AI Article Synopsis
- The study investigates the relationship between ST-segment elevation resolution and high-frequency QRS (HF-QRS) components during thrombolytic therapy in myocardial infarction patients.
- Three out of twelve patients showed simultaneous resolution of ST elevation and increased HF-QRS after one hour of therapy, indicating potential early correlation.
- However, as time progressed (2 to 4 hours), the results between standard and high-frequency ECGs became less aligned, suggesting they may provide distinct clinical insights in later stages.
Article Abstract
Background: Resolution of ST-segment elevation in the electrocardiogram (ECG) is used as a reperfusion sign during thrombolytic therapy in acute myocardial infarction. Analysis of high-frequency QRS components (HF-QRS) might provide additional information. The study compares changes in HF-QRS (150-250 Hz) to ST-segment changes in the standard ECG during thrombolytic therapy.
Methods: Twelve patients receiving intravenous thrombolytic therapy were included. A continuous 12-lead ECG recording was acquired for 4 hours.
Results: After 1 hour of therapy, 3 patients showed ST-elevation resolution as well as an increase in HF-QRS. These changes in ST and HF-QRS occurred simultaneously. No other patient showed significant changes in ST or HF-QRS after 1 hour. After 2 and 4 hours, there was less concordance between the standard and high-frequency ECGs.
Conclusions: In patients with early ST-elevation resolution, the standard and high-frequency ECGs show similar results. Later changes are more disparate and may provide different clinical information.
Download full-text PDF |
Source |
|---|---|
| http://dx.doi.org/10.1016/j.jelectrocard.2010.04.006 | DOI Listing |
Publication Analysis
Top Keywords
Similar Publications
Predicting angiographic coronary artery disease using machine learning and high-frequency QRS.
BMC Med Inform Decis Mak
July 2024
Department of Cardiovascular Disease, The First Affiliated Hospital of Bengbu Medical University, Bengbu, Anhui Province, 233099, China.
Aim: Exercise stress ECG is a common diagnostic test for stable coronary artery disease, but its sensitivity and specificity need to be further improved. In this paper, we construct a machine learning model for the prediction of angiographic coronary artery disease by HFQRS analysis of cycling exercise ECG.
Methods And Results: This study prospectively included 140 inpatients and 59 healthy volunteers undergoing cycling exercise ECG.
Revisiting the diagnostic and prognostic significance of high-frequency QRS analysis in cardiovascular diseases: a comprehensive review.
Postgrad Med J
October 2024
Department of Cardiology, Southern Medical University, Nanfang Hospital, Guangzhou 510515, China.
Cardiovascular diseases (CVDs) present a significant global public health threat, contributing to a substantial number of cases involving morbidity and mortality. Therefore, the early and accurate detection of CVDs plays an indispensable role in enhancing patient outcomes. Decades of extensive research on electrocardiography at high frequencies have yielded a wealth of knowledge regarding alterations in the QRS complex during myocardial ischemia, as well as the methodologies to assess and quantify these changes.
View Article and Find Full Text PDFEffect of acute myocardial ischemia on different high-frequency bandwidths and temporal regions of the QRS.
Annu Int Conf IEEE Eng Med Biol Soc
August 2012
Department ESAII, EUETIB, Universitat Politècnica de Catalunya, and CIBER de Bioingeniería, Biomateriales y Nanomedicina, 08028 Barcelona, Spain.
The purpose of this study was to describe the changes in high-frequency QRS (HF-QRS) components due to myocardial ischemia provoked by prolonged artery occlusion during percutaneous coronary interventions (PCI). Signal-averaged ECGs from 69 patients were obtained during PCI procedures and comparison of high-frequency components of the QRS at different temporal regions and frequency bandwidth were performed. Continuous wavelet transform was applied to estimate the energy contents over the studied time-frequency regions.
View Article and Find Full Text PDFHigh-frequency electrocardiogram as a supplement to standard 12-lead ischemia monitoring during reperfusion therapy of acute inferior myocardial infarction.
J Electrocardiol
April 2011
Department of Clinical Physiology, Lund University, Lund, Sweden.
Article Synopsis
- The study investigates the relationship between ST-segment elevation resolution and high-frequency QRS (HF-QRS) components during thrombolytic therapy in myocardial infarction patients.
- Three out of twelve patients showed simultaneous resolution of ST elevation and increased HF-QRS after one hour of therapy, indicating potential early correlation.
- However, as time progressed (2 to 4 hours), the results between standard and high-frequency ECGs became less aligned, suggesting they may provide distinct clinical insights in later stages.
Characteristics of heart failure patients associated with good and poor response to cardiac resynchronization therapy: a PROSPECT (Predictors of Response to CRT) sub-analysis.
Eur Heart J
October 2009
Leiden University Medical Center, Albinusdreef 2, 2333 ZA, Leiden, The Netherlands.
Aims: Predictors of Response to Cardiac Resynchronization Therapy (CRT) (PROSPECT) was the first large-scale, multicentre clinical trial that evaluated the ability of several echocardiographic measures of mechanical dyssynchrony to predict response to CRT. Since response to CRT may be defined as a spectrum and likely influenced by many factors, this sub-analysis aimed to investigate the relationship between baseline characteristics and measures of response to CRT.
Methods And Results: A total of 286 patients were grouped according to relative reduction in left ventricular end-systolic volume (LVESV) after 6 months of CRT: super-responders (reduction in LVESV > or =30%), responders (reduction in LVESV 15-29%), non-responders (reduction in LVESV 0-14%), and negative responders (increase in LVESV).
Want AI Summaries of new PubMed Abstracts delivered to your In-box?
Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!