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Unsupervised cluster analysis of patients with recovered left ventricular ejection fraction identifies unique clinical phenotypes

Author

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  • Andrew Perry
  • Francis Loh
  • Luigi Adamo
  • Kathleen W Zhang
  • Elena Deych
  • Randi Foraker
  • Douglas L Mann

Abstract

Background: Patients with heart failure (HF) with recovered ejection fraction (HFrecEF) are a recently identified cohort that are phenotypically and biologically different from HFrEF and HFpEF patients. Whether there are unique phenotypes among HFrecEF patients is not known. Methods: We studied all patients at a large medical center, who had an improvement in LVEF from ≤ 35% to ≥ 50% (LVrecEF) between January 1, 2005 and December 31, 2013. We identified a set of 11 clinical variables and then performed unsupervised clustering analyses to identify unique clinical phenotypes among patients with LVrecEF, followed by a Kaplan-Meier analysis to identify differences in survival and the proportion of LVrecEF patients who maintained an LVEF ≥ 50% during the study period. Results: We identified 889 patients with LVrecEF who clustered into 7 unique phenotypes ranging in size from 37 to 420 patients. Kaplan-Meier analysis demonstrated significant differences in mortality across clusters (logrank p

Suggested Citation

  • Andrew Perry & Francis Loh & Luigi Adamo & Kathleen W Zhang & Elena Deych & Randi Foraker & Douglas L Mann, 2021. "Unsupervised cluster analysis of patients with recovered left ventricular ejection fraction identifies unique clinical phenotypes," PLOS ONE, Public Library of Science, vol. 16(3), pages 1-13, March.
    • Handle: RePEc:plo:pone00:0248317
    DOI: 10.1371/journal.pone.0248317
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    Cited by:

    1. Maciej T. Wybraniec & Michał Orszulak & Klaudia Męcka & Katarzyna Mizia-Stec, 2022. "Heart Failure with Improved Ejection Fraction: Insight into the Variable Nature of Left Ventricular Systolic Function," IJERPH, MDPI, vol. 19(21), pages 1-20, November.

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