Course of Pregnancy in a Woman With Familial Chylomicronemia Syndrome Treated With Plozasiran, a Small Interfering <scp>RNA</scp> Against <scp>ApoC3</scp>
Bibliographic record
Abstract
Persistent chylomicronemia is associated with severe hypertriglyceridemia (sHTG) and plasma triglycerides (TG) levels sustainably > 10 mmol/L (880 mg/dL) despite lipid lowering therapies. The main risk of persistent chylomicronemia is acute pancreatitis (AP). During the second and third trimester of pregnancy, TG levels significantly increase, which represents a serious risk of AP in women with preexisting chylomicronemia. New emerging therapies such as plozasiran, a GalNAc-conjugated small interfering RNA (siRNA) against ApoC3, are developed to manage persistent chylomicronemia, but no data are currently available on their safety and efficacy during pregnancy. We report herein the case of a woman with persistent chylomicronemia randomized in the PALISADE study to receive plozasiran 25 mg quarterly, who had an unplanned pregnancy during the clinical trial. The 34-year-old patient received one dose of plozasiran 8 weeks before conception and the experimental treatment was ceased afterwards. The pregnancy went well, TG levels did not rise above 10 mmol/L (880 mg/dL) during the whole pregnancy, even during the last two trimesters where TG levels usually increase two- to four-fold from baseline and she did not experience any AP episode. She delivered a healthy baby at 39 weeks. This case suggests that plozasiran might be safe for the mother and the fetus and could prevent incremental pregnancy-driven TG elevation and occurrence of AP in women with sHTG. This is consistent with the long duration of action and hepatic half-life of plozasiran in clinical studies where TG levels remained sustainably lower than baseline > 9 months after the last injection.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 teacher head, 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".