Vitamin D supplementation in pregnancy: A word of caution. Familial hypercalcaemia due to disordered vitamin D metabolism
Bibliographic record
Abstract
Disorders of vitamin D metabolism have only recently become more widely recognized. In 2011, a series reported six children with familial idiopathic infantile hypercalcaemia, a condition in which patients develop hypercalcaemia following bolus vitamin D supplementation due to mutations in CYP24A1, formerly known as 24-hydroxylase. This is the chief enzyme in the catabolism of 1,25-dihydroxyvitamin D 3 (calcitriol) to inactive 1,24,25-(OH) 3 D 3 . Isolated cases of loss of function CYP24A1 mutations have been reported across a wide spectrum of ages, including three cases first identified during pregnancy in the context of vitamin D supplementation. We describe a family in which two siblings had hypercalcaemia due to a disorder of calcitriol catabolism as a result of compound heterozygous loss of function mutations of CYP24A1, including a novel mutation K351Nfs*21. The index case, who has kindly given written informed consent for this report, was a female in her mid-20s presenting with symptomatic hypercalcaemia precipitated by vitamin D supplementation in her first pregnancy. In a subsequent pregnancy, she remained normocalcaemic in the absence of supplementation. Her asymptomatic brother was identified through cascade screening. Upregulation of calcitriol production in pregnancy, particularly when combined with vitamin D supplementation, can unmask previously unidentified disorders of vitamin D metabolism. This report emphasizes the importance of screening of family members and the need for caution with vitamin D supplementation in pregnancy.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.006 | 0.038 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.003 | 0.002 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.002 | 0.005 |
| Scholarly communication | 0.003 | 0.005 |
| Open science | 0.003 | 0.002 |
| Research integrity | 0.021 | 0.030 |
| Insufficient payload (model declined to judge) | 0.002 | 0.003 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".