XXXX : A  systematic review.

@entity1 @entity1011 @entity532 @entity1353
BACKGROUND: Operative complications occur more frequently, often are more preventable, and their consequences can be more severe than other types of complications. Controversy exists regarding how best to identify and predict @entity532 . Several studies on predictive factors for @entity532 focused on a specific predictor for a specific outcome. To develop a reliable tool to identify @entity1 with @entity532 , insight in predictive factors for @entity532 is required. @entity1 AND METHODS: We searched all publications addressing predictive factors for the development of @entity532 in adult @entity1 admitted to the gastrointestinal, vascular, or general surgery departments. Data were extracted regarding study design, @entity1 characteristics, operative specialty, types of operative procedures, types of complications, possible predictors, and associated complication risk increase (expressed as an odds ratio; OR). RESULTS: The final set of 30 articles yielded a total of 53 predictive factors studied in various settings, operative specialties, and disorders. To focus our analysis we selected the 25 most robust and clinically applicable factors (ie, appearing in 3 or more studies). These factors were then categorized into 4 different groups: @entity1 -related factors, Co-morbidities, Laboratory values, and Surgery-related factors. The most predictive factors for morbidity in these groups were body mass index (ORs from 1.80 to 6.30), age (1.02-4.62  years), American Society of Anesthesiologists classification (1.77-7.10), @entity1353 (1.23-1.30), serum @entity1011 (1.39-2.14), emergency surgery (1.50-2.54), and functional status (1.36-4.07). CONCLUSION: This review presents a set of factors predictive of @entity532 for general surgery departments. These easily retrievable factors can and should be validated in the specific @entity1 populations of each hospital.
