The Difference Between Cystatin C- and Creatinine-Based eGFR in Heart Failure With Reduced Ejection Fraction: Insights From PARADIGM-HF.

RATIONALE & OBJECTIVE The clinical implications of the discrepancy between cystatin C (cysC)- and serum creatinine (sCr)-estimated glomerular filtration rate (eGFR) in patients with heart failure and reduced ejection fraction (HFrEF) are unknown. STUDY DESIGN Post-hoc analysis of randomized trial data. SETTING & PARTICIPANTS 1,970 patients with HFrEF enrolled in PARADIGM-HF with available baseline cysC and sCr. EXPOSURE Intra-individual differences between eGFRcysC and eGFRsCr (eGFRdiffcysC-sCr). OUTCOMES Clinical outcomes included the PARADIGM-HF primary endpoint (composite of cardiovascular [CV] mortality or HF hospitalization), CV mortality, all-cause mortality, and worsening kidney function. We also examined poor health-related quality of life (HRQoL), frailty, and worsening HF (WHF), defined as HF hospitalization, emergency department visit, or outpatient intensification of therapy between baseline and 8-month follow-up. ANALYTICAL APPROACH Fine-Gray sub-distribution hazard models and Cox proportional hazard models regressed clinical outcomes on baseline eGFRdiffcysC-sCr. Logistic regression investigated the association of baseline eGFRdiffcysC-sCr with poor HRQoL and frailty. Linear regression models assessed the association of WHF with eGFRcysC, eGFRsCr, and eGFRdiffcysC-sCr at an 8-month follow-up. RESULTS Baseline eGFRdiffcysC-sCr was >+10 and <-10 ml/min/1.73 m2 in 13.0% and 35.7% of the patients, respectively. More negative values of eGFRdiffcysC-sCr were associated with worse outcomes ([sub]-hazard ratio per standard deviation [SD]: PARADIGM-HF primary endpoint: 1.18, p=0.008; CV mortality: 1.34, p=0.001; all-cause mortality 1.39, p<0.001; worsening kidney function: 1.31, p=0.05). For 1-SD decrease in eGFRdiffcysC-sCr, the prevalence of poor HRQoL and frailty increased by 29% and 17%, respectively (p ≤0.008). WHF was associated with a more pronounced decline in eGFRcysC than in eGFRsCr, resulting in a change in 8-month eGFRdiffcysC-sCr of -4.67 ml/min/1.73 m2 (p<0.001). LIMITATIONS Lack of gold-standard assessment of kidney function. CONCLUSIONS In patients with HFrEF, discrepancies between eGFRcysC and eGFRsCr are common and are associated with clinical outcomes, HRQoL, and frailty. The decline in kidney function associated with WHF is more marked when assessed with eGFRcysC than with eGFRsCr.

[1]  N. Bansal,et al.  Association of Intra-individual Differences in Estimated GFR by Creatinine Versus Cystatin C With Incident Heart Failure. , 2022, American journal of kidney diseases : the official journal of the National Kidney Foundation.

[2]  G. Sayer,et al.  The difference between cystatin C‐ and creatinine‐based assessment of kidney function in acute heart failure , 2022, ESC heart failure.

[3]  Ravi B. Patel,et al.  Tipping the scale toward a more accurate and equitable assessment of heart failure with reduced ejection fraction pharmacotherapy eligibility: a call to incorporate cystatin C in estimating glomerular filtration rate , 2022, European journal of heart failure.

[4]  M. Shlipak,et al.  Association of Intraindividual Difference in Estimated Glomerular Filtration Rate by Creatinine vs Cystatin C and End-stage Kidney Disease and Mortality , 2022, JAMA network open.

[5]  M. Khan,et al.  Potential Role and Limitations of Estimated Glomerular Filtration Rate Slope Assessment in Cardiovascular Trials: A Review. , 2022, JAMA cardiology.

[6]  S. Kritchevsky,et al.  Cystatin C- and Creatinine-Based Glomerular Filtration Rate Estimation Differences and Muscle Quantity and Functional Status in Older Adults: The Health, Aging, and Body Composition Study , 2022, Kidney Medicine.

[7]  N. Powe,et al.  New Creatinine- and Cystatin C-Based Equations to Estimate GFR without Race. , 2021, The New England journal of medicine.

[8]  N. Powe,et al.  A Unifying Approach for GFR Estimation: Recommendations of the NKF-ASN Task Force on Reassessing the Inclusion of Race in Diagnosing Kidney Disease. , 2021, American journal of kidney diseases : the official journal of the National Kidney Foundation.

