The Feasibility and Efficacy of Warrior Health and Fitness: A 3-Month Fitness and Nutrition Program for Veterans.

INTRODUCTION: Veterans are at risk for mental and physical health problems but may not seek traditional health care services. Wellness-based interventions, including exercise and nutrition, have been associated with improvements in physical and mental health among this population. This study explores the acceptability, feasibility, and efficacy of a 3-month health and fitness program for veterans. MATERIALS AND METHODS: Participants in 2 time-based cohorts from 2019 to 2023 (cohort 1: n = 261; cohort 2: n = 256) were cleared by a physician to participate. Participants then completed a fitness test and self-reported surveys (e.g., quality of life, sleep, and pain) before and after the 3-month program. Participants were recruited to participate at one of three sites: Boston, MA Fort Myers, FL, or Tampa, FL. The 3-month program consisted of weekly, supervised group fitness and one-on-one sessions, nutritional consultations, yoga, and other wellness activities. Primary program outcomes were measured by fitness assessments, self-report surveys, program completion, and program satisfaction. Fitness assessments included measures of weight, body mass index, grip strength, waist to hip ratio, body fat, lean mass, fat mass, heart rate, and blood pressure (BP). Self-report measures included quality of life, depression, loneliness, sleep quality, pain intensity, and pain interference. RESULTS: In cohort 1, significant improvements were found for measures of weight (P = .01), left-handed grip strength (P < .01), body fat percent (P < .01), and quality of life (P < .01). In cohort 2, significant improvements were found for measures of waist:hip ratio (P = .02), right and left-handed grip strength (P < .01), body mass index (P = .02), body fat percent (P < .01), and quality of life (P = .02). For both cohorts, pain intensity (cohort 1: P = .01, cohort 2: P < .001) and pain interference (cohort 1: P = .02, cohort 2: P < .001) increased significantly. CONCLUSIONS: These data suggest that a 3-month health and fitness program for veterans is acceptable and feasible and may improve physical and mental health outcomes. Considerations for program retention and assessment completion are discussed.

Diagnosis and Treatment of Bipolar Disorder: A Review.

Importance: Bipolar disorder affects approximately 8 million adults in the US and approximately 40 million individuals worldwide. Observations: Bipolar disorder is characterized by recurrent episodes of depression and mania or hypomania. Bipolar depressive episodes are similar to major depressive episodes. Manic and hypomanic episodes are characterized by a distinct change in mood and behavior during discrete time periods. The age of onset is usually between 15 and 25 years, and depression is the most frequent initial presentation. Approximately 75% of symptomatic time consists of depressive episodes or symptoms. Early diagnosis and treatment are associated with a more favorable prognosis. Diagnosis and optimal treatment are often delayed by a mean of approximately 9 years following an initial depressive episode. Long-term treatment consists of mood stabilizers, such as lithium, valproate, and lamotrigine. Antipsychotic agents, such as quetiapine, aripiprazole, asenapine, lurasidone, and cariprazine, are recommended, but some are associated with weight gain. Antidepressants are not recommended as monotherapy. More than 50% of patients with bipolar disorder are not adherent to treatment. Life expectancy is reduced by approximately 12 to 14 years in people with bipolar disorder, with a 1.6-fold to 2-fold increase in cardiovascular mortality occurring a mean of 17 years earlier compared with the general population. Prevalence rates of metabolic syndrome (37%), obesity (21%), cigarette smoking (45%), and type 2 diabetes (14%) are higher among people with bipolar disorder, contributing to the risk of early mortality. The annual suicide rate is approximately 0.9% among individuals with bipolar disorder, compared with 0.014% in the general population. Approximately 15% to 20% of people with bipolar disorder die by suicide. Conclusions and Relevance: Bipolar disorder affects approximately 8 million adults in the US. First-line therapy includes mood stabilizers, such as lithium, anticonvulsants, such as valproate and lamotrigine, and atypical antipsychotic drugs, such as quetiapine, aripiprazole, asenapine, lurasidone, and cariprazine.

A New Treatment Program: Focused Integrated Team-based Treatment Program for Bipolar Disorder (FITT-BD).

