Dataset Information

Aetiological classification and prognosis in patients with heart failure with preserved ejection fraction.

ABSTRACT:

Aims

Heart failure with preserved ejection fraction (HFpEF) is a heterogeneous syndrome with various causes that may influence prognosis.

Methods and results

We extracted the electronic medical records for 2180 consecutive patients hospitalized between 2016 and 2019 for decompensated heart failure. Using a text mining algorithm looking for a left ventricular ejection fraction ≥50% and plasma brain natriuretic peptide level >100 pg/mL, we identified 928 HFpEF patients. We screened for a prevailing cause of HFpEF according to European guidelines and found that 418 (45.0%) patients had secondary HFpEF due to either myocardial (n = 125, 13.5%) or loading condition abnormalities (n = 293, 31.5%), while the remaining 510 (55.0%) patients had idiopathic HFpEF. We assessed the association between the causes of HFpEF and survival collected up to 31 December 2020 using Cox proportional hazards analysis. Even though patients with idiopathic HFpEF were older, frequently female, and had frequent co-morbidities and a higher crude mortality rate compared with secondary HFpEF patients, their prognosis was similar after adjustment for age and sex. Unsupervised clustering analysis revealed three main phenogroups with different distribution of idiopathic vs. secondary HFpEF. The phenogroup with the highest proportion of idiopathic HFpEF (69%) had (i) an excess rate of non-cardiac co-morbidities including chronic obstructive pulmonary disease (31%) or obesity (41%) and (ii) a better prognosis compared with the two other phenogroups enriched with secondary HFpEF.

Conclusions

Aetiological classification provides clinical and prognostic information and may be useful to better decipher the clinical heterogeneity of HFpEF.

SUBMITTER: Fayol A

PROVIDER: S-EPMC8788026 | biostudies-literature | 2022 Feb

REPOSITORIES: biostudies-literature

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Publications

Aetiological classification and prognosis in patients with heart failure with preserved ejection fraction.

Fayol Antoine A Wack Maxime M Livrozet Marine M Carves Jean-Baptiste JB Domengé Orianne O Vermersch Eva E Mirabel Mariana M Karras Alexandre A Le Guen Julien J Blanchard Anne A Azizi Michel M Amar Laurence L Bories Marie-Cécile MC Mousseaux Elie E Carette Claire C Puymirat Etienne E Hagège Albert A Jannot Anne-Sophie AS Hulot Jean-Sébastien JS

ESC heart failure 20211129 1

<h4>Aims</h4>Heart failure with preserved ejection fraction (HFpEF) is a heterogeneous syndrome with various causes that may influence prognosis.<h4>Methods and results</h4>We extracted the electronic medical records for 2180 consecutive patients hospitalized between 2016 and 2019 for decompensated heart failure. Using a text mining algorithm looking for a left ventricular ejection fraction ≥50% and plasma brain natriuretic peptide level >100 pg/mL, we identified 928 HFpEF patients. We screened ...[more]

PMID: 34841727

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Project description:AimsHeart failure (HF) with preserved ejection fraction (HFpEF) is a complex syndrome with a poor prognosis. Phenotyping is required to identify subtype-dependent treatment strategies. Phenotypes of Japanese HFpEF patients are not fully elucidated, whose obesity is much less than Western patients. This study aimed to reveal model-based phenomapping using unsupervised machine learning (ML) for HFpEF in Japanese patients.Methods and resultsWe studied 365 patients with HFpEF (left ventricular ejection fraction >50%) as a derivation cohort from the Nara Registry and Analyses for Heart Failure (NARA-HF), which registered patients with hospitalization by acute decompensated HF. We used unsupervised ML with a variational Bayesian-Gaussian mixture model (VBGMM) with common clinical variables. We also performed hierarchical clustering on the derivation cohort. We adopted 230 patients in the Japanese Heart Failure Syndrome with Preserved Ejection Fraction Registry as the validation cohort for VBGMM. The primary endpoint was defined as all-cause death and HF readmission within 5 years. Supervised ML was performed on the composite cohort of derivation and validation. The optimal number of clusters was three because of the probable distribution of VBGMM and the minimum Bayesian information criterion, and we stratified HFpEF into three phenogroups. Phenogroup 1 (n = 125) was older (mean age 78.9 ± 9.1 years) and predominantly male (57.6%), with the worst kidney function (mean estimated glomerular filtration rate 28.5 ± 9.7 mL/min/1.73 m2 ) and a high incidence of atherosclerotic factor. Phenogroup 2 (n = 200) had older individuals (mean age 78.8 ± 9.7 years), the lowest body mass index (BMI; 22.78 ± 3.94), and the highest incidence of women (57.5%) and atrial fibrillation (56.5%). Phenogroup 3 (n = 40) was the youngest (mean age 63.5 ± 11.2) and predominantly male (63.5 ± 11.2), with the highest BMI (27.46 ± 5.85) and a high incidence of left ventricular hypertrophy. We characterized these three phenogroups as atherosclerosis and chronic kidney disease, atrial fibrillation, and younger and left ventricular hypertrophy groups, respectively. At the primary endpoint, Phenogroup 1 demonstrated the worst prognosis (Phenogroups 1-3: 72.0% vs. 58.5% vs. 45%, P = 0.0036). We also successfully classified a derivation cohort into three similar phenogroups using VBGMM. Hierarchical and supervised clustering successfully showed the reproducibility of the three phenogroups.ConclusionsML could successfully stratify Japanese HFpEF patients into three phenogroups (atherosclerosis and chronic kidney disease, atrial fibrillation, and younger and left ventricular hypertrophy groups).

