BACKGROUND AND OBJECTIVES: Hemoglobin variability is common among dialysis patients, and has been associated with increased mortality. The causal nature of this association has been difficult to ascertain because of potential time-dependent confounding, for which traditional statistical methods do not control. DESIGN, SETTINGS, PARTICIPANTS, & MEASUREMENTS: A retrospective cohort of 34,963 Fresenius Medical care dialysis patients from 1996 was assembled. Hemoglobin variability, absolute hemoglobin level, and temporal hemoglobin trend were measured over rolling 6-mo exposure windows. Their association with mortality was estimated using history-adjusted marginal structural analysis that adjusts for time-dependent confounding by applying weights to observations inversely related to the predictability of observed levels of hemoglobin. RESULTS: In the primary analysis, each g/dl increase in hemoglobin variability was associated with an adjusted hazard ratio (HR) [95% confidence interval (CI)] for all-cause mortality of 1.93 (1.20 to 3.10). Neither higher absolute hemoglobin level nor increasing hemoglobin trend were significantly associated with mortality; adjusted HR (95% CI) 0.85 (0.64 to 1.11) and 0.60 (0.25 to 1.45), respectively. CONCLUSIONS: Marginal structural analysis demonstrates that hemoglobin variability is associated with increased mortality among chronic hemodialysis patients, and that this effect is more pronounced than appreciated using standard statistical techniques that do not take time-dependent confounding into account.
BACKGROUND AND OBJECTIVES: Hemoglobin variability is common among dialysis patients, and has been associated with increased mortality. The causal nature of this association has been difficult to ascertain because of potential time-dependent confounding, for which traditional statistical methods do not control. DESIGN, SETTINGS, PARTICIPANTS, & MEASUREMENTS: A retrospective cohort of 34,963 Fresenius Medical care dialysis patients from 1996 was assembled. Hemoglobin variability, absolute hemoglobin level, and temporal hemoglobin trend were measured over rolling 6-mo exposure windows. Their association with mortality was estimated using history-adjusted marginal structural analysis that adjusts for time-dependent confounding by applying weights to observations inversely related to the predictability of observed levels of hemoglobin. RESULTS: In the primary analysis, each g/dl increase in hemoglobin variability was associated with an adjusted hazard ratio (HR) [95% confidence interval (CI)] for all-cause mortality of 1.93 (1.20 to 3.10). Neither higher absolute hemoglobin level nor increasing hemoglobin trend were significantly associated with mortality; adjusted HR (95% CI) 0.85 (0.64 to 1.11) and 0.60 (0.25 to 1.45), respectively. CONCLUSIONS: Marginal structural analysis demonstrates that hemoglobin variability is associated with increased mortality among chronic hemodialysis patients, and that this effect is more pronounced than appreciated using standard statistical techniques that do not take time-dependent confounding into account.
Authors: Eric D Weinhandl; Madhumati Rao; David T Gilbertson; Allan J Collins; Brian J G Pereira Journal: Am J Kidney Dis Date: 2007-11 Impact factor: 8.860
Authors: Jeffrey S Berns; Hafez Elzein; Robert I Lynn; Steven Fishbane; Ira S Meisels; Peter B Deoreo Journal: Kidney Int Date: 2003-10 Impact factor: 10.612
Authors: Adam E Gaweda; Brian H Nathanson; Alfred A Jacobs; George R Aronoff; Michael J Germain; Michael E Brier Journal: Clin J Am Soc Nephrol Date: 2010-07-29 Impact factor: 8.237
Authors: Ouhong Wang; Ryan D Kilpatrick; Cathy W Critchlow; Xiang Ling; Brian D Bradbury; David T Gilbertson; Allan J Collins; Kenneth J Rothman; John F Acquavella Journal: Clin J Am Soc Nephrol Date: 2009-12-17 Impact factor: 8.237
Authors: Steven M Brunelli; Glenn M Chertow; Elizabeth D Ankers; Edmund G Lowrie; Ravi Thadhani Journal: Kidney Int Date: 2010-01-20 Impact factor: 10.612