OBJECTIVE: Bipolar disorder (BD) is complicated by a dynamic, chronic course along with multiple comorbid psychiatric and medical conditions, making it challenging for clinicians to treat and patients to thrive. To efficiently manage the complexity of BD and help patients recover, we developed a Focused Integrated Team-based Treatment Program for Bipolar Disorder (FITT-BD). The purpose of this paper is to describe how we developed this clinic and the lessons we learned. METHODS: We developed FITT-BD by integrating strategies from stepped care, collaborative care, and learning health care systems. We describe the rationale, details, and lessons learned in developing FITT-BD. RESULTS: By integrating stepped care, collaborative care, and a learning health care system approach, FITT-BD aims to reduce barriers to care, leverage the expertise of a multidisciplinary treatment team, ensure patient-centeredness, and use assessments to inform and continuously improve outcomes in real time. We learned that there are challenges in the creation of a web-based application that tracks the treatment of patients within a network of hospitals. CONCLUSIONS: The success of FITT-BD will be determined by the degree to which it can increase treatment access, improve treatment adherence, and help individuals with BD achieve their treatment goals. We expect that FITT-BD will improve outcomes in the context of ongoing clinical care. PUBLIC HEALTH SIGNIFICANCE: The treatment of BD is challenging and complex. We propose a new treatment model for BD: FITT-BD. We expect that this program will be a patient-centered approach that improves outcomes in the context of ongoing clinical care for patients with BD.

Lithium plus antipsychotics or anticonvulsants for bipolar disorder: Comparing clinical response and metabolic changes.

OBJECTIVE: Patients with bipolar disorder treated with lithium often require additional antipsychotics or anticonvulsants. However, the comparative effectiveness and safety of these agents as add-on to lithium has not been studied. METHODS: This secondary analysis combined two similar 24-week trials on outpatients with bipolar disorder randomized to lithium (target serum level 0.4-0.6 mEq/L). Guideline-based adjunctive antipsychotics (Li+AP) and anticonvulsants (Li+AC) could be used if clinically indicated and was assessed at every study visit. Response was measured on the Clinical Global Impression scale and we performed adjusted mixed effects linear regression analyses. Analysis of variance tests compared metabolic measures including a binary diagnosis of metabolic syndrome before and after 24 weeks of treatment. RESULTS: Among 379 outpatients (57% female, mean age 38 years, mean Clinical Global Impression 4.4), users of Li+AP (N = 50, primarily quetiapine and aripiprazole) improved to a similar degree (mean Clinical Global Impression improvement = 1.6, standard deviation = 1.5) as those using lithium-only (i.e. without adjunctive antipsychotics or anticonvulsants, N = 149, mean Clinical Global Impression improvement = 1.7, standard deviation = 1.4) (p = 0.59). Users of Li+AC (N = 107, primarily lamotrigine and valproate, mean Clinical Global Impression improvement = 1.2, standard deviation = 1.3) and users of Li+AP+AC (N = 73, mean Clinical Global Impression improvement = 1.1, standard deviation = 1.3) showed worse response compared to lithium-only users (all p < 0.01). When comparing Li+AP to Li+AC, users of Li+AP improved slightly better on general (p = 0.05) and manic symptoms (p = 0.01), but showed a worse development of glucose, triglycerides, and metabolic syndrome. CONCLUSION: Despite treatment-by-indication confounding, these findings are relevant for real-world treatment settings and emphasize the need for randomized trials on this clinically important topic.

Healthy hearts healthy minds: A randomized trial of online interventions to improve physical activity.

INTRODUCTION: Depressed individuals are more likely to die from cardiovascular disease (CVD) than those without depression. People with CVD have higher rates of depression than those without and have higher mortality rates if they have comorbid depression. While physical activity (PA) improves both, few people engage in enough. We compared self-guided internet-based cognitive behavior therapy (CBT) + Fitbit or mindfulness-based cognitive therapy (MBCT) + Fitbit, with Fitbit only to increase daily steps for participants with depression who have low PA. METHODS: Adult participants (N = 340) were recruited from two online patient-powered research networks and randomized to one of three study interventions for 8 weeks with an additional 8 weeks of follow-up. Using linear mixed effects models, we evaluated the effect of the intervention on average daily steps (NCT03373110). RESULTS: Average daily steps increased 2.8 steps per day in MBCT+Fitbit, 2.9 steps/day in CBT + Fitbit, but decreased 8.2 steps/day in Fitbit Only. These changes were not statistically different between the MBCT+Fitbit and CBT + Fitbit groups, but were different from Fitbit Only across the initial 8-week period. Group differences were not maintained across follow-up. Exploratory analyses identified comorbid anxiety disorders, self-reported PA, and employment status as moderators. DISCUSSION: Changes in daily steps over both 8- and 16-week periods-regardless of intervention group-were minimal. The results emphasize the limits of using self-guided web-based psychotherapy with an activity tracker to increase PA in participants with a history of depression and low PA.

