Healthy Brain and Mind Research Centre, School of Behavioural and Health Sciences, Australian Catholic University, Fitzroy, VIC, Australia.
Healthy Brain and Mind Research Centre, School of Behavioural and Health Sciences, Australian Catholic University, Fitzroy, VIC, Australia.
Clin Psychol Rev. 2024 Feb;107:102357. doi: 10.1016/j.cpr.2023.102357. Epub 2023 Nov 22.
Identification of the early warning signs (EWS) of relapse is key to relapse prevention in schizophrenia spectrum disorders, however, limitations to their precision have been reported. Substantial methodological innovations have recently been applied to the prediction of psychotic relapse and to individual psychotic symptoms. However, there has been no systematic review that has integrated findings across these two related outcomes and no systematic review of EWS of relapse for a decade.
We conducted a systematic review of EWS of psychotic relapse and the behavioural antecedents of worsening psychotic symptoms. Traditional EWS and ecological momentary assessment/intervention studies were included. We completed meta-analyses of the pooled sensitivity and specificity of EWS in predicting relapse, and for the prediction of relapse from individual symptoms.
Seventy two studies were identified including 6903 participants. Sleep, mood, and suspiciousness, emerged as predictors of worsening symptoms. Pooled sensitivity and specificity of EWS in predicting psychotic relapse was 71% and 64% (AUC value = 0.72). There was a large pooled-effect size for the model predicting relapse from individual symptom which did not reach statistical significance (d = 0.81, 95%CIs = -0.01, 1.63).
Important methodological advancements in the prediction of psychotic relapse in schizophrenia spectrum disorders are evident with improvements in the precision of prediction. Further efforts are required to translate these advances into effective clinical innovations.
识别精神分裂症谱系障碍复发的预警信号(EWS)是预防复发的关键,但据报道,它们的精确性存在局限性。最近,大量的方法学创新已经应用于预测精神病复发和个体精神病症状。然而,目前还没有一项系统综述能够整合这两个相关结果的发现,也没有一项针对复发预警信号的系统综述已经有十年了。
我们对精神病复发的预警信号和恶化精神病症状的行为前兆进行了系统综述。包括了传统的预警信号和生态瞬时评估/干预研究。我们对预警信号预测复发的敏感性和特异性进行了荟萃分析,并对个体症状预测复发进行了荟萃分析。
共确定了 72 项研究,包括 6903 名参与者。睡眠、情绪和怀疑是症状恶化的预测因素。预警信号预测精神病复发的敏感性和特异性分别为 71%和 64%(AUC 值为 0.72)。从个体症状预测复发的模型具有较大的 pooled-effect 大小,但未达到统计学意义(d=0.81,95%CI=-0.01, 1.63)。
精神分裂症谱系障碍中精神病复发预测的重要方法学进展明显提高了预测的准确性。需要进一步努力将这些进展转化为有效的临床创新。