2021
DOI: 10.1253/circj.cj-21-0584
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Barthel Index Score Predicts Mortality in Elderly Heart Failure ― A Goal of Comprehensive Cardiac Rehabilitation ―

Abstract: Heart failure (HF) is a major public health problem, with a prevalence of over 23 million worldwide, and is a leading cause of morbidity, mortality, and rehospitalization. 1,2 The prevalence of HF increases with aging: more than 80% of patients diagnosed with HF are >65 years of age. 3-5 In addition to establishing preven-

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Cited by 34 publications
(28 citation statements)
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“…Other items were more essential for discharged patients without caregivers, including grooming, dressing, mobility, and stairs climbing. The Barthel index has been used as an important indicator of hospital outcome [ 25 ] and could be used as a predictor of mortality [ 26 ]. On the other hand, there have been studies on patients with COVID-19 that aimed to identify predictive factors of functional prognosis [ 18 , 27 , 28 ].…”
Section: Discussionmentioning
confidence: 99%
“…Other items were more essential for discharged patients without caregivers, including grooming, dressing, mobility, and stairs climbing. The Barthel index has been used as an important indicator of hospital outcome [ 25 ] and could be used as a predictor of mortality [ 26 ]. On the other hand, there have been studies on patients with COVID-19 that aimed to identify predictive factors of functional prognosis [ 18 , 27 , 28 ].…”
Section: Discussionmentioning
confidence: 99%
“…We have previously demonstrated that hospitalization for HF was signi cantly correlated with decreased BI as an assessment of ADL, and a decreased BI during hospitalization was associated with worse clinical outcomes 8 . It has also been reported that a decline in ADL due to acute HF is an independent risk factor of hospitalization for HF and mortality [34,35]. Therefore, it is important to identify predictors of ADL decline during hospitalization in patients with HF.…”
Section: Discussionmentioning
confidence: 99%
“…We calculated t- tests with the variables. The cut-off for the calculation of the t- tests of the subgroups was set at 85 (Katano et al, 2021). Regarding the frequencies of the themes as the dependent variable, we calculated a ratio of PTGs within each goal type/goal category to the total number of PTGs to control for possible differences in the number of PTGs in the subgroups.…”
Section: Methodsmentioning
confidence: 99%