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Sheets KM, Fink HA, Langsetmo L, Kats AM, Schousboe JT, Yaffe K, Ensrud KE. Incremental Healthcare Costs of Dementia and Cognitive Impairment in Community-Dwelling Older Adults: A Prospective Cohort Study. J Gerontol A Biol Sci Med Sci 2025; 80:glaf030. [PMID: 39953969 PMCID: PMC12019230 DOI: 10.1093/gerona/glaf030] [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: 09/27/2024] [Indexed: 02/17/2025] Open
Abstract
BACKGROUND Cognitive impairment and dementia are associated with higher healthcare costs; whether these increased costs are attributable to a greater comorbidity burden is unknown. We sought to determine associations of cognitive impairment and dementia with subsequent total and sector-specific healthcare costs after accounting for comorbidities and to compare costs by method of case ascertainment. METHODS Index examinations (2002-2011) of 4 prospective cohort studies linked with Medicare claims. 8 165 community-dwelling Medicare fee-for-service beneficiaries (4 318 women; 3 847 men). Cognitive impairment identified by self-or-proxy report of dementia and/or abnormal cognitive testing. Claims-based dementia and comorbidities derived from claims using Chronic Condition Warehouse algorithms. Annualized healthcare costs (2023 dollars) were ascertained for 36 months following index examinations. RESULTS 521 women (12.1%) and 418 men (10.9%) met the criteria for cognitive impairment; 388 women (9%) and 234 men (6.1%) met the criteria for claims-based dementia. After accounting for age, race, geographic region, and comorbidities, mean incremental costs of cognitive impairment versus no cognitive impairment in women (men) were $6 883 ($7 276) for total healthcare costs, $4 160 ($4 047) for inpatient costs, $1 206 ($1 587) for skilled nursing facility (SNF) costs, and $689 ($668) for home healthcare (HHC) costs. Mean adjusted incremental total and inpatient costs associated with claims-based dementia were smaller in magnitude and not statistically significant. Mean adjusted incremental costs of claims-based dementia versus no claims-based dementia in women (men) were $759 ($1 251) for SNF costs and $582 ($535) for HHC costs. CONCLUSIONS Cognitive impairment is independently associated with substantial incremental total and sector-specific healthcare expenditures not fully captured by claims-based dementia or comorbidity burden.
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Affiliation(s)
- Kerry M Sheets
- Department of Medicine, Hennepin Healthcare, Minneapolis, Minnesota, USA
- Department of Medicine, University of Minnesota, Minneapolis, Minnesota, USA
| | - Howard A Fink
- Center for Care Delivery & Outcomes Research, Minneapolis VA Health Care System, Minneapolis, Minnesota, USA
- Geriatric Research Education & Clinical Center, Minneapolis VA Health Care System, Minneapolis, Minnesota, USA
| | - Lisa Langsetmo
- Department of Medicine, University of Minnesota, Minneapolis, Minnesota, USA
- Center for Care Delivery & Outcomes Research, Minneapolis VA Health Care System, Minneapolis, Minnesota, USA
| | - Allyson M Kats
- Division of Epidemiology & Community Health, School of Public Health, University of Minnesota, Minneapolis, Minnesota, USA
| | - John T Schousboe
- Rheumatology Department, HealthPartners Institute, Bloomington, Minnesota, USA
- Divison of Health Policy & Management, School of Public Health, University of Minnesota, Minneapolis, Minnesota, USA
| | - Kristine Yaffe
- Departments of Psychiatry, Neurology, and Epidemiology & Biostatistics, University of California, San Francisco, San Francisco, California, USA
- San Francisco Veterans Affairs Health Care System, San Francisco, California, USA
| | - Kristine E Ensrud
- Department of Medicine, University of Minnesota, Minneapolis, Minnesota, USA
- Division of Epidemiology & Community Health, School of Public Health, University of Minnesota, Minneapolis, Minnesota, USA
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Ma LZ, Ge YJ, Zhang Y, Cui XH, Feng JF, Cheng W, Tan L, Yu JT. Identifying modifiable factors and their joint effect on frailty: a large population-based prospective cohort study. GeroScience 2025; 47:2067-2078. [PMID: 39441508 PMCID: PMC11979021 DOI: 10.1007/s11357-024-01395-7] [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: 08/12/2024] [Accepted: 10/11/2024] [Indexed: 10/25/2024] Open
Abstract
A thorough understanding and identification of potential determinants leading to frailty are imperative for the development of targeted interventions aimed at its prevention or mitigation. We investigated the potential determinants of frailty in a cohort of 469,301 UK Biobank participants. The evaluation of frailty was performed using the Fried index, which encompasses measurements of handgrip strength, gait speed, levels of physical activity, unintentional weight loss, and self-reported exhaustion. EWAS including 276 factors were first conducted. Factors associated with frailty in EWAS were further combined to generate composite scores for different domains, and joint associations with frailty were evaluated in a multivariate logistic model. The potential impact on frailty when eliminating unfavorable profiles of risk domains was evaluated by PAFs. A total of 21,020 (4.4%) participants were considered frailty, 192,183 (41.0%) pre-frailty, and 256,098 (54.6%) robust. The largest EWAS identified 90 modifiable factors for frailty across ten domains, each of which independently increased the risk of frailty. Among these factors, 67 have the potential to negatively impact health, while 23 have been found to have a protective effect. When shifting all unfavorable profiles to intermediate and favorable ones, overall adjusted PAF for potentially modifiable frailty risk factors was 85.9%, which increases to 86.6% if all factors are transformed into favorable tertiles. Health and medical history, psychosocial factors, and physical activity were the most significant contributors, accounting for 11.9%, 10.4%, and 10.1% respectively. This study offers valuable insights for developing population-level strategies aimed at preventing frailty.
