Department of Psychiatry, National Medical Center, Eulji-ro 245, Jung-gu, Seoul 04564, Korea.
Institute for Public Healthcare, National Medical Center, Eulji-ro 245, Jung-gu, Seoul 04564, Korea.
Int J Environ Res Public Health. 2022 Jan 19;19(3):1092. doi: 10.3390/ijerph19031092.
The objective of this study was to investigate the predictors for new-onset mental disorders among patients with mild to moderate COVID-19 illness during hospitalization. A retrospective cohort study was performed in patients with confirmed COVID-19 admitted to a nationally designated hospital between 1 February and 30 June 2020. Demographic, clinical, psychological assessments, and psychiatric outcomes were obtained from electronic medical record review. Multivariate logistic regression analysis was used to identify predictors of new-onset mental disorders. Among 185 patients, 130 had no history of mental disorders or cognitive impairment at the time of admission. Of 130 patients, 29 (22.3%) were newly diagnosed with mental disorders during hospitalization. The following factors were significantly associated with an increased risk of a psychiatric diagnosis: Charlson comorbidity index core ≥1 (adjusted odds ratio (aOR) = 5.115, 95% confidence interval (CI): 1.737-15.058), length of stay (aOR per 1-day increase = 1.067, 95% CI: 1.035-1.100), and self-reported depressive symptoms at the time of admission (aOR = 5.357, 95% CI: 1.745-16.444). The predictive accuracy of combining these risk factors was relatively high (area under curve = 0.851, 95% CI: 0.778-0.923). These potential risk factors could help to predict the new-onset mental disorder among hospitalized patients with COVID-19.
本研究旨在探讨 COVID-19 轻症和中度患者住院期间新发精神障碍的预测因素。对 2020 年 2 月 1 日至 6 月 30 日期间在一家国家级指定医院确诊为 COVID-19 的患者进行了回顾性队列研究。从电子病历回顾中获得了人口统计学、临床、心理评估和精神科结局数据。采用多变量逻辑回归分析来确定新发精神障碍的预测因素。在 185 名患者中,有 130 名在入院时没有精神障碍或认知障碍史。在这 130 名患者中,有 29 名(22.3%)在住院期间被新诊断为精神障碍。以下因素与精神病诊断风险增加显著相关:Charlson 合并症指数核心≥1(调整后的优势比(aOR)=5.115,95%置信区间(CI):1.737-15.058),住院时间(每增加 1 天 aOR=1.067,95%CI:1.035-1.100),以及入院时自我报告的抑郁症状(aOR=5.357,95%CI:1.745-16.444)。结合这些危险因素的预测准确性相对较高(曲线下面积=0.851,95%CI:0.778-0.923)。这些潜在的危险因素有助于预测 COVID-19 住院患者新发精神障碍。