2 results match your criteria: "King's College London British Heart Foundation Centre of Excellence and King's College Hospital[Affiliation]"

Phenogrouping heart failure with preserved or mildly reduced ejection fraction using electronic health record data.

BMC Cardiovasc Disord

July 2024

Division of Cardiovascular Sciences, School of Medical Sciences, Faculty of Biology, Medicine and Health, Manchester Academic Health Science Centre, University of Manchester, Oxford Road, Manchester, M13 9PL, UK.

Article Synopsis
  • - This study focused on classifying patients with heart failure (HF) and preserved or mildly reduced ejection fraction into specific phenogroups to improve targeted treatment options.
  • - Researchers analyzed data from over 2,000 patients across five UK hospitals using advanced machine learning techniques and found three distinct phenogroups, each with different clinical traits and survival outcomes.
  • - The findings revealed that survival rates declined from the first phenogroup to the third, highlighting the importance of phenogroup membership in predicting survival better than traditional factors, though it did not predict hospitalisation for HF.
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The 2-dimensional silhouette image provided by coronary angiography has well-recognized limitations. Angiographic images do not accurately represent the true complexity of the luminal morphology in coronary disease and give no indication of the functional influence of luminal changes on coronary blood flow. These limitations are more pronounced in angiographically intermediate stenoses and in patients in whom there is a clear discrepancy between the clinical picture and angiographic findings.

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