All-cause mortality predicted by peak oxygen uptake differs depending on spirometry pattern in patients with heart failure and reduced ejection fraction

Risk Stratification in Transthyretin Cardiac Amyloidosis: The Added Value of Lung Spirometry

Transthyretin cardiac amyloidosis (ATTR-CA) is an increasingly recognized disease that often results in heart failure and death. Traditionally, biological staging systems are used to stratify disease severity. Reduced aerobic capacity has recently been described as useful in identifying higher risk of cardiovascular events and death. Assessment of lung volume via simple spirometry might also hold prognostic relevance. We aimed to assess the combined prognostic value of spirometry, cardiopulmonary exercise testing (CPET) and biomarker staging in ATTR-CA patients in a multi-parametric approach. We retrospectively reviewed patient records with pulmonary function and CPET testing. Patients were followed until study endpoint (MACE: composite of heart-failure-related hospitalization and all-cause death) or censure (1 April 2022). In total, 82 patients were enrolled. Median follow-up was 9 months with 31 (38%) MACE. Impaired peak VO₂ and forced vital capacity (FVC) were independent predictors of MACE-free survival, with peak VO₂ < 50% and FVC < 70% defining the highest risk group (HR 26, 95% CI: 5-142, mean survival: 15 months) compared to patients with the lowest risk (peak VO₂ ≥ 50% and FVC ≥ 70%). Combined peak VO₂, FVC and ATTR biomarker staging significantly improved MACE prediction by 35% compared to ATTR staging alone, with 67% patients reassigned a higher risk category (p < 0.01). In conclusion, combining functional and biological markers might synergistically improve risk stratification in ATTR-CA. Integrating simple, non-invasive and easily applicable CPET and spirometry in the routine management of ATTR-CA patients might prove useful for improved risk prediction, optimized monitoring and timely introduction of newer-generation therapies.

Patient selection for heart transplant: balancing risk

PURPOSE OF REVIEW

Heart failure incidence continues to rise despite a relatively static number of available donor hearts. Selecting an appropriate heart transplant candidate requires evaluation of numerous factors to balance patient benefit while maximizing the utility of scarce donor hearts. Recent research has provided new insights into refining recipient risk assessment, providing additional tools to further define and balance risk when considering heart transplantation.

RECENT FINDINGS

Recent publications have developed models to assist in risk stratifying potential heart transplant recipients based on cardiac and noncardiac factors. These studies provide additional tools to assist clinicians in balancing individual risk and benefit of heart transplantation in the context of a limited donor organ supply.

SUMMARY

The primary goal of heart transplantation is to improve survival and maximize quality of life. To meet this goal, a careful assessment of patient-specific risks is essential. The optimal approach to patient selection relies on integrating recent prognostication models with a multifactorial assessment of established clinical characteristics, comorbidities and psychosocial factors.

All-cause mortality predicted by peak oxygen uptake differs depending on spirometry pattern in patients with heart failure and reduced ejection fraction

Aims

In patients with heart failure and reduced ejection fraction (HFrEF), it remains unclear how exacerbated impairments in peak exercise oxygen uptake (V̇O_2peak) caused by coexistent obstructive or restrictive ventilatory defects affect mortality risk. We evaluated in patients with HFrEF, whether demonstrating either an obstructive or restrictive‐patterned ventilatory defect on spirometry affects V̇O_2peak to yield all‐cause mortality risk predicted by V̇O_2peak that is spirometry pattern specific.

Methods and results

We retrospectively analysed resting spirometry and treadmill cardiopulmonary exercise testing data of patients with HFrEF (left ventricular ejection fraction ≤ 40%). The study sample (N = 329) was grouped by spirometry pattern: normal [Group 1: N = 101; forced expiratory volume in 1 s (FEV₁)/forced vital capacity (FVC) ≥ 0.70; FVC ≥ 80% predicted], restrictive without airflow obstruction (Group 2: N = 104; FEV₁/FVC ≥ 0.70; FVC < 80% predicted), or obstructive (Group 3: N = 124; FEV₁/FVC < 0.70). Patients were followed up to 1 year for the endpoint of all‐cause mortality. V̇O_2peak was higher in Group 1 versus Groups 2 and 3 (13.4 ± 4.0 vs. 12.1 ± 3.7 and 12.2 ± 3.3 mL/kg/min, respectively; P = 0.014). Over the 1 year follow‐up, n = 9, n = 16, and n = 12 deaths occurred in Groups 1–3, respectively, with corresponding crude survival rates of 88%, 81%, and 92%, respectively (log‐rank; P = 0.352). V̇O_2peak was associated with all‐cause mortality (crude hazard ratio = 0.77; P < 0.001). In multivariate analyses, a significant V̇O_2peak‐by‐spirometry group interaction yielded 1.99 (95% confidence interval, 1.14–3.46) and 2.43 (95% confidence interval, 1.44–4.11) higher mortality risk associated with V̇O_2peak in Group 2 versus Groups 1 and 3, respectively.

Conclusions

Demonstrating a restrictive pattern on spirometry yields the severest mortality risk associated with V̇O_2peak. Using spirometry to screen patients with HFrEF for ventilatory defects has a potential role in improving risk stratification based on V̇O_2peak.