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Winardi K, Mach J, McKay MJ, Molloy MP, Mitchell SJ, MacArthur MR, McKenzie C, Le Couteur DG, Hilmer SN. Chronic polypharmacy, monotherapy, and deprescribing: Understanding complex effects on the hepatic proteome of aging mice. Aging Cell 2025; 24:e14357. [PMID: 39462793 PMCID: PMC11709111 DOI: 10.1111/acel.14357] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/08/2024] [Revised: 08/09/2024] [Accepted: 09/16/2024] [Indexed: 10/29/2024] Open
Abstract
Polypharmacy (use of ≥5 concurrent medications) is highly prevalent among older adults to manage chronic diseases and is linked to adverse geriatric outcomes, including physical and cognitive functional impairments, falls, frailty, hospitalization, and mortality. Deprescribing (withdrawal) is a potential strategy to manage polypharmacy. The broad molecular changes by which polypharmacy causes harm and deprescribing may be beneficial are unknown and unfeasible to study rigorously in tissue from geriatric patients. Therefore, in a randomized controlled trial, we administered therapeutic doses of commonly used chronic medications (oxycodone, oxybutynin, citalopram, simvastatin, or metoprolol) as monotherapy or concurrently (polypharmacy) from middle-age (12 months) to old-age (26 months) to male C57BL/6J (B6) mice and deprescribed (gradually withdrew) treatments in a subset from age 21 months. We compared drug-related hepatic effects by applying proteomics along with transcriptomics and histology. We found that monotherapy effects on hepatic proteomics were limited but significant changes were seen with polypharmacy (93% unique to polypharmacy). Polypharmacy altered the hepatic expression of proteins involved in immunity, and in drug, cholesterol, and amino acid metabolism, accompanied by higher serum drug levels than monotherapies. Deprescribing not only reversed some effects but also caused irreversible and novel changes in the hepatic proteome. Furthermore, our study identified several hepatic protein co-expressed modules that are associated with clinically relevant adverse geriatric outcomes, such as mobility, frailty, and activities of daily living. This study highlights the complex molecular changes following aging, chronic polypharmacy, and deprescribing. Further exploration of these mechanistic pathways may inform management of polypharmacy and deprescribing in older adults.
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Affiliation(s)
- Kevin Winardi
- Laboratory of Ageing and Pharmacology, Kolling Institute, Faculty of Medicine and HealthThe University of Sydney and the Northern Sydney Local Health DistrictSydneyNew South WalesAustralia
| | - John Mach
- Laboratory of Ageing and Pharmacology, Kolling Institute, Faculty of Medicine and HealthThe University of Sydney and the Northern Sydney Local Health DistrictSydneyNew South WalesAustralia
| | - Matthew J. McKay
- Bowel Cancer and Biomarker Laboratory, School of Medical Science, Faculty of Medicine and HealthUniversity of SydneySydneyNew South WalesAustralia
| | - Mark P. Molloy
- Bowel Cancer and Biomarker Laboratory, School of Medical Science, Faculty of Medicine and HealthUniversity of SydneySydneyNew South WalesAustralia
| | | | | | - Catriona McKenzie
- Department of Tissue Pathology and Diagnostic OncologyRoyal Prince Alfred HospitalSydneyNew South WalesAustralia
- Sydney Medical SchoolUniversity of SydneySydneyNew South WalesAustralia
| | - David G. Le Couteur
- Charles Perkins CentreUniversity of SydneySydneyNew South WalesAustralia
- ANZAC Research InstituteUniversity of Sydney and Concord HospitalConcordNew South WalesAustralia
- Centre for Education and Research on Ageing, Faculty of Medicine and HealthThe University of SydneySydneyNew South WalesAustralia
| | - Sarah N. Hilmer
