Establishment and validation of a prognostic nomogram for severe fever with thrombocytopenia syndrome: A retrospective observational study

Kai Yang, Yu Wang, Jiepeng Huang, Lingyan Xiao, Dongyang Shi, Daguang Cui, Tongyue Du and Yishan Zheng

PLOS ONE, 2024, vol. 19, issue 10, 1-17

Abstract: Background: Several scoring systems have been proposed to predict the risk of death due to severe fever with thrombocytopenia syndrome (STFS), but they have limitations. We developed a new prognostic nomogram for STFS-related death and compared its performance with previous scoring systems and the Acute Physiology and Chronic Health Evaluation score (APACHE II Score). Methods: A total of 292 STFS patients were retrospectively enrolled between January 2016 and March 2023. Boruta’s algorithm and backward stepwise regression were used to select variables for constructing the nomogram. Time-dependent receiver operating characteristic (ROC) curves and clinical decision curves were generated to compare the strengths of the nomogram with others. Results: Age, Sequential Organ Failure Assessment Score (SOFA score), state of consciousness, continuous renal replacement therapy (CRRT), and D-dimer were significantly correlated with mortality in both univariate and multivariate analyses (P

Date: 2024
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Persistent link: https://EconPapers.repec.org/RePEc:plo:pone00:0311924

DOI: 10.1371/journal.pone.0311924

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