Health Profile Transitions and the Association With Cognitive Impairment in Older Nursing Home Residents With Suicidal Ideation.

OBJECTIVES: In older U.S. nursing home residents with suicidal ideation (SI), limited studies have longitudinally investigated their health changes as related to cognitive function. This study aimed to identify the health profiles and the transitions between profiles at admission and 90-days and examine the associations with cognitive impairment. METHODS: Using Minimum Data Set 3.0 (2011-15), we identified 10,079 older residents without severe cognitive impairment who reported SI on Patient Health Questionnaire-9. Health profile indicators included at-admission and 90-day post-admission depressive symptoms, frailty, and pain frequency and intensity. Using latent transition analysis, we identified distinct health profiles, examined the transitions between profiles over time, and estimated their associations with cognitive impairment. RESULTS: One third of residents continued to report SI at 90 days. The five health profiles identified at admission were distinctive with varying levels of frailty, depressive symptoms, and pain, from the most severe Profile 1 characterized by frailty, all depressive symptoms, and horrible or frequent pain, to the least severe Profile 5 characterized by pre-frailty, depressed mood, and no pain. The 90-day profiles were mostly consistent. Most residents remained in a similar profile over time. Relative to residents with intact cognition/mild cognitive impairment, those with moderate impairment were less likely to belong to profiles characterized by more depressive symptoms and pain. CONCLUSIONS: Residents with SI had heterogeneous health profiles, which varied by cognitive impairment levels, but showed minimal changes despite being in a medically supervised setting. Findings highlighted the critical need for adequate recognition and management of SI in nursing homes.

Predictors of attrition during acute pharmacotherapy of psychotic depression in a clinical trial.

Little is known about factors that contribute to attrition in clinical trials of the pharmacotherapy of psychotic depression. The purpose of this study was to identify factors associated with attrition during acute pharmacotherapy in the Study of the Pharmacotherapy of Psychotic Depression II (STOP-PD II) clinical trial. Sociodemographic and clinical variables were assessed at baseline in 269 men and women, aged 18-85 years, who were treated with up to 12 weeks of open-label sertraline plus olanzapine. Univariate analyses examined the association of baseline variables with overall non-completion, as well as reasons for non-completion. Logistic regression was used to model the relationship of the significant univariate predictors with non-completion and its reasons. Seventy-four (27.5 %) participants did not complete the acute treatment phase of STOP-PD II. Male gender, younger age, inpatient status, higher Clinical Global Impression (CGI) severity of illness, and higher severity of psychomotor disturbance were associated with non-completion in univariate analyses. In regression models, higher CGI severity of illness score was the only significant independent predictor of non-completion, explained by withdrawal of consent. Our findings have implications for the retention of persons with psychotic depression in clinical trials.

Challenges in the Treatment of Psychotic Bipolar Depression.

BACKGROUND: Psychotic bipolar depression (PBD) is a prevalent yet understudied psychiatric illness, and there are no specific guidelines or Food and Drug Administration-approved medications for its treatment. Recent studies suggest that some antipsychotics and mood stabilizers may be effective in managing bipolar depression; however, their effectiveness for PBD remains unclear. Given the urgent need for more focused research for managing PBD, we conducted a literature review to summarize the existing literature on PBD. METHODS: We conducted an electronic literature search from the 1960s to 2023, utilizing PubMed, MEDLINE, EMBASE, and Google, and selected studies based on their relevance to PBD. FINDINGS: PBD is a complex disorder, with 50%-75% of patients with bipolar disorder exhibiting psychotic features. This likelihood increases among those with a history of psychotic mania. Treatment guidelines often recommend a combination of mood stabilizers, antipsychotics, or electroconvulsive therapy, but they do not specify a first-line treatment. PBD symptoms can be masked by mixed high mood and energy feelings, potentially delaying diagnosis and treatment while increasing suicide risk. Limited research has evaluated outcomes of various treatments for PBD, and despite the lack of evidence for superior efficacy, in clinical practice, antipsychotics are frequently prescribed. Notably, combining an antipsychotic with selective noradrenaline reuptake inhibitors or tricyclic antidepressants may be effective, but including a mood stabilizer is necessary. CONCLUSION: PBD poses a significant challenge in mental health due to its severity and the lack of consensus on optimal treatment approaches. There is a critical need for more dedicated clinical trials and research to answer key questions about the effective treatment of acute PBD, ideal follow-up care, traits of responders to different therapies, and decision models for subsequent treatments.

Effect of olanzapine exposure on relapse and brain structure in patients with major depressive disorder with psychotic features.

