Development and validation of a multivariable prediction model in open abdomen patients for entero-atmospheric fistula

ANZ J Surg. 2022 May;92(5):1079-1084. doi: 10.1111/ans.17512. Epub 2022 Feb 4.

Abstract

Background: Laparostomy or Open Abdomen (OA) has matured into an effective strategy in the management of abdominal catastrophe. Single prognostic factors have been identified in a previous systematic review regarding entero-atmospheric fistula (EAF). Unfortunately, no prognostic multivariable model for EAF exist. The aim was to develop and validate a multivariable prediction model from a retrospective cohort study involving three hospital's databases.

Methods: Fifty-seven variables were evaluated to develop a multivariable model. Univariate and multivariable logistic regression analyses were performed for on a developmental data set from two hospitals. Receiver operator characteristics analysis with area under the curve (AUC) and 95% confidence intervals (CI) were performed on the developmental data set (internal validation) as well as on an additional validation data set from another hospital (external validation).

Results: Five-hundred and forty-eight patients managed with an OA. Two variables remained in the multivariable prediction model for EAF. The AUC for EAF on internal validation were 0.74 (95% CI: 0.58-0.86) and 0.79 (95% CI: 0.67-0.92) on external validation.

Conclusions: A multivariable prediction model for EAF was externally validated and an easy-to-use probability nomogram was constructed using the two predictor variables.

Level of evidence: III; prognostic.

Keywords: ICU; acute care surgery; general surgery; trauma; trauma acute care.

MeSH terms

  • Abdominal Cavity*
  • Fistula*
  • Humans
  • Nomograms
  • Prognosis
  • Retrospective Studies