Relationship between body mass index and all-cause mortality in hemodialysis patients: a meta-analysis
10.3760/cma.j.issn.0578-1426.2012.09.013
- VernacularTitle:尿毒症血液透析患者体重指数与全因死亡率相关性的荟萃分析
- Author:
Jialin WANG
;
Yi ZHOU
;
Weijie YUAN
- Publication Type:Journal Article
- Keywords:
Body mass index;
Mortality;
Renal dialysis;
Meta-analysis
- From:
Chinese Journal of Internal Medicine
2012;51(9):702-707
- CountryChina
- Language:Chinese
-
Abstract:
ObjectiveTo explore the relationship between the different body mass index (BMI) ranges and all cause mortality in hemodialysis (HD) patients. MethodsEligible studies assessing the effects of BMI ranges on all-cause mortality(published from 1966 to 2012 )were searched, using hemodialysis/haemodialysis and obese/body mass index/overweight andmortality/surwival/reverse epidemiology/obesity paradox in PubMed,Embase,ScienceDirect,Wilcy,Scopus and Ovid. Inclusion criteria were that trials reported mortality in HD patients according to the traditional WHO/NIH BMI classification,and BMI levels were acceptable within 2 kg/m2.The quality of the trials was evaluated using the assessing risk of bias in studies included in Cochrane reviews.The mortality rate in HD patients was the primary endpoint of the study.ResultsWith no significant heterogeneity ( I2 =0％,P =0.45 ),a fixed-effects model was used for analysis.Four studies with a total of 81 423 patients met final inclusion criteria.Compared to individuals with non-elevated BMI levels,the elevated group (BMI ≥25 kg/m2) was associated with lower all-cause mortality ( OR 0.67,95％ CI 0.65-0.68 ). In a risk-adjusted sensitivity analysis,elevated BMI levels remained protective against mortality( adjusted HR 0.94,95％ CI 0.92-0.96 ).ConclusionsHigh BMI levels are associated with lower all-cause mortality rate in HD patients.More stable hemodynamic status,cytokine and neurohormonal alternations,and nutritional status maybe contribute to the protective effects of BMI on the mortality of HD patients.There is a need for more prospective studies to elucidate underlying mechanisms.
