Are existing self-ratings of acute manic symptoms in adults reliable and valid?-A systematic review

A trial of prolonged exposure therapy for outpatients with comorbid bipolar disorder and posttraumatic stress disorder (PTSD)

BACKGROUND

Bipolar disorder and posttraumatic stress disorder (PTSD) commonly co-occur, but no treatment guidelines exist for this population. Prolonged exposure (PE) is a well-established and efficacious treatment for PTSD, untested in patients with comorbid bipolar disorder. The current study evaluates the feasibility and preliminary efficacy of PE for patients with bipolar disorder and PTSD.

METHODS

Participants were enrolled in PE and completed assessments of PTSD symptoms, suicidality, state and trait anxiety, depression, and mania at baseline, Sessions 5 and 10, and at 6-months post-treatment.

RESULTS

32 patients enrolled in this study, with 75 % (24/32) completing all ten PE sessions and 50 % completing 6-month follow-up assessments. PTSD symptoms decreased from baseline to Session 10 and continued to decrease throughout the follow-up period. Suicidality, measured by implicit associations between self and death, showed a similar pattern of decrease over treatment and follow-up periods. Suicidal thinking and depressive symptoms decreased from baseline through Session 10 and rebounded slightly, remaining below baseline at 6-months follow-up. State and trait anxiety increased initially through Session 5 but then decreased and remained stable. Mania scores remained stable at all assessment periods.

LIMITATIONS

The study is limited by a small sample size and absence of a control condition. Criterion A trauma was not required, limiting generalizability, and there was significant attrition at follow-up.

CONCLUSIONS

These findings suggest that PE is a feasible and preliminarily efficacious treatment for patients with bipolar disorder and comorbid PTSD, and support the conduct of a fully powered efficacy of PE for this comorbidity.

The relationship between dysfunctional attitudes, maladaptive perfectionism, metacognition and symptoms of mania and depression in bipolar disorder: The role of self-compassion as a mediating factor

BACKGROUND

Maladaptive cognitions appear to be associated with the severity of mood symptoms in bipolar disorder (BD), but findings are mixed and generally cross-sectional in design.

METHOD

This study (n = 331) explored the associations between maladaptive cognitions and mood symptoms in BD over time (3 months), and the potential mediating effect of self-compassion cross-sectionally. Dysfunctional attitudes, maladaptive perfectionism and maladaptive metacognitions were explored separately with depressive and manic symptoms, and with current mood state in BD.

RESULTS

The results showed maladaptive metacognitions to be the only significant predictor of depression at 3-month follow-up (β = 0.31, p < .001), with no relationship to mania over time. Cross-sectionally, self-compassion partially mediated the relationship between all maladaptive cognitions and depression, with higher dysfunctional cognitions and lower self-compassion predicting increased severity of depressive symptoms. Only the relationship between dysfunctional attitudes and mania was partially mediated by self-compassion, however, the relationship was weak and suggestive that higher self-compassion predicted increased mania.

LIMITATIONS

The study duration limited the possible analysis. Future longitudinal research is needed. Also, the study sample was not representative of the clinical population, making results less generalisable. Additionally, limited significant findings regarding manic symptoms supports the need for further research into active cognitions during this phase of BD.

CONCLUSIONS

Maladaptive metacognitions were predictive of future depression severity, therefore, further exploration of metacognitive therapy for BD should be explored. Furthermore, self-compassion was shown to partially mediate the relationship between negative cognitions and mood, therefore further exploration of compassion-based therapies for BD is needed.

Transgender individuals are at higher risk for suicidal ideation and preparation than cisgender individuals in substance use treatment

Introduction

This study describes the differences and similarities in mental health, substance use, and substance use treatment outcomes between people presenting for SUD treatment who identified as transgender and those who identified as cisgender men or women.

Methods

We compared 64 individuals who self-identified as transgender and presented for SUD treatment to samples of cisgender men and women (separately) matched based on propensity scores which were created based on sociodemographic factors known to influence both the nature of substance use and patterns of treatment engagement including age, education, race, stable housing, and employment status. Comparisons were made using χ2 tests and t-tests in over 150 variables collected at treatment intake regarding physical and mental health, substance use patterns, events that led to treatment, reasons for seeking treatment, and treatment outcomes.

Results

The transgender sample endorsed six of the seven suicide-related items more often than at least one of the cisgender-matched samples. Furthermore, the transgender sample remained in treatment significantly longer (M = 32.3, SD = 22.2) than the cisgender male sample (M = 19.5, SD = 26.1, t = 2.17, p = 0.03).