- Laboratory of Ageing and Pharmacology, Kolling Institute, Faculty of Medicine and HealthThe University of Sydney and the Northern Sydney Local Health DistrictSydneyNew South WalesAustralia
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Handajani YS, Schroeder-Butterfill E, Hogervorst E, Turana Y, Hengky A. Multimorbidity and Depression Increase Prevalence of Frailty of Community-dwelling Indonesian Older Adults: Indonesia Care Networks Study. Int J Prev Med 2024; 15:69. [PMID: 39742133 PMCID: PMC11687681 DOI: 10.4103/ijpvm.ijpvm_160_23] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/30/2023] [Accepted: 03/25/2024] [Indexed: 01/03/2025] Open
Abstract
Background Older adults with frailty have an increased risk of multiple negative health outcomes, such as disability, falls, and morbidity when exposed to physical stressors. The present study investigated the prevalence of frailty and associated risk factors among community-dwelling Indonesian older adults in several districts in Jakarta, Indonesia. Methods This cross-sectional study was done in several urban villages in Jakarta, Indonesia. It involved community-dwelling Indonesian older adults aged 60 and over. Sociodemographic and multiple health data were assessed and measured by a trained interviewer. Frailty was evaluated using Fried's criteria. Results The data analysis found a 14.7% prevalence of frailty among 518 participants. Multivariate analysis showed that frailty was independently associated with females (OR 3.62, 95% CI: 1.73-7.55), having multimorbidity (OR 2.01, 95% CI: 1.21-3.35), and clinical depression (OR 2.13, 95% CI: 1.24-3.65). Conclusions Early interventions in younger older adults, especially women in their early 50s or 60s, might decrease frailty risk over age 60. Controlling chronic disease and better mental education and support to reduce depression risk could reduce frailty risk.
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Affiliation(s)
- Yvonne Suzy Handajani
- Department of Public Health and Nutrition, School of Medicine and Health Sciences, Atma Jaya Catholic University of Indonesia, Jakarta, Indonesia
| | | | - Eef Hogervorst
- National Centre for Sports and Exercise Medicine, School of Sports Exercise and Health Sciences, Loughborough University, Loughborough, UK
| | - Yuda Turana
- Department of Neurology, School of Medicine and Health Sciences, Atma Jaya Catholic University of Indonesia, Jakarta, Indonesia
| | - Antoninus Hengky
- Center of Health Research, School of Medicine and Health Sciences, Atma Jaya Catholic University of Indonesia, Jakarta, Indonesia
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Hidzir H, Hairi NN, Kamaruzzaman SB, Awang H. Prevalence and Factors Associated With Frailty Among Community-Dwelling Middle-Aged and Older Adults in Malaysia. Asia Pac J Public Health 2024; 36:486-492. [PMID: 38840495 DOI: 10.1177/10105395241257987] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 06/07/2024]
Abstract
Frailty is identified in middle-aged and older adults, and frail individuals are vulnerable to dependency and poor health. In this study, we analyzed nationally representative data that includes 5592 participants aged 40 years and above to determine the prevalence and factors associated with frailty among community-dwelling middle-aged and older adults in Malaysia. Using a 40-item Frailty Index, the overall prevalence of frailty and prefrailty was 19.5% and 64.1%, respectively. A total of 38.6% of older adults (≥60 years) were frail and 56.2% were prefrail. Among middle-aged adults (<60 years), the prevalence of frailty was 10.4% and that of prefrailty was 67.9%. Factors associated with frailty include older age, ethnicity, low education and income level, moderate to poor self-rated health, abdominal obesity, absence of a spouse, and previous history of falls. These findings may serve as evidence for the implementation of a frailty policy and health care planning in Malaysia.
