The impact of frailty on prolonged hospitalisation and mortality in elderly inpatients in Vietnam: a comparison between the frailty phenotype and the Reported Edmonton Frail Scale
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Aims To investigate the impact of frailty on outcomes in older hospitalized patients, including prolonged length of stay and all-cause mortality 6 months after admission, using both the frailty phenotype and the Reported Edmonton Frail Scale (REFS). Patients and methods This study ...
See moreAims To investigate the impact of frailty on outcomes in older hospitalized patients, including prolonged length of stay and all-cause mortality 6 months after admission, using both the frailty phenotype and the Reported Edmonton Frail Scale (REFS). Patients and methods This study is the follow-up phase of a study designed to investigate the prevalence of frailty and its impact on adverse outcomes in older hospitalized patients at the National Geriatric Hospital in Hanoi, Vietnam. Results A total of 461 participants were included, with a mean age 76.2±8.9 years, and 56.8% were female. The prevalence of frailty was 31.9% according to the REFS and 35.4% according to Fried's criteria. The kappa coefficient was 0.57 (95% CI =0.49-0.66) between the two frailty criteria in identifying frail and non-frail participants. There was a trend toward increasing the likelihood of prolonged hospitalization in participants with frailty defined by Fried's criteria (adjusted OR =1.49, 95% CI =0.94-2.35) or by REFS (adjusted OR =1.43, 95% CI =0.89-2.29). During 6 months of follow-up, 210 were lost and 18/251 (7.2%) participants died. Mortality was higher in those with frailty defined by either Fried's criteria or REFS. On multivariable survival analysis, adjusted HRs for mortality were 2.65 (95% CI =1.02-6.89) for Fried's criteria and 4.19 (95% CI =1.59-10.99) for REFS. Conclusion Fried's frailty phenotype or REFS can be used as a screening tool to detect frailty in older inpatients in Vietnam and predict mortality. Frailty screening can help prioritize targeted frailty-tailored treatments, such as nutrition, early mobility and medication review, for these vulnerable patients to improve clinical outcomes.
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See moreAims To investigate the impact of frailty on outcomes in older hospitalized patients, including prolonged length of stay and all-cause mortality 6 months after admission, using both the frailty phenotype and the Reported Edmonton Frail Scale (REFS). Patients and methods This study is the follow-up phase of a study designed to investigate the prevalence of frailty and its impact on adverse outcomes in older hospitalized patients at the National Geriatric Hospital in Hanoi, Vietnam. Results A total of 461 participants were included, with a mean age 76.2±8.9 years, and 56.8% were female. The prevalence of frailty was 31.9% according to the REFS and 35.4% according to Fried's criteria. The kappa coefficient was 0.57 (95% CI =0.49-0.66) between the two frailty criteria in identifying frail and non-frail participants. There was a trend toward increasing the likelihood of prolonged hospitalization in participants with frailty defined by Fried's criteria (adjusted OR =1.49, 95% CI =0.94-2.35) or by REFS (adjusted OR =1.43, 95% CI =0.89-2.29). During 6 months of follow-up, 210 were lost and 18/251 (7.2%) participants died. Mortality was higher in those with frailty defined by either Fried's criteria or REFS. On multivariable survival analysis, adjusted HRs for mortality were 2.65 (95% CI =1.02-6.89) for Fried's criteria and 4.19 (95% CI =1.59-10.99) for REFS. Conclusion Fried's frailty phenotype or REFS can be used as a screening tool to detect frailty in older inpatients in Vietnam and predict mortality. Frailty screening can help prioritize targeted frailty-tailored treatments, such as nutrition, early mobility and medication review, for these vulnerable patients to improve clinical outcomes.
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Date
2019-01-01Source title
Clinical Interventions in AgingVolume
14Publisher
Dove Medical PressFunding information
ARC CE170100005Licence
Creative Commons Attribution-NonCommercial 4.0Faculty/School
Faculty of Medicine and Health, Sydney School of Public HealthShare