Using latent class analysis to identify different clinical profiles among patients with advanced heart failure

Article indépendant

BLUM, Moritz | MCKENDRICK, Karen | GELFMAN, Laura P. | PINNEY, Sean P. | GOLDSTEIN, Nathan E.

CONTEXT: Although palliative care is guideline-indicated for patients with advanced heart failure (HF), the scarcity of a specialty-trained palliative care workforce demands better identification of patients who are most burdened by the disease. OBJECTIVES: We sought to identify latent subgroups with variations regarding symptom burden, functional status, and multimorbidity in an advanced HF population. METHODS: We performed a latent class analysis (LCA) of baseline data from a trial enrolling advanced HF patients. As LCA input variables, we chose indicators of HF severity, physical and psychological symptom burden, functional status, and the number of comorbidities. RESULTS: Among 563 patients, two subgroups emerged from LCA, Class A (352 [62.5%]) and Class B (211 [37.5%]). Patients in Class A were less often classified as NYHA class III or IV (88.0% vs. 97.5%, P < 0.001), as compared to Class B patients. Class A patients had fewer symptoms, fewer comorbidities, only 25.9% had impairments in activities of daily living (ADL), and virtually none suffered from clinically significant anxiety (0.4%) or depression (0.9%). In Class B, every patient reported more than three symptoms, almost all patients (92.6%) had some impairment in ADL, and nearly a third had anxiety (30.2%) or depression (28.3%). All-cause mortality after 12 months was higher in Class B, as compared to Class A (18.5% vs. 12.5%, P = 0.047). CONCLUSION: Among advanced HF patients, we identified a distinct subgroup characterized by a conjunction of high symptom burden, anxiety, depression, multimorbidity, and functional status impairment, which might profit particularly from palliative care interventions.

http://dx.doi.org/10.1016/j.jpainsymman.2022.10.011

Voir la revue «JOURNAL OF PAIN AND SYMPTOM MANAGEMENT, 65»

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