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Updated Clinical Practice Guidelines for the Diagnosis and Management of Long COVID.

Jun Won SeoSeong Eun KimYoon Jung KimEun-Jung KimTark KimTae Hwa KimSo Hee LeeEun Jung LeeJacob LeeYu Bin SeoYoung Hoon JeongYoung Hee JungYu Jung ChoiJoon Young Song
Published in: Infection & chemotherapy (2024)
"Long COVID" is a term used to describe a condition when the symptoms and signs associated with coronavirus disease 2019 (COVID-19) persist for more than three months among patients infected with COVID-19; this condition has been reported globally and poses a serious public health issue. Long COVID can manifest in various forms, highlighting the need for appropriate evaluation and management by experts from various fields. However, due to the lack of clear clinical definitions, knowledge of pathophysiology, diagnostic methods, and treatment protocols, it is necessary to develop the best standard clinical guidelines based on the scientific evidence reported to date. We developed this clinical guideline for diagnosing and treating long COVID by analyzing the latest research data collected from the start of the COVID-19 pandemic until June 2023, along with the consensus of expert opinions. This guideline provides recommendations for diagnosis and treatment that can be applied in clinical practice, based on a total of 32 key questions related to patients with long COVID. The evaluation of patients with long COVID should be comprehensive, including medical history, physical examination, blood tests, imaging studies, and functional tests. To reduce the risk of developing long COVID, vaccination and antiviral treatment during the acute phase are recommended. This guideline will be revised when there is a reasonable need for updates based on the availability of new knowledge on the diagnosis and treatment of long COVID.
Keyphrases
  • coronavirus disease
  • sars cov
  • clinical practice
  • public health
  • respiratory syndrome coronavirus
  • healthcare
  • physical activity
  • mass spectrometry
  • machine learning
  • deep learning