Effectiveness and safety of monoamine oxidase inhibitor treatment for bipolar depression versus unipolar depression: An exploratory case cohort study.

OBJECTIVE: Patients with bipolar disorder spend most of their clinical lifetime in the depressive phase of their illness. However, antidepressants are discouraged in the treatment of bipolar depression due to concerns over manic induction and drug ineffectiveness. Some reports suggest that monoamine oxidase inhibitors (MAOIs) may be safe and effective compared to other antidepressants in treating bipolar depression. The present study compared the safety and effectiveness of MAOI therapy in patients with bipolar versus unipolar depression. METHODS: Data were collected from approximately 2500 clinical research charts of patients treated with MAOI therapy at a university mood disorder clinic between 1983 and 2015. A mixed-effects model was created with patient entered as the random effect. The model included the primary diagnosis (i.e., either unipolar or bipolar depression) and other clinical covariates as fixed-effect predictors. RESULTS: Patients with bipolar depression demonstrated lower post-treatment clinical global impressions/severity scores versus patients with unipolar depression (p = 0.04). Neither group demonstrated a full syndromal manic or hypomanic episode. A higher proportion of patients with bipolar depression reported myoclonic tics and tremors, which may have resulted from concomitant lithium use. Amongst the covariates, only the number of prior antidepressant trials predicted poorer outcomes from MAOI therapy. CONCLUSION: MAOIs may be more effective-and as safe-for patients with bipolar depression versus unipolar depression. Future studies should explore this possible advantage using a larger sample size.

Mapping Female Patients' Judgments of Satisfaction to Hypothetical Changes in Depression Symptom Severity.

Within mental health, approaches to determine whether a patient experienced "meaningful" change from treatment have predominantly involved imposing thresholds on three types of metrics derived from assessments of symptom severity: end score (posttreatment score), absolute change (pre- minus posttreatment score), and proportion of change. However, none of these approaches have considered input from the consumer. This study examined correspondences between various reductions from pre- to posttreatment symptom severity levels and patients' judgments of satisfaction with change. Former or currently depressed patients were asked to provide judgments of their satisfaction reflected in vignettes that used descriptions from the Hamilton Rating Scale for Depression. Judgments from 108 female participants were fit using four metrics: end score, absolute change, proportion of change, and the combination of end score and absolute change. Akaike information criteria (AICs) and Akaike weights were used to determine the best-fitting model. Cutoffs were calculated for the five levels of satisfaction with change. Proportion of change best accounted for variation in the patients' ratings. For "slightly … ," "somewhat … ," "moderately … ," and "very … ," the proportions of reduction that corresponded with each of these ratings of satisfaction were, respectively: 17%, 39%, 62%, and 84%. Our a priori level of satisfaction (between "somewhat" and "moderately") corresponded to a 50% reduction in pretreatment severity. This study may provide services some insight into their female patients' satisfaction with change from treatment for depression using only the proportion of reduction from pretreatment severity. A similar procedure could be applied to other diagnostic groups, as well as other constructs that attend to the patient's perspective.

Synthesis and Reactivity of 1-Hydroxyherquline A.

Herein, we present the synthesis of 1-hydroxyherquline A and describe its reactivity discovered during its attempted conversion to herquline A, a long-sought natural product target in the synthetic chemical community. The strategic installation of the C1 hydroxyl group enabled the key aza-Michael addition-mediated N10-C2 bond formation and eventually access to 1-hydroxyherquline A, the most advanced herquline A congener reported to date. Our attempted reductive transformation of 1-hydroxyherquline A to herquline A was challenged by the extremely strained bowl-shaped pentacyclic structures of key precursors that prevented either radical formation at C1 or protonation (or hydrogenation) from the desired face. These discoveries regarding the innate chemical reactivities of advanced intermediates toward herquline A may prove useful in efforts toward this formidable target.

Patients' judgments of the importance of treatment-induced reductions in symptoms of depression: The role of specific symptoms, magnitudes of change, and post-treatment levels.

Objective: An implicit assumption in the use of depressive severity measures to assess change during treatment, such as the Hamilton Rating Scale for Depression (HRSD), is that reductions from pre- to post-treatment that are equal to each other are of equal value. However, stakeholders' valuations of changes might depart substantially from this assumption. Method: Vignettes were constructed that reflected the six possible 1, 2, and 3-point reductions on five cognitive and four somatic symptoms derived from the HRSD. Former or currently depressed patients provided judgments of the importance of the symptom reductions. Mean importance ratings were modeled using symptom category and the pre/post-treatment combination. Differences were explored using the Tukey method. Results: Results indicated that mean ratings, from most to least important, were: Anxiety, Suicide, Depressed Mood, Work, and Guilt (the cognitive symptoms) followed by Somatic, Sleep, Appetite & Weight, and Retardation (the somatic symptoms). Participants valued reductions that resulted in posttreatment scores of zero more than expected, given the magnitude of the reductions. Conclusions: The value of reductions in symptoms captured by the HRSD, as judged by patients, appears to differ as a function of symptom category and the post-treatment score. Similar patterns might characterize other measures of depression severity.

