Literature DB >> 25200899

QT/RR and T-peak-to-end/RR curvatures and slopes in chronic heart failure: relation to sudden cardiac death.

Julia Ramírez1, Pablo Laguna2, Antonio Bayés de Luna3, Marek Malik4, Esther Pueyo2.   

Abstract

BACKGROUND: Previous studies investigated the QT/RR relationship by linear regressions of QT and RR intervals. However, the pattern of the QT/RR relationship is not necessarily linear. This study investigated the QT/RR and T-peak-to-end (Tpe)/RR curvatures and corresponding slopes in chronic heart failure (CHF) patients, and studied their differences between sudden cardiac death (SCD) victims and others.
METHODS: Holter ECG recordings of 650 CHF patients were analyzed. RR, QT and Tpe series were obtained and for each patient, the data of each subject were fitted with a non-linear regression function of the form: QT=χ+ϕ(1-RR(γ)), where γ is the QT/RR curvature. The same regression formula was applied to the Tpe interval series. The slopes (dimensionless units) were calculated at the averaged RR intervals and at RR of 1 second.
RESULTS: The median (difference between 75th and 25th percentile) of the curvature parameter was 0.226 (2.39) for QT/RR and -0.002 (3.64) for Tpe/RR in the overall sample. For the QT/RR slope, these values were 0.170 (0.12) and 0.190 (0.10) when evaluated at RR=1 and at the averaged RR, respectively, while for the Tpe/RR slope the values were 0.016 (0.04) and 0.020 (0.04), respectively. The Tpe/RR slope showed high statistical significance for separation of SCD victims and others, particularly when evaluated at the averaged RR (median values of 0.040 vs 0.020, p=0.002), but also when evaluated at RR=1 second (0.026 vs 0.015, p=0.023). Patients with values of Tpe/RR slope above 0.042 had double incidence of SCD, for the case of the slope being evaluated at RR=1 second, and triple incidence for the case of the slope being evaluated at the averaged RR. The QT/RR slope and curvature, as well as the Tpe/RR curvature, were not different in SCD victims and in others.
CONCLUSIONS: Non-linear regression models based on curvature and slope characteristics, individually obtained for each patient, were used to characterize the QT/RR and Tpe/RR relationships. Steeper Tpe/RR slopes, obtained after adjusting for the curvature parameter, were associated with higher incidence of SCD. The curvature parameter itself did not show SCD predictive value.
Copyright © 2014 Elsevier Inc. All rights reserved.

Entities:  

Keywords:  ECG; QT/RR; Regression curvature; SCD; Tpe/RR

Mesh:

Year:  2014        PMID: 25200899     DOI: 10.1016/j.jelectrocard.2014.08.013

Source DB:  PubMed          Journal:  J Electrocardiol        ISSN: 0022-0736            Impact factor:   1.438


  7 in total

Review 1.  Categorization and theoretical comparison of quantitative methods for assessing QT/RR hysteresis.

Authors:  Hugo Gravel; Daniel Curnier; Nagib Dahdah; Vincent Jacquemet
Journal:  Ann Noninvasive Electrocardiol       Date:  2017-05-16       Impact factor: 1.468

2.  Changes in left ventricular repolarization after short-term testosterone replacement therapy in hypogonadal males.

Authors:  G Piccirillo; F Moscucci; R Pofi; G D'Alessandro; M Minnetti; A M Isidori; D Francomano; A Lenzi; P E Puddu; J Alexandre; D Magrì; A Aversa
Journal:  J Endocrinol Invest       Date:  2019-03-05       Impact factor: 4.256

3.  Common Genetic Variants Modulate the Electrocardiographic Tpeak-to-Tend Interval.

Authors:  Julia Ramírez; Stefan van Duijvenboden; William J Young; Michele Orini; Pier D Lambiase; Patricia B Munroe; Andrew Tinker
Journal:  Am J Hum Genet       Date:  2020-05-07       Impact factor: 11.025

Review 4.  ArrhythmoGenoPharmacoTherapy.

Authors:  Arpad Tosaki
Journal:  Front Pharmacol       Date:  2020-05-12       Impact factor: 5.810

5.  Periodic repolarization dynamics as predictor of risk for sudden cardiac death in chronic heart failure patients.

Authors:  Esther Pueyo; Juan Pablo Martínez; Saúl Palacios; Iwona Cygankiewicz; Antoni Bayés de Luna
Journal:  Sci Rep       Date:  2021-10-15       Impact factor: 4.379

Review 6.  Analysing electrocardiographic traits and predicting cardiac risk in UK biobank.

Authors:  Julia Ramírez; Stefan van Duijvenboden; William J Young; Michele Orini; Aled R Jones; Pier D Lambiase; Patricia B Munroe; Andrew Tinker
Journal:  JRSM Cardiovasc Dis       Date:  2021-06-12

7.  Sudden cardiac death and pump failure death prediction in chronic heart failure by combining ECG and clinical markers in an integrated risk model.

Authors:  Julia Ramírez; Michele Orini; Ana Mincholé; Violeta Monasterio; Iwona Cygankiewicz; Antonio Bayés de Luna; Juan Pablo Martínez; Pablo Laguna; Esther Pueyo
Journal:  PLoS One       Date:  2017-10-11       Impact factor: 3.240

  7 in total

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