Background: We previously demonstrated a higher prevalence of frailty among AGEhIV-cohort participants with HIV (PWH) than among age- and lifestyle-comparable HIV-negative participants. Furthermore, frailty was associated with the development of comorbidities and mortality. As frailty may be a dynamic state, we evaluated the frequency of transitions between frailty states, and explored which factors were associated with transition toward frailty in this cohort.
Methods: The study enrolled 598 PWH and 550 HIV-negative participants aged ≥45 years. Of those, 497 and 479 participants, respectively, participated in ≥2 consecutive biennial study-visits between October 2010 and October 2016, contributing 918 and 915 visit-pairs, respectively. We describe the frequency, direction, and risk factors of frailty transitions. Logistic regression models with generalized estimating equations were used to evaluate determinants for transition to frailty, including HIV-status, socio-demographic, behavioral, HIV-related factors, and various inflammatory and related biomarkers.
Results: Transitioning between frailty states in any direction occurred in 36% of a total of 1833 visit-pairs. The odds of nonfrail participants transitioning toward frailty were significantly higher for PWH, occurring in 35 PWH (7.3%) and 25 (5.2%) HIV-negative nonfrail participants, respectively (odd ratioHIV 2.19, 95% confidence interval 1.28 to 3.75). The increased risk among PWH was attenuated when sequentially adjusting for waist-hip ratio, number of pre-existent comorbidities, and the presence of depressive symptoms.
Conclusion: PWH are at increased risk of transitioning to frailty, and thereby at increased risk of adverse health outcomes. Whether optimizing the management of obesity, comorbidity, or depressive symptoms may modify the risk of becoming frail requires further investigation.
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http://dx.doi.org/10.1097/QAI.0000000000002532 | DOI Listing |
Ann Acad Med Singap
December 2024
Department of Transitional Care Community Medicine, Sengkang General Hospital, Singapore.
Front Med (Lausanne)
December 2024
Department of Emergency Medicine, Chi Mei Medical Center, Tainan, Taiwan.
Aim: Transitional care in the emergency department (ED) has the potential to improve outcomes for older patients, but the specific population benefits from it and impact in Taiwan remain unclear. Therefore, we conducted this study.
Methods: An interdisciplinary team comprising emergency physicians, dedicated transitional care nurse (TCN), nurse practitioners, nurses, geriatricians, and social workers was established at a tertiary medical center.
Geroscience
December 2024
School of Nursing, Southern Medical University, No. 1023 Shatai Road (South), Baiyun District, Guangzhou City, Guangdong Province, China.
This study aims to analyze the characteristics of EEG microstates across different cognitive frailty (CF) subtypes, providing insights for the prevention and early diagnosis of CF. This study included 60 eligible older adults. Their resting-state EEG microstates were analyzed using agglomerative adaptive hierarchical clustering.
View Article and Find Full Text PDFJ Am Med Dir Assoc
December 2024
Division of Health Sciences, Osaka University Graduate School of Medicine, Osaka, Japan. Electronic address:
Objectives: The study aimed to develop a machine learning (ML) model to predict early postdischarge falls in older adults using data that are easy to collect in acute care hospitals. This may reduce the burden imposed by complex measures on patients and health care staff.
Design: This prospective multicenter study included patients admitted to and discharged from geriatric wards at 3 university hospitals and 1 national medical center in Japan between October 2019 and July 2023.
JMIR Form Res
December 2024
National Institute for Health and Care Research (NIHR) Policy Research Unit in Older People and Frailty / Healthy Ageing, School of Health Sciences, Faculty of Biology, Medicine and Health, The University of Manchester, Manchester, United Kingdom.
Background: The COVID-19 pandemic from 2020 to 2022 prompted governments worldwide to enforce lockdowns and social restrictions, alongside the rapid adoption of digital health and care services. However, there are concerns about the potential exclusion of older adults, who face barriers to digital inclusion, such as age, socioeconomic status, literacy level, and ethnicity.
Objective: This study aims to explore the experiences of older adults from the 3 largest minoritized ethnic groups in England and Wales-people of South Asian, Black African, and Caribbean backgrounds-in the use of digitalized primary care services since the beginning of the COVID-19 pandemic.
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