Preadmission CHA2DS2-VASc Scores on Diastolic Function and Functional Outcome After Stroke with Nonvalvular Atrial

Jae-Sung Choi1, Jong-Ho Park2

  • 1Department of Thoracic and Cardiovascular Surgery, SMG-SNU Boramae Medical Center, Seoul National University College of Medicine, Seoul 07061, Republic of Korea.

PubMed

Insights

Higher CHA2DS2-VASc scores in atrial fibrillation (AF) stroke patients predict worse functional outcomes and are linked to left ventricular diastolic dysfunction (LVDD) severity. The CHA2DS2-VASc score effectively predicts these outcomes.

Area of Science:

  • Cardiology
  • Neurology
  • Geriatrics

Background:

  • Atrial fibrillation (AF) significantly increases stroke risk and mortality.
  • Left ventricular diastolic dysfunction (LVDD) is common in the elderly and associated with AF.
  • Understanding risk factors for stroke outcomes in AF patients is crucial.

Purpose of the Study:

  • To investigate the relationship between preadmission CHA2DS2-VASc scores and LVDD severity in acute ischemic stroke patients with AF.
  • To determine if CHA2DS2-VASc scores predict short-term functional outcomes in this patient population.

Main Methods:

  • Retrospective cross-sectional analysis of 256 acute ischemic stroke patients with AF.
  • Assessment of CHA2DS2-VASc scores and LVDD severity.
  • Functional outcome measured by modified Rankin Scale (mRS) at 3 months.

Main Results:

  • Higher CHA2DS2-VASc scores were significantly associated with increased LVDD severity.
  • Increasing CHA2DS2-VASc scores predicted unfavorable functional outcomes (mRS ≥ 3).
  • The CHA2DS2-VASc score demonstrated good predictive ability for both LVDD and functional outcomes.

Conclusions:

  • The preadmission CHA2DS2-VASc score is a valuable predictor of short-term functional outcomes in nonvalvular AF stroke patients.
  • CHA2DS2-VASc score severity is a stronger determinant of functional outcome than LVDD severity.
  • Risk stratification using CHA2DS2-VASc scores can aid in managing AF-related stroke patients.

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