Evidence map›Paper›PMID 41389643›Full record

ArticleJournal of electrocardiology

Electrocardiographic criteria for silent myocardial infarction: Impact of different definitions on detection rates and prognostic significance in the atherosclerosis risk in communities (ARIC) study: A comparison with evolving bundle branch blocks.

R Brandon Stacey, Ronald J Prineas, Zhu-Ming Zhang, Bruce M Psaty, Wayne Rosamond, Lynne Wagenknecht, Elsayed Z Soliman

Abstract readComparative Study
In one paragraph

Article in Journal of electrocardiology. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

7 authors.

R Brandon StaceySection on Cardiovascular Medicine, Department of Medicine, Wake Forest School of Medicine, Winston-Salem, NC, United States of America. Electronic address: Richard.Stacey@wfusm.edu.
Ronald J PrineasDivision of Public Health, Wake Forest School of Medicine, Winston-Salem, NC, United States of America.
Zhu-Ming ZhangDivision of Public Health, Wake Forest School of Medicine, Winston-Salem, NC, United States of America.
Bruce M PsatySchool of Public Health, University of Washington; Seattle, WA, United States of America.
Wayne RosamondGillings School of Public Health, University of North Carolina; Chapel Hill, NC, United States of America.
Lynne WagenknechtDivision of Public Health, Wake Forest School of Medicine, Winston-Salem, NC, United States of America.
Elsayed Z SolimanSection on Cardiovascular Medicine, Department of Medicine, Wake Forest School of Medicine, Winston-Salem, NC, United States of America. Electronic address: esoliman@wakehealth.edu.

Funding

ARIC Neurocognitive Study (ARIC-NCS) Renewal 2023-2028U01HL096812 · NHLBI · NEW YORK UNIVERSITY SCHOOL OF MEDICINE · PI JOSEF CORESH, THOMAS H MOSLEY · 2010 to 2026
$65.7M
ARIC Neurocognitive Study (ARIC-NCS) Renewal 2 of 5U01HL096917 · NHLBI · UNIVERSITY OF MISSISSIPPI MED CTR · PI MOSLEY, THOMAS H · 2010 to 2018
$11.9M
ARIC Neurocognitive Study (ARIC-NCS) Renewal UNC 4 of 5U01HL096899 · NHLBI · UNIV OF NORTH CAROLINA CHAPEL HILL · PI COUPER, DAVID J · 2010 to 2018
$7.5M
ARIC Neurocognitive Study (ARIC-NCS)U01HL096902 · NHLBI · UNIVERSITY OF MINNESOTA · PI LUTSEY, PAMELA L. · 2010 to 2018
$7.4M
ARIC Neurocognitive Study (ARIC-NCS) Renewal 4 of 5U01HL096814 · NHLBI · WAKE FOREST UNIVERSITY HEALTH SCIENCES · PI HUGHES, TIMOTHY M., WAGENKNECHT, LYNNE E · 2010 to 2018
$6.5M
The ARIC and Neurocognitive Longitudinal StudyR01HL070825 · NHLBI · UNIVERSITY OF MISSISSIPPI MEDICAL CENTER · PI MOSLEY, THOMAS H · 2002 to 2004
$5.1M
Profiling Cardiovascular Events and Biomarkers in the Very Old to Improve Personalized Approaches for the Prevention of Cardiac and Vascular DiseaseR01HL134320 · NHLBI · BAYLOR COLLEGE OF MEDICINE · PI BALLANTYNE, CHRISTIE MITCHELL, SELVIN, ELIZABETH · 2016 to 2019
$3.1M
NHLBI NIH HHS HHSN268201700001CNHLBI NIH HHS HHSN268201700001INHLBI NIH HHS HHSN268201700002CNHLBI NIH HHS HHSN268201700002INHLBI NIH HHS HHSN268201700003CNHLBI NIH HHS HHSN268201700003INHLBI NIH HHS HHSN268201700004CNHLBI NIH HHS HHSN268201700004INHLBI NIH HHS HHSN268201700005CNHLBI NIH HHS HHSN268201700005INHLBI NIH HHS L30 HL090416NHLBI NIH HHS R01 HL070825NHLBI NIH HHS R01 HL134320NHLBI NIH HHS U01 HL096812NHLBI NIH HHS U01 HL096814NHLBI NIH HHS U01 HL096899NHLBI NIH HHS U01 HL096902NHLBI NIH HHS U01 HL096917
6 · The paper itself

Abstract

introductionIt is unclear how differences in the electrocardiographic (ECG) definition of myocardial infarction (MI) impact detection rates and prognostic significance of silent MI (SMI).

methodsThis analysis included 9188 participants (57.4 % women, 20 % black, age 62.6 ± 6.0 years) enrolled in the Atherosclerosis Risk in Communities study who had serial ECGs obtained between visit 1 (1987-1989) and visit 4 (1996-1998). Exclusions included known cardiovascular disease (CVD) prior to visit 1, ECG findings of MI or bundle branch block (BBB) at visit 1, or an adjudicated fatal and non-fatal MI events between visits 1 and 4. Using the Minnesota Code (MC) ECG Classification and in the absence of adjudicated MI, the following SMI definitions were derived: Standard MC MI [major Q-wave abnormality, or minor Q-wave abnormality plus major ST/T abnormality], only major Q-wave abnormality, standard significant serial Q-wave changes [Q1 to Q7], expanded MC serial Q-wave changes[Q1 to Q8], standard MC significant serial Q-wave changes or Standard MC significant serial ST/T changes, and evolving MC BBB. Cox proportional hazard models were used to examine the association of different definitions of SMI (compared to no new MI or evolving BBB) with fatal or non-fatal MI events ascertained after visit 4 until December 2016.

resultsThe prevalence of SMI ranged from 0.6 % to 7.0 % depending on the ECG criteria defining SMI. Presence of SMI was predictive of fatal/non-fatal MI regardless of the definition but with varying levels of association. Standard MC expanded serial Q-wave changes had the strongest adjusted relationship [Hazard Ratio: 2.53 (95 % Confidence Interval (CI): 1.60-4.01)] while evolving BBB had the weakest adjusted association [HR: 1.39 (95 % CI: 0.80-2.40)].

conclusionsThe prevalence and prognostic significance of SMI are impacted by the ECG criteria defining MI. A uniform approach(s) for detection of SMI in population studies which builds on the available standard definitions that fit different research scenarios is needed.

Indexed as

Bundle-Branch BlockElectrocardiographyMyocardial InfarctionFemaleHumansMaleMiddle AgedPrevalencePrognosisReproducibility of ResultsRisk AssessmentRisk FactorsSensitivity and SpecificityUnited StatesElectrocardiographyMyocardial infarctionSilent myocardial infarction

Identifiers

PMID41389643
PMCPMC13493133

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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.