Original Investigation
Transplantation
Performance of Creatinine-Based Estimates of GFR in Kidney Transplant Recipients: A Systematic Review

https://doi.org/10.1053/j.ajkd.2008.02.308Get rights and content

Background

Glomerular filtration rate (GFR) commonly is estimated in kidney transplantation by using creatinine-based estimation equations. The performance of these equations in kidney transplant recipients is unclear, with conflicting results between studies.

Study Design

Systematic review.

Setting & Population

Stable adult kidney transplant recipients more than 6 months posttransplantation.

Selection Criteria

Reporting of or ability to calculate from available data the GFR estimation equation bias (mean difference between measured GFR and estimated GFR) and percent accuracy (percentage of GFR estimates within 10%, 20%, or 30% of measured GFR).

Index Tests

Creatinine-based GFR estimation equations (Cockcroft-Gault, 6-variable Modification of Diet in Renal Disease [MDRD] Study, 4-variable MDRD Study, and Nankivell).

Reference Tests

GFR determination using plasma or renal clearance of inulin, radioisotopes, or nonradiographic contrast.

Results

The search yielded 23 studies. For the 4-variable MDRD Study equation, bias ranged from −11.4 to +9.2 mL/min/1.73 m2 (0.15 mL/s/1.73 m2). Only 76% of estimates were within 30% of measured GFR. For the Cockcroft-Gault equation, bias ranged from −4.0 to +16 mL/min/1.73 m2 and 73% of estimates were within 30% of measured GFR. For the Nankivell equation, bias ranged from −1.4 mL/min to 36.3 mL/min with a 30% accuracy of only 68%.

Limitations

This review is limited by the inability to pool bias data, lack of calibration of serum creatinine in the majority of studies, and inclusion of nonindependent observations in many studies.

Conclusions

Differences in patient populations, baseline GFRs of the study group, reference standard GFR used, and creatinine assay calibration likely account for the heterogeneity in results. These factors need to be considered by investigators and clinicians when interpreting estimates of GFR in kidney transplant recipients.

Section snippets

Search Strategy

A systematic literature search was performed using the MEDLINE (1966 to October 2006) and EMBASE (1980 to October 2006) databases with the assistance of a librarian with expertise in electronic searches. In MEDLINE, the medical subject heading (MeSH) term “kidney transplantation” was combined with Cockcroft-Gault formula or creatinine-based equations or Nankivell or MDRD or Modification of Diet in Renal Disease. In EMBASE, the MeSH term “kidney transplantation” was combined with the MeSH term

Results

The search yielded 692 citations from MEDLINE, 569 citations from EMBASE, and 14 from the hand search (Fig 1). Of 1,275 citations, 68 were considered potentially eligible. Full-text evaluation identified 23 studies that met inclusion criteria.3, 7, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32 The most common reason for exclusion was failure to report an estimate of GFR (Fig 1).

Discussion

This study shows the wide range of bias and accuracy values that exist between studies with both overestimation and underestimation of measured GFR using creatinine-based estimation equations. The between-study heterogeneity likely is caused by 3 main factors. First, there are reported and likely some unreported differences in the populations studied. Race, with its known relationship to serum creatinine,6 was not reported in most studies. Of studies that reported race, the overwhelming

Acknowledgements

Support: None.

Financial Disclosure: None.

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      2022, American Journal of Kidney Diseases
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      The dataset used to develop the new eGFR equations did not report the inclusion of KTRs.8 Validation of eGFR equations among KTRs is critical because previous eGFR equations have demonstrated low accuracy and poor precision among KTRs, often leading to misclassification of CKD staging.12,13 In the present study, we found overall similar performance of the new 2021 CKD-EPI eGFR equations compared with the 2009/2012 CKD-EPI equations among the kidney transplant population.

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    Originally published online as doi:10.1053/j.ajkd.2008.02.308 on May 2, 2008.

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