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既往自身免疫与COVID-19病情加重相关:一项使用来自国家COVID队列协作组(N3C)数据的回顾性队列研究。

Pre-existing autoimmunity is associated with increased severity of COVID-19: A retrospective cohort study using data from the National COVID Cohort Collaborative (N3C).

作者信息

Yadaw Arjun S, Afzali Behdad, Hotaling Nathan, Sidky Hythem, Pfaff Emily R, Sahner David K, Mathé Ewy A

机构信息

National Center for Advancing Translational Sciences (NCATS), NIH, Rockville, MD, USA.

Immunoregulation Section, Kidney Diseases Branch, National Institute of Diabetes and Digestive and Kidney Diseases (NIDDK), NIH, Bethesda, MD, USA.

出版信息

medRxiv. 2023 Feb 4:2023.02.02.23285353. doi: 10.1101/2023.02.02.23285353.

DOI:10.1101/2023.02.02.23285353
PMID:36778264
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC9915827/
Abstract

IMPORTANCE

Identifying individuals with a higher risk of developing severe COVID-19 outcomes will inform targeted or more intensive clinical monitoring and management.

OBJECTIVE

To examine, using data from the National COVID Cohort Collaborative (N3C), whether patients with pre-existing autoimmune disease (AID) diagnosis and/or immunosuppressant (IS) exposure are at a higher risk of developing severe COVID-19 outcomes.

DESIGN SETTING AND PARTICIPANTS

A retrospective cohort of 2,453,799 individuals diagnosed with COVID-19 between January 1 , 2020, and June 30 , 2022, was created from the N3C data enclave, which comprises data of 15,231,849 patients from 75 USA data partners. Patients were stratified as those with/without a pre-existing diagnosis of AID and/or those with/without exposure to IS prior to COVID-19.

MAIN OUTCOMES AND MEASURES

Two outcomes of COVID-19 severity, derived from the World Health Organization severity score, were defined, namely life-threatening disease and hospitalization. Odds ratios (ORs) with 95% confidence intervals (CIs) were calculated using logistic regression models with and without adjustment for demographics (age, BMI, gender, race, ethnicity, smoking status), and comorbidities (cardiovascular disease, dementia, pulmonary disease, liver disease, type 2 diabetes mellitus, kidney disease, cancer, and HIV infection).

RESULTS

In total, 2,453,799 (16.11% of the N3C cohort) adults (age> 18 years) were diagnosed with COVID-19, of which 191,520 (7.81%) had a prior AID diagnosis, and 278,095 (11.33%) had a prior IS exposure. Logistic regression models adjusted for demographic factors and comorbidities demonstrated that individuals with a prior AID (OR = 1.13, 95% CI 1.09 - 1.17; =2.43E-13), prior exposure to IS (OR= 1.27, 95% CI 1.24 - 1.30; =3.66E-74), or both (OR= 1.35, 95% CI 1.29 - 1.40; =7.50E-49) were more likely to have a life-threatening COVID-19 disease. These results were confirmed after adjusting for exposure to antivirals and vaccination in a cohort subset with COVID-19 diagnosis dates after December 2021 (AID OR = 1.18, 95% CI 1.02 - 1.36; =2.46E-02; IS OR= 1.60, 95% CI 1.41 - 1.80; =5.11E-14; AID+IS OR= 1.93, 95% CI 1.62 - 2.30; =1.68E-13). These results were consistent when evaluating hospitalization as the outcome and also when stratifying by race and sex. Finally, a sensitivity analysis evaluating specific IS revealed that TNF inhibitors were protective against life-threatening disease (OR = 0.80, 95% CI 0.66-0.96; =1.66E-2) and hospitalization (OR = 0.80, 95% CI 0.73 - 0.89; =1.06E-05).

CONCLUSIONS AND RELEVANCE

Patients with pre-existing AID, exposure to IS, or both are more likely to have a life-threatening disease or hospitalization. These patients may thus require tailored monitoring and preventative measures to minimize negative consequences of COVID-19.

摘要

重要性

识别出发生严重新冠病毒病(COVID-19)后果风险较高的个体,将有助于进行有针对性的或更强化的临床监测与管理。

目的

利用国家新冠病毒队列协作项目(N3C)的数据,研究既往有自身免疫性疾病(AID)诊断和/或使用过免疫抑制剂(IS)的患者发生严重COVID-19后果的风险是否更高。

设计、设置和参与者:从N3C数据集中创建了一个回顾性队列,纳入了2020年1月1日至2022年6月30日期间诊断为COVID-19的2453799名个体,该数据集包含来自美国75个数据合作伙伴的15231849名患者的数据。患者被分层为既往有/无AID诊断和/或COVID-19之前有/无IS暴露者。

主要结局和测量指标

根据世界卫生组织严重程度评分定义了两个COVID-19严重程度结局,即危及生命的疾病和住院。使用逻辑回归模型计算比值比(OR)及95%置信区间(CI),模型分别调整了人口统计学因素(年龄、体重指数、性别、种族、民族、吸烟状况)和合并症(心血管疾病、痴呆、肺部疾病、肝脏疾病、2型糖尿病、肾脏疾病、癌症和HIV感染)。

结果

总共2453799名(占N3C队列的16.11%)成年人(年龄>18岁)被诊断为COVID-19,其中191520名(7.81%)既往有AID诊断,278095名(11.33%)既往使用过IS。调整人口统计学因素和合并症后的逻辑回归模型显示,既往有AID者(OR = 1.13,95%CI 1.09 - 1.17;P = 2.43E-13)、既往使用过IS者(OR = 1.27,95%CI 1.24 - 1.30;P = 3.66E-74)或两者皆有者(OR = 1.35,95%CI 1.29 - 1.40;P = 7.50E-49)发生危及生命的COVID-19疾病的可能性更高。在2021年12月之后有COVID-19诊断日期的队列亚组中,调整抗病毒药物暴露和疫苗接种情况后,这些结果得到了证实(AID:OR = 1.18,95%CI 1.02 - 1.36;P = 2.46E-02;IS:OR = 1.60,95%CI 1.41 - 1.80;P = 5.11E-14;AID + IS:OR = 1.93,95%CI 1.62 - 2.30;P = 1.68E-13)。在将住院作为结局进行评估时以及按种族和性别分层时,这些结果是一致的。最后,一项评估特定IS的敏感性分析显示,肿瘤坏死因子抑制剂对危及生命的疾病具有保护作用(OR = 0.80,95%CI 0.66 - 0.96;P = 1.66E-2)和住院(OR = 0.80,95%CI 0.73 - 0.89;P = 1.06E-05)。

结论和相关性

既往有AID、使用过IS或两者皆有的患者发生危及生命疾病或住院的可能性更高。因此,这些患者可能需要量身定制的监测和预防措施,以尽量减少COVID-19的负面后果。

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