Dyslipidemia Management after Pre-eclampsia: What is the Threshold for Treatment Due to Increased Cardiovascular Risk?
Bibliographic record
Abstract
Growing evidence shows that women with a history of pre-eclampsia, pregnancy-induced hypertension or gestational diabetes are at increased long-term risk of cardiovascular disease (CVD). This was incorporated in the American Heart Association’s 2011 guideline on the prevention of CVD in women and was recently reflected in the 2016 Canadian Cardiovascular Society’s guidelines, suggesting that young women who would not formerly have been considered for primary CVD prevention may benefit from screening for dyslipidemia. However, the indications and targets for medical treatment of dyslipidemia postpartum remain unclear and in fact differ amongst guidelines. We present the case of a 31-year-old G1P1L2 woman with pre-eclampsia, preterm delivery and dyslipidemia who had active vascular risk reduction postpartum, including adjustment of antihypertensives, diet and exercise counselling for low-density lipoprotein cholesterol reduction and weight loss promotion, and consideration of an HMG-CoA reductase inhibitor, which was ultimately decided against given the improvements seen with lifestyle modifications.
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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 | 0.002 | 0.013 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.002 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.002 | 0.002 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.003 | 0.005 |
| Insufficient payload (model declined to judge) | 0.003 | 0.001 |
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".