传染性单核细胞增多症的风险与既往感染发病率无关。

Frontiers in epidemiology Pub Date : 2025-03-12 eCollection Date: 2025-01-01 DOI:10.3389/fepid.2025.1518559
Klaus Rostgaard, Ragnar Kristjánsson, Olafur Davidsson, Jojo Biel-Nielsen Dietz, Signe Holst Søegaard, Lone Graff Stensballe, Henrik Hjalgrim
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引用次数: 0

摘要

背景:原发性爱泼斯坦-巴尔病毒感染后出现传染性单核细胞增多症(IM)的概率在青春期开始时急剧增加。为了理解其中的原因,我们评估了两个特定时间段——10-12岁(青春期前窗口)和最近三年(最近窗口)——感染相关健康事件的数量是否可以预测13-19岁个体患IM的可能性。方法:采用兄弟姐妹分层Cox回归来减轻社会人口学混杂和偏倚。因此,我们仅根据完整的丹麦全国行政和健康登记册的信息,在1999年至2021年期间跟踪了13-19岁受IM影响的兄弟姐妹的IM成员。根据性别、年龄、出生顺序(1、2、3+)和兄弟姐妹星座(兄弟姐妹的数量及其与索引人的年龄差异)进一步调整了估计。与感染相关的健康事件定义了所考虑的暴露,要么是一类抗微生物药物处方,要么是与传染病诊断的医院接触。我们使用渐近贝叶斯因子来测量关联的证据/概率,而不是使用基于p值的检验。结果:IM的校正风险比(HR)与95%置信限在青春期前暴露窗口的额外抗菌处方为[1.01;0.98-1.04],近期暴露窗口内新增抗菌药物处方对应的调整HR为[1.02];0.99 - -1.06)。结论:IM之前没有异常数量的感染。小的效应量,加上暴露量的小变化,并不能使评估的暴露量对预测公共卫生或诊所的IM有用。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Risk of infectious mononucleosis is not associated with prior infection morbidity.

Background: The probability of presenting with infectious mononucleosis (IM) upon primary Epstein-Barr virus infection increases dramatically at the start of puberty. Aiming to understand why that is, we assessed whether the number of infection-related health events during two specific time periods-ages 10-12 years (pre-teen window) and the three most recent years (recent window)-could predict the likelihood of individuals aged 13-19 years developing IM.

Methods: We used sibship-stratified Cox regression to mitigate socio-demographic confounding and bias. Consequently, we only followed members of IM-affected sibships aged 13-19 years between 1999 and 2021 for IM, based on information from complete nationwide Danish administrative and health registers. Estimates were further adjusted for sex, age, birth order (1, 2, 3+) and sibship constellation [number of siblings and their signed (older/younger) age difference to the index person]. Infection-related health events defining the exposures considered were either a category of antimicrobial prescription, or a hospital contact with an infectious disease diagnosis. We measured evidence/probability of the associations using asymptotic Bayes factors, rather than using p-value based testing.

Results: The adjusted hazard ratio (HR) for IM with 95% confidence limits for an additional antimicrobial prescription in the pre-teen exposure window was [1.01; 0.98-1.04], and the corresponding adjusted HR for an additional antimicrobial prescription in the recent exposure window was [1.02; 0.99-1.06].

Conclusions: IM was not preceded by unusual numbers of infections. Small effect sizes, together with small variation in exposure, did not render the assessed exposures useful for predicting IM for public health or the clinic.

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