Publications by authors named "Gerhard Harmsen"
Aims: Right ventricular to pulmonary artery (RV-PA) coupling has been established as a prognostic marker in patients with severe tricuspid regurgitation (TR) undergoing transcatheter tricuspid valve interventions (TTVI). RV-PA coupling assesses right ventricular systolic function related to pulmonary artery pressure levels, which are ideally measured by right heart catheterization. This study aimed to improve the RV-PA coupling concept by relating tricuspid annular plane systolic excursion (TAPSE) to mean pulmonary artery pressure (mPAP) levels.
View Article and Find Full Text PDFMachine learning identifies pathophysiologically and prognostically informative phenotypes among patients with mitral regurgitation undergoing transcatheter edge-to-edge repair.
Eur Heart J Cardiovasc Imaging
April 2023
Aims: Patients with mitral regurgitation (MR) present with considerable heterogeneity in cardiac damage depending on underlying aetiology, disease progression, and comorbidities. This study aims to capture their cardiopulmonary complexity by employing a machine-learning (ML)-based phenotyping approach.
Methods And Results: Data were obtained from 1426 patients undergoing mitral valve transcatheter edge-to-edge repair (MV TEER) for MR.
Article Synopsis
- Researchers think that special computer models can find important information about heart problems that doctors might miss.
- They used a model called CNN to study heart imaging from patients with severe aortic stenosis and found two different types of heart patterns.
- One group of patients had a much higher risk of dying, which shows that how the heart functions under pressure is really important for understanding their health.
Objective: A novel artificial intelligence-based phenotyping approach to stratify patients with severe aortic stenosis (AS) prior to transcatheter aortic valve replacement (TAVR) has been proposed, based on echocardiographic and haemodynamic data. This study aimed to analyse the recovery of extra-aortic valve cardiac damage in accordance with this novel stratification system following TAVR.
Methods: The proposed phenotyping approach was previously established employing data from 366 patients with severe AS from a bicentric registry.
Objectives: This study aimed to improve echocardiographic assessment of pulmonary hypertension (PH) in patients presenting with severe tricuspid regurgitation (TR).
Background: Echocardiographic assessment of PH in patients with severe TR carries several pitfalls for underestimation, hence concealing the true severity of PH in very sick patients in particular, and ultimately obscuring the impact of PH on survival after transcatheter tricuspid valve intervention (TTVI).
Methods: All patients in this study underwent TTVI for severe TR between 2016 and 2020.
Article Synopsis
- The study aimed to categorize patients with severe aortic stenosis using unsupervised machine learning techniques to better understand their clinical presentations.
- Researchers analyzed data from 366 patients undergoing treatment, identifying four distinct patient phenotypes based on their heart conditions and survival rates.
- The findings highlighted that patients with postcapillary pulmonary hypertension had varied survival outcomes, with the worst prognosis found in those with extensive heart dysfunction, emphasizing the complexity of managing severe aortic stenosis.