Hamideh Khesali, Amir Ghaffari Jolfayi, Amirali Soheili, Parinaz Rezapour, Sara Adimi, Toktam Alirezaei
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引用次数: 0
Abstract
Introduction: Decreased left atrial appendage emptying velocity (LAAV) is a marker for thrombus formation. This study evaluates the association between LAAV and inflammatory indices in non-valvular atrial fibrillation (AF) patients.
Methods: The study population was 1428 patients with AF, 875 of whom enrolled. Based on the LAAV, patients were divided into three groups of 262 patients with a velocity of <25 cm/s, 360 patients with a velocity of 25 to 55 cm/s, and 253 patients with a velocity of >55 cm/s to assess and compare in terms of inflammatory indices, including the platelet-to-lymphocyte ratio, neutrophil-to-lymphocyte ratio, systemic immune inflammation index, neutrophil - to - platelet ratio and white blood cell-to-platelet ratio (WPR).
Results: There was no statistical difference in the level of inflammatory indices between the three groups, and none of them were related to LAAV (p > .05) except WPR with a weak negative correlation (p = 0.01, r = -0.10). Patients with lower LAAV were found to have a higher age (p = 0.001), decreased left ventricular ejection fraction (p = 0.001) and greater left atrial volume index (p = 0.001).
Conclusion: This study did not show any association between inflammatory indices and LAAV in non-valvular AF patients except for the WPR.
期刊介绍:
Research advances have contributed to improved outcomes across all specialties, but the rate of advancement in cardiology has been exceptional. Concurrently, the population of patients with cardiac conditions continues to grow and greater public awareness has increased patients" expectations of new drugs and devices. Future Cardiology (ISSN 1479-6678) reflects this new era of cardiology and highlights the new molecular approach to advancing cardiovascular therapy. Coverage will also reflect the major technological advances in bioengineering in cardiology in terms of advanced and robust devices, miniaturization, imaging, system modeling and information management issues.