Publications by authors named "Andreas B Hofmann"
Article Synopsis
- Advances in medical data and computer technology are enabling new research opportunities through machine learning (ML), which leverages complex algorithms to find patterns in large datasets.
- ML is particularly useful for studying multifactorial issues, such as mental health and forensic psychiatry, allowing researchers to quantify the effectiveness of their statistical models.
- The study analyzed 48 sociodemographic variables in 370 offender and 370 non-offender schizophrenia patients, using gradient boosting as the best algorithm, but found the ability to discriminate between the two groups based on these variables was limited, with an AUC of 0.65 indicating poor statistical discrimination.
Background: While several studies in cerebral amyloid angiopathy (CAA) focus on cognitive function, data on neuropsychiatric symptoms (NPS) and lifelong mental activities in these patients are scarce. Since NPS are associated with functional impairment, faster cognitive decline and faster progression to death, replication studies in more diverse settings and samples are warranted.
Methods: We prospectively recruited n = 69 CAA patients and n = 18 cognitively normal controls (NC).
Background: Suffering from schizophrenia spectrum disorder (SSD) has been well-established as a risk factor for offending. However, the majority of patients with an SSD do not show aggressive or criminal behavior. Yet, there is little research on clinical key features distinguishing offender from non-offender patients.
View Article and Find Full Text PDFThe Brief Psychiatric Rating Scale (BPRS) was originally conceived to assess psychopathology in several psychiatric disorders, making it an appropriate candidate to be used as a transdiagnostic instrument. We analyzed the utility and validity of the BPRS in a diagnostically heterogeneous sample of 600 psychiatric inpatients. As a comparator, we chose the mini-ICF-APP, a scale used to measure functioning and impairment across the diagnostic spectrum.
View Article and Find Full Text PDFIntroduction: Day and time of admission influence treatment outcomes and prognosis in several medical specialties; this seems related to resources' ability. It is largely unknown whether this also applies to mental health services. We investigate the relationship between time of admission, patients' demographic and clinical profile, and treatment outcomes.
View Article and Find Full Text PDFBackground: Despite multiple ethical issues and little evidence of their efficacy, compulsory admission and treatment are still common psychiatric practice. Therefore, we aimed to assess potential differences in treatment and outcome between voluntarily and compulsorily admitted patients.
Methods: We extracted clinical data from inpatients treated in an academic hospital in Zurich, Switzerland between January 1, 2013 and December 31, 2019.