Development and validation of GFR-estimating equations using diabetes, transplant and weight
(2010) In Nephrology Dialysis Transplantation 25(2). p.449-457- Abstract
- Methods. Linear regression was used to relate log-measured GFR (mGFR) to sex, race, diabetes, transplant, weight, various transformations of creatinine and age with and without interactions. Equations were developed in a pooled database of 10 studies [2/3 (N = 5504) for development and 1/3 (N = 2750) for internal validation], and final model selection occurred in 16 additional studies [external validation (N = 3896)]. Results. The mean mGFR was 68, 67 and 68 ml/min/ 1.73 m(2) in the development, internal validation and external validation datasets, respectively. In external validation, an equation that included a linear age term and spline terms in creatinine to account for a reduction in the magnitude of the slope at low serum creatinine... (More)
- Methods. Linear regression was used to relate log-measured GFR (mGFR) to sex, race, diabetes, transplant, weight, various transformations of creatinine and age with and without interactions. Equations were developed in a pooled database of 10 studies [2/3 (N = 5504) for development and 1/3 (N = 2750) for internal validation], and final model selection occurred in 16 additional studies [external validation (N = 3896)]. Results. The mean mGFR was 68, 67 and 68 ml/min/ 1.73 m(2) in the development, internal validation and external validation datasets, respectively. In external validation, an equation that included a linear age term and spline terms in creatinine to account for a reduction in the magnitude of the slope at low serum creatinine values exhibited the best performance (bias = 2.5, RMSE = 0.250) among models using the four basic predictor variables. Addition of terms for diabetes and transplant did not improve performance. Equations with weight showed a small improvement in the subgroup with BMI < 20 kg/m(2). Conclusions. The CKD-EPI equation, based on creatinine, age, sex and race, has been validated and is more accurate than the MDRD study equation. The addition of weight, diabetes and transplant does not significantly improve equation performance. (Less)
Please use this url to cite or link to this publication:
https://lup.lub.lu.se/record/1547207
- author
- organization
- publishing date
- 2010
- type
- Contribution to journal
- publication status
- published
- subject
- keywords
- rate, validation, glomerular filtration, estimating equation, creatinine, development
- in
- Nephrology Dialysis Transplantation
- volume
- 25
- issue
- 2
- pages
- 449 - 457
- publisher
- Oxford University Press
- external identifiers
-
- wos:000273891600022
- scopus:75649116099
- ISSN
- 1460-2385
- DOI
- 10.1093/ndt/gfp510
- language
- English
- LU publication?
- yes
- id
- e3d5bf81-9691-47c0-8d2f-aed23e5a603f (old id 1547207)
- date added to LUP
- 2016-04-01 13:53:11
- date last changed
- 2022-03-29 17:55:19
@article{e3d5bf81-9691-47c0-8d2f-aed23e5a603f, abstract = {{Methods. Linear regression was used to relate log-measured GFR (mGFR) to sex, race, diabetes, transplant, weight, various transformations of creatinine and age with and without interactions. Equations were developed in a pooled database of 10 studies [2/3 (N = 5504) for development and 1/3 (N = 2750) for internal validation], and final model selection occurred in 16 additional studies [external validation (N = 3896)]. Results. The mean mGFR was 68, 67 and 68 ml/min/ 1.73 m(2) in the development, internal validation and external validation datasets, respectively. In external validation, an equation that included a linear age term and spline terms in creatinine to account for a reduction in the magnitude of the slope at low serum creatinine values exhibited the best performance (bias = 2.5, RMSE = 0.250) among models using the four basic predictor variables. Addition of terms for diabetes and transplant did not improve performance. Equations with weight showed a small improvement in the subgroup with BMI < 20 kg/m(2). Conclusions. The CKD-EPI equation, based on creatinine, age, sex and race, has been validated and is more accurate than the MDRD study equation. The addition of weight, diabetes and transplant does not significantly improve equation performance.}}, author = {{Stevens, Lesley A. and Schmid, Christopher H. and Zhang, Yaping L. and Coresh, Josef and Manzi, Jane and Landis, Richard and Bakoush, Omran and Contreras, Gabriel and Genuth, Saul and Klintmalm, Goran B. and Poggio, Emilio and Rossing, Peter and Rule, Andrew D. and Weir, Matthew R. and Kusek, John and Greene, Tom and Levey, Andrew S.}}, issn = {{1460-2385}}, keywords = {{rate; validation; glomerular filtration; estimating equation; creatinine; development}}, language = {{eng}}, number = {{2}}, pages = {{449--457}}, publisher = {{Oxford University Press}}, series = {{Nephrology Dialysis Transplantation}}, title = {{Development and validation of GFR-estimating equations using diabetes, transplant and weight}}, url = {{http://dx.doi.org/10.1093/ndt/gfp510}}, doi = {{10.1093/ndt/gfp510}}, volume = {{25}}, year = {{2010}}, }