Risk factors for acute respiratory failure in bariatric surgery: Data from the Nationwide Inpatient Sample, 2006-2008
Department of Surgery, University of California, Irvine School of Medicine, Irvine, California.Surgery for Obesity and Related Diseases (Impact Factor: 4.07). 03/2012; 9(2). DOI: 10.1016/j.soard.2012.01.025
BACKGROUND: Acute respiratory failure (ARF) can be a life-threatening postoperative complication after bariatric surgery and is defined as the presence of acute respiratory distress or pulmonary insufficiency. We sought to identify predictors of ARF in patients who underwent bariatric surgery. METHODS: Using the Nationwide Inpatient Sample database, from 2006 to 2008, the clinical data from morbidly obese patients who underwent bariatric surgery were examined. Multivariate regression analysis was performed to identify the independent factors predictive of ARF. The factors examined included patient characteristics, co-morbidities, payer type, teaching status of hospital, surgical techniques (laparoscopic versus open), and type of bariatric operation (gastric bypass versus nongastric bypass). RESULTS: A total of 304,515 patients underwent bariatric surgery during the 3-year period. The overall ARF rate was 1.35%. The greatest rate of ARF (4.10%) was observed after open gastric bypass surgery. The ARF rate was lower after laparoscopic than after the open surgical technique (.94% versus 3.87%, respectively; P < .01) and after nongastric bypass versus gastric bypass (.82% versus 1.54%, respectively; P < .01). Using multivariate regression analysis, congestive heart failure (adjusted odds ratio [AOR] 5.1), open surgery (AOR 3.3), chronic renal failure (AOR 2.9), gastric bypass (AOR 2.5), peripheral vascular disease (AOR 2.4), male gender (AOR 1.9), age >50 years (AOR 1.8), Medicare payer (AOR 1.8), alcohol abuse (AOR 1.8), chronic lung disease (AOR 1.6), diabetes mellitus (AOR 1.2), and smoking (AOR 1.1) were factors associated with greater rates of ARF. Compared with patients without ARF, patients with ARF had significantly greater in-hospital mortality (5.69% versus .04%, P < .01). CONCLUSION: We identified multiple risk factors that have an effect on the development of acute respiratory failure after bariatric surgery. Surgeons should consider these factors in surgical decision-making and inform patients of their risk of this potentially life-threatening complication.
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ABSTRACT: The increasing incidence of bariatric/metabolic surgery has brought concerns about the short- and long-term safety of this definitive treatment option. Many multicenter, large cohort studies of outcomes after bariatric surgery have been performed worldwide. Due to innovation in surgical methods and postoperative management programs in this field, there is a continuous improvement of outcomes related to safety. Many systemic and surgical complications after bariatric surgery have been reported, and late complications after gastric banding procedure are becoming issues as long-term follow-up studies are being performed. These databases utilize both clinical and administrative data methods. They may report in hospital only 30 or 90 day complication rates. Perioperative mortality in the past has been reported in as many as 1.5 to 2 % of bariatric surgical cases. Most recently this mortality has been reduced to 0.04-0.3 % from registries involving many thousands of patients. Complications are defined variably. Serious complications reportedly occur in 1-4 % of patients. In malabsorptive procedures, nutritional and micronutrient support is important because they frequently cause nutritional and metabolic problems long after surgery. Also, procedure-related complications such as intestinal obstruction and anastomotic stricture should be monitored after gastric bypass. This review refers to such adverse events which can threaten patient safety after bariatric surgery.Current Atherosclerosis Reports 10/2012; 14(6). DOI:10.1007/s11883-012-0287-3 · 3.42 Impact Factor
Article: Pharmacology and ObesityInternational anesthesiology clinics 06/2013; 51(3):52-66. DOI:10.1097/AIA.0b013e31829a4d56
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ABSTRACT: Background: Bariatric surgery is an effective long-term treatment for morbid obesity. Although smoking is known to increase postoperative complications, the independent effect of smoking on bariatric surgical outcomes is unclear. The purpose of this study was to investigate the effect of smoking on bariatric surgical outcomes using the National Surgical Quality Improvement Program (NSQIP). Study design: Bariatric patients from 2005 to 2010 were identified in NSQIP for all types of bariatric procedures except adjustable gastric banding. Pre-treatment variables' univariate associations with smoking were examined with chi-square and t tests. Association of smoking with outcomes, corrected for relevant covariates, was tested with logistic regression within laparoscopic and open treatment groups. Results: A total of 41,445 patients underwent bariatric surgery (35,696 laparoscopic; 5,749 open). After controlling for covariates, smoking significantly increased the risk of organ space infection, prolonged intubation, reintubation, pneumonia, sepsis, shock, and longer length of stay in all patients undergoing bariatric surgery. In the open bariatric surgery subgroup, smoking was associated with a significantly higher incidence of organ space infection, prolonged intubation, pneumonia, and length of stay. In the laparoscopic surgery subgroup, smokers had a significantly increased incidence of prolonged intubation, reintubation, sepsis, shock, and length of stay. Smoking did not significantly increase the risk of mortality for patients undergoing bariatric surgery. Conclusions: These data suggest that smoking is a modifiable preoperative risk factor that significantly increases the incidence of postoperative morbidity but not mortality in both laparoscopic and open bariatric surgery. Smoking cessation may minimize the risk of adverse outcomes. Future investigation is needed to identify the optimal length of preoperative smoking cessation.Surgical Endoscopy 06/2014; 28(11). DOI:10.1007/s00464-014-3581-z · 3.26 Impact Factor
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