Publications by authors named "C Pislaru"
Article Synopsis
- Exercise echocardiography helps identify non-coronary causes of dyspnea and evaluates the significance of elevated left ventricular (LV) filling pressures during physical activity.
- A study of 14,338 patients demonstrated that those with increased E/e' ratios (≥15) during exercise had significantly lower exercise capacity and higher rates of heart abnormalities and mortality compared to those with lower ratios.
- Elevated LV filling pressures indicate a greater risk for all-cause mortality, particularly in patients whose levels increased post-exercise, highlighting the need for further research in this area.
Bioprosthetic valve thrombosis is associated with accelerated bioprosthesis degeneration and valve re-replacement. Whether 3-month warfarin use after transcatheter aortic valve implantation (TAVI) protects against such consequences is unknown. We aimed to investigate if 3-month warfarin treatment after TAVI is associated with better outcomes than dual antiplatelet therapy (DAPT) and single antiplatelet therapy (SAPT) at medium-term follow-up.
View Article and Find Full Text PDFPulmonary artery pulsatility index in patients with tricuspid valve regurgitation: a simple non-invasive tool for risk stratification.
Eur Heart J Cardiovasc Imaging
August 2023
Aims: Tricuspid valve regurgitation (TR) is a common valvular disease associated with increased mortality. There is a need for tools to assess the interaction between the pulmonary artery (PA) circulation and the right ventricle in patients with TR and to investigate their association with outcomes. The pulmonary artery pulsatility index (PAPi) has emerged as a haemodynamic risk predictor in left heart disease and pulmonary hypertension (PH).
View Article and Find Full Text PDFBackground: The recent morphologic classification of tricuspid regurgitation (TR) (ie, atrial functional, ventricular functional, lead related, and primary) does not capture underlying comorbidities and clinical characteristics.
Objectives: This study aimed to identify the different phenotypes of TR using unsupervised cluster analysis and to determine whether differences in clinical outcomes were associated with these phenotypes.
Methods: We included 13,611 patients with ≥moderate TR from January 2004 to April 2019 in the final analyses.