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Complex patterns of multimorbidity associated with severe COVID-19 and long COVID

Pietzner et al., Communications Medicine, doi:10.1038/s43856-024-00506-x
Jul 2024  
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Mortality 55% Improvement Relative Risk Hospitalization 53% Severe respiratory failure 25% PASC 56% Vitamin D for COVID-19  Pietzner et al.  Sufficiency Are vitamin D levels associated with COVID-19 outcomes? Retrospective study in the United Kingdom Lower mortality (p<0.0001) and hospitalization (p<0.0001) c19early.org Pietzner et al., Communications Medicine, Jul 2024 Favorsvitamin D Favorscontrol 0 0.5 1 1.5 2+
Vitamin D for COVID-19
8th treatment shown to reduce risk in October 2020, now with p < 0.00000000001 from 122 studies, recognized in 9 countries.
No treatment is 100% effective. Protocols combine treatments.
5,100+ studies for 112 treatments. c19early.org
Retrospective 502,460 UK Biobank participants identifying many pre-existing conditions associated with increased risk of severe COVID-19 and long COVID, including vitamin D deficiency.
This is the 202nd of 211 COVID-19 sufficiency studies for vitamin D, which collectively show higher levels reduce risk with p<0.0000000001 (1 in 248,027,826 vigintillion).
risk of death, 55.4% lower, HR 0.45, p < 0.001, cutoff 25nmol/L, inverted to make HR<1 favor high D levels (≥25nmol/L), Cox proportional hazards.
risk of hospitalization, 52.6% lower, HR 0.47, p < 0.001, cutoff 25nmol/L, inverted to make HR<1 favor high D levels (≥25nmol/L), Cox proportional hazards.
severe respiratory failure, 24.8% lower, HR 0.75, p = 0.05, cutoff 25nmol/L, inverted to make HR<1 favor high D levels (≥25nmol/L), Cox proportional hazards.
risk of PASC, 56.1% lower, HR 0.44, p < 0.001, cutoff 25nmol/L, inverted to make HR<1 favor high D levels (≥25nmol/L), Cox proportional hazards.
Effect extraction follows pre-specified rules prioritizing more serious outcomes. Submit updates
Pietzner et al., 8 Jul 2024, retrospective, United Kingdom, peer-reviewed, 9 authors. Contact: maik.pietzner@bih-charite.de, h.hemingway@ucl.ac.uk, claudia.langenberg@qmul.ac.uk.
This PaperVitamin DAll
Complex patterns of multimorbidity associated with severe COVID-19 and long COVID
Maik Pietzner, Spiros Denaxas, Summaira Yasmeen, Maria A Ulmer, Tomoko Nakanishi, Matthias Arnold, Gabi Kastenmüller, Harry Hemingway, Claudia Langenberg
Communications Medicine, doi:10.1038/s43856-024-00506-x
Background Early 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. Methods We 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. Results Here 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. Conclusions Our results provide a unique reference that demonstrates how 1) complex cooccurrence of multipleincluding non-fatalconditions predispose to increased COVID-19 severity and 2) how incorporating the whole breadth of medical diagnosis can guide the interpretation of genetic risk loci. From the outset of the COVID-19 pandemic it was evident that underlying conditions were associated with both the risk of infection with SARS-CoV-2, the cause of COVID-19, and the risk of it being severe, based on the risk of hospitalisation, to ventilation and death 1 . Initial focus was on the small number of diseases known to put people at higher risk of other respiratory viral infections, such as influenza. The Center for Disease Control in the US and other national bodies published lists of diseases associated with COVID-19 and in the UK more than 1 million people were identified as
Competing interests The authors declare no competing interests. Additional information Supplementary information The online version contains supplementary material available at https://doi.org/10.1038/s43856-024-00506-x. Correspondence and requests for materials should be addressed to Maik Pietzner, Harry Hemingway or Claudia Langenberg. Peer review information Communications Medicine thanks Marie Pigeyre and the other, anonymous, reviewer(s) for their contribution to the peer review of this work. A peer review file is available. Reprints
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Please send us corrections, updates, or comments. c19early involves the extraction of 100,000+ datapoints from thousands of papers. Community updates help ensure high accuracy. Treatments and other interventions are complementary. All practical, effective, and safe means should be used based on risk/benefit analysis. No treatment or intervention is 100% available and effective for all current and future variants. We do not provide medical advice. Before taking any medication, consult a qualified physician who can provide personalized advice and details of risks and benefits based on your medical history and situation. FLCCC and WCH provide treatment protocols.
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