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Affiliation(s)
- Hiziani Hidzir
- Centre for Epidemiology and Evidence-Based Practice, Department of Social and Preventive Medicine, Universiti Malaya, Kuala Lumpur, Malaysia
| | - Noran Naqiah Hairi
- Centre for Epidemiology and Evidence-Based Practice, Department of Social and Preventive Medicine, Universiti Malaya, Kuala Lumpur, Malaysia
| | - Shahrul Bahyah Kamaruzzaman
- Division of Geriatrics, Department of Medicine, Faculty of Medicine, Universiti Malaya, Kuala Lumpur, Malaysia
| | - Halimah Awang
- Social Wellbeing Research Centre, Office of Deputy Vice-Chancellor (Research & Innovation), Universiti Malaya, Kuala Lumpur, Malaysia
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Liu J, Zhu Y, Tan JK, Ismail AH, Ibrahim R, Hassan NH. Factors Associated with Frailty in Older Adults in Community and Nursing Home Settings: A Systematic Review with a Meta-Analysis. J Clin Med 2024; 13:2382. [PMID: 38673654 PMCID: PMC11050860 DOI: 10.3390/jcm13082382] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/06/2024] [Revised: 03/06/2024] [Accepted: 03/07/2024] [Indexed: 04/28/2024] Open
Abstract
Background: Frailty is a globally recognized issue. However, there is a lack of evidence exploring factors associated with frailty among older residents in community and nursing-home settings. Methods: To explore the prevalence and factors associated with frailty among older adults in community and nursing-home settings, we conducted a systematic search following the PRISMA guidelines across Web of Science, MEDLINE, EMBASE, PubMed, and Cochrane databases up until January 2024, selecting 38 studies which encompassed 150,642 participants. Results: Our findings showed higher frailty prevalence in nursing homes compared to communities. Frailty was significantly associated with sociodemographic (living alone, poor self-reported health), physiological (poor sleep, low activity of daily living), behavioral (physical inactivity) and disease (chronic conditions, depression) factors in both community and nursing-home settings. Conclusions: There are numerous factors associated with frailty in older adults in nursing-home and community settings. These factors underscore the significance of promptly identifying high-risk individuals and devising appropriate interventions to mitigate frailty among them.
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Affiliation(s)
- Jia Liu
- Department of Nursing, Faculty of Medicine, Universiti Kebangsaan Malaysia, Kuala Lumpur 56000, Malaysia; (J.L.); (A.H.I.)
| | - Yuezhi Zhu
- Department of Biochemistry, Faculty of Medicine, Universiti Kebangsaan Malaysia, Kuala Lumpur 56000, Malaysia; (Y.Z.); (J.K.T.)
| | - Jen Kit Tan
- Department of Biochemistry, Faculty of Medicine, Universiti Kebangsaan Malaysia, Kuala Lumpur 56000, Malaysia; (Y.Z.); (J.K.T.)
| | - Azera Hasra Ismail
- Department of Nursing, Faculty of Medicine, Universiti Kebangsaan Malaysia, Kuala Lumpur 56000, Malaysia; (J.L.); (A.H.I.)
| | - Roszita Ibrahim
- Department of Public Health Medicine, Faculty of Medicine, Universiti Kebangsaan Malaysia, Kuala Lumpur 56000, Malaysia;
| | - Nor Haty Hassan
- Department of Nursing, Faculty of Medicine, Universiti Kebangsaan Malaysia, Kuala Lumpur 56000, Malaysia; (J.L.); (A.H.I.)
