Biomarker-Informed Phenotyping of the Heart Failure Continuum: A Population-Based Evaluation of the Second Universal Definition of Heart Failure
- 1Cornell University
Abstract
Objective: To develop and evaluate a biomarker-informed, computable phenotype of the heart failure (HF) continuum, aligned with 2026 AHA/ACC/ESC/WHF Expert Consensus, using NHANES and linked mortality data, and to determine whether this phenotype identifies subgroups with distinct mortality risks. Methods: We analyzed 11,477 U.S. adults aged [≥]20 years from the 1999-2004 NHANES cycles who participated in the surplus-sera biomarker substudy and were linked to National Death Index follow-up. Participants were classified into four phenotypes according to the 2026 Universal Definition of Heart Failure: no apparent risk, Stage A (at risk), Stage B (elevated NT-proBNP without self-reported HF), and Stage C (self-reported HF). Survey-weighted Kaplan-Meier curves and nested, multiply imputed Cox proportional hazards models, with sequential adjustment for demographic, socioeconomic, and cardiometabolic covariates, were used to estimate associations with mortality. Pairwise phenotype comparisons, standardized adjusted survival estimates, and restricted mean survival times were also calculated. Incremental prognostic value was evaluated by comparing discrimination and reclassification metrics between the full phenotype and a conventional three-level model that excluded NT-proBNP. Results: Weighted prevalences were 16.9%, 70.0%, 10.7%, and 2.4% for no apparent risk, Stage A, Stage B, and Stage C, respectively. In fully adjusted models, the hazard ratios (HRs) relative to no apparent risk were 1.58 (95% CI, 1.08-2.30), 2.88 (95% CI, 2.00-4.16), and 2.56 (95% CI, 1.61-4.09), respectively. Stage B was associated with significantly higher mortality risk than Stage A (HR, 1.83; 95% CI, 1.62-2.07), whereas the difference between Stage C and Stage B was not statistically significant (HR, 0.89; 95% CI, 0.71-1.11). The association for Stage B attenuated less across sequentially adjusted models than that for Stage C. Adjusted 10-year mortality risks were 15.2% for Stage B and 14.2% for Stage C. Incorporating Stage B into the conventional model yielded only marginal improvements in discrimination ({Delta}C-statistic, 0.002; 95% CI, 0.001-0.002). Conclusion: A biomarker-informed phenotype of the HF continuum can be operationalized using national survey data and identifies a pre-HF subgroup with an adjusted mortality risk not significantly different from that of individuals with overt HF, despite only marginal gains in prognostic discrimination.
Related
- Cluster-Based Phenotyping in an HFpEF Population Identifies a Biomarker-High, Atrial-Dysfunction Phenotype with Impaired Quality of Life, Reduced Exercise Capacity and Higher Healthcare Utilization
- Prospective, Population-Based Evaluation of Costs and Outcomes of Status Epilepticus According to the New Definition.
- Five-Biomarker Definition for Hypervirulent Klebsiella pneumoniae Bloodstream Infection and Abscess Complications, Japan, 2022–2024
- Multiomic liquid biopsy: emerging applications in disease quantification, biomarker detection, molecular phenotyping, and cancer signal of origin prediction
- Prospective evaluation assessing the influence of outcome definition, cohort inclusion and DORIS remission in predicting adverse pregnancy outcomes in women with systemic lupus erythematosus.
BibTeX
@misc{chen2026biomarkerinformed,
title = {{Biomarker-Informed Phenotyping of the Heart Failure Continuum: A Population-Based Evaluation of the Second Universal Definition of Heart Failure}},
author = {H. Chen and J. Ye},
howpublished = {medRxiv},
year = {2026},
month = nov,
doi = {10.64898/2026.11.04.26367312},
url = {https://www.medrxiv.org/content/10.64898/2026.11.04.26367312v1},
note = {CC BY},
}
RIS
TY - UNPB
TI - Biomarker-Informed Phenotyping of the Heart Failure Continuum: A Population-Based Evaluation of the Second Universal Definition of Heart Failure
AU - H. Chen
AU - J. Ye
PY - 2026
DA - 2026/11/04
PB - medRxiv
DO - 10.64898/2026.11.04.26367312
UR - https://www.medrxiv.org/content/10.64898/2026.11.04.26367312v1
AB - Objective: To develop and evaluate a biomarker-informed, computable phenotype of the heart failure (HF) continuum, aligned with 2026 AHA/ACC/ESC/WHF Expert Consensus, using NHANES and linked mortality data, and to determine whether this phenotype identifies subgroups with distinct mortality risks. Methods: We analyzed 11,477 U.S. adults aged [≥]20 years from the 1999-2004 NHANES cycles who participated in the surplus-sera biomarker substudy and were linked to National Death Index follow-up. Participants were classified into four phenotypes according to the 2026 Universal Definition of Heart Failure: no apparent risk, Stage A (at risk), Stage B (elevated NT-proBNP without self-reported HF), and Stage C (self-reported HF). Survey-weighted Kaplan-Meier curves and nested, multiply imputed Cox proportional hazards models, with sequential adjustment for demographic, socioeconomic, and cardiometabolic covariates, were used to estimate associations with mortality. Pairwise phenotype comparisons, standardized adjusted survival estimates, and restricted mean survival times were also calculated. Incremental prognostic value was evaluated by comparing discrimination and reclassification metrics between the full phenotype and a conventional three-level model that excluded NT-proBNP. Results: Weighted prevalences were 16.9%, 70.0%, 10.7%, and 2.4% for no apparent risk, Stage A, Stage B, and Stage C, respectively. In fully adjusted models, the hazard ratios (HRs) relative to no apparent risk were 1.58 (95% CI, 1.08-2.30), 2.88 (95% CI, 2.00-4.16), and 2.56 (95% CI, 1.61-4.09), respectively. Stage B was associated with significantly higher mortality risk than Stage A (HR, 1.83; 95% CI, 1.62-2.07), whereas the difference between Stage C and Stage B was not statistically significant (HR, 0.89; 95% CI, 0.71-1.11). The association for Stage B attenuated less across sequentially adjusted models than that for Stage C. Adjusted 10-year mortality risks were 15.2% for Stage B and 14.2% for Stage C. Incorporating Stage B into the conventional model yielded only marginal improvements in discrimination ({Delta}C-statistic, 0.002; 95% CI, 0.001-0.002). Conclusion: A biomarker-informed phenotype of the HF continuum can be operationalized using national survey data and identifies a pre-HF subgroup with an adjusted mortality risk not significantly different from that of individuals with overt HF, despite only marginal gains in prognostic discrimination.
ER -