ArticleClinical cardiology2016
Electrocardiographic Time to Intrinsicoid Deflection and Heart Failure: The Multi-Ethnic Study of Atherosclerosis.
Article in Clinical cardiology, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.
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Who cites it
11 citing papers in PubMed, 18 citations in OpenAlex.
- Large Language Model-informed ECG Dual Attention Network for Heart Failure Risk Prediction.IEEE transactions on big data · 2025Article
- Electrocardiographic and biochemical predictors of left ventricular remodeling early after ST-segment elevation myocardial infarction.Future cardiology · 2024Article
- Effect of Head-Up/-Down Tilt on ECG Segments and Myocardial Temporal Dispersion in Healthy Subjects.Biology · 2023Article
- Electrocardiographic and other Noninvasive Hemodynamic Markers in Decompensated CHF Patients.Journal of cardiovascular development and disease · 2023Article
- Delayed intrinsicoid deflection: Electrocardiographic harbinger of heart disease.Annals of noninvasive electrocardiology : the official journal of the International Society for Holter and Noninvasive Electrocardiology, Inc · 2022Review
- Electrocardiographic markers of cardiac resynchronization therapy response: delayed time to intrinsicoid deflection onset in lateral leads.Journal of geriatric cardiology : JGC · 2022Article
- Electrical surrogate for detection of severe left ventricular systolic dysfunction.Annals of noninvasive electrocardiology : the official journal of the International Society for Holter and Noninvasive Electrocardiology, Inc · 2018Article
- Effect of Coronary Slow Flow on Intrinsicoid Deflection of QRS Complex.Cardiology research and practice · 2018Article
- Electrocardiographic Predictors of Heart Failure With Reduced Versus Preserved Ejection Fraction: The Multi-Ethnic Study of Atherosclerosis.Journal of the American Heart Association · 2017Article
- Commentary on Electrocardiographic Time to Intrinsicoid Deflection and Heart Failure: the Multi-Ethnic Study of Atherosclerosis.Clinical cardiology · 2017Article
- Electrocardiographic Time to Intrinsicoid Deflection and Heart Failure: The Multi-Ethnic Study of Atherosclerosis.Clinical cardiology · 2016Article
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Authors and funding
7 authors at 6 institutions in 2 countries.
Funding
Abstract
backgroundTime to intrinsicoid deflection (ID), the time from onset of the QRS complex to the peak of the R wave on the electrocardiogram, represents delayed ventricular activation and suggests that impaired myocardial function is present. It is unknown whether delayed time to ID is predictive of future heart failure (HF) events. HYPOTHESIS: Delayed time to ID is predictive of future HF events.
methodsA total of 6394 participants (mean age, 62 ± 10 years; 54% women; 38% whites, 28% blacks, 22% Hispanics, 12% Chinese Americans) without clinically apparent cardiovascular disease or major ventricular conduction delay (QRS ≥120 ms) from the Multi-Ethnic Study of Atherosclerosis were included. Time to ID was automatically measured from baseline electrocardiograms (2000-2002) as the maximum value in leads V5 and V6 . Cox regression was used to compute hazard ratios (HRs) and 95% confidence intervals (CIs) for the association between time to ID and HF.
resultsOver a median follow-up of 11.2 years, a total of 217 (3.4%) participants developed HF (incidence rate per 1000 person-years: 3.33, 95% CI: 2.91-3.80). In a multivariable Cox regression analysis adjusted for demographics, cardiovascular risk factors, and potential confounders, each 10-ms increase in maximum time to ID was associated with an increased risk for HF (HR: 1.42, 95% CI: 1.15-1.74). The results remained similar when stratified by age, sex, and race/ethnicity.
conclusionsDelayed time to ID is able to identify individuals at risk for developing HF before major ventricular conduction delays (eg, bundle branch block) are evident.
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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.