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Background In this secondary analysis of the VA Augmentation and Switching Treatments for Improving Depression Outcomes (VAST‐D) study we used antidepressant response trajectories to assess the association of treatment and multiple clinical/demographic factors with the probability of response. Methods Using data from VAST‐D, a multi‐site, randomized, single‐blind trial with parallel‐assignment to one of three treatment interventions in 1522 Veterans whose major depressive disorder was unresponsive to at least one antidepressant trial, we evaluated response patterns using group‐based trajectory modeling (GBTM). A weighted multinomial logistic regression analysis with backward elimination and additional exploratory analyses were performed to evaluate the association of multiple clinical/demographic factors with the probability of inclusion into specific trajectories. Additional exploratory analyses were used to identify factors associated with trajectory group membership that could have been missed in the primary analysis. Results GBTM showed the best fit for depression symptom change was comprised of six trajectories, with some trajectories demonstrating minimal improvement and others showing a high probability of remission. High baseline depression and anxiety severity scores decreased, and early improvement increased, the likelihood of inclusion into the most responsive trajectory in both the GBTM and exploratory analyses. Conclusion While multiple factors influence responsiveness, the probability of inclusion into a specific depression symptom trajectory is most strongly influenced by three factors: baseline depression, baseline anxiety, and the presence of early improvement. Highlights In a large study of U.S. Veterans with moderate to severe depression group‐based trajectory modeling demonstrated six response trajectories as the best fit for depression symptom change over time. A weighted multinomial logistic regression analysis with backward elimination identified multiple factors influencing antidepressant responsiveness, but response trajectories are most strongly influenced by three factors: baseline depression, baseline anxiety, and the presence of early improvement.

Objective. The purpose of the study was to compare suicidal ideation among medical and pharmacy students and characterize related symptoms. Methods. The authors conducted a cross-sectional, retrospective study to compare suicidal ideation among medical and pharmacy students at a single public university during 2009 to 2020. Respondents’ voluntary and anonymous responses to the Interactive Screening Program (ISP) Stress and Depression Questionnaire are reported. Results. The authors analyzed responses from 619 medical and 214 pharmacy students collected over 11 academic years. There was no significant difference between medical and pharmacy students who endorsed suicidal ideation (13.5% vs 17.3%, respectively). The Patient Health Questionnaire-9 (PHQ-9) scores were significantly different between medical and pharmacy students, with more pharmacy students reporting moderate to severe depression (24.3% for medical vs 35.1% for pharmacy). Compared to medical students, more pharmacy students also endorsed anhedonia, a reduced capacity for pleasure (13.4% vs 24.3%, respectively), sleep problems (29.6% vs 42.6%, respectively), and fatigue (46% vs 64.4%, respectively). Pharmacy students also reported more intense affective states such as “feeling your life is too stressful” and “feeling intensely anxious or having anxiety attacks.” Relationships and physical/mental health/substance abuse were common themes that emerged from the qualitative data. Conclusion. While there was no significant difference in suicidal ideation between pharmacy and medical students, the prevalence is alarming compared to the general population. More pharmacy students endorsed symptoms of depression and intense affective states that could impair functioning. Future studies may focus on mitigation strategies for suicidal ideation among health professions students.

