Evidence map›Paper›PMID 41454274›Full record

Observational studyBMC cardiovascular disorders2025

New electrocardiographic changes as predictors of acute coronary interventions in the emergency department: a retrospective observational study.

Katherine Holmes, Emily Drone, Kaitlyn Lizardo, Garrett Frazier, Liana Milis, Daniel Phillips, Jeffy Jose, Kassidy Fretz, Charles Huggins, Hao Wang

Abstract readObservational Study
In one paragraph

Observational study in BMC cardiovascular disorders, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0citing papers in PubMed
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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

10 authors.

Katherine HolmesDepartment of Emergency Medicine, JPS Health Network, 1500 S. Main St, Fort Worth, TX, 76104, USA.
Emily DroneDepartment of Emergency Medicine, JPS Health Network, 1500 S. Main St, Fort Worth, TX, 76104, USA.
Kaitlyn LizardoDepartment of Emergency Medicine, JPS Health Network, 1500 S. Main St, Fort Worth, TX, 76104, USA.
Garrett FrazierDepartment of Emergency Medicine, JPS Health Network, 1500 S. Main St, Fort Worth, TX, 76104, USA.
Liana MilisDepartment of Emergency Medicine, JPS Health Network, 1500 S. Main St, Fort Worth, TX, 76104, USA.
Daniel PhillipsDepartment of Emergency Medicine, JPS Health Network, 1500 S. Main St, Fort Worth, TX, 76104, USA.
Jeffy JoseDepartment of Emergency Medicine, JPS Health Network, 1500 S. Main St, Fort Worth, TX, 76104, USA.
Kassidy FretzDepartment of Emergency Medicine, JPS Health Network, 1500 S. Main St, Fort Worth, TX, 76104, USA.
Charles HugginsDepartment of Emergency Medicine, JPS Health Network, 1500 S. Main St, Fort Worth, TX, 76104, USA.
Hao WangDepartment of Emergency Medicine, JPS Health Network, 1500 S. Main St, Fort Worth, TX, 76104, USA. hwang@ies.healthcare.ORCID 0000-0002-5105-0951

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundElectrocardiograms (EKGs) are integral to the early evaluation of chest pain in the emergency department (ED), and the HEART score is frequently used for risk stratification of acute coronary syndrome (ACS). However, the HEART score typically relies on static EKG assessments, overlooking recent EKG changes that may reveal evolving ischemia. This study investigates the association between serial EKG changes and the need for urgent cardiac interventions, assessing whether integrating serial EKG data can enhance the predictive accuracy of the HEART score.

methodsWe conducted a single-center retrospective observational study of ED patients who presented at least twice with chest pain or equivalent symptoms from 2019 to 2023. Eligible patients had serial EKGs and documented HEART scores. New EKG changes were categorized into three groups: (1) new common ischemic patterns (e.g., T-wave inversions, ST-T segment depressions); (2) pseudo-normalization (e.g., resolution of prior abnormalities); and (3) new uncommon ischemic patterns (e.g., QT prolongation, U waves, LBBB, etc.). The primary outcome was the requirement for percutaneous coronary intervention (PCI) or coronary artery bypass grafting (CABG). Propensity score matching was used to control confounding factors. Inter-rater agreement for EKG classification was assessed using Cohen's kappa.

resultsAmong 1,862 patients, 149 (8.0%) underwent PCI/CABG interventions. New EKG changes were observed in nearly 80% of patients who required intervention, compared with less than 30% of those who did not (p < 0.001). The most frequent patterns were T-wave inversions and ST-T depressions. Despite higher HEART scores in the intervention group, 10.7% were misclassified as low risk under traditional scoring.

conclusionsNew EKG changes may be strongly associated with the need for PCI/CABG and provide prognostic value beyond static EKG interpretation. Relying solely on traditional HEART scoring may underestimate risk in a significant subset of patients.

Indexed as

Acute Coronary SyndromeAngina PectorisElectrocardiographyEmergency Service, HospitalHeart RatePercutaneous Coronary InterventionAgedClinical Decision-MakingFemaleHumansMaleMiddle AgedPredictive Value of TestsRetrospective StudiesRisk AssessmentRisk FactorsAcute coronary interventionHEART scoreNew EKG

Identifiers

PMID41454274
PMCPMC12825277

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Registered trials

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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.