Why the elderly appear to be more severely affected by COVID‐19: The potential role of immunosenescence and CMV
Open accessAbstract
Summary: The significantly higher mortality rates seen in the elderly compared with young children during the coronavirus disease 2019 (Covid‐19) pandemic is likely to be driven in part by an impaired immune response in older individuals. Cytomegalovirus (CMV) seroprevalence approaches 80% in the elderly. CMV has been shown to accelerate immune ageing by affecting peripheral blood T cell phenotypes and increasing inflammatory mediated cytokines such as IL‐6. The elderly with pre‐existing but clinically silent CMV infection may therefore be particularly susceptible to severe Covid‐19 disease and succumb to a cytokine storm which may have been promoted by CMV. Here, we evaluate the potential role of CMV in those with severe Covid‐19 disease and consider how this relationship can be investigated in current research studies.
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
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?
CMV serostatus has been associated with poorer responses to vaccination and infections.
“CMV serostatus has been associated with poorer responses to vaccination and infections 15,16 .”
From Age-related immune response heterogeneity to SARS-CoV-2 vaccine BNT162b2 (2021) · cites this paper as [16]
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
The citation lists haven’t been fetched yet
References 42 · Cited by 118
- Authors
- Kadambari, S., Klenerman, P., & Pollard, A. J.
- Affiliations
- University of Oxford (GB)
- Corresponding author
- Kadambari, Seilesh
- Venue
- Reviews in Medical Virology
- Publisher
- Wiley
- Published
- 2020-07-15
- Volume
- 30
- Issue
- 5
- Pages
- e2144-e2144
- ISSN
- 1052-9276 (ISSN-L)
- 1099-1654
- PMC
- PMC7404358
- OpenAlex
- W3042182340
- Cited by
- 118
- References
- 42
- Citations by year
- 2025: 11 · 2024: 16 · 2023: 19 · 2022: 33 · 2021: 30 · 2020: 9
- FWCI
- 3.31
- Type
- journal article
- Language
- en
- Open access
- hybrid
- doi.org
- Licence
- Locations
- Reviews in Medical Virology (publishedVersion, cc-by)
- PubMed Central (publishedVersion, cc-by)
- PubMed (publishedVersion)
- Funders
- Wellcome Trust (109965/Z/15/Z)
- National Institute for Health and Care Research (NF-SI-0617-10036, NF-SI-0515-10005)
- Topics
- Health Sciences › Medicine › Epidemiology › Cytomegalovirus and herpesvirus research
- Health Sciences › Medicine › Infectious Diseases › COVID-19 Clinical Research Studies
- Health Sciences › Medicine › Infectious Diseases › SARS-CoV-2 and COVID-19 Research
- Keywords
- COVID-19 pandemic, immunosenescence, cytomegalovirus, older adults, T cell phenotype, cytokine storm, interleukin-6, inflammatory cytokines
- MeSH terms
- Immunosenescence, Betacoronavirus, Cytokine Release Syndrome, COVID-19, SARS-CoV-2, Age Factors, Aged, Child, Cytomegalovirus Infections, Cytomegalovirus, Humans, Pneumonia, Viral, Severity of Illness Index, T-Lymphocytes, Survival Analysis, Seroepidemiologic Studies, Cytokines, Coronavirus Infections, Disease Progression, Pandemics, Coinfection
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