Identification of Risk Factors and Phenotypes of Surgical Site Infection in Patients After Abdominal Surgery

医学 手术部位感染 腹部外科 外科 鉴定(生物学) 普通外科 植物 生物
作者
Xufei Zhang,Yiyu Yang,Peizhao Liu,Peige Wang,Xuemin Li,Jianwei Zhu,Wei Mai,Weidong Jin,Wenjing Liu,Zhaoxi Zhou,Jiajie Wang,Mei‐Lin Wu,Rui Ma,Jiayu Chi,Xiuwen Wu,Jianan Ren
出处
期刊:Annals of Surgery [Ovid Technologies (Wolters Kluwer)]
卷期号:278 (5): e988-e994 被引量:7
标识
DOI:10.1097/sla.0000000000005939
摘要

We aimed to determine the current incidence rate and risk factors for surgical site infection (SSI) after abdominal surgery in China and to further demonstrate the clinical features of patients with SSI.Contemporary epidemiology and clinical features of SSI after abdominal surgery remain poorly characterized.A prospective multicenter cohort study was conducted from March 2021 to February 2022; the study included patients who underwent abdominal surgery at 42 hospitals in China. Multivariable logistic regression analysis was performed to identify risk factors for SSI. Latent class analysis (LCA) was used to explore the population characteristics of SSI.In total, 23,982 patients were included in the study, of whom 1.8% developed SSI. There was a higher SSI incidence in open surgery (5.0%) than in laparoscopic or robotic surgeries (0.9%). Multivariable logistic regression indicated that the independent risk factors for SSI after abdominal surgery were older age, chronic liver disease, mechanical bowel preparation, oral antibiotic bowel preparation, colon or pancreas surgery, contaminated or dirty wounds, open surgery, and colostomy/ileostomy. LCA revealed 4 subphenotypes in patients undergoing abdominal surgery. Types α and β were mild subclasses with a lower SSI incidence; whereas types γ and δ were the critical subgroups with a higher SSI incidence, but their clinical features were different.LCA identified 4 subphenotypes in patients who underwent abdominal surgery. Types γ and δ were critical subgroups with a higher SSI incidence. This phenotype classification can be used to predict SSI after abdominal surgery.
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