Literature DB >> 21844111

Using the Edmonton obesity staging system to predict mortality in a population-representative cohort of people with overweight and obesity.

Raj S Padwal1, Nicholas M Pajewski, David B Allison, Arya M Sharma.   

Abstract

BACKGROUND: Anthropometric-based classification schemes for excess adiposity do not include direct assessment of obesity-related comorbidity and functional status and thus have limited clinical utility. We examined the ability of the Edmonton obesity staging system, a 5-point ordinal classification system that considers comorbidity and functional status, in predicting mortality in a nationally representative US sample.
METHODS: We analyzed data from the National Health and Human Nutrition Examination Surveys (NHANES) III (1988-1994) and the NHANES 1999-2004, with mortality follow-up through to the end of 2006. Adults (age ≥ 20 yr) with overweight or obesity who had been randomized to the morning session at the mobile examination centre were scored according to the Edmonton obesity staging system. We examined the relationship between staging system scores and mortality, and Cox proportional hazards models were adjusted for the presence of the metabolic syndrome or hypertriglyceridemic waist.
RESULTS: Over 75% of the cohort with overweight or obesity were given scores of 1 or 2. Scores of 4 could not be reliably assigned because specific data elements were lacking. Survival curves clearly diverged when stratified by scores of 0-3, but not when stratified by obesity class alone. Within the data from the NHANES 1988-1994, scores of 2 (hazard ratio [HR] 1.57; 95% confidence interval [CI] 1.16 to 2.13) and 3 (HR 2.69; 95% CI 1.98 to 3.67) were associated with increased mortality compared with scores of 0 or 1, even after adjustment for body mass index and the metabolic syndrome. We found similar results after adjusting for hypertriglyceridemic waist (i.e., waist circumference ≥ 90 cm and a triglyceride level ≥ 2 mmol/L for men; the corresponding values for women were ≥ 85 cm and ≥ 1.5 mmol/L), as well as in a cohort eligible for bariatric surgery.
INTERPRETATION: The Edmonton obesity staging system independently predicted increased mortality even after adjustment for contemporary methods of classifying adiposity. The Edmonton obesity staging system may offer improved clinical utility in assessing obesity-related risk and prioritizing treatment.

Entities:  

Mesh:

Substances:

Year:  2011        PMID: 21844111      PMCID: PMC3185097          DOI: 10.1503/cmaj.110387

Source DB:  PubMed          Journal:  CMAJ        ISSN: 0820-3946            Impact factor:   8.262


  14 in total

1.  Toward the rational and equitable use of bariatric surgery.

Authors:  David R Flum; Tipu V Khan; E Patchen Dellinger
Journal:  JAMA       Date:  2007-09-26       Impact factor: 56.272

Review 2.  A proposed clinical staging system for obesity.

Authors:  A M Sharma; R F Kushner
Journal:  Int J Obes (Lond)       Date:  2009-02-03       Impact factor: 5.095

3.  Treating severe obesity: morbid weights and morbid waits.

Authors:  Raj S Padwal; Arya M Sharma
Journal:  CMAJ       Date:  2009-08-17       Impact factor: 8.262

Review 4.  Clinical Guidelines on the Identification, Evaluation, and Treatment of Overweight and Obesity in Adults--The Evidence Report. National Institutes of Health.

Authors: 
Journal:  Obes Res       Date:  1998-09

Review 5.  Beyond the BMI: the search for better guidelines for bariatric surgery.

Authors:  Walter J Pories; Lynis G Dohm; Christopher J Mansfield
Journal:  Obesity (Silver Spring)       Date:  2010-02-11       Impact factor: 5.002

6.  Time-to-event analysis of longitudinal follow-up of a survey: choice of the time-scale.

Authors:  E L Korn; B I Graubard; D Midthune
Journal:  Am J Epidemiol       Date:  1997-01-01       Impact factor: 4.897

7.  Limits of body mass index to detect obesity and predict body composition.

Authors:  D C Frankenfield; W A Rowe; R N Cooney; J S Smith; D Becker
Journal:  Nutrition       Date:  2001-01       Impact factor: 4.008

