Publications by authors named "M S M van Mourik"

Aims: Smartphone applications for heart rate and rhythm assessment are increasingly used for the management of atrial fibrillation (AF). Although the use of a photoplethysmography (PPG)-based smartphone application with subsequent (tele)consultations for AF management has been proven feasible in the TeleCheck-AF project, specific needs, and expectations of patients with AF are unclear. The aim of this study is to evaluate patients' perspectives on the use of remote PPG-based electronical health (eHealth) integrated in regular care pathways for AF.

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Article Synopsis
  • Automation of surveillance of infectious diseases can streamline processes and enhance quality but faces implementation barriers.
  • The manuscript discusses the pros and cons of two strategies for automated surveillance: centralized and localized systems.
  • The concept of federated automated surveillance is proposed as a potential solution to challenges, facilitating better data access, maintaining privacy, and promoting international collaboration in monitoring healthcare-associated infections and severe respiratory illnesses.*
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The pericellular matrix (PCM) surrounding chondrocytes is essential for articular cartilage tissue engineering. As the current isolation methods to obtain chondrocytes with their PCM (chondrons) result in a heterogeneous mixture of chondrocytes and chondrons, regenerating the PCM using a tissue engineering approach could prove beneficial. In this study, we aimed to discern the behavior of articular chondrocytes (ACs) in regenerating the PCM in such an approach and whether this would also be true for articular cartilage-derived progenitor cells (ACPCs), as an alternative cell source.

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  • Accurate diagnosis of sarcopenia involves assessing muscle quality, specifically how much fat is infiltrated in muscle tissue, which is crucial for predicting mortality in TAVI patients.
  • The study analyzed CT scans from 1199 patients who underwent TAVI between 2010 and 2020, employing deep learning algorithms to measure skeletal muscle density (SMD) and intermuscular adipose tissue (IMAT).
  • Results indicated that low muscle quality, identified through both low SMD and high IMAT, significantly correlates with increased mortality risk, suggesting that muscle quality metrics are valuable predictors of health outcomes post-TAVI.
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Background: Detection of pathogen-related clusters within a hospital is key to early intervention to prevent onward transmission. Various automated surveillance methods for outbreak detection have been implemented in hospital settings. However, direct comparison is difficult due to heterogenicity of data sources and methodologies.

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