Risk factors associated with readmission within 30 days following stoma surgery: Development of a ‘traffic light’ prediction model

医学 造口(药) 逻辑回归 结肠造口术 回肠造口术 急诊分诊台 回顾性队列研究 队列 结肠切除术 人口统计学的 外科 普通外科 内科学 急诊医学 结直肠癌 癌症 社会学 人口学
作者
Alexander T. Plonkowski,Callum Allison,Pete Philipson,R Brady
出处
期刊:Colorectal Disease [Wiley]
卷期号:25 (4): 747-756 被引量:1
标识
DOI:10.1111/codi.16423
摘要

Patients undergoing stoma surgery have a higher risk for early readmission. Some patients may benefit from closer postdischarge surveillance to provide early detection of complications and timely intervention. However, there is a paucity of validated tools to identify those at higher risk of readmission. Here, we aim to determine the independent risk factors associated with readmission within 30 days of discharge following stoma surgery, attempt to validate previous predictive models and develop a novel prediction tool.A retrospective review of 423 patients who underwent ileostomy or colostomy stoma formation at a UK tertiary colorectal centre between 2019 and 2021. Univariate, multivariate and logistic regression analyses were used to analyse a large number of demographics and risk factors and the association with readmission.This study cohort included 220 ileostomy and 203 colostomy patients. Of these, 87 (20.6%) were readmitted within 30 days of discharge following index surgery. A large number of demographics were evaluated for association with readmission. Readmission was associated with chronic heart failure (p < 0.05), postoperative stoma-specific complications (bleeding, p = 0.02; high-output stoma, p = 0.01) and those with a loop ileostomy (34.0% vs. 18.6%; p = 0.01). A previous predictive model was ineffective in this cohort, therefore a simplified 'traffic light' risk scoring system was developed and found to have improved discrimination.Readmission following stoma formation is associated with key variables that could provide the means to triage, risk score and potentially predict readmissions. We found that a novel and simplified scoring system may provide improved prediction.
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