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Soenarti S, Mahendra AI, Rudijanto A, Soeharto S, Ratnawati R, Maryunani, Marintan S. Cognitive status and low sun exposure as frailty major risk factor among older people in a rural area of East Java, Indonesia: A cross-sectional study. Geriatr Gerontol Int 2024; 24 Suppl 1:170-175. [PMID: 37992737 DOI: 10.1111/ggi.14738] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/15/2023] [Revised: 10/22/2023] [Accepted: 10/29/2023] [Indexed: 11/24/2023]
Abstract
AIM To reveal the prevalence of frailty and factors that strongly affected the frailty condition among older adults in East Java, Indonesia. METHOD We conducted a cross-sectional study carried out among 400 older adults aged ≥60 years without any acute illness. Data were collected from rural area in two locations in Malang and Pasuruan, East Java, Indonesia, in 2019-2020. For data collection, we used the sociodemographic profile assessment, Fried frailty phenotype, Geriatric Depression Scale, Mini Mental State assessment, sun exposure, handgrip strength, International Physical Activity Questionnaire, walk score, and body mass index. We used logistic regression statistics for data analysis. RESULTS The result showed that 2.5% were robust, 83% were prefrail, and 14.5% were frail. A higher proportion of subjects were aged 60-74 years (83.3%), women (70.3%), with lower educational status (84.5%). Multivariate analysis showed that the intrinsic factors low cognitive status (odds ratio [OR], 3.052 [95% confidence interval (CI), 1.691-5.508]) and older age (OR, 3.073 [95% CI, 1.637-5.767]) were associated with frailty among the older adults in a rural area. Depression was also associated with frailty (OR, 2.458 [95% CI, 0.465-12.985]). From extrinsic factors, we also found that low sun exposure (OR, 2.931 [95% CI, 1.650-5.204]) and unemployment (OR, 1.997 [95% CI, 1.112-3.588]) were associated with frailty. CONCLUSION For the Indonesian elderly in this study, low cognitive status, older age, depression, low sun exposure, and unemployment were associated with frailty. Understanding the modifiable risk factors of frailty can provide a valuable reference for future prevention and intervention. Geriatr Gerontol Int 2024; 24: 170-175.
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Affiliation(s)
- Sri Soenarti
- Geriatric Division, Department of Internal Medicine, Faculty of Medicine, Brawijaya University, Malang, Indonesia
- Clinical Epidemiology and Evidence Based Medicine Study Group, Faculty of Medicine, Brawijaya University, Malang, Indonesia
- Center of Study Degenerative Disease, Brawijaya University, Malang, Indonesia
| | - Aditya Indra Mahendra
- Department of Internal Medicine, Faculty of Medicine, Brawijaya University, Malang, Indonesia
| | - Achmad Rudijanto
- Department of Internal Medicine, Faculty of Medicine, Brawijaya University, Malang, Indonesia
| | - Setyawati Soeharto
- Department of Pharmacology, Faculty of Medicine, Brawijaya University, Malang, Indonesia
| | - Retty Ratnawati
- Department of Physiology, Faculty of Medicine, Brawijaya University, Malang, Indonesia
| | - Maryunani
- Faculty of Economics and Bussiness, Brawijaya University, Malang, Indonesia
| | - Silmy Marintan
- Geriatric Division, Department of Internal Medicine, Faculty of Medicine, Brawijaya University, Malang, Indonesia
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Pradana AA, Chiu HL, Lin CJ, Lee SC. Prevalence of frailty in Indonesia: a systematic review and meta-analysis. BMC Geriatr 2023; 23:778. [PMID: 38012546 PMCID: PMC10680226 DOI: 10.1186/s12877-023-04468-y] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/30/2023] [Accepted: 11/08/2023] [Indexed: 11/29/2023] Open
Abstract
BACKGROUND Frailty increases the risks of hospitalization, injury, fall, psychological disorders, and death in older adults. Accurate estimation of the prevalence of frailty is crucial for promoting health in these individuals. Therefore, this study was conducted to estimate the prevalence of frailty and prefrailty in older adults residing in Indonesia. METHODS In accordance with the Preferred Reporting Items for Systematic Reviews and Meta-Analysis guidelines, six electronic databases were searched (without any language restriction) for relevant articles from inception to February 2023. Studies on the prevalence of frailty and prefrailty in older adults (age ≥ 60 years) residing in Indonesia were included in the analysis. A random-effects model was selected a priori because of the expected high degree of heterogeneity in the