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临床试验/JPRN-UMIN000043345
JPRN-UMIN000043345已完成未知

Development and validation of a clinical prediction model for psychotic relapse within 12 months after discharge in people with schizophrenia - Development and validation of a clinical prediction model for psychotic relapse within 12 months after discharge in people with schizophrenia

Department of Health Promotion and Human Behavior, Kyoto University School of Medicine0 个研究点目标入组 805 人开始时间: 2021年2月20日最近更新:
适应症

试验速览

阶段
未知
状态
已完成
发起方
入组人数
805

研究概览

简要总结

The significant predictors were the number of previous hospitalizations (HR 1.42, 95% CI 1.22-1.64) and the current length of stay in days (HR 1.31, 95% CI 1.04-1.64). In model development for relapse, Harrells c-index was 0.59 (95% CI 0.55-0.63). The internal and internal-external validation for rehospitalization showed Harrells c-index to be 0.64 (95% CI 0.59-0.69) and 0.66 (95% CI 0.57-0.74), respectively. The calibration plot was found to be adequate

研究设计

研究类型
Observational

入排标准

年龄范围
18years-old 至 ot applicable(—)
性别
All

入选标准

  • 未提供

排除标准

  • Patients with the following conditions will be excluded: - Those who had been enrolled in this study with a previous episode of hospitalisation due to psychosis (i.e. a patient cannot be enrolled more than once during the study period) - Those with substance/medication-induced psychosis - Those with psychosis due to another medical condition, including peri-and postpartum psychosis and psychosis in dementia - Those with diagnosis in the inclusion criteria whose admission are not due to psychosis as judged by one of investigators - Those with diagnosis in the inclusion criteria with which one of investigators disagree due to the lack of sound reasoning - Those discharged from a non-acute ward - Those with a plan to be readmitted in the short period of time - Those with ambiguous diagnosis as judged by one of investigators - Those discharged to another psychiatric hospital - Those discharged to medical hospital

研究者

发起方
Department of Health Promotion and Human Behavior, Kyoto University School of Medicine

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