{"title":"Diagnostic Value of Routine Laboratory Tests in Hemorrhagic Fever with Renal Syndrome in Jiaodong Peninsula, Shandong Province, China.","authors":"Wenfei Lu, Qianqian Sun, Wenyao Wu, Chao Zhu, Yangang Wei, Lin Sun, Limin Lun, Jinxia Zhao","doi":"10.7883/yoken.JJID.2025.022","DOIUrl":null,"url":null,"abstract":"<p><p>To explore the clinical value of routine laboratory tests in the early diagnosis of hemorrhagic fever with renal syndrome (HFRS), this study retrospectively analyzed the medical records of 146 patients, including 87 HFRS cases and 59 controls. Subsequently, a multivariable logistic regression model was employed to identify clinically relevant indicators for HFRS diagnosis. The sensitivity and specificity of these indicators were further evaluated using receiver operating characteristic (ROC) curve analysis, both individually and in combination. Results showed that HFRS patients had significantly higher levels of leukocytes, neutrophils, lymphocytes, monocytes, eosinophils, basophils, red blood cells, urinary proteins, and hemoglobin (Hb) (all P < 0.05), while platelet counts were lower (P < 0.05). Multivariable logistic regression analysis revealed that monocyte count and Hb were independent predictors of HFRS. The area under the ROC curve (AUC) for the combined use of monocyte count and Hb level in diagnosing HFRS was 0.942, which was significantly higher than the AUC when either was used alone, indicating excellent predictive performance. In conclusion, elevated monocyte count and Hb levels are independent predictors of HFRS. Their combined use enables effective prediction of HFRS and may serve as a key criterion for the early diagnosis of HFRS in primary care settings.</p>","PeriodicalId":14608,"journal":{"name":"Japanese journal of infectious diseases","volume":" ","pages":"138-142"},"PeriodicalIF":1.1000,"publicationDate":"2026-07-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Japanese journal of infectious diseases","FirstCategoryId":"3","ListUrlMain":"https://doi.org/10.7883/yoken.JJID.2025.022","RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"2025/11/28 0:00:00","PubModel":"Epub","JCR":"Q4","JCRName":"INFECTIOUS DISEASES","Score":null,"Total":0}
引用次数: 0
Abstract
To explore the clinical value of routine laboratory tests in the early diagnosis of hemorrhagic fever with renal syndrome (HFRS), this study retrospectively analyzed the medical records of 146 patients, including 87 HFRS cases and 59 controls. Subsequently, a multivariable logistic regression model was employed to identify clinically relevant indicators for HFRS diagnosis. The sensitivity and specificity of these indicators were further evaluated using receiver operating characteristic (ROC) curve analysis, both individually and in combination. Results showed that HFRS patients had significantly higher levels of leukocytes, neutrophils, lymphocytes, monocytes, eosinophils, basophils, red blood cells, urinary proteins, and hemoglobin (Hb) (all P < 0.05), while platelet counts were lower (P < 0.05). Multivariable logistic regression analysis revealed that monocyte count and Hb were independent predictors of HFRS. The area under the ROC curve (AUC) for the combined use of monocyte count and Hb level in diagnosing HFRS was 0.942, which was significantly higher than the AUC when either was used alone, indicating excellent predictive performance. In conclusion, elevated monocyte count and Hb levels are independent predictors of HFRS. Their combined use enables effective prediction of HFRS and may serve as a key criterion for the early diagnosis of HFRS in primary care settings.
期刊介绍:
Japanese Journal of Infectious Diseases (JJID), an official bimonthly publication of National Institute of Infectious Diseases, Japan, publishes papers dealing with basic research on infectious diseases relevant to humans in the fields of bacteriology, virology, mycology, parasitology, medical entomology, vaccinology, and toxinology. Pathology, immunology, biochemistry, and blood safety related to microbial pathogens are among the fields covered. Sections include: original papers, short communications, epidemiological reports, methods, laboratory and epidemiology communications, letters to the editor, and reviews.