Some data suggest that antipsychotics may adversely affect brain structure. We examined the relationship among olanzapine exposure, relapse, and changes in brain structure in patients with major depressive disorder with psychotic features. We analyzed data from the Study of the Pharmacotherapy of Psychotic Depression II trial (STOP-PD II), a randomized, placebo-controlled trial in patients with psychotic depression who attained remission on sertraline and olanzapine and were randomized to continue sertraline plus olanzapine or placebo for 36 weeks. Olanzapine steady state concentration (SSC) were calculated based on sparsely-sampled levels. Rates of relapse and changes in brain structure were assessed as outcomes. There were significant associations between dosage and relapse rates (N = 118; HR = 0.94, 95% CI [0.897, 0.977], p = 0.002) or changes in left cortical thickness (N = 44; B = -2.0 × 10-3, 95% CI [-3.1 × 10-3, -9.6 × 10-4], p < 0.001) and between SSC and changes in left cortical thickness (N = 44; B = -8.7 × 10-4, 95% CI [-1.4 × 10-3, -3.6 × 10-4], p = 0.001). Similar results were found for the right cortex. These associations were no longer significant when the analysis was restricted to participants treated with olanzapine. Our findings suggest that, within its therapeutic range, the effect of olanzapine on relapse or cortical thickness does not depend on its dosage or SSC. Further research is needed on the effect of olanzapine and other antipsychotics on mood symptoms and brain structure.

Trajectories of remitted psychotic depression: identification of predictors of worsening by machine learning.

BACKGROUND: Remitted psychotic depression (MDDPsy) has heterogeneity of outcome. The study's aims were to identify subgroups of persons with remitted MDDPsy with distinct trajectories of depression severity during continuation treatment and to detect predictors of membership to the worsening trajectory. METHOD: One hundred and twenty-six persons aged 18-85 years participated in a 36-week randomized placebo-controlled trial (RCT) that examined the clinical effects of continuing olanzapine once an episode of MDDPsy had remitted with sertraline plus olanzapine. Latent class mixed modeling was used to identify subgroups of participants with distinct trajectories of depression severity during the RCT. Machine learning was used to predict membership to the trajectories based on participant pre-trajectory characteristics. RESULTS: Seventy-one (56.3%) participants belonged to a subgroup with a stable trajectory of depression scores and 55 (43.7%) belonged to a subgroup with a worsening trajectory. A random forest model with high prediction accuracy (AUC of 0.812) found that the strongest predictors of membership to the worsening subgroup were residual depression symptoms at onset of remission, followed by anxiety score at RCT baseline and age of onset of the first lifetime depressive episode. In a logistic regression model that examined depression score at onset of remission as the only predictor variable, the AUC (0.778) was close to that of the machine learning model. CONCLUSIONS: Residual depression at onset of remission has high accuracy in predicting membership to worsening outcome of remitted MDDPsy. Research is needed to determine how best to optimize the outcome of psychotic MDDPsy with residual symptoms.

Brain metabolite levels in remitted psychotic depression with consideration of effects of antipsychotic medication.

BACKGROUND: The neurobiology of psychotic depression is not well understood and can be confounded by antipsychotics. Magnetic resonance spectroscopy (MRS) is an ideal tool to measure brain metabolites non-invasively. We cross-sectionally assessed brain metabolites in patients with remitted psychotic depression and controls. We also longitudinally assessed the effects of olanzapine versus placebo on brain metabolites. METHODS: Following remission, patients with psychotic depression were randomized to continue sertraline + olanzapine (n = 15) or switched to sertraline + placebo (n = 18), at which point they completed an MRS scan. Patients completed a second scan either 36 weeks later, relapse, or discontinuation. Where water-scaled metabolite levels were obtained and a Point-RESolved Spectroscopy sequence was utilized, choline, myo-inositol, glutamate + glutamine (Glx), N-acetylaspartate, and creatine were measured in the left dorsolateral prefrontal cortex (L-DLPFC) and dorsal anterior cingulate cortex (dACC). An ANCOVA was used to compare metabolites between patients (n = 40) and controls (n = 46). A linear mixed-model was used to compare olanzapine versus placebo groups. RESULTS: Cross-sectionally, patients (compared to controls) had higher myo-inositol (standardized mean difference [SMD] = 0.84; 95%CI = 0.25-1.44; p = 0.005) in the dACC but not different Glx, choline, N-acetylaspartate, and creatine. Longitudinally, patients randomized to placebo (compared to olanzapine) showed a significantly greater change with a reduction of creatine (SMD = 1.51; 95%CI = 0.71-2.31; p = 0.0002) in the dACC but not glutamate + glutamine, choline, myo-inositol, and N-acetylaspartate. CONCLUSIONS: Patients with remitted psychotic depression have higher myo-inositol than controls. Olanzapine may maintain creatine levels. Future studies are needed to further disentangle the mechanisms of action of olanzapine.