Objective. The purpose of the study was to compare suicidal ideation among medical and pharmacy students and characterize related symptoms. Methods. The authors conducted a cross-sectional, retrospective study to compare suicidal ideation among medical and pharmacy students at a single public university during 2009 to 2020. Respondents' voluntary and anonymous responses to the Interactive Screening Program (ISP) Stress and Depression Questionnaire are reported. Results. The authors analyzed responses from 619 medical and 214 pharmacy students collected over 11 academic years. There was no significant difference between medical and pharmacy students who endorsed suicidal ideation (13.5% vs 17.3%, respectively). The Patient Health Questionnaire-9 (PHQ-9) scores were significantly different between medical and pharmacy students, with more pharmacy students reporting moderate to severe depression (24.3% for medical vs 35.1% for pharmacy). Compared to medical students, more pharmacy students also endorsed anhedonia, a reduced capacity for pleasure (13.4% vs 24.3%, respectively), sleep problems (29.6% vs 42.6%, respectively), and fatigue (46% vs 64.4%, respectively). Pharmacy students also reported more intense affective states such as \"feeling your life is too stressful\" and \"feeling intensely anxious or having anxiety attacks.\" Relationships and physical/mental health/substance abuse were common themes that emerged from the qualitative data. Conclusion. While there was no significant difference in suicidal ideation between pharmacy and medical students, the prevalence is alarming compared to the general population. More pharmacy students endorsed symptoms of depression and intense affective states that could impair functioning. Future studies may focus on mitigation strategies for suicidal ideation among health professions students. Keywords: suicidal ideation, pharmacy, medical, students, depression

Major depressive disorder (MDD) contributes to suicide risk. Treating MDD effectively is considered a key suicide prevention intervention. Yet many patients with MDD do not respond to their initial medication and require a 'next-step'. The relationship between next-step treatments and suicidal thoughts and behaviors is uncharted. The VA Augmentation and Switching Treatments for Depression trial randomized 1522 participants to one of three next-step treatments: Switching to Bupropion, combining with Bupropion, and augmenting with Aripiprazole. In this secondary analysis, features associated with lifetime suicidal ideation (SI) and attempts (SA) at baseline and current SI during treatment were explored. Compared to those with SI only, those with lifetime SI + SA were more likely to be female, divorced, or separated, unemployed; and to have experienced more childhood adversity. They had a more severe depressive episode and were more likely to respond to 'next-step' treatment. The prevalence of SI decreased from 46.5% (694/1492) at baseline to 21.1% (315/1492) at end-of-treatment. SI during treatment was associated with baseline SI; low positive mental health, more anxiety, greater severity and longer duration of current MDD episode; being male and White; and treatment with S-BUP or C-BUP as compared to A-ARI. SI declines for most patients during next-step medication treatments. But about 1 in 5 experienced emergent or worsening SI during treatment, so vigilance for suicide risk through the entire 12-week acute treatment period is necessary. Treatment selection may affect the risk of SI.

This analysis of the VAST-D data aimed to explore the utility of using early improvement at 1, 2, 4, and 6 weeks of antidepressant medication treatment (i.e., a drop from baseline depression severity as measured by the QIDS-C) to predict remission, response, or greater than minimal improvement by week 12. Objective:In this secondary analysis of data from the Veterans Affairs Augmentation and Switching Treatments for Improving Depression Outcomes (VAST-D) study, the authors sought to determine the effectiveness of early improvement (or lack thereof) for predicting remission from depression with antidepressant therapy.Methods:This study used data from the VAST-D study, a multisite, randomized, single-blind trial with parallel assignment to one of three medication interventions for 1,522 veterans whose major depressive disorder was unresponsive to at least one course of antidepressant treatment meeting minimal standards for dosage and duration. The authors calculated the positive predictive value (PPV) and negative predictive value (NPV) of early improvement on remission, response, or greater than minimal improvement from depression for various degrees of improvement (10%–50%) on the Quick Inventory of Depressive Symptomatology–Clinician Rated (QIDS-C) at 1, 2, 4, and 6 weeks.Results:The end of week 2 of treatment was identified as the best time to evaluate early improvement. The presence of a ≥20% drop from the baseline QIDS-C score by the end of week 2 resulted in a PPV for remission of 38% and an NPV of 93% by week 12. Extending the observational window to week 6 minimally improved NPV (97%). This association did not differ across treatment groups.Conclusions:A lack of early improvement at the end of week 2 of antidepressant therapy can be used to inform clinical decisions on the likelihood of nonremission of depression during the subsequent 10 weeks, even when dosage optimization is incomplete.