Hypertensive disorders of pregnancy in women with structural heart disease: data from the ESC EORP Registry of Pregnancy and Cardiac disease (ROPAC)
Notice bibliographique
Résumé
Abstract Background Hypertensive disorders of pregnancy (HDP) are estimated to occur in 10% of pregnancies in the general population and preeclampsia specifically in 3–5%. HDP are suggested to be more common in and less well tolerated by women with heart disease. However, the current data are conflicting and this knowledge gap impacts clinical practice guidelines. Purpose To harness the well characterized data of the Registry of Pregnancy and Cardiac disease (ROPAC) to examine the frequency of HDP in women with structural heart disease and its impact on maternal and perinatal outcomes. Methods The ROPAC registry (n=5739) is a worldwide prospective registry on pregnancies in women with heart disease, including congenital heart disease (CHD, n=3295), valvular heart disease (VHD, n=1648), cardiomyopathy (CMP, n=438), aortopathy (AOP, n=217), ischemic heart disease (IHD, n=95), and pulmonary arterial hypertension (PAH, n=45). We defined HDP as either chronic hypertension, gestational hypertension, and/or preeclampsia (including HELLP syndrome and eclampsia) and assessed the frequency of HDP in each heart disease category. Predictors of preeclampsia were identified using multivariable logistic regression. The proportion of women with adverse maternal, pregnancy, and fetal/neonatal outcomes were described among women with preeclampsia or HDP, and compared between women with and women without HDP using chi-square tests. Results In total, the frequency of HDP and preeclampsia was 9.3% and 2.6% in CHD, 7.5% and 2.2% in VHD, 18.7% and 7.1% in CMP, 15.7% and 2.8% AOP, 35.8% and 6.3% in IHD, and 22.2% and 11.1% in PAH. Independent predictors of preeclampsia were chronic hypertension (OR 3.06, 95% CI 2–4.69), nulliparity (2.39, 1.68–3.38), HDP in a previous pregnancy (2.29, 1.11–4.7), gestational diabetes in the current pregnancy (2.13, 1.13–4.03), pulmonary hypertension (1.71, 1.08–2.7) and age (1.04, 1.01–1.07). In women with preeclampsia and heart disease, maternal mortality was 3.5% and heart failure was 29.1%. Maternal mortality (1.4% vs 0.6%, p=0.042), heart failure (18.5% vs 10.6%), Caesarean section (61.2% vs 48.4%), preterm births (27.4% vs 16.9%), low Apgar score (9.8% vs 6.6%), small for gestational age (14.6% vs 9.7%) and neonatal mortality (1.7% vs 0.4%) were higher in women with than women without HDP (all p<0.001 except maternal mortality). Conclusions The frequency of HDP is increased (>10%) in CMP, AOP, IHD and PAH, but not in CHD and VHD. The high frequency of HDP is partly due to chronic hypertension, but the incidence of preeclampsia is also increased (>5%) in CMP, IHD and PAH. Among women with cardiac disease, HDP were associated with adverse maternal and perinatal outcomes. The high maternal mortality rate of 3.5% in women with heart disease and preeclampsia warrants close clinical monitoring and a better understanding of the optimal management strategies in the complex population group. Funding Acknowledgement Type of funding sources: Other. Main funding source(s): Funding from “Zabawas Foundation” and “De Hoop Foundation” in addition to the support from EORP is greatly acknowledged. Since the start of EORP, the following companies have supported the programme: Abbott Vascular Int. (2011–2021), Amgen Cardiovascular (2009–2018), AstraZeneca (2014–2021), Bayer AG (2009–2018), Boehringer Ingelheim (2009–2019), Boston Scientific (2009–2012), The Bristol Myers Squibb and Pfizer Alliance (2011–2019), Daiichi Sankyo Europe GmbH (2011–2020), The Alliance Daiichi Sankyo Europe GmbH and Eli Lilly and Company (2014–2017), Edwards (2016–2019), Gedeon Richter Plc. (2014–2016), Menarini Int. Op. (2009–2012), MSD-Merck & Co. (2011–2014), Novartis Pharma AG (2014–2020), ResMed (2014–2016), Sanofi (2009–2011), Servier (2009–2021), Vifor (2019–2022). HDP in women with heart diseaseIncidence of HDP per diagnosis group
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Comment cette classification a été obtenuedéplier
Prédiction distillée sur la base complète
Imitation des enseignantsNi prévalence calibrée, ni vérité terrain. Validation humaine à venir. Apprise à partir de 10 348 étiquettes directes de Codex et de 10 348 étiquettes directes de Gemma. Le mode candidate est l'union des têtes enseignantes seuillées; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont ni des étiquettes humaines ni des étiquettes directes de modèles de pointe.
Scores Codex et Gemma par catégorie
| Catégorie | Codex | Gemma |
|---|---|---|
| Métarecherche | 0,000 | 0,001 |
| Méta-épidémiologie (sens strict) | 0,000 | 0,000 |
| Méta-épidémiologie (sens large) | 0,001 | 0,000 |
| Bibliométrie | 0,000 | 0,000 |
| Études des sciences et des technologies | 0,000 | 0,000 |
| Communication savante | 0,000 | 0,000 |
| Science ouverte | 0,000 | 0,000 |
| Intégrité de la recherche | 0,000 | 0,001 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,000 | 0,000 |
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 tête enseignante, 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 ».