Major Depressive Disorder

TOPLINE:

Hypochondriasis is linked to an 84% higher risk for death for those with the disorder and a fourfold increased risk for suicide, new population-based data show. These findings, investigators noted, suggest the need for more clinical screening and treatment of hypochondriasis, also known as health anxiety disorder.

METHODOLOGY:

• Investigators used several Swedish population-based registers to identify people who received a diagnosis of hypochondriasis between January 1997 and December 2020.
• Each individual diagnosed with hypochondriasis (n = 4129; 2342 women; median 34.5 years at diagnosis) was age- and sex-matched with 10 individuals without the disorder (n = 41,290).
• For those who died during the study period, cause of death was categorized as natural (neoplasms; diseases of the nervous system, circulatory system, or respiratory system) or unnatural (primarily suicide).
• Investigators age- and sex-matched 4129 individuals with hypochondriasis to 41,290 individuals without hypochondriasis.

TAKEAWAY:

• Individuals with hypochondriasis had an 84% higher risk for all-cause mortality during the study period than those without it (adjusted hazard ratio [aHR], 1.84; 95% CI, 1.60-2.10), including a higher risk for both natural (aHR, 1.60; 95% CI, 1.38-1.85) and unnatural death (aHR, 2.43; 95% CI, 1.61-3.68).
• The majority of individuals with hypochondriasis were diagnosed with at least one additional psychiatric disorder (primarily anxiety-related and depressive disorders) vs the group without hypochondriasis (86% vs 20%, respectively; P < .001).
• The risk for suicide — the most common unnatural cause of death — was four times higher in those with hypochondriasis (aHR, 4.14; 95% CI, 2.44-7.03).
• When investigators limited analyses to include only psychiatric comorbidities recorded before the first diagnosis of hypochondriasis, suicide risk was attenuated but remained statistically significant.

IN PRACTICE:

“Taken together, these findings illustrate a paradox, whereby individuals with hypochondriasis have an increased risk for death despite their pervasive fears of illness and death. In this study, most deaths could be classified as potentially preventable. Dismissing these individuals’ somatic symptoms as imaginary may have dire consequences,” the authors wrote.

SOURCE:

David Mataix-Cols, PhD, of the Karolinska Institutet, Stockholm, Sweden, led the study, which was published online on December 13, 2023, in JAMA Psychiatry.

LIMITATIONS:

Hypochondriasis is thought to be underdiagnosed in Sweden, with only approximately 4000 cases registered within two decades. Study investigators also noted that they did not obtain data from primary care, the setting where the majority of hypochondriasis cases are diagnosed.

DISCLOSURES:

The study was funded by the Swedish Research Council for Health, Working Life and Welfare, Stockholm; the Swedish Society of Medicine, Stockholm; and Karolinska Institutet, Stockholm. Dr. Mataix-Cols reported receiving personal fees from UpToDate Inc. Author disclosures can be found in the original article.

A version of this article appeared on Medscape.com.

TOPLINE:

Hypochondriasis is linked to an 84% higher risk for death for those with the disorder and a fourfold increased risk for suicide, new population-based data show. These findings, investigators noted, suggest the need for more clinical screening and treatment of hypochondriasis, also known as health anxiety disorder.

METHODOLOGY:

• Investigators used several Swedish population-based registers to identify people who received a diagnosis of hypochondriasis between January 1997 and December 2020.
• Each individual diagnosed with hypochondriasis (n = 4129; 2342 women; median 34.5 years at diagnosis) was age- and sex-matched with 10 individuals without the disorder (n = 41,290).
• For those who died during the study period, cause of death was categorized as natural (neoplasms; diseases of the nervous system, circulatory system, or respiratory system) or unnatural (primarily suicide).
• Investigators age- and sex-matched 4129 individuals with hypochondriasis to 41,290 individuals without hypochondriasis.

TAKEAWAY:

• Individuals with hypochondriasis had an 84% higher risk for all-cause mortality during the study period than those without it (adjusted hazard ratio [aHR], 1.84; 95% CI, 1.60-2.10), including a higher risk for both natural (aHR, 1.60; 95% CI, 1.38-1.85) and unnatural death (aHR, 2.43; 95% CI, 1.61-3.68).
• The majority of individuals with hypochondriasis were diagnosed with at least one additional psychiatric disorder (primarily anxiety-related and depressive disorders) vs the group without hypochondriasis (86% vs 20%, respectively; P < .001).
• The risk for suicide — the most common unnatural cause of death — was four times higher in those with hypochondriasis (aHR, 4.14; 95% CI, 2.44-7.03).
• When investigators limited analyses to include only psychiatric comorbidities recorded before the first diagnosis of hypochondriasis, suicide risk was attenuated but remained statistically significant.

IN PRACTICE:

“Taken together, these findings illustrate a paradox, whereby individuals with hypochondriasis have an increased risk for death despite their pervasive fears of illness and death. In this study, most deaths could be classified as potentially preventable. Dismissing these individuals’ somatic symptoms as imaginary may have dire consequences,” the authors wrote.

SOURCE:

David Mataix-Cols, PhD, of the Karolinska Institutet, Stockholm, Sweden, led the study, which was published online on December 13, 2023, in JAMA Psychiatry.

LIMITATIONS:

Hypochondriasis is thought to be underdiagnosed in Sweden, with only approximately 4000 cases registered within two decades. Study investigators also noted that they did not obtain data from primary care, the setting where the majority of hypochondriasis cases are diagnosed.

DISCLOSURES:

The study was funded by the Swedish Research Council for Health, Working Life and Welfare, Stockholm; the Swedish Society of Medicine, Stockholm; and Karolinska Institutet, Stockholm. Dr. Mataix-Cols reported receiving personal fees from UpToDate Inc. Author disclosures can be found in the original article.

A version of this article appeared on Medscape.com.

TOPLINE:

Hypochondriasis is linked to an 84% higher risk for death for those with the disorder and a fourfold increased risk for suicide, new population-based data show. These findings, investigators noted, suggest the need for more clinical screening and treatment of hypochondriasis, also known as health anxiety disorder.

METHODOLOGY:

• Investigators used several Swedish population-based registers to identify people who received a diagnosis of hypochondriasis between January 1997 and December 2020.
• Each individual diagnosed with hypochondriasis (n = 4129; 2342 women; median 34.5 years at diagnosis) was age- and sex-matched with 10 individuals without the disorder (n = 41,290).
• For those who died during the study period, cause of death was categorized as natural (neoplasms; diseases of the nervous system, circulatory system, or respiratory system) or unnatural (primarily suicide).
• Investigators age- and sex-matched 4129 individuals with hypochondriasis to 41,290 individuals without hypochondriasis.

TAKEAWAY:

• Individuals with hypochondriasis had an 84% higher risk for all-cause mortality during the study period than those without it (adjusted hazard ratio [aHR], 1.84; 95% CI, 1.60-2.10), including a higher risk for both natural (aHR, 1.60; 95% CI, 1.38-1.85) and unnatural death (aHR, 2.43; 95% CI, 1.61-3.68).
• The majority of individuals with hypochondriasis were diagnosed with at least one additional psychiatric disorder (primarily anxiety-related and depressive disorders) vs the group without hypochondriasis (86% vs 20%, respectively; P < .001).
• The risk for suicide — the most common unnatural cause of death — was four times higher in those with hypochondriasis (aHR, 4.14; 95% CI, 2.44-7.03).
• When investigators limited analyses to include only psychiatric comorbidities recorded before the first diagnosis of hypochondriasis, suicide risk was attenuated but remained statistically significant.

IN PRACTICE:

“Taken together, these findings illustrate a paradox, whereby individuals with hypochondriasis have an increased risk for death despite their pervasive fears of illness and death. In this study, most deaths could be classified as potentially preventable. Dismissing these individuals’ somatic symptoms as imaginary may have dire consequences,” the authors wrote.

SOURCE:

David Mataix-Cols, PhD, of the Karolinska Institutet, Stockholm, Sweden, led the study, which was published online on December 13, 2023, in JAMA Psychiatry.

LIMITATIONS:

Hypochondriasis is thought to be underdiagnosed in Sweden, with only approximately 4000 cases registered within two decades. Study investigators also noted that they did not obtain data from primary care, the setting where the majority of hypochondriasis cases are diagnosed.

DISCLOSURES:

The study was funded by the Swedish Research Council for Health, Working Life and Welfare, Stockholm; the Swedish Society of Medicine, Stockholm; and Karolinska Institutet, Stockholm. Dr. Mataix-Cols reported receiving personal fees from UpToDate Inc. Author disclosures can be found in the original article.

A version of this article appeared on Medscape.com.

One dose of synthetic psilocybin in combination with psychotherapy significantly reduces treatment-resistant depression associated with bipolar II disorder (BDII), a small, nonrandomized clinical trial shows. However, the investigators and other outside experts warn these results should not be overinterpreted.

Three weeks after receiving psilocybin and psychotherapy, all 15 participants’ depression scores dropped by an average of 24 points. Twelve met criteria for response and 11 for remission.

This benefit lasted until the 12-week mark, with 12 participants (80%) meeting criteria for both response and remission. There were no reports of mixed or manic symptoms, psychotic symptoms, or suicidal ideation.

Given the study’s small, open-label design, the findings should be interpreted cautiously, but the investigators say the results are promising.

“The results we saw from this trial are encouraging and further support the clinical study of psychedelics in patients with treatment-resistant bipolar II,” lead investigator Scott T. Aaronson, MD, chief science officer of the Institute for Advanced Diagnostics and Therapeutics at Sheppard Pratt Health System in Baltimore, Maryland, remarked in a press release. “One participant compared the transformation she experienced to taking a deep breath after breathing through a straw for years.”

The findings were published online on December 6, 2023, in JAMA Psychiatry.

Underserved Population

Previous studies show that psilocybin is effective in reducing the symptoms of treatment-resistant depression, major depressive disorder, and anorexia nervosa, most with only mild to moderate adverse effects.

Individuals with bipolar disorder (BPD) have been excluded from psilocybin studies in the last two decades. Investigators attribute this to anecdotal evidence that psychedelics may result in manic episodes in patients with BPD, even though empirical evidence of those effects is limited.

This study included 15 participants (9 female; mean age, 37.8 years) with BDII who had experienced an episode for more than 3 months and failed at least two medications within the current episode.

Participants stopped all psychotropic medications at least 2 weeks prior to the trial and received 25 mg of synthetic COMP360 psilocybin in a controlled setting. Psychotherapy included three sessions before dosing, one during the 8-hour dosing day, and three integration sessions posttreatment.

Depression was measured with the Montgomery Ǻsberg Depression Rating Scale (MADRS) at six points during the 12-week study.

By week 3, all 15 participants had lower MADRS scores, with a mean decrease of 24 points (P < .001). Twelve participants met the response criteria of ≥ 50% reduction in MADRS scores, and 11 met the criteria for remission of a MADRS score of ≤ 10 (both P < .001).

MADRS scores at each posttreatment time point were significantly lower than they were at baseline and the improvement persisted at 12 weeks.

Participants were also monitored for mania and suicidality at various time points during the study, and no significant changes were found from baseline.

“As a first open-label foray into this underserved and treatment-resistant population, care should be taken not to overinterpret the findings,” the authors note, adding that the findings may not apply to patients with BDI or BDII in a mixed or hypomanic phase of their illness.

No Definitive Conclusion

In an accompanying editorial, David B. Yaden, PhD, Johns Hopkins University School of Medicine, Baltimore, Maryland, and colleagues write that the findings are “tantalizingly suggestive,” but ultimately say nothing definitive about the efficacy of psilocybin for BDII.

“The danger is that some individuals will see the large (yet uncontrolled) effect size and believe that a new treatment of bipolar II has been discovered that is substantially better than all other treatments, while neglecting to mention the lack of control condition and substantial psychosocial support included in the study,” Dr. Yaden and colleagues wrote.

They also cautioned that due to the study’s limitations, which include its small sample size and lack of a control group, “it is imperative that the large effect size before to after the study is not overinterpreted.”

However, Dr. Yaden and colleagues also characterized the safety data as “compelling,” noting the safety profile could affect exclusion criteria in future studies involving people with BPD.

“The results of the present study provide preliminary evidence that perhaps those with bipolar II can be safely included in study samples without undue risk of triggering hypomanic episodes,” they wrote. “It also suggests re-evaluation of the need to exclude individuals with mere family history of bipolar II, which several studies do.”

The study was funded by COMPASS Pathways, who provided the study drug. Dr. Aaronson reported grants and nonfinancial support (supply of drug) from COMPASS Pathways during the conduct of the study and personal fees from LivaNova, Neuronetics, Genomind, and Sage Therapeutics outside the submitted work. Other disclosures are noted in the original article.
 

A version of this article appeared on Medscape.com.

One dose of synthetic psilocybin in combination with psychotherapy significantly reduces treatment-resistant depression associated with bipolar II disorder (BDII), a small, nonrandomized clinical trial shows. However, the investigators and other outside experts warn these results should not be overinterpreted.

Three weeks after receiving psilocybin and psychotherapy, all 15 participants’ depression scores dropped by an average of 24 points. Twelve met criteria for response and 11 for remission.

This benefit lasted until the 12-week mark, with 12 participants (80%) meeting criteria for both response and remission. There were no reports of mixed or manic symptoms, psychotic symptoms, or suicidal ideation.

Given the study’s small, open-label design, the findings should be interpreted cautiously, but the investigators say the results are promising.

“The results we saw from this trial are encouraging and further support the clinical study of psychedelics in patients with treatment-resistant bipolar II,” lead investigator Scott T. Aaronson, MD, chief science officer of the Institute for Advanced Diagnostics and Therapeutics at Sheppard Pratt Health System in Baltimore, Maryland, remarked in a press release. “One participant compared the transformation she experienced to taking a deep breath after breathing through a straw for years.”

The findings were published online on December 6, 2023, in JAMA Psychiatry.

Underserved Population

Previous studies show that psilocybin is effective in reducing the symptoms of treatment-resistant depression, major depressive disorder, and anorexia nervosa, most with only mild to moderate adverse effects.

Individuals with bipolar disorder (BPD) have been excluded from psilocybin studies in the last two decades. Investigators attribute this to anecdotal evidence that psychedelics may result in manic episodes in patients with BPD, even though empirical evidence of those effects is limited.

This study included 15 participants (9 female; mean age, 37.8 years) with BDII who had experienced an episode for more than 3 months and failed at least two medications within the current episode.

Participants stopped all psychotropic medications at least 2 weeks prior to the trial and received 25 mg of synthetic COMP360 psilocybin in a controlled setting. Psychotherapy included three sessions before dosing, one during the 8-hour dosing day, and three integration sessions posttreatment.

Depression was measured with the Montgomery Ǻsberg Depression Rating Scale (MADRS) at six points during the 12-week study.

By week 3, all 15 participants had lower MADRS scores, with a mean decrease of 24 points (P < .001). Twelve participants met the response criteria of ≥ 50% reduction in MADRS scores, and 11 met the criteria for remission of a MADRS score of ≤ 10 (both P < .001).

MADRS scores at each posttreatment time point were significantly lower than they were at baseline and the improvement persisted at 12 weeks.

Participants were also monitored for mania and suicidality at various time points during the study, and no significant changes were found from baseline.

“As a first open-label foray into this underserved and treatment-resistant population, care should be taken not to overinterpret the findings,” the authors note, adding that the findings may not apply to patients with BDI or BDII in a mixed or hypomanic phase of their illness.

No Definitive Conclusion

In an accompanying editorial, David B. Yaden, PhD, Johns Hopkins University School of Medicine, Baltimore, Maryland, and colleagues write that the findings are “tantalizingly suggestive,” but ultimately say nothing definitive about the efficacy of psilocybin for BDII.

“The danger is that some individuals will see the large (yet uncontrolled) effect size and believe that a new treatment of bipolar II has been discovered that is substantially better than all other treatments, while neglecting to mention the lack of control condition and substantial psychosocial support included in the study,” Dr. Yaden and colleagues wrote.

They also cautioned that due to the study’s limitations, which include its small sample size and lack of a control group, “it is imperative that the large effect size before to after the study is not overinterpreted.”

However, Dr. Yaden and colleagues also characterized the safety data as “compelling,” noting the safety profile could affect exclusion criteria in future studies involving people with BPD.

“The results of the present study provide preliminary evidence that perhaps those with bipolar II can be safely included in study samples without undue risk of triggering hypomanic episodes,” they wrote. “It also suggests re-evaluation of the need to exclude individuals with mere family history of bipolar II, which several studies do.”

The study was funded by COMPASS Pathways, who provided the study drug. Dr. Aaronson reported grants and nonfinancial support (supply of drug) from COMPASS Pathways during the conduct of the study and personal fees from LivaNova, Neuronetics, Genomind, and Sage Therapeutics outside the submitted work. Other disclosures are noted in the original article.
 

