Prognostic value of glomerular filtration rate estimation equations in acute heart failure with preserved versus reduced ejection fraction

Casado, Jesús; Carrasco-Sánchez, Francisco Javier; Pérez-Calvo, Juan Ignacio; Manzano, Luís; Formiga, Francesç; Bodas, Óscar Aramburu; Conde, Alicia; Quirós, Raúl Guzmán; Bocanegra, Carmen Pérez; Montero-Pérez-Barquero, Manuel

doi:10.1111/ijcp.12616

Cited by 12 publications

(2 citation statements)

References 27 publications

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“…The poor performance of MDRD-4 in predicting adverse events in HF patients was already established in the literature [19], although better results were demonstrated in postcardiac transplantation recipients [20] or patients with diabetes [21]. CKD-EPI provided better risk stratification than MDRD-4 in patients with HF after acute decompensation, although the AUC of the ROC curve did not overcome 0.64 in a study by Casado Cerrada et al [16]. Further studies revealed the better prognostic value of CKD-EPI as compared to MDRD when evaluating the impact of GFR on the overall survival rate of patients with HF [15,[22][23][24].…”

Section: Discussionmentioning

confidence: 98%

“…McAlister et al [15] compared MDRD and CKD-EPI as predictors of mortality in HF patients, finding that CKD-EPI seemed more reliable than MDRD in predicting all-cause mortality at 3-year follow-up. Casado Cerrada et al [16] demonstrated that CKD-EPI was able to better re-classify patients with AHF (net reclassification improvement [NRI]: 6.78%).…”

Section: Introductionmentioning

confidence: 99%

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The Prognostic Impact of Estimated Creatinine Clearance by Bioelectrical Impedance Analysis in Heart Failure: Comparison of Different eGFR Formulas

Scicchitano¹,

Iacoviello

Passantino

et al. 2021

Biomedicines

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The estimation of glomerular filtration rate (eGFR) provides prognostic information in patients with heart failure (HF). Bioelectrical impedance analysis may calculate eGFR (Donadio formula). The aim of this study was to evaluate the impact of the Donadio formula in predicting all-cause mortality in patients with HF as compared to Cockroft-Gault, MDRD-4 (Modification of Diet in renal Disease Study), and Chronic Kidney Disease Epidemiology Collaboration (CKD-EPI) formulas. Four-hundred thirty-six subjects with HF (52% men; mean age 75 ± 11 years; 42% acute HF) were enrolled. Ninety-two patients (21%) died during the follow-up (median 463 days, IQR 287–669). The area under the receiver operator characteristic curve for eGFR, as estimated by Cockroft-Gault formula (AUC = 0.75), was significantly higher than those derived from Donadio (AUC = 0.72), MDRD-4 (AUC = 0.68), and CKD-EPI (AUC = 0.71) formulas. At multivariate analysis, all eGFR formulas were independent predictors of death; 1 mL/min/1.73 m2 increase in eGFR—as measured by Cockroft-Gault, Donadio, MDRD-4, and CKD-EPI formulas—provided a 2.6%, 1.5%, 1.2%, and 1.6% increase, respectively, in mortality rate. Conclusions. eGFR, as calculated with the Donadio formula, was an independent predictor of mortality in patients with HF as well as the measurements derived from MDRD4 and CKD-EPI formulas, but less accurate than Cockroft-Gault.

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Section: Discussionmentioning

confidence: 98%

Section: Introductionmentioning

confidence: 99%

The Prognostic Impact of Estimated Creatinine Clearance by Bioelectrical Impedance Analysis in Heart Failure: Comparison of Different eGFR Formulas

Scicchitano¹,

Iacoviello

Passantino

et al. 2021

Biomedicines

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Urine proteome analysis in heart failure with reduced ejection fraction complicated by chronic kidney disease: feasibility, and clinical and pathogenetic correlates

Farmakis

Koeck

Mullen

et al. 2016

European J of Heart Fail

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Aims Urine proteome analysis (UPA) has already provided accurate discriminatory patterns of urinary peptides for renal disease, coronary artery disease, and asymptomatic LV diastolic dysfunction. UPA has now been used to characterize a discriminatory peptide biomarker pattern and establish a diagnostic classifier for heart failure patients with reduced ejection fraction (HFrEF) in the presence of chronic kidney disease (CKD). Methods and results We analysed the urine proteome profiles obtained by capillary electrophoresis online coupled to micro‐TOF (time of flight) mass spectrometry of 126 individuals, 59 HFrEF patients and 67 controls matched for age, sex, and renal function. In total, 107 significant discriminatory peptides were identified and used to establish a support vector machine‐based classifier that was successfully applied to a test set of 25 HFrEF patients and 33 controls, achieving 84% sensitivity and 91% specificity. The majority of sequenced peptides were fragments of collagen type I and III. Conclusion UPA was able to identify a set of HFrEF‐specific urinary peptide biomarkers on a background of CKD that were successfully utilized to establish a syndrome's classifier.

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Clinical Implications of Estimating Glomerular Filtration Rate with Different Equations in Heart Failure Patients with Preserved Ejection Fraction

Zhang,

Liang,

et al. 2024

High Blood Press Cardiovasc Prev

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Prognostic value of glomerular filtration rate estimation equations in acute heart failure with preserved versus reduced ejection fraction

Cited by 12 publications

References 27 publications

The Prognostic Impact of Estimated Creatinine Clearance by Bioelectrical Impedance Analysis in Heart Failure: Comparison of Different eGFR Formulas

The Prognostic Impact of Estimated Creatinine Clearance by Bioelectrical Impedance Analysis in Heart Failure: Comparison of Different eGFR Formulas

Urine proteome analysis in heart failure with reduced ejection fraction complicated by chronic kidney disease: feasibility, and clinical and pathogenetic correlates

Clinical Implications of Estimating Glomerular Filtration Rate with Different Equations in Heart Failure Patients with Preserved Ejection Fraction

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