Discussion

This study is a first step into understanding gender minority population experiences during SUD treatment. While there was no significant difference between the cisgender and transgender samples on most variables, there was an elevated prevalence of suicidal ideation and behaviors in the transgender sample, which warrants further investigation.

Accuracy of the Arabic HCL - 32 and MDQ in detecting patients with bipolar disorder

BACKGROUND

Studies about the two most used and validated instruments for the early detection of Bipolar Disorder (BD), the 32 - item Hypomania Checklist (HCL - 32) and the Mood Disorder Questionnaire (MDQ), are scarce in non-Western countries. This study aimed to explore the reliability, factor structure, and criterion validity of their Arabic versions in a sample of Tunisian patients diagnosed with mood disorders.

METHODS

The sample included 59 patients with BD, 86 with unipolar Major Depressive Disorder (MDD) and 281 controls. Confirmatory factor analysis was applied to show that a single global score was an appropriate summary measure of the screeners in the sample. Receiver Operating Characteristic analysis was used to assess the capacity of the translated screeners to distinguish patients with BD from those with MDD and controls.

RESULTS

Reliability was good for both tools in all samples. The bifactor implementation of the most reported two-factor model had the best fit for both screeners. Both were able to distinguish patients diagnosed with BD from putatively healthy controls, and equally able to distinguish patients diagnosed with BD from patients with MDD.

CONCLUSION

Both screeners work best in excluding the presence of BD in patients with MDD, which is an advantage in deciding whether or not to prescribe an antidepressant.

The clinical characterization of the adult patient with bipolar disorder aimed at personalization of management

Bipolar disorder is heterogeneous in phenomenology, illness trajectory, and response to treatment. Despite evidence for the efficacy of multimodal-ity interventions, the majority of persons affected by this disorder do not achieve and sustain full syndromal recovery. It is eagerly anticipated that combining datasets across various information sources (e.g., hierarchical "multi-omic" measures, electronic health records), analyzed using advanced computational methods (e.g., machine learning), will inform future diagnosis and treatment selection. In the interim, identifying clinically meaningful subgroups of persons with the disorder having differential response to specific treatments at point-of-care is an empirical priority. This paper endeavours to synthesize salient domains in the clinical characterization of the adult patient with bipolar disorder, with the overarching aim to improve health outcomes by informing patient management and treatment considerations. Extant data indicate that characterizing select domains in bipolar disorder provides actionable information and guides shared decision making. For example, it is robustly established that the presence of mixed features - especially during depressive episodes - and of physical and psychiatric comorbidities informs illness trajectory, response to treatment, and suicide risk. In addition, early environmental exposures (e.g., sexual and physical abuse, emotional neglect) are highly associated with more complicated illness presentations, inviting the need for developmentally-oriented and integrated treatment approaches. There have been significant advances in validating subtypes of bipolar disorder (e.g., bipolar I vs. II disorder), particularly in regard to pharmacological interventions. As with other severe mental disorders, social functioning, interpersonal/family relationships and internalized stigma are domains highly relevant to relapse risk, health outcomes, and quality of life. The elevated standardized mortality ratio for completed suicide and suicidal behaviour in bipolar disorder invites the need for characterization of this domain in all patients. The framework of this paper is to describe all the above salient domains, providing a synthesis of extant literature and recommendations for decision support tools and clinical metrics that can be implemented at point-of-care.

Bipolar Disorder

Bipolar disorder (BD) affects approximately 2% of U.S. adults and is the most costly mental health condition for commercial insurers nationwide. Rates of BD are elevated among persons with depression, anxiety disorders, and substance use disorders-conditions frequently seen by primary care clinicians. In addition, antidepressants can precipitate manic or hypomanic symptoms or rapid cycling in persons with undiagnosed BD. Thus, screening in these high-risk groups is indicated. Effective treatments exist, and many can be safely and effectively administered by primary care clinicians.

The Patient Mania Questionnaire (PMQ-9): a Brief Scale for Assessing and Monitoring Manic Symptoms

BACKGROUND

Measurement-based care is an effective clinical strategy underutilized for bipolar disorder partly due to lacking a widely adopted patient-reported manic symptom measure.

OBJECTIVE

To report development and psychometric properties of a brief patient-reported manic symptom measure.

DESIGN

Secondary analysis of data collected in a randomized effectiveness trial comparing two treatments for 1004 primary care patients screening positive for bipolar disorder and/or PTSD.