A version of this article appeared on Medscape.com.

One dose of synthetic psilocybin in combination with psychotherapy significantly reduces treatment-resistant depression associated with bipolar II disorder (BDII), a small, nonrandomized clinical trial shows. However, the investigators and other outside experts warn these results should not be overinterpreted.

Three weeks after receiving psilocybin and psychotherapy, all 15 participants’ depression scores dropped by an average of 24 points. Twelve met criteria for response and 11 for remission.

This benefit lasted until the 12-week mark, with 12 participants (80%) meeting criteria for both response and remission. There were no reports of mixed or manic symptoms, psychotic symptoms, or suicidal ideation.

Given the study’s small, open-label design, the findings should be interpreted cautiously, but the investigators say the results are promising.

“The results we saw from this trial are encouraging and further support the clinical study of psychedelics in patients with treatment-resistant bipolar II,” lead investigator Scott T. Aaronson, MD, chief science officer of the Institute for Advanced Diagnostics and Therapeutics at Sheppard Pratt Health System in Baltimore, Maryland, remarked in a press release. “One participant compared the transformation she experienced to taking a deep breath after breathing through a straw for years.”

The findings were published online on December 6, 2023, in JAMA Psychiatry.

Underserved Population

Previous studies show that psilocybin is effective in reducing the symptoms of treatment-resistant depression, major depressive disorder, and anorexia nervosa, most with only mild to moderate adverse effects.

Individuals with bipolar disorder (BPD) have been excluded from psilocybin studies in the last two decades. Investigators attribute this to anecdotal evidence that psychedelics may result in manic episodes in patients with BPD, even though empirical evidence of those effects is limited.

This study included 15 participants (9 female; mean age, 37.8 years) with BDII who had experienced an episode for more than 3 months and failed at least two medications within the current episode.

Participants stopped all psychotropic medications at least 2 weeks prior to the trial and received 25 mg of synthetic COMP360 psilocybin in a controlled setting. Psychotherapy included three sessions before dosing, one during the 8-hour dosing day, and three integration sessions posttreatment.

Depression was measured with the Montgomery Ǻsberg Depression Rating Scale (MADRS) at six points during the 12-week study.

By week 3, all 15 participants had lower MADRS scores, with a mean decrease of 24 points (P < .001). Twelve participants met the response criteria of ≥ 50% reduction in MADRS scores, and 11 met the criteria for remission of a MADRS score of ≤ 10 (both P < .001).

MADRS scores at each posttreatment time point were significantly lower than they were at baseline and the improvement persisted at 12 weeks.

Participants were also monitored for mania and suicidality at various time points during the study, and no significant changes were found from baseline.

“As a first open-label foray into this underserved and treatment-resistant population, care should be taken not to overinterpret the findings,” the authors note, adding that the findings may not apply to patients with BDI or BDII in a mixed or hypomanic phase of their illness.

No Definitive Conclusion

In an accompanying editorial, David B. Yaden, PhD, Johns Hopkins University School of Medicine, Baltimore, Maryland, and colleagues write that the findings are “tantalizingly suggestive,” but ultimately say nothing definitive about the efficacy of psilocybin for BDII.

“The danger is that some individuals will see the large (yet uncontrolled) effect size and believe that a new treatment of bipolar II has been discovered that is substantially better than all other treatments, while neglecting to mention the lack of control condition and substantial psychosocial support included in the study,” Dr. Yaden and colleagues wrote.

They also cautioned that due to the study’s limitations, which include its small sample size and lack of a control group, “it is imperative that the large effect size before to after the study is not overinterpreted.”

However, Dr. Yaden and colleagues also characterized the safety data as “compelling,” noting the safety profile could affect exclusion criteria in future studies involving people with BPD.

“The results of the present study provide preliminary evidence that perhaps those with bipolar II can be safely included in study samples without undue risk of triggering hypomanic episodes,” they wrote. “It also suggests re-evaluation of the need to exclude individuals with mere family history of bipolar II, which several studies do.”

The study was funded by COMPASS Pathways, who provided the study drug. Dr. Aaronson reported grants and nonfinancial support (supply of drug) from COMPASS Pathways during the conduct of the study and personal fees from LivaNova, Neuronetics, Genomind, and Sage Therapeutics outside the submitted work. Other disclosures are noted in the original article.
 

A version of this article appeared on Medscape.com.

For the last 30 years, the Center for Women’s Mental Health at Massachusetts General Hospital (MGH) has had as part of its mission, the conveying of accurate information about the reproductive safety of psychiatric medications. There has been a spectrum of medicines developed across psychiatric indications over the last several decades, and many studies over those decades have attempted to delineate the reproductive safety of these agents.

With the development of new antidepressants and second-generation antipsychotics has come an appreciation of the utility of these agents across a wide range of psychiatric disease states and psychiatric symptoms. More and more data demonstrate the efficacy of these medicines for mood and anxiety disorders; these agents are also used for a broad array of symptoms from insomnia, irritability, and symptoms of posttraumatic stress disorder (PTSD) just as examples — even absent formal approval by the US Food and Drug Administration (FDA) for these specific indications. With the growing use of medicines, including new antidepressants like selective serotonin reuptake inhibitors (SSRIs) and serotonin-norepinephrine reuptake inhibitors, and second-generation atypical antipsychotics, there has been a greater interest and appreciation of the need to provide women with the best information about reproductive safety of these medicines as well.

When I began working in reproductive psychiatry, the FDA was using the pregnancy labeling categories introduced in 1979. The categories were simple, but also oversimplified in terms of incompletely conveying information about reproductive safety. For instance, category labels of B and C under the old labeling system could be nebulous, containing sparse information (in the case of category B) or animal data and some conflicting human data (in the case of category C) that may not have translated into relevant or easily interpretable safety information for patients and clinicians.

It was on that basis the current Pregnancy and Lactation Labeling (PLLR) Final Rule was published in 2014, which was a shift from categorical labeling to more descriptive labeling, including updated actual information on the package insert about available reproductive safety data, animal data, and data on lactation.

Even following the publication of the PLLR, there has still been an acknowledgment in the field that our assessment tools for postmarketing reproductive safety surveillance are incomplete. A recent 2-day FDA workshop hosted by the Duke-Margolis Center for Health Policy on optimizing the use of postapproval pregnancy safety studies sought to discuss the many questions that still surround this issue. Based on presentations at this workshop, a framework emerged for the future of assessing the reproductive safety of medications, which included an effort to develop the most effective model using tools such as pregnancy registries and harnessing “big data,” whether through electronic health records or large administrative databases from public and private insurers. Together, these various sources of information can provide signals of potential concern, prompting the need for a more rigorous look at the reproductive safety of a medication, or provide reassurance if data fail to indicate the absence of a signal of risk.

FDA’s new commitments under the latest reauthorization of the Prescription Drug User Fee Act (PDUFA VII) include pregnancy-specific postmarketing safety requirements as well as the creation of a framework for how data from pregnancy-specific postmarketing studies can be used. The agency is also conducting demonstration projects, including one for assessing the performance of pregnancy registries for the potential to detect safety signals for medications early in pregnancy. FDA is expanding its Sentinel Initiative to help accomplish these aims, and is implementing an Active Risk Identification and Analysis (ARIA) system to conduct active safety surveillance of medications used during pregnancy.

Pregnancy registries have now been available for decades, and some have been more successful than others across different classes of medicines, with the most rigorous registries including prospective follow-up of women across pregnancies and careful documentation of malformations (at best with original source data and with a blinded dysmorphologist). Still, with all of its rigor, even the best-intentioned efforts with respect to pregnancy registries have limitations. As I mentioned in my testimony during the public comment portion of the workshop, the sheer volume of pregnancy data from administrative databases we now have access to is attractive, but the quality of these data needs to be good enough to ascertain a signal of risk if they are to be used as a basis for reproductive safety determination.

The flip side of using data from large administrative databases is using carefully collected data from pregnancy registries. With a pregnancy registry, accrual of a substantial number of participants can also take a considerable period of time, and initial risk estimates of outcomes can have typically large confidence intervals, which can make it difficult to discern whether a drug is safe for women of reproductive age.

Another key issue is a lack of participation from manufacturers with respect to commitment to collection of high-quality reproductive safety data. History has shown that many medication manufacturers, unless required to have a dedicated registry as part of a postmarketing requirement or commitment, will invest sparse resources to track data on safety of fetal drug exposure. Participation is typically voluntary and varies from company to company unless, as noted previously, there is a postmarketing requirement or commitment tied to the approval of a medication. Just as a recent concrete example, the manufacturer of a new medication recently approved by the FDA for the treatment of postpartum depression (which will include presumably sexually active women well into the first postpartum year) has no plan to support the collection of reproductive safety data on this new medication because it is not required to, based on current FDA guidelines and the absence of a postmarketing requirement to do so.
 

Looking ahead

While the PLLR was a huge step forward in the field from the old pregnancy category system that could misinform women contemplating pregnancy, it also sets the stage for the next iteration of a system that allows us to generate information more quickly about the reproductive safety of medications. In psychiatry, as many as 10% of women use SSRIs during pregnancy. With drugs like atypical antipsychotics being used across disease states — in schizophrenia, bipolar disorder, depression, anxiety, insomnia, and PTSD — and where new classes of medicine are becoming available, like with ketamine or steroids, we need to have a system by which we can more quickly ascertain reproductive safety information. This information informs treatment decisions during a critical life event of deciding to try to become pregnant or during an actual pregnancy.

In my mind, it is reassuring when a registry has even as few as 50-60 cases of fetal exposure without an increase in the risk for malformation, because it can mean we are not seeing a repeat of the past with medications like thalidomide and sodium valproate. However, patients and clinicians are starved for better data. Risk assessment is also different from clinician to clinician and patient to patient. We want to empower patients to make decisions that work for them based on more rapidly accumulating information and help inform their decisions.

To come out on the “other side” of the PLLR, we will need to find a way to accelerate our ability to identify signals of risk or information that is reassuring (or not reassuring) so that clinicians and patients are not left waiting for the next paper to come out, which can be confusing when study results frequently conflict. I believe we have an obligation today to do this better, because the areas of reproductive toxicology and pharmacovigilance are growing incredibly quickly, and clinicians and patients are seeing these volumes of data being published without the ability to integrate that information in a systematic way.

Dr. Cohen is the director of the Ammon-Pinizzotto Center for Women’s Mental Health at Massachusetts General Hospital (MGH) in Boston, which provides information resources and conducts clinical care and research in reproductive mental health. He has been a consultant to manufacturers of psychiatric medications. Full disclosure information for Dr. Cohen is available at womensmentalhealth.org. Email Dr. Cohen at [email protected].

For the last 30 years, the Center for Women’s Mental Health at Massachusetts General Hospital (MGH) has had as part of its mission, the conveying of accurate information about the reproductive safety of psychiatric medications. There has been a spectrum of medicines developed across psychiatric indications over the last several decades, and many studies over those decades have attempted to delineate the reproductive safety of these agents.

With the development of new antidepressants and second-generation antipsychotics has come an appreciation of the utility of these agents across a wide range of psychiatric disease states and psychiatric symptoms. More and more data demonstrate the efficacy of these medicines for mood and anxiety disorders; these agents are also used for a broad array of symptoms from insomnia, irritability, and symptoms of posttraumatic stress disorder (PTSD) just as examples — even absent formal approval by the US Food and Drug Administration (FDA) for these specific indications. With the growing use of medicines, including new antidepressants like selective serotonin reuptake inhibitors (SSRIs) and serotonin-norepinephrine reuptake inhibitors, and second-generation atypical antipsychotics, there has been a greater interest and appreciation of the need to provide women with the best information about reproductive safety of these medicines as well.

When I began working in reproductive psychiatry, the FDA was using the pregnancy labeling categories introduced in 1979. The categories were simple, but also oversimplified in terms of incompletely conveying information about reproductive safety. For instance, category labels of B and C under the old labeling system could be nebulous, containing sparse information (in the case of category B) or animal data and some conflicting human data (in the case of category C) that may not have translated into relevant or easily interpretable safety information for patients and clinicians.

It was on that basis the current Pregnancy and Lactation Labeling (PLLR) Final Rule was published in 2014, which was a shift from categorical labeling to more descriptive labeling, including updated actual information on the package insert about available reproductive safety data, animal data, and data on lactation.

Even following the publication of the PLLR, there has still been an acknowledgment in the field that our assessment tools for postmarketing reproductive safety surveillance are incomplete. A recent 2-day FDA workshop hosted by the Duke-Margolis Center for Health Policy on optimizing the use of postapproval pregnancy safety studies sought to discuss the many questions that still surround this issue. Based on presentations at this workshop, a framework emerged for the future of assessing the reproductive safety of medications, which included an effort to develop the most effective model using tools such as pregnancy registries and harnessing “big data,” whether through electronic health records or large administrative databases from public and private insurers. Together, these various sources of information can provide signals of potential concern, prompting the need for a more rigorous look at the reproductive safety of a medication, or provide reassurance if data fail to indicate the absence of a signal of risk.

FDA’s new commitments under the latest reauthorization of the Prescription Drug User Fee Act (PDUFA VII) include pregnancy-specific postmarketing safety requirements as well as the creation of a framework for how data from pregnancy-specific postmarketing studies can be used. The agency is also conducting demonstration projects, including one for assessing the performance of pregnancy registries for the potential to detect safety signals for medications early in pregnancy. FDA is expanding its Sentinel Initiative to help accomplish these aims, and is implementing an Active Risk Identification and Analysis (ARIA) system to conduct active safety surveillance of medications used during pregnancy.

Pregnancy registries have now been available for decades, and some have been more successful than others across different classes of medicines, with the most rigorous registries including prospective follow-up of women across pregnancies and careful documentation of malformations (at best with original source data and with a blinded dysmorphologist). Still, with all of its rigor, even the best-intentioned efforts with respect to pregnancy registries have limitations. As I mentioned in my testimony during the public comment portion of the workshop, the sheer volume of pregnancy data from administrative databases we now have access to is attractive, but the quality of these data needs to be good enough to ascertain a signal of risk if they are to be used as a basis for reproductive safety determination.

The flip side of using data from large administrative databases is using carefully collected data from pregnancy registries. With a pregnancy registry, accrual of a substantial number of participants can also take a considerable period of time, and initial risk estimates of outcomes can have typically large confidence intervals, which can make it difficult to discern whether a drug is safe for women of reproductive age.

Another key issue is a lack of participation from manufacturers with respect to commitment to collection of high-quality reproductive safety data. History has shown that many medication manufacturers, unless required to have a dedicated registry as part of a postmarketing requirement or commitment, will invest sparse resources to track data on safety of fetal drug exposure. Participation is typically voluntary and varies from company to company unless, as noted previously, there is a postmarketing requirement or commitment tied to the approval of a medication. Just as a recent concrete example, the manufacturer of a new medication recently approved by the FDA for the treatment of postpartum depression (which will include presumably sexually active women well into the first postpartum year) has no plan to support the collection of reproductive safety data on this new medication because it is not required to, based on current FDA guidelines and the absence of a postmarketing requirement to do so.
 

Looking ahead

While the PLLR was a huge step forward in the field from the old pregnancy category system that could misinform women contemplating pregnancy, it also sets the stage for the next iteration of a system that allows us to generate information more quickly about the reproductive safety of medications. In psychiatry, as many as 10% of women use SSRIs during pregnancy. With drugs like atypical antipsychotics being used across disease states — in schizophrenia, bipolar disorder, depression, anxiety, insomnia, and PTSD — and where new classes of medicine are becoming available, like with ketamine or steroids, we need to have a system by which we can more quickly ascertain reproductive safety information. This information informs treatment decisions during a critical life event of deciding to try to become pregnant or during an actual pregnancy.

In my mind, it is reassuring when a registry has even as few as 50-60 cases of fetal exposure without an increase in the risk for malformation, because it can mean we are not seeing a repeat of the past with medications like thalidomide and sodium valproate. However, patients and clinicians are starved for better data. Risk assessment is also different from clinician to clinician and patient to patient. We want to empower patients to make decisions that work for them based on more rapidly accumulating information and help inform their decisions.

To come out on the “other side” of the PLLR, we will need to find a way to accelerate our ability to identify signals of risk or information that is reassuring (or not reassuring) so that clinicians and patients are not left waiting for the next paper to come out, which can be confusing when study results frequently conflict. I believe we have an obligation today to do this better, because the areas of reproductive toxicology and pharmacovigilance are growing incredibly quickly, and clinicians and patients are seeing these volumes of data being published without the ability to integrate that information in a systematic way.