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Affiliation(s)
- Ling-Zhi Ma
- Department of Neurology, Qingdao Municipal Hospital, Qingdao University, Qingdao, 266071, China
| | - Yi-Jun Ge
- Department of Neurology and National Center for Neurological Disorders, Huashan Hospital, State Key Laboratory of Medical Neurobiology and MOE Frontiers Center for Brain Science, Shanghai Medical College, Fudan University, 12Th Wulumuqi Zhong Road, Shanghai, 200040, China
| | - Yi Zhang
- Department of Neurology and National Center for Neurological Disorders, Huashan Hospital, State Key Laboratory of Medical Neurobiology and MOE Frontiers Center for Brain Science, Shanghai Medical College, Fudan University, 12Th Wulumuqi Zhong Road, Shanghai, 200040, China
| | - Xi-Han Cui
- Department of Neurology and National Center for Neurological Disorders, Huashan Hospital, State Key Laboratory of Medical Neurobiology and MOE Frontiers Center for Brain Science, Shanghai Medical College, Fudan University, 12Th Wulumuqi Zhong Road, Shanghai, 200040, China
| | - Jian-Feng Feng
- Department of Neurology and National Center for Neurological Disorders, Huashan Hospital, State Key Laboratory of Medical Neurobiology and MOE Frontiers Center for Brain Science, Shanghai Medical College, Fudan University, 12Th Wulumuqi Zhong Road, Shanghai, 200040, China
- Institute of Science and Technology for Brain-Inspired Intelligence, Fudan University, Shanghai, China
- Key Laboratory of Computational Neuroscience and Brain-Inspired Intelligence, Fudan University, Ministry of Education, Shanghai, China
- Fudan ISTBI-ZJNU Algorithm Centre for Brain-Inspired Intelligence, Zhejiang Normal University, Jinhua, China
| | - Wei Cheng
- Department of Neurology and National Center for Neurological Disorders, Huashan Hospital, State Key Laboratory of Medical Neurobiology and MOE Frontiers Center for Brain Science, Shanghai Medical College, Fudan University, 12Th Wulumuqi Zhong Road, Shanghai, 200040, China
- Institute of Science and Technology for Brain-Inspired Intelligence, Fudan University, Shanghai, China
- Key Laboratory of Computational Neuroscience and Brain-Inspired Intelligence, Fudan University, Ministry of Education, Shanghai, China
- Fudan ISTBI-ZJNU Algorithm Centre for Brain-Inspired Intelligence, Zhejiang Normal University, Jinhua, China
- Shanghai Medical College and Zhongshan Hosptital Immunotherapy Technology Transfer Center, Shanghai, China
| | - Lan Tan
- Department of Neurology, Qingdao Municipal Hospital, Qingdao University, Qingdao, 266071, China.
| | - Jin-Tai Yu
- Department of Neurology and National Center for Neurological Disorders, Huashan Hospital, State Key Laboratory of Medical Neurobiology and MOE Frontiers Center for Brain Science, Shanghai Medical College, Fudan University, 12Th Wulumuqi Zhong Road, Shanghai, 200040, China.
