ASN's Mission

To create a world without kidney diseases, the ASN Alliance for Kidney Health elevates care by educating and informing, driving breakthroughs and innovation, and advocating for policies that create transformative changes in kidney medicine throughout the world.

learn more

Contact ASN

1401 H St, NW, Ste 900, Washington, DC 20005

email@asn-online.org

202-640-4660

The Latest on X

Kidney Week

Abstract: FR-OR54

Performance of Creatinine and Cystatin Equations in People with Heart Failure

Session Information

Category: Hypertension and CVD

  • 1602 Hypertension and CVD: Clinical

Authors

  • Titan, Silvia, Mayo Clinic Minnesota, Rochester, Minnesota, United States
  • Herrmann, Sandra, Mayo Clinic Minnesota, Rochester, Minnesota, United States
  • Lieske, John C., Mayo Clinic Minnesota, Rochester, Minnesota, United States
  • Rule, Andrew D., Mayo Clinic Minnesota, Rochester, Minnesota, United States
Background

Performance of eGFRs among patients with heart failure (HF) may be worse than in the average population, with implications for clinical care.

Methods

We retrieved cases with mGFR (urinary iothalamate) performed at Mayo Clinic between 2011-23 that had an echocardiogram performed within 1 year and serum creatinine (Cr Cohort) or Cr and cystatin (CrCysC Cohort) available within 7 days of the mGFR. Patients were then classified based on ICD codes for HF present 1 year prior to the mGFR and ejection fraction (< or >=50%). CKD-EPI and EKFC eGFRcr, eGFRcys, and eGFRcrcys were computed. Bias was defined as mGFR minus eGFR, and P30 as the proportion of people with eGFR >=30% difference to mGFR.

Results

Results are shown in Table 1. eGFRcr was the most biased equation, prone to overestimation of mGFR in HF groups compared to NoHF. eGFRcr also had the worst precision in the HF groups, with larger errors in HFrEF. eGFRcrcys was the most accurate in NoHF and HFpEF, while eGFRcysC was the most accurate in HFrEF. The CKD-EPI and EKFC performed similarly.

Conclusion

In people with HF, eGFRcr tends to overestimate mGFR and has worse precision compared to people without HF. eGFRcrcys was the most accurate in NoHF and HFpEF, while eGFRcys was the most accurate in the HFrEF group.

 Cr CohortCrCys Cohort
 NoHF (n=13131)HFpEF (n=1517)HFrEF (n=1011)NoHF (n=1886)HFpEF (n=184)HFrEF (n=115)
Median Bias (CI)      
CKDEPIcr0.5 (0.2 , 0.8)-3.7 (-4.7 , -2.8)-4 (-5.1 , -3)0 (-0.6 , 0.9)-6 (-8.1 , -4.5)-8.1 (-11.4 , -4.4)
CKDEPIcys-
-
-
4.2 (3.3 , 5.3)4.7 (3.7 , 6.4)2.6 (-0.4 , 4.7)
CKDEPIcrcys-
-
-
1.1 (0.5 , 1.8)0.5 (-0.8 , 2.1)-1.5 (-3.4 , 1.1)
EKFCcr6 (5.6 , 6.3)0.7 (0 , 1.7)-0.5 (-1.6 , 0.4)5.1 (4.2 , 6)-2.2 (-3.9 , -0.4)-4 (-6.7 , -0.5)
EKFCcys-
-
-
3.3 (2.2 , 4.4)0.9 (-1.3 , 2.7)-0.9 (-3.4 , 0.7)
EKFCcrcys-
-
-
4.1 (3.3 , 4.7)-1.2 (-3.1 , -0.3)-4.1 (-7.9 , -0.7)
1 - P30 (CI)      
CKDEPIcr22.4 (21.7 , 23.1)30.5 (28.1 , 32.8)37.6 (34.4 , 40.4)22.5 (20.6 , 24.4)35.9 (28.8 , 42.4)60 (51.3 , 68.7)
CKDEPIcys-
-
-
24.7 (22.7 , 26.6)32.1 (25.3 , 38.6)27.8 (20.5 , 36.1)
CKDEPIcrcys-
-
-
15.5 (14.0 , 17.2)25.0 (19.0 , 31.0)33.9 (26.1 , 42.6)
EKFCcr23.3 (22.5 , 24)27.9 (25.4 , 30.2)35 (32.2 , 37.8)22.9 (21.0 , 24.6)34.2 (27.2 , 42.1)58.3 (49.6 , 67.8)
EKFCcys-
-
-
20.8 (18.7 , 22.6)31 (23.9 , 38)33 (23.5 , 40.9)
EKFCcrcys-
-
-
15.4 (13.7 , 17.1)27.2 (19.6 , 33.4)39.1 (28.7 , 47)
RMSE      
CKDEPIcr19.517.419.418.218.722.0
CKDEPIcys-
-
-
19.216.113.4
CKDEPIcrcys-
-
-
16.013.313.5
EKFCcr20.716.318.019.316.619.6
EKFCcys-
-
-
18.214.912.8
EKFCcrcys-
-
-
17.013.213.8
Bias was computed as mGFR - eGFR. Bias and RMSE are expressed as mL/min/1.73m2.