Publication: Clinical prediction score for superficial surgical site infection after appendectomy in adults with complicated appendicitis
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Issued Date
2018
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Language
eng
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Mahidol University
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BioMed Central
Bibliographic Citation
World Journal of Emergency Surgery. Vol.13 (2018), 23
Suggested Citation
Pinit Noorit, Boonying Siribumrungwong, Ammarin Thakkinstian Clinical prediction score for superficial surgical site infection after appendectomy in adults with complicated appendicitis. World Journal of Emergency Surgery. Vol.13 (2018), 23. doi:https://doi.org/10.1186/s13017-018-0186-1 Retrieved from: https://repository.li.mahidol.ac.th/handle/123456789/16178
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Title
Clinical prediction score for superficial surgical site infection after appendectomy in adults with complicated appendicitis
Abstract
Background: Superficial surgical site infection (SSI) is common after appendectomy. This study aims to determine a clinical prediction score for SSI after appendectomy in complicated appendicitis.
Methods: Data from randomized controlled trial of delayed versus primary wound closures in complicated
appendicitis was used. Nineteen patient- and operative-related predictors were selected in the logit model. Clinical
prediction score was then constructed using coefficients of significant predictors. Risk stratification was done by
receiver operating characteristic (ROC) curve analysis. Bootstrap technique was used to internal validate the score.
Results: Among 607 patients, the SSI incidence was 8.7% (95% CI 6.4, 11.2). Four predictors were significantly
associated with SSI, i.e., presence of diabetes, incisional length > 7 cm, fecal contamination, and operative
time > 75 min with the odds ratio of 2.6 (95% CI 1.2, 5.9), 2.8 (1.5, 5.4), 3.6 (1.9, 6.8), and 3.4 (1.8, 6.5),
respectively. Clinical prediction score ranged from 0 to 4.5 with its discrimination concordance (C) statistic of
0.74 (95% CI 0.66, 0.81). Risk stratification classified patients into very low, low, moderate, and high risk groups for SSI when none, one, two, and more than two risk factors were presented with positive likelihood ratio of 1.00, 1.45,
3.32, and 9.28, respectively. A bootstrap demonstrated well calibration and thus good internal validation.
Conclusions: Diabetes, incisional length, fecal contamination, and operative time could be used to predict SSI with acceptable discrimination. This clinical risk prediction should be useful in prediction of SSI. However, external validation should be performed.