2012
DOI: 10.2215/cjn.05700611
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Obesity and Mortality Risk among Younger Dialysis Patients

Abstract: SummaryBackground and objectives Many studies show that obesity in dialysis patients is not strongly associated with mortality but not whether this modest association is constant over age. This study investigated the extent to which the relation of body mass index (BMI) and mortality differs between younger and older dialysis patients.Design, setting, participants, & measurements Adult dialysis patients were prospectively followed from their first dialysis treatment for 7 years or until death or transplantatio… Show more

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Cited by 99 publications
(91 citation statements)
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References 43 publications
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“…First, de Mutsert et al [29], in a 2007 study of 722 incident dialysis patients between 50 and 65 years with a seven-year observation period, found that the association between BMI and mortality is not reversed and concluded that the duration and age must be taken into account when interpreting the association between obesity and survival. Hoogeveen et al [20], in another analysis of the NECOSAD in 2012, divided patients into older or younger than 65 years and concluded that younger patients with a high BMI, as is the case with the general population, had higher death rates than those with normal BMI and that among older patients there were similar death rates between the obese and those with normal BMI. This disparity with the results of earlier studies is attributed by the authors to reasons such as too short a period of observation, the inclusion of prevalent dialysis patients, and the combination of results between younger and older patients, among others.…”
Section: Discussionmentioning
confidence: 99%
See 1 more Smart Citation
“…First, de Mutsert et al [29], in a 2007 study of 722 incident dialysis patients between 50 and 65 years with a seven-year observation period, found that the association between BMI and mortality is not reversed and concluded that the duration and age must be taken into account when interpreting the association between obesity and survival. Hoogeveen et al [20], in another analysis of the NECOSAD in 2012, divided patients into older or younger than 65 years and concluded that younger patients with a high BMI, as is the case with the general population, had higher death rates than those with normal BMI and that among older patients there were similar death rates between the obese and those with normal BMI. This disparity with the results of earlier studies is attributed by the authors to reasons such as too short a period of observation, the inclusion of prevalent dialysis patients, and the combination of results between younger and older patients, among others.…”
Section: Discussionmentioning
confidence: 99%
“…A recent study suggested an effect modification of this phenomenon by age: in a cohort of incident dialysis patients from the Netherlands, the obesity paradox was observed only among elderly individuals, and obesity behaved as a mortality risk factor in younger patients (<65 years) [20]. Confirmation of this observation is important, as it may motivate different therapeutic body weight measures in this heterogeneous population.…”
Section: Introductionmentioning
confidence: 98%
“…In older age groups, hemodialysis patients with stable weight had a longer survival than elderly who lose or gain weight [30]. Death rates of obese younger dialysis patients (< 65 years) are 1.7-fold higher than for the older group (> 65 years) after adjustment for comorbidity and treatment modality [31].…”
Section: Obesity In Advanced Ckd and Dialysis: A Paradoxmentioning
confidence: 95%
“…There is also emerging evidence that this ‘reverse epidemiology’ may not be present in all subgroups. For example, a new study that followed adult dialysis patients from the first dialysis treatment until 7 years, death, or kidney transplant found that while older dialysis patients had ‘reverse epidemiology’ for BMI, younger patients with a high BMI had 1.7 times the standardized mortality of young patients with normal BMI, mirroring typical general population patterns [23]. …”
Section: Controversies Related To Use Of Bmi For Candidate Selectionmentioning
confidence: 99%