V.I.T.A.M. in COVID 19: A Systematic Approach to a Global Pandemic
Autor: | Siva Naga S. Yarrarapu MBBS, Pankaj Bansal MD, David Abia-Trujillo MD, Austin Cusick DO, Megan Melody MD MS, Varun Moktan MD, Andrea Rivero DO, Tara J. Brigham AHIP, Claudia Libertin MD, Lisa Brumble MD, Jennifer J. O'Brien MD, Augustine Lee MD, Torp Klaus MD, Christan Santos APRN, Candido Rivera MD, Jason Siegel MD, Pramod Guru MBBS, MD, Pablo Moreno Franco MD, Devang Sanghavi MBBS, MD |
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Jazyk: | angličtina |
Rok vydání: | 2021 |
Předmět: | |
Zdroj: | Clinical Medicine Insights: Circulatory, Respiratory and Pulmonary Medicine, Vol 15 (2021) |
Druh dokumentu: | article |
ISSN: | 1179-5484 11795484 |
DOI: | 10.1177/11795484211047432 |
Popis: | Introduction In the unprecedented era of COVID-19, ongoing research and evolution of evidence has led to ever-changing guidelines for clinical monitoring and therapeutic options. Formulating treatment protocols requires the understanding and application of the evolving research. Objective The primary objective of this study is to present a systematic evidence-based approach to synthesize the necessary data in order to optimize the management of COVID-19. Methods At Mayo Clinic Florida, we developed a multidisciplinary centralized COVID Treatment Review Panel (TRP) of expert pulmonologists, intensivists, infectious disease specialists, anesthesiologists, hematologists, rheumatologists, and hospitalists that in real-time reviews the latest evidence in peer-reviewed journals, the available clinical trials, and help guide the rapid application of therapeutics or interventions to the patient and the bedside provider. Results/Conclusions The multi-disciplinary team approach of synthesizing clinical data and coordinating care is effective in responding to rapidly evolving and changing evidence. Systematic data collection and evidence-based treatment algorithms enable physicians to rapidly translate the current literature to clinical practice, and improve care and outcomes of patients. |
Databáze: | Directory of Open Access Journals |
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