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Differences in Repolarization Heterogeneity Among Heart Failure With Preserved Ejection Fraction Phenotypic Subgroups
- Source :
- The American Journal of Cardiology. 120:601-606
- Publication Year :
- 2017
- Publisher :
- Elsevier BV, 2017.
-
Abstract
- Heart failure with preserved ejection fraction (HFpEF) is a highly heterogeneous syndrome associated with multiple medical comorbidities and pathophysiologic pathways or phenotypes. We recently developed a phenomapping method combining deep phenotyping with machine learning analysis to classify HFpEF patients into 3 clinically distinct phenotypic subgroups (phenogroups) with different clinical outcomes. Phenogroup #1 was younger with lower B-type natriuretic peptide levels, phenogroup #2 had the highest prevalence of obesity and diabetes mellitus, and phenogroup #3 was the oldest with the most factors for chronic kidney disease, the most dysfunctional myocardial mechanics, and the highest adverse outcomes. The pathophysiological differences between these phenogroups, however, remain incompletely described. We sought to evaluate whether these 3 groups differ on the basis of repolarization heterogeneity, which has previously been linked to adverse outcomes in HFpEF. The T-peak to T-end (TpTe) interval, a well-validated index of repolarization heterogeneity, was measured by 2 readers blinded to each other and all other clinical data on the electrocardiograms of 201 HFpEF patients enrolled in a systematic observational study. TpTe duration was associated with higher B-type natriuretic peptide level (p = 0.006), increased QRS-T angle (p = 0.008), and lower septal e' velocity (p = 0.007). TpTe duration was greatest in phenogroup #3 (100.4 ± 24.5 ms) compared with phenogroups #1 (91.2 ± 17.3 ms) and #2 (90.2 ± 17.0 ms) (p = 0.0098). On multivariable analyses, increased TpTe was independently associated with the high-risk phenogroup #3 classification. In conclusion, repolarization heterogeneity is a marker of a specific subset of HFpEF patients identified using unsupervised machine learning analysis and therefore may be a key pathophysiologic marker in this subset of HFpEF patients.
- Subjects :
- Male
medicine.medical_specialty
medicine.drug_class
Heart Ventricles
030204 cardiovascular system & hematology
Severity of Illness Index
Electrocardiography
03 medical and health sciences
0302 clinical medicine
Internal medicine
Diabetes mellitus
Natriuretic Peptide, Brain
Outpatients
Severity of illness
medicine
Natriuretic peptide
Humans
Repolarization
Prospective Studies
030212 general & internal medicine
Prospective cohort study
Aged
Retrospective Studies
Heart Failure
medicine.diagnostic_test
business.industry
Stroke Volume
Middle Aged
Prognosis
medicine.disease
Echocardiography, Doppler
Phenotype
Cardiology
Female
Cardiology and Cardiovascular Medicine
Heart failure with preserved ejection fraction
business
Biomarkers
Kidney disease
Subjects
Details
- ISSN :
- 00029149
- Volume :
- 120
- Database :
- OpenAIRE
- Journal :
- The American Journal of Cardiology
- Accession number :
- edsair.doi.dedup.....da43f6d735170f821dd9d0643e4edb02
- Full Text :
- https://doi.org/10.1016/j.amjcard.2017.05.031