Evidence map›Paper›PMID 31915031›Full record

ArticleJournal of cardiovascular magnetic resonance : official journal of the Society for Cardiovascular Magnetic Resonance2020

Hyper-acute cardiovascular magnetic resonance T1 mapping predicts infarct characteristics in patients with ST elevation myocardial infarction.

Mohammad Alkhalil, Alessandra Borlotti, Giovanni Luigi De Maria, Mathias Wolfrum, Sam Dawkins, Gregor Fahrni, Lisa Gaughran, Oxford Acute Myocardial Infarction (OxAMI) Study, Jeremy P Langrish, Andrew Lucking and 6 more

Abstract read
In one paragraph

Article in Journal of cardiovascular magnetic resonance : official journal of the Society for Cardiovascular Magnetic Resonance, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.

0numbers the graph read from it
0cells of the map it votes in
15citing 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

15 citing papers in PubMed.

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  9. 2021 - State of our JCMR.Journal of cardiovascular magnetic resonance : official journal of the Society for Cardiovascular Magnetic Resonance · 2022
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  13. [Advancement of imaging technology for coronary microcirculation dysfunction assessment].Sheng wu yi xue gong cheng xue za zhi = Journal of biomedical engineering = Shengwu yixue gongchengxue zazhi · 2020
    Review
  14. Review
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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

16 authors.

Mohammad AlkhalilAcute Vascular Imaging Centre, Radcliffe Department of Medicine, University of Oxford, Oxford, UK.ORCID 0000-0002-3088-8878
Alessandra BorlottiAcute Vascular Imaging Centre, Radcliffe Department of Medicine, University of Oxford, Oxford, UK.
Giovanni Luigi De MariaOxford Heart Centre, NIHR Biomedical Research Centre, Oxford University Hospitals, Oxford, UK.
Mathias WolfrumOxford Heart Centre, NIHR Biomedical Research Centre, Oxford University Hospitals, Oxford, UK.
Sam DawkinsOxford Heart Centre, NIHR Biomedical Research Centre, Oxford University Hospitals, Oxford, UK.
Gregor FahrniOxford Heart Centre, NIHR Biomedical Research Centre, Oxford University Hospitals, Oxford, UK.
Lisa GaughranAcute Vascular Imaging Centre, Radcliffe Department of Medicine, University of Oxford, Oxford, UK.
Oxford Acute Myocardial Infarction (OxAMI) Study
Jeremy P LangrishOxford Heart Centre, NIHR Biomedical Research Centre, Oxford University Hospitals, Oxford, UK.
Andrew LuckingOxford Heart Centre, NIHR Biomedical Research Centre, Oxford University Hospitals, Oxford, UK.
Vanessa M FerreiraDivision of Cardiovascular Medicine, University of Oxford Centre for Clinical Magnetic Resonance Research (OCMR), Oxford, UK.
Rajesh K KharbandaOxford Heart Centre, NIHR Biomedical Research Centre, Oxford University Hospitals, Oxford, UK.
Adrian P BanningOxford Heart Centre, NIHR Biomedical Research Centre, Oxford University Hospitals, Oxford, UK.
Erica Dall'ArmellinaAcute Vascular Imaging Centre, Radcliffe Department of Medicine, University of Oxford, Oxford, UK.
Keith M ChannonOxford Heart Centre, NIHR Biomedical Research Centre, Oxford University Hospitals, Oxford, UK.
Robin P ChoudhuryOxford Heart Centre, NIHR Biomedical Research Centre, Oxford University Hospitals, Oxford, UK. robin.choudhury@cardiov.ox.ac.uk.

Funding

British Heart Foundation CH/16/1/32013British Heart Foundation FS/13/71/30378British Heart Foundation RG/13/1/30181Department of Health
6 · The paper itself

Abstract

backgroundMyocardial recovery after primary percutaneous coronary intervention in acute myocardial infarction is variable and the extent and severity of injury are difficult to predict. We sought to investigate the role of cardiovascular magnetic resonance T1 mapping in the determination of myocardial injury very early after treatment of ST-segment elevation myocardial infarction (STEMI).

methodsSTEMI patients underwent 3 T cardiovascular magnetic resonance (CMR), within 3 h of primary percutaneous intervention (PPCI). T1 mapping determined the extent (area-at-risk as %left ventricle, AAR) and severity (average T1 values of AAR) of acute myocardial injury, and related these to late gadolinium enhancement (LGE), and microvascular obstruction (MVO). The characteristics of myocardial injury within 3 h was compared with changes at 24-h to predict final infarct size.

resultsForty patients were included in this study. Patients with average T1 values of AAR ≥1400 ms within 3 h of PPCI had larger LGE at 24-h (33% ±14 vs. 18% ±10, P = 0.003) and at 6-months (27% ±9 vs. 12% ±9; P < 0.001), higher incidence and larger extent of MVO (85% vs. 40%, P = 0.016) & [4.0 (0.5-9.5)% vs. 0 (0-3.0)%, P = 0.025]. The average T1 value was an independent predictor of acute LGE (β 0.61, 95%CI 0.13 to 1.09; P = 0.015), extent of MVO (β 0.22, 95%CI 0.03 to 0.41, P = 0.028) and final infarct size (β 0.63, 95%CI 0.21 to 1.05; P = 0.005). Receiver-operating-characteristic analysis showed that T1 value of AAR obtained within 3-h, but not at 24-h, predicted large infarct size (LGE > 9.5%) with 100% positive predictive value at the optimal cut-off of 1400 ms (area-under-the-curve, AUC 0.88, P = 0.006).

conclusionHyper-acute T1 values of the AAR (within 3 h post PPCI, but not 24 h) predict a larger extent of MVO and infarct size at both 24 h and 6 months follow-up. Delayed CMR scanning for 24 h could not substitute the significant value of hyper-acute average T1 in determining infarct characteristics.

Indexed as

Magnetic Resonance Imaging, CinePercutaneous Coronary InterventionAgedContrast MediaFemaleHumansMaleMeglumineMiddle AgedMyocardiumOrganometallic CompoundsPredictive Value of TestsProof of Concept StudyProspective StudiesST Elevation Myocardial InfarctionStroke VolumeContrast Mediagadoterate meglumineMeglumineOrganometallic CompoundsCMRSTEMIT1 mapping

Identifiers

PMID31915031
PMCPMC6951001

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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.