Key result
A nomogram prediction model for postoperative complications in patients >80 years with hip fractures showed reliable discrimination with AUCs of 0.743 and 0.767 in training and validation cohorts.
Why the study?
Postoperative complications of hip fractures in the elderly, particularly oldest-old individuals, cause high disability and mortality, presenting a growing public health concern.
Observational (n=514)
Effect estimate: AUC 0.743 (training) and 0.767 (validation)
p-value: p=< 0.05
A developed nomogram model can accurately quantify the risk of postoperative complications among oldest-old patients with hip fractures, with complications adding a direct economic burden of US$1045.10.
Nomogram offers moderate discrimination for complications in oldest-old hip fracture patients; leaves open prospective validation before informing decisions.
Purpose: The high rates of disability and mortality due to postoperative complications of hip fractures in the elderly, especially the oldest-old individuals, have become an increasingly serious global public health concern. This study aimed to establish a nomogram prediction model and analyze the economic burden to guide clinical decision-making and improve patient prognosis. Methods: Data of 514 patients aged over 80 years with hip fractures who received surgical treatment were retrospectively collected, and the patients were divided into training and validation cohorts. Independent risk factors for postoperative complications were identified based on logistic regression analysis, and a nomogram was constructed. The model was evaluated for its discrimination and consistency using receiver operating characteristic (ROC) curves and calibration curves, and for its clinical benefit using decision curve analysis (DCA). The economic burden was analyzed using propensity score matching (PSM). Results: < 0.05). The areas under the curve (AUC) of the nomogram prediction model for the training and validation cohorts were 0.743 and 0.767, respectively, indicating reliable discrimination. The calibration curves and DCA showed that the model has good consistency and high benefits. The direct economic burden of postoperative complications for the patients was US$1045.10. Conclusions: The nomogram model can accurately quantify the risk of postoperative complications among oldest-old patients with hip fractures and guide clinical professionals to implement early and targeted preventive treatment for high-risk patients.
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Shi et al. (2023) conducted an observational in hip fractures (n=514). Nomogram prediction model was evaluated on Discrimination of the nomogram prediction model for postoperative complications (AUC 0.743 (training) and 0.767 (validation), p=< 0.05). A nomogram prediction model for postoperative complications in patients >80 years with hip fractures showed reliable discrimination with AUCs of 0.743 and 0.767 in training and validation cohorts.
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