Dr. Cohen is the director of the Ammon-Pinizzotto Center for Women’s Mental Health at Massachusetts General Hospital (MGH) in Boston, which provides information resources and conducts clinical care and research in reproductive mental health. He has been a consultant to manufacturers of psychiatric medications. Full disclosure information for Dr. Cohen is available at womensmentalhealth.org. Email Dr. Cohen at [email protected].

For the last 30 years, the Center for Women’s Mental Health at Massachusetts General Hospital (MGH) has had as part of its mission, the conveying of accurate information about the reproductive safety of psychiatric medications. There has been a spectrum of medicines developed across psychiatric indications over the last several decades, and many studies over those decades have attempted to delineate the reproductive safety of these agents.

With the development of new antidepressants and second-generation antipsychotics has come an appreciation of the utility of these agents across a wide range of psychiatric disease states and psychiatric symptoms. More and more data demonstrate the efficacy of these medicines for mood and anxiety disorders; these agents are also used for a broad array of symptoms from insomnia, irritability, and symptoms of posttraumatic stress disorder (PTSD) just as examples — even absent formal approval by the US Food and Drug Administration (FDA) for these specific indications. With the growing use of medicines, including new antidepressants like selective serotonin reuptake inhibitors (SSRIs) and serotonin-norepinephrine reuptake inhibitors, and second-generation atypical antipsychotics, there has been a greater interest and appreciation of the need to provide women with the best information about reproductive safety of these medicines as well.

When I began working in reproductive psychiatry, the FDA was using the pregnancy labeling categories introduced in 1979. The categories were simple, but also oversimplified in terms of incompletely conveying information about reproductive safety. For instance, category labels of B and C under the old labeling system could be nebulous, containing sparse information (in the case of category B) or animal data and some conflicting human data (in the case of category C) that may not have translated into relevant or easily interpretable safety information for patients and clinicians.

It was on that basis the current Pregnancy and Lactation Labeling (PLLR) Final Rule was published in 2014, which was a shift from categorical labeling to more descriptive labeling, including updated actual information on the package insert about available reproductive safety data, animal data, and data on lactation.

Even following the publication of the PLLR, there has still been an acknowledgment in the field that our assessment tools for postmarketing reproductive safety surveillance are incomplete. A recent 2-day FDA workshop hosted by the Duke-Margolis Center for Health Policy on optimizing the use of postapproval pregnancy safety studies sought to discuss the many questions that still surround this issue. Based on presentations at this workshop, a framework emerged for the future of assessing the reproductive safety of medications, which included an effort to develop the most effective model using tools such as pregnancy registries and harnessing “big data,” whether through electronic health records or large administrative databases from public and private insurers. Together, these various sources of information can provide signals of potential concern, prompting the need for a more rigorous look at the reproductive safety of a medication, or provide reassurance if data fail to indicate the absence of a signal of risk.

FDA’s new commitments under the latest reauthorization of the Prescription Drug User Fee Act (PDUFA VII) include pregnancy-specific postmarketing safety requirements as well as the creation of a framework for how data from pregnancy-specific postmarketing studies can be used. The agency is also conducting demonstration projects, including one for assessing the performance of pregnancy registries for the potential to detect safety signals for medications early in pregnancy. FDA is expanding its Sentinel Initiative to help accomplish these aims, and is implementing an Active Risk Identification and Analysis (ARIA) system to conduct active safety surveillance of medications used during pregnancy.

Pregnancy registries have now been available for decades, and some have been more successful than others across different classes of medicines, with the most rigorous registries including prospective follow-up of women across pregnancies and careful documentation of malformations (at best with original source data and with a blinded dysmorphologist). Still, with all of its rigor, even the best-intentioned efforts with respect to pregnancy registries have limitations. As I mentioned in my testimony during the public comment portion of the workshop, the sheer volume of pregnancy data from administrative databases we now have access to is attractive, but the quality of these data needs to be good enough to ascertain a signal of risk if they are to be used as a basis for reproductive safety determination.

The flip side of using data from large administrative databases is using carefully collected data from pregnancy registries. With a pregnancy registry, accrual of a substantial number of participants can also take a considerable period of time, and initial risk estimates of outcomes can have typically large confidence intervals, which can make it difficult to discern whether a drug is safe for women of reproductive age.

Another key issue is a lack of participation from manufacturers with respect to commitment to collection of high-quality reproductive safety data. History has shown that many medication manufacturers, unless required to have a dedicated registry as part of a postmarketing requirement or commitment, will invest sparse resources to track data on safety of fetal drug exposure. Participation is typically voluntary and varies from company to company unless, as noted previously, there is a postmarketing requirement or commitment tied to the approval of a medication. Just as a recent concrete example, the manufacturer of a new medication recently approved by the FDA for the treatment of postpartum depression (which will include presumably sexually active women well into the first postpartum year) has no plan to support the collection of reproductive safety data on this new medication because it is not required to, based on current FDA guidelines and the absence of a postmarketing requirement to do so.
 

Looking ahead

While the PLLR was a huge step forward in the field from the old pregnancy category system that could misinform women contemplating pregnancy, it also sets the stage for the next iteration of a system that allows us to generate information more quickly about the reproductive safety of medications. In psychiatry, as many as 10% of women use SSRIs during pregnancy. With drugs like atypical antipsychotics being used across disease states — in schizophrenia, bipolar disorder, depression, anxiety, insomnia, and PTSD — and where new classes of medicine are becoming available, like with ketamine or steroids, we need to have a system by which we can more quickly ascertain reproductive safety information. This information informs treatment decisions during a critical life event of deciding to try to become pregnant or during an actual pregnancy.

In my mind, it is reassuring when a registry has even as few as 50-60 cases of fetal exposure without an increase in the risk for malformation, because it can mean we are not seeing a repeat of the past with medications like thalidomide and sodium valproate. However, patients and clinicians are starved for better data. Risk assessment is also different from clinician to clinician and patient to patient. We want to empower patients to make decisions that work for them based on more rapidly accumulating information and help inform their decisions.

To come out on the “other side” of the PLLR, we will need to find a way to accelerate our ability to identify signals of risk or information that is reassuring (or not reassuring) so that clinicians and patients are not left waiting for the next paper to come out, which can be confusing when study results frequently conflict. I believe we have an obligation today to do this better, because the areas of reproductive toxicology and pharmacovigilance are growing incredibly quickly, and clinicians and patients are seeing these volumes of data being published without the ability to integrate that information in a systematic way.

Dr. Cohen is the director of the Ammon-Pinizzotto Center for Women’s Mental Health at Massachusetts General Hospital (MGH) in Boston, which provides information resources and conducts clinical care and research in reproductive mental health. He has been a consultant to manufacturers of psychiatric medications. Full disclosure information for Dr. Cohen is available at womensmentalhealth.org. Email Dr. Cohen at [email protected].

TOPLINE:

A meta-analysis supports the use of mobile mental health apps, both as a standalone and added to conventional treatment, for adults with moderate to severe depression.

METHODOLOGY:

Mobile mental health apps have proliferated but data on their effectiveness in different patient populations is lacking.

To investigate, researchers conducted a systematic review and meta-analysis of 13 randomized clinical trials assessing treatment efficacy of mobile mental health apps in 1470 adults with moderate to severe depression.

The primary outcome was change in depression symptoms from pre- to post-treatment; secondary outcomes included patient-level factors associated with app efficacy.

TAKEAWAY: 

Mobile app interventions were associated with significantly reduced depressive symptoms vs both active and inactive control groups, with a medium effect size (standardized mean difference [SMD] 0.50).

App interventions delivered for < 8 weeks had a significantly greater effect size than those delivered for 8+ weeks (SMD 0.77 vs 0.43). Apps were more effective in patients not on medication or in therapy. Apps offering rewards or incentives also appeared to be more effective.

Interventions with in-app notifications were associated with significantly lower treatment outcomes (SMD 0.45) than interventions without (SMD 0.45 vs 0.71).

IN PRACTICE:

“The significant treatment efficacy of app-based interventions compared with active and inactive controls suggests the potential of mobile app interventions as an alternative to conventional psychotherapy, with further merits in accessibility, financial affordability, and safety from stigma,” the authors write.

SOURCE:

The study, with first author Hayoung Bae, BA, with Korea University School of Psychology, Seoul, South Korea, was published online November 20 in JAMA Network Open .

LIMITATIONS:

The findings are based on a small number of trials, with significant heterogeneity among the included trials. The analysis included only English-language publications. Using summary data for the subgroup analyses might have prevented a detailed understanding of the moderating associations of individual participant characteristics.

DISCLOSURES:

The study was supported by a grant from the National Research Foundation funded by the Korean government. The authors report no relevant financial relationships.

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

TOPLINE:

A meta-analysis supports the use of mobile mental health apps, both as a standalone and added to conventional treatment, for adults with moderate to severe depression.

METHODOLOGY:

Mobile mental health apps have proliferated but data on their effectiveness in different patient populations is lacking.

To investigate, researchers conducted a systematic review and meta-analysis of 13 randomized clinical trials assessing treatment efficacy of mobile mental health apps in 1470 adults with moderate to severe depression.

The primary outcome was change in depression symptoms from pre- to post-treatment; secondary outcomes included patient-level factors associated with app efficacy.

TAKEAWAY: 

Mobile app interventions were associated with significantly reduced depressive symptoms vs both active and inactive control groups, with a medium effect size (standardized mean difference [SMD] 0.50).

App interventions delivered for < 8 weeks had a significantly greater effect size than those delivered for 8+ weeks (SMD 0.77 vs 0.43). Apps were more effective in patients not on medication or in therapy. Apps offering rewards or incentives also appeared to be more effective.

Interventions with in-app notifications were associated with significantly lower treatment outcomes (SMD 0.45) than interventions without (SMD 0.45 vs 0.71).

IN PRACTICE:

“The significant treatment efficacy of app-based interventions compared with active and inactive controls suggests the potential of mobile app interventions as an alternative to conventional psychotherapy, with further merits in accessibility, financial affordability, and safety from stigma,” the authors write.

SOURCE:

The study, with first author Hayoung Bae, BA, with Korea University School of Psychology, Seoul, South Korea, was published online November 20 in JAMA Network Open .

LIMITATIONS:

The findings are based on a small number of trials, with significant heterogeneity among the included trials. The analysis included only English-language publications. Using summary data for the subgroup analyses might have prevented a detailed understanding of the moderating associations of individual participant characteristics.

DISCLOSURES:

The study was supported by a grant from the National Research Foundation funded by the Korean government. The authors report no relevant financial relationships.

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

TOPLINE:

A meta-analysis supports the use of mobile mental health apps, both as a standalone and added to conventional treatment, for adults with moderate to severe depression.

METHODOLOGY:

Mobile mental health apps have proliferated but data on their effectiveness in different patient populations is lacking.

To investigate, researchers conducted a systematic review and meta-analysis of 13 randomized clinical trials assessing treatment efficacy of mobile mental health apps in 1470 adults with moderate to severe depression.

The primary outcome was change in depression symptoms from pre- to post-treatment; secondary outcomes included patient-level factors associated with app efficacy.

TAKEAWAY: 

Mobile app interventions were associated with significantly reduced depressive symptoms vs both active and inactive control groups, with a medium effect size (standardized mean difference [SMD] 0.50).

App interventions delivered for < 8 weeks had a significantly greater effect size than those delivered for 8+ weeks (SMD 0.77 vs 0.43). Apps were more effective in patients not on medication or in therapy. Apps offering rewards or incentives also appeared to be more effective.

Interventions with in-app notifications were associated with significantly lower treatment outcomes (SMD 0.45) than interventions without (SMD 0.45 vs 0.71).

IN PRACTICE:

“The significant treatment efficacy of app-based interventions compared with active and inactive controls suggests the potential of mobile app interventions as an alternative to conventional psychotherapy, with further merits in accessibility, financial affordability, and safety from stigma,” the authors write.

SOURCE:

The study, with first author Hayoung Bae, BA, with Korea University School of Psychology, Seoul, South Korea, was published online November 20 in JAMA Network Open .

LIMITATIONS:

The findings are based on a small number of trials, with significant heterogeneity among the included trials. The analysis included only English-language publications. Using summary data for the subgroup analyses might have prevented a detailed understanding of the moderating associations of individual participant characteristics.

DISCLOSURES:

The study was supported by a grant from the National Research Foundation funded by the Korean government. The authors report no relevant financial relationships.

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

Isotretinoin users have no increased risk of suicide or psychiatric conditions on a population level, a meta-analysis of 25 studies that included 1.6 million patients suggests.

Instead, those who are treated with the drug for severe acne may have a lower risk of suicide attempts 2-4 years after treatment, wrote the authors, led by Nicole Kye Wen Tan, MBBS, of Yong Loo Lin School of Medicine at the National University of Singapore. The results were published online in JAMA Dermatology.

The analysis showed that the 1-year absolute risk from between two and eight studies of suicide attempts, suicidal ideation, completed suicides, and self-harm were each less than 0.5%. For comparison, the absolute risk of depression was 3.83% (95% confidence interval [CI], 2.45-5.93; I² [measuring heterogeneity] = 77%) in 11 studies.
 

Less likely to attempt suicide

Isotretinoin users were less likely than were nonusers to attempt suicide at 2 years (relative risk [RR], 0.92; 95% CI, 0.84-1.00; I² = 0%); 3 years (RR, 0.86; 95% CI, 0.77-0.95; I2 = 0%); and 4 years (RR, 0.85; 95% CI, 0.72-1.00; I² = 23%) following treatment.

Additionally, isotretinoin was not linked with the risk of “all psychiatric disorders” (RR, 1.08; 95% CI, 0.99-1.19; I² = 0%).

Among the study limitations, the authors noted that because of the widespread claims that isotretinoin can affect mental health, it is plausible that patients at high risk of psychiatric illness were less likely to be treated with isotretinoin in the first place, which could have resulted in underestimating psychiatric risks in the observational studies.
 

“Two things can be true”

John S. Barbieri, MD, MBA, assistant professor at Harvard Medical School and director of the Advanced Acne Therapeutics Clinic at the Brigham and Women’s Hospital in Boston, who was not involved with this research, said the study helps confirm what he and many others have long thought.

Dr. Barbieri

The results of the meta-analysis show that “two things can be true, which often gets lost with isotretinoin,” he said. At a population level, isotretinoin improves mental health but on the individual level, it may cause rare side effects that harm mental health, he added.

In making decisions on the use of isotretinoin, he continued, “we should feel reassured that the likely outcome is improved mental health compared to other alternatives that we have, but at the same time we should be vigilant about monitoring a patient’s mental health while they are being treated with isotretinoin.”

He said that this topic draws extreme views on social media, with people who want the drug off the market and those who discount concerns altogether.

“I think the real answer is a little more in the middle,” he said. “We still have to be thoughtful when we use it.”

Because outcomes such as suicide in patients on isotretinoin are not common, Dr. Barbieri said, smaller studies individually have lacked precision on effect. The size of this meta-analysis helps add confidence in the results, he said.

In addition, this study can help clinicians point to numbers when they talk with their patients about benefits and risks, he said.
 

What a meta-analysis might miss

In an accompanying editorial, Parker Magin, PhD, of the School of Medicine and Public Health, University of Newcastle, Callaghan, New South Wales, Australia, and Shaun Prentice, PhD, of the School of Psychology, Faculty of Health and Medical Sciences at the University of Adelaide, South Australia, wrote that though the work by Tan et al. is “broadly reassuring,” they have concerns about the patients a meta-analysis might miss.

They wrote that other studies have shown evidence both of biological plausibility that isotretinoin may be linked with psychiatric effects and that it may cause these side effects. “One could conclude that it is plausible that isotretinoin has markedly adverse, idiosyncratic psychiatric effects in a small minority of individual patients,” they wrote. “It is also plausible that these presumably rare occurrences are not detectable in studies where the majority of patients experience no adverse psychiatric outcomes or even positive outcomes.”

Far from the “final word”

Dr. Magin and Dr. Prentice pointed out that while the study adds to the literature on his topic, the relationship between acne, psychiatric conditions, and isotretinoin is complex and thus these findings “are far from the final word.”

Randomized, controlled trials have limited use in this area and observational studies are always susceptible to bias, they noted. “Clinicians, though, can take some degree of further reassurance from this extension of the literature around the psychiatric sequelae of isotretinoin,” they wrote.

Senior author Hazel Oon, MD, of the National Skin Centre, Singapore, disclosed ties with AbbVie, Amgen, Boehringer Ingelheim, Eli Lilly, Galderma, Janssen, LEO Pharma, Novartis, and Pfizer. No other author disclosures were reported. Dr. Barbieri is an associate editor at JAMA Dermatology and is cochair of the American Academy of Dermatology Acne Guidelines Work Group.

