like it can’t hurt to ask people to avoid fast foods, soft drinks, and processed foods, and so I do.

And what about compliance? Of course, not everyone complies; not everyone is interested in making changes and these can be hard changes. I’ve recently started to recommend the book Atomic Habits by James Clear. Sometimes a bit of motivational interviewing can also be helpful in getting people to look at slowly moving toward making changes.

In prescribing lifestyle changes, it is important to offer most of these changes as suggestions, not as things we insist on, or that will leave the patient feeling ashamed if he doesn’t follow through. They should be discussed early in treatment so that patients don’t feel blamed for their illness or relapses. As with all the things we prescribe, some of these behavior changes help some of the people some of the time. Suggesting them, however, makes the strong statement that treating psychiatric disorders can be about more than passively swallowing a pill.

Dr. Miller is a coauthor of “Committed: The Battle Over Involuntary Psychiatric Care” (Baltimore: Johns Hopkins University Press, 2016). She has a private practice and is an assistant professor of psychiatry and behavioral sciences at Johns Hopkins University, Baltimore. She disclosed no relevant conflicts of interest.

In psychiatry, patients come to us with their list of symptoms, often a diagnosis they’ve made themselves, and the expectation that they will be given medication to fix their problem. Their diagnoses are often right on target – people often know if they are depressed or anxious, and Doctor Google may provide useful information.

Dr. Dinah Miller

Sometimes they want a specific medication, one they saw in a TV ad, or one that helped them in the past or has helped someone they know. As psychiatrists have focused more on their strengths as psychopharmacologists and less on psychotherapy, it gets easy for both the patient and the doctor to look to medication, cocktails, and titration as the only thing we do.

“My medicine stopped working,” is a line I commonly hear. Often the patient is on a complicated regimen that has been serving them well, and it seems unlikely that the five psychotropic medications they are taking have suddenly “stopped working.” An obvious exception is the SSRI “poop out” that can occur 6-12 months or more after beginning treatment. In addition, it’s important to make sure patients are taking their medications as prescribed, and that the generic formulations have not changed.

But as rates of mental illness increase, some of it spurred on by difficult times, it is important to talk with patients about other factors that contribute to psychiatric conditions and to empower them to see their illnesses as something other than deranged brain chemicals in need of a medication fix.

This is not to devalue our medications, but to help the patient see symptoms as having multiple factors and give them some means to intervene, in addition to medications. At the beginning of therapy, it is important to “prescribe” lifestyle changes that will facilitate the best possible outcomes.
 

Nonpharmaceutical prescriptions

Early in my career, people with alcohol use problems were told they needed to be substance free before they were candidates for antidepressants. While we no longer do that, it is still important to emphasize abstinence from addictive substances, and to recommend specific treatment when necessary.

Patients are often reluctant to see their use of alcohol, marijuana (it’s medical! It’s part of wellness!), or their pain medications as part of the problem, and this can be difficult. There have been times, after multiple medications have failed to help their symptoms, when I have said, “If you don’t get treatment for this problem, I am not going to be able to help you feel better” and that has been motivating for the patient.

There are other “prescriptions” to write. Regular sleep is essential for people with mood disorders, and this can be difficult for many patients, especially those who do shift work, or who have regular disruptions to their sleep from noise, pets, and children. Exercise is wonderful for the cardiovascular system, calms anxiety, and maintains strength, endurance, mobility, and quality of life as people age. But it can be a hard sell to people in a mental health crisis.

Nature is healing, and sunshine helps with maintaining circadian rhythms. For those who don’t exercise, I often “prescribe” 20 to 30 minutes a day of walking, preferably outside, during daylight hours, in a park or natural setting. For people with anxiety, it is important to check their caffeine consumption and to suggest ways to moderate it – moving to decaffeinated beverages or titrating down by mixing decaf with caffeinated.

Meditation is something that many people find helpful. For anxious people, it can be very difficult, and I will prescribe a specific instructional video course that I like on the well-being app InsightTimer – Sarah Blondin’s Learn How to Meditate in Seven Days. The sessions are approximately 10 minutes long, and that seems like the right amount of time for a beginner.

When people are very ill and don’t want to go into the hospital, I talk with them about things that happen in the hospital that are helpful, things they can try to mimic at home. In the hospital, patients don’t go to work, they don’t spend hours a day on the computer, and they are given a pass from dealing with the routine stresses of daily life.

I ask them to take time off work, to avoid as much stress as possible, to spend time with loved ones who give them comfort, and to avoid the people who leave them feeling drained or distressed. I ask them to engage in activities they find healing, to eat well, exercise, and avoid social media. In the hospital, I emphasize, they wake patients up in the morning, ask them to get out of bed and engage in therapeutic activities. They are fed and kept from intoxicants.

When it comes to nutrition, we know so little about how food affects mental health. I feel like it can’t hurt to ask people to avoid fast foods, soft drinks, and processed foods, and so I do.

And what about compliance? Of course, not everyone complies; not everyone is interested in making changes and these can be hard changes. I’ve recently started to recommend the book Atomic Habits by James Clear. Sometimes a bit of motivational interviewing can also be helpful in getting people to look at slowly moving toward making changes.

In prescribing lifestyle changes, it is important to offer most of these changes as suggestions, not as things we insist on, or that will leave the patient feeling ashamed if he doesn’t follow through. They should be discussed early in treatment so that patients don’t feel blamed for their illness or relapses. As with all the things we prescribe, some of these behavior changes help some of the people some of the time. Suggesting them, however, makes the strong statement that treating psychiatric disorders can be about more than passively swallowing a pill.

Dr. Miller is a coauthor of “Committed: The Battle Over Involuntary Psychiatric Care” (Baltimore: Johns Hopkins University Press, 2016). She has a private practice and is an assistant professor of psychiatry and behavioral sciences at Johns Hopkins University, Baltimore. She disclosed no relevant conflicts of interest.

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