Publications by authors named "Anna Clara Nolden"
Background And Aims: Heart failure (HF) is an imminent global health problem. Yet established screening algorithms for asymptomatic pre-HF, allowing for early and effective preventive interventions, are largely lacking. The HERZCHECK trial, conducted in structurally underserved rural regions of North-Eastern Germany, aims to close this gap by evaluating the feasibility, diagnostic efficacy, and cost-effectiveness of a fully mobile, telemedically-supervised screening approach, combining cardiac magnetic resonance imaging (CMR) and laboratory testing as central elements.
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- Extensive research has shown that cardiovascular magnetic resonance (CMR) is effective for diagnosing and monitoring cardiovascular diseases but is underused in clinical settings due to reimbursement issues.
- A survey of 144 healthcare professionals revealed that while respondents recognized social impacts and some CMR benefits, significant gaps in knowledge about its full capabilities and advantages were present.
- Despite these gaps, there was a positive attitude towards CMR, with many participants willing to travel and pay for the procedure, indicating a need for better awareness and educational strategies to enhance its use in healthcare.
A simplified approach to discriminate between healthy subjects and patients with heart failure using cardiac magnetic resonance myocardial deformation imaging.
Undine Ella Witt Maximilian Leo Müller Rebecca Elisabeth Beyer Johannes Wieditz Susanna Salem Anna Clara Nolden
Eur Heart J Imaging Methods Pract
July 2024
Article Synopsis
- Left ventricular global longitudinal strain (LV-GLS) is a promising early marker for heart failure, and this study aimed to establish cut-off points to distinguish healthy hearts from those affected by heart failure using different imaging techniques.
- The study analyzed data from healthy subjects and heart failure patients to determine LV-GLS cut-offs, finding values of -19.3% for fast strain-encoded imaging (fSENC) and -15.1% for feature tracking (FT) to differentiate healthy individuals from those with heart failure.
- Both techniques effectively identify heart failure with consistent results, and a conversion factor was established to translate LV-GLS between fSENC and FT, suggesting a simplified threshold of -15% for FT