BACKGROUND: Groin wound @entity281 is a costly and morbid event after lower extremity revascularization. To date, a comprehensive and validated method for identifying @entity1 who are at greatest risk for this complication has yet to be developed. METHODS: Our retrospective analysis included all @entity1 at a single institution who underwent lower extremity revascularization using a groin incision from 2009 through 2012. @entity1 were randomly assigned to one of two groups: a test group, which was used to develop a predictive model for our primary outcome; and a validation group, which was used to test that model. The primary outcome for our analysis was severe groin wound @entity281 , which we defined as postoperative groin @entity281 that required operative intervention. Multimodel inference methods were used to evaluate all possible combinations, interactions, and transformations of potential predictor variables from the test group of @entity1 . The resulting model that exhibited the lowest Akaike information criterion was then selected for testing with the validation group of @entity1 . RESULTS: A total of 284 @entity1 who underwent lower extremity revascularization procedures were included in our study (140 in the test group, 144 in the validation group). In the test group, 17 @entity1 (12.1%) developed severe groin wound @entity281 requiring operative intervention. The best-fit predictive model developed from this group identified the following independent risk factors for severe groin wound @entity281 : prior ipsilateral groin incision, female gender, body mass index, @entity454 , @entity3147 , and urgent or emergency procedure status. The correct classification rate of this model in the test group was 88.6%. The incidence of severe groin wound @entity281 in the validation group was 13.9%, and application of our predictive model to this group yielded a correct classification rate of 86.1%. CONCLUSIONS: We have developed and validated a statistical model that accurately predicts those @entity1 who are likely to sustain severe groin wound @entity281 after lower extremity revascularization.

Validated prediction model for severe groin wound XXXX after lower extremity revascularization procedures.

@entity1 :: ('9606', 'Species') :: ['Patients', 'patients'] @entity281 :: ('MESH:D007239', 'Disease') :: ['infection'] @entity3147 :: ('MESH:D044342', 'Disease') :: ['malnutrition'] @entity454 :: ('MESH:D007676', 'Disease') :: ['end-stage renal disease']
@entity281 :: (MESH:D007239,Disease) :: ['infection']
