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Serum uric acid to HDL-cholesterol ratio could be promising predictor of atrioventricular nodal reentrant tachycardia.

Authors :
Donmez, Ibrahim
Cosgun, Mehmet
Bayraktar, Muhammed Fatih
Korkmaz, Ufuk Turan Kursat
Demirel, Mustafa Enes
Acar, Emrah
Gunes, Yilmaz
Source :
Annals of Medical of Research. Sep2023, Vol. 30 Issue 9, p1041-1045. 5p.
Publication Year :
2023

Abstract

Aim: Paroxysmal supraventricular tachycardia (PSVT), particularly atrioventricular nodal reentrant tachycardia (AVNRT), is a common arrhythmia with no associated structural heart disease. Inflammation has been implicated in the pathogenesis of arrhythmias. Uric acid to high density lipoprotein (HDL)-cholesterol ratio (UHR) is a novel inflammation marker that has been investigated in various conditions. This study aimed to explore the potential association between UHR and AVNRT. Materials and Methods: A total of 136 patients were included in the study, including 86 patients with AVNRT and 50 controls with normal electrophysiological study. All patients' medical records were reviewed, and data were obtained retrospectively. We recorded baseline features, hematologic and biochemical markers, and determined the UHR value. Results: UHR (p=0.031) and uric acid (p<0.001) levels were significantly higher, while HDL cholesterol (p=0.031) levels were significantly lower in the AVNRT group. Neutrophil leukocyte ratio (NLR) was also higher in the AVNRT group (p=0.034). However, in multivariate analysis, only UHR emerged as an independent predictor for AVNRT (OR: 1.088; 95%CI: 1.022 - 1.159; p=0.008). ROC curve analysis suggested a UHR cut-off > 14.05 for predicting AVNRT with 56% sensitivity and 76% specificity. Conclusion: This study identifies UHR as a promising predictor for AVNRT, shedding light on the potential role of inflammation in the arrhythmia's development. Utilizing UHR as a readily accessible marker in the evaluation of AVNRT patients may have clinical implications. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
26367688
Volume :
30
Issue :
9
Database :
Academic Search Index
Journal :
Annals of Medical of Research
Publication Type :
Academic Journal
Accession number :
172937692
Full Text :
https://doi.org/10.5455/annalsmedres.2023.07.166