Neutrophil-to-Lymphocyte Ratio Predicts Length of Stay and Acute Hospital Cost in XXXX with Acute @entity385 .

@entity1 @entity64 @entity6 @entity385
BACKGROUND: Although several risk factors for prolonged length of stay (LOS) and increased hospital cost have been identified, the association between LOS, hospital cost, and neutrophil-to-lymphocyte ratio (NLR) has not yet been investigated. We aimed to investigate the influence of NLR on LOS and hospital cost in @entity1 with acute @entity385 . METHODS: @entity1 with acute @entity385 diagnosed within 24 hours of symptom onset were included. Univariate analysis and stepwise multiple regression analysis were used to identify independent predictors of LOS and hospital cost. RESULTS: A total of 346 @entity1 were included in the final analysis. The median LOS was 11 days (range 8-13 days). The median acute hospital cost per @entity1 was 19,030.6   RMB (U.S.   3065.8) (range 14,450.8   RMB-25,218.2   RMB). Neutrophil count to lymphocyte count (NLR) (P   <   .001), @entity6 (P   =   .034), @entity64 subtype (P   =   .005), and @entity64 severity (P   <   .001) were significantly associated with prolonged LOS in the univariate analysis. NLR (P   <   .001), smoking (P   =   .04), @entity64 subtype (P   <   .001), @entity64 severity (P   <   .001), and LOS (P   <   .001) were significantly associated with increased hospital cost in the univariate analysis. Multivariate regression analysis showed that NLR was an independent predictor of both LOS and acute hospital cost. In addition, high NLR was significantly correlated with poor outcome at discharge, prolonged LOS, and increased hospital cost. CONCLUSIONS: NLR is significantly associated with LOS and acute hospital cost in @entity1 presenting with acute @entity385 . It is a simple, inexpensive, and readily available biomarker and may serve as a clinically practical indicator for assessing the economic burden of @entity64 .
