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QT interval extracted from 30-minute short resting Holter ECG recordings predicts mortality in heart failure

Authors :
Petros Arsenos
Konstantinos A. Gatzoulis
Ageliki Laina
Ioannis Doundoulakis
Stergios Soulaidopoulos
Athanasios Kordalis
George Oikonomou
Konstantinos Triantafyllou
Nikolaos Fragakis
Vasillios Vasilikos
Konstantinos Tsioufis
Source :
Journal of Electrocardiology. 72:109-114
Publication Year :
2022
Publisher :
Elsevier BV, 2022.

Abstract

Prolonged repolarization duration is a significant total mortality (TM) predictor in post-myocardial infarction patients.We examined the clinical significance of QT interval that was extracted from a Short Resting Holter ECG (SRH ECG - 30-min duration) as a TM predictor in heart failure (HF) patients.One hundred forty-five HF patients (male = 84%, mean age = 64 ± 12 years, mean LVEF = 33 ± 10%) underwent an SRH ECG recording for 30 min. These high-resolution ECG signals were analyzed and the QT interval was calculated and corrected according to the Fridericia formula. After 42.1 months, 26 patients died.Univariate analysis for Deceased and Living groups: QTc:455 ± 33 ms vs 441 ± 32 ms (p = 0.04), LVEF:32 ± 10% vs 34 ± 9% (p0.5), Mean Heart Rate: 73 ± 11 bpm vs 69 ± 12 bpm (p = 0.2), SDNN/HRV: 45 ± 42 ms vs 41 ± 29 ms (p = 0.4), QRS: 123 ± 26 ms vs 119 ± 29 ms (p = 0.5). Multivariate Cox regression analysis with model adjusted for QTc, Mean Heart Rate, LVEF, QRS, revealed that QTc-Fridericia interval was an independent TM predictor (H.R.:1.017, 95% C.I.: 1.003-1.030, p = 0.01). The cut-off point of 490 ms (90th percentile) in the same model presented HR: 2.9 for TM (95%C.I.: 1.066-7.882, p = 0.03). Kaplan Meier curves depicted a clear difference in survival between the two patients' groups (QTc Groupā‰„490 ms vs QTc Group490 ms). The curve diverge was important (log-rank, p = 0.02).A fast risk stratification approach with SRH ECG recording is an efficient method for flash evaluation of mortality risk in HF patients.

Details

ISSN :
00220736
Volume :
72
Database :
OpenAIRE
Journal :
Journal of Electrocardiology
Accession number :
edsair.doi.dedup.....52537310ef0861adb7e224c1e9103f17
Full Text :
https://doi.org/10.1016/j.jelectrocard.2022.03.013