Isotretinoin users have no increased risk of suicide or psychiatric conditions on a population level, a meta-analysis of 25 studies that included 1.6 million patients suggests.

Instead, those who are treated with the drug for severe acne may have a lower risk of suicide attempts 2-4 years after treatment, wrote the authors, led by Nicole Kye Wen Tan, MBBS, of Yong Loo Lin School of Medicine at the National University of Singapore. The results were published online in JAMA Dermatology.

The analysis showed that the 1-year absolute risk from between two and eight studies of suicide attempts, suicidal ideation, completed suicides, and self-harm were each less than 0.5%. For comparison, the absolute risk of depression was 3.83% (95% confidence interval [CI], 2.45-5.93; I² [measuring heterogeneity] = 77%) in 11 studies.
 

Less likely to attempt suicide

Isotretinoin users were less likely than were nonusers to attempt suicide at 2 years (relative risk [RR], 0.92; 95% CI, 0.84-1.00; I² = 0%); 3 years (RR, 0.86; 95% CI, 0.77-0.95; I2 = 0%); and 4 years (RR, 0.85; 95% CI, 0.72-1.00; I² = 23%) following treatment.

Additionally, isotretinoin was not linked with the risk of “all psychiatric disorders” (RR, 1.08; 95% CI, 0.99-1.19; I² = 0%).

Among the study limitations, the authors noted that because of the widespread claims that isotretinoin can affect mental health, it is plausible that patients at high risk of psychiatric illness were less likely to be treated with isotretinoin in the first place, which could have resulted in underestimating psychiatric risks in the observational studies.
 

“Two things can be true”

John S. Barbieri, MD, MBA, assistant professor at Harvard Medical School and director of the Advanced Acne Therapeutics Clinic at the Brigham and Women’s Hospital in Boston, who was not involved with this research, said the study helps confirm what he and many others have long thought.

Dr. Barbieri

The results of the meta-analysis show that “two things can be true, which often gets lost with isotretinoin,” he said. At a population level, isotretinoin improves mental health but on the individual level, it may cause rare side effects that harm mental health, he added.

In making decisions on the use of isotretinoin, he continued, “we should feel reassured that the likely outcome is improved mental health compared to other alternatives that we have, but at the same time we should be vigilant about monitoring a patient’s mental health while they are being treated with isotretinoin.”

He said that this topic draws extreme views on social media, with people who want the drug off the market and those who discount concerns altogether.

“I think the real answer is a little more in the middle,” he said. “We still have to be thoughtful when we use it.”

Because outcomes such as suicide in patients on isotretinoin are not common, Dr. Barbieri said, smaller studies individually have lacked precision on effect. The size of this meta-analysis helps add confidence in the results, he said.

In addition, this study can help clinicians point to numbers when they talk with their patients about benefits and risks, he said.
 

What a meta-analysis might miss

In an accompanying editorial, Parker Magin, PhD, of the School of Medicine and Public Health, University of Newcastle, Callaghan, New South Wales, Australia, and Shaun Prentice, PhD, of the School of Psychology, Faculty of Health and Medical Sciences at the University of Adelaide, South Australia, wrote that though the work by Tan et al. is “broadly reassuring,” they have concerns about the patients a meta-analysis might miss.

They wrote that other studies have shown evidence both of biological plausibility that isotretinoin may be linked with psychiatric effects and that it may cause these side effects. “One could conclude that it is plausible that isotretinoin has markedly adverse, idiosyncratic psychiatric effects in a small minority of individual patients,” they wrote. “It is also plausible that these presumably rare occurrences are not detectable in studies where the majority of patients experience no adverse psychiatric outcomes or even positive outcomes.”

Far from the “final word”

Dr. Magin and Dr. Prentice pointed out that while the study adds to the literature on his topic, the relationship between acne, psychiatric conditions, and isotretinoin is complex and thus these findings “are far from the final word.”

Randomized, controlled trials have limited use in this area and observational studies are always susceptible to bias, they noted. “Clinicians, though, can take some degree of further reassurance from this extension of the literature around the psychiatric sequelae of isotretinoin,” they wrote.

Senior author Hazel Oon, MD, of the National Skin Centre, Singapore, disclosed ties with AbbVie, Amgen, Boehringer Ingelheim, Eli Lilly, Galderma, Janssen, LEO Pharma, Novartis, and Pfizer. No other author disclosures were reported. Dr. Barbieri is an associate editor at JAMA Dermatology and is cochair of the American Academy of Dermatology Acne Guidelines Work Group.

Isotretinoin users have no increased risk of suicide or psychiatric conditions on a population level, a meta-analysis of 25 studies that included 1.6 million patients suggests.

Instead, those who are treated with the drug for severe acne may have a lower risk of suicide attempts 2-4 years after treatment, wrote the authors, led by Nicole Kye Wen Tan, MBBS, of Yong Loo Lin School of Medicine at the National University of Singapore. The results were published online in JAMA Dermatology.

The analysis showed that the 1-year absolute risk from between two and eight studies of suicide attempts, suicidal ideation, completed suicides, and self-harm were each less than 0.5%. For comparison, the absolute risk of depression was 3.83% (95% confidence interval [CI], 2.45-5.93; I² [measuring heterogeneity] = 77%) in 11 studies.
 

Less likely to attempt suicide

Isotretinoin users were less likely than were nonusers to attempt suicide at 2 years (relative risk [RR], 0.92; 95% CI, 0.84-1.00; I² = 0%); 3 years (RR, 0.86; 95% CI, 0.77-0.95; I2 = 0%); and 4 years (RR, 0.85; 95% CI, 0.72-1.00; I² = 23%) following treatment.

Additionally, isotretinoin was not linked with the risk of “all psychiatric disorders” (RR, 1.08; 95% CI, 0.99-1.19; I² = 0%).

Among the study limitations, the authors noted that because of the widespread claims that isotretinoin can affect mental health, it is plausible that patients at high risk of psychiatric illness were less likely to be treated with isotretinoin in the first place, which could have resulted in underestimating psychiatric risks in the observational studies.
 

“Two things can be true”

John S. Barbieri, MD, MBA, assistant professor at Harvard Medical School and director of the Advanced Acne Therapeutics Clinic at the Brigham and Women’s Hospital in Boston, who was not involved with this research, said the study helps confirm what he and many others have long thought.

Dr. Barbieri

The results of the meta-analysis show that “two things can be true, which often gets lost with isotretinoin,” he said. At a population level, isotretinoin improves mental health but on the individual level, it may cause rare side effects that harm mental health, he added.

In making decisions on the use of isotretinoin, he continued, “we should feel reassured that the likely outcome is improved mental health compared to other alternatives that we have, but at the same time we should be vigilant about monitoring a patient’s mental health while they are being treated with isotretinoin.”

He said that this topic draws extreme views on social media, with people who want the drug off the market and those who discount concerns altogether.

“I think the real answer is a little more in the middle,” he said. “We still have to be thoughtful when we use it.”

Because outcomes such as suicide in patients on isotretinoin are not common, Dr. Barbieri said, smaller studies individually have lacked precision on effect. The size of this meta-analysis helps add confidence in the results, he said.

In addition, this study can help clinicians point to numbers when they talk with their patients about benefits and risks, he said.
 

What a meta-analysis might miss

In an accompanying editorial, Parker Magin, PhD, of the School of Medicine and Public Health, University of Newcastle, Callaghan, New South Wales, Australia, and Shaun Prentice, PhD, of the School of Psychology, Faculty of Health and Medical Sciences at the University of Adelaide, South Australia, wrote that though the work by Tan et al. is “broadly reassuring,” they have concerns about the patients a meta-analysis might miss.

They wrote that other studies have shown evidence both of biological plausibility that isotretinoin may be linked with psychiatric effects and that it may cause these side effects. “One could conclude that it is plausible that isotretinoin has markedly adverse, idiosyncratic psychiatric effects in a small minority of individual patients,” they wrote. “It is also plausible that these presumably rare occurrences are not detectable in studies where the majority of patients experience no adverse psychiatric outcomes or even positive outcomes.”

Far from the “final word”

Dr. Magin and Dr. Prentice pointed out that while the study adds to the literature on his topic, the relationship between acne, psychiatric conditions, and isotretinoin is complex and thus these findings “are far from the final word.”

Randomized, controlled trials have limited use in this area and observational studies are always susceptible to bias, they noted. “Clinicians, though, can take some degree of further reassurance from this extension of the literature around the psychiatric sequelae of isotretinoin,” they wrote.

Senior author Hazel Oon, MD, of the National Skin Centre, Singapore, disclosed ties with AbbVie, Amgen, Boehringer Ingelheim, Eli Lilly, Galderma, Janssen, LEO Pharma, Novartis, and Pfizer. No other author disclosures were reported. Dr. Barbieri is an associate editor at JAMA Dermatology and is cochair of the American Academy of Dermatology Acne Guidelines Work Group.

Pharmacogenomic testing for antidepressants could help reduce the time and cost it takes to find the most effective medication for a patient, according to a new study.

Scientists developed a microsimulation model to evaluate the effectiveness of pharmacogenomic testing for adult patients in British Columbia, with newly diagnosed moderate to severe major depressive disorder (MDD). The model predicted that testing could result in 37% fewer patients developing refractory depression, 15% more time of patients feeling well, and a health system cost-savings of $956 million CAD over 20 years.

“Our study shows that, if pharmacogenomic testing guides the prescription of an effective antidepressant, it can reduce the lengthy trial-and-error process many patients experience and dramatically reduce the financial burden on the health care system,” Shahzad Ghanbarian, PhD, the lead author and a research analyst at the University of British Columbia’s Centre for Clinical Epidemiology and Evaluation, Vancouver, said in an interview.

“The next step should be developing implementation strategies and identifying the most suitable health care professionals to provide pharmacogenomic-guided care,” she said.

The study was published online on in the Canadian Medical Association Journal.
 

Developing a model

The World Health Organization has predicted that depression will be the leading cause of disability worldwide by 2030. However, about half of patients don’t respond to the antidepressant that they are initially prescribed, and more than one-quarter report adverse effects. Previous studies have found that up to 42% of the lack in response stems from genetic factors that affect medication metabolism.

Pharmacogenomic testing, which uses a blood, saliva, or buccal swab sample, could help identify genetic variants involved in drug metabolism and response as well as guide prescribing and reduce adverse effects, the authors wrote.

Dr. Ghanbarian and colleagues developed a microsimulation model in collaboration with patient partners, clinicians, and the health system to evaluate the effectiveness and cost-effectiveness of pharmacogenomic testing for adult patients with MDD in British Columbia. The model included unique patient characteristics, such as metabolizer phenotypes, and followed the experience of patients through diagnosis, treatment, and recurrence.

According to British Columbia administrative data from 2015 to 2020, the model simulated a population of 194,149 adults and incorporated 40 different antidepressants and other treatments, including electroconvulsive therapy (ECT) and psychotherapy. The research team compared treatment pathways for patients with and without pharmacogenomic testing over 20 years.

Overall, the model showed that pharmacogenomic-guided treatment resulted in higher remission rates and lower discontinuation rates, with 23,216 (37%) fewer patients developing refractory depression and decreased use of resource-intensive treatment options such as ECT and psychotherapy (by 28% and 22%, respectively). According to the model, these reductions would save the British Columbia health system $4,926 CAD per patient, or about $56 million CAD over 20 years.

These findings provide a solid economic justification for clinical implementation of pharmacogenomic-guided depression treatment in Canada.

In addition, the model found that patients who underwent pharmacogenomic testing spent 15% more time in the “well” state without depression symptoms and 18% less time in the MDD state with recurrent episodes or refractory depression. In turn, this would mean 1,869 fewer deaths and 21,346 fewer all-cause hospital admissions over 20 years.

Pharmacogenomic testing also led to gains of 0.064 life-years and 0.381 quality-adjusted life-years per patient, or 12,436 life-years and 74,023 QALYs for all of British Columbia over 20 years.

From a cost perspective, the $121 million CAD cost of pharmacogenomic testing and $524 million CAD increase in episodic care were offset by a decrease in the cost of refractory MDD care. In sensitivity analyses, up-front investment in pharmacogenomic testing was typically offset after 2 years through lower direct medical costs, and it was also considered a cost-saving measure from that point forward.

“By incorporating the perspectives of patients with lived and living experience into this model, alongside robust data sets, we were able to carefully simulate the treatment journey of people with major depression,” Dr. Ghanbarian said. “The simulation model is designed to be flexible and could be applied to other jurisdictions beyond British Columbia, where we might expect to see similar benefits, particularly within a comparable Canadian context.”
 

Implementing the model

Now, Dr. Ghanbarian and colleagues are interested in potential implementation strategies at a system-wide level. For now, pharmacogenomic tests aren’t offered through the public health systems across Canada, but patients can pay for them through private companies.

“These findings provide a solid economic justification for clinical implementation of pharmacogenomic-guided depression treatment in Canada,” Chad Bousman, PhD, associate professor of physiology and pharmacology at the University of Calgary (Alta.), said in an interview.

Dr. Bousman, who was not involved with this study, coauthored the Clinical Pharmacogenetics Implementation Consortium guideline for several genotypes and serotonin reuptake inhibitor antidepressants. He and colleagues have also developed and evaluated web-based tools that translate pharmacogenetic data into evidence-based prescribing recommendations.

“The hope is that this work will facilitate investment in the establishment of the necessary infrastructure to ensure Canadians have equitable access to pharmacogenomic testing and ultimately improve mental health outcomes,” he said.

The study was funded by Genome BC, Genome Canada, and Michael Smith Health Research British Columbia. Dr. Ghanbarian and Dr. Bousman reported no relevant financial relationships.

A version of this article appeared on Medscape.com.

Pharmacogenomic testing for antidepressants could help reduce the time and cost it takes to find the most effective medication for a patient, according to a new study.

Scientists developed a microsimulation model to evaluate the effectiveness of pharmacogenomic testing for adult patients in British Columbia, with newly diagnosed moderate to severe major depressive disorder (MDD). The model predicted that testing could result in 37% fewer patients developing refractory depression, 15% more time of patients feeling well, and a health system cost-savings of $956 million CAD over 20 years.

“Our study shows that, if pharmacogenomic testing guides the prescription of an effective antidepressant, it can reduce the lengthy trial-and-error process many patients experience and dramatically reduce the financial burden on the health care system,” Shahzad Ghanbarian, PhD, the lead author and a research analyst at the University of British Columbia’s Centre for Clinical Epidemiology and Evaluation, Vancouver, said in an interview.

“The next step should be developing implementation strategies and identifying the most suitable health care professionals to provide pharmacogenomic-guided care,” she said.

The study was published online on in the Canadian Medical Association Journal.
 

Developing a model

The World Health Organization has predicted that depression will be the leading cause of disability worldwide by 2030. However, about half of patients don’t respond to the antidepressant that they are initially prescribed, and more than one-quarter report adverse effects. Previous studies have found that up to 42% of the lack in response stems from genetic factors that affect medication metabolism.

Pharmacogenomic testing, which uses a blood, saliva, or buccal swab sample, could help identify genetic variants involved in drug metabolism and response as well as guide prescribing and reduce adverse effects, the authors wrote.

Dr. Ghanbarian and colleagues developed a microsimulation model in collaboration with patient partners, clinicians, and the health system to evaluate the effectiveness and cost-effectiveness of pharmacogenomic testing for adult patients with MDD in British Columbia. The model included unique patient characteristics, such as metabolizer phenotypes, and followed the experience of patients through diagnosis, treatment, and recurrence.

According to British Columbia administrative data from 2015 to 2020, the model simulated a population of 194,149 adults and incorporated 40 different antidepressants and other treatments, including electroconvulsive therapy (ECT) and psychotherapy. The research team compared treatment pathways for patients with and without pharmacogenomic testing over 20 years.

Overall, the model showed that pharmacogenomic-guided treatment resulted in higher remission rates and lower discontinuation rates, with 23,216 (37%) fewer patients developing refractory depression and decreased use of resource-intensive treatment options such as ECT and psychotherapy (by 28% and 22%, respectively). According to the model, these reductions would save the British Columbia health system $4,926 CAD per patient, or about $56 million CAD over 20 years.

These findings provide a solid economic justification for clinical implementation of pharmacogenomic-guided depression treatment in Canada.

In addition, the model found that patients who underwent pharmacogenomic testing spent 15% more time in the “well” state without depression symptoms and 18% less time in the MDD state with recurrent episodes or refractory depression. In turn, this would mean 1,869 fewer deaths and 21,346 fewer all-cause hospital admissions over 20 years.

Pharmacogenomic testing also led to gains of 0.064 life-years and 0.381 quality-adjusted life-years per patient, or 12,436 life-years and 74,023 QALYs for all of British Columbia over 20 years.

