Publications by authors named "B Werner"

Hypothesis And Background: Reverse shoulder arthroplasty (RSA) exhibits favorable outcomes in managing rotator cuff arthropathy, primary glenohumeral arthritis, and complex proximal humeral fractures. Despite its success and reliability, certain patients experience persistent pain and stiffness. The clinical utility of therapeutic arthroscopy in RSA patients remains an area for investigation.

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This study aimed to evaluate the accuracy of machine learning (ML) techniques in classifying pediatric individuals-cardiological patients, healthy participants, and athletes-based on cardiorespiratory features from short-term static measurements. It also examined the impact of cardiorespiratory coupling (CRC)-related features (from causal and information domains) on the modeling accuracy to identify a preferred cardiorespiratory feature set that could be further explored for specialized tasks, such as monitoring training progress or diagnosing health conditions. We utilized six self-prepared datasets that comprised various subsets of cardiorespiratory parameters and applied several ML algorithms to classify subjects into three distinct groups.

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The goal of this study was to assess if body mass index (BMI) affects the pace of cardiac muscle recovery in children after Pediatric Inflammatory Multisystem Syndrome Temporally Associated with SARS-CoV-2/COVID-19 (PIMS-TS). A prospective single-center study enrolled consecutive children hospitalized with PIMS-TS between October 2020 and February 2022 and followed up after 6 weeks and 6 months. In all children, three-dimensional echocardiography and global longitudinal strain were used to assess ventricular function and the results were analyzed according to patients' BMI status.

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