Key result
A nomogram incorporating six preoperative risk factors accurately predicted the risk of postoperative human serum albumin infusion after hip fracture surgery, with an AUC of 0.767 in the testing set.
Why the study?
Human serum albumin infusion used to treat post-hip fracture hypoalbuminemia may cause complications like postsurgical infection and increased mortality, warranting predictive risk models.
Cross-Sectional
Effect estimate: AUC 0.854 (training) and 0.767 (testing) (95% CI 0.811-0.898 (training), 0.686-0.847 (testing))
p-value: p=0.028
A nomogram combining six preoperative predictors can accurately predict the risk of postoperative human serum albumin infusion in patients undergoing hip fracture surgery.
May aid preoperative risk stratification for albumin infusion after hip fracture surgery; leaves open need for prospective validation.
Background: As one of the adverse events after hip fracture surgery, hypoalbuminemia is usually treated using human serum albumin infusion. However, the application of human serum albumin may cause complications such as postsurgical infection and increased mortality. Aims: To examine the preoperative risk factors of human serum albumin infusion after hip fracture surgery, establish a nomogram prediction model, and verify its accuracy. Study Design: A retrospective cross-sectional study. Methods: Eligible patients who underwent hip fracture surgery were divided into the infusion and non-infusion groups according to whether human serum albumin was infused or not. All patients were divided randomly into a training set and a testing set in line with the ratio of 7:3. In the training set, independent risk factors of postoperative human serum albumin infusion were determined by univariate logistic regression analysis, LASSO regression, and multivariate logistic regression analysis. Then, a nomogram model was established. Furthermore, the receiver operating characteristic curve and calibration curve were plotted, and decision curve analysis was performed for the training and testing sets to assess the predictability, discriminative ability, and clinical usefulness of the model. Results: = 0.028). Fracture type, a clinically significant factor, was also considered. Finally, the nomogram model was built based on these seven predictors. The areas under the curve of the nomogram were 0.854 (95% confidence interval, 0.811-0.898) and 0.767 (95% confidence interval, 0.686-0.847) in the training and testing sets separately. As shown in the calibration curve, the predicted result was consistent with the observed one. The decision curve analysis indicated that the nomogram has good clinical value. Conclusion: Low preoperative serum albumin levels, low preoperative red blood cell counts, prolonged preoperative prothrombin time, history of chronic lung disease, and general anesthesia were independent risk factors for postoperative human serum albumin infusion. Besides, the fracture type, clinically significant factor, was also included. The nomogram that combined these six predictors could accurately predict the risk of postoperative human serum albumin infusion.
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Liu et al. (2022) conducted a cross-sectional in hip fracture surgery. Preoperative risk factors (low serum albumin, low red blood cell counts, prolonged prothrombin time, chronic lung disease, general anesthesia, fracture type) was evaluated on Predictability of the nomogram model for postoperative human serum albumin infusion (AUC) (AUC 0.854 (training) and 0.767 (testing), 95% CI 0.811-0.898 (training), 0.686-0.847 (testing), p=0.028). A nomogram incorporating six preoperative risk factors accurately predicted the risk of postoperative human serum albumin infusion after hip fracture surgery, with an AUC of 0.767 in the testing set.
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