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Impact of prenatal diagnosis on survival of newborns with four congenital heart defects: a prospective, population-based cohort study in France (the EPICARD Study)

Authors :
François Goffinet
Lucile Houyel
Morgane Ballon
Babak Khoshnood
Nathalie Lelong
Jean-Marie Jouannic
Damien Bonnet
Equipe 1 : EPOPé - Épidémiologie Obstétricale, Périnatale et Pédiatrique (CRESS - U1153)
Université Paris Descartes - Paris 5 (UPD5)-Centre de Recherche Épidémiologie et Statistique Sorbonne Paris Cité (CRESS (U1153 / UMR_A_1125 / UMR_S_1153))
Institut National de la Recherche Agronomique (INRA)-Université Paris Diderot - Paris 7 (UPD7)-Université Paris Descartes - Paris 5 (UPD5)-Université Sorbonne Paris Cité (USPC)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Institut National de la Recherche Agronomique (INRA)-Université Paris Diderot - Paris 7 (UPD7)-Université Sorbonne Paris Cité (USPC)-Institut National de la Santé et de la Recherche Médicale (INSERM)
Centre Chirurgical Marie Lannelongue (CCML)
Centre chirurgical Marie Lannelongue
Centre de Référence des cardiopathies congénitales (M3C)
Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP)-Université Paris Descartes - Paris 5 (UPD5)-PRES Sorbonne Paris Cité-CHU Necker - Enfants Malades [AP-HP]
Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP)
Centre pluridisciplinaire de diagnostic prénatal [CHU Trousseau]
Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP)-CHU Trousseau [APHP]
Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP)-Sorbonne Université (SU)-Sorbonne Université (SU)
Université Pierre et Marie Curie - Paris 6 (UPMC)
Maternité Port-Royal [CHU Cochin]
Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP)-Hôpital Cochin [AP-HP]
CHU Trousseau [APHP]
Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP)-Sorbonne Université (SU)
Assistance publique - Hôpitaux de Paris (AP-HP) (APHP)-Université Paris Descartes - Paris 5 (UPD5)-PRES Sorbonne Paris Cité-CHU Necker - Enfants Malades [AP-HP]
Assistance publique - Hôpitaux de Paris (AP-HP) (APHP)-CHU Trousseau [APHP]
CHU Cochin [AP-HP]-Assistance publique - Hôpitaux de Paris (AP-HP) (APHP)
Centre de Recherche Épidémiologie et Statistique Sorbonne Paris Cité (CRESS (U1153 / UMR_A_1125 / UMR_S_1153))
Université Paris Diderot - Paris 7 (UPD7)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Institut National de la Recherche Agronomique (INRA)-Université Paris Descartes - Paris 5 (UPD5)-Université Sorbonne Paris Cité (USPC)-Université Paris Diderot - Paris 7 (UPD7)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Institut National de la Recherche Agronomique (INRA)-Université Paris Descartes - Paris 5 (UPD5)-Université Sorbonne Paris Cité (USPC)
Source :
BMJ Open, BMJ Open, BMJ Publishing Group, 2017, 7 (11), pp.e018285. ⟨10.1136/bmjopen-2017-018285⟩, BMJ Open, 2017, 7 (11), pp.e018285. ⟨10.1136/bmjopen-2017-018285⟩
Publication Year :
2017
Publisher :
BMJ, 2017.

Abstract

Objectives(1) Assess the population-level probability of prenatal diagnosis and termination of pregnancy for fetal anomaly for four major congenital heart defects; (2) Examine, using population-based data, the relation between timing of (prenatal vs postnatal) diagnosis and risk of infant (ie, < 1 year) mortality for four major congenital heart defects (CHDs).DesignPopulation-based cohort (the EPIdémiologie des CARDiopathies congénitales) study.SettingGreater Paris area (Paris and its surrounding suburbs).PatientsThree hundred and fifty-four cases of four major CHDs, including functionally univentricular heart (FUH, N=132), d-transposition of great arteries (d-TGA, N=85), tetralogy of Fallot (TOF, N=60) and coarctation of aorta (CoA, N=77). Statistical analysis included the Mantel-Haenszel method and a test of homogeneity of risk ratios.ResultsApproximately 95% of FUH, more than two-thirds of d-TGA and TOF, and 40% of CoA were prenatally diagnosed. Overall, we did not find any statistically significant association between timing of (prenatal vs postnatal) diagnosis of CHD and risk of infant mortality (Mantel-Haenszel risk ratio 1.1, 95% CI 0.5 – 2.7); and the differences between the risk ratios of the association between prenatal diagnosis and infant mortality across the four CHDs was not statistically significant.ConclusionThese results imply that at least in the settings where specialised services are readily available, survival may no longer be the most relevant outcome, or the best criterion, for evaluating the impact of prenatal diagnosis on the outcome of CHD. The beneficial effects of prenatal diagnosis may be better sought by looking at more ’subtle' or long-term neurodevelopmental outcomes.

Details

ISSN :
20446055
Volume :
7
Database :
OpenAIRE
Journal :
BMJ Open
Accession number :
edsair.doi.dedup.....a2ec62518faa47a68120ef09a3d3e4da
Full Text :
https://doi.org/10.1136/bmjopen-2017-018285