[9]  J. Spertus,et al.  Interpreting the Kansas City Cardiomyopathy Questionnaire in Clinical Trials and Clinical Care: JACC State-of-the-Art Review. , 2020, Journal of the American College of Cardiology.

[10]  S. Liao,et al.  Cystatin C-based CKD-EPI estimated glomerular filtration rate equations as a better strategy for mortality stratification in acute heart failure , 2020, Medicine.

[11]  S. de Seigneux,et al.  Measured and Estimated Glomerular Filtration Rate in the ICU: A Prospective Study. , 2020, Critical care medicine.

[12]  M. Rocco,et al.  The Difference Between Cystatin C- and Creatinine-Based Estimated GFR and Associations With Frailty and Adverse Outcomes: A Cohort Analysis of the Systolic Blood Pressure Intervention Trial (SPRINT). , 2020, American journal of kidney diseases : the official journal of the National Kidney Foundation.

[13]  D. Siscovick,et al.  The Difference Between Cystatin C and Creatinine-Based Estimated GFR and Incident Frailty: An Analysis of the Cardiovascular Health Study (CHS). , 2020, American journal of kidney diseases : the official journal of the National Kidney Foundation.

[14]  Akshay S. Desai,et al.  The prevalence and importance of frailty in heart failure with reduced ejection fraction – an analysis of PARADIGM‐HF and ATMOSPHERE , 2020, European journal of heart failure.

[15]  A. Masoumi,et al.  Cystatin C- Versus Creatinine-Based Assessment of Renal Function and Prediction of Early Outcomes Among Patients With a Left Ventricular Assist Device , 2020, Circulation. Heart failure.

[16]  Wei Yang,et al.  Reconsidering the Consequences of Using Race to Estimate Kidney Function. , 2019, JAMA.

[17]  C. Kennedy,et al.  Validation of the sarcopenia index to assess muscle mass in the critically ill: A novel application of kidney function markers. , 2019, Clinical nutrition.

[18]  S. Anker,et al.  Comparison of sarcopenia and cachexia in men with chronic heart failure: results from the Studies Investigating Co‐morbidities Aggravating Heart Failure (SICA‐HF) , 2018, European journal of heart failure.

[19]  J. Cleland,et al.  Prevalence and Prognostic Significance of Malnutrition Using 3 Scoring Systems Among Outpatients With Heart Failure: A Comparison With Body Mass Index. , 2018, JACC. Heart failure.

[20]  H. Yoshikawa,et al.  Relationship between sarcopenia and the serum creatinine/cystatin C ratio in Japanese rural community‐dwelling older adults , 2018 .

[21]  M. Bell,et al.  Superiority of Serum Cystatin C Over Creatinine in Prediction of Long-Term Prognosis at Discharge From ICU , 2017, Critical care medicine.

[22]  S. Lemoine,et al.  Cystatin C Versus Creatinine for GFR Estimation in CKD Due to Heart Failure. , 2017, American journal of kidney diseases : the official journal of the National Kidney Foundation.

[23]  S. Solomon,et al.  Importance of Clinical Worsening of Heart Failure Treated in the Outpatient Setting: Evidence From the Prospective Comparison of ARNI With ACEI to Determine Impact on Global Mortality and Morbidity in Heart Failure Trial (PARADIGM-HF). , 2016, Circulation.

[24]  Akshay S. Desai,et al.  Angiotensin-neprilysin inhibition versus enalapril in heart failure. , 2014, The New England journal of medicine.

[25]  Josef Coresh,et al.  Cystatin C versus creatinine in determining risk based on kidney function. , 2013, The New England journal of medicine.

[26]  M. Shlipak,et al.  Update on cystatin C: incorporation into clinical practice. , 2013, American journal of kidney diseases : the official journal of the National Kidney Foundation.

[27]  S. Manzano-Fernández,et al.  Comparison of risk prediction with the CKD-EPI and MDRD equations in acute decompensated heart failure. , 2013, Journal of cardiac failure.

[28]  S. Hazen,et al.  Cystatin C Identifies Patients With Stable Chronic Heart Failure at Increased Risk for Adverse Cardiovascular Events , 2012, Circulation. Heart failure.

[29]  Harold I Feldman,et al.  Estimating glomerular filtration rate from serum creatinine and cystatin C. , 2012, The New England journal of medicine.

[30]  Tom Greene,et al.  Using Standardized Serum Creatinine Values in the Modification of Diet in Renal Disease Study Equation for Estimating Glomerular Filtration Rate , 2006, Annals of Internal Medicine.

[31]  Gabriel E. Soto,et al.  Prognostic Value of Health Status in Patients With Heart Failure After Acute Myocardial Infarction , 2004, Circulation.