Details

Autor(en) / Beteiligte

• Marantz, Pablo
• Grinenco, Sofía
• Pestchanker, Fabio
• Meller, César H
• Izbizky, Gustavo

Titel

Prenatal diagnosis of CHDs: a simple ultrasound prediction model to estimate the probability of the need for neonatal cardiac invasive therapy

Ist Teil von

• Cardiology in the young, 2016-02, Vol.26 (2), p.347-353

Ort / Verlag

England: Cambridge University Press

Erscheinungsjahr

2016

Quelle

MEDLINE

Beschreibungen/Notizen

• To develop a prediction model based on echocardiographic findings to estimate the probability of the need for neonatal cardiac invasive therapy, including cardiac surgery or catheter-based therapy, in foetuses with CHD. Retrospective cohort study: a prediction model was developed based on echocardiographic findings on the examination of the four-chamber, the three-vessel, and the three-vessel and tracheal views. We assessed performance using the area under the curve of the receiver operating characteristic. Among 291 patients with prenatal diagnosis of CHD and complete follow-up, 175 (60.1%) required neonatal cardiac invasive therapy. The variables "functionally single ventricle", "great artery reverse flow", and "congenital heart block" had a discrimination value of 100% and were excluded from the model. In univariate and multivariate analysis, "non-visualisation of a great vessel", "asymmetry of the great vessels", "visualisation of one atrioventricular valve", and "ventricular asymmetry" were significantly associated with the need for neonatal cardiac invasive therapy. The area under the receiver operating characteristic curve was 0.9324 (95% CI 0.92-0.97). A prediction model based on echocardiographic findings in foetuses with CHD, even without a definite diagnosis, allows an accurate estimation of the probability of requiring neonatal cardiac invasive therapy. This can modify patient care, especially in regions where a Foetal Medicine Specialist or a Paediatric Cardiologist is not available and referral may be extremely difficult due to social and economic barriers.