Covid-19: risk factors for severe disease and death
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A long list is emerging from largely unadjusted analyses, with age near the top
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Approximately 70% of COVID-19 deaths occur from ARDS, with age being one of the most significant risk factors.
“Approximately 70% of COVID‐19 deaths are reported to occur from ARDS with age being one of the most significant risk factors (Hojyo et al, 2020; Jordan et al, 2020).”
From The struggle of a good friend getting old: cellular senescence in viral responses and therapy (2021) · cites this paper as Jordan et al, 2020
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- Authors
- Jordan, R. E., Adab, P., & Cheng, K. K.
- Affiliations
- University of Birmingham (GB)
- Corresponding author
- Jordan, Rachel E
- Venue
- BMJ
- Publisher
- BMJ
- Published
- 2020-03-26
- Volume
- 368
- Pages
- m1198
- ISSN
- 1756-1833 (ISSN-L)
- OpenAlex
- W3012690941
- Cited by
- 1,653
- References
- 16
- Citations by year
- 2026: 19 · 2025: 44 · 2024: 78 · 2023: 166 · 2022: 336 · 2021: 552 · 2020: 456 · 2019: 1
- Type
- journal article
- Language
- en
- Open access
- bronze
- doi.org
- Licence
- www.bmj.com/company/legal-information/terms-conditions/legal-information/tdm-licencepolicy (tdm)
- Locations
- BMJ (publishedVersion)
- PubMed (publishedVersion)
- HighWire Press Open Archive (submittedVersion)
- University of Birmingham Research Portal (University of Birmingham) (submittedVersion)
- Topics
- Health Sciences › Medicine › Infectious Diseases › COVID-19 Clinical Research Studies
- Health Sciences › Medicine › Infectious Diseases › SARS-CoV-2 and COVID-19 Research
- Physical Sciences › Mathematics › Modeling and Simulation › COVID-19 epidemiological studies
- Keywords
- COVID-19 pandemic, risk factors, severe illness, mortality, age
- MeSH terms
- Betacoronavirus, COVID-19, SARS-CoV-2, Humans, Pneumonia, Viral, Retrospective Studies, Risk Factors, Coronavirus, Coronavirus Infections, Pandemics
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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.
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