Maëli van Waasdijk, Suzanne D van der Werff, Daniel Sjöholm, Katja Wyss, Hilmir Asgeirsson, Pontus Naucler, Anna Färnert, Ana Requena-Méndez
{"title":"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。","authors":"Maëli van Waasdijk, Suzanne D van der Werff, Daniel Sjöholm, Katja Wyss, Hilmir Asgeirsson, Pontus Naucler, Anna Färnert, Ana Requena-Méndez","doi":"10.1016/j.cmi.2024.10.009","DOIUrl":null,"url":null,"abstract":"<p><strong>Objectives: </strong>The aim of this study was to determine predictors for helminthiasis among travellers and migrants with eosinophilia for which a visit to tropical regions or endemic regions for common helminthiasis had been registered.</p><p><strong>Methods: </strong>A retrospective cohort study was performed using electronic health records of 23 905 patients with eosinophilia (January 2011-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.</p><p><strong>Results: </strong>Of 1112 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; 95% CI, 0.77-9.09), and high-grade eosinophilia >1500 cells/μL (OR 2.26; 95% CI, 1.54-3.32) were the most important predictors for any helminthiasis (area under the curve [AUC], 0.77; 0.74-0.80). An SSA origin (AUC, 2.97; 1.11-7.95), malaise and fatigue (AUC, 5.48; 1.13-26.63), and high-grade eosinophilia (AUC, 1.53; 0.86-2.71) were predictors for schistosomiasis (AUC, 0.74; 0.70-0.77); whereas SSA origin (AUC, 5.68 (3.04-10.59)), itching symptoms (AUC, 5.05; 1.32-19.36), and high-grade eosinophilia (AUC, 2.42; 1.33-4.41) were predictors for strongyloidiasis (AUC, 0.73; 0.69-0.76).</p><p><strong>Discussion: </strong>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.</p>","PeriodicalId":10444,"journal":{"name":"Clinical Microbiology and Infection","volume":" ","pages":"113-120"},"PeriodicalIF":10.9000,"publicationDate":"2025-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Prediction of helminthiases in travellers and migrants with eosinophilia: a cohort study.\",\"authors\":\"Maëli van Waasdijk, Suzanne D van der Werff, Daniel Sjöholm, Katja Wyss, Hilmir Asgeirsson, Pontus Naucler, Anna Färnert, Ana Requena-Méndez\",\"doi\":\"10.1016/j.cmi.2024.10.009\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p><strong>Objectives: </strong>The aim of this study was to determine predictors for helminthiasis among travellers and migrants with eosinophilia for which a visit to tropical regions or endemic regions for common helminthiasis had been registered.</p><p><strong>Methods: </strong>A retrospective cohort study was performed using electronic health records of 23 905 patients with eosinophilia (January 2011-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.</p><p><strong>Results: </strong>Of 1112 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; 95% CI, 0.77-9.09), and high-grade eosinophilia >1500 cells/μL (OR 2.26; 95% CI, 1.54-3.32) were the most important predictors for any helminthiasis (area under the curve [AUC], 0.77; 0.74-0.80). An SSA origin (AUC, 2.97; 1.11-7.95), malaise and fatigue (AUC, 5.48; 1.13-26.63), and high-grade eosinophilia (AUC, 1.53; 0.86-2.71) were predictors for schistosomiasis (AUC, 0.74; 0.70-0.77); whereas SSA origin (AUC, 5.68 (3.04-10.59)), itching symptoms (AUC, 5.05; 1.32-19.36), and high-grade eosinophilia (AUC, 2.42; 1.33-4.41) were predictors for strongyloidiasis (AUC, 0.73; 0.69-0.76).</p><p><strong>Discussion: </strong>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.</p>\",\"PeriodicalId\":10444,\"journal\":{\"name\":\"Clinical Microbiology and Infection\",\"volume\":\" \",\"pages\":\"113-120\"},\"PeriodicalIF\":10.9000,\"publicationDate\":\"2025-01-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Clinical Microbiology and Infection\",\"FirstCategoryId\":\"3\",\"ListUrlMain\":\"https://doi.org/10.1016/j.cmi.2024.10.009\",\"RegionNum\":1,\"RegionCategory\":\"医学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"2024/10/18 0:00:00\",\"PubModel\":\"Epub\",\"JCR\":\"Q1\",\"JCRName\":\"INFECTIOUS DISEASES\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Clinical Microbiology and Infection","FirstCategoryId":"3","ListUrlMain":"https://doi.org/10.1016/j.cmi.2024.10.009","RegionNum":1,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"2024/10/18 0:00:00","PubModel":"Epub","JCR":"Q1","JCRName":"INFECTIOUS DISEASES","Score":null,"Total":0}
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 visit 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-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 1112 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; 95% CI, 0.77-9.09), and high-grade eosinophilia >1500 cells/μL (OR 2.26; 95% CI, 1.54-3.32) were the most important predictors for any helminthiasis (area under the curve [AUC], 0.77; 0.74-0.80). An SSA origin (AUC, 2.97; 1.11-7.95), malaise and fatigue (AUC, 5.48; 1.13-26.63), and high-grade eosinophilia (AUC, 1.53; 0.86-2.71) were predictors for schistosomiasis (AUC, 0.74; 0.70-0.77); whereas SSA origin (AUC, 5.68 (3.04-10.59)), itching symptoms (AUC, 5.05; 1.32-19.36), and high-grade eosinophilia (AUC, 2.42; 1.33-4.41) were predictors for strongyloidiasis (AUC, 0.73; 0.69-0.76).
Discussion: 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.
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.