Department of Psychiatry, NYU Langone Health, 1 Park Avenue, New York, NY, USA.
Department of Population Health, Division of Biostatistics, NYU School of Medicine, 180 Madison Avenue, New York, NY, USA.
Schizophr Bull. 2023 Jan 3;49(1):34-42. doi: 10.1093/schbul/sbac043.
Disengagement from treatment is common in first episode schizophrenia (FES) and is associated with poor outcomes. Our aim was to determine whether hippocampal subfield volumes predict disengagement during maintenance treatment of FES.
FES patients were recruited from sites in Boston, New York, Shanghai, and Changsha. After stabilization on antipsychotic medication, participants were randomized to add-on citalopram or placebo and followed for 12 months. Demographic, clinical and cognitive factors at baseline were compared between completers and disengagers in addition to volumes of hippocampal subfields.
Baseline data were available for 95 randomized participants. Disengagers (n = 38, 40%) differed from completers (n = 57, 60%) by race (more likely Black; less likely Asian) and in more alcohol use, parkinsonism, negative symptoms and more impairment in visual learning and working memory. Bilateral dentate gyrus (DG), CA1, CA2/3 and whole hippocampal volumes were significantly smaller in disengagers compared to completers. When all the eight volumes were entered into the model simultaneously, only left DG volume significantly predicted disengagement status and remained significant after adjusting for age, sex, race, intracranial volume, antipsychotic dose, duration of untreated psychosis, citalopram status, alcohol status, and smoking status (P < .01). Left DG volume predicted disengagement with 57% sensitivity and 83% specificity.
Smaller left DG was significantly associated with disengagement status over 12 months of maintenance treatment in patients with FES participating in a randomized clinical trial. If replicated, these findings may provide a biomarker to identify patients at risk for disengagement and a potential target for interventions.
首发精神分裂症(FES)患者中断治疗较为常见,且与不良结局相关。本研究旨在确定海马亚区体积是否可预测 FES 维持治疗期间的脱失。
从波士顿、纽约、上海和长沙的研究点招募 FES 患者。在抗精神病药物稳定后,参与者被随机分配至加用西酞普兰或安慰剂,并随访 12 个月。除了海马亚区体积外,我们还比较了脱落者(n=38,40%)和完成者(n=57,60%)之间的人口统计学、临床和认知因素。
共纳入 95 名随机参与者的基线数据。脱落者与完成者在种族(黑人更多,亚洲人更少)和更多的酒精使用、帕金森病、阴性症状以及更严重的视觉学习和工作记忆损害方面存在差异。与完成者相比,脱落者双侧齿状回(DG)、CA1、CA2/3 和整个海马体积明显较小。当将所有 8 个体积同时纳入模型时,仅左侧 DG 体积与脱失状态显著相关,在调整年龄、性别、种族、颅内体积、抗精神病药物剂量、未治疗精神病持续时间、西酞普兰状态、酒精状态和吸烟状态后仍有统计学意义(P<.01)。左侧 DG 体积对脱失的预测敏感性为 57%,特异性为 83%。
在参加随机临床试验的 FES 患者中,12 个月维持治疗期间左侧 DG 较小与脱失状态显著相关。如果得到证实,这些发现可能为识别有脱失风险的患者提供生物标志物,并为干预措施提供潜在靶点。