Introduction And Objectives: Heart failure patients have high levels of frailty and dependence. Our aim was to determine the impact of frailty and depressive symptoms on the 1-year mortality rate and the rate of hospitalization for heart failure during a follow-up period of 1 year.
Methods: All patients underwent geriatric evaluation, and frailty and depressive symptoms were identified. The study included 622 patients (72.5% male; median age, 68 years; 92% in New York Heart Association class II or III; and median ejection fraction, 30%).
Results: During follow-up, 60 patients (9.5%) died and 101 (16.2%) were hospitalized for heart failure. Overall, 39.9% of patients exhibited frailty, while 25.2% had depressive symptoms. There were significant associations between mortality at 1 year and the presence of frailty (16.9% vs. 4.8%; P< .001) and depressive symptoms (15.3% vs. 7.7%; P=.006). There was also a significant relationship between heart failure hospitalization and the presence of frailty (20.5% vs. 13.3%; P=.01). No relationship was found between heart failure hospitalization and depressive symptoms. Frailty was an independent predictor of mortality but not of hospitalization.
Conclusions: Univariate analysis demonstrated significant relationships between frailty and depressive symptoms and mortality at 1 year. In addition, there was a significant relationship between frailty and the need for heart failure hospitalization. However, only frailty showed prognostic value to predict mortality, which was independent of other variables strongly associated to outcome.
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Background: Coronary heart disease (CHD) and depression frequently co-occur, significantly impacting patient outcomes. However, comprehensive health status assessment tools for this complex population are lacking. This study aimed to develop and validate an explainable machine learning model to evaluate overall health status in patients with comorbid CHD and depression.
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January 2025
3Department of Psychology, Stony Brook University, Stony Brook, New York, USA.
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National Institute of Health, Cheongju, Republic of Korea.
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Trinity College Dublin, Dublin, Ireland.
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Division of Surgery & Interventional Science, Faculty of Medical Sciences, University College London, London, United Kingdom.
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