Evidence map›Paper›PMID 39627021›Full record

ArticleOpen heart2024

Clinical features, myocardial injury and systolic impairment in acute myocarditis.

Vijay Shyam-Sundar, Greg Slabaugh, Saidi A Mohiddin, Steffen Erhard Petersen, Nay Aung

Abstract read
In one paragraph

Article in Open heart, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. Article
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

5 authors.

Vijay Shyam-SundarAdvanced Cardiovascular Imaging, Queen Mary University of London William Harvey Research Institute, London, UK.ORCID 0000-0002-4331-1496
Greg SlabaughDigital Environment Research Institute, Queen Mary University of London, London, UK.
Saidi A MohiddinDepartment of Cardiology, Barts Heart Centre, St Bartholomew's Hospital, London, UK.
Steffen Erhard PetersenAdvanced Cardiovascular Imaging, Queen Mary University of London William Harvey Research Institute, London, UK.
Nay AungAdvanced Cardiovascular Imaging, Queen Mary University of London William Harvey Research Institute, London, UK N.aung@qmul.ac.uk.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveCardiovascular magnetic resonance (CMR) is increasingly used in the diagnosis of myocarditis, with myocardial injury and systolic dysfunction playing key roles in the prognosis of this clinical setting. The clinical determinants of myocardial injury and systolic impairment in acute myocarditis are poorly defined. The aim of the current study is to assess the association of laboratory markers, late gadolinium enhancement (LGE) and left ventricular ejection fraction (LVEF) in patients with acute myocarditis.

methodsWe completed a retrospective cohort study from a tertiary referral centre in London with CMR and acute myocarditis. Cases with cardiomyopathy were excluded. Missing data was imputed for selected clinical variables. We evaluated the association between peak troponin and LGE extent and LVEF. We adjusted the models for age, sex and time to CMR with a sensitivity analysis adjusting for body mass index and cardiovascular risk factors including hypertension, dyslipidaemia, diabetes mellitus and smoking.

results127 patients had abnormal T2-weighted imaging/mapping results with 118 (93%) presenting with chest pain and/or shortness of breath. Left ventricular LGE was identified in 118 (93%) patients and LVEF was 58±11%. The median time from the peak troponin to CMR was 1 day (IQR 0-6 days). The highest tertile of peak troponin was associated with more LGE (incident rate ratio 1.33, 95% CI: 1.07 to 1.64) and a lower LVEF (coefficient -5.3%, 95% CI: -9.5% to -1.1%). Diabetes was also associated with more LGE (incident rate ratio 1.90, 95% CI: 1.37 to 2.61) and lower LVEF (coefficient -8.9%, 95% CI: -14.7% to -1.8%).

conclusionsPeak troponin is associated with more LGE and a lower LVEF even after accounting for demographics and comorbidities. Myocardial injury and systolic dysfunction play key roles in prognosis and future work incorporating clinical features into a risk prediction model may enable better risk stratification in acute myocarditis.

Indexed as

Magnetic Resonance Imaging, CineMyocarditisStroke VolumeSystoleVentricular Function, LeftAcute DiseaseAdultBiomarkersFemaleHumansLondonMaleMiddle AgedMyocardiumPrognosisRetrospective StudiesBiomarkersTroponinBiomarkersDiabetes MellitusMagnetic Resonance ImagingMyocarditis

Identifiers

PMID39627021
PMCPMC11624809

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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.