A nutrition-based nomogram for predicting intra-abdominal infection after D2 radical gastrectomy for gastric cancer.

IF 2.1 3区 医学 Q2 SURGERY
Xinghao Ma, Xiaoyang Jiang, Hao Guo, Jiajia Wang, Tingting Wang, Xiuming Lu
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引用次数: 0

Abstract

Background: This study aims to construct a nutrition-based nomogram for predicting the risk of intra-abdominal infection (IAI) after D2 radical gastrectomy for gastric cancer (GC).

Methods: We retrospectively analyzed the clinical data of 404 individuals who received D2 radical gastrectomy for GC. Four preoperative nutrition-related indicators, the nutritional risk screening (NRS) 2002 score, albumin (ALB), prognostic nutritional index (PNI), and controlling nutritional status (CONUT) score, were collected and calculated. Multivariate logistic regression analysis was utilized to screen the independent risk factors for IAI following D2 radical gastrectomy for GC. The area under the receiver operating characteristics (ROC) curve (AUROC) was computed. A nomogram was established to forecast postoperative IAI using the independent risk factors.

Results: The NRS2002 score, ALB, PNI, CONUT score, fasting blood glucose (FBG), American Society of Anesthesiologists (ASA) score, type of resection, multi-visceral resection, perioperative blood transfusion, and the tumor, node, metastasis (TNM) stage were significantly associated with postoperative IAI. Considering the collinearity between these nutrition-related variables, four multivariate logistic regression analyses were separately performed, and four independent nutrition-based models were constructed. Of these, the best one was the model based on the three indicators of NRS2002 score, FBG, and multi-visceral resection, which had an AUROC of 0.744 (0.657-0.830), with a specificity of 75.6% and a sensitivity of 62.9%. Further, a nomogram was constructed to estimate the probability of IAI following D2 radical gastrectomy. The internal validation was carried out using the bootstrap method with self-help repeated sampling 1000 times, and the concordance index (c-index) was determined at 0.742 (95% CI = 0.739-0.745). The calibration curve revealed that the predictive results of the nomogram were in excellent concordance with the actual observations. The decision curve analysis (DCA) indicates that the nomogram has excellent clinical benefit.

Conclusion: The nomogram constructed based on NRS2002 score, FBG, and multi-visceral resection has good predictive capacity for the incidence of IAI following D2 radical gastrectomy and provides a reference value for clinicians to assess the risk of IAI occurrence.

预测胃癌D2根治性胃切除术后腹腔感染的营养基础nomogram。
背景:本研究旨在构建基于营养的nomogram腹腔内感染(IAI)风险预测模型,以预测胃癌(GC) D2根治性胃切除术后腹腔内感染(IAI)的发生风险。方法:回顾性分析404例D2根治性胃癌患者的临床资料。收集并计算4项术前营养相关指标:营养风险筛查(NRS) 2002评分、白蛋白(ALB)、预后营养指数(PNI)和控制营养状况(CONUT)评分。采用多因素logistic回归分析筛选D2根治性胃癌术后IAI的独立危险因素。计算受试者工作特征曲线下面积(AUROC)。采用独立危险因素建立预测术后IAI的nomogram。结果:NRS2002评分、ALB、PNI、CONUT评分、空腹血糖(FBG)、美国麻醉医师学会(ASA)评分、切除类型、多脏器切除、围手术期输血、肿瘤、淋巴结、转移(TNM)分期与术后IAI有显著相关性。考虑到这些营养相关变量之间的共线性,分别进行了4个多变量logistic回归分析,并构建了4个独立的营养模型。其中,以NRS2002评分、FBG、多脏器切除3个指标为基础的模型效果最好,AUROC为0.744(0.657-0.830),特异性为75.6%,敏感性为62.9%。此外,构建了一个nomogram来估计D2根治性胃切除术后发生IAI的概率。采用自助重复抽样1000次的bootstrap方法进行内部验证,一致性指数(c-index)为0.742 (95% CI = 0.739 ~ 0.745)。标定曲线表明,nomogram预测结果与实际观测结果有很好的一致性。决策曲线分析(decision curve analysis, DCA)表明该图具有良好的临床疗效。结论:基于NRS2002评分、FBG、多脏器切除构建的nomogram对D2根治性胃切除术后IAI的发生有较好的预测能力,为临床医生评估IAI发生的风险提供了参考价值。
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
3.30
自引率
8.70%
发文量
342
审稿时长
4-8 weeks
期刊介绍: Langenbeck''s Archives of Surgery aims to publish the best results in the field of clinical surgery and basic surgical research. The main focus is on providing the highest level of clinical research and clinically relevant basic research. The journal, published exclusively in English, will provide an international discussion forum for the controlled results of clinical surgery. The majority of published contributions will be original articles reporting on clinical data from general and visceral surgery, while endocrine surgery will also be covered. Papers on basic surgical principles from the fields of traumatology, vascular and thoracic surgery are also welcome. Evidence-based medicine is an important criterion for the acceptance of papers.
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