Addressing the post-acute sequelae of SARS-CoV-2 infection: a multidisciplinary model of care
- PMID: 34678213
- PMCID: PMC8525917
- DOI: 10.1016/S2213-2600(21)00385-4
Addressing the post-acute sequelae of SARS-CoV-2 infection: a multidisciplinary model of care
Abstract
As of July 31, 2021, SARS-CoV-2 had infected almost 200 million people worldwide. The growing burden of survivorship is substantial in terms of the complexity of long-term health effects and the number of people affected. Persistent symptoms have been reported in patients with both mild and severe acute COVID-19, including those admitted to the intensive care unit (ICU). Early reports on the post-acute sequelae of SARS-CoV-2 infection (PASC) indicate that fatigue, dyspnoea, cough, headache, loss of taste or smell, and cognitive or mental health impairments are among the most common symptoms. These complex, multifactorial impairments across the domains of physical, cognitive, and mental health require a coordinated, multidisciplinary approach to management. Decades of research on the multifaceted needs of and models of care for patients with post-intensive care syndrome provide a framework for the development of PASC clinics to address the immediate needs of both hospitalised and non-hospitalised survivors of COVID-19. Such clinics could also provide a platform for rigorous research into the natural history of PASC and the potential benefits of therapeutic interventions.
Copyright © 2021 Elsevier Ltd. All rights reserved.
Conflict of interest statement
Declaration of interests JM reports payment from Springer for the book Improving Critical Care Survivorship. CMS also reports royalties from Springer for the book Improving Critical Care Survivorship. MBB reports payment for educational materials from MedBridge, outside of the submitted work. AET reports payment for consulting from Medical Science Affiliates, outside of the submitted work. AMP, EB, BC, AVA, MTK, KC, CR, KFRS, SYK, and AK declare no competing interests.
Figures
References
-
- Johns Hopkins University & Medicine COVID-19 dashboard by the Center for Systems Science and Engineering (CSS) at Johns Hopkins University (JHU) https://coronavirus.jhu.edu/map.html
Publication types
MeSH terms
Grants and funding
LinkOut - more resources
Full Text Sources
Medical
Research Materials
Miscellaneous
