直肠癌患者腹腔镜手术后吻合口漏的血清营养预测生物标志物和风险评估。

IF 1.8 4区 医学 Q3 GASTROENTEROLOGY & HEPATOLOGY
Paerhati Shayimu, Maitisaidi Awula, Chang-Yong Wang, Rexida Jiapaer, Yi-Peng Pan, Zhi-Min Wu, Yi Chen, Ze-Liang Zhao
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引用次数: 0

摘要

背景:吻合口漏(AL)是中/低位直肠癌腹腔镜手术后最严重的并发症之一,严重影响患者的预后。确定AL的可靠预测因素仍是一项临床挑战。血清营养生物标志物与手术预后有关联,但在这种情况下作为 AL 的预测工具还未得到充分探索。我们的研究假设,术前血清中的前白蛋白(PA)、白蛋白(ALB)和转铁蛋白(TRF)水平与手术因素一起可准确预测 AL 风险:在一家三级癌症中心开展的回顾性队列研究中,我们对2018年至2022年期间接受腹腔镜直肠癌手术的560人进行了检查。对术前血清中的 PA、ALB 和 TRF 水平进行了测定。我们采用多变量逻辑回归确定了AL的独立风险因素,并构建了一个预测模型,使用接收器操作特征曲线分析进行了评估:结果:11.96%的病例发生了 AL,560 例患者中有 67 例。多变量分析发现,PA、ALB 和 TRF 是独立的风险因素,各自的几率比分别为 2.621 [95% 置信区间 (CI):1.582-3.812,P = 0.012]、3.982 (95%CI:1.927-4.887,P = 0.024) 和 2.109 (95%CI:1.162-2.981,P = 0.031)。肿瘤位置(距肛门边缘<7厘米)和术中出血量≥300毫升也增加了AL风险。该预测模型的准确性极高,接收者操作特征曲线下面积为 0.942,灵敏度为 0.844,特异度为 0.922,显示了极佳的鉴别能力:结论:术前血清营养生物标志物与手术因素相结合,可以可靠地预测直肠癌术后吻合口漏的风险,凸显了其在术前评估中的重要性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Serum nutritional predictive biomarkers and risk assessment for anastomotic leakage after laparoscopic surgery in rectal cancer patients.

Background: Anastomotic leakage (AL) is one of the severest complications after laparoscopic surgery for middle/low rectal cancer, significantly impacting patient outcomes. Identifying reliable predictive factors for AL remains a clinical challenge. Serum nutritional biomarkers have been implicated in surgical outcomes but are underexplored as predictive tools for AL in this setting. Our study hypothesizes that preoperative serum levels of prealbumin (PA), albumin (ALB), and transferrin (TRF), along with surgical factors, can accurately predict AL risk.

Aim: To determine the predictive value of preoperative serum nutritional biomarkers for rectal cancer AL following laparoscopic surgery.

Methods: In the retrospective cohort study carried out at a tertiary cancer center, we examined 560 individuals who underwent laparoscopic procedures for rectal cancer from 2018 to 2022. Preoperative serum levels of PA, ALB, and TRF were measured. We employed multivariate logistic regression to determine the independent risk factors for AL, and a predictive model was constructed and evaluated using receiver operating characteristic curve analysis.

Results: AL occurred in 11.96% of cases, affecting 67 out of 560 patients. Multivariate analysis identified PA, ALB, and TRF as the independent risk factor, each with an odds ratio of 2.621 [95% confidence interval (CI): 1.582-3.812, P = 0.012], 3.982 (95%CI: 1.927-4.887, P = 0.024), and 2.109 (95%CI: 1.162-2.981, P = 0.031), respectively. Tumor location (< 7 cm from anal verge) and intraoperative bleeding ≥ 300 mL also increased AL risk. The predictive model demonstrated an excellent accuracy, achieving an area under the receiver operating characteristic curve of 0.942, a sensitivity of 0.844, and a specificity of 0.922, demonstrating an excellent ability to discriminate.

Conclusion: Preoperative serum nutritional biomarkers, combined with surgical factors, reliably predict anastomotic leakage risk after rectal cancer surgery, highlighting their importance in preoperative assessment.

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