Development and validation of risk prediction score for incisional surgical site infection after appendectomy

Surgical site infection (SSI) is a challenging and resource-consuming healthcare problem. Predicting the onset of SSI beforehand can help prevent or minimize its incidence. The present study aimed to determine the independent predictors of incisional SSI after open appendectomy using a multivariate...

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Bibliographic Details
Published in:Updates in surgery 2021-12, Vol.73 (6), p.2189-2197
Main Authors: Emile, Sameh Hany, Elfallal, Ahmed Hossam, Elbaz, Samy Abbas, Elmetwally, Ahmed Magdy
Format: Article
Language:English
Subjects:
Medicine
Medicine & Public Health
Original Article
Surgery
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Summary:Surgical site infection (SSI) is a challenging and resource-consuming healthcare problem. Predicting the onset of SSI beforehand can help prevent or minimize its incidence. The present study aimed to determine the independent predictors of incisional SSI after open appendectomy using a multivariate analysis and to establish a predictive risk score of SSI after appendectomy. Records of eligible patients who underwent open appendectomy were reviewed. The characteristics and treatment outcomes of patients were collected and analyzed. Significant association between different variables and SSI after appendectomy was examined by univariate analysis. Then, variables with a significant association with SSI were entered into a multivariate binary logistic regression analysis to determine the significant independent predictors of SSI. The study included 343 patients (51.3% female). Incisional SSI was recorded in 44 (12.8%) patients. Univariate analysis revealed five parameters with a significant association with SSI, including BMI > 30 kg/m 2 ( p  
ISSN:2038-131X
2038-3312
DOI:10.1007/s13304-020-00944-x