Neufang, S; Schultze-Lutter, F; Theodoridou, A; walitza, S; Traber-Walker, N; Rössler, W; Heekeren, K; Walger, P; Schimmelmann, B K E; Michel, C (10 July 2022). Prediction of the functional outcome in Children and Adolescents with and without clinical high risk- a Machine Learning Approach (Unpublished). In: IEPA's 14th International Conference on Early Intervention in Mental Health. Lausanne, Switzerland. 10.07.-12.07.2023.
Aims: Studies on the early detection of psychosis have shown that numerous patients at clinical high risk (CHR) do not develop a manifest psychosis but, nevertheless, do present poor clinical outcomes. Therefore, psychosocial functioning has become a valuable parameter to quantify disease state in CHR patients.
Methods: Within a Swiss-German naturalistic longitudinal study, we examined psychosocial functioning in 8- to 17-year-olds using the Social and Occupational Functioning Scale (sofas) within 2 years. The sample included 69 clinical high-risk patients, 147 inpatients not suspected to develop psychosis and 110 community subjects. Participants were examined with the Schizophrenia Proneness Instrument-Child & Youth version (SPI-CY), the Structured Interview for Psychosis-Risk Syndromes (SIPS), the Structured Clinical Interview for DSM-IV and a neurocognitive test battery. We focussed on participants with poor psychosocial functioning (sofas < 70) at T0 and differentiated between 'remaining impaired' versus 'recovered' at either T1 or T2. An external validation was performed with a 13- to 17-year-old CHR sample of an independent prospective naturalistic Swiss study (N=41, 19 recovered).
Results: One hundred and ninety participants presented a recovered psychosocial functioning in the model developing sample. Twenty-three significant predictors were identified. Using these predictors only, BAC increased to 75.9% (sensitivity: 67.9%, specificity: 83.8%). External validation revealed a sufficient generalizability of BAC = 64.7% (sensitivity: 61.5%, specificity: 67.9%).
Conclusions: The higher number of predictors, compared to similar analyses in adults, indicate that predictions in children and adolescents might be more complex than in adults, due to ongoing developmental processes.
Item Type: |
Conference or Workshop Item (Speech) |
|---|---|
Division/Institute: |
04 Faculty of Medicine > University Psychiatric Services > University Hospital of Child and Adolescent Psychiatry and Psychotherapy |
UniBE Contributor: |
Schultze-Lutter, Frauke, Schimmelmann, Benno Karl Edgar, Michel, Chantal |
Subjects: |
600 Technology > 610 Medicine & health |
Language: |
English |
Submitter: |
Chantal Michel |
Date Deposited: |
21 Aug 2023 11:46 |
Last Modified: |
21 Aug 2023 11:46 |
URI: |
https://boris.unibe.ch/id/eprint/185605 |
Actions (login required)
 |
Edit item |