Web-Based Mindfulness-Based Interventions for Well-being: Randomized Comparative Effectiveness Trial.

BACKGROUND: Mindfulness can improve overall well-being by training individuals to focus on the present moment without judging their thoughts. However, it is unknown how much mindfulness practice and training are necessary to improve well-being. OBJECTIVE: The primary aim of this study was to determine whether a standard 8-session web-based mindfulness-based cognitive therapy (MBCT) program, compared with a brief 3-session mindfulness intervention, improved overall participant well-being. In addition, we sought to explore whether the treatment effects differed based on the baseline characteristics of the participants (ie, moderators). METHODS: Participants were recruited from 17 patient-powered research networks, web-based communities of stakeholders interested in a common research area. Participants were randomized to either a standard 8-session MBCT or a brief 3-session mindfulness training intervention accessed on the web. The participants were followed for 12 weeks. The primary outcome of the study was well-being, as measured by the World Health Organization-Five Well-Being Index. We hypothesized that MBCT would be superior to a brief mindfulness training. RESULTS: We randomized 4411 participants, 3873 (87.80%) of whom were White and 3547 (80.41%) of female sex assigned at birth. The mean baseline World Health Organization-Five Well-Being Index score was 50.3 (SD 20.7). The average self-reported well-being in each group increased over the intervention period (baseline to 8 weeks; model-based slope for the MBCT group: 0.78, 95% CI 0.63-0.93, and brief mindfulness group: 0.76, 95% CI 0.60-0.91) as well as the full study period (ie, intervention plus follow-up; baseline to 20 weeks; model-based slope for MBCT group: 0.41, 95% CI 0.34-0.48; and brief mindfulness group: 0.33, 95% CI 0.26-0.40). Changes in self-reported well-being were not significantly different between MBCT and brief mindfulness during the intervention period (model-based difference in slopes: -0.02, 95% CI -0.24 to 0.19; P=.80) or during the intervention period plus 12-week follow-up (-0.08, 95% CI -0.18 to 0.02; P=.10). During the intervention period, younger participants (P=.05) and participants who completed a higher percentage of intervention sessions (P=.005) experienced greater improvements in well-being across both interventions, with effects that were stronger for participants in the MBCT condition. Attrition was high (ie, 2142/4411, 48.56%), which is an important limitation of this study. CONCLUSIONS: Standard MBCT improved well-being but was not superior to a brief mindfulness intervention. This finding suggests that shorter mindfulness programs could yield important benefits across the general population of individuals with various medical conditions. Younger people and participants who completed more intervention sessions reported greater improvements in well-being, an effect that was more pronounced for participants in the MBCT condition. This finding suggests that standard MBCT may be a better choice for younger people as well as treatment-adherent individuals. TRIAL REGISTRATION: ClinicalTrials.gov NCT03844321; https://clinicaltrials.gov/ct2/show/NCT03844321.

The relationship between suicidal thoughts and well-being among individuals with a history of depression and cardiovascular risk.

