ZhiQiang Xue1, JunZhe Lang1, Lei Chen1, JianDong Yuan1, Kai Zhou2. 1. Department of Orthopaedics, First Affiliated Hospital of Wenzhou Medical University, Wenzhou, 325035, Zhejiang, China. 2. Department of Orthopaedics, First Affiliated Hospital of Wenzhou Medical University, Wenzhou, 325035, Zhejiang, China. zhoukaizhoumiao@163.com.
Abstract
PURPOSE: This study aimed to analyze the factors influencing the length of stay (LOS) and the cost of hospital stay in patients with tibial plateau fractures (TPFs). METHODS: We enrolled 233 patients with TPFs in this retrospective study. The general conditions, hematological indicators, and imaging data of hospitalized patients were collected. The factors influencing the cost and LOS were determined by a multivariate logistic regression model controlling confounding factors. Receiver operating characteristic (ROC) curve is used to determine the sensitivity and specificity of risk factors. RESULTS: The hospitalization cost of hypoproteinemia was significantly higher than that of the standard group (OR 3.07; 95% CI 1.23-7.69; P = 0.017); Low hemoglobin levels in the male will significantly affect patient hospitalization costs (OR 8.32; 95% CI 2.82-24.57; P = 0.015), will also extend the LOS (OR 3.02; 95% CI 1.15-7.89; P = 0.024). Among Schatzker classification of the tibial plateau, hospitalization costs of type V, VI above fractures were significantly higher than those of class I, II, III, and IV fractures (OR 8.78; 95% CI 3.34-23.09; P < 0.001). CONCLUSION: In this study, hypoproteinemia and the Schatzker classification appeared to be a useful indicator for predicting hospitalization costs for TPFs patients; Male hemoglobin level appears to be an independent risk factor for hospital cost and LOS.
PURPOSE: This study aimed to analyze the factors influencing the length of stay (LOS) and the cost of hospital stay in patients with tibial plateau fractures (TPFs). METHODS: We enrolled 233 patients with TPFs in this retrospective study. The general conditions, hematological indicators, and imaging data of hospitalized patients were collected. The factors influencing the cost and LOS were determined by a multivariate logistic regression model controlling confounding factors. Receiver operating characteristic (ROC) curve is used to determine the sensitivity and specificity of risk factors. RESULTS: The hospitalization cost of hypoproteinemia was significantly higher than that of the standard group (OR 3.07; 95% CI 1.23-7.69; P = 0.017); Low hemoglobin levels in the male will significantly affect patient hospitalization costs (OR 8.32; 95% CI 2.82-24.57; P = 0.015), will also extend the LOS (OR 3.02; 95% CI 1.15-7.89; P = 0.024). Among Schatzker classification of the tibial plateau, hospitalization costs of type V, VI above fractures were significantly higher than those of class I, II, III, and IV fractures (OR 8.78; 95% CI 3.34-23.09; P < 0.001). CONCLUSION: In this study, hypoproteinemia and the Schatzker classification appeared to be a useful indicator for predicting hospitalization costs for TPFs patients; Male hemoglobin level appears to be an independent risk factor for hospital cost and LOS.