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<p>To investigate the factors influencing albumin infusion after femoral trochanteric fracture (FTF) in the elderly. Retrospective analysis of 318 patients with FTF treated with intramedullary nailing fixation in our hospital from January 2021 to June 2024. Using Lasso and Logistic regression to screen for risk factors of postoperative albumin infusion, a nomogram model was established to predict the risk of albumin infusion in elderly FTF patients after surgery. The area under curve (AUC) was used to check the accuracy of the prediction results of the model, and the decision curve analysis (DCA) was used to evaluate the clinical diagnostic value of the nomogram. Multivariate logistic regression analysis showed that age (OR = 1.052, 95% CI: 1.013 -1.092), intraoperative blood loss (IBL) (OR = 1.003, 95% CI: 1.001–1.006), operation time (OR = 1.013, 95% CI 1.004–2.022), preoperative ALB (OR = 0.769, 95% CI 0.701–0.843) and preoperative blood urea nitrogen (BUN) (OR = 1.136, 95% CI 1.049–1.229) were independent risk factors for albumin infusion after intramedullary nailing fixation of FTFs in the elderly. The AUC of the ROC curve is 0.806 (95% CI: 0.753–0.858). DCA showed&#xa0;that&#xa0;using&#xa0;the&#xa0;nomogram to predict the risk of&#xa0;postoperative albumin&#xa0;infusion had a high net benefit. The predictive nomogram model based on these five factors has good accuracy, which was of guiding significance for clinical screening of such high-risk groups, as well as the incidence of postoperative hypoalbuminemia and the risk of human albumin infusion.</p>

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Analysis of Risk Factors for Postoperative Albumin Infusion in Elderly Patients with Femoral Trochanteric Fracture and Establishment of Predictive Nomogram

  • 期刊论文

  • 发表日期：

    2025年9月12日

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  • Zhanghong Wang,
  • Yifan Wu

摘要

To investigate the factors influencing albumin infusion after femoral trochanteric fracture (FTF) in the elderly. Retrospective analysis of 318 patients with FTF treated with intramedullary nailing fixation in our hospital from January 2021 to June 2024. Using Lasso and Logistic regression to screen for risk factors of postoperative albumin infusion, a nomogram model was established to predict the risk of albumin infusion in elderly FTF patients after surgery. The area under curve (AUC) was used to check the accuracy of the prediction results of the model, and the decision curve analysis (DCA) was used to evaluate the clinical diagnostic value of the nomogram. Multivariate logistic regression analysis showed that age (OR = 1.052, 95% CI: 1.013 -1.092), intraoperative blood loss (IBL) (OR = 1.003, 95% CI: 1.001–1.006), operation time (OR = 1.013, 95% CI 1.004–2.022), preoperative ALB (OR = 0.769, 95% CI 0.701–0.843) and preoperative blood urea nitrogen (BUN) (OR = 1.136, 95% CI 1.049–1.229) were independent risk factors for albumin infusion after intramedullary nailing fixation of FTFs in the elderly. The AUC of the ROC curve is 0.806 (95% CI: 0.753–0.858). DCA showed that using the nomogram to predict the risk of postoperative albumin infusion had a high net benefit. The predictive nomogram model based on these five factors has good accuracy, which was of guiding significance for clinical screening of such high-risk groups, as well as the incidence of postoperative hypoalbuminemia and the risk of human albumin infusion.