Prior work demonstrates a relationship between suicidal behavior and mood disorders, as well as between suicidal behavior and cardiovascular risk. When cardiovascular risk and mood disorders co-occur, people with these comorbid conditions tend to experience worse outcomes than people with only one of these conditions. As such, given the relevance of suicidal thoughts and behaviors among those with cardiovascular risk and mood disorders, suicidal thoughts and behaviors may be of particular concern in the comorbid population. However, the factors that differentiate those with or without suicidal thoughts or behaviors are unknown. Self-reported well-being is one factor that is shown to hold a relationship with suicidal risk, and may be relevant in the comorbid population. Thus, we evaluated whether different levels of well-being relate to suicidal thoughts and behaviors among individuals (N = 340) with lifetime mood disorders and cardiovascular risk who participated in a 16-week online exercise study. Participants completed self-report assessments of lifetime (per the MINI International Neuropsychiatric Interview) and current (per the Patient Health Questionnaire-9) suicidal thoughts and behaviors, as well as a self-report assessment of well-being (per the WHO-5 Well-Being Index). We found that individuals with lifetime and current suicidal thinking had lower total WHO-5 scores over the study period. These data suggest that, among those with a history of depression and who have or are at-risk for cardiovascular disease, the risk of current or lifetime suicidal thoughts and behaviors may be increased for those who experience decreased well-being.

Childhood trauma and treatment outcomes during mood-stabilising treatment with lithium or quetiapine among outpatients with bipolar disorder.

BACKGROUND: Childhood trauma affects the course of mood disorders. Researchers are now considering childhood trauma as an influential factor in the treatment of mood disorders. However, the role of childhood trauma in the treatment of bipolar disorder remains understudied. METHODS: The effect of childhood trauma on treatment outcomes was evaluated among participants randomised to treatment with lithium or quetiapine in the Clinical and Health Outcomes Initiatives in Comparative Effectiveness for Bipolar Disorder (Bipolar CHOICE) study by clinician assessment. Mixed effects linear regression models were used to analyse rates of improvement in symptom severity (assessed with the Bipolar Inventory of Symptoms Scale and the Clinical Global Impression Scale for Bipolar Disorder) and functional impairment (assessed with the Longitudinal Interval Follow-up Evaluation-Range of Impaired Functioning Tool). RESULTS: A history of any childhood trauma was reported by 52.7% of the sample (N = 476). Although participants with a history of any childhood trauma presented with greater symptom severity and functional impairment at most study visits, participants with and without a history of any childhood trauma showed similar rates of improvement in symptom severity and functional impairment over the 24 weeks of treatment. CONCLUSION: This is the first study to explore the association between childhood trauma and treatment outcomes during treatment with lithium or quetiapine in the context of a randomised trial. In Bipolar CHOICE, a history of childhood trauma did not inhibit improvement in symptom severity or functional impairment. Nevertheless, these findings need replication across different settings.

Estimating the symptom structure of bipolar disorder via network analysis: Energy dysregulation as a central symptom.

Using network analysis, we estimated the structure of relations among manic and depressive symptoms, respectively, in 486 patients (59% women; age: M = 37, SD = 12.1) with bipolar disorder prior to their entering a clinical trial. We computed three types of networks: (a) Gaussian graphical models (GGMs) depicting regularized partial correlations, (b) regression-based GGMs depicting nonregularized partial correlations, and (c) directed acyclic graphs (DAGs) via a Bayesian hill-climbing algorithm. Low energy and elevated energy were consistently identified as central nodes in the GGMs and as key parent nodes in the DAGs. Across analyses, pessimism about the future and depressed mood were the symptoms most strongly associated with suicidal thoughts and behavior. These exploratory analyses provide rich information about how bipolar disorder symptoms relate to one another, thereby furnishing a foundation for investigating how bipolar disorder symptoms may operate as a causal system. (PsycInfo Database Record (c) 2022 APA, all rights reserved).

Cardiometabolic risk markers during mood-stabilizing treatment: Correlation with drug-specific effects, depressive symptoms and treatment response.

