
Overestimating Survival in High-Risk Heart Failure Linked to Higher 2-Year Mortality
Key Takeaways
- One in three patients demonstrated discordant optimism, defined as estimating life expectancy >50% longer than model-estimated survival.
- Adjusted analyses associated overestimation with nearly doubled 2-year mortality (aHR 1.98; 95% CI, 1.04-3.77).
A new study finds one-third of ambulatory patients with heart failure with reduced ejection fraction overestimate their life expectancy.
In a cohort of high-risk ambulatory patients with
This prospective cohort study is published in
“In this cohort study, discordant optimism regarding life expectancy compared with model estimates was common and associated with mortality that was not due to a lower probability of receiving a heart transplant or VAD [ventricular assist devices],” wrote the researchers of the study. “The findings suggest clinicians should objectively evaluate HF risk when considering advanced therapies, rather than relying primarily on patient-reported symptoms.”
This study analyzed data from the REVIVAL (
The researchers compared how long patients thought they would live with predictions from a validated risk model, creating an estimation index to see who over- or underestimated their survival.1 They looked at patient characteristics linked to overestimation and examined whether overestimating life expectancy was associated with higher risk of death over the next 2 years.
The study included 296 high-risk, ambulatory patients with chronic HF, of whom 223 (75.3%) were male, with a mean (SD) age of 60.1 (11.5) years. The median (IQR) survival predicted by the Seattle Heart Failure Model was 8.2 (5.1, 12.1) years, while patients’ median estimated life expectancy was 7.0 (5.0, 10.0) years.
Overall, 98 patients (33.1%) were overly optimistic about their survival. Overestimation was linked to higher mortality: in adjusted analyses, patients with discordant optimism had nearly double the risk of dying within 2 years (adjusted hazard ratio 1.98; 95% CI, 1.04-3.77) compared with those with realistic or pessimistic estimates. The increased risk was not explained by differences in receiving a ventricular assist device or heart transplant.
However, the researchers noted some limitations. First, it relied on the Seattle Heart Failure Model to estimate survival, which can itself overestimate life expectancy, meaning patients’ optimism may have been even greater than reported. Participants were also enrolled at specialized heart failure centers and willing to share their estimates, which may not reflect all patients. Finally, the statistical approach could overestimate the effect of some factors, potentially affecting the observed associations.
Despite these limitations, the researchers believe the findings of this study highlight the importance of clear, objective discussions about prognosis, which can help patients make informed decisions about their care and guide clinicians in considering advanced therapies.
“Overoptimistic patient estimates of life expectancy compared with model estimates were associated with an increased risk of mortality over 2 years of follow-up compared with patients with more pessimistic life expectancy estimates,” wrote the researchers. “These findings suggest that clinicians should holistically and objectively evaluate HF risk when considering advanced therapies, rather than relying solely on patient-reported symptoms.”
References
1. Cascino TM, Herron G, Richards B, et al. Understanding of prognosis and estimation of mortality in ambulatory patients with heart failure. JAMA Netw Open. 2026;9(3):e260328. doi:10.1001/jamanetworkopen. 2026.0328
2. Aaronson KD, Stewart GC, Pagani FD, et al. Registry Evaluation of Vital Information for VADs in Ambulatory Life (REVIVAL): rationale, design, baseline characteristics, and inclusion criteria performance. J Heart Lung Transplant. 2020;39(1):7-15. doi:10.1016/j.healun.2019.09.008




