| Title: | Global longitudinal active strain energy density (GLASED): a powerful prognostic marker in a community-based cohort |
| Journal: | European Heart Journal - Cardiovascular Imaging |
| Published: | 20 May 2024 |
| Pubmed: | https://pubmed.ncbi.nlm.nih.gov/38768297/ |
| DOI: | https://doi.org/10.1093/ehjci/jeae133 |
| URL: | https://academic.oup.com/ehjcimaging/advance-article-pdf/doi/10.1093/ehjci/jeae133/57768396/jeae133.pdf |
| Citations: | 1 (1 in last 2 years) as of 8 Aug 2024 |
Publication 12036
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Abstract
BACKGROUND: Identifying the imaging method that best predicts all-cause mortality, cardiovascular adverse events and heart failure risk is crucial for tailoring optimal management. Potential prognostic markers include left ventricular myocardial mass, ejection fraction, myocardial strain, stroke work, contraction fraction, pressure-strain product and a new measurement called global longitudinal active strain density (GLASED).</p>
OBJECTIVES: This study sought to compare the utility of 23 potential left ventricular prognostic markers of structure and contractile function in a community-based cohort.</p>
METHODS: The impact of cardiovascular magnetic resonance image-derived markers extracted by machine learning algorithms was compared to the future risk of adverse events in a group of 44,957 UK Biobank participants.</p>
RESULTS: Most markers, including the left ventricular ejection fraction, have limited prognostic value. GLASED was significantly associated with all-cause mortality and major adverse cardiovascular events, with the largest hazard ratio, highest ranking and differentiated risk in all three tertiles (P ≤ 0.0003).</p>
CONCLUSIONS: GLASED predicted all-cause mortality and major cardiovascular adverse events better than conventional markers of risk and is recommended for assessing patient prognosis.</p>
5 Authors
- Nay Aung
- David H MacIver
- Henggui Zhang
- Sucharitha Chadalavada
- Steffen E Petersen
1 Application
| Application ID | Title |
|---|---|
| 2964 | Description of cardiovascular phenotype in the UK Biobank population based on cardiovascular magnetic resonance and carotid ultrasound |
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