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Laosa O, Topinkova E, Bourdel-Marchasson I, Vellas B, Izquierdo M, Paolisso G, Hardman T, Zeyfang A, Pedraza L, Carnicero JA, Rodriguez-Mañas L, Sinclair AJ. Long-term frailty and physical performance transitions in older people with type-2 diabetes. The MIDFRAIL randomized clinical study. J Nutr Health Aging 2025; 29:100512. [PMID: 39954533 DOI: 10.1016/j.jnha.2025.100512] [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: 01/09/2025] [Revised: 02/05/2025] [Accepted: 02/10/2025] [Indexed: 02/17/2025]
Abstract
AIMS Type 2 diabetes (T2D) is associated with frailty in older people. We aim to explore changes in frailty status after ≥18 months of intervention. METHODS 298 community-dwelling older adults (>70 years) participating in MIDFRAIL followed-up for 18-24 months were randomly allocated by trial site (cluster) to intervention IG (16-weeks resistance exercise program, nutritional-educational sessions, optimization of diabetes care), or usual care group (UCG). Frailty status was assessed by the Fried Frailty Phenotype criteria at baseline and final visit. Functional status was assessed by the SPPB in every visit. We used multivariate linear and logistic regression for continuous and dichotomous outcomes. This study was registered at Clinicaltrials.gov (NCT01654341). RESULTS Mean age was 77.7 (SD 5.54), 47% were male, 32.9% frail and 67.1% prefrail. The probability of improving the frailty status and decreasing the number of Fried's frailty criteria was higher in the IG than in the UCG (OR 2.6, 95%CI 1.3-5.4; p = 0.009 and OR 1.9; 95%CI 1.1-3.1; p = 0.02, respectively). IG participants more frequently improved ≥1 point in SPPB score (OR 1.85; 95%CI 1.09-3.12; p = 0.022). These benefits were mainly accounted for the prefrail participants. CONCLUSIONS The MIDFRAIL intervention improved frailty status and physical function at long-term follow-up in older people with T2D.
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Affiliation(s)
- Olga Laosa
- Foundation for Biomedical Research-University Hospital of Getafe, Madrid, Spain; Biomedical Research Center Network for Frailty and Healthy Ageing (CIBERFES), Institute of Health Carlos III, Madrid, Spain
| | - Eva Topinkova
- First Faculty of Medicine, Charles University, Prague, Czech Republic
| | | | - Bruno Vellas
- Centre Hospitalier Universitaire de Toulouse, Toulouse, France
| | - Mikel Izquierdo
- IdiSNA, Navarra Institute for Health Research, Public University of Navarra, Pamplona, Spain
| | | | | | | | - Laura Pedraza
- Foundation for Biomedical Research-University Hospital of Getafe, Madrid, Spain
| | - Jose A Carnicero
- Foundation for Biomedical Research-University Hospital of Getafe, Madrid, Spain
| | - Leocadio Rodriguez-Mañas
- Biomedical Research Center Network for Frailty and Healthy Ageing (CIBERFES), Institute of Health Carlos III, Madrid, Spain; Department of Geriatrics, University Hospital of Getafe, Madrid, Spain.
| | - Alan J Sinclair
- Foundation for Diabetes Research in Older People (fDROP), and Florence Nightingale Faculty of Nursing, Midwifery and Palliative Care, King's College, London, United Kingdom
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Pradana AA, Bai D, Hidayat AT, Lin CJ, Lee SC. Cost of illness analysis of frailty for older adults: a systematic review and meta-analysis. Eur Geriatr Med 2025; 16:149-162. [PMID: 39661256 DOI: 10.1007/s41999-024-01123-6] [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: 08/01/2024] [Accepted: 11/21/2024] [Indexed: 12/12/2024]
Abstract
PURPOSE The increasing burden of out-of-pocket expenses borne by older adults with frailty can be a considerable challenge in efforts toward improving societal health. This study estimated the cost of frailty for older adults by employing cost of illness theory. METHODS Five electronic databases were searched (without any language or year restriction) for relevant articles from their inception to April 2024. Studies investigating the cost of frailty and prefrailty for older adults (aged ≥ 60 years) were included. RESULTS A total of 51 studies were included. The findings revealed that frailty significantly increased mean total costs by US$3286 and US$4653 compared with the costs for individuals with prefrailty and robustness, respectively. The cost difference between the prefrailty and robust groups was US$2729. The increases in indirect costs did not significantly differ between the prefrailty and robust groups or between the frailty and robust groups. The total cost by setting was significantly increased in the frailty group relative to the prefrailty and robust groups. The results stratified by continent or region revealed that only the frailty and prefrailty groups in North America experienced significant increases in total costs relative to the robust group. However, in the Asia-Pacific region and Europe, no significant results were noted. CONCLUSIONS This is the first meta-analysis to employ cost of illness theory to investigate the cost of frailty. Our findings can help providers of health-care services and professional workers develop effective and comprehensive intervention plans and services that can be provided for older adults with frailty.
