Preoperative @entity3147 assessments as predictors of postoperative mortality and morbidity in XXXX : an analysis of ACS-NSQIP.

@entity1 @entity353 @entity4988 @entity5 @entity260 @entity3147 @entity14
BACKGROUND: Nutritional status is an important factor in predicting the risk associated with surgery for @entity5 @entity1 . This is especially true in @entity14 . Many nutritional assessments are used in clinical practice, but those assessments are rarely evaluated for their ability to predict postoperative outcome. METHODS: This is a retrospective, multi-institutional study of the ACS-NSQIP database, investigating preoperative nutrition status and its association with postoperative mortality and morbidity. RESULTS: The prevalence of @entity3147 is higher in @entity14 , when compared with other most common @entity5 . Among 42,483 @entity14 @entity1 postoperative mortality was significantly associated with @entity4988 (hazard ratio = 3.064, p < 0.001), body @entity353 (hazard ratio = 1.229, p = 0.033) and body mass index of <18.5 kg/m(2) (hazard ratio = 1.797, p < 0.001). Only @entity4988 significantly predicted all @entity260 , even in further multivariate logistic regression analyses (p < 0.001). Multiple regression analysis showed that the @entity4988 group had the highest coefficient in significant association with length of total hospital stay (B = 3.585, p < 0.001) and overall complication (B = 0.119, p < 0.001). CONCLUSIONS: In @entity14 , @entity3147 significantly contributes to postoperative mortality, morbidity and length of total hospital stay. @entity4988 , with levels below 3.5 g/dl, serves as an excellent assessment tool and preoperative predictor of postoperative outcomes.