From a cost perspective, the $121 million CAD cost of pharmacogenomic testing and $524 million CAD increase in episodic care were offset by a decrease in the cost of refractory MDD care. In sensitivity analyses, up-front investment in pharmacogenomic testing was typically offset after 2 years through lower direct medical costs, and it was also considered a cost-saving measure from that point forward.

“By incorporating the perspectives of patients with lived and living experience into this model, alongside robust data sets, we were able to carefully simulate the treatment journey of people with major depression,” Dr. Ghanbarian said. “The simulation model is designed to be flexible and could be applied to other jurisdictions beyond British Columbia, where we might expect to see similar benefits, particularly within a comparable Canadian context.”
 

Implementing the model

Now, Dr. Ghanbarian and colleagues are interested in potential implementation strategies at a system-wide level. For now, pharmacogenomic tests aren’t offered through the public health systems across Canada, but patients can pay for them through private companies.

“These findings provide a solid economic justification for clinical implementation of pharmacogenomic-guided depression treatment in Canada,” Chad Bousman, PhD, associate professor of physiology and pharmacology at the University of Calgary (Alta.), said in an interview.

Dr. Bousman, who was not involved with this study, coauthored the Clinical Pharmacogenetics Implementation Consortium guideline for several genotypes and serotonin reuptake inhibitor antidepressants. He and colleagues have also developed and evaluated web-based tools that translate pharmacogenetic data into evidence-based prescribing recommendations.

“The hope is that this work will facilitate investment in the establishment of the necessary infrastructure to ensure Canadians have equitable access to pharmacogenomic testing and ultimately improve mental health outcomes,” he said.

The study was funded by Genome BC, Genome Canada, and Michael Smith Health Research British Columbia. Dr. Ghanbarian and Dr. Bousman reported no relevant financial relationships.

A version of this article appeared on Medscape.com.

Pharmacogenomic testing for antidepressants could help reduce the time and cost it takes to find the most effective medication for a patient, according to a new study.

Scientists developed a microsimulation model to evaluate the effectiveness of pharmacogenomic testing for adult patients in British Columbia, with newly diagnosed moderate to severe major depressive disorder (MDD). The model predicted that testing could result in 37% fewer patients developing refractory depression, 15% more time of patients feeling well, and a health system cost-savings of $956 million CAD over 20 years.

“Our study shows that, if pharmacogenomic testing guides the prescription of an effective antidepressant, it can reduce the lengthy trial-and-error process many patients experience and dramatically reduce the financial burden on the health care system,” Shahzad Ghanbarian, PhD, the lead author and a research analyst at the University of British Columbia’s Centre for Clinical Epidemiology and Evaluation, Vancouver, said in an interview.

“The next step should be developing implementation strategies and identifying the most suitable health care professionals to provide pharmacogenomic-guided care,” she said.

The study was published online on in the Canadian Medical Association Journal.
 

Developing a model

The World Health Organization has predicted that depression will be the leading cause of disability worldwide by 2030. However, about half of patients don’t respond to the antidepressant that they are initially prescribed, and more than one-quarter report adverse effects. Previous studies have found that up to 42% of the lack in response stems from genetic factors that affect medication metabolism.

Pharmacogenomic testing, which uses a blood, saliva, or buccal swab sample, could help identify genetic variants involved in drug metabolism and response as well as guide prescribing and reduce adverse effects, the authors wrote.

Dr. Ghanbarian and colleagues developed a microsimulation model in collaboration with patient partners, clinicians, and the health system to evaluate the effectiveness and cost-effectiveness of pharmacogenomic testing for adult patients with MDD in British Columbia. The model included unique patient characteristics, such as metabolizer phenotypes, and followed the experience of patients through diagnosis, treatment, and recurrence.

According to British Columbia administrative data from 2015 to 2020, the model simulated a population of 194,149 adults and incorporated 40 different antidepressants and other treatments, including electroconvulsive therapy (ECT) and psychotherapy. The research team compared treatment pathways for patients with and without pharmacogenomic testing over 20 years.

Overall, the model showed that pharmacogenomic-guided treatment resulted in higher remission rates and lower discontinuation rates, with 23,216 (37%) fewer patients developing refractory depression and decreased use of resource-intensive treatment options such as ECT and psychotherapy (by 28% and 22%, respectively). According to the model, these reductions would save the British Columbia health system $4,926 CAD per patient, or about $56 million CAD over 20 years.

These findings provide a solid economic justification for clinical implementation of pharmacogenomic-guided depression treatment in Canada.

In addition, the model found that patients who underwent pharmacogenomic testing spent 15% more time in the “well” state without depression symptoms and 18% less time in the MDD state with recurrent episodes or refractory depression. In turn, this would mean 1,869 fewer deaths and 21,346 fewer all-cause hospital admissions over 20 years.

Pharmacogenomic testing also led to gains of 0.064 life-years and 0.381 quality-adjusted life-years per patient, or 12,436 life-years and 74,023 QALYs for all of British Columbia over 20 years.

From a cost perspective, the $121 million CAD cost of pharmacogenomic testing and $524 million CAD increase in episodic care were offset by a decrease in the cost of refractory MDD care. In sensitivity analyses, up-front investment in pharmacogenomic testing was typically offset after 2 years through lower direct medical costs, and it was also considered a cost-saving measure from that point forward.

“By incorporating the perspectives of patients with lived and living experience into this model, alongside robust data sets, we were able to carefully simulate the treatment journey of people with major depression,” Dr. Ghanbarian said. “The simulation model is designed to be flexible and could be applied to other jurisdictions beyond British Columbia, where we might expect to see similar benefits, particularly within a comparable Canadian context.”
 

Implementing the model

Now, Dr. Ghanbarian and colleagues are interested in potential implementation strategies at a system-wide level. For now, pharmacogenomic tests aren’t offered through the public health systems across Canada, but patients can pay for them through private companies.

“These findings provide a solid economic justification for clinical implementation of pharmacogenomic-guided depression treatment in Canada,” Chad Bousman, PhD, associate professor of physiology and pharmacology at the University of Calgary (Alta.), said in an interview.

Dr. Bousman, who was not involved with this study, coauthored the Clinical Pharmacogenetics Implementation Consortium guideline for several genotypes and serotonin reuptake inhibitor antidepressants. He and colleagues have also developed and evaluated web-based tools that translate pharmacogenetic data into evidence-based prescribing recommendations.

“The hope is that this work will facilitate investment in the establishment of the necessary infrastructure to ensure Canadians have equitable access to pharmacogenomic testing and ultimately improve mental health outcomes,” he said.

The study was funded by Genome BC, Genome Canada, and Michael Smith Health Research British Columbia. Dr. Ghanbarian and Dr. Bousman reported no relevant financial relationships.

A version of this article appeared on Medscape.com.

Maternal depressive symptoms probably start at or before pregnancy, with trajectories that remain stable across the perinatal into the postnatal period, new research suggests.

The analysis of more than 11,000 pregnant women with depressive symptoms from seven prospective cohorts in Canada, the United Kingdom, and Singapore suggests that depressive symptoms (low, mild, or high levels) start sooner and last longer than is commonly thought.

The term “postnatal depression” is “at odds with existing scientific literature and the experience of clinicians who treat mental disorders in the context of obstetric practice,” said Michael J. Meaney, PhD, professor at McGill University, Montreal, and director of the Translational Neuroscience Program at the Agency for Science, Technology and Research (A*STAR), Singapore. 

“Although we anticipated that the prenatal period would be the primary time of onset and that symptom levels would be largely stable, I was nevertheless surprised at how this pattern was so universal across so many studies,” he said in an interview. “In truth, we saw very little evidence for a postnatal onset.”

This suggests that depressive symptoms start earlier than previously thought, and “that the relevant clinical settings for prevention are those treating women in routine health care, including family medicine,” he added.
 

Start screening sooner 

The investigators examined the course and stability of self-reported depressive symptoms at multiple time points across the perinatal period among 11,563 pregnant women in seven cohorts from the United Kingdom, Canada, and Singapore. Participants’ mean age was 29 years; 87.6% were White, 4.9% were East Asian, and 2.6% were Southeast Asian. 

The analysis tracked depressive symptoms from preconception through pregnancy to 2 years after childbirth. Three groups of mothers were identified in each cohort on the basis of their level of depressive symptoms (low, mild, or high) as assessed by the Edinburgh Postnatal Depression Scale (EPDS) or the Center for Epidemiological Studies Depression (CES-D).

The team found that all mothers within and across all cohorts had stable trajectories of maternal depressive symptoms from pregnancy onward. Trajectories for mothers who passed clinically validated cutoffs for “probable” depression also showed stable trajectories from pregnancy into the postnatal period.

“Taken together, these findings suggest that maternal depressive symptom levels in community-based cohort studies are apparent during pregnancy and remain stable into the postnatal period,” the authors write. “The results point to the early antenatal period as a timepoint for the identification of stable trajectories of maternal depressive symptoms. Public health policies should emphasize the early antenatal period as the optimal timing for interventions targeting maternal depressive symptoms.”

The findings, they note, “underscore the American Psychiatric Association’s recent approach in renaming postpartum depression as peripartum depression.”

Furthermore, a recent paper of the group’s findings details that depressive symptoms may often predate conception. 

“Our findings should serve to universally align practice to prenatal screening,” even though depression screening often takes place in a mid-gestational visit during the second trimester, Dr. Meaney said. “Our findings and those on the effects on child development strongly suggest the timing of the screening must be advanced into the first confirmation of pregnancy.” 
 

Depression is likely worse in the United States

Catherine Monk, PhD, chief of the Division of Women’s Mental Health and professor of medical psychology at Columbia University, Vagelos College of Physicians and Surgeons, New York, said in an interview that the results of the study “amplify similar research findings and the experience of most perinatal clinicians: Depression is stable from pregnancy onwards.”

John Abbott/Columbia University

Dr. Monk, who was not involved in the research, said that “as the authors note, the common focus on postpartum depression misses the months of prior suffering and an opportunity for earlier intervention.” Dr. Monk said she would have liked the results to have been examined further by race and ethnicity and socioeconomic factors. “Also, the combined sample does not include a U.S. cohort. This is significant as the U.S. has the highest maternal morbidity and mortality rate of developed nations, and some reports identify mental health factors as the number-one cause of maternal mortality.”

“Given the tremendous economic, racial, and ethnic inequities in health care – the lack of any kind of health justice – it is quite possible that in the U.S., depression that starts in pregnancy worsens over time, at least for some demographic groups,” Dr. Monk said. “Rates of depression, levels of depression, and the course of it during the peripartum period may be even more dire [in the U.S.] than what is represented in this article.” “What should be practice-changing about this article, and so many others demonstrating the persistent and often high levels of life-threatening depression during pregnancy, is the need for mental health providers to advocate for changes to the low rates of insurance reimbursement that push providers away from accepting insurance and into private practice, making access to affordable mental care nearly impossible for most,” she concluded. 

This study was supported by the Singapore Institute for Clinical Sciences, Agency for Science, Technology, and Research; the Toxic Stress Network of the JPB Foundation; the Hope for Depression Research Foundation; and the Jacob’s Foundation. Dr. Meaney and Dr. Monk report no conflicts of interest.

A version of this article appeared on Medscape.com.

Maternal depressive symptoms probably start at or before pregnancy, with trajectories that remain stable across the perinatal into the postnatal period, new research suggests.

The analysis of more than 11,000 pregnant women with depressive symptoms from seven prospective cohorts in Canada, the United Kingdom, and Singapore suggests that depressive symptoms (low, mild, or high levels) start sooner and last longer than is commonly thought.

The term “postnatal depression” is “at odds with existing scientific literature and the experience of clinicians who treat mental disorders in the context of obstetric practice,” said Michael J. Meaney, PhD, professor at McGill University, Montreal, and director of the Translational Neuroscience Program at the Agency for Science, Technology and Research (A*STAR), Singapore. 

“Although we anticipated that the prenatal period would be the primary time of onset and that symptom levels would be largely stable, I was nevertheless surprised at how this pattern was so universal across so many studies,” he said in an interview. “In truth, we saw very little evidence for a postnatal onset.”

This suggests that depressive symptoms start earlier than previously thought, and “that the relevant clinical settings for prevention are those treating women in routine health care, including family medicine,” he added.
 

Start screening sooner 

The investigators examined the course and stability of self-reported depressive symptoms at multiple time points across the perinatal period among 11,563 pregnant women in seven cohorts from the United Kingdom, Canada, and Singapore. Participants’ mean age was 29 years; 87.6% were White, 4.9% were East Asian, and 2.6% were Southeast Asian. 

The analysis tracked depressive symptoms from preconception through pregnancy to 2 years after childbirth. Three groups of mothers were identified in each cohort on the basis of their level of depressive symptoms (low, mild, or high) as assessed by the Edinburgh Postnatal Depression Scale (EPDS) or the Center for Epidemiological Studies Depression (CES-D).

The team found that all mothers within and across all cohorts had stable trajectories of maternal depressive symptoms from pregnancy onward. Trajectories for mothers who passed clinically validated cutoffs for “probable” depression also showed stable trajectories from pregnancy into the postnatal period.

“Taken together, these findings suggest that maternal depressive symptom levels in community-based cohort studies are apparent during pregnancy and remain stable into the postnatal period,” the authors write. “The results point to the early antenatal period as a timepoint for the identification of stable trajectories of maternal depressive symptoms. Public health policies should emphasize the early antenatal period as the optimal timing for interventions targeting maternal depressive symptoms.”

The findings, they note, “underscore the American Psychiatric Association’s recent approach in renaming postpartum depression as peripartum depression.”

Furthermore, a recent paper of the group’s findings details that depressive symptoms may often predate conception. 

“Our findings should serve to universally align practice to prenatal screening,” even though depression screening often takes place in a mid-gestational visit during the second trimester, Dr. Meaney said. “Our findings and those on the effects on child development strongly suggest the timing of the screening must be advanced into the first confirmation of pregnancy.” 
 

Depression is likely worse in the United States

Catherine Monk, PhD, chief of the Division of Women’s Mental Health and professor of medical psychology at Columbia University, Vagelos College of Physicians and Surgeons, New York, said in an interview that the results of the study “amplify similar research findings and the experience of most perinatal clinicians: Depression is stable from pregnancy onwards.”

John Abbott/Columbia University

Dr. Monk, who was not involved in the research, said that “as the authors note, the common focus on postpartum depression misses the months of prior suffering and an opportunity for earlier intervention.” Dr. Monk said she would have liked the results to have been examined further by race and ethnicity and socioeconomic factors. “Also, the combined sample does not include a U.S. cohort. This is significant as the U.S. has the highest maternal morbidity and mortality rate of developed nations, and some reports identify mental health factors as the number-one cause of maternal mortality.”

“Given the tremendous economic, racial, and ethnic inequities in health care – the lack of any kind of health justice – it is quite possible that in the U.S., depression that starts in pregnancy worsens over time, at least for some demographic groups,” Dr. Monk said. “Rates of depression, levels of depression, and the course of it during the peripartum period may be even more dire [in the U.S.] than what is represented in this article.” “What should be practice-changing about this article, and so many others demonstrating the persistent and often high levels of life-threatening depression during pregnancy, is the need for mental health providers to advocate for changes to the low rates of insurance reimbursement that push providers away from accepting insurance and into private practice, making access to affordable mental care nearly impossible for most,” she concluded. 

This study was supported by the Singapore Institute for Clinical Sciences, Agency for Science, Technology, and Research; the Toxic Stress Network of the JPB Foundation; the Hope for Depression Research Foundation; and the Jacob’s Foundation. Dr. Meaney and Dr. Monk report no conflicts of interest.

A version of this article appeared on Medscape.com.

Maternal depressive symptoms probably start at or before pregnancy, with trajectories that remain stable across the perinatal into the postnatal period, new research suggests.

The analysis of more than 11,000 pregnant women with depressive symptoms from seven prospective cohorts in Canada, the United Kingdom, and Singapore suggests that depressive symptoms (low, mild, or high levels) start sooner and last longer than is commonly thought.

The term “postnatal depression” is “at odds with existing scientific literature and the experience of clinicians who treat mental disorders in the context of obstetric practice,” said Michael J. Meaney, PhD, professor at McGill University, Montreal, and director of the Translational Neuroscience Program at the Agency for Science, Technology and Research (A*STAR), Singapore. 

“Although we anticipated that the prenatal period would be the primary time of onset and that symptom levels would be largely stable, I was nevertheless surprised at how this pattern was so universal across so many studies,” he said in an interview. “In truth, we saw very little evidence for a postnatal onset.”

This suggests that depressive symptoms start earlier than previously thought, and “that the relevant clinical settings for prevention are those treating women in routine health care, including family medicine,” he added.
 

