Impact of chronic kidney disease on efficacy and safety of interventional left atrial appendage closure - results from the prospective multicenter LAARGE registry (2019) Fastner C, Brachmann J, Lewalter T, Zeymer U, Sievert H, Nienaber CA, Weiss C, et al. Conference contribution Comparison between treatment of "established" versus complex "off-label" coronary lesions with Absorb bioresorbable scaffold implantation: results from the GABI-R registry (2019) Huseynov A, Baumann S, Nef H, Riemer T, Schneider S, Pfannebecker T, Achenbach S, et al. Conference contribution Prognostic value and incremental benefit of ischaemic myocardial burden subtended by non-invasive CT-derived fractional flow reserve (FFRCT) significant stenoses (2019) Ihdayhid AR, Norgaard BL, Khav N, Gaur S, Leipsic J, Nerlekar N, Osawa K, et al. Conference contribution Frailty and in-hospital outcomes in percutaneous coronary interventions (2019) Kwok CS, Achenbach S, Curzen N, Fischman DL, Savage M, Bagur R, Kontopantelis E, et al. Conference contribution Reduction in blood pressure following renal denervation for patients with differing baseline cardiovascular risk (2019) Mahfoud F, Mancia G, Schmieder R, Narkiewicz K, Ruilope L, Schlaich M, Williams B, et al. Conference contribution Indications, procedural parameters, complications and consequences of fractional flow reserve measurements in a multicenter cohort (2019) Tröbs M, Gaede L, Feyrer J, Nazli B, Moellmann H, Giesler T, Rittger H, et al. Conference contribution Fully automated epicardial adipose tissue volume and density measured from non-contrast CT predict major adverse cardiovascular events in asymptomatic subjects (2019) Mcelhinney P, Eisenberg E, Commandeur F, Chen X, Cadet S, Göller M, Cantu S, et al. Conference contribution Perivascular fat attenuation index stratifies the cardiac risk associated with high-risk plaque features on coronary computed tomography angiography (2019) Oikonomou EK, Mancio J, Kotanidis CK, Thomas KE, Alashi A, Centeno EH, Antonopoulos AS, et al. Conference contribution Automated quantification of epicardial adipose tissue from non-contrast CT on multi-center and multi-vendor data using deep learning (2019) Commandeur F, Göller M, Razipour A, Cadet S, Hell M, Kwiecinski J, Chen X, et al. Conference contribution Machine learning to predict the long-term risk of myocardial infarction and cardiac death based on clinical risk, coronary calcium and epicardial adipose tissue: a prospective study (2019) Commandeur FC, Slomka PJ, Göller M, Chen X, Cadet S, Razipour A, Gransar H, et al. Conference contribution