study, followed by sensitivity analysis, subgroup analysis, and meta-regression. The protocol of this review study was registered in the PROSPERO database (CRD42022381132). RESULTS A total of 79 studies were identified, of which 20 were finally included in the analysis. The pooled prevalence of frailty and prefrailty in older adults in Indonesia was 26.8% and 55.5%, respectively. The pooled prevalence of frailty and prefrailty was 37.9% and 44.8% in nursing homes, 26.3% and 61.4% in hospitals, and 21.1% and 59.6% in community settings, respectively. Furthermore, the pooled prevalence of frailty and prefrailty was 21.6% and 64.3%, 18.7% and 62%, and 27.8% and 59.8% in studies using the Frailty Index-40, FRAIL, and Fried Frailty Phenotype questionnaires, respectively. However, the parameters did not vary significantly across measurement tools or study settings. Publication bias was not detected while the year of data collection influenced the heterogeneity between the studies. CONCLUSIONS To the best of our knowledge, this study is the first meta-analysis to report the prevalence of frailty and prefrailty in older adults residing in Indonesia. The gradual increase in the number of older adults with frailty or prefrailty in Indonesia is concerning. Therefore, the government, private sectors, health-care professionals, and the community must jointly design effective strategies and policies to address this problem.
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Affiliation(s)
- Anung Ahadi Pradana
- STIKes Mitra Keluarga, Bekasi-Indonesia, Indonesia
- International PhD Program in Gerontology and Long-Term Care, College of Nursing, Taipei Medical University, Taipei, Taiwan
| | - Huei-Ling Chiu
- International PhD Program in Gerontology and Long-Term Care, College of Nursing, Taipei Medical University, Taipei, Taiwan
- School of Gerontology and Long-Term Care, College of Nursing, Taipei Medical University, Taipei, Taiwan
| | - Chen-Ju Lin
- Department of Rehabilitation Medicine, Taipei Tzu Chi Hospital, Buddhist Tzu Chi Medical Foundation, New Taipei, Taiwan
| | - Shu-Chun Lee
- International PhD Program in Gerontology and Long-Term Care, College of Nursing, Taipei Medical University, Taipei, Taiwan.
- School of Gerontology and Long-Term Care, College of Nursing, Taipei Medical University, Taipei, Taiwan.
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Qin Y, Hao X, Lv M, Zhao X, Wu S, Li K. A global perspective on risk factors for frailty in community-dwelling older adults: A systematic review and meta-analysis. Arch Gerontol Geriatr 2023; 105:104844. [PMID: 36335672 DOI: 10.1016/j.archger.2022.104844] [Citation(s) in RCA: 11] [Impact Index Per Article: 5.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/21/2022] [Revised: 10/16/2022] [Accepted: 10/17/2022] [Indexed: 12/13/2022]
Abstract
BACKGROUND Frailty has become an important determinant of a series of adverse health outcomes. We explored the risk factors for frailty in older adults in the community from a global perspective and explore whether there are ethnic differences in these risk factors. METHODS The systematic review and meta-analysis (PROSPERO registration number: CRD42022323342) was searched using six electronic databases, including PubMed, Embase, the Cochrane Library, Web of Science, PsycINFO (EBSCO) and CINAHL (EBSCO) from inception to October 2021. We assessed study eligibility by inclusion and excluded criteria. Cohort studies included were assessed according to the Newcastle-Ottawa Scale. Cross-sectional studies were assessed by the bias risk evaluation standard recommended by the Agency for Health care Research and Quality. The results were reported by a narrative synthesis and pooled analyses. Statistical analyses were performed in Review Manager 5.3 software. RESULTS We reviewed 10870 studies, and 62 studies were included. The results showed a significant association between multidomain risk factors and the frailty of global older adults, including demographic factors, health-related factors, and physical factors. Marital status, depression, risk of malnutrition, history of falls and disease-related symptoms are also risk factors for frailty among older people in Asia. CONCLUSION Multiple domain factors were associated with frailty among older people around the world. Compared with the rest of the world, Asian populations are exposed to more risk factors for frailty. Therefore, health care providers should consider the characteristics of risk factors for frailty in this region when formulating intervention measures related to frailty.
