Postacute Sequelae of SARS-CoV-2 Infection-Lessons Learned From a Coordinated Health System Response.
| Autor: | Ganesh R; Division of General Internal Medicine, Mayo Clinic, Rochester, MN., Vanichkachorn GS; Division of Preventative Medicine, Mayo Clinic, Rochester, MN., Munipalli B; Division of General Internal Medicine, Mayo Clinic, Jacksonville, FL., Hanson SN; Mayo Clinic Health Systems, Mankato, MN., Abu Dabrh AM; Division of General Internal Medicine, Mayo Clinic, Jacksonville, FL., Croghan IT; Division of General Internal Medicine, Mayo Clinic, Rochester, MN., Dawson NL; Division of General Internal Medicine, Mayo Clinic, Jacksonville, FL., Hurt RT; Division of General Internal Medicine, Mayo Clinic, Rochester, MN. |
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| Jazyk: | angličtina |
| Zdroj: | Mayo Clinic proceedings. Innovations, quality & outcomes [Mayo Clin Proc Innov Qual Outcomes] 2022 Aug; Vol. 6 (4), pp. 311-319. Date of Electronic Publication: 2022 Jun 01. |
| DOI: | 10.1016/j.mayocpiqo.2022.05.007 |
| Abstrakt: | Objective: To outline a consensus-designed process for triaging and managing patients with post-coronavirus disease (COVID-19) syndrome at Mayo Clinic. Patients and Methods: We convened a central multidisciplinary team including members from the departments of general internal medicine, occupational medicine, physical medicine and rehabilitation, psychology, allergy and immunology, infectious disease, pulmonology, neurology, cardiology, and pediatrics and otorhinolaryngology with membership from all Mayo Clinic sites in Arizona, Florida, Iowa, Minnesota, and Wisconsin. Results: Consensus recommendations were made for the best practice guidelines on triaging and managing patients. Several innovations were agreed upon, including a postacute sequelae of COVID-19-specific appointment request form for data collection, a bioregistry, a biorepository, and a postacute sequelae of COVID-19-specific treatment program. Conclusion: Given that each clinical site had individual clinical practices, these recommendations were implemented using different models, which may provide broad applicability to other clinical settings. (© 2022 The Authors.) |
| Databáze: | MEDLINE |
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