Illness trajectory from prodromal symptoms to incident bipolar disorder and schizophrenia

Background: The concept of prodrome is highly variable but, when applied retrospectively in cohorts who progress to meet diagnostic criteria for bipolar disorder (BD) and schizophrenia (SZ), it can contribute to clarify early origins and trajectory of the illness. In the context of race and ethnicity, studies with population-based and registry-based cohorts, such as the Rochester Epidemiology Project (REP), can potentially identify, through retrospective assessment of the prodromes of BD and SZ, differences while addressing the heterogeneous nature of the illness. Objective: We aim to describe and compare the illness trajectories of individuals with BD or SZ prior to the incident case. Additionally, we assessed for differences in access to healthcare in racially diverse patients and within those with schizophrenia, we sought to analyze differences in prodrome duration based on place of birth (U.S. born vs. foreign born). Methods: Using a records-linkage system from Minnesota, we searched for subjects born after 1985 that had been diagnosed with BD or SZ. Cases were ascertained for diagnosis and identification of the first episode of mania or psychosis. Using the medical records we extracted data from their medical history prior to their first episode. Results: We identified 205 cases with the first episode of psychosis or mania (SZ = 131; BD = 74). The mean age of onset for BD was 21.34 years and 20.45 years for SZ. We did not find a difference between the mean duration of the trajectory of mental health problems to a first episode. Both disorders were preceded by high healthcare utilization and had similar rates of psychiatric diagnoses, substance use, and prescriptions of psychiatric medications. SZ was more common in Non-white patients and in immigrants and BD had a higher rate of depressive disorder and adjustment disorders. Conclusions: Results from this study provide critical information on social and clinical features that precede a first manic or psychotic episode that may help early illness detection, identification of individuals at high risk of BD and SZ and address health disparities

Racial differences in pathways to care preceding first episode mania or psychosis: a historical cohort prodromal study

BackgroundThere is evidence suggesting racial disparities in diagnosis and treatment in bipolar disorder (BD) and schizophrenia (SZ). The purpose of this study is to compare psychiatric diagnoses and psychotropic use preceding a first episode of mania (FEM) or psychosis (FEP) in racially diverse patients.MethodsUsing a comprehensive medical records linkage system (Rochester Epidemiology Project, REP), we retrospectively identified individuals diagnosed with BD or SZ and a documented first episode of mania or psychosis. Illness trajectory before FEP/FEM were characterized as the time from first visit for a mental health complaint to incident case. Pathways to care and clinical events preceding FEP/FEM were compared based on subsequent incident case diagnosis (BD or SZ) and self-reported race (White vs. non-White).ResultsA total of 205 (FEM = 74; FEP = 131) incident cases were identified in the REP. Duration of psychiatric antecedents was significantly shorter in non-White patients, compared to White patients (2.2 ± 4.3 vs. 7.4 ± 6.6 years; p < 0.001) with an older age at time of first visit for a mental health complaint (15.7 ± 6.3 vs. 11.1 ± 6.0 years; p = 0.005). There were no significant differences by race in FEM pathway to care or age of first seeking mental health. Overall non-White patients had lower rates of psychotropic use.ConclusionThese data are unable to ascertain reasons for shorter duration of psychiatric antecedents and later age of seeking care, and more broadly first age of initial symptom presentation. If symptoms are confirmed to be earlier than first time seeking care in both groups, it would be important to identify barriers that racial minorities face to access timely psychiatric care and optimize early intervention strategies

Digital Phenotyping for Mood Disorders: Methodology-Oriented Pilot Feasibility Study