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Affiliation(s)
- Yuan Qin
- School of Nursing, Jilin University, 965 Xinjiang Street, Changchun, Jilin 130021, China
| | - Xiaonan Hao
- School of Nursing, Jilin University, 965 Xinjiang Street, Changchun, Jilin 130021, China
| | - Miaohua Lv
- School of Nursing, Jilin University, 965 Xinjiang Street, Changchun, Jilin 130021, China
| | - Xuetong Zhao
- School of Nursing, Jilin University, 965 Xinjiang Street, Changchun, Jilin 130021, China
| | - Shuang Wu
- School of Nursing, Jilin University, 965 Xinjiang Street, Changchun, Jilin 130021, China
| | - Kun Li
- School of Nursing, Jilin University, 965 Xinjiang Street, Changchun, Jilin 130021, China.
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Toh JJY, Zhang H, Soh YY, Zhang Z, Wu XV. Prevalence and health outcomes of polypharmacy and hyperpolypharmacy in older adults with frailty: A systematic review and meta-analysis. Ageing Res Rev 2023; 83:101811. [PMID: 36455791 DOI: 10.1016/j.arr.2022.101811] [Citation(s) in RCA: 18] [Impact Index Per Article: 9.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/08/2022] [Revised: 11/12/2022] [Accepted: 11/25/2022] [Indexed: 11/30/2022]
Abstract
Polypharmacy is a prevalent issue in older adults, associated with a wide range of adverse health outcomes, amplified in those with frailty. This review aims to synthesize current literature on the prevalence and health outcomes of polypharmacy and hyperpolypharmacy in older adults with frailty. A systematic search was carried out within ten databases till December 2021. Data was extracted using a piloted data extraction form, and methodological quality was assessed using JBI critical appraisal checklists. Meta-analyses were conducted for prevalence, and narrative synthesis was conducted for the health outcomes of polypharmacy and hyperpolypharmacy in older adults with frailty. Heterogeneity was assessed using Chi2 and I2 statistics, with sensitivity and subgroup analyses performed to explore sources of heterogeneity. Sixty-six studies were included for this review. The overall pooled prevalence of polypharmacy and hyperpolypharmacy was 59% and 22% respectively. When stratifying the studies by setting, WHO regions, in eighteen frailty assessment instruments, and by its year of publication, subgroup analysis found the highest rates of prevalence in the hospital setting (71%), in the European region (68%), when Reported Edmonton Frail Scale was used (96%), and in studies published in 2015 (86%). Additionally, frail older adults with polypharmacy were less likely to experience an improvement in frailty states, had higher risks of mortality, were more likely to suffer adverse hospital-related outcomes, and required additional assistance compared to those without polypharmacy. Therefore, the high prevalence and poorer health outcomes urges the healthcare providers and health policymakers to develop and implement preventative and restorative measures targeted at the adverse outcomes associated with polypharmacy and hyperpolypharmacy in older adults with frailty.
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Affiliation(s)
- Janice Jia Yun Toh
- Alice Lee Centre for Nursing Studies, Yong Loo Lin School of Medicine, National University of Singapore, Level 2, Clinical Research Centre, Block MD 11,10 Medical Drive, 117597, Singapore.
| | - Hui Zhang
- Alice Lee Centre for Nursing Studies, Yong Loo Lin School of Medicine, National University of Singapore, Level 2, Clinical Research Centre, Block MD 11,10 Medical Drive, 117597, Singapore; St Andrew's Community Hospital, 8 Simei Street 3, 529895, Singapore.
| | - Yang Yue Soh
- Alice Lee Centre for Nursing Studies, Yong Loo Lin School of Medicine, National University of Singapore, Level 2, Clinical Research Centre, Block MD 11,10 Medical Drive, 117597, Singapore.
| | - Zeyu Zhang
- Institute for Hospital Management, Tsinghua University, Beijing 100084, People's Republic of China.
| | - Xi Vivien Wu
- Alice Lee Centre for Nursing Studies, Yong Loo Lin School of Medicine, National University of Singapore, Level 2, Clinical Research Centre, Block MD 11,10 Medical Drive, 117597, Singapore; NUSMED Healthy Longevity Translational Research Programme, National University of Singapore, 28 Medical Drive, 117456, Singapore.
