Clinical outcomes of hospitalised patients with COVID-19 and chronic inflammatory and autoimmune rheumatic diseases: a multicentric matched cohort study

医学 队列 内科学 共病 队列研究 逻辑回归 羟基氯喹 糖尿病 重症监护室 慢性阻塞性肺病 肺炎 疾病 2019年冠状病毒病(COVID-19) 传染病(医学专业) 内分泌学
作者
José L. Pablos,María Galindo-Izquierdo,Loreto Carmona,A. Lledó,Miriam Retuerto,Ricardo Blanco,Miguel Á. González‐Gay,David Martínez‐López,Isabel Castrejón,José María Álvaro‐Gracia,David Fernandez-Fernández,Antonio Mera,Sara Manrique‐Arija,Natalia Mena‐Vázquez,Antonio Fernández‐Nebro
出处
期刊:Annals of the Rheumatic Diseases [BMJ]
卷期号:79 (12): 1544-1549 被引量:235
标识
DOI:10.1136/annrheumdis-2020-218296
摘要

The impact of inflammatory rheumatic diseases on COVID-19 severity is poorly known. Here, we compare the outcomes of a cohort of patients with rheumatic diseases with a matched control cohort to identify potential risk factors for severe illness.In this comparative cohort study, we identified hospital PCR+COVID-19 rheumatic patients with chronic inflammatory arthritis (IA) or connective tissue diseases (CTDs). Non-rheumatic controls were randomly sampled 1:1 and matched by age, sex and PCR date. The main outcome was severe COVID-19, defined as death, invasive ventilation, intensive care unit admission or serious complications. We assessed the association between the outcome and the potential prognostic variables, adjusted by COVID-19 treatment, using logistic regression.The cohorts were composed of 456 rheumatic and non-rheumatic patients, in equal numbers. Mean age was 63 (IQR 53-78) years and male sex 41% in both cohorts. Rheumatic diseases were IA (60%) and CTD (40%). Most patients (74%) had been hospitalised, and the risk of severe COVID-19 was 31.6% in the rheumatic and 28.1% in the non-rheumatic cohort. Ageing, male sex and previous comorbidity (obesity, diabetes, hypertension, cardiovascular or lung disease) increased the risk in the rheumatic cohort by bivariate analysis. In logistic regression analysis, independent factors associated with severe COVID-19 were increased age (OR 4.83; 95% CI 2.78 to 8.36), male sex (1.93; CI 1.21 to 3.07) and having a CTD (OR 1.82; CI 1.00 to 3.30).In hospitalised patients with chronic inflammatory rheumatic diseases, having a CTD but not IA nor previous immunosuppressive therapies was associated with severe COVID-19.
最长约 10秒,即可获得该文献文件

科研通智能强力驱动
Strongly Powered by AbleSci AI
科研通是完全免费的文献互助平台,具备全网最快的应助速度,最高的求助完成率。 对每一个文献求助,科研通都将尽心尽力,给求助人一个满意的交代。
实时播报
复杂绝悟完成签到,获得积分10
刚刚
夏虫完成签到,获得积分10
刚刚
guagua完成签到 ,获得积分10
刚刚
米白完成签到,获得积分10
1秒前
喜悦白梅完成签到,获得积分20
1秒前
所所应助XX橙采纳,获得10
1秒前
1秒前
2秒前
3秒前
momo完成签到,获得积分10
3秒前
4秒前
苯酚装醇发布了新的文献求助10
4秒前
CipherSage应助saxon_zhang采纳,获得10
5秒前
sally发布了新的文献求助30
6秒前
ding应助激情的含巧采纳,获得10
6秒前
6秒前
6秒前
6秒前
科研通AI6.3应助美好理理采纳,获得30
6秒前
毅诚菌完成签到,获得积分10
7秒前
7秒前
酷波er应助猫猫侠采纳,获得10
8秒前
郭郭完成签到,获得积分10
8秒前
Rachel发布了新的文献求助10
9秒前
奥老师完成签到,获得积分10
10秒前
正常兔子发布了新的文献求助20
10秒前
肚肚发布了新的文献求助10
11秒前
dong东包发布了新的文献求助10
11秒前
su发布了新的文献求助10
12秒前
菜头完成签到,获得积分10
12秒前
木风2023完成签到,获得积分10
12秒前
Owen应助吹什么风采纳,获得10
13秒前
13秒前
苏苏阿苏完成签到,获得积分10
13秒前
Dan完成签到,获得积分10
14秒前
111完成签到,获得积分20
14秒前
bo应助Barry采纳,获得10
15秒前
大力的灵雁应助高高断秋采纳,获得30
15秒前
mumu完成签到,获得积分10
15秒前
大力的灵雁应助钱钱钱采纳,获得10
16秒前
高分求助中
(应助此贴封号)【重要!!请各用户(尤其是新用户)详细阅读】【科研通的精品贴汇总】 10000
Handbook of pharmaceutical excipients, Ninth edition 5000
Aerospace Standards Index - 2026 ASIN2026 3000
Relation between chemical structure and local anesthetic action: tertiary alkylamine derivatives of diphenylhydantoin 1000
Signals, Systems, and Signal Processing 610
Discrete-Time Signals and Systems 610
Principles of town planning : translating concepts to applications 500
热门求助领域 (近24小时)
化学 材料科学 医学 生物 工程类 纳米技术 有机化学 物理 生物化学 化学工程 计算机科学 复合材料 内科学 催化作用 光电子学 物理化学 电极 冶金 遗传学 细胞生物学
热门帖子
关注 科研通微信公众号,转发送积分 6064425
求助须知:如何正确求助?哪些是违规求助? 7896734
关于积分的说明 16317393
捐赠科研通 5207201
什么是DOI,文献DOI怎么找? 2785679
邀请新用户注册赠送积分活动 1768560
关于科研通互助平台的介绍 1647544