BACKGROUND: Patients with bipolar disorder have higher rates of cardiometabolic comorbidities and mortality. Although guidelines emphasize the importance of cardiovascular monitoring, few studies characterized the cardiometabolic risk profile during treatment and their relation to symptomatology and treatment response. METHODS: We analyzed data from two similar 24-weeks comparative effectiveness trials, with a combined sample of 770 participants randomized to two different lithium doses, quetiapine (300 mg/day), or standard treatment without lithium. Glucose, lipids and vital signs were measured before and after 24 weeks of treatment. We calculated several cardiovascular risk scores, assessed baseline correlations and compared the four treatment arms via multiple linear regression models. RESULTS: Higher cholesterol and LDL levels were associated with greater depression severity, showing differential correlations to specific symptoms, particularly agitation, low energy and suicidality. Those randomized to quetiapine showed a significant worsening of cardiometabolic markers during the 24-week trial. Neither baseline nor change in lipid levels correlated with differential treatment response. LIMITATIONS: Study duration was short from the perspective of cardiometabolic risk markers, and all treatment arms included patients taking adjunct antipsychotics. The trials compared quetiapine to lithium, but not to other medications known to affect similar risk factors. CONCLUSIONS: Treatment with 300 mg/day quetiapine for 24 weeks, representing a short and common dose course, resulted in increased cardiometabolic risk markers, emphasizing the importance of monitoring during mood-stabilizing treatment. The symptom-specific associations are in line with previous studies in unipolar depression, suggesting a cardiometabolic-depression link that needs to be further studied in bipolar depression.

Response and remission rates during 24 weeks of mood-stabilizing treatment for bipolar depression depending on early non-response.

BACKGROUND: We aimed to study the probability of bipolar depression response at 24 weeks given initial non-response. METHODS: We combined two multi-site, 24-week trials including similar populations following the same evidence-based guidelines randomizing patients to lithium or quetiapine. Additional mood-stabilizing treatment was possible if clinically indicated. We report cumulative proportions of response (>50% improvement in MADRS) and remission (MADRS<10). RESULTS: We included 592 participants with bipolar depression (mean 39 years, 59% female, mean MADRS 25). Among 393 (66%) participants without response after 2 weeks, 46% responded by 24 weeks; for 291 (49%) without response at 4 weeks, 40% responded and 33% remitted by 24 weeks; for 222 (38%) without a response at 6 weeks, 36% responded and 29% remitted by 24 weeks; for 185 (31%) without a response at 8 weeks, 29% responded and 24% remitted by 24 weeks. Rates were similar for participants who had started an additional mood-stabilizing drug during the first 6 or 8 weeks. CONCLUSIONS: Among patients with bipolar depression and non-response after 6 weeks treatment, representing an adequate bipolar depression trial, only one-third responded by 24 weeks. These results highlight the need for better treatment alternatives for non-responders to evidence-based treatments for bipolar depression.

Moderators of a resiliency group intervention for frontline clinicians during the COVID-19 pandemic.

BACKGROUND: To mitigate the psychological burdens of COVID-19 for frontline clinicians (FCs), we adapted an existing evidence-based resiliency program, Stress Management and Resilience Training Relaxation Response Program (SMART-3RP), for FCs. This analysis explores moderators of stress coping to determine which subgroups of FCs benefited most from SMART-3RP. METHODS: 102 FCs from Mass General Brigham hospitals engaged in the adapted SMART-3RP. Assessments were completed at group entry (Week 0) and completion (Week 4). The primary outcome was stress coping, and we examined 15 possible baseline moderators. We fit linear mixed effects regression models and assessed potential baseline moderators using a likelihood ratio test. We report model-based estimates and confidence intervals for each moderator-by-time interaction (i.e., differential effect), where positive/negative values indicate more/less improvement in average perceived stress coping. RESULTS: Stress coping improved from Week 0 to Week 4 (mean improvement [95% CI] = 0.9 [0.6 to 1.2]). FCs with higher anxiety (differential effect [95% CI] = 0.3 [0.1 to 0.4]), depression (0.4 [0.2 to 0.6]), and loneliness (0.4 [0.1 to 0.6]), but lower levels of mindfulness (CAMS-Rfocus: 1.0 [0.4 to 1.6]; CAMS-Raccept: 1.3 [0.7 to 2.0]) and self-compassion (0.4, [0.1 to 0.8]) at baseline experienced greater benefits in perceived stress coping from the SMART-3RP. Baseline health uncertainty along with sociodemographic and work characteristics did not moderate stress coping. DISCUSSION: Results highlight particular sub-populations of FCs that may benefit more from a stress management intervention, especially during emergency responses (e.g., COVID-19 pandemic).

Illness stage and predominant polarity in bipolar disorder: Correlation with burden of illness and moderation of treatment outcome.

