Evidence map›Paper›PMID 38789886›Full record

ArticleCJEM2024

HEART + score: integrating carotid ultrasound to chest pain assessment in the emergency department.

Marie-France Hétu, Steven C Brooks, Winnie Chan, Julia E Herr, Marco L A Sivilotti, Nicole O'Callaghan, Vlad Latiu, Joseph Newbigging, Andrew G Day, Patrick A Norman and 2 more

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Article in CJEM, 2024. 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

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3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

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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

12 authors.

Marie-France HétuDepartment of Medicine, Division of Cardiology, Cardiovascular Imaging Network at Queen's University, Kingston, ON, Canada.
Steven C BrooksDepartment of Emergency Medicine, Queen's University, Kingston, ON, Canada.
Winnie ChanDepartment of Medicine, Division of Cardiology, Cardiovascular Imaging Network at Queen's University, Kingston, ON, Canada.
Julia E HerrDepartment of Medicine, Division of Cardiology, Cardiovascular Imaging Network at Queen's University, Kingston, ON, Canada.
Marco L A SivilottiDepartment of Emergency Medicine, Queen's University, Kingston, ON, Canada.
Nicole O'CallaghanDepartment of Emergency Medicine, Queen's University, Kingston, ON, Canada.
Vlad Latiu
Joseph NewbiggingDepartment of Emergency Medicine, Queen's University, Kingston, ON, Canada.
Andrew G DayDepartment of Public Health Sciences, Queen's University, Kingston, ON, Canada.
Patrick A NormanDepartment of Public Health Sciences, Queen's University, Kingston, ON, Canada.
Braeden HillDepartment of Medicine, Division of Cardiology, Cardiovascular Imaging Network at Queen's University, Kingston, ON, Canada.
Amer M JohriDepartment of Medicine, Division of Cardiology, Cardiovascular Imaging Network at Queen's University, Kingston, ON, Canada. amerschedule@gmail.com.ORCID 0000-0001-7044-8212

Funding

Canada Foundation for Innovation John R. Evans Leaders FundSoutheastern Ontario Academic Medical Organization Innovation Fund
6 · The paper itself

Abstract

objectivesThe HEART score is a clinical decision tool that stratifies patients into categories of low, moderate, and high-risk of major adverse cardiac events in the emergency department (ED) but cannot identify underlying cardiovascular disease in patients without prior history. The presence of atherosclerosis can easily be detected at the bedside using carotid ultrasound. Plaque quantification is well established, and plaque composition can be assessed using ultrasound grayscale pixel distribution analysis. This study aimed to determine whether carotid plaque burden and/or composition correlated with risk of events and could improve the sensitivity of the HEART score in risk stratifying ED patients with chest pain.

methodsThe HEART score was calculated based on history, electrocardiogram, age, risk factors, and initial troponin in patients presenting to the ED with chest pain (n = 321). Focused carotid ultrasound was performed, and maximum plaque height and total plaque area were used to determine plaque burden (quantity). Plaque composition (% blood, fat, muscle, fibrous, calcium-like tissue) was assessed by pixel distribution analysis.

resultsCarotid plaque height and area increased with HEART score (p < 0.0001). Carotid plaque % fibrous and % calcium also increased with HEART score. The HEART score had a higher area under the curve (AUC = 0.84) in predicting 30-day events compared to the plaque variables alone (AUCs < 0.70). Integrating plaque quantity into the HEART score slightly increased test sensitivity (62-69%) for 30-day events and reclassified 11 moderate-risk participants to high-risk (score 7-10).

conclusionPlaque burden with advanced composition features (fibrous and calcium) was associated with increased HEART score. Integrating plaque assessment into the HEART score identified subclinical atherosclerosis in moderate-risk patients.

Indexed as

Chest PainEmergency Service, HospitalAgedCarotid ArteriesCarotid Artery DiseasesElectrocardiographyFemaleHumansMaleMiddle AgedPlaque, AtheroscleroticRisk AssessmentRisk FactorsUltrasonographyUltrasonography, Carotid ArteriesCardiovascularCarotid plaqueEmergency departmentHEART scoreMajor adverse cardiac eventsUltrasound

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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.