Long COVID: a review and proposed visualization of the complexity of long COVID

被引:57
作者
Perumal, Rubeshan [1 ,2 ,3 ]
Shunmugam, Letitia [1 ]
Naidoo, Kogieleum [1 ]
Abdool Karim, Salim S. S. [1 ]
Wilkins, Dave [3 ,4 ]
Garzino-Demo, Alfredo [3 ,5 ]
Brechot, Christian [3 ]
Parthasarathy, Sairam [6 ,7 ]
Vahlne, Anders [3 ,8 ]
Nikolich, Janko Z. [3 ,9 ,10 ,11 ]
机构
[1] South African Med Res Council SAMRC, Ctr AIDS Programme Res South Africa CAPRISA, CAPRISA HIV TB Pathogenesis & Treatment Res Unit, Durban, South Africa
[2] Univ KwaZulu Natal, Sch Clin Med, Nelson R Mandela Sch Med, Dept Pulmonol & Crit Care, Durban, South Africa
[3] Global Virus Network, Long COVID Taskforce, Baltimore, MD 21201 USA
[4] Univ Maryland, Sch Med, Inst Human Virol, Baltimore, MD USA
[5] Univ Padua, Dept Mol Med, Padua, Italy
[6] Div Pulm Allergy Crit Care & Sleep Med, Tucson, AZ USA
[7] Univ Arizona, Coll Med Tucson, Tucson, AZ USA
[8] Karolinska Inst, Div Clin Microbiol, Stockholm, Sweden
[9] Univ Arizona, Coll Med Tucson, Dept Immunobiol, Tucson, AZ 85721 USA
[10] Univ Arizona, Coll Med Tucson, Ctr Aging, Tucson, AZ 85721 USA
[11] Univ Arizona Hlth Sci, Aegis Consortium Pandem Free Future, Tucson, AZ 85721 USA
关键词
long COVID; long-haul COVID; post-acute sequelae of SARS-CoV-2; COVID-19; SARS-CoV-2; POST-ACUTE SEQUELAE; INFECTION; ADULTS; TACHYCARDIA; PERSISTENCE; SYMPTOMS; DISEASE; RISK;
D O I
10.3389/fimmu.2023.1117464
中图分类号
R392 [医学免疫学]; Q939.91 [免疫学];
学科分类号
100102 ;
摘要
Post-Acute Sequelae of Severe Acute Respiratory Syndrome Coronavirus - 2 (SARS-CoV-2) infection, or Long COVID, is a prevailing second pandemic with nearly 100 million affected individuals globally and counting. We propose a visual description of the complexity of Long COVID and its pathogenesis that can be used by researchers, clinicians, and public health officials to guide the global effort toward an improved understanding of Long COVID and the eventual mechanism-based provision of care to afflicted patients. The proposed visualization or framework for Long COVID should be an evidence-based, dynamic, modular, and systems-level approach to the condition. Furthermore, with further research such a framework could establish the strength of the relationships between pre-existing conditions (or risk factors), biological mechanisms, and resulting clinical phenotypes and outcomes of Long COVID. Notwithstanding the significant contribution that disparities in access to care and social determinants of health have on outcomes and disease course of long COVID, our model focuses primarily on biological mechanisms. Accordingly, the proposed visualization sets out to guide scientific, clinical, and public health efforts to better understand and abrogate the health burden imposed by long COVID.
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页数:18
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