Direct-to-Consumer Advertising Survey of Psychiatrists in Massachusetts and Michigan.

PURPOSES/BACKGROUND: The goals of this preliminary study were to survey psychiatrists and to examine the impact of advertisements on their prescription of psychotropic medications. The study specifically looked at psychiatrists in Massachusetts and Michigan, as the authors were able to readily contact the members of their respective state psychiatric societies. METHODS/PROCEDURES: We used the survey software, Quatrics, to create an online survey that was sent via email link to the members of the Massachusetts Psychiatric Society (1400 estimated members), and the Michigan Psychiatric Society (700 estimated members). Details were obtained about how challenging it was for the psychiatrist to convince the patient that a medication was not indicated. Information regarding how the psychiatrist first heard about new medications and where they go to learn more about these medications was included in the survey. FINDINGS/RESULTS: We received 162 partial or full responses to our survey, representing a response rate of 8%. Those who were less than 10 years out of training were less likely to find it "easy" to change the minds of these patients, when compared with those more than 10 years out of training (Fisher exact test, P = 0.0396). The most frequent medication named as a response to "which medications do patients request" was Rexulti (brexpiprazole), followed by Vraylar (cariprazine), Caplyta (lumateperone), and aripiprazole. IMPLICATIONS/CONCLUSIONS: This survey points to the prevalence of psychiatrists getting requests for these advertised medications and illustrates that those with fewer years out of training may have a more difficult time redirecting patients from medications that are not indicated for their illness.

The relationship of white matter microstructure with psychomotor disturbance and relapse in remitted psychotic depression.

BACKGROUND: Psychomotor disturbance is common in psychotic depression and is associated with relapse. In this analysis, we examined whether white matter microstructure is associated with relapse probability in psychotic depression and, if so, whether white matter microstructure accounts for the association between psychomotor disturbance and relapse. METHODS: We used tractography to characterize diffusion-weighted MRI data in 80 participants enrolled in a randomized clinical trial that compared efficacy and tolerability of sertraline plus olanzapine with sertraline plus placebo in the continuation treatment of remitted psychotic depression. Cox proportional hazard models tested the relationships between psychomotor disturbance (processing speed and CORE score) at baseline, white matter microstructure (fractional anisotropy [FA] and mean diffusivity [MD]) in 15 selected tracts at baseline, and relapse probability. RESULTS: CORE was significantly associated with relapse. Higher mean MD was significantly associated with relapse in the each of the following tracts: corpus callosum, left striato-frontal, left thalamo-frontal, and right thalamo-frontal. CORE and MD were each associated with relapse in the final models. LIMITATIONS: As a secondary analysis with a small sample size, this study was not powered for its aims, and is vulnerable to types I and II statistical errors. Further, the sample size was not sufficient to test the interaction of the independent variables and randomized treatment group with relapse probability. CONCLUSIONS: While both psychomotor disturbance and MD were associated with psychotic depression relapse, MD did not account for the relationship between psychomotor disturbance and relapse. The mechanism by which of psychomotor disturbance increases the risk of relapse requires further investigation. CLINICAL TRIAL REGISTRATION: Study of the Pharmacotherapy of Psychotic Depression II (STOP-PD II); NCT01427608. URL: https://clinicaltrials.gov/ct2/show/NCT01427608.

Effects of antipsychotic medication on functional connectivity in major depressive disorder with psychotic features.

The effect of antipsychotic medication on resting state functional connectivity in major depressive disorder (MDD) is currently unknown. To address this gap, we examined patients with MDD with psychotic features (MDDPsy) participating in the Study of the Pharmacotherapy of Psychotic Depression II. All participants were treated with sertraline plus olanzapine and were subsequently randomized to continue sertraline plus olanzapine or be switched to sertraline plus placebo. Participants completed an MRI at randomization and at study endpoint (study completion at Week 36, relapse, or early termination). The primary outcome was change in functional connectivity measured within and between specified networks and the rest of the brain. The secondary outcome was change in network topology measured by graph metrics. Eighty-eight participants completed a baseline scan; 73 completed a follow-up scan, of which 58 were usable for analyses. There was a significant treatment X time interaction for functional connectivity between the secondary visual network and rest of the brain (t = -3.684; p = 0.0004; pFDR = 0.0111). There was no significant treatment X time interaction for graph metrics. Overall, functional connectivity between the secondary visual network and the rest of the brain did not change in participants who stayed on olanzapine but decreased in those switched to placebo. There were no differences in changes in network topology measures when patients stayed on olanzapine or switched to placebo. This suggests that olanzapine may stabilize functional connectivity, particularly between the secondary visual network and the rest of the brain.