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Affiliation(s)
- Anung Ahadi Pradana
- International PhD Program in Gerontology and Long-Term Care, College of Nursing, Taipei Medical University, Taipei, Taiwan
- STIKes Mitra Keluarga, Bekasi, Indonesia
| | - Dorothy Bai
- School of Gerontology and Long-Term Care, College of Nursing, Taipei Medical University, Taipei, Taiwan
| | - Aris Teguh Hidayat
- Sekolah Tinggi Ilmu Kesehatan Hesti Wira Sriwijaya, Palembang, Indonesia
| | - 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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Schousboe JT, Langsetmo L, Kats AM, Taylor BC, Boyd C, Van Riper D, Kado DM, Duan-Porter W, Cawthon PM, Ensrud KE. Neighborhood Socioeconomic Deprivation and Health Care Costs in Older Community-Dwelling Adults: Importance of Functional Impairment and Frailty. J Gen Intern Med 2024; 39:3009-3017. [PMID: 38937364 PMCID: PMC11576700 DOI: 10.1007/s11606-024-08875-8] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/24/2024] [Accepted: 06/11/2024] [Indexed: 06/29/2024]
Abstract
BACKGROUND Low neighborhood socioeconomic status is associated with adverse health outcomes, but its association with health care costs in older adults is uncertain. OBJECTIVES To estimate the association of neighborhood Area Deprivation Index (ADI) with total, inpatient, outpatient, skilled nursing facility (SNF), and home health care (HHC) costs among older community-dwelling Medicare beneficiaries, and determine whether these associations are explained by multimorbidity, phenotypic frailty, or functional impairments. DESIGN Four prospective cohort studies linked with each other and with Medicare claims. PARTICIPANTS In total, 8165 community-dwelling fee-for-service beneficiaries (mean age 79.2 years, 52.9% female). MAIN MEASURES ADI of participant residence census tract, Hierarchical Conditions Category multimorbidity score, self-reported functional impairments (difficulty performing four activities of daily living), and frailty phenotype. Total, inpatient, outpatient, post-acute SNF, and HHC costs (US 2020 dollars) for 36 months after the index examination. KEY RESULTS Mean incremental annualized total health care costs adjusted for age, race/ethnicity, and sex increased with ADI ($3317 [95% CI 1274 to 5360] for the most deprived vs least deprived ADI quintile, and overall p-value for ADI variable 0.009). The incremental cost for the most deprived vs least deprived ADI quintile was increasingly attenuated after separate adjustment for multimorbidity ($2407 [95% CI 416 to 4398], overall ADI p-value 0.066), frailty phenotype ($1962 [95% CI 11 to 3913], overall ADI p-value 0.22), or functional impairments ($1246 [95% CI -706 to 3198], overall ADI p-value 0.29). CONCLUSIONS Total health care costs are higher for older community-dwelling Medicare beneficiaries residing in the most socioeconomically deprived areas compared to the least deprived areas. This association was not significant after accounting for the higher prevalence of phenotypic frailty and functional impairments among residents of socioeconomically deprived neighborhoods.
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Affiliation(s)
- John T Schousboe
- HealthPartners Institute, Bloomington, MN, USA.
- Divison of Health Policy & Management, School of Public Health, University of Minnesota, Minneapolis, MN, USA.
| | - Lisa Langsetmo
- Department of Medicine, University of Minnesota, Minneapolis, MN, USA
- Division of Epidemiology & Community Health, School of Public Health, University of Minnesota, Minneapolis, MN, USA
- Center for Care Delivery & Outcomes Research, VA Health Care System, Minneapolis, MN, USA
| | - Allyson M Kats
- Division of Epidemiology & Community Health, School of Public Health, University of Minnesota, Minneapolis, MN, USA
| | - Brent C Taylor
- Department of Medicine, University of Minnesota, Minneapolis, MN, USA
- Division of Epidemiology & Community Health, School of Public Health, University of Minnesota, Minneapolis, MN, USA
- Center for Care Delivery & Outcomes Research, VA Health Care System, Minneapolis, MN, USA
| | - Cynthia Boyd
- School of Medicine, Johns Hopkins University, Baltimore, MD, USA
- Department of Health Policy & Management, Johns Hopkins University, Baltimore, MD, USA
- Department of Epidemiology, Johns Hopkins University, Baltimore, MD, USA
| | - David Van Riper
- Minnesota Population Center, University of Minnesota, Minneapolis, MN, USA
| | - Deborah M Kado
- Department of Medicine, Stanford University, Palo Alto, CA, USA
- Geriatric Research Education and Clinical Center (GRECC), VA Health Care System, Palo Alto, CA, USA
| | - Wei Duan-Porter
- Department of Medicine, University of Minnesota, Minneapolis, MN, USA
- Division of Epidemiology & Community Health, School of Public Health, University of Minnesota, Minneapolis, MN, USA
- Center for Care Delivery & Outcomes Research, VA Health Care System, Minneapolis, MN, USA
| | - Peggy M Cawthon
- California Pacific Medical Center Research Institute, San Francisco, CA, USA
| | - Kristine E Ensrud
- Department of Medicine, University of Minnesota, Minneapolis, MN, USA
- Division of Epidemiology & Community Health, School of Public Health, University of Minnesota, Minneapolis, MN, USA
- Center for Care Delivery & Outcomes Research, VA Health Care System, Minneapolis, MN, USA
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Ensrud KE, Schousboe JT, Kats AM, Taylor BC, Duan-Porter W, Sheets KM, Boyd CM, Cawthon PM, Langsetmo L. Functional Impairments, Phenotypic Frailty, and Sector-Specific Incremental Healthcare Costs in Older Adults. J Gerontol A Biol Sci Med Sci 2024; 79:glae245. [PMID: 39383116 PMCID: PMC11543992 DOI: 10.1093/gerona/glae245] [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: 06/21/2024] [Indexed: 10/11/2024] Open
