Jiyeon Kang1, Yeon Jin Jeong2, Jun Hee Jang2, Minju Lee3. 1. College of Nursing, Dong-A University, Busan, South Korea. 2. Department of Nursing, Dongju College, Busan, South Korea. 3. Department of Nursing, Youngsan University, Yangsan, South Korea. Electronic address: mjlee@ysu.ac.kr.
Abstract
OBJECTIVES: The purpose of this study was to investigate the prevalence of frailty and its risk factors among critical care survivors who were discharged after receiving treatment in an intensive care unit. METHODS: This was a secondary analysis using data from a methodological study conducted between June and August 2018. The sample included 494 adults who had been admitted to the intensive care unit for more than 48 hours within a year. Only post-intensive care frailty was evaluated using the Kihon Checklist. The sociodemographic and intensive care-related risk factors for frailty were analysed using multivariate logistic regression. RESULTS: The prevalence of frailty in the sample was 65.8%. The risk factors for frailty were female sex (adjusted odds ratio [aOR] = 1.68, 95% CI: 1.02-2.78), aged 70 years or older (aOR = 4.16, 95% CI: 2.00-8.65), unemployment (aOR = 2.41, 95% CI: 1.39-4.17) and longer ICU days (aOR = 2.29, 95% CI: 1.35-3.91). Analysis of differences in risk factors according to sex revealed that risk factors for frailty were unemployment and longer ICU length of stay for male and older age for female. CONCLUSION: Health care providers should be aware of frailty risk factors in female and male patients and provide patient-specific interventions for preventing frailty.
OBJECTIVES: The purpose of this study was to investigate the prevalence of frailty and its risk factors among critical care survivors who were discharged after receiving treatment in an intensive care unit. METHODS: This was a secondary analysis using data from a methodological study conducted between June and August 2018. The sample included 494 adults who had been admitted to the intensive care unit for more than 48 hours within a year. Only post-intensive care frailty was evaluated using the Kihon Checklist. The sociodemographic and intensive care-related risk factors for frailty were analysed using multivariate logistic regression. RESULTS: The prevalence of frailty in the sample was 65.8%. The risk factors for frailty were female sex (adjusted odds ratio [aOR] = 1.68, 95% CI: 1.02-2.78), aged 70 years or older (aOR = 4.16, 95% CI: 2.00-8.65), unemployment (aOR = 2.41, 95% CI: 1.39-4.17) and longer ICU days (aOR = 2.29, 95% CI: 1.35-3.91). Analysis of differences in risk factors according to sex revealed that risk factors for frailty were unemployment and longer ICU length of stay for male and older age for female. CONCLUSION: Health care providers should be aware of frailty risk factors in female and male patients and provide patient-specific interventions for preventing frailty.