Background <p>Limited studies are available to assess transition effect in eGFR using the CKD-EPI (Scr) 2021 among Indians with type 2 diabetes (T2DM) using KDIGO.</p> Objective <p>The aim was to compare eGFR using CKD-EPI 2009 (Scr) versus 2021, assess changes in eGFR, reclassification across KDIGO categories and agreement between the two equations.</p> &#xa0;Methods <p>A total of 2059 participants were screened from April-June 2024 for this cross sectional study. Demographic, anthropometric, clinical and biochemical details were recorded. eGFR was calculated for the participants using both the equations and were classified based on KDIGO.</p> Results <p>Overall median eGFR was higher with CKD-EPI (Scr) 2021 versus 2009 ( 73 vs 69;&#xa0;<i>p</i> &lt; 0.001). Median eGFR deviation was 4&#xa0;ml/min/1.73 m<sup>2</sup> among those aged above 45&#xa0;years. Highest difference in median eGFR was seen in moderately increased risk category [CKD-EPI 2021 vs 2009] (71 vs 66; <i>p</i> &lt; 0.001) followed by low risk (79 vs 76;&#xa0;<i>p</i>&#xa0;&lt; 0.001) and high risk categories (59 vs 57;p = 0.098). CKD-EPI 2021 classified 85.9% of the participants accurately, in 14.1% of them kidney function was overestimated (kappa ĸ = 0.76). Around 28% of participants, whose eGFR was less than 60&#xa0;ml/min/1.73m<sup>2</sup> reclassified to an improved GFR category when the new equation was employed.</p> Conclusion <p>The new race-free CKD-EPI (Scr) 2021 equation provided higher eGFR values than 2009 equation. One in every seven person has the possibility of being classified to higher eGFR category based on KDIGO and this reclassification may have implications on early referral and management among people with T2DM and CKD.</p>

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Comparison of estimated Glomerular Filtration Rate using the CKD-EPI (Scr) 2009 and CKD-EPI (Scr) 2021 (race-free) equations among people with type 2 diabetes in a tertiary care setting in India

  • Sivashankari Selva Elavarasan,
  • Satyavani Kumpatla,
  • Vijay Viswanathan

摘要

Background

Limited studies are available to assess transition effect in eGFR using the CKD-EPI (Scr) 2021 among Indians with type 2 diabetes (T2DM) using KDIGO.

Objective

The aim was to compare eGFR using CKD-EPI 2009 (Scr) versus 2021, assess changes in eGFR, reclassification across KDIGO categories and agreement between the two equations.

 Methods

A total of 2059 participants were screened from April-June 2024 for this cross sectional study. Demographic, anthropometric, clinical and biochemical details were recorded. eGFR was calculated for the participants using both the equations and were classified based on KDIGO.

Results

Overall median eGFR was higher with CKD-EPI (Scr) 2021 versus 2009 ( 73 vs 69; p < 0.001). Median eGFR deviation was 4 ml/min/1.73 m2 among those aged above 45 years. Highest difference in median eGFR was seen in moderately increased risk category [CKD-EPI 2021 vs 2009] (71 vs 66; p < 0.001) followed by low risk (79 vs 76; p < 0.001) and high risk categories (59 vs 57;p = 0.098). CKD-EPI 2021 classified 85.9% of the participants accurately, in 14.1% of them kidney function was overestimated (kappa ĸ = 0.76). Around 28% of participants, whose eGFR was less than 60 ml/min/1.73m2 reclassified to an improved GFR category when the new equation was employed.

Conclusion

The new race-free CKD-EPI (Scr) 2021 equation provided higher eGFR values than 2009 equation. One in every seven person has the possibility of being classified to higher eGFR category based on KDIGO and this reclassification may have implications on early referral and management among people with T2DM and CKD.