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Positive Effects of Vitamin D Supplementation in Patients Hospitalized for COVID-19: A Randomized, Double-Blind, Placebo-Controlled Trial.
De Niet, S, Trémège, M, Coffiner, M, Rousseau, AF, Calmes, D, Frix, AN, Gester, F, Delvaux, M, Dive, AF, Guglielmi, E, et al
Nutrients. 2022;14(15)
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Literature shows that having enough vitamin D can help prevent many diseases, such as heart disease, bone disease and cancer. Recent data also showed that vitamin D can reduce the risk of respiratory tract infections, and particularly, the risk of viral infections. The aim of this study was to assess whether the proposed dosing regimen of a daily dose of 25,000 international units (IU) vitamin D administered over 4 consecutive days, followed by a weekly dose of 25,000 IU, was adequate to rapidly increase the concentrations of calcifediol in patients hospitalized with COVID-19 and to explore its impact on hospital length and other clinical outcomes of the disease. This study is an interventional, randomized, parallel, two-treatment, two-arm, double-blind and placebo-controlled pilot study, carried out in one clinical site in Belgium. The patients (n=50) were randomized in the two different treatment groups (vitamin D (n=26) or placebo (n=24)). Patients participated in the study for a maximum of 9 weeks, including an up to 6-week treatment period and a maximum of 3-week follow-up period. Results show that the study’s regimen was adequate to rapidly raise the calcifediol level above 20 ng/mL and improve the clinical outcome of patients requiring hospitalization for COVID-19. In fact, administration of cholecalciferol significantly reduced the hospital length of stay, reduced the duration of supplemental oxygen and improved the clinical status assessed by the World Health Organisation scale. Authors conclude that further studies with a larger number of patients are needed in order to further confirm their study’s findings.
Abstract
Retrospective studies showed a relationship between vitamin D status and COVID-19 severity and mortality, with an inverse relation between SARS-CoV-2 positivity and circulating calcifediol levels. The objective of this pilot study was to investigate the effect of vitamin D supplementation on the length of hospital stay and clinical improvement in patients with vitamin D deficiency hospitalized with COVID-19. The study was randomized, double blind and placebo controlled. A total of 50 subjects were enrolled and received, in addition to the best available COVID therapy, either vitamin D (25,000 IU per day over 4 consecutive days, followed by 25,000 IU per week up to 6 weeks) or placebo. The length of hospital stay decreased significantly in the vitamin D group compared to the placebo group (4 days vs. 8 days; p = 0.003). At Day 7, a significantly lower percentage of patients were still hospitalized in the vitamin D group compared to the placebo group (19% vs. 54%; p = 0.0161), and none of the patients treated with vitamin D were hospitalized after 21 days compared to 14% of the patients treated with placebo. Vitamin D significantly reduced the duration of supplemental oxygen among the patients who needed it (4 days vs. 7 days in the placebo group; p = 0.012) and significantly improved the clinical recovery of the patients, as assessed by the WHO scale (p = 0.0048). In conclusion, this study demonstrated that the clinical outcome of COVID-19 patients requiring hospitalization was improved by administration of vitamin D.
2.
Development of a clinical decision support system for severity risk prediction and triage of COVID-19 patients at hospital admission: an international multicentre study.
Wu, G, Yang, P, Xie, Y, Woodruff, HC, Rao, X, Guiot, J, Frix, AN, Louis, R, Moutschen, M, Li, J, et al
The European respiratory journal. 2020;(2)
Abstract
BACKGROUND The outbreak of coronavirus disease 2019 (COVID-19) has globally strained medical resources and caused significant mortality. OBJECTIVE To develop and validate a machine-learning model based on clinical features for severity risk assessment and triage for COVID-19 patients at hospital admission. METHOD 725 patients were used to train and validate the model. This included a retrospective cohort from Wuhan, China of 299 hospitalised COVID-19 patients from 23 December 2019 to 13 February 2020, and five cohorts with 426 patients from eight centres in China, Italy and Belgium from 20 February 2020 to 21 March 2020. The main outcome was the onset of severe or critical illness during hospitalisation. Model performances were quantified using the area under the receiver operating characteristic curve (AUC) and metrics derived from the confusion matrix. RESULTS In the retrospective cohort, the median age was 50 years and 137 (45.8%) were male. In the five test cohorts, the median age was 62 years and 236 (55.4%) were male. The model was prospectively validated on five cohorts yielding AUCs ranging from 0.84 to 0.93, with accuracies ranging from 74.4% to 87.5%, sensitivities ranging from 75.0% to 96.9%, and specificities ranging from 55.0% to 88.0%, most of which performed better than the pneumonia severity index. The cut-off values of the low-, medium- and high-risk probabilities were 0.21 and 0.80. The online calculators can be found at www.covid19risk.ai. CONCLUSION The machine-learning model, nomogram and online calculator might be useful to access the onset of severe and critical illness among COVID-19 patients and triage at hospital admission.