Bipolar disorder often follows a set progression best described in stages where advanced stages are associated with poorer outcomes. Bipolar disorder is also often characterized by a predominance of episode polarity, where some individuals experience more depressive episodes (termed predominant depressive polarity) while others experience more hypo/manic episodes (termed predominant hypo/manic polarity). We examined the associations between staging and predominant polarity with measures of illness burden and treatment outcome utilizing data from a six-month comparative effectiveness trial of lithium and quetiapine in bipolar disorder (Bipolar CHOICE). We used number of self-reported lifetime mood (depressive and hypo/manic) episodes as a proxy for staging and ratio of depressive to manic episodes to define predominant polarity. Polarity and staging were correlated with several measures of burden of illness. Childhood abuse was correlated with more lifetime mood episodes, while more depressive episodes and depressive polarity were correlated with more anxiety disorder comorbidity. Depressive polarity was also correlated with more past trials of psychotropics, particularly antidepressants. However, neither staging nor predominant polarity moderated the randomized treatment effect of lithium vs. quetiapine. Number of depressive episodes in the past year was identified as a potential predictor of overall worse treatment outcome, regardless of medication condition. In conclusion, though staging and predominant episode polarity correlated with several measures of illness burden, they were not associated with differential treatment outcomes. This could be because many of our patients presented for treatment at advanced stages of illness and further highlights the need for early intervention in bipolar disorder.

An online intervention for increasing physical activity in individuals with mood disorders at risk for cardiovascular disease: Design considerations.

BACKGROUND: Physical activity can mitigate the risk of cardiovascular diseases, but the presence of mood disorders makes it challenging to follow or develop a regular exercise habit. We conducted an online comparative effectiveness study (Healthy Hearts Healthy Minds) to evaluate whether an online psychosocial intervention adjunctive to an activity monitor (Fitbit) can improve adherence to physical activity among individuals with mood disorders who have or are at-risk for cardiovascular disease (CVD). METHODS: In this paper, we explore design considerations (including both procedural challenges and achievements) of relevance to our study. RESULTS: Challenges of this study included navigating a complex IRB review process, integrating two study platforms, automating study procedures, and optimizing participant engagement. Achievements of this study included building trust with collaborators, leveraging existing online communities, generating daily data reports, and conducting patient-centered research. LIMITATIONS: These design considerations are based on a single online comparative effectiveness study, and other online intervention studies may be presented with other unique challenges that are specific to their study format or aims. Consistent with some of the generalizability challenges facing other online studies, participants in this study were overall highly educated (most had at least a college degree). CONCLUSIONS: We successfully conducted a large-scale virtual online intervention to increase physical activity of participants with comorbid mood and cardiovascular disorders by overcoming substantial operational and technical challenges. We hope that this exploration of design considerations in the context of our online study can inform upcoming online intervention studies.

A Pilot Study of a Stress Management Program for Incarcerated Veterans.

INTRODUCTION: Veterans involved in the justice system are an understudied population warranting attention given their higher risk of mental health concerns and psychosocial challenges. Thus, there is a need for programs to support the psychological health of incarcerated veterans. The present study sought to determine the acceptability and effectiveness of a mind-body stress reduction program for incarcerated veterans. MATERIALS AND METHODS: Twenty-four incarcerated veterans (100% male; Mage = 44.87 (SD = 13.84)) completed a 6 week mind-body stress reduction course, or Resilient Warrior. Participants completed validated, self-report assessments of mood, functioning, mindfulness, and coping at pre- and post-program as well as having post-program qualitative feedback surveys. RESULTS: Results showed improvement in depressive symptom severity, self-efficacy, and resilience over the study duration (P < .05), but not stress reactivity, mindfulness, sleep disturbance, or perceived stress. The intervention was reported as helpful by 96% of participants, with 86% of participants stating they would recommend the course to others. CONCLUSIONS: The Resilient Warrior program is acceptable and well-tolerated for incarcerated veterans as well as may improve aspects of psychological health. Future studies could examine how stress reductions program might improve recidivism rates and quality of life after the release of incarcerated veterans.

A surrogate measure for patient reported symptom remission in administrative data.

