Construction and Application of a Model for Predicting Postoperative Urinary Tract Infection Risk in Elderly Hip Fracture Patients Based on Logistic Regression
Construction and Application of a Model for Predicting Postoperative Urinary Tract Infection Risk in Elderly Hip Fracture Patients Based on Logistic Regression
Objective Explore the risk factors of postoperative urinary tract infection in elderly hip fracture patients,and construct the risk prediction model of,and apply it to the perioperative period of elderly hip fracture.Methods 1012 elderly pa-tients with hip fracture admitted to our hospital from January 2019 to May 2023 were selected.Among them,111 patients had post-operative urinary tract infection.The risk factors of urinary tract infection in elderly orthopedic patients were initially screened through univariate analysis,considering the clinical experience,the relevant risk factors were included in the multivariate Logistic regression analysis,and the Logistic model was established according to the results.Results Single-multivariate Logistic regres-sion analysis model analysis was included.After screening,four independent risk factors affecting postoperative urinary tract infec-tion were hypoproteinemia,electrolyte imbalance,pneumonia and diabetes mellitus(P＜0.05).We found that the sensitivity and specificity of the prediction model in the diagnosis of elderly hip fracture patients were 83.78％and 90.77％,respectively.Con-clusion Hypoproteinemia,electrolyte imbalance,pneumonia and diabetes are all risk factors affecting postoperative urinary tract infection in elderly hip fracture patients.The prediction model of the elderly hip fracture infection constructed based on the nomo-gram model has good prediction ability and accuracy.
维普
万方数据