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Record W7052143810

Risk of Arterial and Venous Thrombotic Events Among Patients with COVID-19: A Multi-National Collaboration of Regulatory Agencies from Canada, Europe, and United States

2024· article· en· W7052143810 on OpenAlexaboutno aff

Bibliographic record

VenueDOAJ (DOAJ: Directory of Open Access Journals) · 2024
Typearticle
Languageen
FieldPhysics and Astronomy
TopicMagnetic confinement fusion research
Canadian institutionsnot available
Fundersnot available
KeywordsUniversity hospitalObservational studyPopulationAnalyticsPilgrimHealth care
DOInot available

Abstract

fetched live from OpenAlex

Vincent Lo Re III,1,2,* Noelle M Cocoros,3,4,* Rebecca A Hubbard,2 Sarah K Dutcher,5 Craig W Newcomb,2 John G Connolly,3,4 Silvia Perez-Vilar,5 Dena M Carbonari,2 Maria E Kempner,3,4 José J Hernández-Muñoz,5 Andrew B Petrone,3,4 Allyson M Pishko,6 Meighan E Rogers Driscoll,3,4 James T Brash,7 Sean Burnett,8,9 Catherine Cohet,10 Matthew Dahl,8,11 Terese A DeFor,12 Antonella Delmestri,13 Djeneba Audrey Djibo,14 Talita Duarte-Salles,15,16 Laura B Harrington,17 Melissa Kampman,18 Jennifer L Kuntz,19 Xavier Kurz,10 Núria Mercadé-Besora,15 Pamala A Pawloski,12 Peter R Rijnbeek,16 Sarah Seager,7 Claudia A Steiner,20,21 Katia Verhamme,16 Fangyun Wu,8,22 Yunping Zhou,23 Edward Burn,13 J Michael Paterson,8,22,* Daniel Prieto-Alhambra13,16,* 1Division of Infectious Diseases, Department of Medicine, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA; 2Department of Biostatistics, Epidemiology, and Informatics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA; 3Department of Population Medicine, Harvard Medical School, Boston, MA, USA; 4Harvard Pilgrim Healthcare Institute, Boston, MA, USA; 5Office of Surveillance and Epidemiology, Center for Drug Evaluation and Research, US Food and Drug Administration, Silver Spring, MD, USA; 6Division of Hematology and Oncology, Department of Medicine, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA; 7IQVIA, Real World Solutions, Brighton, UK; 8Canadian Network for Observational Drug Effect Studies (CNODES), Toronto, Ontario, Canada; 9Therapeutics Initiative, University of British Columbia, Vancouver, British Columbia, Canada; 10Data Analytics and Methods Task Force, European Medicines Agency, Amsterdam, Netherlands; 11Manitoba Centre for Health Policy, University of Manitoba, Winnipeg, Manitoba, Canada; 12HealthPartners Institute, Bloomington, MN, USA; 13Pharmaco- and Device Epidemiology, Nuffield Department of Orthopaedics, Rheumatology and Musculoskeletal Sciences (NDORMS), University of Oxford, Oxford, UK; 14CVS Health, Blue Bell, PA, USA; 15Fundació Institut Universitari per a la recerca a l’Atenció Primària de Salut Jordi Gol i Gurina (IDIAPJGol), Barcelona, Spain; 16Department of Medical Informatics, Erasmus University Medical Center, Rotterdam, Netherlands; 17Kaiser Permanente Washington Health Research Institute, Seattle, WA, USA; 18Health Canada, Ottawa, Ontario, Canada; 19Kaiser Permanente Northwest Center for Health Research, Portland, OR, USA; 20Kaiser Permanente Colorado Institute for Health Research, Aurora, CO, USA; 21Colorado Permanente Medical Group, Denver, CO, USA; 22ICES, Toronto, Ontario, Canada; 23Humana Healthcare Research, Inc., Louisville, KY, USA*These authors contributed equally to this workCorrespondence: Vincent Lo Re III, Division of Infectious Diseases, Department of Medicine, Division of Epidemiology, Department of Biostatistics, Epidemiology, and Informatics, Center for Clinical Epidemiology and Biostatistics, Perelman School of Medicine, University of Pennsylvania, 836 Blockley Hall, 423 Guardian Drive, Philadelphia, PA, 19104-6021, USA, Fax +1 215 573 5315, Email vincentl@pennmedicine.upenn.eduPurpose: Few studies have examined how the absolute risk of thromboembolism with COVID-19 has evolved over time across different countries. Researchers from the European Medicines Agency, Health Canada, and the United States (US) Food and Drug Administration established a collaboration to evaluate the absolute risk