Major infections in newly diagnosed systemic lupus erythematosus: an inception cohort study

医学 队列 内科学 逻辑回归 系统性红斑狼疮 疾病
作者
Haiting Wang,Yuhong Zhou,Liqin Yu,Wanlong Wu,Liling Zhao,Shikai Geng,Fangfang Sun,Danting Zhang,Betty P. Tsao,Yi Chen,Shuang Ye
出处
期刊:Lupus science & medicine [BMJ]
卷期号:9 (1): e000725-e000725 被引量:9
标识
DOI:10.1136/lupus-2022-000725
摘要

To evaluate the risk of major infections and the relationship between major infections and mortality in patients with newly diagnosed SLE.A newly diagnosed (<3 months) hospitalised Systemic Lupus Inception Cohort (hSLIC) in our centre during 1 January 2013 and 1 November 2020 was established. All patients were followed up for at least 1 year or until death. Patient baseline characteristics were collected. Major infection events were recorded during follow-up, which were defined as microbiological/clinical-based diagnosis treated with intravenous antimicrobials. The cohort was further divided into a training set and a testing set. Independent predictors of major infections were identified using multivariable logistic regression analysis. Kaplan-Meier survival analyses were conducted.Among the 494 patients enrolled in the hSLIC cohort, there were 69 documented episodes of major infections during the first year of follow-up in 67 (14%) patients. The major infection events predominantly occurred within the first 4 months since enrolment (94%, 65/69) and were associated with all-cause mortality. After adjustments for glucocorticoid and immunosuppressant exposure, a prediction model based on SLE Disease Activity Index >10, peripheral lymphocyte count <0.8×109/L and serum creatinine >104 µmol/L was established to identify patients at low risk (3%-5%) or high risk (37%-39%) of major infections within the first 4 months.Newly onset active SLE is susceptible to major infections, which is probably due to underlying profound immune disturbance. Identifying high-risk patients using an appropriate prediction tool might lead to better tailored management and better outcome.

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
刚刚
1秒前
tianqiwang发布了新的文献求助10
2秒前
小明发布了新的文献求助10
3秒前
明曦发布了新的文献求助10
3秒前
liu发布了新的文献求助10
4秒前
5秒前
5秒前
张张张xxx发布了新的文献求助20
5秒前
7秒前
果汁完成签到,获得积分10
9秒前
华仔应助含糊的电源采纳,获得10
9秒前
fang发布了新的文献求助10
10秒前
三次选发布了新的文献求助10
10秒前
快毕业发布了新的文献求助10
10秒前
魏煜佳发布了新的文献求助10
11秒前
12发布了新的文献求助10
12秒前
笑对人生完成签到 ,获得积分10
12秒前
13秒前
13秒前
13秒前
luckyzhyw完成签到,获得积分10
14秒前
14秒前
Fxy完成签到 ,获得积分10
15秒前
张张张xxx完成签到,获得积分10
17秒前
17秒前
panda发布了新的文献求助10
17秒前
英勇念文完成签到,获得积分20
18秒前
18秒前
夏末发布了新的文献求助10
19秒前
风清月莹发布了新的文献求助10
19秒前
默默谷兰完成签到,获得积分20
20秒前
21秒前
酷波er应助姜月采纳,获得10
21秒前
21秒前
暗月青影完成签到,获得积分10
21秒前
刘嘉欣完成签到,获得积分10
22秒前
李健应助橙子爱吃火龙果采纳,获得10
23秒前
YAN发布了新的文献求助10
24秒前
婷儿发布了新的文献求助10
24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
PowerCascade: A Synthetic Dataset for Cascading Failure Analysis in Power Systems 2000
Picture this! Including first nations fiction picture books in school library collections 1500
Signals, Systems, and Signal Processing 610
Unlocking Chemical Thinking: Reimagining Chemistry Teaching and Learning 555
CLSI M100 Performance Standards for Antimicrobial Susceptibility Testing 36th edition 400
Cancer Targets: Novel Therapies and Emerging Research Directions (Part 1) 400
热门求助领域 (近24小时)
化学 材料科学 医学 生物 纳米技术 工程类 有机化学 化学工程 生物化学 计算机科学 物理 内科学 复合材料 催化作用 物理化学 光电子学 电极 细胞生物学 基因 无机化学
热门帖子
关注 科研通微信公众号,转发送积分 6361608
求助须知:如何正确求助?哪些是违规求助? 8175410
关于积分的说明 17222416
捐赠科研通 5416423
什么是DOI,文献DOI怎么找? 2866340
邀请新用户注册赠送积分活动 1843584
关于科研通互助平台的介绍 1691450