Abstract | BACKGROUND: HYPOTHESIS: Better ADL is associated with better 1-year prognosis. METHODS: This retrospective study included 91 consecutive very elderly patients with ACS. We calculated the Barthel Index (BI) as an indicator for ADL. Patients were classified into 2 groups according to BI: high BI (≥85) and low BI (<85). The BI was assessed both on admission (pre-BI) and at discharge (post-BI). RESULTS: In the 91 patients (mean age, 88.2 ± 3.0 years, 52% male), 1-year mortality was 33%. The Cox regression model demonstrated that low pre-BI was not a risk factor for 1-year mortality (hazard ratio: 0.73, 95% confidence interval [CI]: 0.30-1.78, P = 0.490). However, post-BI was significantly associated with 1-year mortality (hazard ratio: 0.25, 95% CI: 0.11-0.57, P = 0.001). The 1-year mortality of the high and the low post-BI group was estimated as 21% (95% CI: 12%-35%) and 62% (95% CI: 42%-82%), respectively. A 5-unit decrease in post-BI was related to a 1.10-fold increased risk for 1-year mortality (95% CI: 1.05-1.15, P < 0.001). CONCLUSIONS:
Activities of daily living at discharge, although not before admission, may be a useful predictor for 1-year mortality in very elderly patients undergoing PCI for ACS.
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Authors | Satoshi Higuchi, Yusuke Kabeya, Kenichi Matsushita, Hiroki Taguchi, Haruhisa Ishiguro, Hideyasu Kohshoh, Hideaki Yoshino |
Journal | Clinical cardiology
(Clin Cardiol)
Vol. 39
Issue 2
Pg. 83-9
(Feb 2016)
ISSN: 1932-8737 [Electronic] United States |
PMID | 26720494
(Publication Type: Comparative Study, Journal Article)
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Copyright | © 2015 Wiley Periodicals, Inc. |
Topics |
- Activities of Daily Living
- Acute Coronary Syndrome
(diagnosis, mortality, psychology, therapy)
- Age Factors
- Aged, 80 and over
- Chi-Square Distribution
- Decision Support Techniques
- Female
- Geriatric Assessment
(methods)
- Hospital Mortality
- Humans
- Kaplan-Meier Estimate
- Male
- Percutaneous Coronary Intervention
(adverse effects, mortality)
- Predictive Value of Tests
- Proportional Hazards Models
- Retrospective Studies
- Risk Assessment
- Risk Factors
- Time Factors
- Treatment Outcome
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