https://orcid.org/0000-0003-4731-4755
![Sample our Medicine, Dentistry, Nursing & Allied Health journals, sign in here to start your FREE access for 14 days]({"type":"image" , "src" : "/sda/5944/TOC-Subject-Sample-2021-Medicine-Dentistry-Nursing-Allied-Health.jpg"})
Abstract
Objective
To evaluate the relationship between 25-hydroxy vitamin D (25(OH)D) levels and disease severity in hospitalized COVID-19 positive pregnant women
Methods
The COVID-19 (+) pregnant women (confirmed by PCR test) were classified as asymptomatic, mild symptomatic, and severe disease according to their symptoms and laboratory results. Severe COVID-19 criteria were respiratory symptoms and/or findings. The following laboratory results were considered as poor prognostic factors: the number of lymphocytes <800/µl and/or CRP value >10 times the upper limit of the normal range and/or ferritin value >500 ng/ml and/or D-Dimer value >1000 µg/l. The patients were divided into two groups; asymptomatic or mild symptomatic group (Group 1), and severe disease and/or poor prognostic factor group (Group 2). The 25(OH)D levels were compared between groups. ROC curve analysis was used to analyze the cutoff value for vitamin D to predict the severity of COVID-19.
Results
25(OH)D levels were found to be statistically significantly lower in group 2 (15.5 (10.25) ng/ml in Group 1, 13 (12) ng/ml in Group 2, p = .010). The 25(OH)D level under 14.5 ng/ml was associated with severe COVID-19 and/or poor prognostic factors (p = .010). The risk of severe COVID-19 and/or having poor prognostic factors was 1.87 times higher among pregnant women who had 25(OH)D levels below 14.5 ng/ml. This value was found to have 54.1% sensitivity and 61.3% specificity in predicting severe COVID-19 and/or poor prognostic laboratory findings in pregnant women
Conclusion
There is a relationship between vitamin D status and the severity of COVID-19 in pregnant women. During the pandemic period, vitamin D supplementation for pregnant women should gain more importance.
Keywords:
Acknowledgement
For statistical analysis, we would like to thank Assistant Prof Dr. Mesut Akyol (Ankara Yıldırım Beyazıt University, Biostatistics and Medical Informatics).
Disclosure statement
No potential conflict of interest was reported by the author(s).