PARTICIPANTS

Two analytic samples included 114 participants with varied diagnoses and test-retest data, and 179 participants with psychiatrist-diagnosed bipolar disorder who had two or more assessments with the nine-item Patient Mania Questionnaire-9 [PMQ-9]).

MAIN MEASURES

Internal and test-retest reliability, concurrent validity, and sensitivity to change were assessed. Minimally important difference (MID) was estimated by standard error of measurement (SEM) and by standard deviation (SD) effect sizes.

KEY RESULTS

The PMQ-9 had high internal reliability (Cronbach's alpha = 0.88) and test-retest reliability (0.85). Concurrent validity correlation with manic symptom measures was high for the Internal State Scale-Activation Subscale (0.70; p<0.0001), and lower for the Altman Mania Rating Scale (0.26; p=0.007). Longitudinally, PMQ-9 was completed at 1511 clinical encounters in 179 patients with bipolar disorder. Mean PMQ-9 score at first and last encounters was 14.5 (SD 6.5) and 10.1 (SD 7.0), a 27% decrease in mean score during treatment, suggesting sensitivity to change. A point estimate of the MID was approximately 3 points (range of 2-4).

CONCLUSIONS

The PMQ-9 demonstrated excellent test-retest reliability, concurrent validity, internal consistency, and sensitivity to change and was widely used and acceptable to patients and clinicians in a pragmatic clinical trial. Combined with the Patient Health Questionnaire-9 (PHQ-9) measure of depressive symptoms this brief measure could inform measurement-based care for individuals with bipolar disorder in primary care and mental health care settings given its ease of administration and familiar self-report response format.

Stability over time of scores on psychiatric rating scales, questionnaires and cognitive tests in healthy controls

BACKGROUND

Case-only longitudinal studies are common in psychiatry. Further, it is assumed that psychiatric ratings and questionnaire results of healthy controls stay stable over foreseeable time ranges. For cognitive tests, improvements over time are expected, but data for more than two administrations are scarce.

AIMS

We comprehensively investigated the longitudinal course for trends over time in cognitive and symptom measurements for severe mental disorders. Assessments included the Trail Making Tests, verbal Digit Span tests, Global Assessment of Functioning, Inventory of Depressive Symptomatology, the Positive and Negative Syndrome Scale, and the Young Mania Rating Scale, among others.

METHOD

Using the data of control individuals (n = 326) from the PsyCourse study who had up to four assessments over 18 months, we modelled the course using linear mixed models or logistic regression. The slopes or odds ratios were estimated and adjusted for age and gender. We also assessed the robustness of these results using a longitudinal non-parametric test in a sensitivity analysis.

RESULTS

Small effects were detected for most cognitive tests, indicating a performance improvement over time (P < 0.05). However, for most of the symptom rating scales and questionnaires, no effects were detected, in line with our initial hypothesis.

CONCLUSIONS

The slightly but consistently improved performance in the cognitive tests speaks of a test-unspecific positive trend, while psychiatric ratings and questionnaire results remain stable over the observed period. These detectable improvements need to be considered when interpreting longitudinal courses. We therefore recommend recruiting control participants if cognitive tests are administered.

Validity of the Aktibipo Self-rating Questionnaire for the Digital Self-assessment of Mood and Relapse Detection in Patients With Bipolar Disorder: Instrument Validation Study

BACKGROUND

Self-reported mood is a valuable clinical data source regarding disease state and course in patients with mood disorders. However, validated, quick, and scalable digital self-report measures that can also detect relapse are still not available for clinical care.

OBJECTIVE

In this study, we aim to validate the newly developed ASERT (Aktibipo Self-rating) questionnaire-a 10-item, mobile app-based, self-report mood questionnaire consisting of 4 depression, 4 mania, and 2 nonspecific symptom items, each with 5 possible answers. The validation data set is a subset of the ongoing observational longitudinal AKTIBIPO400 study for the long-term monitoring of mood and activity (via actigraphy) in patients with bipolar disorder (BD). Patients with confirmed BD are included and monitored with weekly ASERT questionnaires and monthly clinical scales (Montgomery-Åsberg Depression Rating Scale [MADRS] and Young Mania Rating Scale [YMRS]).

METHODS

The content validity of the ASERT questionnaire was assessed using principal component analysis, and the Cronbach α was used to assess the internal consistency of each factor. The convergent validity of the depressive or manic items of the ASERT questionnaire with the MADRS and YMRS, respectively, was assessed using a linear mixed-effects model and linear correlation analyses. In addition, we investigated the capability of the ASERT questionnaire to distinguish relapse (YMRS≥15 and MADRS≥15) from a nonrelapse (interepisode) state (YMRS<15 and MADRS<15) using a logistic mixed-effects model.