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Yuan Y, Lin S, Huang X, Li N, Zheng J, Huang F, Zhu P. The identification and prediction of frailty based on Bayesian network analysis in a community-dwelling older population. BMC Geriatr 2022; 22:847. [PMID: 36368951 PMCID: PMC9652858 DOI: 10.1186/s12877-022-03520-7] [Citation(s) in RCA: 7] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/15/2022] [Revised: 09/29/2022] [Accepted: 10/11/2022] [Indexed: 11/13/2022] Open
Abstract
Background We have witnessed frailty, which characterized by a decline in physiological reserves, become a major public health issue in older adults. Understanding the influential factors associated with frailty may help prevent or if possible reverse frailty. The present study aimed to investigate factors associated with frailty status and frailty transition in a community-dwelling older population. Methods A prospective cohort study on community-dwelling subjects aged ≥ 60 years was conducted, which was registered beforehand (ChiCTR 2,000,032,949). Participants who had completed two visits during 2020–2021 were included. Frailty status was evaluated using the Fried frailty phenotype. The least absolute shrinkage and selection operator (LASSO) regression was applied for variable selection. Bayesian network analysis with the max-min hill-climbing (MMHC) algorithm was used to identify factors related to frailty status and frailty transition. Results Of 1,981 subjects at baseline, 1,040 (52.5%) and 165 (8.33%) were classified as prefrailty and frailty. After one year, improved, stable, and worsening frailty status was observed in 460 (35.6%), 526 (40.7%), and 306 (23.7%) subjects, respectively. Based on the variables screened by LASSO regression, the Bayesian network structure suggested that age, nutritional status, instrumental activities of daily living (IADL), balance capacity, and social support were directly related to frailty status. The probability of developing frailty is 14.4% in an individual aged ≥ 71 years, which increases to 20.2% and 53.2% if the individual has balance impairment alone, or combined with IADL disability and malnutrition. At a longitudinal level, ADL/IADL decline was a direct predictor of worsening in frailty state, which further increased the risk of hospitalization. Low high-density lipoprotein cholesterol (HDL-C) and diastolic blood pressure (DBP) levels were related to malnutrition, and further had impacts on ADL/IADL decline, and ultimately led to the worsening of the frailty state. Knowing the status of any one or more of these factors can be used to infer the risk of frailty based on conditional probabilities. Conclusion Older age, malnutrition, IADL disability, and balance impairment are important factors for identifying frailty. Malnutrition and ADL/IADL decline further predict worsening of the frailty state. Supplementary Information The online version contains supplementary material available at 10.1186/s12877-022-03520-7.
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Abstract
AIMS To clarify the risk factors for frailty to help doctors prevent diseases that cause weakness, through early interventions. METHODS We searched the PubMed, EMBASE, and Cochrane Library databases to identify all relevant studies using the items "frailty," "weak," "risk factors," and "predictive factors" and compared their results. The aging population (≥65 years old) was divided into 2 groups, a "frailty group" and a "robust control group," and then the characteristics, lifestyles, and comorbidities were compared. RESULTS We compared the influence of baseline and concomitant diseases on frailty in the elderly respectively, and the analysis of the influence of baseline on frailty found that increasing age, lower weight, female sex, living alone, low levels of exercise, polypharmacy, higher education level, smoking, drinking, malnutrition, and lower vitamin D levels were associated with aging individuals being more likely to experience frailty. The data about concomitant diseases had shown that diabetes, hearing dysfunction, cognitive impairment, poor sleep, a history of falls, pain, and depression can increase the risk of frailty among the elderly population. CONCLUSION Characteristics, comorbidities, and lifestyle factors can impact the occurrence of frailty, and relevant influencing factors should be considered.
