A cluster analysis of psychological and physical symptoms in patients with heart failure
Notice bibliographique
Résumé
Abstract Funding Acknowledgements Type of funding sources: Public Institution(s). Main funding source(s): CECRI (Center of Excellence for Nursing Scholarship) Rome Background The experience of psychological and physical symptoms of heart failure can be burdensome for patients. Identification of profiles of symptom burden may lead to greater understanding of the mechanism underlying this experience and improve symptom-centered care. Purpose The aim of this analysis was to identify profiles of psychological and physical symptoms in heart failure patients and compare the sociodemographic and clinical characteristics of patients in each cluster. Methods This was a secondary analysis of baseline data from the MOTIVATE-HF trial, that enrolled 510 patients across Italy. Cluster analysis was used to identify profiles of patients based on the two scores of the Hospital Anxiety and Depression scale and the total score of the Heart Failure Somatic Perception Scale. Each profile was described in terms of sociodemographic characteristics (e.g., age, gender, severity of disease), self-care maintenance and management behaviors, and self-efficacy (Self-care of Heart Failure Index), generic quality of life (12-item Short Form Survey), health-related quality of life (Kansas City Cardiomyopathy Questionnaire), and cognitive status (Montreal Cognitive Assessment Scale). Comparisons between the characteristics of each profile were performed by analysis of variance (ANOVA) and chi square test. Results Patients (n = 510) were 72.37 years old on average (SD = 12.28), with a slightly higher prevalence of men (58%). Sixty per cent of the sample were symptomatic: New York Heart Association (NYHA) class 2, 31.4% in NYHA class III, and 6.5% in NYHA class IV. Three profiles were identified: (1) low distress, characterized by the youngest patients (69.76, SD = 12.17), mostly in NYHA class II, and with the highest score on self-care self-efficacy and self-care maintenance behaviors; (2) average distress, characterized by the oldest patients (74.45, SD = 11.99), who were mostly retired, with the highest level of education, and poorest (physical) health-related quality of life and low self-care behaviors; (3) high distress, characterized by an average age of 73.08 (SD = 12.29), with the lowest hemoglobin level, the worst cognitive status, and the worst generic and health-related quality of life. Conclusions The profiles identified in this study and their characteristics provide new insights into the burden of psychological and physical symptoms experienced by heart failure patients. This represents the first step in promoting symptom-centered care in the future.
Récupéré en direct depuis OpenAlex et désinversé. Les résumés ne sont pas conservés dans cette base de données : les index inversés représentent 8,6 Go des 9,3 Go de texte de la base, et le serveur dispose de 13 Go libres.
Comment cette classification a été obtenuedéplier
Prédiction distillée sur la base complète
Imitation des enseignantsNi prévalence calibrée, ni vérité terrain. Validation humaine à venir. Apprise à partir de 10 348 étiquettes directes de Codex et de 10 348 étiquettes directes de Gemma. Le mode candidate est l'union des têtes enseignantes seuillées; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont ni des étiquettes humaines ni des étiquettes directes de modèles de pointe.
Scores Codex et Gemma par catégorie
| Catégorie | Codex | Gemma |
|---|---|---|
| Métarecherche | 0,001 | 0,000 |
| Méta-épidémiologie (sens strict) | 0,000 | 0,000 |
| Méta-épidémiologie (sens large) | 0,001 | 0,001 |
| Bibliométrie | 0,000 | 0,001 |
| Études des sciences et des technologies | 0,000 | 0,000 |
| Communication savante | 0,000 | 0,000 |
| Science ouverte | 0,000 | 0,000 |
| Intégrité de la recherche | 0,000 | 0,000 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,000 | 0,000 |
Scores machine (provisoires)
Les deux têtes enseignantes du modèle étudiant, lues sur ce travail. Un score ordonne la base pour la relecture; il n'affirme jamais une catégorie, et le statut de validation accompagne chaque rangée tel quel.
Scores de référence d'un modèle non mature (critères de maturité non atteints, 7 itérations). Un score ordonne; il n'affirme jamais une catégorie.
score_only:v0-immature-baseline · tel quel depuis la passe de notation : score_only signifie que le nombre peut ordonner les travaux, et qu'aucune étiquette de catégorie n'en découleClassification
machine, non validéePrédiction automatique; un appel candidat d’une seule tête enseignante, pas un consensus.
Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».