8.  Obesity and the risk of myocardial infarction in 27,000 participants from 52 countries: a case-control study.

Authors:  Salim Yusuf; Steven Hawken; Stephanie Ounpuu; Leonelo Bautista; Maria Grazia Franzosi; Patrick Commerford; Chim C Lang; Zvonko Rumboldt; Churchill L Onen; Liu Lisheng; Supachai Tanomsup; Paul Wangai; Fahad Razak; Arya M Sharma; Sonia S Anand
Journal:  Lancet       Date:  2005-11-05       Impact factor: 79.321

9.  Comments on 'Choice of time scale and its effect on significance of predictors in longitudinal studies' by Michael J. Pencina, Martin G. Larson and Ralph B. D'Agostino, Statistics in Medicine 2007; 26:1343-1359.

Authors:  Mitchell H Gail; Barry Graubard; David F Williamson; Katherine M Flegal
Journal:  Stat Med       Date:  2009-04-15       Impact factor: 2.373

10.  Appropriateness criteria for bariatric surgery: beyond the NIH guidelines.

Authors:  Irina Yermilov; Marcia L McGory; Paul W Shekelle; Clifford Y Ko; Melinda A Maggard
Journal:  Obesity (Silver Spring)       Date:  2009-04-02       Impact factor: 5.002

View more
  95 in total

Review 1.  The potential role of the Edmonton obesity staging system in determining indications for bariatric surgery.

Authors:  Richdeep S Gill; Shahzeer Karmali; Arya M Sharma
Journal:  Obes Surg       Date:  2011-12       Impact factor: 4.129

2.  The skinny on BMI and mortality.

Authors:  Braiden Hellec; Denise Campbell-Scherer; G Michael Allan
Journal:  Can Fam Physician       Date:  2015-11       Impact factor: 3.275

3.  Inequalities in access to bariatric surgery in Canada.

Authors:  Arya M Sharma
Journal:  CMAJ       Date:  2015-11-23       Impact factor: 8.262

4.  Edmonton obesity staging system among pediatric patients: a validation and obesogenic risk factor analysis.

Authors:  M G Grammatikopoulou; M Chourdakis; K Gkiouras; P Roumeli; D Poulimeneas; E Apostolidou; I Chountalas; I Tirodimos; O Filippou; S Papadakou-Lagogianni; T Dardavessis
Journal:  J Endocrinol Invest       Date:  2018-01-08       Impact factor: 4.256

Review 5.  New pharmacological approaches for obesity management.

Authors:  Christian F Rueda-Clausen; Raj S Padwal; Arya M Sharma
Journal:  Nat Rev Endocrinol       Date:  2013-06-11       Impact factor: 43.330

6.  BMI: the Weakness of a Milestone in Obesity Management and Treatment.

Authors:  Francesco Frattini; Matteo Lavazza; Stefano Rausei; Francesca Rovera; Luigi Boni; Gianlorenzo Dionigi
Journal:  Obes Surg       Date:  2015-10       Impact factor: 4.129

7.  The Edmonton Obesity Staging System Predicts Perioperative Complications and Procedure Choice in Obesity and Metabolic Surgery-a German Nationwide Register-Based Cohort Study (StuDoQ|MBE).

Authors:  Sonja Chiappetta; Christine Stier; Rudolf A Weiner
Journal:  Obes Surg       Date:  2019-12       Impact factor: 4.129

8.  Obesity management: what brings success?

Authors:  Ylva Trolle Lagerros; Stephan Rössner
Journal:  Therap Adv Gastroenterol       Date:  2013-01       Impact factor: 4.409

9.  Prioritization and willingness to pay for bariatric surgery: the patient perspective.

Authors:  Richdeep S Gill; Sumit R Majumdar; Xiaoming Wang; Rebecca Tuepah; Scott W Klarenbach; Daniel W Birch; Shahzeer Karmali; Arya M Sharma; Raj S Padwal
Journal:  Can J Surg       Date:  2014-02       Impact factor: 2.089

10.  LAP-BAND for BMI 30-40: 5-year health outcomes from the multicenter pivotal study.

Authors:  J B Dixon; L L Eaton; V Vincent; R Michaelson
Journal:  Int J Obes (Lond)       Date:  2015-08-18       Impact factor: 5.095

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.