Survival on dialysis among American Indians and Alaska Natives with diabetes in the United States, 1995-2010

Am J Public Health. 2014 Jun;104 Suppl 3(Suppl 3):S490-5. doi: 10.2105/AJPH.2014.301942. Epub 2014 Apr 22.

Abstract

Objectives: We assessed survival in American Indians and Alaska Natives (AI/ANs) with end-stage renal disease attributed to diabetes who initiated hemodialysis between 1995 and 2009.

Methods: Follow-up extended from the first date of dialysis in the United States Renal Data System until December 31, 2010, kidney transplantation, or death. We used the Kaplan-Meier method to compute survival on dialysis by age and race/ethnicity and Cox regression analysis to compute adjusted hazard ratios (HRs).

Results: Our study included 510,666 persons-48% Whites, 2% AI/AN persons, and 50% others. Median follow-up was 2.2 years (interquartile range = 1.1-4.1 years). At any age, AI/AN persons survived longer on hemodialysis than Whites; this finding persisted after adjusting for baseline differences. Among AI/AN individuals, those with full Indian blood ancestry had the lowest adjusted risk of death compared with Whites (HR = 0.58; 95% confidence interval = 0.55, 0.61). The risk increased with declining proportion of AI/AN ancestry.

Conclusions: Survival on dialysis was better among AI/AN than White persons with diabetes. Among AI/AN persons, the inverse relationship between risk of death and level of AI/AN ancestry suggested that cultural or hereditary factors played a role in survival.

MeSH terms

  • Alaska / epidemiology
  • Alaska / ethnology
  • Diabetic Nephropathies / ethnology
  • Diabetic Nephropathies / mortality*
  • Diabetic Nephropathies / therapy
  • Female
  • Humans
  • Indians, North American / statistics & numerical data*
  • Inuit / statistics & numerical data*
  • Kidney Failure, Chronic / ethnology
  • Kidney Failure, Chronic / mortality
  • Kidney Failure, Chronic / therapy
  • Male
  • Middle Aged
  • Population Surveillance
  • Renal Dialysis / mortality*
  • Survival Analysis
  • United States / epidemiology
  • White People / statistics & numerical data