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


ABSTRACT:

Background

Heart failure (HF) with preserved or mildly reduced ejection fraction includes a heterogenous group of patients. Reclassification into distinct phenogroups to enable targeted interventions is a priority. This study aimed to identify distinct phenogroups, and compare phenogroup characteristics and outcomes, from electronic health record data.

Methods

2,187 patients admitted to five UK hospitals with a diagnosis of HF and a left ventricular ejection fraction ≥ 40% were identified from the NIHR Health Informatics Collaborative database. Partition-based, model-based, and density-based machine learning clustering techniques were applied. Cox Proportional Hazards and Fine-Gray competing risks models were used to compare outcomes (all-cause mortality and hospitalisation for HF) across phenogroups.

Results

Three phenogroups were identified: (1) Younger, predominantly female patients with high prevalence of cardiometabolic and coronary disease; (2) More frail patients, with higher rates of lung disease and atrial fibrillation; (3) Patients characterised by systemic inflammation and high rates of diabetes and renal dysfunction. Survival profiles were distinct, with an increasing risk of all-cause mortality from phenogroups 1 to 3 (p < 0.001). Phenogroup membership significantly improved survival prediction compared to conventional factors. Phenogroups were not predictive of hospitalisation for HF.

Conclusions

Applying unsupervised machine learning to routinely collected electronic health record data identified phenogroups with distinct clinical characteristics and unique survival profiles.

SUBMITTER: Soltani F 

PROVIDER: S-EPMC11229019 | biostudies-literature | 2024 Jul

REPOSITORIES: biostudies-literature

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

Soltani Fardad F   Jenkins David A DA   Kaura Amit A   Bradley Joshua J   Black Nicholas N   Farrant John P JP   Williams Simon G SG   Mulla Abdulrahim A   Glampson Benjamin B   Davies Jim J   Papadimitriou Dimitri D   Woods Kerrie K   Shah Anoop D AD   Thursz Mark R MR   Williams Bryan B   Asselbergs Folkert W FW   Mayer Erik K EK   Herbert Christopher C   Grant Stuart S   Curzen Nick N   Squire Iain I   Johnson Thomas T   O'Gallagher Kevin K   Shah Ajay M AM   Perera Divaka D   Kharbanda Rajesh R   Patel Riyaz S RS   Channon Keith M KM   Lee Richard R   Peek Niels N   Mayet Jamil J   Miller Christopher A CA  

BMC cardiovascular disorders 20240705 1


<h4>Background</h4>Heart failure (HF) with preserved or mildly reduced ejection fraction includes a heterogenous group of patients. Reclassification into distinct phenogroups to enable targeted interventions is a priority. This study aimed to identify distinct phenogroups, and compare phenogroup characteristics and outcomes, from electronic health record data.<h4>Methods</h4>2,187 patients admitted to five UK hospitals with a diagnosis of HF and a left ventricular ejection fraction ≥ 40% were id  ...[more]

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