Risk factors of postoperative mortality of femoral neck fractures in elderly patients and construction of a nomogram predictive model

doi:10.12307/2024.095

Abstract

Abstract: BACKGROUND: With a gradually aging population, improving the ability to screen for the risk of death after arthroplasty and implementing timely personalized intervention programs for the increasing number of elderly patients with femoral neck fractures is key to improving the postoperative status of patients and prolonging survival expectations.
OBJECTIVE: To investigate the risk factors for postoperative mortality in elderly patients with femoral neck fractures and to construct a nomogram predictive model to predict their mortality risk.
METHODS: The study was conducted on 155 elderly patients (≥ 65 years old) who underwent arthroplasty for femoral neck fracture from January 2016 to January 2021, and 147 patients who met the inclusion criteria were analyzed to collect clinical data that may affect the patients’ postoperative mortality. Single-factor and multi-factor Cox regression analyses were successively used to screen independent risk factors associated with postoperative mortality. The column line graph model was constructed and validated using Rstudio software.
RESULTS AND CONCLUSION: (1) Age, frailty (age-adjusted Charlson comorbidities score), preoperative activity status, osteoporosis, and postoperative serum albumin level were five independent risk factors for postoperative mortality in elderly patients with femoral neck fractures (P < 0.05). (2) The nomogram predictive model was constructed based on the results of multifactorial analysis, with a consistency index of 0.819 (95%CI: 0.771-0.868). Receiver operating characteristic curve analysis showed that the area under curve for 1-year and 3-year survival prediction was 0.854 3 and 0.726 3, respectively, indicating that the nomogram predictive model has good discriminatory and predictive power; calibration curve and decision curve analysis also showed good model discriminative power and clinical utility value. (3) The constructed nomogram predictive model has good diagnostic efficacy and accuracy, and can effectively assess the risk of postoperative death of patients.

Key words: elderly, femoral neck fracture, mortality, risk factor, regression analysis, nomogram prediction model

CLC Number:

Li Zhipeng, Huan Dawei, Yuan Zhaofeng, Qiu Yue, Zhang Chao, Xia Tianwei, Shen Jirong. Risk factors of postoperative mortality of femoral neck fractures in elderly patients and construction of a nomogram predictive model[J]. Chinese Journal of Tissue Engineering Research, 2024, 28(21): 3361-3366.

Figures/Tables 7

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