Using Latent Class Analysis to Identify Different Clinical Profiles Among Patients With Advanced Heart Failure. 2023

Moritz Blum, and Karen McKendrick, and Laura P Gelfman, and Sean P Pinney, and Nathan E Goldstein
Brookdale Department of Geriatrics and Palliative Medicine, Icahn School of Medicine at Mount Sinai, New York, New York, USA.

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. We sought to identify latent subgroups with variations regarding symptom burden, functional status, and multimorbidity in an advanced HF population. 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. 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). 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. J Pain Symptom Manage 2022;000:1-9.

UI MeSH Term Description Entries
D010166 Palliative Care Care alleviating symptoms without curing the underlying disease. (Stedman, 25th ed) Palliative Treatment,Palliative Supportive Care,Palliative Surgery,Palliative Therapy,Surgery, Palliative,Therapy, Palliative,Care, Palliative,Palliative Treatments,Supportive Care, Palliative,Treatment, Palliative,Treatments, Palliative
D011788 Quality of Life A generic concept reflecting concern with the modification and enhancement of life attributes, e.g., physical, political, moral, social environment as well as health and disease. HRQOL,Health-Related Quality Of Life,Life Quality,Health Related Quality Of Life
D006333 Heart Failure A heterogeneous condition in which the heart is unable to pump out sufficient blood to meet the metabolic need of the body. Heart failure can be caused by structural defects, functional abnormalities (VENTRICULAR DYSFUNCTION), or a sudden overload beyond its capacity. Chronic heart failure is more common than acute heart failure which results from sudden insult to cardiac function, such as MYOCARDIAL INFARCTION. Cardiac Failure,Heart Decompensation,Congestive Heart Failure,Heart Failure, Congestive,Heart Failure, Left-Sided,Heart Failure, Right-Sided,Left-Sided Heart Failure,Myocardial Failure,Right-Sided Heart Failure,Decompensation, Heart,Heart Failure, Left Sided,Heart Failure, Right Sided,Left Sided Heart Failure,Right Sided Heart Failure
D006801 Humans Members of the species Homo sapiens. Homo sapiens,Man (Taxonomy),Human,Man, Modern,Modern Man
D000077272 Latent Class Analysis A statistical algorithm used to analyze clusters of observed variables by constructing categorical unobserved or latent segment based on weighted analysis and the average probabilities. Such latent classes are used to infer variables whose relationships are not directly observed. In biomedical research, it is often used to categorize data that allows the determination of symptom clusters. Latent Class Model,Latent Variable Modeling,Probabilistic Latent Semantic Analysis,Structural Equation Modeling,Latent Class Analyses,Latent Class Models,Latent Variable Modelings,Model, Latent Class,Modeling, Latent Variable,Modeling, Structural Equation,Structural Equation Modelings,Variable Modeling, Latent
D000203 Activities of Daily Living The performance of the basic activities of self care, such as dressing, ambulation, or eating. ADL,Chronic Limitation of Activity,Limitation of Activity, Chronic,Activities, Daily Living,Activity, Daily Living,Daily Living Activities,Daily Living Activity,Living Activities, Daily,Living Activity, Daily

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