ArticleFrontiers in nutrition2026
The risk factors and predictive nomogram for postoperative hypoalbuminemia in elderly patients undergoing hip arthroplasty.
Article in Frontiers in nutrition, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
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Abstract
Background: Postoperative hypoalbuminemia is a common nutritional-related complication in elderly patients undergoing hip replacement surgery, which is a common nutritional-related disorder that reflects nutritional imbalance during the perioperative period and is closely associated with adverse clinical outcomes, such as an increased risk of postoperative infection and prolonged hospital stay. Objective: This study aimed to identify the independent risk factors for postoperative hypoalbuminemia in elderly patients undergoing hip arthroplasty, and to develop a nomogram-based risk prediction model for perioperative clinical application. The ultimate goal was to facilitate early identification of high-risk patients and guide targeted interventions to reduce postoperative complication rates. Methods: A retrospective cohort study was conducted, enrolling 308 elderly patients who underwent hip arthroplasty from January 2015 to September 2024. Univariate analysis was first performed to screen potential risk factors. Variables with a Results: Postoperative hypoalbuminemia occurred in 170 of 308 patients (55.19%). Multivariate regression identified five independent risk factors: total fluid intake, preoperative serum total protein (TP), hydroxybutyrate dehydrogenase (HBDH), international normalized ratio (INR), and plasma D-dimer. Model calibration was excellent: the Hosmer-Lemeshow test yielded a Conclusion: Total fluid intake, preoperative TP, HBDH, INR and D-dimer level are five independent risk factors for postoperative hypoalbuminemia in elderly patients undergoing hip arthroplasty. The nomogram-based prediction model developed in this study exhibits good calibration, good discrimination and favorable clinical utility, making it a practical tool for guiding targeted clinical nutritional interventions, thereby optimizing patients' nutritional status and improving their clinical outcomes.
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