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 by 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, erythrocytes, urinary proteins, and hemoglobin (all P < 0.05), while platelet counts were lower (P < 0.05). Multivariable logistic regression analysis revealed that monocyte count and hemoglobin were independent predictors of HFRS. The area under the ROC curve (AUC) for the combined use of monocyte count and hemoglobin 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 hemoglobin 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.
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Lu et al. (2025) studied this question.
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