Literature DB >> 23470583

Risk factors associated with mortality after Roux-en-Y gastric bypass surgery.

Peter Benotti1, G Craig Wood, Deborah A Winegar, Anthony T Petrick, Christopher D Still, George Argyropoulos, Glenn S Gerhard.   

Abstract

OBJECTIVE: We sought to identify the major risk factors associated with mortality in Roux-en-Y gastric bypass (RYGB) surgery.
BACKGROUND: Bariatric surgery has become an established treatment for extreme obesity. Bariatric surgery mortality has steadily declined with current rates of less than 0.5%. However, significant variation in the mortality rates has been reported for specific patient cohorts and among bariatric centers.
METHODS: Clinical outcome data from 185,315 bariatric surgery patients from the Bariatric Outcome Longitudinal Database were reviewed. Of these, 157,559 patients had either documented 30 or more day follow-up data, including mortality. Multiple demographic, socioeconomic, and clinical factors were analyzed by univariate analysis for their association with 30-day mortality after gastric bypass. Variables found to be significant were entered into a multiple logistic regression model to identify factors independently associated with 30-day mortality. On the basis of these results, a RYGB mortality risk score was developed.
RESULTS: The overall 30-day mortality rate for the entire bariatric surgery cohort was 0.1%. Of the 81,751 RYGB patients, the mortality rate was 0.15%. Factors significantly associated with 30-day gastric bypass mortality included increasing body mass index (BMI) (P<0.0001), increasing age (P<0.005), male gender (P<0.001), pulmonary hypertension (P<0.0001), congestive heart failure (P=0.0008), and liver disease (P=0.038). When the RYGB risk score was applied, a significant trend (P<0.0001) between increasing risk score and mortality rate is found.
CONCLUSIONS: Increasing BMI, increasing age, male gender, pulmonary hypertension, congestive heart failure, and liver disease are risk factors for 30-day mortality after RYGB. The RYGB risk score can be used to determine patients at greater risk for mortality after RYGB surgery.

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Year:  2014        PMID: 23470583      PMCID: PMC4075503          DOI: 10.1097/SLA.0b013e31828a0ee4

Source DB:  PubMed          Journal:  Ann Surg        ISSN: 0003-4932            Impact factor:   12.969


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