Association of sodium-glucose cotransporter-2 inhibitors with mortality across the spectrum of myocardial infarction: a systematic review and meta-analysis.

Background: The impact of sodium-glucose cotransporter-2 (SGLT2) inhibitors on mortality following myocardial infarction (MI) remains uncertain. Additionally, the role of type 2 diabetes mellitus (T2DM) and heart failure (HF) in modulating the effectiveness of these drugs post-MI are not fully understood. This meta-analysis aimed to assess the association of SGLT2 inhibitors with all-cause mortality in post-MI patients and to explore key moderators influencing this benefit.

Sex-specific differences in echocardiographic parameters of risk stratification in pulmonary arterial hypertension.

Background: In healthy subjects, sex-differences in right heart function have already been detected for various echocardiographic parameters.

Research Question: The objective of the study was to investigate sex-differences in echocardiographic ESC/ERS risk stratification parameters and their impact on survival estimation in patients with pulmonary arterial hypertension (PAH).

Study Design And Methods: In this retrospective, cross-sectional study with a mean follow-up time of 3.

A pulmonary hypertension targeted algorithm to improve referral to right heart catheterization: A machine learning approach.

Background: Pulmonary hypertension (PH) is a pathophysiological problem that may involve several clinical symptoms and be linked to various respiratory and cardiovascular illnesses. Its diagnosis is made invasively by Right Cardiac Catheterization (RHC), which is difficult to perform routinely. Aim of the current study was to develop a Machine Learning (ML) algorithm based on the analysis of anamnestic data to predict the presence of an invasively measured PH.