预测患有嗜酸性粒细胞增多症的旅行者和移民的蠕虫病:一项队列研究。

IF 10.9 1区 医学 Q1 INFECTIOUS DISEASES Clinical Microbiology and Infection Pub Date : 2024-10-17 DOI:10.1016/j.cmi.2024.10.009
Maëli van Waasdijk, Suzanne D van der Werff, Daniel Sjöholm, Katja Wyss, Hilmir Asgeirsson, Pontus Naucler, Anna Färnert, Ana Requena-Méndez
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引用次数: 0

摘要

研究目的本研究旨在确定曾前往热带地区或常见蠕虫病流行地区的嗜酸性粒细胞增多症旅行者和移民中蠕虫病的预测因素:利用斯德哥尔摩卡罗林斯卡大学医院 23905 名嗜酸性粒细胞增多症患者(2011 年 1 月至 2021 年 8 月)的电子健康记录进行了一项回顾性队列研究,其中包括在蠕虫病流行地区登记停留的蠕虫病检测患者。结果是诊断出任何蠕虫病,以及诊断出血吸虫病和强直性脊柱炎。采用多变量逻辑回归法评估潜在的预测因素与螺旋体病之间的关联,采用逆向逐步排除法,直到得出每个变量都有 p 值的预测模型:在 1 112 名符合条件的嗜酸性粒细胞增多症患者中,有记录显示在流行地区逗留过的 219 人(19.7%)被诊断患有蠕虫病,其中最常见的是血吸虫病(95 人,43.4%)和强虫病(64 人,29.2%)。居住在撒哈拉以南非洲地区(SSA)(OR 8.2 [95%CI 2.44-27.56])、乏力和疲劳(OR 2.65 [0.77-9.09])以及嗜酸性粒细胞数大于 1500 个/μl(2.26 [1.54-3.32])是任何蠕虫病最重要的预测因素(AUC:0.77 [0.74-0.80])。SSA 原籍(2.97 [1.11-7.95])、乏力(5.48 (1.13-26.63))和嗜酸性粒细胞增多(1.53, [0.86-2.71])是血吸虫病的预测因素(AUC:0.74[0.70-0.77];而 SSA 原籍(5.68[3.04-10.59])、瘙痒症状(5.05[1.32-19.36])和高级别嗜酸性粒细胞增多(2.42,[1.33-4.41])则是强线虫病的预测因素(AUC:0.73[0.69-0.76]):结论:在疟疾流行地区(特别是撒哈拉以南非洲地区)逗留、嗜酸性粒细胞增多、乏力和疲劳是螺旋体病最重要的预测因素。瘙痒是强直性脊柱炎的另一个预测因素。
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Prediction of helminthiases in travellers and migrants with eosinophilia: a cohort study.

Objectives: The aim of this study was to determine predictors for helminthiasis among travellers and migrants with eosinophilia for which a visto to tropical regions or endemic regions for common helminthiasis had been registered.

Methods: A retrospective cohort study was performed using electronic health records of 23,905 patients with eosinophilia (January-2011 to August-2021) at Karolinska University Hospital, (Stockholm), including patients tested for helminthiasis with a registered stay in a helminth endemic region. Outcomes were diagnosis of any helminthiasis, and diagnosis of schistosomiasis and strongyloidiasis. Multivariable logistic regression was used to assess associations between potential predictors and helminthiases with a backwards stepwise elimination approach until a predictive model was reached in which each variable had a p-value<0.15.

Results: Of 1,112 eligible patients with eosinophilia and documented stay in endemic regions, 219 (19.7%) had been diagnosed with helminthiasis, most frequently schistosomiasis (n=95, 43.4%) and strongyloidiasis (n=64, 29.2%). A stay in Sub-Saharan Africa (SSA),(OR 8.2 [95%CI 2.44-27.56]), malaise and fatigue (OR 2.65 [0.77-9.09]) and high-grade eosinophilia >1500cells/μl, (2.26, [1.54-3.32]) were the most important predictors for any helminthiasis (AUC: 0.77 [0.74-0.80). A SSA origin (2.97 [1.11-7.95]), malaise and fatigue (5.48 (1.13-26.63) and high-grade eosinophilia, (1.53, [0.86-2.71]) were predictors for schistosomiasis (AUC: 0.74 [0.70-0.77]; whereas SSA origin (5.68 [3.04-10.59]), itching symptom (5.05 [1.32-19.36], and high-grade eosinophilia (2.42, [1.33-4.41]) were predictors for strongyloidiasis (AUC: 0.73 [0.69-0.76]).

Conclusions: A stay in an endemic region, specifically SSA, having high-grade eosinophilia, and malaise and fatigue were the most important predictors for helminthiasis. Itching was an additional predictor for strongyloidiasis.

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来源期刊
CiteScore
25.30
自引率
2.10%
发文量
441
审稿时长
2-4 weeks
期刊介绍: Clinical Microbiology and Infection (CMI) is a monthly journal published by the European Society of Clinical Microbiology and Infectious Diseases. It focuses on peer-reviewed papers covering basic and applied research in microbiology, infectious diseases, virology, parasitology, immunology, and epidemiology as they relate to therapy and diagnostics.
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