Abstract
Vitamin D level has an important role in bone and mineral metabolic. A deficiency of this vitamin is largely described in safe persons, but less studied in hospitalized patients. Recently, we can observe an increase in vitamin D tests above the worldwide due to a possible influence of vitamin D deficiency in several diseases, with the important costs to healthcare systems.
The main purpose of this study is the prediction of vitamin D levels and understand how this vitamin correlates with some biochemical parameters. The participants of this study are patients from the nephrology department of the CHU Mohamed VI in the northeast of Morocco (October 2015 and June 2017), these patients have a valid value for vitamin D and other biochemical parameters such as High-Density Lipoprotein Cholesterol (HDL-C), Albumin among others. Furthermore, the population contains 141 men and 157 women aged in the average (standard deviation) of 53 (17) and 55(18) years respectively. A Spearman coefficient correlation was calculated to evaluate the correlation between all these parameters. Besides, an ordinal logistic regression was performed to determine the association between vitamin D and biochemical parameters. And a nonlinear effect of continuous variables was performed with a restricted cubic spline.
The vitamin D levels vary according to gender. About 96% of patients had a hypovitaminosis D. A little less than the half of them had a vitamin D deficiency. In unadjusted ordinal regression, Sex, albumin, ASAT, total bilirubin, calcium, total protein, alkaline reserve, sodium, and free T4 hormone have a positive association with the odds of being in an upper vitamin D category. Otherwise, PTH bio intact had a nonlinear relationship with vitamin D status. The area under the curve predicting the vitamin D status was 0.85 with the ordinal spline regression model versus 0.81 with the ordinal regression model.
This model had could predict the vitamin D status in hospitalized population, but it needs complement information about patients which are essential for the prediction of vitamin D status like clinical variables.
To sum up, vitamin D deficiency was highly prevalent in hospitalized patients of the nephrology department despite the sunny weather in Morocco.
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Bechrouri, S., Monir, A., Mraoui, H., Sebbar, EH., Saalaoui, E., Choukri, M. (2019). Predictive Analytics for Determining Patients’ Vitamin D Status. In: Farhaoui, Y., Moussaid, L. (eds) Big Data and Smart Digital Environment. ICBDSDE 2018. Studies in Big Data, vol 53. Springer, Cham. https://doi.org/10.1007/978-3-030-12048-1_32
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DOI: https://doi.org/10.1007/978-3-030-12048-1_32
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