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Affiliation(s)
- Xinrui Wang
- Department of Nursery, Gulin people’s Hospital, Sichuan, China
| | - Jiji Hu
- Department of Nursery, Gulin people’s Hospital, Sichuan, China
| | - Diping Wu
- Department of Nursery, Gulin people’s Hospital, Sichuan, China
- *Correspondence: Diping Wu, Department of Nursery, Gulin people’s Hospital, Sichuan 646500, China (e-mail: )
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Oral Factors as Predictors of Frailty in Community-Dwelling Older People: A Prospective Cohort Study. INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH 2022; 19:ijerph19031145. [PMID: 35162167 PMCID: PMC8834726 DOI: 10.3390/ijerph19031145] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Subscribe] [Scholar Register] [Received: 12/16/2021] [Revised: 01/17/2022] [Accepted: 01/18/2022] [Indexed: 11/17/2022]
Abstract
The purpose of this prospective cohort study was to identify predictors for frailty among possible oral factors in community-dwelling older people. Ninety-seven participants (≥60 years old) without frailty at baseline were included and assigned to either the robust or the frailty group after 2-year follow-up. The frailty was defined using the Japan Cardiovascular Health Study index. The numbers of present and functional teeth and periodontal disease severity were recorded. Bacterial counts on the dorsum of the tongue, oral moisture, tongue pressure, occlusal force, masticatory ability, and the oral diadochokinesis (ODK) rate were measured. Swallowing function, along with psychosocial status, relationships with communities and people, nutritional status, medical history, and comorbidities were evaluated using a questionnaire. The newly identified frailty group at follow-up showed significantly lower values in the number of teeth present, ODK/ta/sound and ODK/ka/sound rates, and clinical attachment level at baseline compared to the robust group. A logistic regression model showed a significantly negative association between the ODK/ta/sound rate at baseline and the incidence of frailty. Articulatory oral motor skill was found to be a predictor of frailty after two years.
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Sunarti S, Indriyaningrum N, Wahono C, Soeatmadji D, Rudijanto A, Ratnawati R, Soeharto Karyono S, Maryunani M. Plasma Levels of Interleukin-6 and the Cluster of Differentiation 4/Cluster of Differentiation 8 Ratio in Frailty among Community-dwelling Older People. Open Access Maced J Med Sci 2021. [DOI: 10.3889/oamjms.2021.6389] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/05/2022] Open
Abstract
Background: Frailty has become a major health problem among Indonesian elders. Immunosenescence specifically inflammaging are essential components in the development of frailty. Early screening and timely tailored intervention may effectively prevent or delay the adverse outcomes in elders. This study measured the CD4/CD8 ratio from the immunosenescence pathway and plasma IL-6 levels as inflammatory markers from the inflammaging pathway and observed the correlations between robust and frail elders groups
Methods: We conducted a cross-sectional survey. Using multistage random sampling, we enrolled 64 participants across Malang city, divided into frail and robust groups. We analyzed the plasma IL-6 levels and CD4/CD8 ratio using an independent t-test and the Mann–Whitney U test.
Results: Significant differences between frail and robust elders were found in age and education level, with the frail participants being older than the robust (p=0.001) and lower educational level (p<0.001). However, plasma IL-6 levels (p=0.936) and the CD4/CD8 ratio (p=0.468) were not statistically different between the groups.
Conclusion: Plasma level of IL-6 was found to increase similarly in both groups, while CD4/CD8 ratio was normal and not statistically different between the robust and frail group in elders.
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