BackgroundChronic heart failure is a very common condition in the elderly, characterized not only by high mortality rates, but also by a strong impact on health-related quality of life (HRQOL). Previous studies of HRQOL in elderly heart failure subjects have included mostly outpatients, and little is known about determinants of HRQOL in hospitalized elderly population, especially in Serbia. In this study, we tried to identify factors that influence HRQOL in elderly patients hospitalized with chronic heart failure in Serbia.MethodsThe study population consisted of 136 patients aged 65 years or older hospitalized for chronic heart failure. HRQOL was assessed using the Minnesota Living with Heart Failure questionnaire. Predictors of HRQOL were identified by multiple linear regression analysis.ResultsUnivariate analysis showed that patients with lower income, a longer history of chronic heart failure, and longer length of hospital stay, as well as those receiving aldosterone antagonists and digoxin, taking multiple medications, in a higher NYHA class, and showing signs of depression and cognitive impairment had significantly worse HRQOL. Presence of depressive symptoms (P<0.001), higher NYHA class (P=0.021), lower income (P=0.029), and longer duration of heart failure (P=0.049) were independent predictors of poor HRQOL.ConclusionDepressive symptoms, higher NYHA class, lower income, and longer duration of chronic heart failure are independent predictors of poor HRQOL in elderly patients hospitalized with chronic heart failure in Serbia. Further, there is an association between multiple medication usage and poor HRQOL, as well as a negative impact of cognitive impairment on HRQOL. Hence, measures should be implemented to identify such patients, especially those with depressive symptoms, and appropriate interventions undertaken in order to improve their HRQOL.
CBF was reduced in elderly males with mild-to-moderate CHF, and was associated with factors that represent the severity of CHF including high serum adiponectin and NT-pro-BNP levels, decreased LVEF, impaired physical performance, and deteriorated quality of life.
The caregivers were aware of the limitations in everyday oral care of nursing homes residents in Serbia, although solving these problems requires the involvement of the entire public health service.
Ageism is stereotyping and prejudice against individuals or groups because of their age. Robert Butler first used it in 1969, to express a systematic stereotyping and discrimination against elderly people. Available data appears to confirm that attitudes of children to the old age differ from that of adults. The study population consisted of 162 subjects (56 school children, 48 nurses and 58 elderly patients). Each subject in the survey was asked to respond to the following three questions: Question #1: “Is the old age unattractive ?”; Question #2: “How old is an old man? Question #3: “What should you do to have a long life (what is good for longevity)? The majority of polled children (33) gave positive statements about ageing in their responses to the first item, while most of the nurses gave condition answers, like: “It is not unattractive if you are healthy”. Elderly subjects made up a group with the majority of negative responses (in percentage), as only 33% of them answered that old age is not unattractive. All three groups of subjects demonstrated a good knowledge of what is considered good for longevity, and had a generally positive health attitude. Our results indicate that majority of children have positive perception and attitude about old age, which leads us to conclusion that ageism is adopted later in life.
Purpose: Previous research has shown that poor health-related quality of life (HRQOL) is associated with adverse long-term prognosis in patients with heart failure (HF); however, there have been inconsistencies among studies and not all of them confirmed the prognostic value of HRQOL. In addition, few studies involved elderly patients and most focused on all-cause mortality and HF-related hospitalization as outcomes. The aim of our study was to determine whether HRQOL is a predictor and an independent predictor of long-term cardiac mortality, all-cause mortality, and HF-related rehospitalization in elderly patients hospitalized with HF. Patients and methods: This prospective observational study included 200 elderly patients hospitalized with HF in Serbia. HRQOL was measured using the Minnesota Living with Heart Failure questionnaire (MLHFQ). The median follow-up period was 28 months. The primary outcome was cardiac mortality, and all-cause mortality and HF-related rehospitalization were secondary outcomes. Survival analysis was conducted using the Kaplan–Meier method and Cox-proportional hazards regression. Results: Subjects with poor HRQOL (higher than the median MLHFQ score) had a higher probability of cardiac mortality ( P =0.029) and HF-related rehospitalization ( P =0.001) during long-term follow-up. Poor HRQOL was an independent predictor of cardiac mortality (HR: 2.051, 95% CI: 1.260–3.339, P =0.004), all-cause mortality (HR: 1.620, 95% CI: 1.076–2.438, P =0.021), and HF-related rehospitalization (HR: 2.040, 95% CI: 1.290–3.227, P =0.002). Conclusion: HRQOL is an independent predictor of long-term cardiac mortality in elderly patients hospitalized with HF. It also independently predicts all-cause mortality and HF-related rehospitalization. HRQOL could be used as a complementary clinical predictive tool in this patient population.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.
customersupport@researchsolutions.com
10624 S. Eastern Ave., Ste. A-614
Henderson, NV 89052, USA
This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.
Copyright © 2024 scite LLC. All rights reserved.
Made with 💙 for researchers
Part of the Research Solutions Family.