Asset Details
Do you wish to reserve the book?
Performance of 4 Creatinine-based Equations in Assessing Glomerular Filtration Rate in Adults with Diabetes
Hey, we have placed the reservation for you!
By the way, why not check out events that you can attend while you pick your title.
Oops! Something went wrong.
Looks like we were not able to place the reservation. Kindly try again later.
Are you sure you want to remove the book from the shelf?
Performance of 4 Creatinine-based Equations in Assessing Glomerular Filtration Rate in Adults with Diabetes
Do you wish to request the book?
Performance of 4 Creatinine-based Equations in Assessing Glomerular Filtration Rate in Adults with Diabetes
Please be aware that the book you have requested cannot be checked out. If you would like to checkout this book, you can reserve another copy
We have requested the book for you!
Your request is successful and it will be processed during the Library working hours. Please check the status of your request in My Requests.
Oops! Something went wrong.
Looks like we were not able to place your request. Kindly try again later.
Journal Article
Performance of 4 Creatinine-based Equations in Assessing Glomerular Filtration Rate in Adults with Diabetes
2021
Overview
Abstract
Aims
To evaluate diagnostic performance of glomerular filtration rate (GFR) estimated by modification of diet in renal disease (MDRD), chronic kidney disease epidemiology collaboration (CKD-EPI), full age spectrum (FAS), and revised Lund–Malmö (r-LM) equations in adults with diabetes.
Methods
Individuals were included in this cross-sectional study if they had at least 1 measurement of technetium-99m diethylenetriamine-pentaacetic acid (99mTc-DTPA) GFR (mGFR) and serum creatinine (1487 patients with 2703 measures). GFR calculated by estimation equations was compared with mGFR. Diagnostic performance was assessed using concordance correlation coefficient (CCC), bias, precision, accuracy, reduced major axis regression (RMAR), and Bland–Altman plot. Analysis was repeated in subgroups based on sex, diabetes type, Hemoglobin A1C, and GFR level.
Results
Of all patients, 1189 (86%) had type 2 diabetes. Mean mGFR, MDRD, CKD-EPI, FAS, and revised Lund-Malmö eGFR were 66, 72, 74, 71, and 67 mL/min/1.73m2, respectively. Overall, the r-LM had the highest CCC (0.83), lowest bias (–1.4 mL/min/1.73 m2), highest precision (16.2 mL/min/1.73 m2), and highest accuracy (P10 = 39%). The RMAR (slope, intercept) in r-LM, FAS, MDRD, and CKD-EPI was 1.18, –13.35; 0.97, –2.9; 1, -6.4, and 1.04, –11.3, respectively. The Bland–Altman plot showed that r-LM had the lowest mean difference and the narrowest 95% limit of agreement (–1.0, 54.1 mL/min/1.73 m2), while mean difference was more than 5-fold higher in FAS, MDRD, and CKD-EPI (–5.2, –6.3, and –8.2, respectively).
Conclusions
In adults with diabetes the revised Lund-Malmö performs better than MDRD, CKD-EPI, and FAS in calculating point estimates of GFR.
Publisher
Oxford University Press,Copyright Oxford University Press
Subject
