Gasnier Matthieu, Pinson Pierre, Beeker Nathanael, Truong-Allié Camille, Becquemont Laurent, Falissard Bruno, Corruble Emmanuelle, Colle Romain
Service Hospitalo-Universitaire de Psychiatrie de Bicêtre, Mood Center Paris Saclay, Assistance Publique-Hôpitaux de Paris, Hôpitaux Universitaires Paris-Saclay, Hôpital de Bicêtre, Paris, Le Kremlin Bicêtre, France.
MOODS Team, INSERM 1018, CESP (Centre de Recherche en Epidémiologie et Santé des Populations), Université Paris-Saclay, Faculté de Médecine Paris-Saclay, Paris, Le Kremlin Bicêtre, France.
Mol Psychiatry. 2025 Apr;30(4):1329-1337. doi: 10.1038/s41380-024-02739-7. Epub 2024 Sep 16.
New-onset psychiatric disorders are frequent after COVID-19. We aim to determine whether acute COVID-19 severity markers can predict post-COVID new-onset psychiatric disorders. We conducted an electronic health records (EHR) cohort study of patients hospitalized for COVID-19 and without any known history of psychiatric disorders. Patients were included between January 2020 and September 2022 in one of the 36 university hospitals of the Assistance Publique - Hôpitaux de Paris. Acute COVID-19 clinical and biological severity markers were recorded during hospitalization for COVID-19. Psychiatric ICD-10 diagnoses were recorded up to 2 years and 9 months after hospitalization for COVID-19. Predictors of post-COVID new-onset psychiatric disorders were identified based on Cox regression models and sensitivity analyses. Predictive scores were built and tested in age- and sex-stratified populations. A total 34,489 patients hospitalized for COVID-19 were included; 3717 patients (10.8%) had at least one post-COVID new-onset psychiatric disorder. Hospital stay >7 days (HR = 1.72, 95%CI [1.59-1.86], p < 0.001), acute delirium (HR = 1.49, 95%CI [1.28-1.74], p < 0.001), elevated monocyte count (HR = 1.14, 95%CI [1.06-1.23], p < 0.001) and elevated plasma CRP (HR = 0.92, 95%CI [0.86-0.99], p = 0.04) independently predicted post-COVID new-onset psychiatric disorders. Sensitivity analyses confirmed hospital stay >7 days, acute delirium, and elevated monocyte count as predictors. Predictive scores based on these variables had good 12-month positive predictive values, up to 7.5 times more accurate than random in women < 65 years. In conclusion, hospital stay >7 days, acute delirium, and elevated monocyte count during acute COVID-19 predict post-COVID new-onset psychiatric disorders.
新冠病毒感染(COVID-19)后新发精神障碍很常见。我们旨在确定急性COVID-19严重程度指标是否能预测COVID-19后新发精神障碍。我们对因COVID-19住院且无任何已知精神障碍病史的患者进行了一项电子健康记录(EHR)队列研究。2020年1月至2022年9月期间,巴黎公共救助医院集团的36家大学医院中的一家纳入了患者。在COVID-19住院期间记录急性COVID-19临床和生物学严重程度指标。在COVID-19住院后长达2年9个月的时间里记录精神科国际疾病分类第十版(ICD-10)诊断。基于Cox回归模型和敏感性分析确定COVID-19后新发精神障碍的预测因素。在按年龄和性别分层的人群中构建并测试预测分数。总共纳入了34489例因COVID-19住院的患者;3717例患者(10.8%)至少有一种COVID-19后新发精神障碍。住院时间>7天(风险比[HR]=1.72,95%置信区间[CI][1.59 - 1.86],p<0.001)、急性谵妄(HR=1.49,95%CI[1.28 - 1.74],p<0.001)、单核细胞计数升高(HR=1.14,95%CI[1.06 - 1.23],p<0.001)和血浆C反应蛋白(CRP)升高(HR=0.92,95%CI[0.86 - 0.99],p=0.04)独立预测COVID-19后新发精神障碍。敏感性分析证实住院时间>7天、急性谵妄和单核细胞计数升高为预测因素。基于这些变量的预测分数具有良好的12个月阳性预测值,在65岁以下女性中比随机预测准确多达7.5倍。总之,急性COVID-19期间住院时间>7天、急性谵妄和单核细胞计数升高可预测COVID-19后新发精神障碍。