BackgroundIn the burgeoning area of clinical digital phenotyping research, there is a dearth of literature that details methodology, including the key challenges and dilemmas in developing and implementing a successful architecture for technological infrastructure, patient engagement, longitudinal study participation, and successful reporting and analysis of diverse passive and active digital data streams. ObjectiveThis article provides a narrative rationale for our study design in the context of the current evidence base and best practices, with an emphasis on our initial lessons learned from the implementation challenges and successes of this digital phenotyping study. MethodsWe describe the design and implementation approach for a digital phenotyping pilot feasibility study with attention to synthesizing key literature and the reasoning for pragmatic adaptations in implementing a multisite study encompassing distinct geographic and population settings. This methodology was used to recruit patients as study participants with a clinician-validated diagnostic history of unipolar depression, bipolar I disorder, or bipolar II disorder, or healthy controls in 2 geographically distinct health care systems for a longitudinal digital phenotyping study of mood disorders. ResultsWe describe the feasibility of a multisite digital phenotyping pilot study for patients with mood disorders in terms of passively and actively collected phenotyping data quality and enrollment of patients. Overall data quality (assessed as the amount of sensor data obtained vs expected) was high compared to that in related studies. Results were reported on the relevant demographic features of study participants, revealing recruitment properties of age (mean subgroup age ranged from 31 years in the healthy control subgroup to 38 years in the bipolar I disorder subgroup), sex (predominance of female participants, with 7/11, 64% females in the bipolar II disorder subgroup), and smartphone operating system (iOS vs Android; iOS ranged from 7/11, 64% in the bipolar II disorder subgroup to 29/32, 91% in the healthy control subgroup). We also described implementation considerations around digital phenotyping research for mood disorders and other psychiatric conditions. ConclusionsDigital phenotyping in affective disorders is feasible on both Android and iOS smartphones, and the resulting data quality using an open-source platform is higher than that in comparable studies. While the digital phenotyping data quality was independent of gender and race, the reported demographic features of study participants revealed important information on possible selection biases that may result from naturalistic research in this domain. We believe that the methodology described will be readily reproducible and generalizable to other study settings and patient populations given our data on deployment at 2 unique sites

Candidate gene polymorphisms and clinical implications of the use of psychostimulants in adults with mood or attentional deficit disorders: A systematic review

Introduction: Psychostimulants are FDA-approved for treating attention deficit hyperactivity disorder (ADHD). They are often prescribed off-label for mood disorders (in the majority of cases for augmentation of major depressive disorder [MDD] or treatment-resistant cases) with particular concerns in patients with comorbid ADHD and bipolar disorder (BD). We aimed to systematically appraise the current knowledge on genetic associations of psychostimulant treatment responses for mood disorders and ADHD. Methods: A comprehensive search was conducted from database inception until March 21st, 2023. We included randomized controlled studies and non-randomized studies of intervention in adults (>18 years) with a DSM-IV/DSM-5 diagnosis of MDD, BD, or ADHD. We specifically included studies that reported the use of psychostimulants (e.g., methylphenidate [MPH]) and explored genetic associations with dopamine receptors and transporters (DRD4, DRD2, SLC6A3) reuptake inhibitors, norepinephrine transporters (SLC6A2) and serotonin transporters (SLC6A4). Results: We identified and screened 1,479 abstracts and selected 17 articles for full-text review. Five studies met the inclusion criteria (N=498; mean age 37.13±12.26), including two randomized controlled trials (n= 121, mean age 41.16±14.86) which analyzed genetic polymorphisms in SLC6A3 and SLC6A4. Three non-randomized intervention studies were included: one study (n=171, mean age 35±11) analyzed several SLC6A3 variants, and two studies (n=206, mean age 36.5±11.01) analyzed DRD4, SLC6A3, and SLC6A4 variants. Evidence from the selected studies did not consistently show statistically significant differences in treatment response for either MDD or ADHD in association with genetic polymorphisms. No studies evaluating BD were found, and MPH was the only psychostimulant assessed in the selected articles. The most reported adverse events were moderate nausea, anxiety, and polyuria, with a higher percentage for headaches (38.1%), gastrointestinal complaints (21.2%), and decreased appetite (19.08%). None of the included studies reported serious adverse events which required discontinuation. Conclusion: Further research is necessary to determine the implications of genetic polymorphisms on clinical response to stimulants with mood disorders and ADHD. Moreover, studies examining a broader range of stimulant medications as well as duration/dose of treatment, including individuals with BD, are crucial to understanding possible genetic influences on treatment response with the potential to inform personalized treatment strategies-optimization of interventions for individuals with mood disorders and ADHD

Pharmacogenomic overlap between antidepressant treatment response in major depression & antidepressant associated treatment emergent mania in bipolar disorder

Abstract There is increasing interest in individualizing treatment selection for more than 25 regulatory approved treatments for major depressive disorder (MDD). Despite an inconclusive efficacy evidence base, antidepressants (ADs) are prescribed for the depressive phase of bipolar disorder (BD) with oftentimes, an inadequate treatment response and or clinical concern for mood destabilization. This study explored the relationship between antidepressant response in MDD and antidepressant-associated treatment emergent mania (TEM) in BD. We conducted a genome-wide association study (GWAS) and polygenic score analysis of TEM and tested its association in a subset of BD-type I patients treated with SSRIs or SNRIs. Our results did not identify any genome-wide significant variants although, we found that a higher polygenic score (PGS) for antidepressant response in MDD was associated with higher odds of TEM in BD. Future studies with larger transdiagnostic depressed cohorts treated with antidepressants are encouraged to identify a neurobiological mechanism associated with a spectrum of depression improvement from response to emergent mania