Abstract
BACKGROUND This study quantifies incremental healthcare expenditures of functional impairments and phenotypic frailty in specific healthcare sectors. METHODS Pooled 2023 analysis of 4 prospective cohort studies linked with Medicare claims including 4 318 women and 3 847 men attending an index examination (2002-2011). Annualized inpatient, skilled nursing facility (SNF), home healthcare (HHC), and outpatient costs (2023 dollars) ascertained for 36 months following index examination. Functional impairments (difficulty performing 4 activities of daily living) and frailty phenotype (operationalized using 5 components) derived from cohort data. Weighted multimorbidity index including demographics derived from claims. RESULTS Mean age at index examination was 79.2 years. After accounting for multimorbidity and each other, average annualized incremental costs of 3-4 functional impairments versus no impairment in women (men) were $2 838 ($5 516) in inpatient, $1 572 ($1 446) in SNF, and $1 349 ($1 060) in HHC sectors; average incremental costs of phenotypic frailty versus robust in women (men) was $4 100 (not significant for men) in inpatient, $1 579 ($1 254) in SNF, and $645 ($526) in HHC sectors. Incremental inpatient costs were primarily due to a higher hospitalization risk, while incremental SNF and HHC costs were related to both increased risks of utilization and higher costs among individuals with utilization. Neither geriatric domain was associated with outpatient costs. CONCLUSIONS In this study of community-dwelling beneficiaries, functional impairments were independently associated with higher subsequent expenditures in inpatient, SNF, and HHC sectors among both sexes. Phenotypic frailty was independently associated with higher subsequent inpatient costs in women, and higher SNF and HHC costs in both sexes.
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Affiliation(s)
- Kristine E Ensrud
- Division of Epidemiology & Community Health, School of Public Health, University of Minnesota, Minneapolis, Minnesota, USA
- Department of Medicine, University of Minnesota, Minneapolis, Minnesota, USA
| | - John T Schousboe
- HealthPartners Institute, Rheumatology, Bloomington, Minnesota, USA
- Divison of Health Policy & Management, School of Public Health, University of Minnesota, Minneapolis, Minnesota, USA
| | - Allyson M Kats
- Division of Epidemiology & Community Health, School of Public Health, University of Minnesota, Minneapolis, Minnesota, USA
| | - Brent C Taylor
- Department of Medicine, University of Minnesota, Minneapolis, Minnesota, USA
- Center for Care Delivery & Outcomes Research, VA Health Care System, Minneapolis, Minnesota, USA
| | - Wei Duan-Porter
- Department of Medicine, University of Minnesota, Minneapolis, Minnesota, USA
- Center for Care Delivery & Outcomes Research, VA Health Care System, Minneapolis, Minnesota, USA
| | - Kerry M Sheets
- Department of Medicine, University of Minnesota, Minneapolis, Minnesota, USA
- Department of Medicine, Hennepin Healthcare, Minneapolis, Minnesota, USA
| | - Cynthia M Boyd
- Departments of Medicine, Health Policy & Management, and Epidemiology, Johns Hopkins University, Baltimore, Maryland, USA
| | - Peggy M Cawthon
- California Pacific Medical Center Research Institute, San Francisco, California, USA
| | - Lisa Langsetmo
- Department of Medicine, University of Minnesota, Minneapolis, Minnesota, USA
- HealthPartners Institute, Rheumatology, Bloomington, Minnesota, USA
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Xu X, Ouyang J, Yan J, Lu Y, Harypursat V, Wu H, Chen Y. Intestinal barrier damage contributes to a higher prevalence of frailty in aging people living with HIV: a retrospective case control study in a Chinese cohort. Front Immunol 2024; 15:1480083. [PMID: 39524438 PMCID: PMC11543446 DOI: 10.3389/fimmu.2024.1480083] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/13/2024] [Accepted: 10/10/2024] [Indexed: 11/16/2024] Open
Abstract
Background It has been previously demonstrated that intestinal barrier damage is one of the underlying mechanisms leading to frailty in non-HIV-infected aging populations. However, there is a paucity of direct evidence which demonstrates the association between intestinal barrier damage and frailty in people living with HIV (PLWH). Methods The present study is a retrospective case control study. Participants older than 50 years old were stratified into a frail/pre-frail group (case group) and non-frail group (control group) according to the Fried frailty phenotype. We collected and curated data concerning socio-demographic variables, psychological states and social functioning, and clinical information associated with the identification of biomarkers of intestinal barrier damage, microbial translocation, and levels of inflammatory cytokines of participants. Results The case group had significantly higher levels of Reg-3α (p=0.042) and I-FABP (p=0.045) compared to the control group. We further observed, after adjusting for confounding factors by logistic regression analysis, that I-FABP levels remained significantly higher in the case group compared to the control group (p=0.033). Also, Fried Phenotype scores positively correlated with I-FABP levels (rs=0.21, p=0.01), LPS levels (rs=0.20, p=0.02), and sCD14 levels (rs=0.18, p=0.04). Moreover, the study confirmed both the positive correlation between inflammatory cytokines (IL-6 and IP-10) with frailty in aging PLWH, and between inflammatory cytokines (IL-6, IL-8 and IP-10) with biomarkers of intestinal barrier dysfunction in older PLWH. Conclusion The present study indicates that the inflammation induced by intestinal barrier damage/dysfunction is likely to contribute to frailty in aging PLWH.
