Influencing factors of 1-year postoperative mortality in elderly with hip fracture and construction of a nomogram prediction model

医学 列线图 髋部骨折 逻辑回归 多元分析 回顾性队列研究 急诊医学 物理疗法 风险评估 风险因素 外科 体质指数 死因 流行病学 内科学 死亡风险 回归分析 试验预测值 肌萎缩 老年病科
作者
YANG Changfeng,HE Yongqin,YI Dekun,LI Yu,LAI Linyu,ZHANG Yumei
出处
期刊:DOAJ: Directory of Open Access Journals - DOAJ
标识
DOI:10.16016/j.2097-0927.202209135
摘要

Objective To investigate the influencing factors of 1-year postoperative mortality in elderly patients with hip fracture based on new nutritional indicators, and draw a predictive nomogram for 1-year death in these elderly patients. Methods A retrospective study was conducted on 457 elderly hip fracture patients who underwent surgical treatment in our department from January 2018 to May 2021. All of them were followed up, and the outcomes in 1 year after operation were observed. Their baseline data, mini-nutritional assessment (MNA) score, nutritional risk screening 2002 (NRS2002) score, acute physiology and chronic health evaluation Ⅱ (APACHE Ⅱ) score, serum nutritional indicators, body compositions and other new nutritional indicators were collected and analysis with 1-year mortality as observation outcome. Multivariate logistic regression analysis was used to analyze the independent risk factors of 1-year postoperative death in these elderly patients, and further R Studio software was applied to build a nomograph model to predict the risk of death. Results Of 457 elderly patients with hip fracture, 52 (11.38%) died within 1 year after operation and 405 survived. More than 3 comorbidities, age, and C-reactive protein (CRP) level were independent risk factors [OR(95%CI): 3.196(1.107~9.226), 1.152(1.083~1.225), 1.013(1.004~1.022), P < 0.05], and BMI and skeletal muscle content were protective factors [OR(95%CI): 0.766(0.671~0.874), 0.782(0.726~0.842), P < 0.05] for death within 1 year after surgery in elderly patients with hip fracture. Based on the above 5 influencing factors, a column graph was drawn and assessed with internal verification. The results showed that the C-index of model differentiation and 95%CI was 0.92 and 0.870~0.970, respectively. The correction curve indicated that the model had good consistency, indicating that the column graph model had good predictive ability. Conclusion Age, CRP, BMI, ≥3 comorbidities and skeletal muscle content are independent risk factors for death within 1 year after hip fracture in elderly patients. The nomogram model has a certain effect on predicting the 1-year mortality risk in them.

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