Longitudinal phenotyping of heart failure with preserved ejection fraction identifies early- and end-stage disease states.

Samuel Brown^1,2, Fardad Soltani³, Jack Wu², Matthew Ryan², Brett S Bernstein², Brian Tam To², Tom Searle⁴, Maleeha Rizvi^2,5, Natalie Fairhurst¹, George Kaye¹, Ranu Baral¹, Dhanushan Vijayakumar⁶, Daksh Mehta⁶, Zeeshan Khawaja¹, Phil Chowienczyk², James Teo^1,4, Richard Jb Dobson⁴, Daniel I Bromage^1,2, Gerald Carr-White⁵, Thomas F Lüscher⁷, Ali Vazir⁷, Theresa A McDonagh^1,2, Jessica Webb⁵, Christopher A Miller^3,8, Ajay M Shah^1,2, Dhruva Biswas⁹, Kevin O'Gallagher^10,2

¹King's College Hospital NHS Foundation Trust, London, UK.

²School of Cardiovascular and Metabolic Medicine & Sciences, British Heart Foundation Centre of Research Excellence, King's College London, London, UK.

³Division of Cardiovascular Sciences, The University of Manchester, Manchester, UK.

⁴Department of Biostatistics and Health Informatics, Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, UK.

⁵Guy's and St Thomas' NHS Foundation Trust, London, UK.

⁶King's College London GKT School of Medical Education, London, UK.

⁷Royal Brompton & Harefield NHS Foundation Trust, London, UK.

⁸Manchester University NHS Foundation Trust, Manchester, UK.

⁹School of Cardiovascular and Metabolic Medicine & Sciences, British Heart Foundation Centre of Research Excellence, King's College London, London, UK kevin.o'gallagher@kcl.ac.uk dhruva.biswas@kcl.ac.uk.

¹⁰King's College Hospital NHS Foundation Trust, London, UK kevin.o'gallagher@kcl.ac.uk dhruva.biswas@kcl.ac.uk.

PubMed DOI

Abstract

BACKGROUND AND AIMS: Heart failure with preserved ejection fraction (HFpEF) phenotypes have been characterised as static entities in trial populations yet their temporal dynamics remain unexplored in routine clinical practice. We aimed to identify HFpEF phenogroups from real-world electronic health records (EHRs), characterise their longitudinal stability and determine whether phenogroup trajector…

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