BACKGROUND/PURPOSE: To present a validated model that reliably predicts unplanned readmission after open @entity4037 repair (open- @entity42925 ). STUDY DESIGN: A total of 17,789 open- @entity42925 @entity1 were identified using the 2011-2012 ACS-NSQIP databases. This cohort was subdivided into 70 and 30  % random testing and validation samples, respectively. Thirty-day unplanned readmission was defined as unexpected readmission for a postoperative occurrence related to the open- @entity42925 procedure. Independent predictors of 30-day unplanned readmission were identified using multivariable logistic regression on the testing sample (n  =  12,452 @entity1 ). Subsequently, the predictors were weighted according to b-coefficients to generate an integer-based Clinical Risk Score (CRS) predictive of readmission, which was validated using receiver operating characteristics (ROC) analysis of the validation sample (n  =  5337 @entity1 ). RESULTS: The rate of 30-day unplanned readmission was 4.7  %. Independent risk factors included inpatient status at time of open- @entity42925 , operation time, enterolysis, underweight, @entity6 , preoperative @entity417 , length of stay, @entity1030 , history of @entity3459 , @entity547 with @entity13879 , and panniculectomy (all P  <  0.05). ROC analysis of the validation cohort rendered an area under the curve of 0.71, which demonstrates the accuracy of this prediction model. Predicted incidence within each 5 risk strata was statistically similar to the observed incidence in the validation sample (P  =  0.18), further highlighting the accuracy of this model. CONCLUSION: We present a validated risk stratification tool for unplanned readmissions following open- @entity42925 . Future studies should determine if implementation of our CRS optimizes safety and reduces readmission rates in open- @entity42925 @entity1 .

A validated, risk assessment tool for predicting readmission after open XXXX repair.

@entity1 :: ('9606', 'Species') :: ['patients'] @entity417 :: ('MESH:D000740', 'Disease') :: ['anemia'] @entity6 :: ('MESH:D003920', 'Disease') :: ['diabetes'] @entity13879 :: ('MESH:D005734', 'Disease') :: ['gangrene'] @entity42925 :: ('1845', 'Gene') :: ['VHR'] @entity3459 :: ('MESH:D025861', 'Disease') :: ['bleeding disorders'] @entity547 :: ('MESH:D006547', 'Disease') :: ['hernia'] @entity1030 :: ('MESH:D029424', 'Disease') :: ['chronic obstructive pulmonary disease'] @entity4037 :: ('MESH:D006555', 'Disease') :: ['ventral hernia']
@entity4037 :: (MESH:D006555,Disease) :: ['ventral hernia']
