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Estimating Bilateral Atrial Function by Cardiovascular Magnetic Resonance Feature Tracking in Patients with Paroxysmal Atrial Fibrillation
Published on: July 20, 2022
Inflammation Burden and Atrial Fibrillation Burden: A Bidirectional Relationship
Abdulrahman Naser1, Samet Sayilan2, Oya Güven3
1Kırklareli Training and Research Hospital - Department of Cardiology, Kırklareli - Turquia.
The systemic immune-inflammation index (SII) is linked to atrial fibrillation (AF) burden. Higher SII may indicate a greater likelihood of permanent AF, suggesting its potential role in risk stratification.
Area of Science:
- Cardiology
- Immunology
- Biomarkers
Background:
- Atrial fibrillation (AF) burden, the time spent in AF, varies by type (paroxysmal vs. permanent).
- Inflammation plays a role in AF development and maintenance.
- The association between the systemic immune-inflammation index (SII) and AF burden remains unclear.
Purpose of the Study:
- To investigate the relationship between the systemic immune-inflammation index (SII) and atrial fibrillation (AF) burden.
- To evaluate SII's predictive role in determining AF patterns.
Main Methods:
- Cross-sectional analysis of 453 AF patients (paroxysmal and permanent).
- SII calculated as (neutrophils × platelets/lymphocytes).
- Logistic regression used to assess the predictive value of SII and other inflammatory markers for AF patterns.
Main Results:
- Permanent AF patients exhibited higher levels of age, diastolic blood pressure, heart rate, diabetes mellitus, neutrophils, platelet-to-lymphocyte ratio, neutrophil-to-lymphocyte ratio, SII, C-reactive protein, red blood cell distribution width, hemoglobin A1c, and left atrial diameter.
- Logistic regression identified age, diabetes mellitus, red blood cell distribution width, C-reactive protein, SII, and left atrial diameter as significant predictors of permanent AF.
Conclusions:
- The systemic immune-inflammation index (SII) is independently associated with atrial fibrillation (AF) burden.
- Further prospective studies are warranted to explore SII's utility in identifying patients at high risk for AF progression.
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