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

Padwal, Raj; Pajewski, Nicholas M.; Allison, David B.; Sharma, Arya M.

doi:10.1503/cmaj.110387

Cited by 313 publications

(241 citation statements)

References 17 publications

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“…The EOSS classifies the impact of obesity on an individual into five stages of severity (110). Stage 0 represents the obese phenotype with no co-morbidities.…”

Section: Edmonton Obesity Staging System (Eoss)mentioning

confidence: 99%

Morbidity and mortality associated with obesity

Abdelaal

Roux

Docherty

2017

Annals of Translational Medicine

769

459

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Obesity and its repercussions constitute an important source of morbidity, impaired quality of life and its complications can have a major bearing on life expectancy. The present article summarizes the most important co-morbidities of obesity and their prevalence. Furthermore, it describes classification and grading systems that can be used to assess the individual and combined impact of co-morbid conditions on mortality risk. The literature was screened for assessment tools that can be deployed in the quantification of morbidity and mortality risk in individual patients. Thirteen specific domains have been identified that account for morbidity and mortality in obesity. Cardiovascular disease (CVD) and cancer account for the greatest mortality risk associated with obesity. The King's Criteria and Edmonton Obesity Staging System (EOSS) were identified as useful tools for the detection and monitoring of individual patient mortality risk in obesity care. The stark facts on the complications of obesity should be capitalized on to improve patient management and knowledge and referred to in the wider dissemination of public health messages aimed at improving primary prevention.

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“…The EOSS classifies the impact of obesity on an individual into five stages of severity (110). Stage 0 represents the obese phenotype with no co-morbidities.…”

Section: Edmonton Obesity Staging System (Eoss)mentioning

confidence: 99%

Morbidity and mortality associated with obesity

Abdelaal

Roux

Docherty

2017

Annals of Translational Medicine

769

459

View full text Add to dashboard Cite

show abstract

“…We were unable to examine the effects of each chronic condition in isolation on RMR as only 8% of women and 2% of men did not have any chronic conditions. However, as research suggests that a small proportion of individuals (1.4 to 11.3%) with overweight and obesity have no other chronic conditions (98), the clinical population may in fact be representative of individuals with obesity. Due to a lack of data, we were also unable to examine the effects of fat free mass and changes in the health risk status of chronic conditions on ΔRMR.…”

Section: Extended Discussionmentioning

confidence: 99%

The associations of resting metabolic rate with chronic conditions and weight loss

et al. 2017

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Body weight is positively associated with RMR. However, there exists a paucity of research on the associations between baseline and changes in resting metabolic rate (ΔRMR) with chronic conditions and weight loss (WL), with findings being inconsistent. Sex stratified analysis was undertaken. Despite having a significant WL of 6.2 ± 8.5 kg (P<0.05), there were no significant ΔRMR (16 ±325 kcal/day, P > 0.05). Men and women with high blood pressure had higher baseline RMR, and only women with high LDL had lower baseline RMR than those without the respective chronic condition (P<0.05). Regardless of sex, WL was not significantly associated with baseline RMR or ΔRMR (P>0.05). This study suggests that participants with a low baseline RMR do not appear to be at a disadvantage for WL. Further, WL can occur without reductions in RMR in individuals with high levels of obesity and obesity-related comorbidities.iii

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“…However, patient selection using BMI alone may be criticized as being inaccurate and subjective, since it may not identify those patients that benefit most from bariatric surgery. We suggest that prioritizing patients with increased EOSS scores may identify obese patients with greater mortality risk, since EOSS is better correlated with mortality risk [7]. Determining the urgency for surgical intervention allows for improved prioritization of obese patients.…”

Section: The Role Of Edmonton Obesity Staging System In Bariatric Surmentioning

confidence: 98%

“…Two recent studies in three large and independent populations have compared EOSS to anthropometric measures like BMI or waist circumference as a predictor of mortality. In the first study, Padwal et al assessed the EOSS retrospectively using a representative cohort population of overweight and obese patients [7]. In this study, individuals with class III obesity (after adjustment for metabolic syndrome or waist line) had virtually no increased mortality risk compared to class II obese individuals (hazard ratio, HR 0.9), while individuals with EOSS 2 or 3 had a 4 to 12-fold greater hazard ratio, respectively, compared to individuals with EOSS 0/1 (Fig.…”

Section: Edmonton Obesity Staging Systemmentioning

confidence: 99%