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量化麻疹感染的长期影响-一项回顾性队列研究。

Quantifying the long-term effects of measles infection-a retrospective cohort study.

机构信息

The Bio-statistical and Bio-mathematical Unit, The Gertner Institute for Epidemiology and Health Policy, Tel Hashomer, Israel; Department of Epidemiology and Preventive Medicine, School of Public Health, Faculty of Medicine, Tel Aviv University, Tel Aviv, Israel.

The Bio-statistical and Bio-mathematical Unit, The Gertner Institute for Epidemiology and Health Policy, Tel Hashomer, Israel.

出版信息

Clin Microbiol Infect. 2024 Nov;30(11):1460-1465. doi: 10.1016/j.cmi.2024.08.007. Epub 2024 Aug 12.

Abstract

OBJECTIVES

To assess whether measles infection has an impact on the rate of non-measles infectious diseases over an extended period.

METHODS

This retrospective matched cohort study included 532 measles-diagnosed patients who were exactly matched with 2128 individuals without a previous measles diagnosis. Adjusted OR for any all-cause infectious diagnosis and any viral infection diagnosis ≤2 years after measles diagnosis between the measles and control groups was obtained from a conditional logistic regression model. The Cox proportional hazards model was used to estimate the hazard ratio.

RESULTS

Previous measles virus (MeV) exposure was associated with an increased risk for all-cause non-measles infectious disease diagnosis (OR: 1.83, 95% CI: 1.26-2.64, p 0.001), with 492 diagnoses in the MeV-exposed group and 1868 diagnoses in the control group. Additionally, previous MeV exposure was linked to a higher risk of viral infection diagnosis (OR: 1.23, 95% CI: 1.01-1.59, p < 0.05), with 302 viral infection diagnoses in the MeV-exposed group and 1107 diagnoses in the control group. The hazard ratio for viral diagnosis in the MeV-exposed group compared with the control group was 1.54 (95% CI: 1.18-2.02, p < 0.001).

DISCUSSION

Individuals diagnosed with measles had a moderately increased risk of being diagnosed with all-cause non-measles infectious disease or viral infection. This observational individual-level study supports previous ecological and individual population-level studies.

摘要

目的

评估麻疹感染是否会对延长时间内非麻疹传染病的发病率产生影响。

方法

本回顾性匹配队列研究纳入了 532 例麻疹确诊患者,他们与 2128 名无麻疹既往诊断的个体进行了精确匹配。采用条件逻辑回归模型获得麻疹组和对照组麻疹诊断后 2 年内任何全因感染性诊断和任何病毒性感染诊断的调整比值比(OR)。采用 Cox 比例风险模型估计风险比。

结果

既往麻疹病毒(MeV)暴露与全因非麻疹传染病诊断的风险增加相关(OR:1.83,95%CI:1.26-2.64,p<0.001),暴露组有 492 例诊断,对照组有 1868 例诊断。此外,既往 MeV 暴露与病毒感染诊断的风险增加相关(OR:1.23,95%CI:1.01-1.59,p<0.05),暴露组有 302 例病毒感染诊断,对照组有 1107 例诊断。与对照组相比,暴露组病毒诊断的风险比为 1.54(95%CI:1.18-2.02,p<0.001)。

讨论

诊断为麻疹的个体患全因非麻疹传染病或病毒性感染的风险略有增加。这项观察性个体水平研究支持了之前的生态学和个体人群水平研究。

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