Risk of Chronic Kidney Disease and Implications in Patients with Atrial Fibrillation for the Development of Major

Pedro Moltó-Balado1,2, Josep-Lluís Clua-Espuny3,4, Carlos Tarongi-Vidal5

  • 1CSI Llíria, Departament de Salut de Arnau de Vilanova, Conselleria de Sanitat, 46160 Valencia, Spain.

PubMed

Insights

Newly diagnosed atrial fibrillation (AF) significantly increases the risk of major adverse cardiovascular events (MACE). Kidney function measures like eGFR and albuminuria are crucial for risk stratification in AF patients.

Area of Science:

  • Cardiology
  • Nephrology
  • Epidemiology

Background:

  • Atrial fibrillation (AF) and chronic kidney disease (CKD) frequently coexist, potentially exacerbating cardiovascular risk.
  • The role of renal dysfunction in composite cardiovascular endpoints for AF patients requires clarification.

Purpose of the Study:

  • To quantify the risk of MACE associated with AF.
  • To assess the prognostic value of estimated glomerular filtration rate (eGFR) and albuminuria in AF patients.
  • To inform composite outcome definitions and clinical management strategies.

Main Methods:

  • Retrospective cohort study of 40,297 adults (65-95 years) with incident AF (n=2574) followed for 5 years.
  • Analysis of MACE and its components using Cox models, stratified by eGFR and urine albumin-to-creatinine ratio (UACR).
  • Exploratory machine learning model developed for MACE prediction in AF and CKD patients.

Main Results:

  • Incident AF was linked to a 3.52-fold increased risk of MACE and a 1.97-fold increased risk of CKD.
  • CKD prevalence was higher in AF patients (30.9%) vs. non-AF (14.5%).
  • A graded relationship between reduced eGFR/increased UACR and MACE risk was observed in AF patients.

Conclusions:

  • Newly diagnosed AF presents a significant excess risk for MACE and its components.
  • eGFR and albuminuria are consistent predictors of risk in AF, supporting their inclusion in composite outcomes.
  • Findings advocate for integrated cardiorenal management and refined risk stratification in AF care and research.
Abstract

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