Utility of Risk Scores for Predicting Stroke and Intracranial Bleeding Across Levels of Kidney Function in Two Large

Nisha Bansal1, Grace H Tabada2, Yuguang Kang3

  • 1Kidney Research Institute, Division of Nephrology, University of Washington, Seattle, Washington.

Insights

Clinical risk scores for stroke and bleeding in atrial fibrillation (AF) patients with chronic kidney disease (CKD) show modest performance, especially in advanced CKD. New, more accurate risk prediction models are needed for better clinical decision-making.

Area of Science:

  • Nephrology and Cardiology
  • Clinical Risk Prediction Modeling
  • Atrial Fibrillation Management

Background:

  • Established clinical risk prediction scores for ischemic stroke and bleeding have not been well validated in patients with chronic kidney disease (CKD) and atrial fibrillation (AF).
  • Kidney function significantly impacts cardiovascular risk, yet its influence on the performance of standard risk scores in AF patients is not fully understood.

Purpose of the Study:

  • To evaluate the performance of commonly used clinical risk prediction scores for ischemic stroke and intracranial bleeding in patients with AF across a wide spectrum of kidney function.
  • To assess how varying levels of estimated glomerular filtration rate (eGFR) affect the discrimination and calibration of these risk scores.

Main Methods:

  • Retrospective analysis of two large, community-based cohorts of adult patients with incident AF (Kaiser Permanente and Ontario, Canada).
  • Calculation of ischemic stroke risk scores (ATRIA, CHA₂DS₂-VASc, R₂CHADS₂) and a major bleeding risk score (HAS-BLED) stratified by eGFR categories (≥60, 45-59, 30-44, <30 mL/min/1.73 m²).
  • Evaluation of model performance using C-statistics for discrimination and calibration plots for accuracy within each eGFR stratum.

Main Results:

  • Mean stroke and bleeding risk scores were higher in patients with lower eGFR levels.
  • Discrimination (C-statistics) for all evaluated stroke risk scores (ATRIA, CHA₂DS₂-VASc, R₂CHADS₂) and the HAS-BLED bleeding score was significantly lower in patients with eGFR <60 mL/min/1.73 m² compared to those with eGFR ≥60 mL/min/1.73 m².
  • The R₂CHADS₂ score demonstrated the lowest discrimination for ischemic stroke (C-statistic 0.57 in eGFR <30 category), and HAS-BLED showed low discrimination for intracranial bleeding (range 0.51-0.56) in lower eGFR groups. Calibration varied across scores and eGFR levels.

Conclusions:

  • Current clinical risk prediction scores for stroke and bleeding exhibit modest performance in AF patients with CKD, particularly in those with advanced kidney disease.
  • The pathophysiological complexities associated with CKD limit the accuracy of existing risk scores developed for the general AF population.
  • There is a critical need for the development of novel, kidney-specific risk models to improve anticoagulation strategies and clinical decision-making in AF patients with CKD.
Abstract

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