25-hydroxyvitamin D is a predictor of COVID-19 severity of hospitalized patients Article Swipe
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· 2022
· Open Access
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· DOI: https://doi.org/10.1371/journal.pone.0268038
Objectives Studies investigating the association between vitamin D and severity of COVID-19 have mixed results perhaps due to immunoassay assessment of total 25-hydroxyvitamin D (tD) (the sum of 25-hydroxyvitamin-D2 [25-OH-D2] and 25-hydroxyvitamin-D3 [25-OH-D3]). Liquid chromatography tandem mass spectrometry (LC-MS/MS) has high analytical specificity and sensitivity for 25-OH-D2 and 25-OH-D3, and thus enables a more accurate assessment of impact on COVID-19 outcomes. Methods We established reference intervals for 25-OH-D3 and tD using LC-MS/MS. 25-OH-D2, 25-OH-D3 and tD were quantitated for 88 COVID-19 positive and 122 COVID-19 negative specimens. Chi-square or Fisher’s exact tests were used to test associations in binary variables. T-Tests or Wilcoxon rank sum tests were used for continuous variables. Cox proportional hazards were used to test associations between 25-OH-D3 or tD levels and length of stay (LOS). For mortality and ventilation, logistic regression models were used. Results COVID-19 patients with deficient (<20 ng/mL) levels of 25-OH-D3 had significantly longer LOS by 15.3 days. COVID-19 P patients with deficient (<20 ng/mL) and insufficient (<30 ng/mL) of tD had significantly longer LOS by 12.1 and 8.2 days, respectively. Patients with insufficient levels of tD had significantly longer LOS by 13.7 days. COVID-19 patients with deficient serum 25-OH-D3 levels had significantly increased risk-adjusted odds of in-hospital mortality (OR [95% CI]: 5.29 [1.53–18.24]); those with insufficient 25-OH-D3 had significantly increased risk for requiring ventilation during hospitalization was found at LCMS insufficient cutoff (OR [95% CI]: 2.75 [1.10–6.90]). Conclusions There is an inverse relationship of 25-hydroxyvitamin D levels and hospital LOS for COVID-19 patients. Vitamin D status is a predictor for severity of outcomes. LCMS results are useful for assessing the odds of mortality and the need for ventilation during hospitalization.
Related Topics
- Type
- article
- Language
- en
- Landing Page
- https://doi.org/10.1371/journal.pone.0268038
- https://journals.plos.org/plosone/article/file?id=10.1371/journal.pone.0268038&type=printable
- OA Status
- gold
- Cited By
- 48
- References
- 21
- Related Works
- 10
- OpenAlex ID
- https://openalex.org/W4225413470
Raw OpenAlex JSON
- OpenAlex ID
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https://openalex.org/W4225413470Canonical identifier for this work in OpenAlex
- DOI
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https://doi.org/10.1371/journal.pone.0268038Digital Object Identifier
- Title
-
25-hydroxyvitamin D is a predictor of COVID-19 severity of hospitalized patientsWork title
- Type
-
articleOpenAlex work type
- Language
-
enPrimary language
- Publication year
-
2022Year of publication
- Publication date
-
2022-05-03Full publication date if available
- Authors
-
Nguyen N. Nguyen, Muppala N. P. Raju, Briget da Graca, Dapeng Wang, Nada Mohamed, Manohar B. Mutnal, Arundhati Rao, Monica Bennett, Matthew Gokingco, Huy Pham, Amin A. MohammadList of authors in order
- Landing page
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https://doi.org/10.1371/journal.pone.0268038Publisher landing page
- PDF URL
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https://journals.plos.org/plosone/article/file?id=10.1371/journal.pone.0268038&type=printableDirect link to full text PDF
- Open access
-
YesWhether a free full text is available
- OA status
-
goldOpen access status per OpenAlex
- OA URL
-
https://journals.plos.org/plosone/article/file?id=10.1371/journal.pone.0268038&type=printableDirect OA link when available
- Concepts
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Medicine, Coronavirus disease 2019 (COVID-19), Vitamin D and neurology, Internal medicine, Logistic regression, Gastroenterology, Proportional hazards model, Odds ratio, Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), Infectious disease (medical specialty), DiseaseTop concepts (fields/topics) attached by OpenAlex
- Cited by
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48Total citation count in OpenAlex
- Citations by year (recent)
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2025: 1, 2024: 3, 2023: 40, 2022: 4Per-year citation counts (last 5 years)
- References (count)
-
21Number of works referenced by this work
- Related works (count)
-
10Other works algorithmically related by OpenAlex
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