Detecting differences in diagnostic assessment of bipolar disorder

Gender differences in transdiagnostic domains and function of adults measured by DSM-5 assessment scales at the first clinical visit: a cohort study

BACKGROUND

Measurement-based care has been called for as best practice in psychiatric care and learning health systems and use of transdiagnostic measures was suggested as part of the DSM-5. Our objective is to examine gender differences in first visit socioeconomic, transdiagnostic, and functional characteristics of a dynamic, real-world measurement-based care cohort.

METHODS

Transdiagnostic, functional, and clinical measures were collected from 3,556 patients at first visit in an ambulatory psychiatric clinic. All patients were evaluated at the first visit by board-certified psychiatrists or licensed clinical psychologists. Demographic variables and clinical diagnoses were collected from the Electronic Medical Record. Self-report measures were collected that assessed transdiagnostic symptoms (DSM-5 Level 1 Cross-cutting Measure and Level 2 symptom scales), disability, alcohol use, attention deficit hyperactivity disorder (ADHD) symptoms, depression, anxiety, mania, suicidal thoughts and behaviors, and trauma exposure.

RESULTS

Men and women did not differ in age, BMI, household income, high school graduation rate, race, or ethnicity, but women were more likely to be formerly married and less likely to have commercial insurance. Compared to men, women reported significantly higher overall psychopathology on the transdiagnostic Level 1 Cross-cutting measure and had higher depression, anxiety, sleep, anger, ADHD combined presentation, and suicidality severity. Women also had higher disability scores than men. However, men reported higher alcohol, tobacco and substance use, and more risky behavior than women. Trauma exposure differed significantly by gender; men reported more exposure to accidents, war-related trauma, serious accidents, and major disasters and women reported more unwanted sexual contact.

CONCLUSIONS

This cross-sectional study of a transdiagnostic, ecologically-valid real-word measurement-based care cohort demonstrates gender differences in socioeconomic factors, trauma exposure, transdiagnostic symptoms, and functioning.

Developing Empirical Latent Profiles of Impulsive Aggression and Mood in Youths across Three Outpatient Samples

OBJECTIVE

Aggression with impulsivity and reactivity (AIR) may distinguish a subset of youth from those with attention problems, rule-breaking behavior, or mood disorders, potentially with differential treatment response. Yet, DSM-5 and ICD-10 do not include an AIR diagnosis. Thus, we empirically grouped youths into profiles based on AIR, manic, depressive, rule-breaking, and self-harm behaviors; examined which profiles replicated across three samples; and characterized profile sets on demographic and clinical features.

METHOD

After harmonizing data from three samples (n = 679, n = 392, n = 634), Latent Profile Analysis (LPA) assigned youth to profiles based on caregiver-reported measures of AIR, manic, depressive, rule-breaking, and self-harm behaviors. Profiles from each sample were grouped into sets based on profile similarity. Analyses tested differences in diagnoses, sex, and race, age, functioning, and mood severity.

RESULTS

Eight-profile solutions fit best. Seven profiles replicated across samples: high AIR and self-harm, lower depressive and manic scores; high AIR, manic symptoms, and self-harm; high depression symptoms; three smaller sets with high manic and depressive symptoms and moderate AIR; and two high rates of bipolar diagnoses and family bipolar history. Two sets were high on both AIR and mood symptoms, were the most impaired, and had the highest comorbidity.

CONCLUSIONS

Analyses support an empirical definition of AIR, separate from mood disorders. Profile sets distinguished by level of AIR and mood symptoms differed in demographic and diagnostic characteristics as well as functioning. Importantly, a set emerged with high AIR but low mood indicators and with high rates of ADHD and ODD, but not mood disorder.

Evaluation and treatment of older-age bipolar disorder: a narrative review

Objectives

This narrative review aims to synthesize information from the literature regarding older-age bipolar disorder (OABD) in order to provide up-to-date information on this important illness.

Methods

We searched Ovid (Medline, Embase and PsychInfo) on October 1, 2020, using the keywords “bipolar disorder”, “older adults” and “elderly” to identify relevant articles on OABD. Additionally, the bibliography of identified articles was reviewed for pertinent studies.

Discussions

OABD is a term that is used to describe bipolar disorder (BD) occurring amongst individuals ≥50 years of age. Evidence indicates that OABD accounts for a quarter of all cases of BD. When compared to individuals with early-onset BD, individuals with OABD have a greater association with cerebrovascular disease and other neurological disorders, less family history of mood disorders, and utilize almost four times the total amount of mental health services. In addition, they are four times more likely to have psychiatric hospitalizations when compared to age-matched controls. Despite a dearth of controlled studies on the use of pharmacotherapy amongst individuals with OABD, available evidence from mixed-age studies indicates the efficacy of commonly used medications in individuals with early-onset BD. Additionally, psychosocial treatments have been found to be effective as adjunctive management strategies amongst individuals with OABD. Furthermore, electroconvulsive therapy may be effective in the treatment of refractory cases of OABD.

Conclusions

There is a great need for an improved understanding of the phenomenology and neurobiology of OABD. Additionally, research into effective treatments for this serious psychiatric disorder will mitigate the suffering of individuals with OABD.