التفاصيل البيبلوغرافية
| العنوان: |
Risk factors associated with readmission within 30 days following stoma surgery: Development of a 'traffic light' prediction model. |
| المؤلفون: |
Plonkowski, Alexander, Allison, Callum, Philipson, Pete, Brady, Richard R. W. |
| المصدر: |
Colorectal Disease; Apr2023, Vol. 25 Issue 4, p747-756, 10p |
| مصطلحات موضوعية: |
ILEOSTOMY, SURGICAL stomas, PATIENT readmissions, PREDICTION models, DISEASE risk factors, LOGISTIC regression analysis |
| مصطلحات جغرافية: |
UNITED Kingdom |
| مستخلص: |
Aim: 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. Method: 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. Results: 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. Conclusion: 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. [ABSTRACT FROM AUTHOR] |
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| قاعدة البيانات: |
Complementary Index |
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