Start screening sooner 

The investigators examined the course and stability of self-reported depressive symptoms at multiple time points across the perinatal period among 11,563 pregnant women in seven cohorts from the United Kingdom, Canada, and Singapore. Participants’ mean age was 29 years; 87.6% were White, 4.9% were East Asian, and 2.6% were Southeast Asian. 

The analysis tracked depressive symptoms from preconception through pregnancy to 2 years after childbirth. Three groups of mothers were identified in each cohort on the basis of their level of depressive symptoms (low, mild, or high) as assessed by the Edinburgh Postnatal Depression Scale (EPDS) or the Center for Epidemiological Studies Depression (CES-D).

The team found that all mothers within and across all cohorts had stable trajectories of maternal depressive symptoms from pregnancy onward. Trajectories for mothers who passed clinically validated cutoffs for “probable” depression also showed stable trajectories from pregnancy into the postnatal period.

“Taken together, these findings suggest that maternal depressive symptom levels in community-based cohort studies are apparent during pregnancy and remain stable into the postnatal period,” the authors write. “The results point to the early antenatal period as a timepoint for the identification of stable trajectories of maternal depressive symptoms. Public health policies should emphasize the early antenatal period as the optimal timing for interventions targeting maternal depressive symptoms.”

The findings, they note, “underscore the American Psychiatric Association’s recent approach in renaming postpartum depression as peripartum depression.”

Furthermore, a recent paper of the group’s findings details that depressive symptoms may often predate conception. 

“Our findings should serve to universally align practice to prenatal screening,” even though depression screening often takes place in a mid-gestational visit during the second trimester, Dr. Meaney said. “Our findings and those on the effects on child development strongly suggest the timing of the screening must be advanced into the first confirmation of pregnancy.” 
 

Depression is likely worse in the United States

Catherine Monk, PhD, chief of the Division of Women’s Mental Health and professor of medical psychology at Columbia University, Vagelos College of Physicians and Surgeons, New York, said in an interview that the results of the study “amplify similar research findings and the experience of most perinatal clinicians: Depression is stable from pregnancy onwards.”

John Abbott/Columbia University

Dr. Monk, who was not involved in the research, said that “as the authors note, the common focus on postpartum depression misses the months of prior suffering and an opportunity for earlier intervention.” Dr. Monk said she would have liked the results to have been examined further by race and ethnicity and socioeconomic factors. “Also, the combined sample does not include a U.S. cohort. This is significant as the U.S. has the highest maternal morbidity and mortality rate of developed nations, and some reports identify mental health factors as the number-one cause of maternal mortality.”

“Given the tremendous economic, racial, and ethnic inequities in health care – the lack of any kind of health justice – it is quite possible that in the U.S., depression that starts in pregnancy worsens over time, at least for some demographic groups,” Dr. Monk said. “Rates of depression, levels of depression, and the course of it during the peripartum period may be even more dire [in the U.S.] than what is represented in this article.” “What should be practice-changing about this article, and so many others demonstrating the persistent and often high levels of life-threatening depression during pregnancy, is the need for mental health providers to advocate for changes to the low rates of insurance reimbursement that push providers away from accepting insurance and into private practice, making access to affordable mental care nearly impossible for most,” she concluded. 

This study was supported by the Singapore Institute for Clinical Sciences, Agency for Science, Technology, and Research; the Toxic Stress Network of the JPB Foundation; the Hope for Depression Research Foundation; and the Jacob’s Foundation. Dr. Meaney and Dr. Monk report no conflicts of interest.

A version of this article appeared on Medscape.com.

Mental health conditions are the leading cause of pregnancy-related death in Illinois (40%) and across the United States (21%).^1,2There is increasing recognition in primary care that major depressive disorder (MDD) often co-occurs with other mental health conditions. Funding bodies, such as the Agency for Healthcare Research and Quality³ and the Health Resources and Service Administration,⁴ have spotlights on improving screening and access to care for depression and substance use disorders (SUDs). However, the needs of individuals with multiple mental health conditions still often go unrecognized and unaddressed in perinatal health settings.

The U.S. Preventive Services Task Force recommends that all adults be screened for depression, alcohol use, and drug use, and will be recommending screening for anxiety.^5,6 The American College of Obstetrics and Gynecology recommends screening for perinatal mental health conditions including depression, anxiety, bipolar disorder, acute postpartum psychosis, and suicidality; however, despite these recommendations, screening and treatment for comorbid mental health disorders during pregnancy and the postpartum is not standard practice.⁷

Addressing perinatal mental health is critical because untreated mental health conditions during the perinatal period can cause long-term adverse psychiatric and medical outcomes for the birthing person, the baby, and the family.⁸ This commentary highlights the importance of recognizing and screening for perinatal mental health comorbidities, improving referral rates for mental health treatment, and raising awareness of the importance of addressing rural perinatal mental health.
 

Perinatal mental health comorbidities

Major depressive disorder is the most common mental health condition during the perinatal period⁹ and is often comorbid.^10-12 In “Perinatal mental health in low-income urban and rural patients: The importance of screening for comorbidities,” Craemer et al.¹³ reported that nearly half of the perinatal patients who screened positive for MDD also screened positive for at least one other mental health condition, among them general anxiety disorder (GAD), SUD, posttraumatic stress disorder (PTSD), and suicidality.

Many (9%) of the perinatal patients with MDD had a severe comorbidity profile characterized by four diagnoses – MDD, GAD, SUD, and PTSD. In routine medical care these comorbidities often go undetected even though the risk to mothers and babies increases with more severe mental health symptoms.⁸

The high frequency of perinatal mental health comorbidities Craemer et al.¹³ found demonstrates a compelling need for comorbid mental health screening during the perinatal period, particularly for low-income Black, Hispanic, and rural birthing persons. Positive screens for perinatal mental health disorders may reflect the onset of these disorders in pregnancy or the postpartum, or preexisting disorders that have gone undetected or untreated before pregnancy.

For many patients, the perinatal period is the first time they are screened for any mental health disorder; typically, they are screened solely for depression. Screening alone can have a positive impact on perinatal mental health. In fact, the USPSTF found that programs to screen perinatal patients, with or without treatment-related support, resulted in a 2%-9% absolute reduction in depression prevalence.¹⁴ However, screening for MDD is too infrequent for many reasons, including the logistics of integrating screening into the clinic workflow and limited provider availability, time, and training in mental health.

We recommend screening perinatal patients for mental health comorbidities. This recommendation may seem impractical given the lack of screening tools for comorbid mental health conditions; however, the Computerized Adaptive Test for Mental Health (CAT-MH), the validated tool^15-17 used in this study, is an ideal option. CAT-MH is uniquely capable of screening for MDD, GAD, PTSD, SUD, and suicidality in one platform and is routinely used in diverse settings including the Veterans Administration,¹⁸ foster care,¹⁹ and universities.²⁰ The main limitation of this more comprehensive screening is that it takes about 10 minutes per patient. However, CAT-MH is self-administered and can be done in the waiting room or on a mobile device prior to a clinic visit.

CAT-MH can also be easily integrated into clinical workflow when added to the Electronic Medical Record²¹, and is a more comprehensive tool than existing perinatal depression tools such as the Perinatal Health Questionaire-9 (PHQ-9) and Edinburgh Perinatal Depression Scale (EPDS).²² Another limitation is cost – currently $5.00 per assessment – however, this is less than routine blood work.²³ If CAT-MH is not an option, we recommend a stepped approach of screening for GAD when perinatal patients screen positive for MDD, as this is the most common comorbidity profile. The GAD-7 is a free and widely available tool.²⁴

Barriers to care

In Craemer et al,¹³ nearly two-thirds (64.9%) of perinatal patients with a positive screen did not receive a referral to follow-up care or a medication prescription. These low referral rates may reflect a variety of widely recognized barriers to care, including lack of referral options, provider and/or patient reluctance to pursue referrals, barriers to insurance coverage, or inadequate behavioral health infrastructure to ensure referral and diagnostic follow-up.

Further, rural residing perinatal patients are an underserved population that need more resources and screening. Despite an on-site behavioral specialist at the rural clinic, Craemer et al¹³ found a stark disparity in referral rates: referrals to treatment for a positive diagnosis was over two times less at the rural clinic (23.9%), compared with the urban clinics (51.6%). The most common treatment offered at the rural clinic was a prescription for medication (17.4%), while referral to follow-up care was the most common at the urban clinics (35.5%). Rural areas not only have a shortage of health care providers, but community members seeking mental health care often encounter greater stigma, compared with urban residents.^25,26

These data highlight an unmet need for referrals to treatment for patients in rural communities, particularly in Illinois where the pregnancy-related mortality ratio attributable to mental health conditions is three times greater in rural areas, compared with those residing in urban Cook County (Chicago).² Increasing access and availability to mental health treatment and prevention resources in Illinois, especially in rural areas, is an opportunity to prevent pregnancy-related mortality attributable to mental health conditions.

Overall, there is a critical need for screening for perinatal mental health comorbidities, increased attention to low rates of referral to mental health treatment, and investing in rural perinatal mental health. Addressing perinatal mental health disorders is key to decreasing the burden of maternal mortality, particularly in Illinois.

Ms. Craemer and Ms. Sayah are senior research specialists at the Center for Research on Women & Gender, University of Illinois at Chicago. Dr. Duffecy is a professor of clinical psychiatry at the University of Illinois at Chicago. Dr. Geller is a professor of obstetrics & gynecology and director of the Center for Research on Women & Gender, University of Illinois at Chicago. Dr. Maki is a professor of psychiatry, psychology, and obstetrics & gynecology at the University of Illinois at Chicago.

References

1. Trost S et al. Pregnancy-related deaths: Data from maternal mortality review committees in 36 states, 2017-2019. Atlanta: Centers for Disease Control and Prevention, U.S. Department of Health & Human Services, 2022.

2. Illinois Department of Public Health. Illinois maternal morbidity and mortality report 2016-2017. 2021.

3. AHRQ. Funding opportunities to address opioid and other substance use disorders. Updated 2023.

4. HRSA. Screening and treatment for maternal mental health and substance use disorders.

5. U.S. Preventive Services Task Force. Recommendations for primary care practice. Accessed May 26, 2023.

6. U.S. Preventive Services Task Force. Draft recommendation statement: Anxiety in adults: Screening. 2022.

7. ACOG. Screening and diagnosis of mental health conditions during pregnancy and postpartum. Clinical Practice Guideline. Number 4. 2023 June.

8. Meltzer-Brody S and Stuebe A. The long-term psychiatric and medical prognosis of perinatal mental illness. Best Pract Res Clin Obstet Gynaecol. 2014 Jan. doi: 10.1016/j.bpobgyn.2013.08.009.

9. Van Niel MS and Payne JL. Perinatal depression: A review. Cleve Clin J Med. 2020 May. doi: 10.3949/ccjm.87a.19054.

10. Wisner KL et al. Onset timing, thoughts of self-harm, and diagnoses in postpartum women with screen-positive depression findings. 2013 May. doi: 10.1001/jamapsychiatry.2013.87.

11. Falah-Hassani K et al. The prevalence of antenatal and postnatal co-morbid anxiety and depression: A meta-analysis. Psychol Med. 2017 Sep. doi: 10.1017/S0033291717000617.

12. Pentecost R et al. Scoping review of the associations between perinatal substance use and perinatal depression and anxiety. J Obstet Gynecol Neonatal Nurs. 2021 Jul. doi: 10.1016/j.jogn.2021.02.008.

13. Craemer KA et al. Perinatal mental health in low-income urban and rural patients: The importance of screening for comorbidities. Gen Hosp Psychiatry. 2023 Jul-Aug. doi: 10.1016/j.genhosppsych.2023.05.007.

14. O’Connor E et al. Primary care screening for and treatment of depression in pregnant and postpartum women: Evidence report and systematic review for the U.S. Preventive Services Task Force. JAMA. 2016 Jan 26. doi: 10.1001/jama.2015.18948.

15. Kozhimannil KB et al. Racial and ethnic disparities in postpartum depression care among low-income women. Psychiatr Serv. 2011 Jun. doi: 10.1176/ps.62.6.pss6206_0619.

16. Wenzel ES et al. Depression and anxiety symptoms across pregnancy and the postpartum in low-income Black and Latina women. Arch Womens Ment Health. 2021 Dec. doi: 10.1007/s00737-021-01139-y.

17. Gibbons RD et al. Development of a computerized adaptive substance use disorder scale for screening and measurement: The CAT‐SUD. Addiction. 2020 Jul. doi: 10.1111/add.14938.

18. Brenner LA et al. Validation of a computerized adaptive test suicide scale (CAT-SS) among united states military veterans. PloS One. 2022 Jan 21. doi: 10.1371/journal.pone.0261920.

19. The Center for State Child Welfare Data. Using technology to diagnose and report on behavioral health challenges facing foster youth. 2018.

20. Kim JJ et al. The experience of depression, anxiety, and mania among perinatal women. Arch Womens Ment Health. 2016 Oct. doi: 10.1007/s00737-016-0632-6.

21. Tepper MC et al. Toward population health: Using a learning behavioral health system and measurement-based care to improve access, care, outcomes, and disparities. Community Ment Health J. 2022 Nov. doi: 10.1007/s10597-022-00957-3.

22. Wenzel E et al. Using computerised adaptive tests to screen for perinatal depression in underserved women of colour. Evid Based Ment Health. 2022 Feb. doi: 10.1136/ebmental-2021-300262.

23. Sanger-Katz M. They want it to be secret: How a common blood test can cost $11 or almost $1,000. New York Times. 2019 Apr 19.

24. Spitzer RL et al. A brief measure for assessing generalized anxiety disorder: The GAD-7. Arch Intern Med. 2006 May 22. doi: 10.1001/archinte.166.10.1092.

25. Mollard E et al. An integrative review of postpartum depression in rural US communities. Arch Psychiatr Nurs. 2016 Jun. doi: 10.1016/j.apnu.2015.12.003.

26. Anglim AJ and Radke SM. Rural maternal health care outcomes, drivers, and patient perspectives. Clin Obstet Gynecol. 2022 Dec 1. doi: 10.1097/GRF.0000000000000753.

Mental health conditions are the leading cause of pregnancy-related death in Illinois (40%) and across the United States (21%).^1,2There is increasing recognition in primary care that major depressive disorder (MDD) often co-occurs with other mental health conditions. Funding bodies, such as the Agency for Healthcare Research and Quality³ and the Health Resources and Service Administration,⁴ have spotlights on improving screening and access to care for depression and substance use disorders (SUDs). However, the needs of individuals with multiple mental health conditions still often go unrecognized and unaddressed in perinatal health settings.

The U.S. Preventive Services Task Force recommends that all adults be screened for depression, alcohol use, and drug use, and will be recommending screening for anxiety.^5,6 The American College of Obstetrics and Gynecology recommends screening for perinatal mental health conditions including depression, anxiety, bipolar disorder, acute postpartum psychosis, and suicidality; however, despite these recommendations, screening and treatment for comorbid mental health disorders during pregnancy and the postpartum is not standard practice.⁷

Addressing perinatal mental health is critical because untreated mental health conditions during the perinatal period can cause long-term adverse psychiatric and medical outcomes for the birthing person, the baby, and the family.⁸ This commentary highlights the importance of recognizing and screening for perinatal mental health comorbidities, improving referral rates for mental health treatment, and raising awareness of the importance of addressing rural perinatal mental health.
 

Perinatal mental health comorbidities

Major depressive disorder is the most common mental health condition during the perinatal period⁹ and is often comorbid.^10-12 In “Perinatal mental health in low-income urban and rural patients: The importance of screening for comorbidities,” Craemer et al.¹³ reported that nearly half of the perinatal patients who screened positive for MDD also screened positive for at least one other mental health condition, among them general anxiety disorder (GAD), SUD, posttraumatic stress disorder (PTSD), and suicidality.

Many (9%) of the perinatal patients with MDD had a severe comorbidity profile characterized by four diagnoses – MDD, GAD, SUD, and PTSD. In routine medical care these comorbidities often go undetected even though the risk to mothers and babies increases with more severe mental health symptoms.⁸

The high frequency of perinatal mental health comorbidities Craemer et al.¹³ found demonstrates a compelling need for comorbid mental health screening during the perinatal period, particularly for low-income Black, Hispanic, and rural birthing persons. Positive screens for perinatal mental health disorders may reflect the onset of these disorders in pregnancy or the postpartum, or preexisting disorders that have gone undetected or untreated before pregnancy.

For many patients, the perinatal period is the first time they are screened for any mental health disorder; typically, they are screened solely for depression. Screening alone can have a positive impact on perinatal mental health. In fact, the USPSTF found that programs to screen perinatal patients, with or without treatment-related support, resulted in a 2%-9% absolute reduction in depression prevalence.¹⁴ However, screening for MDD is too infrequent for many reasons, including the logistics of integrating screening into the clinic workflow and limited provider availability, time, and training in mental health.

