Potenciais tardios ao eletrocardiograma de alta resolução no domínio do tempo em portadores de insuficiência cardíaca de diferentes etiologias

Grell, Ernani de Sousa; Paula, Rogério Silva de; Tobias, Nancy Maria Martins de Oliveira; Moffa, Paulo Jorge; Grupi, César José; Mansur, A. J.

doi:10.1590/s0066-782x2006001600003

Cited by 2 publications

(2 citation statements)

References 20 publications

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“…VLPs hold implications for predicting sudden cardiac death and lethal arrhythmias, particularly in the context of organic heart diseases [12][13][14][15]. The combined assessment of VLPs with T-wave alternans (TWA) and heart rate variability (HRV) provides a more comprehensive evaluation [15][16][17][18].…”

Section: Introductionmentioning

confidence: 99%

Harmony in Chaos: Deciphering the Influence of Ischemic Cardiomyopathy and Non-Cardiac Comorbidities on Holter ECG Parameters in Chronic Heart Failure Patients: A Pilot Study

Duca,

Badescu,

Costache

et al. 2024

Medicina

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Background and Objective: In the landscape of heart failure, non-cardiac comorbidities represent a formidable challenge, imparting adverse prognostic implications. Holter ECG monitoring assumes a supplementary role in delineating myocardial susceptibility and autonomic nervous system dynamics. This study aims to explore the potential correlation between Holter ECG parameters and comorbidities in individuals with ischemic cardiomyopathy experiencing heart failure (HF), with a particular focus on the primary utility of these parameters as prognostic indicators. Materials and Methods: In this prospective inquiry, a cohort of 60 individuals diagnosed with heart failure underwent stratification into subgroups based on the presence of comorbidities, including diabetes, chronic kidney disease, obesity, or hyperuricemia. Upon admission, a thorough evaluation of all participants encompassed echocardiography, laboratory panel analysis, and 24 h Holter monitoring. Results: Significant associations were uncovered between diabetes and unconventional physiological indicators, specifically the Triangular index (p = 0.035) and deceleration capacity (p = 0.002). Pertaining to creatinine clearance, notable correlations surfaced with RMSSD (p = 0.026), PNN50 (p = 0.013), and high-frequency power (p = 0.026). An examination of uric acid levels and distinctive Holter ECG patterns unveiled statistical significance, particularly regarding the deceleration capacity (p = 0.045). Nevertheless, in the evaluation of the Body Mass Index, no statistically significant findings emerged concerning Holter ECG parameters. Conclusions: The identified statistical correlations between non-cardiac comorbidities and patterns elucidated in Holter ECG recordings underscore the heightened diagnostic utility of this investigative modality in the comprehensive evaluation of individuals grappling with HF. Furthermore, we underscore the critical importance of the thorough analysis of Holter ECG recordings, particularly with regard to subtle and emerging parameters that may be overlooked or insufficiently acknowledged.

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Section: Introductionmentioning

confidence: 99%

Harmony in Chaos: Deciphering the Influence of Ischemic Cardiomyopathy and Non-Cardiac Comorbidities on Holter ECG Parameters in Chronic Heart Failure Patients: A Pilot Study

Duca,

Badescu,

Costache

et al. 2024

Medicina

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“…Following the initial scientific interest generated by the method, expectations diminished over time due to significant variability in its predictive accuracy among different studies. However, during the past few years, its predictive value has been re-evaluated either alone or in conjunction with other stratification methods in several cardiac abnormalities (Lacroix et al, 1991;Madias, 2005;Grell et al, 2006;Benchimol-Barbosa, 2007;Ribeiro et al, 2008;Schoenenberger et al, 2008;Liew, 2010;Huebner et al, 2010;Marcus et al, 2010).…”

Section: Introductionmentioning

confidence: 99%

Unveiling the uncertainty principle in the QRS complex offset detection on high resolution electrocardiography

Nasario-Junior

Benchimol-Barbosa²,

Nadal³

2011

RBEB

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The accuracy of high resolution electrocardiographic (HRECG) methods for stratifying the risk of malignant ventricular arrhythmia depends on the fidelity of QRS fiducial points detection. This study aims at examining the effect of acquisition and processing variables in HRECG on the variability of QRS complex offset (QRS offset) detection in simulated and biological signals, as well as investigating the factors related to the so called uncertainty principle applied to HRECG. Successive QRS offset locations were calculated in different signals configurations including HRECG data from patients with and without ventricular late potentials and simulated data using linear and exponential functions. The expected error in QRS offset detection was assessed as a function of: i) signal characteristics (Simulated or Biological); ii) Sampling Frequency (SF); iii) Residual Noise Level (RNL); iv) QRS maximum amplitudes. The uncertainty principle was related to HRECG and a given exponential signals, and increasing RNL up to 0.5 µV. SF and RNL are outstanding factors influencing QRS offset variability. Thus, HRECG related uncertainty principle is a deterministic phenomenon associated with both HRECG signal and mathematical formulation of the terminal decay of the QRS complex to the fusion with the ST segment.Keywords High resolution electrocardiogram, Variability of QRS complex offset, Uncertainty principle. Desvendando o princípio da incerteza na detecção do final do complexo QRS na eletrocardiografia de alta resolução Resumo A precisão dos resultados dos exames de eletrocardiografia de alta resolução (ECGAR) para estratificação do desenvolvimento de arritmias ventriculares malignas depende da fidelidade na detecção dos pontos fiduciais do complexo QRS. O presente estudo tem o objetivo de avaliar o efeito das variáveis de aquisição e processamento do ECGAR sobre a variabilidade da detecção do ponto final do complexo QRS (QRS-fim

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Potenciais tardios ao eletrocardiograma de alta resolução no domínio do tempo em portadores de insuficiência cardíaca de diferentes etiologias

Cited by 2 publications

References 20 publications

Harmony in Chaos: Deciphering the Influence of Ischemic Cardiomyopathy and Non-Cardiac Comorbidities on Holter ECG Parameters in Chronic Heart Failure Patients: A Pilot Study

Harmony in Chaos: Deciphering the Influence of Ischemic Cardiomyopathy and Non-Cardiac Comorbidities on Holter ECG Parameters in Chronic Heart Failure Patients: A Pilot Study

Unveiling the uncertainty principle in the QRS complex offset detection on high resolution electrocardiography

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