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Objective:To explore the early warning value of laboratory parameters in patients with severe hemorrhagic fever with renal syndrome (HFRS).Methods:The clinical data of 101 patients with HFRS hospitalized in the Department of Infectious Diseases of the First Hospital of Changsha from December 2013 to December 2020 were collected and analyzed. The differences of clinical routine laboratory parameters between mild and severe HFRS patients were compared and analyzed. The statistical methods including independent sample t test, rank sum test, chi-square test, Spearman rank correlation analysis, logistic regression analysis and receiver operator characteristic curve were used. Results:Among 101 patients with HFRS, 38 cases were in severe group and 63 cases in mild group. White blood cell count, aspartate aminotransferase (AST), prothrombin time (PT), creatine kinase (CK), creatine kinase isoenzyme (CK-MB), serum creatinine, urea nitrogen and D-dimer in severe group were higher than those in mild group, while platelet count and albumin were lower than those in mild group, and the differences were all statistically significant ( t=8.61, Z=-3.76, t=4.19, Z=-2.84, Z=-7.23, t=4.98, t=4.64, t=36.02, Z=-5.49 and t=4.14, respectively; all P<0.050). Severe HFRS was positively correlated with white blood cell count, AST, PT, activated partial thromboplastin time (APTT), CK-MB, serum creatinine, urea nitrogen and D-dimer ( r=0.629, 0.376, 0.549, 0.471, 0.723, 0.500, 0.341 and 0.588, respectively; all P<0.001). White blood cell count, albumin, PT and CK-MB were independent influencing factors for the progression of severe HFRS (odds ratio ( OR)=0.922, 1.374, 0.730 and 0.938, respectively; all P<0.050). The area under curve (AUC) of white blood cell count, albumin, PT and CK-MB for the early warning prediction of severe HFRS were 0.869, 0.739, 0.785 and 0.931, respectively, with the optimal thresholds for prediction of 26.38×10 9/L, 26.05 g/L, 15.95 s and 35.5 U/L, respectively.And the AUC of the combined detection of the above laboratory parameters was 0.950, with the sensitivity of 87.3% and the specificity of 94.7%. Conclusions:White blood cell count, albumin, PT and CK-MB could be used as independent influencing factors for early warning of severe HFRS. Combined detection is more helpful for early warning of severe HFRS than single detection.
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Objective To quantitatively analyze the early warning value of laboratory indexes for death risk in children with criti ‐cal hand foot and mouth disease (HFMD) .Methods The univariate and multivariate Logistic regression analysis were conducted to explore the independent risk factors of death in critical HFMD children .Then the area under receiver operating characteristic curve (AUC) was applied to give the comprehensive assessment of the test model ,as well as the early warning capacity and the optimal cut‐off level of laboratory indexes in critical HFMD children .Results The AUC of the Logistic regression model (Y ) established based on white blood cell ,neutrophil ,myoglobin ,creatinine for early predicting the death risk in critical HFMD children patients was 0 .847 (95% CI :0 .783 - 0 .911) ,which indicating that its diagnostic value was superior to single index .Conclusion The diag‐nostic value of the Y model established based on four indexes of white blood cell count ,neutrophile granulocytes count ,myohemo‐globin and creatinine is superior to any single index ,which has the better early warning value for the death risk in children with crit‐ical HFMD .