RESULTS

A total of 99 patients with BD were included in this study (follow-up: mean 754 days, SD 266) and completed an average of 78.1% (SD 18.3%) of the requested ASERT assessments (completion time for the 10 ASERT questions: median 24.0 seconds) across all patients in this study. The ASERT depression items were highly associated with MADRS total scores (P<.001; bootstrap). Similarly, ASERT mania items were highly associated with YMRS total scores (P<.001; bootstrap). Furthermore, the logistic mixed-effects regression model for scale-based relapse detection showed high detection accuracy in a repeated holdout validation for both depression (accuracy=85%; sensitivity=69.9%; specificity=88.4%; area under the receiver operating characteristic curve=0.880) and mania (accuracy=87.5%; sensitivity=64.9%; specificity=89.9%; area under the receiver operating characteristic curve=0.844).

CONCLUSIONS

The ASERT questionnaire is a quick and acceptable mood monitoring tool that is administered via a smartphone app. The questionnaire has a good capability to detect the worsening of clinical symptoms in a long-term monitoring scenario.

Reliability, validity and psychometric properties of the Greek version of the Altman self rating mania scale

BACKGROUND

Although self-rating mania scales have been developed, a lack of such instruments validated for the Greek population is noted. This study aims to examine the validity, reliability and psychometric properties of the Altman Self Rating Mania Scale (ASRM) adapted in Greek (G-ASRM).

METHODS

A sample of 86 consecutive inpatient and outpatient bipolar patients diagnosed by the DSM-5 criteria and 37 healthy controls were assessed by using the Young Mania Rating Scale (YMRS) and the Montgomery Asberg Depression Rating Scale (MADRS), and self-administered the G-ASRM. Factor analysis, test-retest analysis, measurement invariance tests, mean differences, Pearson's Correlation analysis and ROC analysis were used to confirm the validity of G-ASRM as a scale, test its reliability, study its psychometric properties in different subgroups and establish a cut-off value for indicating the presence of (hypo)mania in BD patients. Also, regression models were built to expose dependencies between YMRS and G-ASRM items.

RESULTS

Monofactoriality of the scale was verified, based on Exploratory Factor Analysis (EFA). Cronbach's alpha was 0.895. G-ASRM is highly correlated with YMRS (r = 0.856, p < 0.0005) and uncorrelated with MADRS (r = -0.051, p = 0.623). Test- retest r-coefficient was calculated at 0.85. The optimal cut-off score, set at ≥6 for (hypo)mania assessment, is in agreement with the results reported for the original version. Limitations of the study are that the scale was not normed on diagnostic groups other than bipolar, nor was it administered longitudinally, so as to assess its sensitivity to symptom changes overtime.

CONCLUSION

The G-ASRM can be validly and reliably used in the Greek population for the assessment of (hypo)mania in bipolar patients.

Digital phenotyping: towards replicable findings with comprehensive assessments and integrative models in bipolar disorders

Background

Digital phenotyping promises to unobtrusively obtaining a continuous and objective input of symptomatology from patients’ daily lives. The prime example are bipolar disorders, as smartphone parameters directly reflect bipolar symptomatology. Empirical studies, however, have yielded inconsistent findings. We believe that three main shortcomings have to be addressed to fully leverage the potential of digital phenotyping: short assessment periods, rare outcome assessments, and an extreme fragmentation of parameters without an integrative analytical strategy.

Methods

To demonstrate how to overcome these shortcomings, we conducted frequent (biweekly) dimensional and categorical expert ratings and daily self-ratings over an extensive assessment period (12 months) in 29 patients with bipolar disorder. Digital phenotypes were monitored continuously. As an integrative analytical strategy, we used structural equation modelling to build latent psychopathological outcomes (mania, depression) and latent digital phenotype predictors (sleep, activity, communicativeness).

Outcomes

Combining gold-standard categorical expert ratings with dimensional self and expert ratings resulted in two latent outcomes (mania and depression) with statistically meaningful factor loadings that dynamically varied over 299 days. Latent digital phenotypes of sleep and activity were associated with same-day latent manic psychopathology, suggesting that psychopathological alterations in bipolar disorders relate to domains (latent variables of sleep and activity) and not only to specific behaviors (such as the number of declined incoming calls). The identification of latent psychopathological outcomes that dimensionally vary on a daily basis will enable to empirically determine which combination of digital phenotypes at which days prior to an upcoming episode are viable as digital prodromal predictors.