Changes in treatment needs of hypoparathyroidism during pregnancy and lactation: A case series
Bibliographic record
Abstract
Abstract Objective As only sparse data are available, we aimed to investigate whether needs for activated vitamin D and calcium supplements change in women with hypoparathyroidism during pregnancy and lactation and risk of pregnancy‐related complications. Design Retrospective review of medical records. Patients Twelve Danish and Canadian patients with chronic hypoparathyroidism who completed 17 pregnancies. Measurements Data were extracted on plasma levels of ionized calcium (P‐Ca 2+ ) and doses of active vitamin D and calcium supplements during pregnancy (N = 14) and breastfeeding (N = 10). Data on pregnancy complications were available from all 17 pregnancies. Results Although average doses of active vitamin D ( P = .91) and calcium supplements ( P = .43) did not change during pregnancies, a more than 20% increase or decrease in dose of active vitamin D was needed in more than half of the pregnancies in order to maintain normocalcemia. Five women (36%) developed hypercalcaemia by the end of pregnancy or start of lactation. Median levels of P‐Ca 2+ increased from 1.20 mmol/L in third trimester to 1.32 mmol/L in the post‐partum period ( P < .03). Accordingly, the average dose of active vitamin D was significantly reduced ( P = .01) during lactation compared to 3rd trimester. One woman developed severe pre‐eclampsia (6%). Further four pregnancies (24%) were complicated by polyhydramnios, dystocia and/or perinatal hypoxia. Ten pregnancies required caesarean delivery (59%) with four (24%) being performed as an emergency. Conclusion In chronic hypoparathyroidism, close medical monitoring of the mother with frequent adjustments in the dose of calcium and active vitamin D is required during pregnancy and lactation in order to maintain normocalcemia. Patients should be offered close obstetric care to handle potential perinatal complications. We recommend evaluating the neonate immediately after birth and notifying the paediatrician of the risks of hypocalcaemia as well as hypercalcaemia in the neonate.
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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 | 0.000 | 0.005 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.002 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 0.000 |
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".