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Affiliation(s)
- Xiaolei Xu
- Beijing Key Laboratory for HIV/AIDS Research, Clinical Research Center for Infectious Diseases, Beijing Youan Hospital, Capital Medical University, Beijing, China
- Department of Infectious Diseases, Chongqing Public Health Medical Center, Chongqing, China
| | - Jing Ouyang
- Department of Infectious Diseases, Chongqing Public Health Medical Center, Chongqing, China
| | - Jiangyu Yan
- Department of Infectious Diseases, Chongqing Public Health Medical Center, Chongqing, China
| | - Yanqiu Lu
- Department of Infectious Diseases, Chongqing Public Health Medical Center, Chongqing, China
| | - Vijay Harypursat
- Department of Infectious Diseases, Chongqing Public Health Medical Center, Chongqing, China
| | - Hao Wu
- Beijing Key Laboratory for HIV/AIDS Research, Clinical Research Center for Infectious Diseases, Beijing Youan Hospital, Capital Medical University, Beijing, China
| | - Yaokai Chen
- Department of Infectious Diseases, Chongqing Public Health Medical Center, Chongqing, China
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Guo X, Su W, Wang X, Hu W, Meng J, Ahmed MA, Qu G, Sun Y. Assessing the effects of air pollution and residential greenness on frailty in older adults: a prospective cohort study from China. ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH INTERNATIONAL 2024; 31:9091-9105. [PMID: 38183550 DOI: 10.1007/s11356-023-31741-9] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 08/08/2023] [Accepted: 12/22/2023] [Indexed: 01/08/2024]
Abstract
Many studies have established a correlation between air pollution and green space with age-related diseases, yet the relationship between air pollution, green space, and frailty among older adults is not fully understood. The primary objective of this investigation is to examine the longitudinal association among air pollution, green space, and frailty in older adults, as well as the potential interaction and mediating effect. Analyzed data were obtained from the multi-wave CLHLS investigation (2008-2018). The participants' environmental exposure was evaluated using six air pollutants (PM1, PM2.5, PM10, PM10-2.5, O3, and NO2), and normalized difference vegetation index (NDVI). Annual ambient air pollutants were estimated using satellite-based spatiotemporal models. Time-varying Cox proportional risk models were employed to investigate the longitudinal relationships between air pollutants, greenness, and the onset of frailty in the elderly population. We conducted a variety of subgroup analyses, sensitivity analyses, and assessed potential interaction and causal mediating effects. A total of 6953 eligible elderly individuals were enrolled in our study. In the fully adjusted model, per IQR uptick in levels of PM1, PM2.5, PM10, PM10-2.5, O3, and NO2 corresponded to a 17% (95% CI 1.10-1.24), 25% (95% CI 1.17-1.34), 29% (95% CI 1.20-1.39), 35% (95% CI 1.24-1.47), 12% (95% CI 1.04-1.20), and 11% (95% CI 1.05-1.18) increase in frailty risk, respectively. For NDVI, increased IQR was significantly negatively associated with the risk of frailty (aHR 0.82, 95% CI 0.77-0.87). Our results revealed a significant interaction effect among O3, NO2, and residential greenness. PM1, PM2.5, PM10, and PM10-2.5 play a mediating role in the estimated relationship between residential greenness and frailty. In summary, our study reveals that PM1, PM2.5, PM10, PM10-2.5, O3, and NO2 correspond to elevated risks of frailty in the elderly. Residential greenness is associated with a lower risk of frailty in the elderly. Residential greenness can exert a positive impact on frailty by reducing particulate matter concentrations.
