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The DOI matches its Crossref record; 107 of the 107 references it cites were found in a registry or an index.

Pathological sequelae of long-haul COVID

Open access
Mehandru, Saurabh, Merad, Miriam·2022·Nature Immunology

Abstract

The world continues to contend with successive waves of coronavirus disease 2019 (COVID-19), fueled by the emergence of viral variants. At the same time, persistent, prolonged and often debilitating sequelae are increasingly recognized in convalescent individuals, named ‘post-COVID-19 syndrome’ or ‘long-haul COVID’. Clinical symptomatology includes fatigue, malaise, dyspnea, defects in memory and concentration and a variety of neuropsychiatric syndromes as the major manifestations, and several organ systems can be involved. The underlying pathophysiological mechanisms are poorly understood at present. This Review details organ-specific sequelae of post-COVID-19 syndromes and examines the underlying pathophysiological mechanisms available so far, elaborating on persistent inflammation, induced autoimmunity and putative viral reservoirs. Finally, we propose diagnostic strategies to better understand this heterogeneous disorder that continues to afflict millions of people worldwide. It is increasingly obvious that individuals are experiencing post-COVID-19 syndromes, or ‘long-haul COVID’. Here, Merad and Mehandru eview currently available knowledge of the underlying pathophysiological mechanisms of these sequelae, elaborating on persistent inflammation, induced autoimmunity and putative viral reservoirs.

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Metadata

Authors
Mehandru, S., & Merad, M.
Venue
Nature Immunology
Published
2022-02
Volume
23
Issue
2
Pages
194-202
ISSN
  • 1529-2908 (ISSN-L)
  • 1529-2916
OpenAlex
W4210242202
Cited by
657
References
107
FWCI
71.79
Type
journal article
Language
en
Open access
bronze

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CoChat. (2026). Citation check: Pathological sequelae of long-haul COVID. https://app.cochat.ai/papers/10.1038/s41590-021-01104-y
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Mehandru, S., & Merad, M. (2022). Pathological sequelae of long-haul COVID. Nature Immunology. https://doi.org/10.1038/s41590-021-01104-y

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