To construct a nomogram model that affects postoperative complications of intertrochanteric femoral fracture in the elderly, and to evaluate the distinction and consistency of the model.

A total of 506 patients with intertrochanteric femoral fracture who were treated in Danyang People′s Hospital from March 2016 to March 2021 were included in the study for retrospective analysis. These patients were all low energy fracture injuries and received surgical treatment by closed reduction and Gamma intramedullary nail fixation within eight hours. The patients with hepatic or renal dysfunction, malignant tumor, hip arthritis, femoral head necrosis, and bone development disorder were excluded. According to whether complications occurred within one month after surgery, the patients were divided into the complication group (76 cases) and the non-complication group (430 cases). Univariate and multivariate logistic regression were used to analyze clinical data and screen the risk factors of postoperative complications in the elderly patients with intertrochanteric femoral fracture. Soft R was applied to structure a nomograph model to predict the postoperative complications of elderly patients with intertrochanteric femoral fracture, and the receiver operating characteristic (ROC) curve and calibration curve of subjects were used to verify the discrimination and consistency of the model.

The postoperative complication rate of elderly patients with intertrochanteric femoral fracture was 15% (76/506). Multivariate logistic regression analysis showed that diabetes [odds ratio (OR)=1.823, 95% confidence interval (CI)=(1.083, 3.069)], intraoperative blood loss≥118 ml [ OR=3.348, 95%CI=(1.828, 6.134)], anesthesia time≥154 min [OR=1.951, 95%CI=(1.122, 3.392)], and pre-injury physical condition (grade Ⅲ~Ⅵ) [OR=1.740, 95%CI=(1.017, 2.977)] were the risk factors for postoperative complications in the elderly patients with intertrochanteric femoral fracture (all P<0.05). The constructed nomogram prediction model had good discrimination [the area under the ROC curve(AUC)= 0.725, 95%CI=(0.663, 0.786)] and consistency (Hosmer-Lemeshow goodness of fit test: χ²=7.119, P=0.524).

The nomogram model constructed in this study to predict postoperative complications of elderly patients with intertrochanteric femoral fracture has good discrimination and consistency.