Treatment selection in borderline personality disorder between dialectical behavior therapy and psychodynamic psychiatric management.

BACKGROUND: No evidence-based therapy for borderline personality disorder (BPD) exhibits a clear superiority. However, BPD is highly heterogeneous, and different patients may specifically benefit from the interventions of a particular treatment. METHODS: From a randomized trial comparing a year of dialectical behavior therapy (DBT) to general psychiatric management (GPM) for BPD, long-term (2-year-post) outcome data and patient baseline variables (n = 156) were used to examine individual and combined patient-level moderators of differential treatment response. A two-step bootstrapped and partially cross-validated moderator identification process was employed for 20 baseline variables. For identified moderators, 10-fold bootstrapped cross-validated models estimated response to each therapy, and long-term outcomes were compared for patients randomized to their model-predicted optimal v. non-optimal treatment. RESULTS: Significant moderators surviving the two-step process included psychiatric symptom severity, BPD impulsivity symptoms (both GPM > DBT), dependent personality traits, childhood emotional abuse, and social adjustment (all DBT > GPM). Patients randomized to their model-predicted optimal treatment had significantly better long-term outcomes (d = 0.36, p = 0.028), especially if the model had a relatively stronger (top 60%) prediction for that patient (d = 0.61, p = 0.004). Among patients with a stronger prediction, this advantage held even when applying a conservative statistical check (d = 0.46, p = 0.043). CONCLUSIONS: Patient characteristics influence the degree to which they respond to two treatments for BPD. Combining information from multiple moderators may help inform providers and patients as to which treatment is the most likely to lead to long-term symptom relief. Further research on personalized medicine in BPD is needed.

A demonstration of a multi-method variable selection approach for treatment selection: Recommending cognitive-behavioral versus psychodynamic therapy for mild to moderate adult depression.

Objective: We use a new variable selection procedure for treatment selection which generates treatment recommendations based on pre-treatment characteristics for adults with mild-to-moderate depression deciding between cognitive behavioral (CBT) versus psychodynamic therapy (PDT). Method: Data are drawn from a randomized comparison of CBT versus PDT for depression (N = 167, 71% female, mean-age = 39.6). The approach combines four different statistical techniques to identify patient characteristics associated consistently with differential treatment response. Variables are combined to generate predictions indicating each individual's optimal-treatment. The average outcomes for patients who received their indicated treatment versus those who did not were compared retrospectively to estimate model utility. Results: Of 49 predictors examined, depression severity, anxiety sensitivity, extraversion, and psychological treatment-needs were included in the final model. The average post-treatment Hamilton-Depression-Rating-Scale score was 1.6 points lower (95%CI = [0.5:2.8]; d = 0.21) for those who received their indicated-treatment compared to non-indicated. Among the 60% of patients with the strongest treatment recommendations, that advantage grew to 2.6 (95%CI = [1.4:3.7]; d = 0.37). Conclusions: Variable selection procedures differ in their characterization of the importance of predictive variables. Attending to consistently-indicated predictors may be sensible when constructing treatment selection models. The small N and lack of separate validation sample indicate a need for prospective tests before this model is used.

Relative Effectiveness of Monoamine Oxidase Inhibitor and Tricyclic Antidepressant Combination Therapy for Treatment-Resistant Depression.

PURPOSE/BACKGROUND: We examined the relative safety and effectiveness of adding a monoamine oxidase inhibitor (MAOI) to a failed tricyclic antidepressant (TCA) trial versus adding a TCA to a failed MAOI trial or adding a TCA to a failed TCA trial in treatment-resistant depression. METHODS/PROCEDURES: Data were retrospectively harvested from approximately 2500 treatment charts of subjects with treatment-resistant depression who attended a university mood disorders clinic between 1983 and 2015. Hierarchical linear modeling was used to examine the effectiveness of treatment condition on outcome. Relative adverse event profiles were also examined. FINDINGS/RESULTS: Eighty-four treatment outcome observations were made from 54 subjects who received combination therapy: TCA plus TCA (n = 22), TCA plus MAOI (n = 44), and MAOI plus TCA (n = 18). Treatment condition predicted a poorer (albeit not statistically significant) outcome for TCA plus TCA compared with TCA plus MAOI, or MAOI plus TCA therapy (P = 0.098). Specific adverse events occurred with significantly greater frequency between treatment groups; that is, impotence was more frequent with TCA plus MAOI therapy; headaches and insomnia were more frequent with MAOI plus TCA therapy; and constipation was more frequent with TCA plus TCA therapy. There were no reported or observed hypertensive or serotonergic events. IMPLICATIONS/CONCLUSIONS: In contrast to conventional wisdom that combined TCA and MAOI therapy should be avoided, the judicious use of this combination may be relatively safe and effective compared with combined TCA plus TCA therapy. However, sample sizes were limited, and the analysis was nonrandomized and retrospective.