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Affiliation(s)
- Xianwei Guo
- Department of Epidemiology and Biostatistics, School of Public Health, Anhui Medical University, No. 81 Meishan Road, Hefei, 230032, Anhui, China
| | - Wenqi Su
- Department of Epidemiology and Biostatistics, School of Public Health, Anhui Medical University, No. 81 Meishan Road, Hefei, 230032, Anhui, China
| | - Xingyue Wang
- Department of Epidemiology and Biostatistics, School of Public Health, Anhui Medical University, No. 81 Meishan Road, Hefei, 230032, Anhui, China
| | - Wenjing Hu
- Department of Epidemiology and Biostatistics, School of Public Health, Anhui Medical University, No. 81 Meishan Road, Hefei, 230032, Anhui, China
| | - Jia Meng
- Department of Epidemiology and Biostatistics, School of Public Health, Anhui Medical University, No. 81 Meishan Road, Hefei, 230032, Anhui, China
| | - Mubashir Ayaz Ahmed
- Division of Pulmonary Critical Care and Sleep Medicine, Albert Einstein Medical Center, Philadelphia, PA, USA
| | - Guangbo Qu
- Department of Epidemiology and Biostatistics, School of Public Health, Anhui Medical University, No. 81 Meishan Road, Hefei, 230032, Anhui, China
| | - Yehuan Sun
- Department of Epidemiology and Biostatistics, School of Public Health, Anhui Medical University, No. 81 Meishan Road, Hefei, 230032, Anhui, China.
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Fogg C, England T, Zhu S, Jones J, de Lusignan S, Fraser SDS, Roderick P, Clegg A, Harris S, Brailsford S, Barkham A, Patel HP, Walsh B. Primary and secondary care service use and costs associated with frailty in an ageing population: longitudinal analysis of an English primary care cohort of adults aged 50 and over, 2006-2017. Age Ageing 2024; 53:afae010. [PMID: 38337044 PMCID: PMC10857897 DOI: 10.1093/ageing/afae010] [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: 09/07/2023] [Revised: 11/23/2023] [Indexed: 02/12/2024] Open
Abstract
BACKGROUND Frailty becomes more prevalent and healthcare needs increase with age. Information on the impact of frailty on population level use of health services and associated costs is needed to plan for ageing populations. AIM To describe primary and secondary care service use and associated costs by electronic Frailty Index (eFI) category. DESIGN AND SETTING Retrospective cohort using electronic health records. Participants aged ≥50 registered in primary care practices contributing to the Oxford Royal College of General Practitioners Research and Surveillance Centre, 2006-2017. METHODS Primary and secondary care use (totals and means) were stratified by eFI category and age group. Standardised 2017 costs were used to calculate primary, secondary and overall costs. Generalised linear models explored associations between frailty, sociodemographic characteristics. Adjusted mean costs and cost ratios were produced. RESULTS Individual mean annual use of primary and secondary care services increased with increasing frailty severity. Overall cohort care costs for were highest in mild frailty in all 12 years, followed by moderate and severe, although the proportion of the population with severe frailty can be expected to increase over time. After adjusting for sociodemographic factors, compared to the fit category, individual annual costs doubled in mild frailty, tripled in moderate and quadrupled in severe. CONCLUSIONS Increasing levels of frailty are associated with an additional burden of individual service use. However, individuals with mild and moderate frailty contribute to higher overall costs. Earlier intervention may have the most potential to reduce service use and costs at population level.
