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Postacute COVID-19: An Overview and Approach to Classification.
Amenta, Eva M; Spallone, Amy; Rodriguez-Barradas, Maria C; El Sahly, Hana M; Atmar, Robert L; Kulkarni, Prathit A.
  • Amenta EM; General Internal Medicine, Department of Medicine, Baylor College of Medicine, Houston, Texas, USA.
  • Spallone A; Infectious Diseases Section, Department of Medicine, Baylor College of Medicine, Houston, Texas, USA.
  • Rodriguez-Barradas MC; Infectious Diseases Section, Department of Medicine, Baylor College of Medicine, Houston, Texas, USA.
  • El Sahly HM; Medical Care Line, Michael E. DeBakey Veterans Affairs Medical Center, Houston, Texas, USA.
  • Atmar RL; Infectious Diseases Section, Department of Medicine, Baylor College of Medicine, Houston, Texas, USA.
  • Kulkarni PA; Department of Molecular Virology and Microbiology, Baylor College of Medicine, Houston, Texas, USA.
Open Forum Infect Dis ; 7(12): ofaa509, 2020 Dec.
Article in English | MEDLINE | ID: covidwho-1010601
ABSTRACT
As the coronavirus disease 2019 (COVID-19) pandemic has progressed, a large volume of literature has developed delineating the clinical manifestations of acute infection. Recent reports have also started to describe persistent symptoms extending beyond the period of initial illness or hospitalization. Anecdotes of different signs and symptoms occurring after acute infection have also arisen in the lay press. Here we describe the current existing medical literature on the emerging concept of postacute COVID-19 and suggest an approach to classifying different manifestations of the syndrome. We also review long-term clinical manifestations observed in patients who recovered from infection due to other epidemic coronaviruses and briefly discuss potential mechanisms driving the phenomenon of postacute COVID-19.
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Full text: Available Collection: International databases Database: MEDLINE Type of study: Prognostic study Topics: Long Covid Language: English Journal: Open Forum Infect Dis Year: 2020 Document Type: Article Affiliation country: Ofid

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Full text: Available Collection: International databases Database: MEDLINE Type of study: Prognostic study Topics: Long Covid Language: English Journal: Open Forum Infect Dis Year: 2020 Document Type: Article Affiliation country: Ofid