BACKGROUND: In real-world pragmatic administrative databases, patient reported remission is often missing. OBJECTIVE: We evaluate if, in administrative data, five features of antidepressant use patterns can replace patient-reported symptom remission. METHOD: We re-examined data from Sequence Treatment Alternatives to Relieve Depression (STAR*D) study. Remission was measured using 50% reduction in Hamilton index. Pattern of antidepressant use was examined through five variables: (a) number of prior ineffective antidepressants, (b) duration of taking current antidepressant, (c) receiving therapeutic dose of the medication, and (d) switching to another medication, or (e) augmenting with another antidepressant. The likelihood ratio (LR) associated with each of these predictors was assessed in 90% of data (3329 cases) and evaluated in 10% of data (350 cases) set-aside for evaluation. The accuracy of predictions was calculated using Area under the Receiver Operating Curve (AROC). RESULTS: Patients who took antidepressants for 14 weeks (LR = 2.007) were more likely to have symptom remission. Prior use of 3 antidepressants reduced the odds of remission (LR = 0.771). Patients who received antidepressants below therapeutic dose were 5 times less likely to experience remission (LR = 0.204). Antidepressant that were augment or switched, almost never led to remission (LR = 0.008, LR = 0.002 respectively). Patterns of antidepressant use accurately (AROC = 0.93) predicted symptom remission. CONCLUSION: Within the first 100 days, antidepressants use patterns could serve as a surrogate measure for patient-reported remission of symptoms.

Pilot Study of a Brief Sleep Intervention for Suicidal Ideation in Bipolar Disorder.

OBJECTIVE: We investigated the feasibility and acceptability of a brief sleep intervention and sleep monitoring device in bipolar disorder (BD), as well as the intervention's effectiveness in reducing suicidal ideation through improved sleep quality and duration. METHODS: Participants (N=13) with BD received 4 sessions of cognitive-behavioral therapy for sleep disturbance and completed assessments of the intervention and sleep device acceptability, mood, suicidal ideation, and sleep at pretreatment and posttreatment. RESULTS: Feasibility and acceptability of the intervention were high at both pretreatment and posttreatment and did not significantly change by the intervention's conclusion, although participants reported being significantly more likely to recommend the intervention to others at posttreatment. The sleep device was easy to understand, wear, and did not interfere with participants' sleep. Suicidal ideation and depressive symptoms significantly decreased from pretreatment to posttreatment (P<0.05). There were small, but not significant, improvements in the percentage of time spent in stable sleep and total average nightly sleep. CONCLUSION: The potential of this intervention for reducing suicidal ideation and improving sleep is promising, but future research is warranted.

Psychotic symptoms during bipolar depressive episodes and suicidal ideation.

BACKGROUND: Psychotic symptoms during bipolar depressive episodes, especially in outpatients, are under recognized and studied by clinicians and researchers. We examined the relationship between psychotic symptoms during a depressive episode and suicidal ideation in bipolar patients. METHODS: Participants (N = 351) were adult, depressed outpatients with bipolar disorder (BD) in a comparative effectiveness study of quetiapine versus lithium. Psychotic symptoms were assessed via Bipolar Inventory of Signs and Symptoms Scale (BISS) and depressive episodes via Mini-International Neuropsychiatric Interview (MINI). Because only 4.84% (N = 17) endorsed psychotic symptoms, we performed iterative multivariate matching with non-psychotic participants. On every matched population, a multiple regression analysis examined whether psychotic symptoms were associated with suicidal ideation, via the Concise Health Risk Taking scale (CHRT-12). RESULTS: Averaged across the 50 matched populations, current psychotic symptoms predicted active suicidal ideation on the CHRT, but not a passive propensity toward suicide or total CHRT scores, after adjusting for common correlates of suicidality (e.g., previous suicidal behavior) (ß=0.59, p=.01, R2= 0.41). LIMITATIONS: Our study was limited by three factors. First, the generalizability of our study was limited as the sample included only outpatients. Next, the analysis was cross-sectional and does not allow for causal interpretation. Lastly, our study lacked information regarding the content and mood congruency of participants' psychosis. CONCLUSION: While a small proportion of BD outpatients had current symptoms of psychosis during their depressive episode, those who did were more likely to endorse active suicidal thoughts, including suicide methods and plans.