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• W4220960199 abstract "This study aimed to contribute to the development of a research case definition for post-acute sequelae of SARS CoV-2 infection (PASC) using a PASC data set and experiences from case definitions developed for myalgic encephalomyelitis/chronic fatigue syndrome (ME/CFS). Our database included patients with PASC who provided self-report symptomology during the onset of infection and the time of survey completion (post-infection). We found that we could distinguish between those with mild, moderate, and severe PASC. Regarding the proportion meeting an ME/CFS case definition, we found 0% in the mildly impaired group, 30.6% to 62.6% in the moderately impaired group, and 74.3% to 89.0% in the severely impaired group. Based on these preliminary data, we propose a 5-part classification system for PASC. Axis 1 involves the variant of the COVID infection and the type of documentation of the infection. Axis 2 involves the time elapsed since infection. Axis 3 involves the type of medical collateral damage to different organs. Axis 4 involves functional impairment classified into three categories: mild, moderate, or severe. Finally, Axis 5 is the identified symptoms. Finally, if the patient has been sick for 6 or more months, it is important to determine whether the person has met the ME/CFS criteria. This proposed 5-part classification system for PASC might bring considerable clarity to diagnosing PASC." @default.
• W4220960199 created "2022-04-03" @default.
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• W4220960199 date "2022-03-29" @default.
• W4220960199 modified "2023-09-30" @default.
• W4220960199 title "A CLASSIFICATION SYSTEM FOR POST-ACUTE SEQUELAE OF SARS CoV-2 INFECTION" @default.
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• W4220960199 doi "https://doi.org/10.47316/cajmhe.2022.3.1.04" @default.
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