Encephalopathy in patients with COVID‐19: A review
Abstract
Encephalopathy and encephalitis are major and devastating severe acute respiratory syndrome coronavirus‐2 (SARS‐CoV‐2) virus‐associated central nervous system complications. Hypoxic/metabolic changes produced by intense inflammatory response against the virus triggers cytokine storm and subsequently acute respiratory distress syndrome and multiple organ failure. Hypoxic/metabolic changes result in encephalopathy. The presence of comorbidities predisposes to hypoxic/metabolic changes responsible for encephalopathy. Altered consciousness, ranging from mild confusion, delirium, to deep coma, is hallmark clinical features. Cortical and subcortical T2/FLAIR signal changes are common neuroimaging abnormalities. In a few isolated case reports of SARS‐CoV‐2 encephalitis, the virus has been demonstrated in cerebrospinal fluid. The presence of anosmia and ageusia can help in differentiation from other encephalopathies. We analyzed published reports on coronavirus disease 2019‐associated encephalopathy. Encephalopathy is common in older patients, the majority are more than 50 years of age. The patients having encephalopathy/encephalitis are either severely or critically ill. Many patients were already on mechanical ventilation. Lung abnormalities are noted in almost all of the patients, presenting with encephalopathy. Encephalopathy is always preceded by commoner clinical features, like, fever, cough, dyspnoea, and headache. In majority, patients are already in the intensive care unit, when encephalopathy develops.
Integrity signals
Registry
Cites
Statistics
Claims the paper makes
Claims other papers make about this one
Each is checked against this paper’s own text: does it say what the citing paper says it does?
Most studies on cognitive changes following SARS-CoV-2 infection focused on acute changes, mainly acute encephalopathy.
“Most studies on cognitive changes following SARS-CoV-2 infection focused on acute changes, mainly acute encephalopathy [137–139].”
From Cognitive decline following acute viral infections: literature review and projections for post-COVID-19 (2022) · cites this paper as [138]
The citation lists haven’t been fetched yet
References 87 · Cited by 224
- Authors
- Garg, R. K., Paliwal, V. K., & Gupta, A.
- Affiliations
- King George's Medical University (IN)
- Sanjay Gandhi Post Graduate Institute of Medical Sciences (IN)
- Corresponding author
- Garg, Ravindra Kumar
- Venue
- Journal of Medical Virology
- Publisher
- Wiley
- Published
- 2020-07-11
- Volume
- 93
- Issue
- 1
- Pages
- 206-222
- ISSN
- 0146-6615 (ISSN-L)
- 1096-9071
- OpenAlex
- W3036301913
- Cited by
- 224
- References
- 87
- Citations by year
- 2026: 5 · 2025: 7 · 2024: 23 · 2023: 41 · 2022: 54 · 2021: 72 · 2020: 22
- FWCI
- 5.32
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- Journal of Medical Virology (publishedVersion)
- PubMed (publishedVersion)
- Topics
- Health Sciences › Medicine › Neurology › Long-Term Effects of COVID-19
- Health Sciences › Medicine › Infectious Diseases › Infectious Encephalopathies and Encephalitis
- Health Sciences › Medicine › Infectious Diseases › COVID-19 Clinical Research Studies
- Keywords
- COVID-19 pandemic, SARS-CoV-2, encephalopathy, encephalitis, central nervous system complications, hypoxia, metabolic encephalopathy, cytokine storm, acute respiratory distress syndrome, multiple organ failure, altered states of consciousness, delirium, coma, anosmia, ageusia, cerebrospinal fluid viral detection, neuroimaging abnormalities, mechanical ventilation, intensive care unit, comorbidities
- MeSH terms
- COVID-19, Age Factors, Ageusia, Brain Diseases, Critical Care, Headache, Humans, Critical Illness
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review