Outcome of pregnancy in patients with structural or ischaemic heart disease: results of a registry of the European Society of Cardiology.

AIMS: To describe the outcome of pregnancy in patients with structural or ischaemic heart disease. METHODS AND RESULTS: In 2007, the European Registry on Pregnancy and Heart disease was initiated by the European Society of Cardiology. Consecutive patients with valvular heart disease, congenital heart disease, ischaemic heart disease (IHD), or cardiomyopathy (CMP) presenting with pregnancy were enrolled. Data for the normal population were derived from the literature. Sixty hospitals in 28 countries enrolled 1321 pregnant women between 2007 and 2011. Median maternal age was 30 years (range 16-53). Most patients were in NYHA class I (72%). Congenital heart disease (66%) was most prevalent, followed by valvular heart disease 25%, CMP 7%, and IHD in 2%. Maternal death occurred in 1%, compared with 0.007% in the normal population. Highest maternal mortality was found in patients with CMP. During pregnancy, 338 patients (26%) were hospitalized, 133 for heart failure. Caesarean section was performed in 41%. Foetal mortality occurred in 1.7% and neonatal mortality in 0.6%, both higher than in the normal population. Median duration of pregnancy was 38 weeks (range 24-42) and median birth weight 3010 g (range 300-4850). In centres of developing countries, maternal and foetal mortality was higher than in centres of developed countries (3.9 vs. 0.6%, P < 0.001 and 6.5 vs. 0.9% P < 0.001) CONCLUSION: The vast majority of patients can go safely through pregnancy and delivery as long as adequate pre-pregnancy evaluation and specialized high-quality care during pregnancy and delivery are available. Pregnancy outcomes were markedly worse in patients with CMP and in developing countries.

Adult congenital heart disease training in Europe: current status, disparities and potential solutions.

OBJECTIVES: This study aimed to determine the status of training of adult congenital heart disease (ACHD) cardiologists in Europe. METHODS: A questionnaire was sent to ACHD cardiologists from 34 European countries. RESULTS: Representatives from 31 of 34 countries (91%) responded. ACHD cardiology was recognised by the respective ministry of Health in two countries (7%) as a subspecialty. Two countries (7%) have formally recognised ACHD training programmes, 15 (48%) have informal (neither accredited nor certified) training and 14 (45%) have very limited or no programme. Twenty-five countries (81%) described training ACHD doctors 'on the job'. The median number of ACHD centres per country was 4 (range 0-28), median number of ACHD surgical centres was 3 (0-26) and the median number of ACHD training centres was 2 (range 0-28). An established exit examination in ACHD was conducted in only one country (3%) and formal certification provided by two countries (7%). ACHD cardiologist number versus gross domestic product Pearson correlation coefficient=0.789 (p<0.001). CONCLUSION: Formal or accredited training in ACHD is rare among European countries. Many countries have very limited or no training and resort to 'train people on the job'. Few countries provide either an exit examination or certification. Efforts to harmonise training and establish standards in exit examination and certification may improve training and consequently promote the alignment of high-quality patient care.

A bioinformatics framework for genotype-phenotype correlation in humans with Marfan syndrome caused by FBN1 gene mutations.

Mutations in the human FBN1 gene are known to be associated with the Marfan syndrome, an autosomal dominant inherited multi-systemic connective tissue disorder. However, in the absence of solid genotype-phenotype correlations, the identification of an FBN1 mutation has only little prognostic value. We propose a bioinformatics framework for the mutated FBN1 gene which comprises the collection, management, and analysis of mutation data identified by molecular genetic analysis (DHPLC) and data of the clinical phenotype. To query our database at different levels of information, a relational data model, describing mutational events at the cDNA and protein levels, and the disease's phenotypic expression from two alternative views, was implemented. For database similarity requests, a query model which uses a distance measure based on log-likelihood weights for each clinical manifestation, was introduced. A data mining strategy for discovering diagnostic markers, classification and clustering of phenotypic expressions was provided which enabled us to confirm some known and to identify some new genotype-phenotype correlations.