Literature DB >> 19154321

Comparison of the Mayo Clinic Quadratic Equation with the Modification of Diet in Renal Disease equation and radionuclide glomerular filtration rate in a clinical setting.

Mohamed Saleem1, Christopher M Florkowski, Peter M George.   

Abstract

BACKGROUND: Recent guidelines recommend automatic reporting of estimated glomerular filtration rate (eGFR) using the abbreviated Modification of Diet in Renal Disease (MDRD) equation with every request for plasma creatinine. The Mayo Clinic Quadratic Equation (MCQE) has been put forwards as a potentially more accurate alternative. We therefore evaluated its accuracy compared with radionuclide GFR in a clinical setting.
METHOD: Data were collected on 601 patients aged 16-85 years who had undergone radionuclide GFR, and eGFR was calculated using MCQE and MDRD. Calculations of bias, correlation coefficients and percentage estimates within 30% and 50% of radionuclide GFR were used in comparisons.
RESULTS: The MCQE had a significant positive bias in the overall population but no significant bias in individuals with normal renal function defined as measured GFR > 90 mL/min per 1.73 m(2). There was no significant difference in the performance of MCQE and MDRD eGFR in patients with measured GFR > 90 mL/min per 1.73 m(2). However, in the overall group and in subjects with radionuclide GFR < 90 mL/min per 1.73 m(2), the accuracy of MDRD eGFR with respect to the proportion of patients within 30% and 50% of radionuclide GFR was better than MCQE.
CONCLUSION: MCQE compared moderately well with radionuclide GFR, although its overall bias and accuracy were inferior when compared with the MDRD equation in a clinical setting.

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Year:  2008        PMID: 19154321     DOI: 10.1111/j.1440-1797.2008.01045.x

Source DB:  PubMed          Journal:  Nephrology (Carlton)        ISSN: 1320-5358            Impact factor:   2.506


  4 in total

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Journal:  Curr Opin Nephrol Hypertens       Date:  2010-05       Impact factor: 2.894

2.  Comparison of five glomerular filtration rate estimating equations as predictors of acute kidney injury after cardiovascular surgery.

Authors:  Jun-Young Jo; Seung Ah Ryu; Jong-Il Kim; Eun-Ho Lee; In-Cheol Choi
Journal:  Sci Rep       Date:  2019-07-30       Impact factor: 4.379

3.  Estimating baseline kidney function in hospitalized adults with acute kidney injury.

Authors:  Thomas Larsen; Emily J See; Natasha Holmes; Rinaldo Bellomo
Journal:  Nephrology (Carlton)       Date:  2022-05-24       Impact factor: 2.358

4.  The predictive value of creatinine clearance for mortality in patients undergoing revascularization.

Authors:  Eilon Ram; Pazit Beckerman; Amit Segev; Nir Shlomo; Abigail Atlas-Lazar; Leonid Sternik; Ehud Raanani
Journal:  J Cardiothorac Surg       Date:  2021-05-01       Impact factor: 1.522

  4 in total

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