We recommend screening perinatal patients for mental health comorbidities. This recommendation may seem impractical given the lack of screening tools for comorbid mental health conditions; however, the Computerized Adaptive Test for Mental Health (CAT-MH), the validated tool^15-17 used in this study, is an ideal option. CAT-MH is uniquely capable of screening for MDD, GAD, PTSD, SUD, and suicidality in one platform and is routinely used in diverse settings including the Veterans Administration,¹⁸ foster care,¹⁹ and universities.²⁰ The main limitation of this more comprehensive screening is that it takes about 10 minutes per patient. However, CAT-MH is self-administered and can be done in the waiting room or on a mobile device prior to a clinic visit.

CAT-MH can also be easily integrated into clinical workflow when added to the Electronic Medical Record²¹, and is a more comprehensive tool than existing perinatal depression tools such as the Perinatal Health Questionaire-9 (PHQ-9) and Edinburgh Perinatal Depression Scale (EPDS).²² Another limitation is cost – currently $5.00 per assessment – however, this is less than routine blood work.²³ If CAT-MH is not an option, we recommend a stepped approach of screening for GAD when perinatal patients screen positive for MDD, as this is the most common comorbidity profile. The GAD-7 is a free and widely available tool.²⁴

Barriers to care

In Craemer et al,¹³ nearly two-thirds (64.9%) of perinatal patients with a positive screen did not receive a referral to follow-up care or a medication prescription. These low referral rates may reflect a variety of widely recognized barriers to care, including lack of referral options, provider and/or patient reluctance to pursue referrals, barriers to insurance coverage, or inadequate behavioral health infrastructure to ensure referral and diagnostic follow-up.

Further, rural residing perinatal patients are an underserved population that need more resources and screening. Despite an on-site behavioral specialist at the rural clinic, Craemer et al¹³ found a stark disparity in referral rates: referrals to treatment for a positive diagnosis was over two times less at the rural clinic (23.9%), compared with the urban clinics (51.6%). The most common treatment offered at the rural clinic was a prescription for medication (17.4%), while referral to follow-up care was the most common at the urban clinics (35.5%). Rural areas not only have a shortage of health care providers, but community members seeking mental health care often encounter greater stigma, compared with urban residents.^25,26

These data highlight an unmet need for referrals to treatment for patients in rural communities, particularly in Illinois where the pregnancy-related mortality ratio attributable to mental health conditions is three times greater in rural areas, compared with those residing in urban Cook County (Chicago).² Increasing access and availability to mental health treatment and prevention resources in Illinois, especially in rural areas, is an opportunity to prevent pregnancy-related mortality attributable to mental health conditions.

Overall, there is a critical need for screening for perinatal mental health comorbidities, increased attention to low rates of referral to mental health treatment, and investing in rural perinatal mental health. Addressing perinatal mental health disorders is key to decreasing the burden of maternal mortality, particularly in Illinois.

Ms. Craemer and Ms. Sayah are senior research specialists at the Center for Research on Women & Gender, University of Illinois at Chicago. Dr. Duffecy is a professor of clinical psychiatry at the University of Illinois at Chicago. Dr. Geller is a professor of obstetrics & gynecology and director of the Center for Research on Women & Gender, University of Illinois at Chicago. Dr. Maki is a professor of psychiatry, psychology, and obstetrics & gynecology at the University of Illinois at Chicago.

References

1. Trost S et al. Pregnancy-related deaths: Data from maternal mortality review committees in 36 states, 2017-2019. Atlanta: Centers for Disease Control and Prevention, U.S. Department of Health & Human Services, 2022.

2. Illinois Department of Public Health. Illinois maternal morbidity and mortality report 2016-2017. 2021.

3. AHRQ. Funding opportunities to address opioid and other substance use disorders. Updated 2023.

4. HRSA. Screening and treatment for maternal mental health and substance use disorders.

5. U.S. Preventive Services Task Force. Recommendations for primary care practice. Accessed May 26, 2023.

6. U.S. Preventive Services Task Force. Draft recommendation statement: Anxiety in adults: Screening. 2022.

7. ACOG. Screening and diagnosis of mental health conditions during pregnancy and postpartum. Clinical Practice Guideline. Number 4. 2023 June.

8. Meltzer-Brody S and Stuebe A. The long-term psychiatric and medical prognosis of perinatal mental illness. Best Pract Res Clin Obstet Gynaecol. 2014 Jan. doi: 10.1016/j.bpobgyn.2013.08.009.

9. Van Niel MS and Payne JL. Perinatal depression: A review. Cleve Clin J Med. 2020 May. doi: 10.3949/ccjm.87a.19054.

10. Wisner KL et al. Onset timing, thoughts of self-harm, and diagnoses in postpartum women with screen-positive depression findings. 2013 May. doi: 10.1001/jamapsychiatry.2013.87.

11. Falah-Hassani K et al. The prevalence of antenatal and postnatal co-morbid anxiety and depression: A meta-analysis. Psychol Med. 2017 Sep. doi: 10.1017/S0033291717000617.

12. Pentecost R et al. Scoping review of the associations between perinatal substance use and perinatal depression and anxiety. J Obstet Gynecol Neonatal Nurs. 2021 Jul. doi: 10.1016/j.jogn.2021.02.008.

13. Craemer KA et al. Perinatal mental health in low-income urban and rural patients: The importance of screening for comorbidities. Gen Hosp Psychiatry. 2023 Jul-Aug. doi: 10.1016/j.genhosppsych.2023.05.007.

14. O’Connor E et al. Primary care screening for and treatment of depression in pregnant and postpartum women: Evidence report and systematic review for the U.S. Preventive Services Task Force. JAMA. 2016 Jan 26. doi: 10.1001/jama.2015.18948.

15. Kozhimannil KB et al. Racial and ethnic disparities in postpartum depression care among low-income women. Psychiatr Serv. 2011 Jun. doi: 10.1176/ps.62.6.pss6206_0619.

16. Wenzel ES et al. Depression and anxiety symptoms across pregnancy and the postpartum in low-income Black and Latina women. Arch Womens Ment Health. 2021 Dec. doi: 10.1007/s00737-021-01139-y.

17. Gibbons RD et al. Development of a computerized adaptive substance use disorder scale for screening and measurement: The CAT‐SUD. Addiction. 2020 Jul. doi: 10.1111/add.14938.

18. Brenner LA et al. Validation of a computerized adaptive test suicide scale (CAT-SS) among united states military veterans. PloS One. 2022 Jan 21. doi: 10.1371/journal.pone.0261920.

19. The Center for State Child Welfare Data. Using technology to diagnose and report on behavioral health challenges facing foster youth. 2018.

20. Kim JJ et al. The experience of depression, anxiety, and mania among perinatal women. Arch Womens Ment Health. 2016 Oct. doi: 10.1007/s00737-016-0632-6.

21. Tepper MC et al. Toward population health: Using a learning behavioral health system and measurement-based care to improve access, care, outcomes, and disparities. Community Ment Health J. 2022 Nov. doi: 10.1007/s10597-022-00957-3.

22. Wenzel E et al. Using computerised adaptive tests to screen for perinatal depression in underserved women of colour. Evid Based Ment Health. 2022 Feb. doi: 10.1136/ebmental-2021-300262.

23. Sanger-Katz M. They want it to be secret: How a common blood test can cost $11 or almost $1,000. New York Times. 2019 Apr 19.

24. Spitzer RL et al. A brief measure for assessing generalized anxiety disorder: The GAD-7. Arch Intern Med. 2006 May 22. doi: 10.1001/archinte.166.10.1092.

25. Mollard E et al. An integrative review of postpartum depression in rural US communities. Arch Psychiatr Nurs. 2016 Jun. doi: 10.1016/j.apnu.2015.12.003.

26. Anglim AJ and Radke SM. Rural maternal health care outcomes, drivers, and patient perspectives. Clin Obstet Gynecol. 2022 Dec 1. doi: 10.1097/GRF.0000000000000753.

Mental health conditions are the leading cause of pregnancy-related death in Illinois (40%) and across the United States (21%).^1,2There is increasing recognition in primary care that major depressive disorder (MDD) often co-occurs with other mental health conditions. Funding bodies, such as the Agency for Healthcare Research and Quality³ and the Health Resources and Service Administration,⁴ have spotlights on improving screening and access to care for depression and substance use disorders (SUDs). However, the needs of individuals with multiple mental health conditions still often go unrecognized and unaddressed in perinatal health settings.

The U.S. Preventive Services Task Force recommends that all adults be screened for depression, alcohol use, and drug use, and will be recommending screening for anxiety.^5,6 The American College of Obstetrics and Gynecology recommends screening for perinatal mental health conditions including depression, anxiety, bipolar disorder, acute postpartum psychosis, and suicidality; however, despite these recommendations, screening and treatment for comorbid mental health disorders during pregnancy and the postpartum is not standard practice.⁷

Addressing perinatal mental health is critical because untreated mental health conditions during the perinatal period can cause long-term adverse psychiatric and medical outcomes for the birthing person, the baby, and the family.⁸ This commentary highlights the importance of recognizing and screening for perinatal mental health comorbidities, improving referral rates for mental health treatment, and raising awareness of the importance of addressing rural perinatal mental health.
 

Perinatal mental health comorbidities

Major depressive disorder is the most common mental health condition during the perinatal period⁹ and is often comorbid.^10-12 In “Perinatal mental health in low-income urban and rural patients: The importance of screening for comorbidities,” Craemer et al.¹³ reported that nearly half of the perinatal patients who screened positive for MDD also screened positive for at least one other mental health condition, among them general anxiety disorder (GAD), SUD, posttraumatic stress disorder (PTSD), and suicidality.

Many (9%) of the perinatal patients with MDD had a severe comorbidity profile characterized by four diagnoses – MDD, GAD, SUD, and PTSD. In routine medical care these comorbidities often go undetected even though the risk to mothers and babies increases with more severe mental health symptoms.⁸

The high frequency of perinatal mental health comorbidities Craemer et al.¹³ found demonstrates a compelling need for comorbid mental health screening during the perinatal period, particularly for low-income Black, Hispanic, and rural birthing persons. Positive screens for perinatal mental health disorders may reflect the onset of these disorders in pregnancy or the postpartum, or preexisting disorders that have gone undetected or untreated before pregnancy.

For many patients, the perinatal period is the first time they are screened for any mental health disorder; typically, they are screened solely for depression. Screening alone can have a positive impact on perinatal mental health. In fact, the USPSTF found that programs to screen perinatal patients, with or without treatment-related support, resulted in a 2%-9% absolute reduction in depression prevalence.¹⁴ However, screening for MDD is too infrequent for many reasons, including the logistics of integrating screening into the clinic workflow and limited provider availability, time, and training in mental health.

We recommend screening perinatal patients for mental health comorbidities. This recommendation may seem impractical given the lack of screening tools for comorbid mental health conditions; however, the Computerized Adaptive Test for Mental Health (CAT-MH), the validated tool^15-17 used in this study, is an ideal option. CAT-MH is uniquely capable of screening for MDD, GAD, PTSD, SUD, and suicidality in one platform and is routinely used in diverse settings including the Veterans Administration,¹⁸ foster care,¹⁹ and universities.²⁰ The main limitation of this more comprehensive screening is that it takes about 10 minutes per patient. However, CAT-MH is self-administered and can be done in the waiting room or on a mobile device prior to a clinic visit.

CAT-MH can also be easily integrated into clinical workflow when added to the Electronic Medical Record²¹, and is a more comprehensive tool than existing perinatal depression tools such as the Perinatal Health Questionaire-9 (PHQ-9) and Edinburgh Perinatal Depression Scale (EPDS).²² Another limitation is cost – currently $5.00 per assessment – however, this is less than routine blood work.²³ If CAT-MH is not an option, we recommend a stepped approach of screening for GAD when perinatal patients screen positive for MDD, as this is the most common comorbidity profile. The GAD-7 is a free and widely available tool.²⁴

Barriers to care

In Craemer et al,¹³ nearly two-thirds (64.9%) of perinatal patients with a positive screen did not receive a referral to follow-up care or a medication prescription. These low referral rates may reflect a variety of widely recognized barriers to care, including lack of referral options, provider and/or patient reluctance to pursue referrals, barriers to insurance coverage, or inadequate behavioral health infrastructure to ensure referral and diagnostic follow-up.

Further, rural residing perinatal patients are an underserved population that need more resources and screening. Despite an on-site behavioral specialist at the rural clinic, Craemer et al¹³ found a stark disparity in referral rates: referrals to treatment for a positive diagnosis was over two times less at the rural clinic (23.9%), compared with the urban clinics (51.6%). The most common treatment offered at the rural clinic was a prescription for medication (17.4%), while referral to follow-up care was the most common at the urban clinics (35.5%). Rural areas not only have a shortage of health care providers, but community members seeking mental health care often encounter greater stigma, compared with urban residents.^25,26

These data highlight an unmet need for referrals to treatment for patients in rural communities, particularly in Illinois where the pregnancy-related mortality ratio attributable to mental health conditions is three times greater in rural areas, compared with those residing in urban Cook County (Chicago).² Increasing access and availability to mental health treatment and prevention resources in Illinois, especially in rural areas, is an opportunity to prevent pregnancy-related mortality attributable to mental health conditions.

Overall, there is a critical need for screening for perinatal mental health comorbidities, increased attention to low rates of referral to mental health treatment, and investing in rural perinatal mental health. Addressing perinatal mental health disorders is key to decreasing the burden of maternal mortality, particularly in Illinois.

Ms. Craemer and Ms. Sayah are senior research specialists at the Center for Research on Women & Gender, University of Illinois at Chicago. Dr. Duffecy is a professor of clinical psychiatry at the University of Illinois at Chicago. Dr. Geller is a professor of obstetrics & gynecology and director of the Center for Research on Women & Gender, University of Illinois at Chicago. Dr. Maki is a professor of psychiatry, psychology, and obstetrics & gynecology at the University of Illinois at Chicago.

References

1. Trost S et al. Pregnancy-related deaths: Data from maternal mortality review committees in 36 states, 2017-2019. Atlanta: Centers for Disease Control and Prevention, U.S. Department of Health & Human Services, 2022.

2. Illinois Department of Public Health. Illinois maternal morbidity and mortality report 2016-2017. 2021.

3. AHRQ. Funding opportunities to address opioid and other substance use disorders. Updated 2023.

4. HRSA. Screening and treatment for maternal mental health and substance use disorders.

5. U.S. Preventive Services Task Force. Recommendations for primary care practice. Accessed May 26, 2023.

6. U.S. Preventive Services Task Force. Draft recommendation statement: Anxiety in adults: Screening. 2022.

7. ACOG. Screening and diagnosis of mental health conditions during pregnancy and postpartum. Clinical Practice Guideline. Number 4. 2023 June.

8. Meltzer-Brody S and Stuebe A. The long-term psychiatric and medical prognosis of perinatal mental illness. Best Pract Res Clin Obstet Gynaecol. 2014 Jan. doi: 10.1016/j.bpobgyn.2013.08.009.

9. Van Niel MS and Payne JL. Perinatal depression: A review. Cleve Clin J Med. 2020 May. doi: 10.3949/ccjm.87a.19054.

10. Wisner KL et al. Onset timing, thoughts of self-harm, and diagnoses in postpartum women with screen-positive depression findings. 2013 May. doi: 10.1001/jamapsychiatry.2013.87.

11. Falah-Hassani K et al. The prevalence of antenatal and postnatal co-morbid anxiety and depression: A meta-analysis. Psychol Med. 2017 Sep. doi: 10.1017/S0033291717000617.

12. Pentecost R et al. Scoping review of the associations between perinatal substance use and perinatal depression and anxiety. J Obstet Gynecol Neonatal Nurs. 2021 Jul. doi: 10.1016/j.jogn.2021.02.008.

13. Craemer KA et al. Perinatal mental health in low-income urban and rural patients: The importance of screening for comorbidities. Gen Hosp Psychiatry. 2023 Jul-Aug. doi: 10.1016/j.genhosppsych.2023.05.007.

14. O’Connor E et al. Primary care screening for and treatment of depression in pregnant and postpartum women: Evidence report and systematic review for the U.S. Preventive Services Task Force. JAMA. 2016 Jan 26. doi: 10.1001/jama.2015.18948.

15. Kozhimannil KB et al. Racial and ethnic disparities in postpartum depression care among low-income women. Psychiatr Serv. 2011 Jun. doi: 10.1176/ps.62.6.pss6206_0619.

