Evidence map›Paper›PMID 35019953›Full record

ArticleJAMA cardiology2022

Combined Cardiac Fluorodeoxyglucose-Positron Emission Tomography/Magnetic Resonance Imaging Assessment of Myocardial Injury in Patients Who Recently Recovered From COVID-19.

Kate Hanneman, Christian Houbois, Alice Schoffel, Dakota Gustafson, Robert M Iwanochko, Bernd J Wintersperger, Rosanna Chan, Jason E Fish, Kathryn L Howe, Paaladinesh Thavendiranathan

Open access · bronzeAbstract read
In one paragraph

Article in JAMA cardiology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 29 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
29citing papers in PubMed, 3 pooled it
6.6field-weighted citation impact, top 2% of its field
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

29 citing papers in PubMed, 3 syntheses or guidelines pooled it, 54 citations in OpenAlex.

  1. Pooled it
  2. Pooled it
  3. Guideline
  4. Prevalence of Persistent Cardiovascular and Pulmonary Abnormalities on PET/MRI and DECT Imaging in Long COVID Patients.Journal of nuclear medicine : official publication, Society of Nuclear Medicine · 2025
    Article
  5. Article
  6. Review
  7. MRI of cardiac involvement in COVID-19.The British journal of radiology · 2024
    Review
  8. Review
  9. Article
  10. Review
  11. Observational
  12. Article
  13. Review
  14. Review
  15. Radiology. Cardiothoracic imaging · 2023
    Review
  16. Multimodality Cardiac Imaging in COVID.Circulation research · 2023
    Review
  17. Review
  18. Myocarditis Following COVID-19 Vaccination.Heart failure clinics · 2023
    Review
  19. Article
  20. Cardiovascular magnetic resonance for evaluation of cardiac involvement in COVID-19: recommendations by the Society for Cardiovascular Magnetic Resonance.Journal of cardiovascular magnetic resonance : official journal of the Society for Cardiovascular Magnetic Resonance · 2023
    Review
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

10 authors at 3 institutions in 2 countries.

Kate HannemanDepartment of Medical Imaging, Toronto General Hospital, Peter Munk Cardiac Center, University Health Network (UHN), University of Toronto, Toronto, Ontario, Canada.
Christian HouboisDepartment of Medical Imaging, Toronto General Hospital, Peter Munk Cardiac Center, University Health Network (UHN), University of Toronto, Toronto, Ontario, Canada.
Alice SchoffelDivision of Cardiology, Peter Munk Cardiac Centre, Toronto General Hospital, University Health Network (UHN), University of Toronto, Toronto, Ontario, Canada.
Dakota GustafsonToronto General Hospital Research Institute, University Health Network (UHN), Department of Laboratory Medicine & Pathobiology, University of Toronto, Toronto, Ontario, Canada.
Robert M IwanochkoDivision of Cardiology, Peter Munk Cardiac Centre, Toronto General Hospital, University Health Network (UHN), University of Toronto, Toronto, Ontario, Canada.
Bernd J WinterspergerDepartment of Medical Imaging, Toronto General Hospital, Peter Munk Cardiac Center, University Health Network (UHN), University of Toronto, Toronto, Ontario, Canada.
Rosanna ChanDepartment of Medical Imaging, Toronto General Hospital, Peter Munk Cardiac Center, University Health Network (UHN), University of Toronto, Toronto, Ontario, Canada.
Jason E FishToronto General Hospital Research Institute, University Health Network (UHN), Department of Laboratory Medicine & Pathobiology, University of Toronto, Toronto, Ontario, Canada.
Kathryn L HoweDepartment of Vascular Surgery, Toronto General Hospital, University Health Network (UHN), University of Toronto, Toronto, Ontario, Canada.
Paaladinesh ThavendiranathanDepartment of Medical Imaging, Toronto General Hospital, Peter Munk Cardiac Center, University Health Network (UHN), University of Toronto, Toronto, Ontario, Canada.
University of Toronto · CAUniversity Health Network · CAToronto General Hospital · CA

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

importanceAlthough myocardial injury can occur with acute COVID-19, there is limited understanding of changes with myocardial metabolism in recovered patients.

objectiveTo examine myocardial metabolic changes early after recovery from COVID-19 using fluorodeoxyglucose-positron emission tomography (PET) and associate these changes to abnormalities in cardiac magnetic resonance imaging (MRI)-based function and tissue characterization measures and inflammatory blood markers. DESIGN, SETTING, AND

participantsThis prospective cohort study took place at a single-center tertiary referral hospital system. A volunteer sample of adult patients within 3 months of a diagnosis of COVID-19 who responded to a mail invitation were recruited for cardiac PET/MRI and blood biomarker evaluation between November 2020 and June 2021. EXPOSURES: Myocardial inflammation as determined by focal fluorodeoxyglucose (FDG) uptake on PET. MAIN OUTCOMES AND MEASURES: Demographic characteristics, cardiac and inflammatory blood markers, and fasting combined cardiac 18F-FDG PET/MRI imaging were obtained. All patients with focal FDG uptake at baseline returned for repeated PET/MRI and blood marker assessment 2 months later.

resultsOf 47 included patients, 24 (51%) were female, and the mean (SD) age was 43 (13) years. The mean (SD) interval between COVID-19 diagnosis and PET/MRI was 67 (16) days. Most patients recovered at home during the acute infection (40 [85%]). Eight patients (17%) had focal FDG uptake on PET consistent with myocardial inflammation. Compared with those without FDG uptake, patients with focal FDG uptake had higher regional T2, T1, and extracellular volume (colocalizing with focal FDG uptake), higher prevalence of late gadolinium enhancement (6 of 8 [75%] vs 9 of 39 [23%], P = .009), lower left ventricular ejection fraction (mean [SD], 55% [4%] vs 62% [5%], P < .001), worse global longitudinal and circumferential strain (mean [SD], -16% [2%] vs -17% [2%], P = .02 and -18% [2%] vs -20% [2%], P = .047, respectively), and higher systemic inflammatory blood markers including interleukin 6, interleukin 8, and high-sensitivity C-reactive protein. Among patients with focal FDG uptake, PET/MRI, and inflammatory blood markers resolved or improved at follow-up performed a mean (SD) of 52 (17) days after baseline PET/MRI. CONCLUSIONS AND RELEVANCE: In this study of patients recently recovered from COVID-19, myocardial inflammation was identified on PET in a small proportion of patients, was associated with cardiac MRI abnormalities and elevated inflammatory blood markers at baseline, and improved at follow-up.

Indexed as

Contrast MediaCOVID-19AdultCOVID-19 TestingFemaleGadoliniumHumansMagnetic Resonance ImagingPositron-Emission TomographyProspective StudiesRadiopharmaceuticalsSARS-CoV-2Stroke VolumeVentricular Function, LeftContrast MediaGadoliniumRadiopharmaceuticals

Identifiers

PMID35019953
PMCPMC8756363
OpenAlexW4206401325

What Socratic holds

Textmetadata
Read underepoch 390

Registered trials

None linked

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 Socratic graph.