Purpose: Primary graft dysfunction (PGD) is the leading cause of early mortality after heart transplantation (HT). Our current local incidence rate of severe PGD is 15% per year, which is double the international average. The International Consortium on PGD was established to identify contemporary risk factors for PGD and as a part of this multicenter collaboration, we trained a multicenter machine learning (ML) algorithm to predict the risk of severe PGD. In this study, we aimed to validate the PGD-AI calculator in our local contemporary population and evaluate its potential as a tool for improving outcomes following HT.

Primary graft dysfunction (PGD) is the leading cause of early mortality after a heart transplantation (HT). Our current incidence rate of severe PGD is 15% per year, which is twice the international average. The International Consortium on PGD was established to identify contemporary risk factors for PGD and as a part of this multicenter collaboration, we trained a multicenter machine learning (ML) algorithm to predict the risk of severe PGD. In this study, we aimed to validate the AI-PGD calculator in our local contemporary population and evaluate its potential as a tool for improving outcomes following HT.

Chronic thromboembolic pulmonary hypertension (CTEPH) is a devastating disease, but is treatable with pulmonary endarterectomy (PEA) and life-long anticoagulation (AC). Direct oral anticoagulants (DOACs) are largely replacing vitamin K antagonists (VKAs) as first line AC for many indications, but data is limited in the post-PEA setting. We aimed to compare DOACs to VKAs in CTEPH post-PEA patients for recurrent VTE, composite major bleeding (MB) and clinically relevant non-major bleeding (CRNMB) (ISTH definitions), MB, CRNMB, overall mortality, and initiation of targeted pulmonary hypertension therapy (TPHT).

Post-operative atrial fibrillation (POAF) after coronary artery bypass graft (CABG) surgery had been associated with death and adverse cardiovascular (CV) outcomes. However, prior studies were limited by non-surgical comparator groups, might not have fully excluded those with prior AF, and consequently could have overestimated the risks associated with POAF. From a population-based registry, we examined whether new-onset POAF after CABG was associated with adverse outcomes in older patients over long-term follow-up.