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Record W4383873208 · doi:10.1148/radiol.230767

Multimodality Cardiac Imaging, Cardiac Symptoms, and Clinical Outcomes in Patients Who Recovered from Mild COVID-19

2023· article· en· W4383873208 on OpenAlexaff
Kate Hanneman, Christian Houbois, Tiffanie Kei, Dakota Gustafson, Babitha Thampinathan, Maala Sooriyakanthan, Jason E. Fish, Kathryn L. Howe, Angela M. Cheung, Bernd J. Wintersperger, Wayne L. Gold, Anna Woo, Paaladinesh Thavendiranathan

Bibliographic record

VenueRadiology · 2023
Typearticle
Languageen
FieldMedicine
TopicLong-Term Effects of COVID-19
Canadian institutionsToronto General HospitalUniversity of TorontoUniversity Health Network
Fundersnot available
KeywordsMedicineInternal medicineCoronavirus disease 2019 (COVID-19)Odds ratioLogistic regressionCardiologyCardiac imagingCardiac magnetic resonance imagingProspective cohort studyMagnetic resonance imagingRadiologyDisease

Abstract

fetched live from OpenAlex

Background Many individuals have persistent cardiac symptoms after mild COVID-19 infection. However, studies assessing the relationship between symptoms and cardiac imaging are limited. Purpose To assess the relationship between multimodality cardiac imaging parameters, cardiac symptoms, and clinical outcomes in patients who recovered from mild COVID-19 compared with COVID-19–negative controls. Materials and Methods Patients who underwent polymerase chain reaction testing for SARS-CoV-2 from August 2020 to January 2022 were invited to participate in this prospective single-center study. Participants underwent cardiac MRI, echocardiography, and assessment of cardiac symptoms at 3–6 months after SARS-CoV-2 testing. Cardiac symptoms and outcomes were also evaluated at a 12–18-month follow-up time point. Statistical analysis included the Fisher exact test and logistic regression. Results This study included 122 participants who recovered from COVID-19 (mean age, 42 years ± 13 [SD]; 73 female) and 22 controls who tested negative for COVID-19 (mean age, 46 years ± 16; 13 female). At 3–6 months, 20% (24 of 122) and 44% (54 of 122) of participants with COVID-19 had at least one abnormality at echocardiography and cardiac MRI, respectively, which did not differ compared with controls (23% [five of 22], P = .77 and 41% [nine of 22], P = .82, respectively). However, participants with COVID-19 more frequently reported cardiac symptoms at 3–6 months compared with controls (48% [58 of 122] vs 23% [five of 22], P = .04). An increase in native T1 (10 msec) was associated with increased odds of cardiac symptoms at the 3–6-month (odds ratio [OR], 1.09 [95% CI: 1.00, 1.19]; P = .046) and 12–18-month (OR, 1.14 [95% CI: 1.01, 1.28]; P = .028) time points. No major adverse cardiac events occurred during follow-up. Conclusion Participants who recovered from mild COVID-19 reported increased cardiac symptoms 3–6 months after diagnosis compared with controls, but the prevalence of abnormalities at echocardiography and cardiac MRI did not differ between groups. Elevated native T1 was associated with cardiac symptoms 3–6 months and 12–18 months after mild COVID-19. © RSNA, 2023 Supplemental material is available for this article.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.008
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.006
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.008
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0020.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.022
GPT teacher head0.355
Teacher spread0.333 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

Study designObservational
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations8
Published2023
Admission routes1
Has abstractyes

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