16. Wenzel ES et al. Depression and anxiety symptoms across pregnancy and the postpartum in low-income Black and Latina women. Arch Womens Ment Health. 2021 Dec. doi: 10.1007/s00737-021-01139-y.

17. Gibbons RD et al. Development of a computerized adaptive substance use disorder scale for screening and measurement: The CAT‐SUD. Addiction. 2020 Jul. doi: 10.1111/add.14938.

18. Brenner LA et al. Validation of a computerized adaptive test suicide scale (CAT-SS) among united states military veterans. PloS One. 2022 Jan 21. doi: 10.1371/journal.pone.0261920.

19. The Center for State Child Welfare Data. Using technology to diagnose and report on behavioral health challenges facing foster youth. 2018.

20. Kim JJ et al. The experience of depression, anxiety, and mania among perinatal women. Arch Womens Ment Health. 2016 Oct. doi: 10.1007/s00737-016-0632-6.

21. Tepper MC et al. Toward population health: Using a learning behavioral health system and measurement-based care to improve access, care, outcomes, and disparities. Community Ment Health J. 2022 Nov. doi: 10.1007/s10597-022-00957-3.

22. Wenzel E et al. Using computerised adaptive tests to screen for perinatal depression in underserved women of colour. Evid Based Ment Health. 2022 Feb. doi: 10.1136/ebmental-2021-300262.

23. Sanger-Katz M. They want it to be secret: How a common blood test can cost $11 or almost $1,000. New York Times. 2019 Apr 19.

24. Spitzer RL et al. A brief measure for assessing generalized anxiety disorder: The GAD-7. Arch Intern Med. 2006 May 22. doi: 10.1001/archinte.166.10.1092.

25. Mollard E et al. An integrative review of postpartum depression in rural US communities. Arch Psychiatr Nurs. 2016 Jun. doi: 10.1016/j.apnu.2015.12.003.

26. Anglim AJ and Radke SM. Rural maternal health care outcomes, drivers, and patient perspectives. Clin Obstet Gynecol. 2022 Dec 1. doi: 10.1097/GRF.0000000000000753.

TOPLINE:

Treatment with two naturally occurring psychedelics was associated with reduced depressive and anxiety symptoms in trauma-exposed U.S. Special Operations Forces Veterans (SOFVs), according to a new study. Perhaps most surprising to investigators, however, was that treatment was also associated with improved cognitive scores in the veterans, many of whom had traumatic brain injuries.

METHODOLOGY:

• Investigators reviewed clinical charts of 86 SOFVs who received psychedelic-assisted treatment at a therapeutic program in Mexico, 86% of whom sustained head injuries during deployment.
• On the first day of the study, participants received a single oral dose (10 mg/kg) of ibogaine hydrochloride in a group setting with two to five other attendees and spent the next day reflecting on their experience with program staff.
• On the third day, participants inhaled 5-MeO-DMT in three incremental doses for a total of 50 mg and were then invited to reflect on their experience both individually and with the group of peers who shared the experience.
• Follow-up surveys at 1, 3, and 6 months posttreatment between September 2019 to March 2021 measured symptoms of posttraumatic stress disorder, cognitive functioning, generalized anxiety disorder, depression, and quality of life.

TAKEAWAY:

• There were significant improvements in self-reported PTSD symptoms, depression, anxiety, insomnia severity, anger, and a large improvement in self-reported satisfaction with life (P < .001 for all).
• Participants reported significant increases in psychological flexibility (P < .001), cognitive functioning (P < .001), and postconcussive symptoms (P < .001).
• Treatment was also associated with a significant reduction in suicidal ideation from pretreatment to 1-month follow-up (P < .01).

IN PRACTICE:

“If consistently replicated, this could have major implications for the landscape of mental health care if people are able to experience significant and sustained healing with 3 days of intensive treatment, relative to our traditionally available interventions that require 8-12 weeks of weekly therapy (for example, gold standard talk therapies such as [prolonged exposure] or [cognitive processing therapy]), or daily use of a pharmacotherapy such as [a selective serotonin reuptake inhibitor] for months to years,” study authors write.

SOURCE:

Alan Kooi Davis, PhD, of the Center for Psychedelic Drug Research and Education at Ohio State University, led the study, which was published online  in the American Journal of Drug and Alcohol Abuse.

LIMITATIONS:

Study assessments are based solely on self-report measures. Future research should implement carefully designed batteries that include both self-report and gold-standard clinician-administered measures to better capture symptom improvement and other information. The sample also lacked diversity with regard to race, religion, and socioeconomic status.

DISCLOSURES:

The study was funded by Veterans Exploring Treatment Solutions. Dr. Davis is a board member at Source Resource Foundation and a lead trainer at Fluence. Full disclosures are included in the original article.

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

TOPLINE:

Treatment with two naturally occurring psychedelics was associated with reduced depressive and anxiety symptoms in trauma-exposed U.S. Special Operations Forces Veterans (SOFVs), according to a new study. Perhaps most surprising to investigators, however, was that treatment was also associated with improved cognitive scores in the veterans, many of whom had traumatic brain injuries.

METHODOLOGY:

• Investigators reviewed clinical charts of 86 SOFVs who received psychedelic-assisted treatment at a therapeutic program in Mexico, 86% of whom sustained head injuries during deployment.
• On the first day of the study, participants received a single oral dose (10 mg/kg) of ibogaine hydrochloride in a group setting with two to five other attendees and spent the next day reflecting on their experience with program staff.
• On the third day, participants inhaled 5-MeO-DMT in three incremental doses for a total of 50 mg and were then invited to reflect on their experience both individually and with the group of peers who shared the experience.
• Follow-up surveys at 1, 3, and 6 months posttreatment between September 2019 to March 2021 measured symptoms of posttraumatic stress disorder, cognitive functioning, generalized anxiety disorder, depression, and quality of life.

TAKEAWAY:

• There were significant improvements in self-reported PTSD symptoms, depression, anxiety, insomnia severity, anger, and a large improvement in self-reported satisfaction with life (P < .001 for all).
• Participants reported significant increases in psychological flexibility (P < .001), cognitive functioning (P < .001), and postconcussive symptoms (P < .001).
• Treatment was also associated with a significant reduction in suicidal ideation from pretreatment to 1-month follow-up (P < .01).

IN PRACTICE:

“If consistently replicated, this could have major implications for the landscape of mental health care if people are able to experience significant and sustained healing with 3 days of intensive treatment, relative to our traditionally available interventions that require 8-12 weeks of weekly therapy (for example, gold standard talk therapies such as [prolonged exposure] or [cognitive processing therapy]), or daily use of a pharmacotherapy such as [a selective serotonin reuptake inhibitor] for months to years,” study authors write.

SOURCE:

Alan Kooi Davis, PhD, of the Center for Psychedelic Drug Research and Education at Ohio State University, led the study, which was published online  in the American Journal of Drug and Alcohol Abuse.

LIMITATIONS:

Study assessments are based solely on self-report measures. Future research should implement carefully designed batteries that include both self-report and gold-standard clinician-administered measures to better capture symptom improvement and other information. The sample also lacked diversity with regard to race, religion, and socioeconomic status.

DISCLOSURES:

The study was funded by Veterans Exploring Treatment Solutions. Dr. Davis is a board member at Source Resource Foundation and a lead trainer at Fluence. Full disclosures are included in the original article.

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

TOPLINE:

Treatment with two naturally occurring psychedelics was associated with reduced depressive and anxiety symptoms in trauma-exposed U.S. Special Operations Forces Veterans (SOFVs), according to a new study. Perhaps most surprising to investigators, however, was that treatment was also associated with improved cognitive scores in the veterans, many of whom had traumatic brain injuries.

METHODOLOGY:

• Investigators reviewed clinical charts of 86 SOFVs who received psychedelic-assisted treatment at a therapeutic program in Mexico, 86% of whom sustained head injuries during deployment.
• On the first day of the study, participants received a single oral dose (10 mg/kg) of ibogaine hydrochloride in a group setting with two to five other attendees and spent the next day reflecting on their experience with program staff.
• On the third day, participants inhaled 5-MeO-DMT in three incremental doses for a total of 50 mg and were then invited to reflect on their experience both individually and with the group of peers who shared the experience.
• Follow-up surveys at 1, 3, and 6 months posttreatment between September 2019 to March 2021 measured symptoms of posttraumatic stress disorder, cognitive functioning, generalized anxiety disorder, depression, and quality of life.

TAKEAWAY:

• There were significant improvements in self-reported PTSD symptoms, depression, anxiety, insomnia severity, anger, and a large improvement in self-reported satisfaction with life (P < .001 for all).
• Participants reported significant increases in psychological flexibility (P < .001), cognitive functioning (P < .001), and postconcussive symptoms (P < .001).
• Treatment was also associated with a significant reduction in suicidal ideation from pretreatment to 1-month follow-up (P < .01).

IN PRACTICE:

“If consistently replicated, this could have major implications for the landscape of mental health care if people are able to experience significant and sustained healing with 3 days of intensive treatment, relative to our traditionally available interventions that require 8-12 weeks of weekly therapy (for example, gold standard talk therapies such as [prolonged exposure] or [cognitive processing therapy]), or daily use of a pharmacotherapy such as [a selective serotonin reuptake inhibitor] for months to years,” study authors write.

SOURCE:

Alan Kooi Davis, PhD, of the Center for Psychedelic Drug Research and Education at Ohio State University, led the study, which was published online  in the American Journal of Drug and Alcohol Abuse.

LIMITATIONS:

Study assessments are based solely on self-report measures. Future research should implement carefully designed batteries that include both self-report and gold-standard clinician-administered measures to better capture symptom improvement and other information. The sample also lacked diversity with regard to race, religion, and socioeconomic status.

DISCLOSURES:

The study was funded by Veterans Exploring Treatment Solutions. Dr. Davis is a board member at Source Resource Foundation and a lead trainer at Fluence. Full disclosures are included in the original article.

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

TOPLINE:

New research suggests that long-term exposure to air pollution during and after pregnancy increases the risk of postpartum depression (PPD), adding to prior research linking air pollution to mental health issues.

METHODOLOGY:

• Researchers analyzed data on 340,679 women who had singleton live births at Kaiser Permanente Southern California facilities between 2008 and 2016.
• Ambient air pollution exposures were assessed based on maternal residential addresses using monthly averages of particulate matter ≤ 2.5 mcm (PM_2.5), PM ≤ 10 mcm (PM₁₀), nitrogen dioxide, and ozone from Environmental Protection Agency monitoring stations.
• Constituents of PM_2.5 (sulfate, nitrate, ammonium, organic matter, and black carbon) were obtained from models based on satellite, ground-based monitor, and chemical transport modeling data.
• Women with an Edinburgh Postnatal Depression Scale score of at least 10 during the first 6 months postpartum were referred for further assessment, including diagnosis and treatment.

TAKEAWAY:

• A total of 25,674 women had PPD (7.5%).
• Positive associations were observed between PPD ozone (adjusted odds ratio, 1.09), PM₁₀ (aOR, 1.02), and PM_2.5 (aOR, 1.02), with no statistically significant association with nitrogen dioxide.
• Among PM_2.5 constituents, black carbon had the strongest association with PPD (OR 1.04).
• Overall, a higher risk of PPD was associated with ozone exposure during the entire pregnancy and postpartum periods and with PM exposure during the late pregnancy and postpartum periods.

IN PRACTICE:

“These findings suggest that long-term antepartum and postpartum air pollution exposure is a potentially modifiable environmental risk factor for PPD and an important public health issue to address for improved maternal mental health,” the authors wrote.

SOURCE:

The study, with first author Yi Sun, PhD, Chinese Academy of Medical Sciences and Peking Medical College, Beijing, was published online in JAMA Network Open.

LIMITATIONS:

Postpartum exposures were estimated using only maternal address at delivery, which may have led to exposure misclassification. Potential exposure misclassifications may also exist since indoor and personal exposure levels could not be estimated. Although several covariates were adjusted for, some residual or unmeasured covariates were inevitable due to data unavailability, such as psychiatric history, adverse life events, and marital status, which may affect mental health.

DISCLOSURES:

This study was supported by a grant from the National Institute of Environmental Health Sciences. The authors report no relevant financial relationships.

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

TOPLINE:

New research suggests that long-term exposure to air pollution during and after pregnancy increases the risk of postpartum depression (PPD), adding to prior research linking air pollution to mental health issues.

METHODOLOGY:

• Researchers analyzed data on 340,679 women who had singleton live births at Kaiser Permanente Southern California facilities between 2008 and 2016.
• Ambient air pollution exposures were assessed based on maternal residential addresses using monthly averages of particulate matter ≤ 2.5 mcm (PM_2.5), PM ≤ 10 mcm (PM₁₀), nitrogen dioxide, and ozone from Environmental Protection Agency monitoring stations.
• Constituents of PM_2.5 (sulfate, nitrate, ammonium, organic matter, and black carbon) were obtained from models based on satellite, ground-based monitor, and chemical transport modeling data.
• Women with an Edinburgh Postnatal Depression Scale score of at least 10 during the first 6 months postpartum were referred for further assessment, including diagnosis and treatment.

TAKEAWAY:

• A total of 25,674 women had PPD (7.5%).
• Positive associations were observed between PPD ozone (adjusted odds ratio, 1.09), PM₁₀ (aOR, 1.02), and PM_2.5 (aOR, 1.02), with no statistically significant association with nitrogen dioxide.
• Among PM_2.5 constituents, black carbon had the strongest association with PPD (OR 1.04).
• Overall, a higher risk of PPD was associated with ozone exposure during the entire pregnancy and postpartum periods and with PM exposure during the late pregnancy and postpartum periods.

IN PRACTICE:

“These findings suggest that long-term antepartum and postpartum air pollution exposure is a potentially modifiable environmental risk factor for PPD and an important public health issue to address for improved maternal mental health,” the authors wrote.

SOURCE:

The study, with first author Yi Sun, PhD, Chinese Academy of Medical Sciences and Peking Medical College, Beijing, was published online in JAMA Network Open.

LIMITATIONS:

Postpartum exposures were estimated using only maternal address at delivery, which may have led to exposure misclassification. Potential exposure misclassifications may also exist since indoor and personal exposure levels could not be estimated. Although several covariates were adjusted for, some residual or unmeasured covariates were inevitable due to data unavailability, such as psychiatric history, adverse life events, and marital status, which may affect mental health.

DISCLOSURES:

This study was supported by a grant from the National Institute of Environmental Health Sciences. The authors report no relevant financial relationships.

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

TOPLINE:

New research suggests that long-term exposure to air pollution during and after pregnancy increases the risk of postpartum depression (PPD), adding to prior research linking air pollution to mental health issues.

METHODOLOGY:

• Researchers analyzed data on 340,679 women who had singleton live births at Kaiser Permanente Southern California facilities between 2008 and 2016.
• Ambient air pollution exposures were assessed based on maternal residential addresses using monthly averages of particulate matter ≤ 2.5 mcm (PM_2.5), PM ≤ 10 mcm (PM₁₀), nitrogen dioxide, and ozone from Environmental Protection Agency monitoring stations.
• Constituents of PM_2.5 (sulfate, nitrate, ammonium, organic matter, and black carbon) were obtained from models based on satellite, ground-based monitor, and chemical transport modeling data.
• Women with an Edinburgh Postnatal Depression Scale score of at least 10 during the first 6 months postpartum were referred for further assessment, including diagnosis and treatment.

TAKEAWAY:

• A total of 25,674 women had PPD (7.5%).
• Positive associations were observed between PPD ozone (adjusted odds ratio, 1.09), PM₁₀ (aOR, 1.02), and PM_2.5 (aOR, 1.02), with no statistically significant association with nitrogen dioxide.
• Among PM_2.5 constituents, black carbon had the strongest association with PPD (OR 1.04).
• Overall, a higher risk of PPD was associated with ozone exposure during the entire pregnancy and postpartum periods and with PM exposure during the late pregnancy and postpartum periods.

IN PRACTICE:

“These findings suggest that long-term antepartum and postpartum air pollution exposure is a potentially modifiable environmental risk factor for PPD and an important public health issue to address for improved maternal mental health,” the authors wrote.

SOURCE:

The study, with first author Yi Sun, PhD, Chinese Academy of Medical Sciences and Peking Medical College, Beijing, was published online in JAMA Network Open.

LIMITATIONS:

Postpartum exposures were estimated using only maternal address at delivery, which may have led to exposure misclassification. Potential exposure misclassifications may also exist since indoor and personal exposure levels could not be estimated. Although several covariates were adjusted for, some residual or unmeasured covariates were inevitable due to data unavailability, such as psychiatric history, adverse life events, and marital status, which may affect mental health.

DISCLOSURES:

This study was supported by a grant from the National Institute of Environmental Health Sciences. The authors report no relevant financial relationships.

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