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Affiliation(s)
- Carole Fogg
- School of Health Sciences, Faculty of Environmental and Life Sciences, University of Southampton, Southampton, UK
| | - Tracey England
- School of Health Sciences, Faculty of Environmental and Life Sciences, University of Southampton, Southampton, UK
| | - Shihua Zhu
- School of Primary Care, Population Sciences, and Medical Education, Faculty of Medicine, University of Southampton, Southampton, UK
| | - Jeremy Jones
- School of Health Sciences, Faculty of Environmental and Life Sciences, University of Southampton, Southampton, UK
| | - Simon de Lusignan
- Nuffield Department of Primary Care Health Sciences, University of Oxford, Oxford, UK
| | - Simon D S Fraser
- School of Primary Care, Population Sciences, and Medical Education, Faculty of Medicine, University of Southampton, Southampton, UK
| | - Paul Roderick
- School of Primary Care, Population Sciences, and Medical Education, Faculty of Medicine, University of Southampton, Southampton, UK
| | - Andy Clegg
- Academic Unit for Ageing & Stroke Research, University of Leeds, Bradford Teaching Hospitals NHS Foundation Trust, Bradford, UK
| | - Scott Harris
- School of Primary Care, Population Sciences, and Medical Education, Faculty of Medicine, University of Southampton, Southampton, UK
| | - Sally Brailsford
- Southampton Business School, University of Southampton, Southampton, UK
| | - Abigail Barkham
- Southern Health NHS Foundation Trust, Unit 1 Wessex Way, Colden Common, Winchester SO21 1WP, UK
| | - Harnish P Patel
- University Hospitals Southampton NHS Foundation Trust, Southampton General Hospital, Southampton, UK
- NIHR Southampton Biomedical Research Centre, Southampton Centre for Biomedical Research, Southampton, UK
| | - Bronagh Walsh
- School of Health Sciences, Faculty of Environmental and Life Sciences, University of Southampton, Southampton, UK
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Smulowitz PB, Weinreb G, McWilliams JM, O’Malley AJ, Landon BE. Association of Functional Status, Cognition, Social Support, and Geriatric Syndrome With Admission From the Emergency Department. JAMA Intern Med 2023; 183:784-792. [PMID: 37307004 PMCID: PMC10262058 DOI: 10.1001/jamainternmed.2023.2149] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/21/2022] [Accepted: 04/13/2023] [Indexed: 06/13/2023]
Abstract
Importance The role of patient-level factors that are unrelated to the specific clinical condition leading to an emergency department (ED) visit, such as functional status, cognitive status, social supports, and geriatric syndromes, in admission decisions is not well understood, partly because these data are not available in administrative databases. Objective To determine the extent to which patient-level factors are associated with rates of hospital admission from the ED. Design, Setting, and Participants This cohort study analyzed survey data collected from participants (or their proxies, such as family members) enrolled in the Health and Retirement Study (HRS) from January 1, 2000, to December 31, 2018. These HRS data were linked to Medicare fee-for-service claims data from January 1, 1999, to December 31, 2018. Information on functional status, cognitive status, social supports, and geriatric syndromes was obtained from the HRS data, whereas ED visits, subsequent hospital admission or ED discharge, and other claims-derived comorbidities and sociodemographic characteristics were obtained from Medicare data. Data were analyzed from September 2021 to April 2023. Main Outcomes and Measures The primary outcome measure was hospital admission after an ED visit. A baseline logistic regression model was estimated, with a binary indicator of admission as the dependent variable of interest. For each primary variable of interest derived from the HRS data, the model was reestimated, including the HRS variable of interest as an independent variable. For each of these models, the odds ratio (OR) and average marginal effect (AME) of changing the value of the variable of interest were calculated. Results A total of 42 392 ED visits by 11 783 unique patients were included. At the time of the ED visit, patients had a mean (SD) age of 77.4 (9.6) years, and visits were predominantly for female (25 719 visits [60.7%]) and White (32 148 visits [75.8%]) individuals. The overall percentage of patients admitted was 42.5%. After controlling for ED diagnosis and demographic characteristics, functional status, cognition status, and social supports all were associated with the likelihood of admission. For instance, difficulty performing 5 activities of daily living was associated with an 8.5-percentage point (OR, 1.47; 95% CI, 1.29-1.66) AME increase in the likelihood of admission. Having dementia was associated with an AME increase in the likelihood of admission of 4.6 percentage points (OR, 1.23; 95% CI, 1.14-1.33). Living with a spouse was associated with an AME decrease in the likelihood of admission of 3.9 percentage points (OR, 0.84; 95% CI, 0.79-0.89), and having children living within 10 miles was associated with an AME decrease in the likelihood of admission of 5.0 percentage points (OR, 0.80; 95% CI, 0.71-0.89). Other common geriatric syndromes, including trouble falling asleep, waking early, trouble with vision, glaucoma or cataract, use of hearing aids or trouble with hearing, falls in past 2 years, incontinence, depression, and polypharmacy, were not meaningfully associated with the likelihood of admission. Conclusion and Relevance Results of this cohort study suggest that the key patient-level characteristics, including social supports, cognitive status, and functional status, were associated with the decision to admit older patients to the hospital from the ED. These factors are critical to consider when devising strategies to reduce low-value admissions among older adult patients from the ED.
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Affiliation(s)
| | - Gabe Weinreb
- Department of Health Care Policy, Harvard Medical School, Boston, Massachusetts
| | | | - A. James O’Malley
- Department of Biomedical Data Science, The Dartmouth Institute for Health Policy and Clinical Practice, Geisel School of Medicine at Dartmouth, Lebanon, New Hampshire
| | - Bruce E. Landon
- Department of Health Care Policy, Harvard Medical School, Boston, Massachusetts
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Affiliation(s)
- Julie P W Bynum
- Department of Internal Medicine, University of Michigan Medical School, Ann Arbor, Michigan
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