of arterial (ATE) and venous thromboembolism (VTE) in the 90 days after diagnosis of COVID-19 in the ambulatory (eg, outpatient, emergency department, nursing facility) setting from seven countries across North America (Canada, US) and Europe (England, Germany, Italy, Netherlands, and Spain) within periods before and during COVID-19 vaccine availability.Patients and Methods: We conducted cohort studies of patients initially diagnosed with COVID-19 in the ambulatory setting from the seven specified countries. Patients were followed for 90 days after COVID-19 diagnosis. The primary outcomes were ATE and VTE over 90 days from diagnosis date. We measured country-level estimates of 90-day absolute risk (with 95% confidence intervals) of ATE and VTE.Results: The seven cohorts included 1,061,565 patients initially diagnosed with COVID-19 in the ambulatory setting before COVID-19 vaccines were available (through November 2020). The 90-day absolute risk of ATE during this period ranged from 0.11% (0.09– 0.13%) in Canada to 1.01% (0.97– 1.05%) in the US, and the 90-day absolute risk of VTE ranged from 0.23% (0.21– 0.26%) in Canada to 0.84% (0.80– 0.89%) in England. The seven cohorts included 3,544,062 patients with COVID-19 during vaccine availability (beginning December 2020). The 90-day absolute risk of ATE during this period ranged from 0.06% (0.06– 0.07%) in England to 1.04% (1.01– 1.06%) in the US, and the 90-day absolute risk of VTE ranged from 0.25% (0.24– 0.26%) in England to 1.02% (0.99– 1.04%) in the US.Conclusion: There was heterogeneity by country in 90-day absolute risk of ATE and VTE after ambulatory COVID-19 diagnosis both before and during COVID-19 vaccine availability.Plain Language Summary: Cohort studies of patients diagnosed with COVID-19 in both the ambulatory and hospital settings have suggested that SARS-CoV-2 infection promotes hypercoagulability that could lead to arterial or venous thromboembolism. However, few studies have examined how the risk of thromboembolism with COVID-19 has evolved over time across different countries. A new collaboration was established among the regulatory authorities of Canada, Europe, and the US within the International Coalition of Medicines Regulatory Authorities to evaluate the 90-day risk of both arterial and venous thromboembolism after initial diagnosis of COVID-19 in the ambulatory or hospital setting from seven countries across North America (Canada, US) and Europe (England, Germany, Italy, Netherlands, and Spain) within periods before and during COVID-19 vaccine availability. The study found that there was variability in the risk of both arterial and venous thromboembolism by month across the countries among patients initially diagnosed with COVID-19 in the ambulatory or hospital setting. Differences in the healthcare systems, prevalence of comorbidities in the study cohorts, and approaches to the case definitions of thromboembolism likely contributed to the variability in estimates of thromboembolism risk across the countries.Keywords: COVID-19, ischemic stroke, myocardial infarction, thromboembolism, venous thromboembolism

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.002
metaresearch head score (Gemma)0.007
Version: metacan-v3-hybrid-931329e0061cValidation 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 score0.639
Threshold uncertainty score0.718

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.007
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.001
Bibliometrics0.0010.003
Science and technology studies0.0020.001
Scholarly communication0.0020.001
Open science0.0010.002
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0010.000

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 head0.076
GPT teacher head0.442
Teacher spread0.366 · 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 source (direct Gemma or distilled Codex), 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".

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Citations0
Published2024
Admission routes1
Has abstractyes

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