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Record W3165060695 · doi:10.1016/j.cjco.2021.05.012

Rate of COVID-19 Infection in Patients With ST-Segment Elevation Myocardial Infarction

2021· article· en· W3165060695 on OpenAlexafffundabout
Maneesh Sud, Feng Qiu, Rajan Shah, Douglas S. Lee, Brahmajee K. Nallamothu, Madhu K. Natarajan, Harindra C. Wijeysundera, Dennis T. Ko

Bibliographic record

VenueCJC Open · 2021
Typearticle
Languageen
FieldMedicine
TopicCOVID-19 and healthcare impacts
Canadian institutionsMcMaster UniversityHamilton Health SciencesUniversity Health NetworkUniversity of TorontoInstitute for Clinical Evaluative SciencesSunnybrook Health Science CentreHealth Sciences Centre
FundersDepartment of Medicine, University of TorontoCanadian Institutes of Health ResearchCorHealth OntarioInstitute of Population and Public HealthUniversity of TorontoOntario Ministry of Health and Long-Term CareInstitute for Clinical Evaluative Sciences
KeywordsMedicineConventional PCIPercutaneous coronary interventionCoronavirus disease 2019 (COVID-19)Myocardial infarctionIncidence (geometry)PopulationSevere acute respiratory syndrome coronavirus 2 (SARS-CoV-2)Lung infectionInternal medicinePediatricsCardiologyDiseaseLungInfectious disease (medical specialty)

Abstract

fetched live from OpenAlex

BACKGROUND: The incidence of coronavirus disease 2019 (COVID-19) in patients with ST-segment elevation myocardial infarction (STEMI) has not been fully described. METHODS: All patients with STEMI undergoing primary percutaneous coronary intervention (PCI) in Ontario, Canada between March 1 and September 30, 2020 were included. Rates of positive COVID-19 tests from January 1, 2020 to the date of STEMI presentation were ascertained. For comparison, COVID-19 results were also evaluated in the adult Ontario population between January 1, 2020 and September 30, 2020, using provincial laboratory testing data. RESULTS: There were 3606 unique patients presenting with STEMI and receiving PCI in Ontario, Canada during the study period. Sixteen patients (0.44%) tested positive for COVID-19. The background infection rate among all 12,448,541 Ontario residents was similar, at 0.34%. CONCLUSIONS: The results of this population-based analysis suggest that proceeding with primary PCI with appropriate infection control practices is reasonable when community infection rates are low.

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)0.000
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.013
Threshold uncertainty score0.782

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
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 head0.044
GPT teacher head0.378
Teacher spread0.334 · 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.

The models applied no category: nothing in the taxonomy fit this work.
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

Citations0
Published2021
Admission routes3
Has abstractyes

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