Prior Antidepressant Treatment Trials May Predict a Greater Risk of Depressive Relapse During Antidepressant Maintenance Therapy.

BACKGROUND: We examined the influence of prior antidepressant treatment trials on the likelihood of depressive relapse, and time to depressive relapse, during maintenance therapy of bipolar II disorder in treatment-responsive subjects who had recovered from a major depressive episode. METHODS: Data were derived from a prospective, randomized, double-blind trial of 148 adult subjects with bipolar II major depressive episode who were initially administered open-label fluoxetine monotherapy for 12 weeks. Remitters with a final Hamilton Rating Scale for Depression score of 8 or lower were then randomized to continuation therapy with either fluoxetine (n = 28), lithium (n = 26), or placebo (n = 27) for 50 additional weeks. RESULTS: An increase in the number of prior antidepressant treatment trials was significantly associated with a greater likelihood of depressive relapse for all treatment conditions taken together [odds ratio (OR) = 1.42, z = 2.49, P = 0.01] and for the 2 active treatment conditions together (OR = 1.51, z = 2.28, P = 0.02). An increase in the number of prior antidepressant trials was also associated with a trend-level shortening in the time to relapse for all treatment conditions taken together (hazard ratio = 1.15; confidence interval, 0.99-1.35; P = 0.07) and a significantly shorter time to relapse for subjects in the 2 active treatment conditions (hazard ratio = 1.30; confidence interval, 1.05-1.62; P = 0.02). CONCLUSIONS: These findings support prior evidence of a negative influence of the number of prior antidepressant treatment trials on the likelihood of response and suggest that the number of prior antidepressant trials may also be associated with a greater odds of depressive relapse, and a shorter time to relapse, during antidepressant maintenance therapy in recovered depressed subjects with bipolar II disorder.

Predictive modeling for response to lithium and quetiapine in bipolar disorder.

OBJECTIVES: Lithium and quetiapine are known to be effective treatments for bipolar disorder. However, little information is available to inform prediction of response to these medications. Machine-learning methods can identify predictors of response by examining variables simultaneously. Further evaluation of models on a test sample can estimate how well these models would generalize to other samples. METHODS: Data (N = 482) were drawn from a randomized clinical trial of outpatients with bipolar I or II disorder who received adjunctive personalized treatment plus either lithium or quetiapine. Elastic net regularization (ENR) was used to generate models for lithium and quetiapine; these models were evaluated on a test set. RESULTS: Predictions from the lithium model explained 17.4% of the variance in actual observed scores of patients who received lithium in the test set, while predictions from the quetiapine model explained 32.1% of the variance of patients that received quetiapine. Of the baseline variables selected, those with the largest parameter estimates were: severity of mania; attention-deficit/hyperactivity disorder (ADHD) comorbidity; nonsuicidal self-injurious behavior; employment; and comorbidity with each of two anxiety disorders (social phobia/society anxiety and agoraphobia). Predictive accuracy of the ENR model outperformed the simple and basic theoretical models. CONCLUSION: ENR is an effective approach for building optimal and generalizable models. Variables identified through this methodology can inform future research on predictors of response to lithium and quetiapine, as well as future modeling efforts of treatment choice in bipolar disorder.

Widespread RNA editing of embedded alu elements in the human transcriptome.

More than one million copies of the approximately 300-bp Alu element are interspersed throughout the human genome, with up to 75% of all known genes having Alu insertions within their introns and/or UTRs. Transcribed Alu sequences can alter splicing patterns by generating new exons, but other impacts of intragenic Alu elements on their host RNA are largely unexplored. Recently, repeat elements present in the introns or 3'-UTRs of 15 human brain RNAs have been shown to be targets for multiple adenosine to inosine (A-to-I) editing. Using a statistical approach, we find that editing of transcripts with embedded Alu sequences is a global phenomenon in the human transcriptome, observed in 2674 ( approximately 2%) of all publicly available full-length human cDNAs (n = 128,406), from >250 libraries and >30 tissue sources. In the vast majority of edited RNAs, A-to-I substitutions are clustered within transcribed sense or antisense Alu sequences. Edited bases are primarily associated with retained introns, extended UTRs, or with transcripts that have no corresponding known gene. Therefore, Alu-associated RNA editing may be a mechanism for marking nonstandard transcripts, not destined for translation.