Predicting work ability impairment in post COVID-19 patients: a machine learning model based on clinical parameters.

The Post COVID-19 condition (PCC) is a complex disease affecting health and everyday functioning. This is well reflected by a patient's inability to work (ITW). In this study, we aimed to investigate factors associated with ITW (1) and to design a machine learning-based model for predicting ITW (2) twelve months after baseline.

Lost and found: dynamics of relationship and employment status over time in people with affective and psychotic spectrum disorders.

Background: Employment and relationship are crucial for social integration. However, individuals with major psychiatric disorders often face challenges in these domains.

Aims: We investigated employment and relationship status changes among patients across the affective and psychotic spectrum - in comparison with healthy controls, examining whether diagnostic groups or functional levels influence these transitions.

Contrasting genetic burden for bipolar disorder: Early onset versus late onset in an older adult bipolar disorder sample.

Older Adults with Bipolar Disorder (OABD) represent a heterogeneous group, including those with early and late onset of the disorder. Recent evidence shows both groups have distinct clinical, cognitive, and medical features, tied to different neurobiological profiles. This study explored the link between polygenic risk scores (PRS) for bipolar disorder (PRS-BD), schizophrenia (PRS-SCZ), and major depressive disorder (PRS-MDD) with age of onset in OABD.

Reductions in inpatient and outpatient mental health care in germany during the first year of the COVID-19 pandemic - What can we learn for a better crisis preparedness?

Background: During the COVID-19 pandemic, reports from several European mental health care systems hinted at important changes in utilization. So far, no study examined changes in utilization in the German mental health care inpatient and outpatient mental health care system comprehensively.

Methods: This longitudinal observational study used claims data from two major German statutory health insurances, AOK PLUS and BKK, covering 162,905 inpatients and 2,131,186 outpatients with mental disorders nationwide.