American Journal of Kidney Diseases
Volume 53, Issue 2 , Pages 218-228, February 2009

Prevalence of CKD in the United States: A Sensitivity Analysis Using the National Health and Nutrition Examination Survey (NHANES) 1999-2004

  • Jon J. Snyder, PhD, MS

      Affiliations

    • Division of Epidemiology and Community Health, School of Public Health, University of Minnesota, Minneapolis, MN
    • US Renal Data System, Minneapolis Medical Research Foundation, Minneapolis, MN
    • Corresponding Author InformationAddress correspondence to Jon J. Snyder, PhD, MS, 914 South 8th St, Ste S-253, Minneapolis, MN, 55404
  • ,
  • Robert N. Foley, MB

      Affiliations

    • US Renal Data System, Minneapolis Medical Research Foundation, Minneapolis, MN
    • Department of Medicine, University of Minnesota, Minneapolis, MN
  • ,
  • Allan J. Collins, MD

      Affiliations

    • US Renal Data System, Minneapolis Medical Research Foundation, Minneapolis, MN
    • Department of Medicine, University of Minnesota, Minneapolis, MN

Received 21 February 2008; accepted 18 July 2008. published online 28 October 2008.

Background

Estimates of chronic kidney disease (CKD) in the United States using the continuous National Health and Nutrition Examination Survey (NHANES) data set 1999-2004 indicate that 13.1% of the population (26.3 million people based on the 2000 census) has CKD stages 1 to 4.

Study Design

We performed sensitivity analyses to highlight assumptions underlying these estimates and illustrate their robustness to varying assumptions.

Setting & Participants

NHANES 1999-2004 was a nationally representative cross-sectional continuous survey of the civilian noninstitutionalized US population. Our sample included participants 20 years and older.

Reference Test

Estimated glomerular filtration rate (GFR) less than 60 mL/min/1.73 m2 defined from the 4-variable Modification of Diet in Renal Disease (MDRD) Study equation; albuminuria defined as persistence of urinary albumin-creatinine ratio greater than 30 mg/g.

Index Tests

We compared prevalence estimates using the MDRD Study equation with 2 other GFR estimating equations (equation 5 by Rule et al from the Mayo Clinic Donors study; Cockcroft-Gault equation adjusted for body surface area and corrected for the bias in the MDRD Study sample), and sex-specific cutoff values to define albuminuria.

Results

We found CKD stages 1 to 4 prevalence estimates ranging from 11.7% to 24.9%, a more than 2-fold difference resulting in population estimates of 25.8 million to 54.0 million people using 2006 population estimates. Considering only stages 3 and 4, which are not affected by the choice of cutoff values to define albuminuria, prevalence estimates ranged from 6.3% to 18.6%, resulting in population estimates of 13.7 million to 40.3 million people, a nearly 3-fold difference.

Limitations

NHANES 1999-2004 is a cross-sectional survey and allows for GFR and albumin-creatinine ratio estimates at 1 point in time. NHANES does not account for seniors in long-term care facilities.

Conclusions

Although CKD prevalence is high regardless of varying modeling assumptions, different assumptions yield large differences in prevalence estimates.

Index Words: Chronic kidney disease, glomerular filtration rate (GFR) estimating equations, National Health and Nutrition Examination Survey (NHANES), prevalence estimates

To access this article, please choose from the options below

Login to an existing account or Register a new account.

  • Purchase this article for 30.00 USD (You must login/register to purchase this article)

    Online access for 24 hours. The PDF version can be downloaded as your permanent record.

  • Subscribe to this title

    Get unlimited online access to this article and all other articles in this title 24/7 for one year.

  • Claim access now

    For current subscribers with Society Membership or Account Number.

  • Visit SciVerse ScienceDirect to see if you have access via your institution.
 

 Originally published online as doi:10.1053/j.ajkd.2008.07.034 on October 28, 2008.

PII: S0272-6386(08)01237-7

doi:10.1053/j.ajkd.2008.07.034

American Journal of Kidney Diseases
Volume 53, Issue 2 , Pages 218-228, February 2009