S'abonner

Characteristics of clinical trials evaluating cardiovascular therapies for Coronavirus Disease 2019 Registered on ClinicalTrials.gov: a cross sectional analysis - 23/01/21

Doi : 10.1016/j.ahj.2020.10.065 
Anubodh S. Varshney, MD a, , 1 , David E. Wang, MD b, 1, Ankeet S. Bhatt, MD, MBA a, Alexander Blood, MD a, Musa A. Sharkawi, MBBCh a, Hasan K. Siddiqi, MD, MSCR a, Muthiah Vaduganathan, MD, MPH a, Peter P. Monteleone, MD c, Manesh R. Patel, MD d, W. Schuyler Jones, MD d, Renato D. Lopes, MD, PhD d, Mandeep R. Mehra, MD, MSc a, Deepak L. Bhatt, MD, MPH a, Ajar Kochar, MD, MHS a
a Brigham and Women’s Hospital Heart & Vascular Center and Harvard Medical School, Boston, MA 
b Department of Medicine, Brigham and Women’s Hospital and Harvard Medical School, Boston, MA 
c Seton Heart Institute, The University of Texas at Austin Dell School of Medicine, Austin, TX 
d Division of Cardiology, Department of Medicine, Duke University Medical Center and Duke Clinical Research Institute, Durham, NC 

Reprint requests: Anubodh S. Varshney, MD, Brigham and Women's Hospital, Division of Cardiovascular Medicine, 70 Francis St, Boston, MA 02115.Brigham and Women's Hospital, Division of Cardiovascular Medicine, 70 Francis StBostonMA02115

Bienvenue sur EM-consulte, la référence des professionnels de santé.
Article gratuit.

Connectez-vous pour en bénéficier!

Background

Morbidity and mortality associated with COVID-19 has increased exponentially, and patients with cardiovascular (CV) disease are at risk for poor outcomes. Several lines of evidence suggest a potential role for CV therapies in COVID-19 treatment. Characteristics of clinical trials of CV therapies related to COVID-19 registered on ClinicalTrials.gov have not been described.

Methods

ClinicalTrials.gov was queried on August 7, 2020 for COVID-19 related trials. Studies evaluating established CV drugs, other fibrinolytics (defibrotide), and extracorporeal membrane oxygenation were included. Studies evaluating anti-microbial, convalescent plasma, non-colchicine anti-inflammatory, and other therapies were excluded. Trial characteristics were tabulated from study-specific entries.

Results

A total of 2,935 studies related to COVID-19 were registered as of August 7, 2020. Of these, 1,645 were interventional studies, and the final analytic cohort consisted of 114 studies evaluating 10 CV therapeutic categories. Antithrombotics (32.5%; n = 37) were most commonly evaluated, followed by pulmonary vasodilators (14.0%; n = 16), renin-angiotensin-aldosterone system-related therapies (12.3%; n = 14), and colchicine (8.8%; n = 10). Trials evaluating multiple CV therapy categories and CV therapies in combination with non-CV therapies encompassed 4.4% (n = 5) and 9.6% (n = 11) of studies, respectively. Most studies were designed for randomized allocation (87.7%; n = 100), enrollment of less than 1000 participants (86.8%; n = 99), single site implementation (55.3%; n = 63), and had a primary outcome of mortality or a composite including mortality (56.1%; n = 64). Most study populations consisted of patients hospitalized with COVID-19 (81.6%; n = 93). At the time of database query, 28.9% (n = 33) of studies were not yet recruiting and the majority were estimated to be completed after December 2020 (67.8%; n = 78). Most lead sponsors were located in North America (43.9%; n = 50) or Europe (36.0%; n = 41).

Conclusions

A minority (7%) of clinical trials related to COVID-19 registered on ClinicalTrials.gov plan to evaluate CV therapies. Of CV therapy studies, most were planned to be single center, enroll less than 1000 inpatients, sponsored by European or North American academic institutions, and estimated to complete after December 2020. Collectively, these findings underscore the need for a network of sites with a platform protocol for rapid evaluation of multiple therapies and generalizability to inform clinical care and health policy for COVID-19 moving forward.

Le texte complet de cet article est disponible en PDF.

Plan


 Padma Kaul, PhD served as guest editor for this article.


© 2020  Elsevier Inc. Tous droits réservés.
Ajouter à ma bibliothèque Retirer de ma bibliothèque Imprimer
Export

    Export citations

  • Fichier

  • Contenu

Vol 232

P. 105-115 - février 2021 Retour au numéro
Article précédent Article précédent
  • Shock in the cardiac intensive care unit: Changes in epidemiology and prognosis over time
  • Jacob C. Jentzer, Abdelrahman M. Ahmed, Saraschandra Vallabhajosyula, Barry Burstein, Meir Tabi, Gregory W. Barsness, Joseph G. Murphy, Patricia J. Best, Malcolm R. Bell
| Article suivant Article suivant
  • Sex and race differences in safety and effectiveness of the HEART pathway accelerated diagnostic protocol for acute chest pain
  • Anna C. Snavely, Nella Hendley, Jason P. Stopyra, Kristin M. Lenoir, Brian J. Wells, David M. Herrington, Brian C. Hiestand, Chadwick D. Miller, Simon A. Mahler

Bienvenue sur EM-consulte, la référence des professionnels de santé.

Mon compte


Plateformes Elsevier Masson

Déclaration CNIL

EM-CONSULTE.COM est déclaré à la CNIL, déclaration n° 1286925.

En application de la loi nº78-17 du 6 janvier 1978 relative à l'informatique, aux fichiers et aux libertés, vous disposez des droits d'opposition (art.26 de la loi), d'accès (art.34 à 38 de la loi), et de rectification (art.36 de la loi) des données vous concernant. Ainsi, vous pouvez exiger que soient rectifiées, complétées, clarifiées, mises à jour ou effacées les informations vous concernant qui sont inexactes, incomplètes, équivoques, périmées ou dont la collecte ou l'utilisation ou la conservation est interdite.
Les informations personnelles concernant les visiteurs de notre site, y compris leur identité, sont confidentielles.
Le responsable du site s'engage sur l'honneur à respecter les conditions légales de confidentialité applicables en France et à ne pas divulguer ces informations à des tiers.


Tout le contenu de ce site: Copyright © 2024 Elsevier, ses concédants de licence et ses contributeurs. Tout les droits sont réservés, y compris ceux relatifs à l'exploration de textes et de données, a la formation en IA et aux technologies similaires. Pour tout contenu en libre accès, les conditions de licence Creative Commons s'appliquent.