Background: Self-care is assumed to benefit health outcomes in patients with chronic heart failure (HF), but the evidence is conflicting for health-related quality of life (HRQOL). The aim of this study was to examine the association of (changes in) self-care with HRQOL while adjusting for psychological distress.
Methods: In total, 459 patients (mean age = 66.1 ± 10.5 years, 73% male) with chronic HF completed questionnaires at baseline and at 6, 12 and 18 months of follow-up. Self-care and HF-specific HRQOL were quantified with the European Heart Failure Self-care Behaviour scale and the Minnesota Living with Heart Failure Questionnaire.
Results: Using general linear models, multivariable between-subject (estimate = -0.14, p = 0.005) and no within-subject effects of self-care were found for better HRQOL over time. Associations between self-care and HRQOL were fully explained by depression (estimate = 1.77, p < 0.001). Anxiety (estimate = 4.49, p < 0.001) and Type D personality (estimate = 13.3, p < 0.001) were associated with poor HRQOL, but only partially accounted for the relationship between self-care and emotional HRQOL.
Conclusions: Self-care was prospectively associated with better disease-specific HRQOL in patients with HF, which was fully accounted for by depression, and partially accounted for by anxiety and Type D personality. Changes in self-care within a person did not affect HRQOL. Psychological distress should be considered in future efforts to address self-care and HRQOL.
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http://dx.doi.org/10.1177/1474515117702021 | DOI Listing |
J Echocardiogr
January 2025
Division of Cardiology, Department of Internal Medicine, Keimyung University Dongsan Medical Center, Keimyung University School of Medicine, 1035 Dalgubeol-Daero, Dalseo-Gu, Daegu, 42601, Republic of Korea.
Background: With the growing number of high-risk pregnant women, echocardiography frequently reveals pericardial effusion (PE). However, the clinical implications of PE are unknown.
Method: We analyzed a cohort of 406 high-risk pregnant women who underwent echocardiography in the third trimester between November 2019 and December 2022.
Sci Rep
January 2025
Cardiovascular Research Center, Rajaie Cardiovascular, Medical, and Research Center, University of Medical Sciences, Tehran, Iran.
Assessing myocardial viability is crucial for managing ischemic heart disease. While late gadolinium enhancement (LGE) cardiovascular magnetic resonance (CMR) is the gold standard for viability evaluation, it has limitations, including contraindications in patients with renal dysfunction and lengthy scan times. This study investigates the potential of non-contrast CMR techniques-feature tracking strain analysis and T1/T2 mapping-combined with machine learning (ML) models, as an alternative to LGE-CMR for myocardial viability assessment.
View Article and Find Full Text PDFTransl Psychiatry
January 2025
Genetic Epidemiology Group, Department of Psychiatry, Amsterdam UMC, University of Amsterdam, Amsterdam, the Netherlands.
Experiencing a traumatic event may lead to Posttraumatic Stress Disorder (PTSD), including symptoms such as flashbacks and hyperarousal. Individuals suffering from PTSD are at increased risk of cardiovascular disease (CVD), but it is unclear why. This study assesses shared genetic liability and potential causal pathways between PTSD and CVD.
View Article and Find Full Text PDFCardiovasc Diabetol
January 2025
Department of Cardiology, Rigshospitalet, Copenhagen University Hospital, Inge Lehmanns Vej 7, Copenhagen, 2100, Denmark.
Background: Glucagon-like peptide-1 receptor agonist (GLP-1RA) treatment reduces cardiovascular events in type 2 diabetes. Yet, the impact of GLP-1RA treatment before ST-segment elevation myocardial infarction (STEMI) on long-term prognosis in patients with type 2 diabetes remains unclear. In patients with STEMI and type 2 diabetes, we aimed to investigate the association between long-term prognosis and GLP-1RA treatment before STEMI.
View Article and Find Full Text PDFBMC Cardiovasc Disord
January 2025
Department of Radiology, Qujing No.1 Hospital, Kirin District Garden Road no. 1, Qujing, 655099, China.
Background: Left ventricular (LV) myocardial contraction patterns can be assessed using LV mechanical dispersion (LVMD), a parameter closely associated with electrical activation patterns. Despite its potential clinical significance, limited research has been conducted on LVMD following myocardial infarction (MI). This study aims to evaluate the predictive value of cardiac magnetic resonance (CMR)-derived LVMD for adverse clinical outcomes and to explore its correlation with myocardial scar heterogeneity.
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