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Novel endotypes in heart failure: effects on guideline-directed medical therapy
J Tromp1,2,3, W Ouwerkerk2,4, B G Demissei1
1Department of Cardiology, University of Groningen, Hanzeplein 1, GZ, Groningen, the Netherlands.
Insights
Six heart failure subtypes (endotypes) were identified using biomarker profiles. These endotypes show distinct clinical characteristics, outcomes, and responses to guideline-directed medical therapy, enabling personalized treatment strategies for heart failure (HF) patients.
Area of Science:
- Cardiology
- Biomarker Discovery
- Personalized Medicine
Background:
- Heart failure (HF) is a complex syndrome with diverse patient profiles.
- Identifying distinct patient subgroups (endotypes) is crucial for tailoring treatment and improving outcomes.
Purpose of the Study:
- To determine heart failure (HF) subtypes with distinct clinical profiles and treatment responses.
- To utilize a comprehensive set of biomarkers across various pathophysiological domains for patient stratification.
Main Methods:
- Unsupervised cluster analysis of 92 cardiovascular biomarkers in 1802 patients with HF and reduced ejection fraction (HFrEF).
- Validation of identified endotypes in an independent cohort of 813 patients.
- Assessment of treatment response to guideline-directed medical therapy across identified endotypes.
Main Results:
- Six distinct endotypes of HFrEF were identified based on biomarker profiles.
- Endotype 4 exhibited severe HF symptoms and the highest risk for mortality/hospitalization.
- Differential responses to beta-blocker and ACE-inhibitor/ARB uptitration were observed across endotypes, with some endotypes showing potential harm or benefit.
Conclusions:
- Biomarker-based cluster analysis successfully identified six distinct heart failure endotypes.
- These endotypes possess unique clinical characteristics, prognoses, and differential responses to medical therapy.
- Findings support the potential for precision medicine approaches in managing heart failure based on identified endotypes.
Aims:
We sought to determine subtypes of patients with heart failure (HF) with a distinct clinical profile and treatment response, using a wide range of biomarkers from various pathophysiological domains.
Methods And Results:
We performed unsupervised cluster analysis using 92 established cardiovascular biomarkers to identify mutually exclusive subgroups (endotypes) of 1802 patients with HF and reduced ejection fraction (HFrEF) from the BIOSTAT-CHF project. We validated our findings in an independent cohort of 813 patients. Based on their biomarker profile, six endotypes were identified. Patients with endotype 1 were youngest, less symptomatic, had the lowest N-terminal pro-B-type natriuretic peptide (NT-proBNP) levels and lowest risk for all-cause mortality or hospitalization for HF. Patients with endotype 4 had more severe symptoms and signs of HF, higher NT-proBNP levels and were at highest risk for all-cause mortality or hospitalization for HF [hazard ratio (HR) 1.4; 95% confidence interval (CI) 1.1-1.8]. Patients with endotypes 2, 3, and 5 were better uptitrated to target doses of beta-blockers (P < 0.02 for all). In contrast to other endotypes, patients with endotype 5 derived no potential survival benefit from uptitration of angiotensin-converting enzyme-inhibitor/angiotensin-II receptor blocker and beta-blockers (Pinteraction <0.001). Patients with endotype 2 (HR 1.29; 95% CI 1.10-1.42) experienced possible harm from uptitration of beta-blockers in contrast to patients with endotype 4 and 6 that experienced benefit (Pinteraction for all <0.001). Results were strikingly similar in the independent validation cohort.
Conclusion:
Using unsupervised cluster analysis, solely based on biomarker profiles, six distinct endotypes were identified with remarkable differences in characteristics, clinical outcome, and response to uptitration of guideline directed medical therapy.
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