Literature DB >> 27325590

Eisenmenger syndrome and long-term survival in patients with Down syndrome and congenital heart disease.

Marc-André Körten1, Paul C Helm1, Hashim Abdul-Khaliq2, Helmut Baumgartner3, Deniz Kececioglu4, Christian Schlensak5, Ulrike M M Bauer1, Gerhard-Paul Diller6.   

Abstract

OBJECTIVE: To characterise patients with trisomy 21 (Down syndrome, DS) based on the data of the German National Register for Congenital Heart Defects, to identify changes in the availability of surgical therapy over time and to analyse the impact of these changes on developing Eisenmenger syndrome (ES) as well as survival.
METHODS: Out of 1549 patients with DS with congenital heart disease in the National Register for Congenital Heart Defects, 894 patients (55% female, mean age 17.5 years) had a post-tricuspid shunt lesion (atrioventricular septal defect 69.5%, ventricular septal defect 27.7%, patent arterial duct 2.6%) and were included in the current study.
RESULTS: The likelihood of being treated interventionally or surgically before the age of 1 year increased significantly over time. In parallel, the likelihood of developing ES decreased over time (53% birth cohort during 1950s/1960s vs 0.5% birth cohort during 2000-2009, p<0.0001). Overall survival after 1, 10, 20 and 40 years was 96.8%, 94.1%, 92.6% and 75.5%, respectively. Patients with ES had a significantly worse survival compared with those without ES (HR 18.1; 95% CI 7.2 to 45.4; p<0.0001).
CONCLUSIONS: The availability of surgical correction was associated with a decrease in the likelihood of developing ES. Patients with DS still have reduced survival prospects compared with the general population, but this effect is largely driven by patients developing ES who still have a very poor prognosis. Published by the BMJ Publishing Group Limited. For permission to use (where not already granted under a licence) please go to http://www.bmj.com/company/products-services/rights-and-licensing/

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Year:  2016        PMID: 27325590     DOI: 10.1136/heartjnl-2016-309437

Source DB:  PubMed          Journal:  Heart        ISSN: 1355-6037            Impact factor:   5.994


  7 in total

1.  Cardiovascular physiology and pathophysiology in Down syndrome.

Authors:  B T Cilhoroz; C N Receno; K S Heffernan; L R Deruisseau
Journal:  Physiol Res       Date:  2022-01-19       Impact factor: 1.881

2.  Vascular Adaptation of the Right Ventricle in Experimental Pulmonary Hypertension.

Authors:  Brian B Graham; Rahul Kumar; Claudia Mickael; Biruk Kassa; Dan Koyanagi; Linda Sanders; Li Zhang; Mario Perez; Daniel Hernandez-Saavedra; Carolyn Valencia; Kandice Dixon; Julie Harral; Zoe Loomis; David Irwin; Travis Nemkov; Angelo D'Alessandro; Kurt R Stenmark; Rubin M Tuder
Journal:  Am J Respir Cell Mol Biol       Date:  2018-10       Impact factor: 7.748

Review 3.  The Changing Landscape of Pulmonary Arterial Hypertension in the Adult with Congenital Heart Disease.

Authors:  Alexandra C van Dissel; Barbara J M Mulder; Berto J Bouma
Journal:  J Clin Med       Date:  2017-03-30       Impact factor: 4.241

4.  Evaluation of Macitentan in Patients With Eisenmenger Syndrome.

Authors:  Michael A Gatzoulis; Michael Landzberg; Maurice Beghetti; Rolf M Berger; Michela Efficace; Sophie Gesang; Jian'guo He; Kelly Papadakis; Tomás Pulido; Nazzareno Galiè
Journal:  Circulation       Date:  2019-01-02       Impact factor: 29.690

Review 5.  Focused Update on Pulmonary Hypertension in Children-Selected Topics of Interest for the Adult Cardiologist.

Authors:  Sulaima Albinni; Manfred Marx; Irene M Lang
Journal:  Medicina (Kaunas)       Date:  2020-08-19       Impact factor: 2.430

Review 6.  Cardiomyopathies in Children and Systemic Disorders When Is It Useful to Look beyond the Heart?

Authors:  Valentina Lodato; Giovanni Parlapiano; Federica Calì; Massimo Stefano Silvetti; Rachele Adorisio; Michela Armando; May El Hachem; Antonino Romanzo; Carlo Dionisi-Vici; Maria Cristina Digilio; Antonio Novelli; Fabrizio Drago; Massimiliano Raponi; Anwar Baban
Journal:  J Cardiovasc Dev Dis       Date:  2022-01-31

7.  Identifying Patients with Atrioventricular Septal Defect in Down Syndrome Populations by Using Self-Normalizing Neural Networks and Feature Selection.

Authors:  Xiaoyong Pan; Xiaohua Hu; Yu Hang Zhang; Kaiyan Feng; Shao Peng Wang; Lei Chen; Tao Huang; Yu Dong Cai
Journal:  Genes (Basel)       Date:  2018-04-12       Impact factor: 4.096

  7 in total

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