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Published in: BMC Nephrology 1/2012

Open Access 01-12-2012 | Research article

All-cause and cause-specific mortality associated with diabetes in prevalent hemodialysis patients

Authors: Abdus Sattar, Christos Argyropoulos, Lisa Weissfeld, Nizar Younas, Linda Fried, John A Kellum, Mark Unruh

Published in: BMC Nephrology | Issue 1/2012

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Abstract

Background

Diabetes is the most common risk factor for end-stage renal disease (ESRD) and has been associated with increased risk of death. In order to better understand the influence of diabetes on outcomes in hemodialysis, we examine the risk of death of diabetic participants in the HEMODIALYSIS (HEMO) study.

Methods

In the HEMO study, 823 (44.6%) participants were classified as diabetic. Using the Schoenfeld residual test, we found that diabetes violated the proportional hazards assumption. Based on this result, we fit two non-proportional hazard models: Cox’s time varying covariate model (Cox-TVC) that allows the hazard for diabetes to change linearly with time and Gray’s time-varying coefficient model.

Results

Using the Cox-TVC, the hazard ratio (HR) for diabetes increased with each year of follow up (p = 0.02) for all cause mortality. Using Gray’s model, the HR for diabetes ranged from 1.41 to 2.21 (p <0.01). The HR for diabetes using Gray’s model exhibited a different pattern, being relatively stable at 1.5 for the first 3 years in the study and increasing afterwards.

Conclusion

Risk of death associated with diabetes in ESRD increases over time and suggests that an increasing risk of death among diabetes may be underappreciated when using conventional survival models.
Appendix
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Metadata
Title
All-cause and cause-specific mortality associated with diabetes in prevalent hemodialysis patients
Authors
Abdus Sattar
Christos Argyropoulos
Lisa Weissfeld
Nizar Younas
Linda Fried
John A Kellum
Mark Unruh
Publication date
01-12-2012
Publisher
BioMed Central
Published in
BMC Nephrology / Issue 1/2012
Electronic ISSN: 1471-2369
DOI
https://doi.org/10.1186/1471-2369-13-130

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