Shuo-Chun Weng1,2,3, Chu-Sheng Lin2,4, Der-Cherng Tarng1,5,6,7,8, Shih-Yi Lin9,10,11. 1. Institute of Clinical Medicine, School of Medicine, National Yang Ming Chiao Tung University, Taipei, Taiwan. 2. Center for Geriatrics and Gerontology, Taichung Veterans General Hospital, Taichung, Taiwan. 3. Division of Nephrology, Department of Internal Medicine, Taichung Veterans General Hospital, Taichung, Taiwan. 4. Department of Family Medicine, Taichung Veterans General Hospital, Taichung, Taiwan. 5. Department and Institute of Physiology, National Yang Ming Chiao Tung University, Taipei, Taiwan. 6. Division of Nephrology, Department of Medicine, Taipei Veterans General Hospital, Taipei, Taiwan. 7. Center for intelligent Drug Systems and Smart Bio-devices (IDS2B), Hsinchu, Taiwan. 8. Department of Biological Science and Technology, College of Biological Science and Technology, National Yang Ming Chiao Tung University, Hsinchu, Taiwan. 9. Institute of Clinical Medicine, School of Medicine, National Yang Ming Chiao Tung University, Taipei, Taiwan. sylin@vghtc.gov.tw. 10. Center for Geriatrics and Gerontology, Taichung Veterans General Hospital, Taichung, Taiwan. sylin@vghtc.gov.tw. 11. Center for Geriatrics and Gerontology, Division of Endocrinology and Metabolism, Department of Internal Medicine, Taichung Veterans General Hospital, No.1650 Boulevard Sect. 4, Taichung, Taiwan. sylin@vghtc.gov.tw.
Abstract
BACKGROUND: Frailty, a syndrome characterized by a decline in function reserve, is common in older patients with heart failure (HF) and is associated with prognosis. This study aimed to evaluate the impact of frailty on outcomes in older patients with preserved and reduced cardiac function. METHODS: In total, 811 adults aged ≥65 years were consecutively enrolled from 2009 to 2018. HF was diagnosed according to the ICD9 code and a 2D echocardiogram was categorized by reduced ejection fraction (HFrEF) and preserved ejection fraction (HFpEF). The index date was registered at the time of HF. All patients received a comprehensive geriatric assessment, and clinical outcomes were examined with adjustment of the other prognostic variables. RESULTS: Mean age was 80.5 ± 7.1 years. The prevalence of HF, HFpEF, HFrEF, Fried, and Rockwood frailty indicators was 28.5, 10.4, 9.7, 52.5, and 74.9%, respectively. At baseline, scores in the Timed Up and Go test was closely associated with the severity of HF, either with HFpEF or HFrEF. After a mean follow-up of 3.2 ± 2.0 years, we found that HF patients with low handgrip strength (HGS) had the poorest survival, followed by non-HF patients with decreased HGS, and HF with fair HGS in comparison with non-HF with fair HGS (p = 0.008) if participants were arbitrarily divided into two HGS groups. In all patients, a high Rockwood frailty index was independently associated with increased mortality (adjusted hazard ratio [aHR] = 1.05; 95% confidence interval [CI]: 1.0004 to 1.10). In addition, the adjusted mortality HR was 3.42 with decreased HGS (95% CI: 1.03 to 11.40), 7.65 with use of mineralocorticoid receptor antagonist (95% CI: 2.22 to 26.32), and 1.26 with associated multi-comorbidities assessed by Charlson comorbidity index (95% CI: 1.05 to 1.51). CONCLUSIONS: Our study results indicate that frailty and decreased physical functions were associated with HF. Besides, frailty and HGS predicted prognosis in the patients, and there was a combined effect of HF and low HGS on survival.
BACKGROUND: Frailty, a syndrome characterized by a decline in function reserve, is common in older patients with heart failure (HF) and is associated with prognosis. This study aimed to evaluate the impact of frailty on outcomes in older patients with preserved and reduced cardiac function. METHODS: In total, 811 adults aged ≥65 years were consecutively enrolled from 2009 to 2018. HF was diagnosed according to the ICD9 code and a 2D echocardiogram was categorized by reduced ejection fraction (HFrEF) and preserved ejection fraction (HFpEF). The index date was registered at the time of HF. All patients received a comprehensive geriatric assessment, and clinical outcomes were examined with adjustment of the other prognostic variables. RESULTS: Mean age was 80.5 ± 7.1 years. The prevalence of HF, HFpEF, HFrEF, Fried, and Rockwood frailty indicators was 28.5, 10.4, 9.7, 52.5, and 74.9%, respectively. At baseline, scores in the Timed Up and Go test was closely associated with the severity of HF, either with HFpEF or HFrEF. After a mean follow-up of 3.2 ± 2.0 years, we found that HF patients with low handgrip strength (HGS) had the poorest survival, followed by non-HF patients with decreased HGS, and HF with fair HGS in comparison with non-HF with fair HGS (p = 0.008) if participants were arbitrarily divided into two HGS groups. In all patients, a high Rockwood frailty index was independently associated with increased mortality (adjusted hazard ratio [aHR] = 1.05; 95% confidence interval [CI]: 1.0004 to 1.10). In addition, the adjusted mortality HR was 3.42 with decreased HGS (95% CI: 1.03 to 11.40), 7.65 with use of mineralocorticoid receptor antagonist (95% CI: 2.22 to 26.32), and 1.26 with associated multi-comorbidities assessed by Charlson comorbidity index (95% CI: 1.05 to 1.51). CONCLUSIONS: Our study results indicate that frailty and decreased physical functions were associated with HF. Besides, frailty and HGS predicted prognosis in the patients, and there was a combined effect of HF and low HGS on survival.
Entities:
Keywords:
All-cause mortality; Charlson comorbidity index; Function reserve; Handgrip strength; Heart failure; Timed up and go test
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