We have located links that may give you full text access.
Comparative Study
Journal Article
Comparison of Two Creatinine Based Equations for Routine Estimation of GFR in a Speciality Clinic for Diabetes.
OBJECTIVE: To compare the bias, absolute bias, precision and accuracies between the equations, viz., CKD-EPI (Scr), CKD-EPI (Scys) and MDRD in Indian patients with type 2 diabetes.
METHODS: 198 patients who underwent 24 h urinary collection for assessing kidney function between November 2014-January 2015 were included. Cohen's κ coefficient, Bland-Altman plot were calculated between estimated kidney function equations, and bias, precision, accuracies was calculated between the formulae.
RESULTS: The mean eGFR based on MDRD, CKD-EPI (Scr) and CKD-EPI (Scys) equations were 64.5±21.9, 70.2±25.1 and 74.7±31.0 ml/min/ 1.73m2 respectively. The overall mean absolute bias was smallest for MDRD vs CKD EPI (Scr). The precision was also least for MDRD vs CKD EPI (Scr) indicating that the agreement between these equations is consistent for the range of values. MDRD vs CKD EPI (Scr) had the highest accuracy in comparison to other compared formula. The performance between MDRD versus CKD EPI (Scys) was different. There was a good agreement between MDRD and CKD EPI (Scr).in both stage 3 and stage 4 CKD. The MDRD vs CKD EPI (Scr) classified 72.2% of the patients correctly.
CONCLUSIONS: In conclusion, there was a good agreement between CKD-EPI (Scr) and MDRD equations. CKD-EPI equation based on creatinine estimation is widely accepted method and clinicians may use this equation in routine clinical practice to assess kidney function among patients with type 2 diabetes.
METHODS: 198 patients who underwent 24 h urinary collection for assessing kidney function between November 2014-January 2015 were included. Cohen's κ coefficient, Bland-Altman plot were calculated between estimated kidney function equations, and bias, precision, accuracies was calculated between the formulae.
RESULTS: The mean eGFR based on MDRD, CKD-EPI (Scr) and CKD-EPI (Scys) equations were 64.5±21.9, 70.2±25.1 and 74.7±31.0 ml/min/ 1.73m2 respectively. The overall mean absolute bias was smallest for MDRD vs CKD EPI (Scr). The precision was also least for MDRD vs CKD EPI (Scr) indicating that the agreement between these equations is consistent for the range of values. MDRD vs CKD EPI (Scr) had the highest accuracy in comparison to other compared formula. The performance between MDRD versus CKD EPI (Scys) was different. There was a good agreement between MDRD and CKD EPI (Scr).in both stage 3 and stage 4 CKD. The MDRD vs CKD EPI (Scr) classified 72.2% of the patients correctly.
CONCLUSIONS: In conclusion, there was a good agreement between CKD-EPI (Scr) and MDRD equations. CKD-EPI equation based on creatinine estimation is widely accepted method and clinicians may use this equation in routine clinical practice to assess kidney function among patients with type 2 diabetes.
Full text links
Related Resources
Get seemless 1-tap access through your institution/university
For the best experience, use the Read mobile app
All material on this website is protected by copyright, Copyright © 1994-2024 by WebMD LLC.
This website also contains material copyrighted by 3rd parties.
By using this service, you agree to our terms of use and privacy policy.
Your Privacy Choices
You can now claim free CME credits for this literature searchClaim now
Get seemless 1-tap access through your institution/university
For the best experience, use the Read mobile app