Vitamin D insufficiency as a potential culprit in critical COVID-19 patients.


Journal

Journal of medical virology
ISSN: 1096-9071
Titre abrégé: J Med Virol
Pays: United States
ID NLM: 7705876

Informations de publication

Date de publication:
02 2021
Historique:
received: 22 06 2020
revised: 21 07 2020
accepted: 23 07 2020
pubmed: 28 7 2020
medline: 15 1 2021
entrez: 28 7 2020
Statut: ppublish

Résumé

As an immune modulator, vitamin D has been implicated in the coronavirus disease-2019 (COVID-19) outcome. We aim to systematically explore the association of vitamin D serum levels with COVID-19 severity and prognosis. The standardized mean difference (SMD) or odds ratio and 95% confidence interval (CI) were applied to estimate pooled results from six studies. The prognostic performance of vitamin D serum levels for predicting adverse outcomes with detection of the best cutoff threshold was determined by receiver operating characteristic curve analysis. Decision tree analysis by combining vitamin D levels and clinical features was applied to predict severity in COVID-19 patients. Mean vitamin D serum level of 376 patients, was 21.9 nmol/L (95% CI = 15.36-28.45). Significant heterogeneity was found (I Serum vitamin D levels could be implicated in the COVID-19 prognosis. Diagnosis of vitamin D deficiency could be a helpful adjunct in assessing patients' potential of developing severe COVID-19. Appropriate preventative and/or therapeutic intervention may improve COVID-19 outcomes.

Sections du résumé

BACKGROUND
As an immune modulator, vitamin D has been implicated in the coronavirus disease-2019 (COVID-19) outcome. We aim to systematically explore the association of vitamin D serum levels with COVID-19 severity and prognosis.
METHODS
The standardized mean difference (SMD) or odds ratio and 95% confidence interval (CI) were applied to estimate pooled results from six studies. The prognostic performance of vitamin D serum levels for predicting adverse outcomes with detection of the best cutoff threshold was determined by receiver operating characteristic curve analysis. Decision tree analysis by combining vitamin D levels and clinical features was applied to predict severity in COVID-19 patients.
RESULTS
Mean vitamin D serum level of 376 patients, was 21.9 nmol/L (95% CI = 15.36-28.45). Significant heterogeneity was found (I
CONCLUSION
Serum vitamin D levels could be implicated in the COVID-19 prognosis. Diagnosis of vitamin D deficiency could be a helpful adjunct in assessing patients' potential of developing severe COVID-19. Appropriate preventative and/or therapeutic intervention may improve COVID-19 outcomes.

Identifiants

pubmed: 32716073
doi: 10.1002/jmv.26360
doi:

Substances chimiques

Biomarkers 0
Vitamin D 1406-16-2

Types de publication

Journal Article Meta-Analysis Systematic Review

Langues

eng

Sous-ensembles de citation

IM

Pagination

733-740

Commentaires et corrections

Type : CommentIn
Type : CommentIn

Informations de copyright

© 2020 Wiley Periodicals LLC.

Références

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Auteurs

Ruhul Munshi (R)

Division of Endocrine and Oncologic Surgery, Department of Surgery, School of Medicine, Tulane University, New Orleans, Louisiana, USA.

Mohammad H Hussein (MH)

Department of Surgery, School of Medicine, Tulane University, New Orleans, Louisiana, USA.

Eman A Toraih (EA)

Department of Surgery, School of Medicine, Tulane University, New Orleans, Louisiana, USA.
Genetics Unit, Department of Histology and Cell Biology, Faculty of Medicine, Suez Canal University, Ismailia, Egypt.

Rami M Elshazli (RM)

Department of Biochemistry and Molecular Genetics, Faculty of Physical Therapy, Horus University, New Damietta, Egypt.

Christina Jardak (C)

School of Medicine, Tulane University, New Orleans, Louisiana, USA.

Nasrin Sultana (N)

Department of Medicine, Larkin Community Hospital, South Miami, Florida, USA.

Mohanad R Youssef (MR)

Department of Surgery, School of Medicine, Tulane University, New Orleans, Louisiana, USA.

Mahmoud Omar (M)

Department of Surgery, School of Medicine, Tulane University, New Orleans, Louisiana, USA.

Abdallah S Attia (AS)

Department of Surgery, School of Medicine, Tulane University, New Orleans, Louisiana, USA.

Manal S Fawzy (MS)

Department of Medical Biochemistry and Molecular Biology, Faculty of Medicine, Suez Canal University, Ismailia, Egypt.
Department of Biochemistry, Faculty of Medicine, Northern Border University, Arar, Saudi Arabia.

Mary Killackey (M)

Department of Surgery, School of Medicine, Tulane University, New Orleans, Louisiana, USA.

Emad Kandil (E)

Division of Endocrine and Oncologic Surgery, Department of Surgery, School of Medicine, Tulane University, New Orleans, Louisiana, USA.

Juan Duchesne (J)

Department of Surgery, Trauma/Acute Care and Critical Care, School of Medicine, Tulane University, New Orleans, Louisiana, USA.

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