Literature DB >> 35972486

Association of COVID-19 vs Influenza With Risk of Arterial and Venous Thrombotic Events Among Hospitalized Patients.

Vincent Lo Re1,2, Sarah K Dutcher3, John G Connolly4, Silvia Perez-Vilar3, Dena M Carbonari2, Terese A DeFor5, Djeneba Audrey Djibo6, Laura B Harrington7, Laura Hou4, Sean Hennessy2, Rebecca A Hubbard2, Maria E Kempner4, Jennifer L Kuntz8, Cheryl N McMahill-Walraven6, Jolene Mosley4, Pamala A Pawloski5, Andrew B Petrone4, Allyson M Pishko9, Meighan Rogers Driscoll4, Claudia A Steiner10, Yunping Zhou11, Noelle M Cocoros4.   

Abstract

Importance: The incidence of arterial thromboembolism and venous thromboembolism in persons with COVID-19 remains unclear. Objective: To measure the 90-day risk of arterial thromboembolism and venous thromboembolism in patients hospitalized with COVID-19 before or during COVID-19 vaccine availability vs patients hospitalized with influenza. Design, Setting, and Participants: Retrospective cohort study of 41 443 patients hospitalized with COVID-19 before vaccine availability (April-November 2020), 44 194 patients hospitalized with COVID-19 during vaccine availability (December 2020-May 2021), and 8269 patients hospitalized with influenza (October 2018-April 2019) in the US Food and Drug Administration Sentinel System (data from 2 national health insurers and 4 regional integrated health systems). Exposures: COVID-19 or influenza (identified by hospital diagnosis or nucleic acid test). Main Outcomes and Measures: Hospital diagnosis of arterial thromboembolism (acute myocardial infarction or ischemic stroke) and venous thromboembolism (deep vein thrombosis or pulmonary embolism) within 90 days. Outcomes were ascertained through July 2019 for patients with influenza and through August 2021 for patients with COVID-19. Propensity scores with fine stratification were developed to account for differences between the influenza and COVID-19 cohorts. Weighted Cox regression was used to estimate the adjusted hazard ratios (HRs) for outcomes during each COVID-19 vaccine availability period vs the influenza period.
Results: A total of 85 637 patients with COVID-19 (mean age, 72 [SD, 13.0] years; 50.5% were male) and 8269 with influenza (mean age, 72 [SD, 13.3] years; 45.0% were male) were included. The 90-day absolute risk of arterial thromboembolism was 14.4% (95% CI, 13.6%-15.2%) in patients with influenza vs 15.8% (95% CI, 15.5%-16.2%) in patients with COVID-19 before vaccine availability (risk difference, 1.4% [95% CI, 1.0%-2.3%]) and 16.3% (95% CI, 16.0%-16.6%) in patients with COVID-19 during vaccine availability (risk difference, 1.9% [95% CI, 1.1%-2.7%]). Compared with patients with influenza, the risk of arterial thromboembolism was not significantly higher among patients with COVID-19 before vaccine availability (adjusted HR, 1.04 [95% CI, 0.97-1.11]) or during vaccine availability (adjusted HR, 1.07 [95% CI, 1.00-1.14]). The 90-day absolute risk of venous thromboembolism was 5.3% (95% CI, 4.9%-5.8%) in patients with influenza vs 9.5% (95% CI, 9.2%-9.7%) in patients with COVID-19 before vaccine availability (risk difference, 4.1% [95% CI, 3.6%-4.7%]) and 10.9% (95% CI, 10.6%-11.1%) in patients with COVID-19 during vaccine availability (risk difference, 5.5% [95% CI, 5.0%-6.1%]). Compared with patients with influenza, the risk of venous thromboembolism was significantly higher among patients with COVID-19 before vaccine availability (adjusted HR, 1.60 [95% CI, 1.43-1.79]) and during vaccine availability (adjusted HR, 1.89 [95% CI, 1.68-2.12]). Conclusions and Relevance: Based on data from a US public health surveillance system, hospitalization with COVID-19 before and during vaccine availability, vs hospitalization with influenza in 2018-2019, was significantly associated with a higher risk of venous thromboembolism within 90 days, but there was no significant difference in the risk of arterial thromboembolism within 90 days.