Genomic Investigation of Remission and Relapse of Psychotic Depression Treated with Sertraline plus Olanzapine: The STOP-PD II Study.

INTRODUCTION: Little is known regarding genetic factors associated with treatment outcome of psychotic depression. We explored genomic associations of remission and relapse of psychotic depression treated with pharmacotherapy. METHODS: Genomic analyses were performed in 171 men and women aged 18-85 years with an episode of psychotic depression who participated in the Study of the Pharmacotherapy of Psychotic Depression II (STOP-PD II). Participants were treated with open-label sertraline plus olanzapine for up to 12 weeks; those who achieved remission or near-remission and maintained it following 8 weeks of stabilization were eligible to participate in a 36-week randomized controlled trial that compared sertraline plus olanzapine with sertraline plus placebo in preventing relapse. RESULTS: There were no genome-wide significant associations with either remission or relapse. However, at a suggestive threshold, SNP rs1026501 (31 kb from SYNPO2) in the whole sample and rs6844137 (within the intronic region of SYNPO2) in the European ancestry subsample were associated with a decreased likelihood of remission. In polygenic risk analyses, participants who had greater improvement after antidepressant treatments showed a higher likelihood of reaching remission. Those who achieved remission and had a higher polygenic risk for Alzheimer's disease had a significantly decreased likelihood of relapse. CONCLUSION: Our analyses provide preliminary insights into the genetic architecture of remission and relapse in a well-characterized group of patients with psychotic depression.

Residual or re-emergent impaired insight into delusions following remission is unrelated to later relapse during a randomized clinical trial of continuation pharmacotherapy for psychotic depression - The STOP-PD II Study.

BACKGROUND: Impaired insight into delusions is associated with a lower probability of remission of psychotic depression, independent of illness severity. The relationship between participant characteristics and impaired insight into delusions in remitted psychotic depression, and whether impaired insight is associated with risk of relapse of psychotic depression during continuation pharmacotherapy were examined. METHODS: Data were analyzed from 126 participants in the STOP-PD II study who experienced sustained remission of psychotic depression during 8-week stabilization treatment with sertraline plus olanzapine and were then randomized to 36 weeks of continuation treatment with sertraline plus either olanzapine or placebo. Insight into delusions was assessed with the Resolution of Delusions Scale (RODS). Linear regression analyses examined the associations between participant characteristics and insight into delusions. Cox proportional-hazards models examined whether i) change in RODS during stabilization treatment; or ii) RODS at the end of stabilization treatment predicted risk of relapse during 36 weeks of continuation treatment. RESULTS: Severity of psychosis before initiation of treatment was the only participant characteristic associated with the change in insight during stabilization treatment. Neither change in insight during stabilization treatment nor insight at the end of stabilization treatment was associated with risk of relapse. LIMITATIONS: Insufficient statistical power and the lack of variability in RODS scores at the time of randomization may have contributed to the absence of a relationship between RODS and risk of relapse. CONCLUSION: Residual or reemergent insight impairment following acute treatment does not preclude patients from sustaining remission of psychotic depression in a randomized placebo-controlled trial.

Predictors of relapse of psychotic depression: Findings from the STOP-PD II randomized clinical trial.

Psychotic depression has a high rate of relapse. The study aims were to identify a prediction model of risk of relapse of psychotic depression and examine whether predictors moderated the effect of treatment on relapse. One hundred and twenty-six men and women aged 18-85 years, who experienced sustained remission or near-remission of psychotic depression with sertraline plus olanzapine, participated in a 36-week randomized controlled trial that compared sertraline plus olanzapine with sertraline plus placebo in preventing relapse (NCT01427608). Cox regression analyses were performed to identify significant predictors of relapse and to model the combined role of significant predictors. Concordance statistic was calculated to determine the accuracy of the best fit multivariable models in predicting relapse. Finally, interaction terms were tested for each significant predictor to examine whether they moderated the effect of treatment on risk of relapse. Lifetime number of depressive episodes, severity of residual depressive symptoms at the time of randomization, and psychomotor disturbance both at acute enrollment when participants were depressed and at the time of randomization predicted risk of relapse. Multivariable models had 69-70% accuracy in predicting relapse. Psychomotor disturbance was associated with increased risk of relapse in the sertraline plus olanzapine group compared with sertraline plus placebo, whereas the other predictors did not moderate the effect of treatment on relapse. Future research is needed to determine whether a combination of clinical and biological variables can further increase the accuracy of prediction of relapse of psychotic depression.