Preoperative blood markers and intra-abdominal infection after colorectal cancer resection

作     者：Chang-Qing Liu Zhong-Bei Yu Jin-Xian Gan Tian-Ming Mei 

作者机构：Department of Gastrointestinal Anorectal SurgerySuzhou Hospital Affiliated to Anhui Medical UniversitySuzhou 234000Anhui ProvinceChina 

出 版 物：《World Journal of Gastrointestinal Surgery》 (世界胃肠外科杂志（英文版）（电子版）)

年 卷 期：2024年第16卷第2期

页      面：451-462页

核心收录：

学科分类：1002[医学-临床医学] 100214[医学-肿瘤学] 10[医学] 

基　　金：Supported by Suzhou Health Scientific Research Project No.SZWJ2022a001 

主　　题：Radical resection of colorectal cancer Inflammatory factors Intra-abdominal infection Predictive model Blood markers 

摘      要：BACKGROUND Colorectal cancer(CRC)has one of the highest morbidity and mortality rates among digestive tract ***-abdominal infection(IAI)is a common postoperative complication that affects the clinical outcomes of patients with CRC and hinders their rehabilitation ***,the factors influencing abdominal infection after CRC surgery remain unclear;further,prediction models are rarely used to analyze preoperative laboratory indicators and postoperative *** To explore the predictive value of preoperative blood markers for IAI after radical resection of *** The data of 80 patients who underwent radical resection of CRC in the Anorectal Surgery Department of Suzhou Hospital affiliated with Anhui Medical University were *** patients were categorized into IAI(n=15)and non-IAI groups(n=65)based on whether IAI *** factors were compared;general data and laboratory indices of both groups were *** relationship between the indicators was ***,a nomogram prediction model was developed and evaluated;its utility and clinical applic-ability were *** The risk factors for IAI after radical resection of CRC were neutrophil-lymphocyte ratio(NLR),platelet-lymphocyte ratio(PLR),systemic immune-inflammation index(SII),and carcinoembryonic antigen(CEA)*** was correlated with PLR and SII(r=0.604,0.925,and 0.305,respectively),while PLR was correlated with SII(r=0.787).The nomogram prediction model demonstrated an area under the curve of 0.968[95%confidence interval(CI):0.948-0.988]in the training set(n=60)and 0.926(95%CI:0.906-0.980)in the validation set(n=20).The average absolute errors of the calibration curves for the training and validation sets were 0.032 and 0.048,respectively,indicating a good model *** decision curve analysis curves demonstrated high net income above the 5%threshold,indicating the clinical practicality of the *** The nomogram model constructed