{"title":"A simple clinical tool for effective screening of haemophagocytic lymphohistiocytosis in dengue.","authors":"Jeco Jacob Kuttykandathil, Arfath Ahmed, Gauri Malavalli Girish, Chyavan Trisule Reddy Tummaluru, Vivek Kothandaraman Koushik, Tapendu Patoary, Chakrapani Mahabala","doi":"10.1007/s15010-025-02542-8","DOIUrl":null,"url":null,"abstract":"<p><strong>Purpose: </strong>Haemophagocytic lymphohistiocytosis (HLH) is a rare, life-threatening disorder. Dengue fever is a common trigger for HLH in the tropics. We aimed to develop a simplified clinical tool to detect HLH in dengue patients.</p><p><strong>Methods: </strong>A cross-sectional observational study was carried out at Kasturba Medical College Mangalore. Patients between 18 and 60 years of age, with dengue fever for more than five days with suspected HLH symptoms were selected. Hepatosplenomegaly, temperature, haemoglobin levels, total leucocyte count, platelet count, ferritin, triglyceride, and liver function tests were assessed. HLH-2004 criteria were used to confirm the diagnosis. A simple clinical tool was developed via decision tree analysis using clinical and laboratory parameters.</p><p><strong>Results: </strong>Patients with HLH had marked leucopenia, thrombocytopenia, hyperferritinaemia and elevated aspartate aminotransferase levels, and a greater incidence of hepatosplenomegaly than those without HLH. Decision tree analysis was used to generate a clinical diagnostic tool, which demonstrated an accuracy of 94%, at a confidence interval of 95% (90-98%). The model's ability to predict HLH was 79%, while its specificity was 96%. It had a positive predictive value of 68% and a negative predictive value of 97%. The kappa value of the predicted model was 0.70, indicating an agreement with the diagnosis using HLH-2004 criteria, with a significant p-value (< 0.001).</p><p><strong>Conclusions: </strong>Splenomegaly can be used as a screening method to diagnose HLH in patients with dengue. By using an algorithmic approach, combining splenomegaly with leucopenia and thrombocytopenia, this clinical tool accurately detects HLH in patients with dengue.</p>","PeriodicalId":13600,"journal":{"name":"Infection","volume":" ","pages":""},"PeriodicalIF":5.4000,"publicationDate":"2025-04-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Infection","FirstCategoryId":"3","ListUrlMain":"https://doi.org/10.1007/s15010-025-02542-8","RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"INFECTIOUS DISEASES","Score":null,"Total":0}
引用次数: 0
Abstract
Purpose: Haemophagocytic lymphohistiocytosis (HLH) is a rare, life-threatening disorder. Dengue fever is a common trigger for HLH in the tropics. We aimed to develop a simplified clinical tool to detect HLH in dengue patients.
Methods: A cross-sectional observational study was carried out at Kasturba Medical College Mangalore. Patients between 18 and 60 years of age, with dengue fever for more than five days with suspected HLH symptoms were selected. Hepatosplenomegaly, temperature, haemoglobin levels, total leucocyte count, platelet count, ferritin, triglyceride, and liver function tests were assessed. HLH-2004 criteria were used to confirm the diagnosis. A simple clinical tool was developed via decision tree analysis using clinical and laboratory parameters.
Results: Patients with HLH had marked leucopenia, thrombocytopenia, hyperferritinaemia and elevated aspartate aminotransferase levels, and a greater incidence of hepatosplenomegaly than those without HLH. Decision tree analysis was used to generate a clinical diagnostic tool, which demonstrated an accuracy of 94%, at a confidence interval of 95% (90-98%). The model's ability to predict HLH was 79%, while its specificity was 96%. It had a positive predictive value of 68% and a negative predictive value of 97%. The kappa value of the predicted model was 0.70, indicating an agreement with the diagnosis using HLH-2004 criteria, with a significant p-value (< 0.001).
Conclusions: Splenomegaly can be used as a screening method to diagnose HLH in patients with dengue. By using an algorithmic approach, combining splenomegaly with leucopenia and thrombocytopenia, this clinical tool accurately detects HLH in patients with dengue.
期刊介绍:
Infection is a journal dedicated to serving as a global forum for the presentation and discussion of clinically relevant information on infectious diseases. Its primary goal is to engage readers and contributors from various regions around the world in the exchange of knowledge about the etiology, pathogenesis, diagnosis, and treatment of infectious diseases, both in outpatient and inpatient settings.
The journal covers a wide range of topics, including:
Etiology: The study of the causes of infectious diseases.
Pathogenesis: The process by which an infectious agent causes disease.
Diagnosis: The methods and techniques used to identify infectious diseases.
Treatment: The medical interventions and strategies employed to treat infectious diseases.
Public Health: Issues of local, regional, or international significance related to infectious diseases, including prevention, control, and management strategies.
Hospital Epidemiology: The study of the spread of infectious diseases within healthcare settings and the measures to prevent nosocomial infections.
In addition to these, Infection also includes a specialized "Images" section, which focuses on high-quality visual content, such as images, photographs, and microscopic slides, accompanied by brief abstracts. This section is designed to highlight the clinical and diagnostic value of visual aids in the field of infectious diseases, as many conditions present with characteristic clinical signs that can be diagnosed through inspection, and imaging and microscopy are crucial for accurate diagnosis. The journal's comprehensive approach ensures that it remains a valuable resource for healthcare professionals and researchers in the field of infectious diseases.