Buckle Jessica, Kavanagh Gail, Connolly Aries, Arora Sophie, Forshall Emily, Murphy Titus, Pereira Marco, Whale Richard
Department of Medical Education, Brighton and Sussex Medical School, UK.
Early Intervention for Psychosis Service, Sussex Partnership NHS Foundation Trust, UK.
Early Interv Psychiatry. 2025 Jan;19(1):e13586. doi: 10.1111/eip.13586. Epub 2024 Jun 21.
Clinical studies following a first episode of psychosis (FEP) have increasingly exposed the complexity of identifying predictive outcome variables. We aimed to explore the utility of NEET status (not in education, employment or training) at FEP onset in predicting high threshold clinical remission (absence of positive symptoms and off antipsychotic medication for 6 months) at 3 years following treatment with an early intervention for psychosis service.
We studied an established retrospective naturalistic cohort of 354 patients with FEP (the S1P cohort).
Baseline NEET status was identified in 172 patients (49%) and was significantly associated with mean duration of untreated psychosis (p = .035). Only 64 (21%) achieved defined remission criteria by 3 years. Multivariate logistic regression analysis revealed baseline NEET status as the only variable significantly associated with remission status (p < .001).
NEET may represent an important predictive variable of symptomatic outcomes which requires prospective evaluation.
首次发作精神病(FEP)后的临床研究越来越多地揭示了识别预测性结局变量的复杂性。我们旨在探讨FEP发作时的“尼特”状态(未接受教育、就业或培训)在预测接受精神病早期干预服务治疗3年后达到高阈值临床缓解(无阳性症状且停用抗精神病药物6个月)方面的效用。
我们研究了一个已建立的354例FEP患者的回顾性自然队列(S1P队列)。
172例患者(49%)被确定为基线“尼特”状态,且与未治疗精神病的平均持续时间显著相关(p = 0.035)。到3年时,只有64例(21%)达到明确的缓解标准。多因素逻辑回归分析显示,基线“尼特”状态是与缓解状态显著相关的唯一变量(p < 0.001)。
“尼特”状态可能是症状性结局的一个重要预测变量,需要进行前瞻性评估。