Comparison of Various Equations for Estimating GFR in Malawi: How to Determine Renal Function in Resource Limited

Nicola Glaser1, Andreas Deckert1, Sam Phiri2

  • 1Institute of Public Health, University of Heidelberg, Heidelberg, Germany.

Plos One
|June 18, 2015
PubMed

Insights

Estimating chronic kidney disease (CKD) in Sub-Saharan Africa requires standardized methods. The CKD-EPI equation may underestimate CKD in HIV-positive individuals, highlighting the need for validated local formulas.

Area of Science:

  • Nephrology
  • Public Health
  • Infectious Diseases

Background:

  • Chronic kidney disease (CKD) is a significant public health concern in Sub-Saharan Africa, particularly among HIV-infected populations.
  • Accurate prevalence data is limited due to varied CKD classification methods in existing literature.

Purpose of the Study:

  • To evaluate the performance of various serum creatinine-based equations for estimating glomerular filtration rate (eGFR).
  • To compare these equations against a cystatin C-based equation in a Malawian adult population.
  • To identify potential discrepancies in eGFR estimation between HIV-positive and HIV-negative individuals.

Main Methods:

  • The study involved 363 adults in Lilongwe, Malawi, with 32% being HIV-positive.
  • Serum creatinine-based eGFR equations were assessed and compared with a cystatin C-based equation.
  • Statistical analyses included Bland-Altman plots and accuracy assessments.

Main Results:

  • The CKD-EPI equation, without the black American correction factor, demonstrated the best performance.
  • CKD-EPI systematically overestimated eGFR compared to cystatin C in HIV-positive individuals.
  • This overestimation led to an underestimation of CKD prevalence in the HIV-positive cohort.

Conclusions:

  • Standardization of eGFR calculation is crucial for Sub-Saharan Africa.
  • Further research is needed to understand HIV status-specific differences in eGFR.
  • Development of localized correction factors for eGFR equations is recommended.
Abstract

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