September 2016 at a Glance: Pregnancy, Hypertrophic Cardiomyopathy, Epidemiology, Medical Treatment
Bibliographic record
Abstract
Heart failure in pregnancy: peripartum cardiomyopathy and pulmonary hypertensionPeripartum cardiomyopathy is a major cause of heart failure (HF) towards the end of pregnancy and in the months after delivery.Its prevalence and clinical characteristics are collected in a large registry by the EURObservational Research Programme. 1 In this issue of the journal, practical recommendations for the diagnosis and management of severe acute peripartum cardiomyopathy are given by the task force of the Heart Failure Association (HFA) of the European Society of Cardiology (ESC). 2 In another article, based on the ESC Registry Of Pregnancy and Cardiac Disease, Sliwa et al. analyse the clinical characteristics and outcomes of 151 women with pulmonary hypertension during pregnancy.3 Maternal and fetal mortality remains excessively high in these subjects with a high rate of HF (27%) and of fetal complications.These were particularly high in the mothers with severe pulmonary hypertension and idiopathic pulmonary arterial hypertension.3 with almost half who had renal dysfunction at least once during follow-up.Hence, the projected need for NOAC dose reduction was high, though with differences between individual NOACs due to different criteria for adjustment.Need of cessation would have been, however, rare.14
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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 | 0.001 | 0.005 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.002 | 0.002 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.030 | 0.009 |
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".