Key result
A predictive nomogram incorporating age, deep vein thrombosis, comorbidities, HDL-C, and hsCRP accurately predicted delayed surgical intervention (>48 hours) with an AUC of 0.749.
Why the study?
Surgical treatment of intertrochanteric fractures delayed beyond 48 h is associated with increased postoperative complications and mortality, especially in older adults.
Observational (n=1,116)
No
Effect estimate: AUC 0.749 (95% CI 0.621-0.801)
A newly developed nomogram model can reliably predict delayed surgical intervention in patients with intertrochanteric femur fractures, aiding clinical decision-making.
Nomogram offers moderate discrimination for delayed surgery in intertrochanteric fractures; hypothesis-generating and requires prospective validation before clinical use.
Background: Intertrochanteric fractures are one of the most common types of hip fractures, with delayed surgical treatment beyond 48 h associated with increased postoperative complications and mortality, especially in older adults. This study aimed to develop a predictive model for delayed preoperative waiting times in intertrochanteric fracture cases, based on previous research, to offer a valuable reference for clinical decision-making. Methods: A retrospective analysis was conducted on 1,116 patients with intertrochanteric fractures admitted to the Affiliated Hospital of Shandong University of Traditional Chinese Medicine for internal fixation surgery from January 2017 to January 2024. Patient demographic data and clinical examination results were collected. A logistic regression model was used to construct a predictive model, which was then visualized through a nomogram. The model's performance was subsequently validated. Results: The predictive model developed from 728 patients in the training cohort, identified key predictors, including age, sex, lower extremity deep vein thrombosis, injury location, and biochemical markers. The model demonstrated strong discriminative ability, with an area under the receiver operating characteristic curve of 0.749 (95% confidence interval: 0.621-0.801) for the training set, and 0.745 in the validation set. Calibration curves indicated that the predicted risk of surgical delay closely aligned with observed outcomes. Furthermore, decision curve analysis verified the model's clinical utility, demonstrating its effectiveness in guiding treatment decisions. Conclusion: The nomogram model developed in this study provides a reliable tool for predicting delayed surgical intervention in patients with intertrochanteric femur fractures. It offers clinicians a valuable reference to anticipate delays in surgical treatment and aids in the formulation of more timely and appropriate treatment strategies, potentially improving patient outcomes.
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Gong et al. (2025) conducted an observational in Intertrochanteric fractures (n=1,116). Risk factors (age, DVT, comorbidities, HDL-C, hsCRP) vs. Absence of risk factors was evaluated on Prediction of prolonged preoperative waiting time (>48 hours) (AUC 0.749, 95% CI 0.621-0.801). A predictive nomogram incorporating age, deep vein thrombosis, comorbidities, HDL-C, and hsCRP accurately predicted delayed surgical intervention (>48 hours) with an AUC of 0.749.
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