Project description:BackgroundInterleukin (IL)-6 is a central inflammatory mediator and potential therapeutic target in heart failure (HF). Prior studies have shown that IL-6 concentrations are elevated in patients with HF, but much fewer data are available in heart failure with preserved ejection fraction (HFpEF).ObjectivesThis study aims to determine how IL-6 relates to changes in cardiac function, congestion, body composition, and exercise tolerance in HFpEF.MethodsClinical, laboratory, body composition, exercise capacity, physiologic and health status data across 4 National Heart, Lung, and Blood Institute-sponsored trials were analyzed according to the tertiles of IL-6.ResultsIL-6 was measured in 374 patients with HFpEF. Patients with highest IL-6 levels had greater body mass index; higher N-terminal pro-B-type natriuretic peptide, C-reactive protein, and tumor necrosis factor-α levels; worse renal function; and lower hemoglobin levels, and were more likely to have diabetes. Although cardiac structure and function measured at rest were similar, patients with HFpEF and highest IL-6 concentrations had more severely impaired peak oxygen consumption (12.3 ± 3.3 mL/kg/min 13.1 ± 3.1 mL/kg/min 14.4 ± 3.9 mL/kg/min, P < 0.0001) as well as 6-minute walk distance (276 ± 107 m vs 332 ± 106 m vs 352 ± 116 m, P < 0.0001), even after accounting for increases in IL-6 related to excess body mass. IL-6 concentrations were associated with increases in total body fat and trunk fat, more severe symptoms during submaximal exercise, and poorer patient-reported health status.ConclusionsIL-6 levels are commonly elevated in HFpEF, and are associated with greater symptom severity, poorer exercise capacity, and more upper body fat accumulation. These findings support testing the hypothesis that therapies that inhibit IL-6 in patients with HFpEF may improve clinical status. (Clinical Trial Registrations: Phosphodiesterase-5 Inhibition to Improve Clinical Status and Exercise Capacity in Diastolic Heart Failure [RELAX], NCT00763867; Nitrate's Effect on Activity Tolerance in Heart Failure With Preserved Ejection Fraction, NCT02053493; Inorganic Nitrite Delivery to Improve Exercise Capacity in HFpEF, NCT02742129; Inorganic Nitrite to Enhance Benefits From Exercise Training in Heart Failure With Preserved Ejection Fraction [HFpEF], NCT02713126).

Project description:BackgroundIn heart failure with reduced ejection fraction (HFrEF), elevated soluble neprilysin (sNEP) levels are associated with an increased risk of cardiovascular death, and its inhibition with sacubitril/valsartan has improved survival.ObjectivesThis study sought to determine the relevance of sNEP as a biomarker in heart failure with preserved ejection fraction (HFpEF) and to compare circulating sNEP levels in patients with HFpEF with normal controls.MethodsA case-control study was performed in 242 symptomatic patients with HFpEF previously enrolled in the Phosphodiesterase-5 Inhibition to Improve Clinical Status and Exercise Capacity in Heart Failure with Preserved Ejection Fraction (RELAX) and Nitrates's Effect on Activity Tolerance in Heart Failure With Preserved Ejection (NEAT-HFpEF) clinical trials and 891 asymptomatic subjects without HF or diastolic dysfunction (confirmed by NT-proBNP levels <200 pg/ml and echocardiography) who were enrolled in the Prevalence of Asymptomatic Left Ventricular Dysfunction study. sNEP was measured using a sandwich enzyme-linked immunosorbent assay (ELISA) in all subjects.ResultsOverall, sNEP levels were lower in HFpEF compared with controls (3.5 ng/ml; confidence interval [CI]: 2.5 to 4.8 vs. 8.5 ng/ml; CI: 7.2 to 10.0; p < 0.001). After adjusting for age, gender, body mass index (BMI), and smoking history, mean sNEP levels were also lower in HFpEF compared with controls (4.0 ng/ml [CI: 2.7 to 5.4] vs. 8.2 ng/ml [CI: 6.8 to 9.7]; p = 0.002). The cohorts were propensity matched based on age, BMI, diabetes, hypertension, smoking history, and renal function, and sNEP levels remained lower in HFpEF compared with controls (median 2.4 ng/ml [interquartile range: 0.6 to 27.7] vs. 4.9 ng/ml [interquartile range: 1.2 to 42.2]; p = 0.02).ConclusionsPatients with HFpEF on average have significantly lower circulating sNEP levels compared with controls. These findings challenge our current understanding of the complex biology of circulating sNEP in HFpEF.

Dataset Information

Aetiological classification and prognosis in patients with heart failure with preserved ejection fraction.

Aims

Methods and results

Conclusions

Publications

Aetiological classification and prognosis in patients with heart failure with preserved ejection fraction.

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