High C‐reactive protein to lymphocyte ratio predicts mortality outcomes of patients with severe fever with thrombocytopenia syndrome: A multicenter study in China

Author:

Qian Fang1,Zhou Wei2,Liu Yuanni3,Ge Ziruo1,Lai Jianming4,Zhao Zhenghua5,Feng Yang5,Lin Ling3,Shen Yi6,Zhang Zhonglu2,Zhang Wei1,Fan Tianli4,Zhao Yongxiang6,Chen Zhihai1ORCID

Affiliation:

1. Center of Infectious Disease, Beijing Ditan Hospital Capital Medical University Beijing China

2. Department of Infectious Diseases Dalian Sixth People's Hospital Dalian China

3. Department of Infectious Disease Yantai City Hospital for Infectious Disease Yantai China

4. Department of Infectious Disease Qing Dao No 6 People's Hospital Qingdao China

5. Department of Infectious Disease Taian City Central Hospital Taian China

6. Department of Infectious Diseases Dandong Infectious Disease Hospital Dandong China

Abstract

AbstractSevere fever with thrombocytopenia syndrome (SFTS) is a life‐threatening infectious disease caused by the SFTS virus (SFTSV). This study aimed to evaluate the predictive power of C‐reactive protein to lymphocyte ratio (CLR) and establish an early‐warning model for SFTS mortality. We retrospectively analyzed hospitalized SFTS patients in six clinical centers from May 2011 to 2022. The efficacy of CLR prediction was evaluated by the receiver operating characteristic (ROC) analysis. A nomogram was established and validated. Eight hundred and eighty‐two SFTS patients (median age 64 years, 48.5% male) were enrolled in this study, with a mortality rate of 17.8%. The area under the ROC curve (AUC) of CLR was 0.878 (95% confidence interval [CI]: 0.850−0.903, p < 0.001), which demonstrates high predictive strength. The least absolute shrinkage and selection operator regression selected seven potential predictors. Multivariate logistic regression analysis determined three independent risk factors, including CLR, to construct the nomogram. The performance of the nomogram displayed excellent discrimination and calibration, with significant net benefits in clinical uses. CLR is a brand‐new predictor for SFTS mortality. The nomogram based on CLR can serve as a convenient tool for physicians to identify critical SFTS cases in clinical practice.

Publisher

Wiley

Subject

Infectious Diseases,Virology

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