Chronic kidney disease classification according to different formulas and impact on adverse outcomes in patients with atrial fibrillation: A report from a prospective observational European registry

We included 8,506 patients. CKD-EPI demonstrated good to excellent concordance with other formulas, with the lowest concordance with CG (K = 0.607; 95% CI, 0.595-0.618) and the highest with MDRD (K = 0.880; 95% CI, 0.873-0.887). The risk of adverse outcomes increased sharply when renal function dropped below 60 ml/min across all formulas. CG-BSA and CG formulas showed the best discriminative ability for predicting composite outcomes (AUC 0.660, 95% CI 0.644-0.677, and 0.661, 95% CI 0.644-0.678, respectively). Based on integrated discrimination improvement (IDI) analysis, compared to the CKD-EPI equation, the CG and CG-BSA formulas showed significant improvements in sensitivity of 0.9% and 1.1%, respectively CONCLUSION: Equations for estimating renal function vary in concordance, with potential implications for drug prescription and predicting adverse events. CG and CG-BSA formulas showed superior performance in identifying patients at risk for adverse outcomes.

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Publication Details

Journal
European Journal of Internal Medicine
Published
2025-05-05
DOI
https://doi.org/10.1016/j.ejim.2025.04.038
Citations
8
Primary Topic
Atrial Fibrillation Management and Outcomes
Type
article
Field-Weighted Citation Impact
11.11

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article

Chronic kidney disease classification according to different formulas and impact on adverse outcomes in patients with atrial fibrillation: A report from a prospective observational European registry

Gheorghe‐Andrei Dan, Igor Diemberger, Marco Proietti, Niccolò Bonini et al.
8 citations
European Journal of Internal Medicine
Atrial Fibrillation Management and Outcomes
11.11
article

Chronic kidney disease classification according to different formulas and impact on adverse outcomes in patients with atrial fibrillation: A report from a prospective observational European registry

Gheorghe‐Andrei Dan, Igor Diemberger, Marco Proietti, Niccolò Bonini, Gregory Y.H. Lip, Marco Vitolo, Tatjana Potpara, Giulio Francesco Romiti, Bernadette Corica, Jacopo Francesco Imberti, Davide Antonio Mei, Giuseppe Boriani
article en
8 citations

Abstract

We included 8,506 patients. CKD-EPI demonstrated good to excellent concordance with other formulas, with the lowest concordance with CG (K = 0.607; 95% CI, 0.595-0.618) and the highest with MDRD (K = 0.880; 95% CI, 0.873-0.887). The risk of adverse outcomes increased sharply when renal function dropped below 60 ml/min across all formulas. CG-BSA and CG formulas showed the best discriminative ability for predicting composite outcomes (AUC 0.660, 95% CI 0.644-0.677, and 0.661, 95% CI 0.644-0.678, respectively). Based on integrated discrimination improvement (IDI) analysis, compared to the CKD-EPI equation, the CG and CG-BSA formulas showed significant improvements in sensitivity of 0.9% and 1.1%, respectively CONCLUSION: Equations for estimating renal function vary in concordance, with potential implications for drug prescription and predicting adverse events. CG and CG-BSA formulas showed superior performance in identifying patients at risk for adverse outcomes.

European Journal of Internal MedicineVol. 136
University of Modena and Reggio Emilia (IT), University of Liverpool (GB), Carol Davila University of Medicine and Pharmacy (RO), University of Belgrade (RS), Liverpool Heart and Chest Hospital (GB), Istituti Clinici Scientifici Maugeri (IT), IRCCS Azienda Ospedliero-Universitaria di Bologna Policlinico di Sant'Orsola (IT), Azienda Ospedaliero-Universitaria di Modena (IT), Centar za Promociju Nauke (RS), Liverpool John Moores University (GB), University of Bologna (IT)
European Commission, HORIZON EUROPE Framework Programme
Openalex Percentile: Top 1%
Atrial Fibrillation Management and Outcomes
11.11
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