Gestational Hypertension and Preeclampsia: An Overview of National and International Guidelines
Bibliographic record
Abstract
IMPORTANCE: Gestational hypertension and preeclampsia are leading causes of maternal and perinatal morbidity and mortality worldwide. Τhe lack of effective screening and management policies appears to be one of the main reasons. OBJECTIVE: The aim of this study was to review and compare recommendations from published guidelines on these common pregnancy complications. EVIDENCE ACQUISITION: A descriptive review of guidelines from the National Institute for Health and Care Excellence, the Society of Obstetric Medicine of Australia and New Zealand, the International Society of Hypertension, the International Society for the Study of Hypertension in Pregnancy, the European Society of Cardiology, the International Federation of Gynecology and Obstetrics, the Society of Obstetricians and Gynaecologists of Canada, the American College of Obstetricians and Gynecologists, the International Society of Ultrasound in Obstetrics and Gynecology, the World Health Organization, and the US Preventive Services Task Force on gestational hypertension and preeclampsia was carried out. RESULTS: There is an overall agreement that, in case of suspected preeclampsia or new-onset hypertension, blood and urine tests should be carried out, including dipstick test for proteinuria, whereas placental growth factor-based testing is only recommended by the National Institute for Health and Care Excellence and the European Society of Cardiology. In addition, there is a consensus on the recommendations for the medical treatment of severe and nonsevere hypertension, the management of preeclampsia, the appropriate timing of delivery, the optimal method of anesthesia and the mode of delivery, the administration of antenatal corticosteroids and the use of magnesium sulfate for the treatment of eclamptic seizures, the prevention of eclampsia in cases of severe preeclampsia, and the neuroprotection of preterm neonates. The reviewed guidelines also state that, based on maternal risk factors, pregnant women identified to be at high risk for preeclampsia should receive low-dose aspirin starting ideally in the first trimester until labor or 36 to 37 weeks of gestation, although the recommended dose varies between 75 and 162 mg/d. Moreover, most guidelines recommend calcium supplementation for the prevention of preeclampsia and discourage the use of other agents. However, controversy exists regarding the definition and the optimal screening method for preeclampsia, the need for treating mild hypertension, the blood pressure treatment targets, and the postnatal blood pressure monitoring. CONCLUSIONS: The development and implementation of consistent international protocols will allow clinicians to adopt effective universal screening, as well as preventive and management strategies with the intention of improving maternal and neonatal outcomes.
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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 | 0.012 | 0.024 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.002 | 0.002 |
| Bibliometrics | 0.011 | 0.011 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.002 | 0.002 |
| Open science | 0.002 | 0.002 |
| Research integrity | 0.002 | 0.003 |
| 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".