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Year:  2022        PMID: 35972486      PMCID: PMC9382447          DOI: 10.1001/jama.2022.13072

Source DB:  PubMed          Journal:  JAMA        ISSN: 0098-7484            Impact factor:   157.335


  36 in total

1.  Sensitivity Analysis in Observational Research: Introducing the E-Value.

Authors:  Tyler J VanderWeele; Peng Ding
Journal:  Ann Intern Med       Date:  2017-07-11       Impact factor: 25.391

2.  A Propensity-score-based Fine Stratification Approach for Confounding Adjustment When Exposure Is Infrequent.

Authors:  Rishi J Desai; Kenneth J Rothman; Brian T Bateman; Sonia Hernandez-Diaz; Krista F Huybrechts
Journal:  Epidemiology       Date:  2017-03       Impact factor: 4.822

3.  Acute Myocardial Infarction after Laboratory-Confirmed Influenza Infection.

Authors:  Jeffrey C Kwong; Kevin L Schwartz; Michael A Campitelli; Hannah Chung; Natasha S Crowcroft; Timothy Karnauchow; Kevin Katz; Dennis T Ko; Allison J McGeer; Dayre McNally; David C Richardson; Laura C Rosella; Andrew Simor; Marek Smieja; George Zahariadis; Jonathan B Gubbay
Journal:  N Engl J Med       Date:  2018-01-25       Impact factor: 91.245

4.  Chart validation of inpatient ICD-9-CM administrative diagnosis codes for acute myocardial infarction (AMI) among intravenous immune globulin (IGIV) users in the Sentinel Distributed Database.

Authors:  Eric M Ammann; Marin L Schweizer; Jennifer G Robinson; Jayasheel O Eschol; Rami Kafa; Saket Girotra; Scott K Winiecki; Candace C Fuller; Ryan M Carnahan; Charles E Leonard; Cole Haskins; Crystal Garcia; Elizabeth A Chrischilles
Journal:  Pharmacoepidemiol Drug Saf       Date:  2018-02-15       Impact factor: 2.890

5.  Pulmonary Vascular Endothelialitis, Thrombosis, and Angiogenesis in Covid-19.

Authors:  Maximilian Ackermann; Stijn E Verleden; Mark Kuehnel; Axel Haverich; Tobias Welte; Florian Laenger; Arno Vanstapel; Christopher Werlein; Helge Stark; Alexandar Tzankov; William W Li; Vincent W Li; Steven J Mentzer; Danny Jonigk
Journal:  N Engl J Med       Date:  2020-05-21       Impact factor: 91.245

6.  Validation of ICD-9 codes with a high positive predictive value for incident strokes resulting in hospitalization using Medicaid health data.

Authors:  Christianne L Roumie; Edward Mitchel; Patricia S Gideon; Cristina Varas-Lorenzo; Jordi Castellsague; Marie R Griffin
Journal:  Pharmacoepidemiol Drug Saf       Date:  2008-01       Impact factor: 2.890

7.  Update: Influenza Activity in the United States During the 2018-19 Season and Composition of the 2019-20 Influenza Vaccine.

Authors:  Xiyan Xu; Lenee Blanton; Anwar Isa Abd Elal; Noreen Alabi; John Barnes; Matthew Biggerstaff; Lynnette Brammer; Alicia P Budd; Erin Burns; Charisse N Cummings; Shikha Garg; Rebecca Kondor; Larisa Gubareva; Krista Kniss; Sankan Nyanseor; Alissa O'Halloran; Melissa Rolfes; Wendy Sessions; Vivien G Dugan; Alicia M Fry; David E Wentworth; James Stevens; Daniel Jernigan
Journal:  MMWR Morb Mortal Wkly Rep       Date:  2019-06-21       Impact factor: 17.586

8.  Venous and arterial thromboembolic complications in COVID-19 patients admitted to an academic hospital in Milan, Italy.

Authors:  Corrado Lodigiani; Giacomo Iapichino; Luca Carenzo; Maurizio Cecconi; Paola Ferrazzi; Tim Sebastian; Nils Kucher; Jan-Dirk Studt; Clara Sacco; Alexia Bertuzzi; Maria Teresa Sandri; Stefano Barco
Journal:  Thromb Res       Date:  2020-04-23       Impact factor: 3.944

9.  Inverse probability weighted Cox model in multi-site studies without sharing individual-level data.

Authors:  Di Shu; Kazuki Yoshida; Bruce H Fireman; Sengwee Toh
Journal:  Stat Methods Med Res       Date:  2019-08-26       Impact factor: 3.021

10.  Incidence of thrombotic complications in critically ill ICU patients with COVID-19.

Authors:  F A Klok; M J H A Kruip; N J M van der Meer; M S Arbous; D A M P J Gommers; K M Kant; F H J Kaptein; J van Paassen; M A M Stals; M V Huisman; H Endeman
Journal:  Thromb Res       Date:  2020-04-10       Impact factor: 3.944

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