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High Maternal Neonatal Mortality and Morbidity in Pregnancy with Eisenmenger Syndrome. J Pregnancy 2021; 2021:3248850. [PMID: 34616573 PMCID: PMC8490032 DOI: 10.1155/2021/3248850] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/25/2021] [Revised: 08/20/2021] [Accepted: 09/20/2021] [Indexed: 12/30/2022] Open
Abstract
Objectives This study is aimed at evaluating the maternal and perinatal characteristics and pregnancy outcomes of ES. Material and Methods. This is a retrospective cohort study of pregnancy with Eisenmenger syndrome (ES) in Dr. Soetomo Hospital from January 2018 to December 2019. Total sampling size was obtained. We collected all baseline maternal-perinatal characteristic data, cardiac status, and pregnancy outcomes as primary outcomes. The maternal death cases were also evaluated, and we compared characteristics based on defect size (< or >3 cm). Results During study periods, we collected 18 cases with ES from a total of 152 pregnancies with heart disease. The underlying heart disease type includes atrial septal defect (ASD), ventricle septal defect (VSD), and patent ductus arteriosus (PDA). All cases suffered pulmonary hypertension (PH), 3 cases moderate, and 15 cases as severe. 94% of cases fall into heart failure (DC FC NYHA III-IV) during treatment. The majority of cases are delivered by cesarean section (88.9%). Pregnancy complications found include preterm birth (78%), low birthweight (94%), intrauterine growth restriction (55%), oligohydramnios (16%), severe preeclampsia (33%), and placenta previa (5.5%). Large defect group has an older maternal ages (30.18 ± 4.60 vs. 24.15 ± 2.75; p = 0.002), higher clinical sign (100 vs. 40%, p = 0.003), and higher preterm delivery rate (100% vs. 69%, p = 0.047) compared to small defect groups. The R to L or bidirectional shunt is significantly higher at the large defect group (13 vs. 5 cases, p = 0.006, 95% confidence interval: -1.156 to -0.228). There were seven maternal death cases caused by shock cardiogenic. Conclusions Pregnancy with ES is still associated with very high maternal neonatal mortality and morbidity. The larger defect size is correlated with clinical performances and pregnancy outcomes. Effective preconception counseling is the best strategy to reduce the risk of maternal and neonatal death in ES women.
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Bourgneuf C, Bailbé D, Lamazière A, Dupont C, Moldes M, Farabos D, Roblot N, Gauthier C, Mathieu d'Argent E, Cohen-Tannoudji J, Monniaux D, Fève B, Movassat J, di Clemente N, Racine C. The Goto-Kakizaki rat is a spontaneous prototypical rodent model of polycystic ovary syndrome. Nat Commun 2021; 12:1064. [PMID: 33594056 PMCID: PMC7886868 DOI: 10.1038/s41467-021-21308-y] [Citation(s) in RCA: 9] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/07/2019] [Accepted: 01/18/2021] [Indexed: 12/21/2022] Open
Abstract
Polycystic ovary syndrome (PCOS) is characterized by an oligo-anovulation, hyperandrogenism and polycystic ovarian morphology combined with major metabolic disturbances. However, despite the high prevalence and the human and economic consequences of this syndrome, its etiology remains unknown. In this study, we show that female Goto-Kakizaki (GK) rats, a type 2 diabetes mellitus model, encapsulate naturally all the reproductive and metabolic hallmarks of lean women with PCOS at puberty and in adulthood. The analysis of their gestation and of their fetuses demonstrates that this PCOS-like phenotype is developmentally programmed. GK rats also develop features of ovarian hyperstimulation syndrome. Lastly, a comparison between GK rats and a cohort of women with PCOS reveals a similar reproductive signature. Thus, this spontaneous rodent model of PCOS represents an original tool for the identification of the mechanisms involved in its pathogenesis and for the development of novel strategies for its treatment.
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Affiliation(s)
- Camille Bourgneuf
- Sorbonne Université-INSERM, Centre de Recherche Saint-Antoine (CRSA), Paris, France
- Institut Hospitalo-Universitaire ICAN, Paris, France
| | - Danielle Bailbé
- Université de Paris, BFA, UMR 8251, CNRS, F-75013, Paris, France
| | - Antonin Lamazière
- Sorbonne Université-INSERM, Centre de Recherche Saint-Antoine (CRSA), Paris, France
- Assistance Publique des Hôpitaux de Paris, Hôpital Saint-Antoine, Département PM2, Paris, France
| | - Charlotte Dupont
- Sorbonne Université-INSERM, Centre de Recherche Saint-Antoine (CRSA), Paris, France
- Institut Hospitalo-Universitaire ICAN, Paris, France
- Assistance Publique des Hôpitaux de Paris, Hôpital Tenon, Service de biologie de la reproduction-CECOS, Paris, France
| | - Marthe Moldes
- Sorbonne Université-INSERM, Centre de Recherche Saint-Antoine (CRSA), Paris, France
- Institut Hospitalo-Universitaire ICAN, Paris, France
| | - Dominique Farabos
- Sorbonne Université-INSERM, Centre de Recherche Saint-Antoine (CRSA), Paris, France
- Assistance Publique des Hôpitaux de Paris, Hôpital Saint-Antoine, Département PM2, Paris, France
| | - Natacha Roblot
- Sorbonne Université-INSERM, Centre de Recherche Saint-Antoine (CRSA), Paris, France
- Institut Hospitalo-Universitaire ICAN, Paris, France
| | - Camille Gauthier
- Sorbonne Université-INSERM, Centre de Recherche Saint-Antoine (CRSA), Paris, France
- Institut Hospitalo-Universitaire ICAN, Paris, France
| | - Emmanuelle Mathieu d'Argent
- Sorbonne Université-INSERM, Centre de Recherche Saint-Antoine (CRSA), Paris, France
- Institut Hospitalo-Universitaire ICAN, Paris, France
- Assistance Publique des Hôpitaux de Paris, Hôpital Tenon, Service de biologie de la reproduction-CECOS, Paris, France
| | | | | | - Bruno Fève
- Sorbonne Université-INSERM, Centre de Recherche Saint-Antoine (CRSA), Paris, France
- Institut Hospitalo-Universitaire ICAN, Paris, France
- Assistance Publique des Hôpitaux de Paris, Hôpital Saint-Antoine, Service Endocrinologie, CRMR PRISIS, Paris, France
| | - Jamileh Movassat
- Université de Paris, BFA, UMR 8251, CNRS, F-75013, Paris, France
| | - Nathalie di Clemente
- Sorbonne Université-INSERM, Centre de Recherche Saint-Antoine (CRSA), Paris, France
- Institut Hospitalo-Universitaire ICAN, Paris, France
| | - Chrystèle Racine
- Sorbonne Université-INSERM, Centre de Recherche Saint-Antoine (CRSA), Paris, France.
- Institut Hospitalo-Universitaire ICAN, Paris, France.
- Université de Paris, Paris, France.
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