Clinical nutrition ESPEN · 2022
A validated screening tool correctly identifies the majority of pregnant women at high risk of vitamin D deficiency.
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Bärebring Linnea, Amberntsson Anna, Augustin Hanna
Аннотация
BACKGROUND & AIM: The objective was to develop and validate a non-invasive screening tool to identify pregnant women at high risk of vitamin D deficiency.
METHODS: Data from the Swedish prospective cohort GraviD, 2125 pregnant women, were randomly split in halves; one for developing the screening tool, and one for validation. Risk factors of vitamin D deficiency (serum 25-hydroxyvitamin D < 30 nmol/L) were identified using logistic regression analyses and odds ratios were translated into scores. Cutt offs to indicate high risk of vitamin D deficiency were evaluated by receiver operator characteristics.
RESULTS: Five variables (season, clothing, eye color, fortified milk intake and vitamin D supplement use) were included in the screening tool. The possible total score was 0-42. Mean (95% CI) area under the curve for classification of vitamin D deficiency was 0.921 (0.893-0.948) (p < 0.001). A score of ≥15 points had 92% sensitivity and 76% specificity to identify women with 25OHD <30 nmol/L. This cut off had a positive predictive value of 31% and a negative predictive value of 99%.
CONCLUSION: This short non-invasive screening tool is valid as it correctly identified the majority of the vitamin D deficient pregnant women, who may benefit from further investigation for definite diagnosis and subsequent treatment.
METHODS: Data from the Swedish prospective cohort GraviD, 2125 pregnant women, were randomly split in halves; one for developing the screening tool, and one for validation. Risk factors of vitamin D deficiency (serum 25-hydroxyvitamin D < 30 nmol/L) were identified using logistic regression analyses and odds ratios were translated into scores. Cutt offs to indicate high risk of vitamin D deficiency were evaluated by receiver operator characteristics.
RESULTS: Five variables (season, clothing, eye color, fortified milk intake and vitamin D supplement use) were included in the screening tool. The possible total score was 0-42. Mean (95% CI) area under the curve for classification of vitamin D deficiency was 0.921 (0.893-0.948) (p < 0.001). A score of ≥15 points had 92% sensitivity and 76% specificity to identify women with 25OHD <30 nmol/L. This cut off had a positive predictive value of 31% and a negative predictive value of 99%.
CONCLUSION: This short non-invasive screening tool is valid as it correctly identified the majority of the vitamin D deficient pregnant women, who may benefit from further investigation for definite diagnosis and subsequent treatment.