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新冠疫情中的V.I.T.A.M.:应对全球大流行的系统方法

V.I.T.A.M. in COVID 19: A Systematic Approach to a Global Pandemic.

作者信息

Yarrarapu Siva Naga S, Bansal Pankaj, Abia-Trujillo David, Cusick Austin, Melody Megan, Moktan Varun, Rivero Andrea, Brigham Tara J, Libertin Claudia, Brumble Lisa, Jennifer J O'brein, Lee Augustine, Klaus Torp, Santos Christan, Rivera Candido, Siegel Jason, Guru Pramod, Franco Pablo Moreno, Sanghavi Devang

机构信息

Mayo Clinic Florida, 4500 San Pablo Rd S, Jacksonville, FL 32224.

Mayo Clinic Health System. 1400 Bellinger Street, Eau Claire, WI - 54701.

出版信息

Clin Med Insights Circ Respir Pulm Med. 2021 Oct 4;15:11795484211047432. doi: 10.1177/11795484211047432. eCollection 2021.

DOI:10.1177/11795484211047432
PMID:34629922
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC8493324/
Abstract

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.

摘要

引言

在新冠疫情这个前所未有的时代,持续的研究以及证据的演变导致临床监测和治疗选择的指南不断变化。制定治疗方案需要理解和应用不断发展的研究成果。

目的

本研究的主要目的是提出一种基于系统证据的方法来综合必要数据,以优化新冠疫情的管理。

方法

在佛罗里达州的梅奥诊所,我们组建了一个多学科的集中式新冠治疗审查小组(TRP),成员包括肺科专家、重症监护专家、传染病专家、麻醉师、血液学家、风湿病学家和住院医师。该小组实时审查同行评审期刊中的最新证据、现有的临床试验,并帮助指导将治疗方法或干预措施迅速应用于患者及床边医护人员。

结果/结论:综合临床数据并协调护理的多学科团队方法在应对快速演变和变化的证据方面是有效的。系统的数据收集和基于证据的治疗算法使医生能够迅速将当前文献转化为临床实践,并改善患者的护理和治疗结果。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d94e/8493324/0b3175cfaa0b/10.1177_11795484211047432-fig4.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d94e/8493324/2c01856a0e34/10.1177_11795484211047432-fig1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d94e/8493324/33319f74ad8a/10.1177_11795484211047432-fig2.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d94e/8493324/972db24b7cf2/10.1177_11795484211047432-fig3.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d94e/8493324/0b3175cfaa0b/10.1177_11795484211047432-fig4.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d94e/8493324/2c01856a0e34/10.1177_11795484211047432-fig1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d94e/8493324/33319f74ad8a/10.1177_11795484211047432-fig2.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d94e/8493324/972db24b7cf2/10.1177_11795484211047432-fig3.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d94e/8493324/0b3175cfaa0b/10.1177_11795484211047432-fig4.jpg

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