Construction and validation of a risk prediction model for postoperative lung infection in elderly patients with lung cancer.

IF 1.3 4区 医学 Q2 MEDICINE, GENERAL & INTERNAL
Xiaojie Chen, Lixin Wu, Gang Lan, Xiaofeng Li, Xuejing Wang, Ping Zhang, Weihu Huang
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Abstract

This study aimed to analyze the risk factors for postoperative lung infection in elderly patients with lung cancer (LC) and construct a predictive model. A retrospective analysis was conducted on 192 elderly patients with LC who underwent surgical treatment in our hospital between February 2020 and May 2023. According to whether there is lung infection after surgery, they were divided into an infected group (n = 55) and a noninfected group (n = 137). Binary logistic regression was used to analyze factors influencing postoperative lung infection in elderly patients with LC. Based on the logistic regression results, a predictive model for postoperative lung infection in LC patients was constructed. The receiver operating characteristic curve was used to analyze C-reactive protein (CRP), interleukin-6 (IL-6), insulin-like growth factor-1 (IGF-1), and their combination in predicting postoperative lung infection in patients with LC. There were significant differences between the infected group and the noninfected group in age, smoking history, diabetes, and perioperative antibiotic use were significantly different between the infected and noninfected groups (P < .05). The postoperative CRP, IL-6, and IGF-1 levels in the infected group were higher than those in the noninfected group on the 1st day (P < .05). Logistic regression analysis showed that age > 70 years, history of smoking, history of diabetes, prolonged use of perioperative antibiotics, and elevated CRP, IL-6, and IGF-1 levels on the 1st day after surgery were risk factors for postoperative lung infection in elderly patients with LC (P < .05). Receiver operating characteristic curve analysis showed that the area under curve values of CRP, IL-6, IGF-1, and their combination in predicting postoperative lung infection in elderly patients with LC were 0.701, 0.806, 0.737, and 0.871, P < .05), with sensitivity values of 0.443, 0.987, 0.456, and 0.835, respectively; the specificity was 0.978, 0.525, 0.991, and 0.821, respectively. Age > 70 years, smoking history, diabetes history, prolonged use of perioperative antibiotics, and elevated CRP, IL-6, and IGF-1 levels on the 1st day after surgery have an impact on postoperative lung infection in elderly patients with LC. Early postoperative monitoring of changes in CRP, IL-6, and IGF-1 levels can provide an important reference for predicting the occurrence of postoperative lung infections.

构建并验证老年肺癌患者术后肺部感染的风险预测模型。
本研究旨在分析老年肺癌(LC)患者术后肺部感染的风险因素,并构建预测模型。研究对 2020 年 2 月至 2023 年 5 月期间在我院接受手术治疗的 192 例老年肺癌患者进行了回顾性分析。根据术后是否出现肺部感染,将其分为感染组(55 人)和非感染组(137 人)。采用二元逻辑回归分析影响老年 LC 患者术后肺部感染的因素。根据逻辑回归结果,构建了 LC 患者术后肺部感染的预测模型。利用接收者操作特征曲线分析了 C 反应蛋白(CRP)、白细胞介素-6(IL-6)、胰岛素样生长因子-1(IGF-1)及其组合在预测 LC 患者术后肺部感染中的作用。感染组和非感染组在年龄、吸烟史、糖尿病和围手术期抗生素使用方面存在明显差异(P 70)、术后第一天 CRP、IL-6 和 IGF-1 水平升高是老年 LC 患者术后肺部感染的危险因素(P 70 岁、吸烟史、糖尿病史、围手术期长期使用抗生素以及术后第一天 CRP、IL-6 和 IGF-1 水平升高对老年 LC 患者术后肺部感染有影响。术后早期监测 CRP、IL-6 和 IGF-1 水平的变化可为预测术后肺部感染的发生提供重要参考。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
Medicine
Medicine 医学-医学:内科
CiteScore
2.80
自引率
0.00%
发文量
4342
审稿时长
>12 weeks
期刊介绍: Medicine is now a fully open access journal, providing authors with a distinctive new service offering continuous publication of original research across a broad spectrum of medical scientific disciplines and sub-specialties. As an open access title, Medicine will continue to provide authors with an established, trusted platform for the publication of their work. To ensure the ongoing quality of Medicine’s content, the peer-review process will only accept content that is scientifically, technically and ethically sound, and in compliance with standard reporting guidelines.
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