Ontology highlight
ABSTRACT: Background
This study aimed to identify a novel inflammatory index and construct a nomogram for predicting in-hospital mortality due to severe fever with thrombocytopenia syndrome (SFTS).Methods
This cohort included 610 patients with SFTS hospitalized in Wuhan Union Hospital between March 2017 and November 2022. The ratio of C-reactive protein (CRP) to the prognostic nutritional index (PNI) was calculated and used to reflect patients' inflammatory status. Propensity score matching (PSM) was utilized to balance confounding factors between the low- and high-CRP/PNI groups. SFTS individuals from Jinyinhu Hospital were used as the validation cohort.Results
Patients with SFTS and high CRP/PNI were significantly correlated with a higher percentage of severe and critical S
SUBMITTER: Guo C
PROVIDER: S-EPMC10877553 | biostudies-literature | 2024 Feb
REPOSITORIES: biostudies-literature