Factors associated with pulmonary complications after hepatectomy and establishment of nomogram: A real-world retrospective study.

IF 2.9 Q1 ANESTHESIOLOGY
Indian Journal of Anaesthesia Pub Date : 2025-02-01 Epub Date: 2025-01-29 DOI:10.4103/ija.ija_885_24
Kunyu Han, Hui Liu, Ruiping Bai, Jiarui Li, Linjuan Zhang, Rui An, Di Peng, Jiamin Zhao, Mengwen Xue, Xin Shen
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Abstract

Background and aims: Hepatectomy is currently the most effective way to treat liver diseases, and its safety has observably improved. However, the incidence of postoperative complications (POCs) remains high. Therefore, exploring the related influencing factors helps identify high-risk groups early and improve patient prognosis.

Methods: Clinical data were retrospectively collected from a real-world setting. Patients were divided into two groups based on the incidence of postoperative pulmonary complications (PPCs). Univariate analysis, LASSO regression, and logistic regression were applied to analyse the correlation between PPCs and perioperative indicators. A nomogram prediction model was constructed, whose discrimination, accuracy, and clinical effectiveness were evaluated.

Results: The incidence of PPCs was 36.33% among the 1244 patients in this study. The total length of hospital stay and perioperative mortality in the PPCs group were markedly higher (P < 0.001) than in the non-PPCs group. Logistic regression showed that surgical method [odds ratio (OR) =2.469 (95% CI: 1.665, 3.748); P < 0.001], duration of surgery [OR = 1.003 (95% CI: 1.002, 1.005); P < 0.001], postoperative patient destination [OR = 1.453 (95% CI: 1.115, 1.893); P = 0.006], and postoperative international normalised ratio (INR) [OR = 2.245 (95% CI: 1.287, 4.120); P = 0.007] were independent risk factors of PPCs; the number of clamping [OR = 0.988 (95% CI: 0.980, 0.995); P = 0.001] was an independent protective factor of PPCs. The area under the receiver operating characteristic (ROC) curve was 0.675 (95% CI: 0.638, 0.703), the consistency index of the calibration curve was 0.675 (95% CI: 0.641, 0.703), and the Hosmer-Lemeshow goodness-of-fit test yielded P = 0.327.

Conclusions: In this study, the incidence of PPCs after hepatectomy was the highest. Our nomogram model can predict the probability of PPCs after hepatectomy.

肝切除术后肺部并发症的相关因素及提名图的建立:一项真实世界的回顾性研究
背景与目的:肝切除术是目前治疗肝脏疾病最有效的方法,其安全性已明显提高。然而,术后并发症(POCs)的发生率仍然很高。因此,探讨相关影响因素有助于早期识别高危人群,改善患者预后。方法:回顾性收集真实世界的临床资料。根据术后肺部并发症(PPCs)发生率将患者分为两组。采用单因素分析、LASSO回归和logistic回归分析PPCs与围手术期指标的相关性。建立了nomogram预测模型,并对其判别性、准确性和临床疗效进行了评价。结果:本组1244例患者中PPCs发生率为36.33%。PPCs组总住院时间和围手术期死亡率明显高于非PPCs组(P < 0.001)。Logistic回归显示手术方法[优势比(OR) =2.469 (95% CI: 1.665, 3.748);P < 0.001],手术时间[OR = 1.003 (95% CI: 1.002, 1.005);P < 0.001],术后患者目的地[OR = 1.453 (95% CI: 1.115, 1.893);P = 0.006],术后国际标准化比率(INR) [OR = 2.245 (95% CI: 1.287, 4.120);P = 0.007]是PPCs的独立危险因素;夹紧次数[OR = 0.988 (95% CI: 0.980, 0.995);P = 0.001]是PPCs的独立保护因素。受试者工作特征(ROC)曲线下面积为0.675 (95% CI: 0.638, 0.703),校准曲线一致性指数为0.675 (95% CI: 0.641, 0.703), Hosmer-Lemeshow拟合优度检验P = 0.327。结论:本研究中,肝切除术后PPCs发生率最高。我们的nomogram模型可以预测肝切除术后PPCs的发生概率。
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
CiteScore
4.20
自引率
44.80%
发文量
210
审稿时长
36 weeks
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