![]() ![]() 2004 HCUP Nationwide Inpatient Sample (NIS) comparison report. Overview of the Nationwide Inpatients Sample (NIS). Overview of the Nationwide Inpatients Sample(NIS). 2005 43:1130–9.Īgency for Healthcare Research and Quality. Coding algorithms for defining comorbidities in ICD-9-CM and ICD-10 administrative data. Assessing validity of ICD-9-CM and ICD-10 administrative data in recording clinical conditions in a unique dually coded database. Comparison of the performance of two comorbidity measures, with and without information from prior hospitalizations. Comparison of the Elixhauser and Charlson/Deyo methods of comorbidity measurement in administrative data. Comorbidity measures for use with administrative data. Adapting a clinical comorbidity index for use with ICD-9-CM administrative databases. A new method of classifying prognostic comorbidity in longitudinal studies: development and validation. A comparison of Charlson and Elixhauser comorbidity measures to predict colorectal cancer survival using administrative health data. Lieffers JR, Baracos VE, Winget M, et al. Performance of comorbidity measures to predict stroke and death in a community-dwelling, hypertensive Medicaid population. Assessment and preparation of patients for bariatric surgery. Predictors of prolonged hospital stay following open and laparoscopic gastric bypass for morbid obesity: body mass index, length of surgery, sleep apnea, asthma, and the metabolic syndrome. ![]() ![]() Perioperative safety in the longitudinal assessment of bariatric surgery. Predicting risk for serious complications with bariatric surgery: results from the Michigan Bariatric Surgery Collaborative. A nomogram for predicting surgical complications in bariatric surgery patients. Development and validation of a bariatric surgery morbidity risk calculator using the prospective, multicenter NSQIP dataset. Obesity surgery mortality risk score: proposal for a clinically useful score to predict mortality risk in patients undergoing gastric bypass. Trends in use of bariatric surgery, 2003–2008. Impact of gastric bypass operation on survival: a population-based analysis. Bariatric surgery: a systematic review and meta-analysis. Effects of bariatric surgery on mortality in Swedish obese subjects. Sjostrom L, Narbro K, Sjostrom CD, et al. Screening and interventions for obesity in adults: summary of the evidence for the U.S. Medical and surgical options in the treatment of severe obesity. Prevalence and trends in obesity among US adults, 1999–2008. However, differences between the Charlson/Deyo and Elixhauser indices are modest, and each of these indices provides clinically relevant insight for predicting early postoperative outcomes in this high-risk patient population.įlegal KM, Carroll MD, Ogden CL, et al. The original Elixhauser index is the best predictor of early postoperative outcomes in our cohort of patients undergoing LRYGB. ![]() All four models had similar C-statistics, but the original Elixhauser index was associated with the smallest AIC for all of the surgical outcomes. Both the original and enhanced Elixhauser indices modestly outperformed the Charlson/Deyo in predicting the surgical outcomes. ResultsĪ total of 70,287 patients were included. Model performance for the four comorbidity indices was assessed and compared using C-statistics and the Akaike’s information criterion (AIC). Using multivariate logistic regression, the following early postoperative outcomes were assessed: overall postoperative complications, length of hospital stay, and conversion to open surgery. Comorbidities were assessed according to the original and enhanced Charlson/Deyo and Elixhauser indices. Using the Nationwide Inpatient Sample, patients 18 years or older undergoing LRYGB for obesity between 20 were identified. It is currently unclear which of the existing comorbidity measures best predicts early postoperative outcomes following LRYGB. The Charlson/Deyo and Elixhauser indices are widely used comorbidity measures, both of which also have revised algorithms based on enhanced ICD-9-CM coding. Patients undergoing laparoscopic Roux-en-Y gastric bypass (LRYGB) often have substantial comorbidities, which must be taken into account to appropriately assess expected postoperative outcomes. ![]()
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