Key result
Machine-learning HF subtypes predict palliative care timing, though only ~30% of patients receive it.
Why the study?
Palliative care provision in heart failure remains suboptimal, and patterns of palliative care engagement across diverse heart failure subgroups are not well-defined.
Do palliative care trajectories and receipt differ across machine-learning informed subtypes of heart failure?
Do palliative care trajectories and receipt differ across machine-learning informed subtypes of heart failure?
Despite high end-of-life needs, palliative care in heart failure is underutilized (30%) and its timing varies significantly by patient subtype, with late-onset HF patients receiving it latest.
Answers are grounded in this paper and cite their sources.
Palliative care remains underused across HF subtypes with variable timing; leaves open whether subtype classification can guide targeted end-of-life strategies.
Introduction Heart failure (HF) significantly contributes to global morbidity and mortality, yet the provision of palliative care (PC) remains suboptimal in this population. Despite its anticipated benefits in symptom management and quality of life, the patterns of PC engagement across diverse HF subgroups are not well-defined. This study aims to identify HF subtypes and evaluate their PC trajectories to inform targeted strategies for improving PC access and delivery. Methods Using linked electronic health records from the Clinical Practice Research Datalink (CPRD) in England, we identified individuals aged ≥18 years with incident HF who died during follow-up. A previously developed machine learning-informed analytical framework was applied to define distinct HF subgroups based on demographic characteristics, biomarkers, hospitalizations, and comorbidities. Kaplan-Meier (KM) estimates were used to assess survival and PC trajectories across these subgroups. Results Among 51,332 individuals with incident HF, 15,376 (30%) received PC. Five distinct HF subgroups were identified: Cancer-Associated (9.3%), Cardiometabolic (12.7%), Metabolic (42.9%), AF-Associated (5.9%), and Late-Onset (29.2%). The median time to PC initiation (in those receiving it) following the diagnosis of HF was 4.3 years (IQR: 1.8–8.5). The Cancer-Associated subtype received PC earliest (median 2.6 years post-HF), while the Late-Onset subtype had the latest initiation (2.9 years) and the shortest median PC duration before death (0.35 years). Approximately 30% of patients had limited PC access. KM analysis demonstrated significant differences in PC receipt across these subtypes (p < 0.0001). Interpretation: Despite the high symptom burden and end-of-life needs in HF, receipt of PC remains limited, particularly among ‘late-onset’ HF patients. These findings underscore the inequity of PC provision even for high-risk groups in whom the early integration of wholistic care might benefit quality of life.
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Ali et al. (2025) studied this question. Among 51,332 HF patients, only 30% received palliative care, with Cancer-Associated subtype initiating PC earliest (2.6 years) and Late-Onset subtype having shortest PC duration (0.35 years).
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