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Home   COVID-19 treatment studies for Vitamin D  COVID-19 treatment studies for Vitamin D  C19 studies: Vitamin D  Vitamin D   Select treatmentSelect treatmentTreatmentsTreatments
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0 0.25 0.5 0.75 1 1.25 1.5 1.75 2+ Mortality 17% Improvement Relative Risk Hospitalization 9% c19vitamind.com/hastie.html Favors vitamin D Favors control
26 August 2020 - Analysis of outcomes based on serum levels
Vitamin D concentrations and COVID-19 infection in UK Biobank
Hastie et al., Diabetes and Metabolic Syndrome: Clinical Research and Reviews, 14:4, 561–565, doi:10.1016/j.dsx.2020.04.050 (Peer Reviewed)
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Database analysis of 341,484 patients in the UK with 656 hospitalized confirmed COVID-19 patients and 203 deaths, not showing a statistically significant difference after adjustment. Since adjustment factors may be correlated with vitamin D deficiency, the extent of any causal contribution of both vitamin D and the adjustment factors is unclear.
There was an ~10 year time period between baseline 25(OH)D measurement and COVID-19 infection, with 84% concordance for a subsample with measurements ~4.3 years later. Vitamin D levels may change significantly across seasons and years. People that discovered they had low vitamin D levels may have been encouraged to take steps to correct the deficiency.
Davies et al. raise a number of concerns with this study [1], reporting that it lacked power, suffered low precision and high bias, used flawed models, and contained many serious statistical errors. 1. Mislabelled data artificially inflated the control set, creating an illusion of high power & precision in an underpowered data set study, 2. Logistic regression violated multiple prerequisite conditions, creating biased results and a further reduction of power (overfit, over-adjusted, poor variable types, and poor handling), and 3. Unreliable data in the logistic regressions caused regression dilution bias, bias amplification, and further loss of power and precision.
See also [2].
risk of death, 17.4% lower, RR 0.83, p = 0.31, adjusted per study, multivariable Cox.
risk of hospitalization, 9.1% lower, RR 0.91, p = 0.40, adjusted per study, multivariable Cox.
Effect extraction follows pre-specified rules prioritizing more serious outcomes.
Hastie et al., 8/26/2020, retrospective, population-based cohort, database analysis, United Kingdom, Europe, peer-reviewed, 14 authors.
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