SARS冠状病毒感染急性后后遗症的分类系统

Leonard A. Jason, Mohammed F. Islam
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引用次数: 7

摘要

本研究旨在利用PASC数据集和肌痛性脑脊髓炎/慢性疲劳综合征(ME/CFS)病例定义的经验,为SARS CoV-2感染急性后后遗症(PASC)的研究病例定义做出贡献。我们的数据库包括在感染开始时和调查完成时(感染后)提供自我报告症状的PASC患者。我们发现我们可以区分轻度、中度和重度PASC。对于符合ME/CFS病例定义的比例,我们发现轻度受损组为0%,中度受损组为30.6% ~ 62.6%,重度受损组为74.3% ~ 89.0%。基于这些初步数据,我们提出了一个由5部分组成的PASC分类体系。轴1涉及COVID感染的变体和感染的文件类型。轴2涉及自感染以来经过的时间。轴3涉及不同器官的医学附带损伤类型。轴4涉及功能障碍,分为轻度、中度和重度三类。最后,轴5是已识别的症状。最后,如果患者已经患病6个月或更长时间,确定患者是否符合ME/CFS标准是很重要的。本文提出的PASC的五部分分类体系可能会使PASC的诊断更加清晰。
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A CLASSIFICATION SYSTEM FOR POST-ACUTE SEQUELAE OF SARS CoV-2 INFECTION
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.   
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