| Autor: |
Sattar Abdus, Argyropoulos Christos, Weissfeld Lisa, Younas Nizar, Fried Linda, Kellum John A, Unruh Mark |
| Jazyk: |
angličtina |
| Rok vydání: |
2012 |
| Předmět: |
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| Zdroj: |
BMC Nephrology, Vol 13, Iss 1, p 130 (2012) |
| Druh dokumentu: |
article |
| ISSN: |
1471-2369 |
| DOI: |
10.1186/1471-2369-13-130 |
| Popis: |
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 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. |
| Databáze: |
Directory of Open Access Journals |
| Externí odkaz: |
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