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Estimating Bilateral Atrial Function by Cardiovascular Magnetic Resonance Feature Tracking in Patients with Paroxysmal Atrial Fibrillation
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Atrial cardiomyopathy and incident ischemic stroke risk: a systematic review and meta-analysis

Jiahuan Guo1, Dandan Wang1, Jiaokun Jia1

  • 1Department of Neurology, Beijing Tiantan Hospital, Capital Medical University, Fanyang Street 119, Beijing, 100070, China.

Journal of Neurology
|April 4, 2023
PubMed

Insights

Atrial cardiomyopathy markers like P-terminal force in V1, P-wave area, left atrial diameter, and NT-proBNP can predict ischemic stroke risk. These markers aid in stratifying stroke risk for better patient management.

Area of Science:

  • Cardiology
  • Neurology
  • Biomarker Research

Background:

  • Atrial cardiomyopathy is increasingly recognized for its role in thrombosis and ischemic stroke.
  • Quantifying atrial cardiomyopathy markers is crucial for predicting ischemic stroke risk.

Approach:

  • Systematic review and meta-analysis of 25 longitudinal cohort studies.
  • Involved 262,504 individuals, analyzing electrocardiographic, structural, functional, and serum biomarkers.
  • Searched PubMed, Embase, and Cochrane Library for relevant studies.

Key Points:

  • P-terminal force in V1 (PTFV1), P-wave area, and left atrial (LA) diameter are independent predictors of ischemic stroke.
  • LA reservoir strain and N-terminal pro-brain natriuretic peptide (NT-proBNP) also show significant associations with stroke risk.
  • Various markers, including PTFV1 (HR 1.29), max P-wave area (HR 1.14), LA diameter (HR 1.39), LA reservoir strain (HR 0.88), and NT-proBNP (HR 2.37), demonstrated predictive value.

Conclusions:

  • Electrocardiographic, serum, and LA structural/functional markers of atrial cardiomyopathy are valuable for risk stratification.
  • These markers can identify individuals at higher risk of incident ischemic stroke.
  • Utilizing these biomarkers can improve the prediction and management of ischemic stroke.
Abstract

Keywords:
Atrial cardiomyopathyIschemic strokeMarkersMeta-analysis

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