A NSQIP Analysis of XXXX and Perioperative Outcomes in General Surgery.

@entity1 @entity648 @entity409 @entity260 @entity1578 @entity3851 @entity1011 @entity169 @entity14147
It is well known that @entity409 has an adverse effect on postoperative outcomes. However, what is still unknown is how to appropriately risk stratify this @entity1 population based on the degree of @entity1578 . Because data are limited, specifically in general surgery practice, we analyzed the @entity3851 ( @entity3851 ) in terms of predicting @entity260 after one of three general surgery operations: @entity169 ( @entity169 ), @entity14147 ( @entity14147 ), and colon resection (CRXN). National Surgical Quality Improvement Program data on 17,812 total @entity1 undergoing one of three general surgery operations from 2008 to 2012 were analyzed retrospectively. There were 7402 @entity1 undergoing @entity169 ; 5014 @entity1 undergoing @entity14147 ; 5396 @entity1 undergoing CRXN. @entity3851 score was calculated using international normalized ratio, total @entity648 , and @entity1011 . The primary end point was any @entity260 . The statistical method used was logistic regression. For @entity169 , @entity14147 , and CRXN, the overall complication rates were 3.4, 6.4, and 45.9 per cent, respectively. The mean @entity3851 scores were 8.6, 8.5, and 8.5, respectively. For every 1-point increase greater than the mean @entity3851 score, there was a 7.8, 13.8, and 11.6 per cent increase in any @entity260 . The overall 30-day mortality rate was 0.9 per cent. In conclusion, the @entity3851 score continuum adequately predicts @entity1 ' increased risk of @entity260 after @entity169 , @entity14147 , and CRXN. Therefore, @entity3851 could be used for preoperative risk stratification and guide clinical decision making for general surgery in the cirrhotic @entity1 .
