Management of Preeclampsia in Low- and Middle-Income Countries: Lessons to Date, and Questions Arising, from the PRE-EMPT and Related Initiatives
Notice bibliographique
Résumé
Abstract Preeclampsia remains associated with an increased risk of maternal and perinatal morbidity and mortality, and the burden of that excess risk is largely borne by pregnant women and their families in low- and middle-income countries (LMICs). Therefore, the Bill & Melinda Gates Foundation funded the PREeclampsia – Eclampsia Monitoring, Prevention, and Treatment (PRE-EMPT) initiative to accelerate progress. From PRE-EMPT, and related activity, have come a number of impactful findings. First, there is increasing global support for broadening the definition of preeclampsia to include women with hypertension and either significant proteinuria or evidence of target organ damage or fetoplacental compromise (including evidence angiogenic imbalance). Second, using blood pressure (BP) data from the Community-Level Interventions for Preeclampsia trials in India, Mozambique, and Pakistan, acquired on validated-for-pregnancy, semi-automated, low-cost BP devices, there are now population-level, rather than facility-based, estimates for the burden of pregnancy hypertension (sub-categorized into preeclampsia (4%–6%), gestational hypertension (7%–12%), and chronic hypertension (0.3%–0.6%)). Third, there is an identified need to understand biological pathways that underlie the causation of preeclampsia in LMICs. Fourth, the Community-Level Interventions for Preeclampsia trials have shown that providing at least eight antenatal contacts, in this case using digital health-supported community health workers, cost-effectively reduces the burden of maternal (by 60%), fetal (60%), and neonatal (40%) mortality. Fifth, what is the utility and cost-effectiveness of routine proteinuria screening of normotensive pregnant women? Sixth, clinical risk factor-based prediction of preeclampsia remains most relevant for most women in LMICs; calcium replacement (≥1 g/day) and low-dose aspirin (100–175 mg/day) are the most useful directly preventative interventions. However, achieving sustainable development goals (SDGs) not directly related to health are more likely to reduce the global burden of preeclampsia and its consequences. Seventh, should a woman develop preeclampsia, personalized maternal time-of-disease risk estimates are available through the PIERS (Preeclampsia Integrated Estimate of RiSk) models, either with (fullPIERS) or without (miniPIERS) access to laboratory testing. Assessment of perinatal risks in LMICs is largely driven by gestational age; however, evidence of significant angiogenic imbalance may identify risk of intrauterine fetal death. Eighth, Control of Hypertension in Pregnancy Study trial data show that women with non-severe pregnancy hypertension (systolic BP 140–159 mmHg or diastolic BP (dBP) 90–109 mmHg) should receive an antihypertensive medication for a target dBP of 85 mmHg. Ninth, for women with severe pregnancy hypertension (systolic BP ≥160 mmHg or dBP ≥110 mmHg), oral antihypertensive management with either nifedipine, labetalol, or, less so, methyldopa will lower BP into the non-severe hypertension range. Tenth, magnesium sulfate remains the sole agent of choice for preventing and treating eclamptic seizures. Eleventh, corticosteroids should be administered to women at risk of delivery <35+0 weeks’ gestation. Twelfth, although delivery of the placenta initiates resolution of the maternal syndrome of preeclampsia, decisions to initiate delivery should be guided by gestational age and maternal and fetal status. Many women will experience significant postpartum deterioration; delivery should not be equated with “cure”. Thirteenth, whether the development of preeclampsia identifies women at increased risk for early-onset cardiovascular disease in LMICs must be determined.
Récupéré en direct depuis OpenAlex et désinversé. Les résumés ne sont pas conservés dans cette base de données : les index inversés représentent 8,6 Go des 9,3 Go de texte de la base, et le serveur dispose de 13 Go libres.
Comment cette classification a été obtenuedéplier
Prédiction machine sur la base complète
Imitation des enseignantsNi prévalence calibrée, ni vérité terrain. Validation humaine à venir. Le volet Gemma est une étiquette directe du modèle pour chaque travail de la base, lue sur la notice réduite au titre. Le volet Codex est un classifieur appris des 10 348 étiquettes directes de Codex et calibré sur les taux pondérés de l'échantillon; les champs sans appui suffisant ne portent aucun appel Codex. Le mode candidate est l'union des deux volets; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont pas des étiquettes humaines.
Scores du classifieur distillé par catégorie (deux têtes)
| Catégorie | Codex | Gemma |
|---|---|---|
| Métarecherche | 0,017 | 0,035 |
| Méta-épidémiologie (sens strict) | 0,001 | 0,000 |
| Méta-épidémiologie (sens large) | 0,002 | 0,001 |
| Bibliométrie | 0,001 | 0,001 |
| Études des sciences et des technologies | 0,003 | 0,004 |
| Communication savante | 0,007 | 0,008 |
| Science ouverte | 0,003 | 0,008 |
| Intégrité de la recherche | 0,007 | 0,014 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,006 | 0,001 |
Scores machine (provisoires)
Les deux têtes enseignantes du modèle étudiant, lues sur ce travail. Un score ordonne la base pour la relecture; il n'affirme jamais une catégorie, et le statut de validation accompagne chaque rangée tel quel.
Scores de référence d'un modèle non mature (critères de maturité non atteints, 7 itérations). Un score ordonne; il n'affirme jamais une catégorie.
score_only:v0-immature-baseline · tel quel depuis la passe de notation : score_only signifie que le nombre peut ordonner les travaux, et qu'aucune étiquette de catégorie n'en découleClassification
machine, non validéePrédiction automatique; un appel candidat d’une seule source (Gemma direct ou Codex distillé), pas un consensus.
Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».