| Title: | Complex patterns of multimorbidity associated with severe COVID-19 and long COVID |
| Journal: | Communications Medicine |
| Published: | 8 Jul 2024 |
| Pubmed: | https://pubmed.ncbi.nlm.nih.gov/38977844/ |
| DOI: | https://doi.org/10.1038/s43856-024-00506-x |
| URL: | http://dx.doi.org/10.1038/s43856-024-00506-x |
Publication 11690
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Abstract
BackgroundEarly evidence that patients with (multiple) pre-existing diseases are at highest risk for severe COVID-19 has been instrumental in the pandemic to allocate critical care resources and later vaccination schemes. However, systematic studies exploring the breadth of medical diagnoses are scarce but may help to understand severe COVID-19 among patients at supposedly low risk.MethodsWe systematically harmonized >12 million primary care and hospitalisation health records from ~500,000 UK Biobank participants into 1448 collated disease terms to systematically identify diseases predisposing to severe COVID-19 (requiring hospitalisation or death) and its post-acute sequalae, Long COVID.ResultsHere we identify 679 diseases associated with an increased risk for severe COVID-19 (n = 672) and/or Long COVID (n = 72) that span almost all clinical specialties and are strongly enriched in clusters of cardio-respiratory and endocrine-renal diseases. For 57 diseases, we establish consistent evidence to predispose to severe COVID-19 based on survival and genetic susceptibility analyses. This includes a possible role of symptoms of malaise and fatigue as a so far largely overlooked risk factor for severe COVID-19. We finally observe partially opposing risk estimates at known risk loci for severe COVID-19 for etiologically related diseases, such as post-inflammatory pulmonary fibrosis or rheumatoid arthritis, possibly indicating a segregation of disease mechanisms.ConclusionsOur results provide a unique reference that demonstrates how 1) complex co-occurrence of multiple - including non-fatal - conditions predispose to increased COVID-19 severity and 2) how incorporating the whole breadth of medical diagnosis can guide the interpretation of genetic risk loci.</p>
9 Authors
- Maik Pietzner
- Spiros Denaxas
- Summaira Yasmeen
- Maria A. Ulmer
- Tomoko Nakanishi
- Matthias Arnold
- Gabi Kastenmüller
- Harry Hemingway
- Claudia Langenberg
1 Application
| Application ID | Title |
|---|---|
| 44448 | The genetic and environmental determinants of cardiometabolic and related disorders. |
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