Real-world digital implementation of the Psychosis Polyrisk Score (PPS): A pilot feasibility study
| Autor: | Paolo Fusar-Poli, Amir Englund, Dominic Oliver, Philip McGuire, Edward Chesney, Rudolf Uher, Abraham Reichenberg, Joaquim Radua, Giulia Spada |
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| Rok vydání: | 2020 |
| Předmět: |
Risk
Psychosis medicine.medical_specialty education Population Environment Article Cohort Studies 03 medical and health sciences 0302 clinical medicine medicine Humans Genetic risk health care economics and organizations Biological Psychiatry education.field_of_study Potential risk business.industry Polygenic risk Early psychosis Clinical high risk medicine.disease 030227 psychiatry Psychiatry and Mental health Psychotic Disorders Implementation Potential biomarkers Physical therapy Feasibility Studies Biomarker (medicine) Prediction business 030217 neurology & neurosurgery Cohort study |
| Zdroj: | Schizophrenia Research |
| ISSN: | 0920-9964 |
| DOI: | 10.1016/j.schres.2020.04.015 |
| Popis: | Background The Psychosis Polyrisk Score (PPS) is a potential biomarker integrating non-purely genetic risk/protective factors for psychosis that may improve identification of individuals at risk and prediction of their outcomes at the individual subject level. Biomarkers that are easy to administer are direly needed in early psychosis to facilitate clinical implementation. This study digitally implements the PPS and pilots its feasibility of use in the real world. Methods The PPS was implemented digitally and prospectively piloted across individuals referred for a CHR-P assessment (n = 16) and healthy controls (n = 66). Distribution of PPS scores was further simulated in the general population. Results 98.8% of individuals referred for a CHR-P assessment and healthy controls completed the PPS assessment with only one drop-out. 96.3% of participants completed the assessment in under 15 min. Individuals referred for a CHR-P assessment had high PPS scores (mean = 6.2, SD = 7.23) than healthy controls (mean = −1.79, SD = 6.78, p |
| Databáze: | OpenAIRE |
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