Publications by authors named "C Lober"
Machine learning-based prediction of 1-year all-cause mortality in patients undergoing CRT implantation: validation of the SEMMELWEIS-CRT score in the European CRT Survey I dataset.
Eur Heart J Digit Health
September 2024
Article Synopsis
- The study aimed to validate the SEMMELWEIS-CRT score for predicting 1-year all-cause mortality in patients receiving Cardiac Resynchronization Therapy (CRT) using a large European dataset.
- The tool showed strong predictive ability, with an area under the receiver operating characteristic curve (AUC) of 0.729, and outperformed traditional risk scores while correlating higher predicted mortality with increased hospitalization risks.
- The findings confirm the SEMMELWEIS-CRT score's effectiveness and potential clinical use as a reliable tool for risk stratification in CRT patients.
Objectives: To asses mid-term clinical outcomes of bioresorbable vascular scaffolds (BVS) for the treatment of coronary artery disease in a large-scale all-comers population.
Background: Several clinical settings are underrepresented in randomized studies investigating BVS against drug-eluting stents. Whether their results can be translated into the heterogeny patient population seen during daily routine requires further investigation.
A multi-disciplinary work group involving stakeholders from various backgrounds and societies was convened to develop guidelines for the management of reconstruction after skin cancer resection. The goal was to identify areas of common ground and provide evidence-based recommendations to improve patient care. Given the heterogeneity of reconstructive techniques and clinical scenarios, investigation centered around common elements in the process.
View Article and Find Full Text PDFA multi-disciplinary work group involving stakeholders from various backgrounds and societies was convened to develop guidelines for the management of reconstruction after skin cancer resection. The goal was to identify areas of common ground and provide evidence-based recommendations to improve patient care. Given the heterogeneity of reconstructive techniques and clinical scenarios, investigation centered around common elements in the process.
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