Search

Life expectancy of patients with congenital heart disease (CHD) has increased in recent decades; however, late complications remain frequent and difficult to predict. Progress in data science has spurred the development of decision support systems and could aid physicians in predicting clinical deterioration and in the management of CHD patients. Newly developed artificial intelligence (AI) algorithms have shown performances comparable to humans in clinical diagnostics using statistical and computational algorithms and are expected to partly surpass human intelligence in the near future. Although much research on AI has been performed in patients with acquired heart disease, little data is available with respect to research on AI in patients with CHD. Learning algorithms in patients with CHD have shown to be promising in the interpretation of ECG, cardiac imaging, and the prediction of surgical outcome. However, current learning algorithms are not accurate enough to be implemented into daily clinical practice. Data on AI possibilities remain scarce in patients with CHD, and studies on large data sets are warranted to increase sensitivity, specificity, accuracy, and clinical relevance of these algorithms.

Supplemental material, sj-pdf-1-eso-10.1177_2396987320962911 for Mind the Heart: Electrocardiography-gated cardiac computed tomography-angiography in acute ischaemic stroke—rationale and study design by Valeria Guglielmi, Leon A Rinkel, Nina-Suzanne Groeneveld, Nick HJ Lobé, S Matthijs Boekholdt, Berto J Bouma, Ludo FM Beenen, Henk A Marquering, Charles BLM Majoie, Yvo BWEM Roos, Adrienne van Randen, R Nils Planken and Jonathan M Coutinho in European Stroke Journal

Objective Contemporary data on patients with previously undiagnosed severe aortic stenosis (AS) are scarce. We aimed to address this gap by gathering data from consecutive patients diagnosed with severe AS on echocardiography. Methods This was a prospective, multicentre, multinational, registry in 23 tertiary care hospitals across 9 European countries. Patients with a diagnosis of severe AS were included using echocardiography (aortic valve area (AVA) 4 m/s and/or mean transvalvular gradient >40 mm Hg). Results The 2171 participants had a mean age of 77.9 years and 48.0% were female. The mean AVA was 0.73 cm 2, V max 4.3 m/s and mean gradient 47.1 mm Hg; 62.1% had left ventricular hypertrophy and 27.3% an ejection fraction (EF)

Item does not contain fulltext OBJECTIVE: To evaluate differences in functional parameters and reproducibility between short axis and axial slice orientation in the quantitative evaluation of the systemic right ventricle by cardiovascular magnetic resonance. DESIGN: Cross-sectional evaluation comparing two methods (Bland-Altman). SETTING: Tertiary care outpatients. INTERVENTIONS: Quantitative cardiovascular magnetic resonance evaluation using short axis or axial slice orientation. MAIN OUTCOME MEASURES: Intraobserver variance, interobserver variance and systematic differences in systemic right ventricular volumes, ejection fraction, and mass between both methods. PATIENTS: Twenty-two patients (mean age 33 +/- 7 years) with systemic right ventricle (three with congenitally corrected transposition of the great arteries and 19 with atrially switched transposition of the great arteries). RESULTS: Compared with short axis slices, analysis of axial slices resulted in higher end systolic volume (6.6%, P < .01), while mass (-10.8%, P < .01) and ejection fraction (-8.9%, P < .01) turned out lower. Intraobserver and interobserver reproducibility were similar for both methods when measuring end-diastolic and end-systolic volumes. However, ejection fraction and stroke volume were measured more consistently in axial orientation, while ventricular mass was measured more consistently in short axis orientation. CONCLUSION: There are significant differences in volume, mass, and function between measurements in axial and short axis orientation. Ejection fraction and stroke volume, which have a high clinical relevance, were measured more consistently in axial slice orientation. Consequently, we recommend using axial slice orientation in patients with a systemic right ventricle.