West China Biomedical Big Data Center, West China Hospital, Sichuan University, Chengdu, China.
Medical Big Data Center, Sichuan University, Chengdu, China.
Lancet Healthy Longev. 2020 Nov;1(2):e69-e79. doi: 10.1016/S2666-7568(20)30013-1. Epub 2020 Oct 26.
Psychiatric morbidities have been associated with a risk of severe infections through compromised immunity, health behaviours, or both. However, data are scarce on the association between multiple types of pre-pandemic psychiatric disorders and COVID-19. We aimed to assess the association between pre-pandemic psychiatric disorders and the subsequent risk of COVID-19 using UK Biobank.
For this cohort analysis, we included participants from UK Biobank who were registered in England and excluded individuals who died before Jan 31, 2020, (the start of the COVID-19 outbreak in the UK) or had withdrawn from UK Biobank. Participants diagnosed with a psychiatric disorder before Jan 31 were included in the group of individuals with pre-pandemic psychiatric disorders, whereas participants without a diagnosis before the outbreak were included in the group of individuals without pre-pandemic psychiatric disorders. We used the Public Health England dataset, UK Biobank hospital data, and death registers to collect data on COVID-19 cases. To examine the relationship between pre-pandemic psychiatric disorders and susceptibility to COVID-19, we used logistic regression models to estimate odds ratios (ORs), controlling for multiple confounders and somatic comorbidities. Key outcomes were all COVID-19, COVID-19 specifically diagnosed in inpatient care, and COVID-19-related deaths. ORs were also estimated separately for each psychiatric disorder and on the basis of the number of pre-pandemic psychiatric disorders. As a positive disease control, we repeated analyses for hospitalisation for other infections.
We included 421 014 UK Biobank participants in our study and assessed their COVID-19 status between Jan 31 and July 26, 2020. 50 809 participants were diagnosed with psychiatric disorders before the outbreak, while 370 205 participants had no psychiatric disorders. The mean age at outbreak was 67·80 years (SD 8·12). We observed an elevated risk of COVID-19 among individuals with pre-pandemic psychiatric disorders compared with that of individuals without such conditions. The fully adjusted ORs were 1·44 (95% CI 1·28-1·62) for All COVID-19 cases, 1·55 (1·34-1·78) for Inpatient COVID-19 cases, and 2·03 (1·59-2·59) for COVID-19-related deaths. We observed excess risk, defined as risk that increased with the number of pre-pandemic psychiatric disorders, across all diagnostic categories of pre-pandemic psychiatric disorders. We also observed an association between psychiatric disorders and elevated risk of hospitalisation due to other infections (OR 1·74, 95% CI 1·58-1·93).
Our findings suggest that pre-existing psychiatric disorders are associated with an increased risk of COVID-19. These findings underscore the need for surveillance of and care for populations with pre-existing psychiatric disorders during the COVID-19 pandemic.
National Natural Science Foundation of China.
精神疾病与严重感染的风险相关,其风险可能源于免疫功能受损、健康行为或两者兼有。然而,关于多种类型的大流行前精神障碍与 COVID-19 之间的关联的数据还很有限。我们旨在使用英国生物库评估大流行前精神障碍与 COVID-19 后续风险之间的关联。
在这项队列分析中,我们纳入了在英格兰注册的英国生物库参与者,并排除了在 2020 年 1 月 31 日(英国 COVID-19 爆发开始)之前死亡或已退出英国生物库的参与者。在 1 月 31 日之前被诊断患有精神障碍的参与者被纳入大流行前有精神障碍的人群,而在疫情爆发前没有被诊断出患有精神障碍的参与者则被纳入没有大流行前精神障碍的人群。我们使用英国公共卫生部数据集、英国生物库医院数据和死亡登记册收集 COVID-19 病例数据。为了研究大流行前精神障碍与 COVID-19 易感性之间的关系,我们使用逻辑回归模型来估计比值比(OR),同时控制了多种混杂因素和躯体合并症。主要结局是所有 COVID-19、在住院治疗中确诊的 COVID-19 和 COVID-19 相关死亡。还分别为每种精神障碍和大流行前精神障碍的数量估计了 OR。作为阳性疾病对照,我们重复了其他感染住院的分析。
我们纳入了 421014 名英国生物库参与者进行研究,并在 2020 年 1 月 31 日至 7 月 26 日之间评估了他们的 COVID-19 状况。50809 名参与者在疫情爆发前被诊断患有精神障碍,而 370205 名参与者没有精神障碍。爆发时的平均年龄为 67.80 岁(SD 8.12)。我们观察到与没有这些情况的人群相比,大流行前有精神障碍的人群 COVID-19 的风险增加。完全调整后的 OR 分别为:所有 COVID-19 病例为 1.44(95%CI 1.28-1.62)、住院 COVID-19 病例为 1.55(1.34-1.78)和 COVID-19 相关死亡为 2.03(1.59-2.59)。我们观察到在所有大流行前精神障碍的诊断类别中,风险都随着大流行前精神障碍数量的增加而增加。我们还观察到精神障碍与因其他感染而住院的风险增加之间存在关联(OR 1.74,95%CI 1.58-1.93)。
我们的研究结果表明,先前存在的精神障碍与 COVID-19 的风险增加有关。这些结果强调了在 COVID-19 大流行期间需要对先前存在精神障碍的人群进行监测和护理。
国家自然科学基金。