Alberto Garay

TL;DR: In this article, a machine learning-based risk stratification model was developed to predict all-cause death, recurrent acute myocardial infarction, and major bleeding after acute coronary syndrome (ACS).

TL;DR: Cancer has a non-negligible prevalence in patients with acute coronary syndrome undergoing percutaneous coronary intervention, with a major risk of cardiovascular events and bleedings, and these patients are often undertreated from clinical despite medical therapy seems to be protective.

TL;DR: The BleeMACS bleeding risk score is a simple tool useful for identifying those ACS patients at higher risk of serious 1-year post-discharge bleeding and the calibration was excellent in the derivation and validation cohorts.

TL;DR: Lower income was independently associated with higher mortality and with lower use of ambulatory-based healthcare resources, and the findings suggest that CHF patients may benefit from systematic assessment of their socioeconomic status, as this may aid the identification of vulnerable subgroups who may benefits from tailored health education and management.

TL;DR: In ACS patients with CKD, prasugrel and ticagrelor are associated with lower risk of death and recurrent MI without increasing the risk of MB and the reduction of risk of re-infarction was confirmed in patients with preserved renal function.