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Cross AJ, Villani ER, Jadczak AD, Pitkälä K, Hamada S, Zhao M, Gutiérrez-Valencia M, Aalto U, Dowd LA, Li L, Liau SJ, Liperoti R, Martínez-Velilla N, Ooi CE, Onder G, Petrie K, Roitto HM, Roncal-Belzunce V, Saarela R, Sakata N, Visvanathan R, Zhang TG, Bell JS. Prevalence of strong anticholinergic use in residents with and without cognitive impairment and frailty: Analysis from 106 nursing homes in 12 Asia-Pacific and European countries. Arch Gerontol Geriatr 2025; 128:105636. [PMID: 39303422 DOI: 10.1016/j.archger.2024.105636] [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: 06/18/2024] [Revised: 08/29/2024] [Accepted: 09/10/2024] [Indexed: 09/22/2024]
Abstract
PURPOSE There is a need to balance the benefits and risks associated with strong anticholinergic medications in older adults, particularly among those with frailty and cognitive impairment. This study explored the international prevalence of strong anticholinergic medication use in residents of nursing homes with and without cognitive impairment and frailty. METHODS Secondary, cross-sectional analyses of data from 5,800 residents of 106 nursing homes in Australia, China, Czech Republic, England, Finland, France, Germany, Israel, Italy, Japan, Netherlands, and Spain were conducted. Strong anticholinergic medications were defined as medications with a score of 2 or 3 on the Anticholinergic Cognitive Burden scale. Dementia or cognitive impairment was defined as a documented diagnosis or using a validated scale. Frailty was defined using the FRAIL-NH scale as 0-2 (non-frail), 3-6 (frail) and 7-14 (most-frail). Data were analyzed using descriptive statistics. RESULTS Overall, 17.4 % (n = 1010) residents used ≥1 strong anticholinergic medication, ranging from 1.3 % (n = 2) in China to 27.1 % (n = 147) in Italy. The most prevalent strong anticholinergics were quetiapine (n = 290, 5.0 % of all residents), olanzapine (132, 2.3 %), carbamazepine (102, 1.8 %), paroxetine (88, 1.5 %) and amitriptyline (87, 1.5 %). Prevalence was higher among residents with cognitive impairment (n = 602, 17.9 %) compared to those without (n = 408, 16.8 %), and among residents who were most frail (n = 553, 17.9 %) compared to those who were frail (n = 286, 16.5 %) or non-frail (n = 171, 17.5 %). CONCLUSIONS One in six residents who were most frail and living with cognitive impairment used a strong anticholinergic. However, there was a 20-fold variation in prevalence across the 12 countries. Targeted deprescribing interventions may reduce potentially avoidable medication-harm.
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Affiliation(s)
- Amanda J Cross
- Centre for Medicine Use and Safety, Faculty of Pharmacy and Pharmaceutical Sciences, Monash University, Parkville, Victoria, Australia.
| | - Emanuele R Villani
- Department of Geriatrics and Orthopedics, Università Cattolica del Sacro Cuore, 00168 Rome, Italy; UOC Geriatria, Disturbi Cognitivi e Demenze, Dipartimento di Cure Primarie, AUSL Modena, 41121 Modena, Italy
| | - Agathe D Jadczak
- Adelaide Geriatrics Training and Research with Aged Care (GTRAC) Centre, Adelaide Medical School, Faculty of Health and Medical Sciences, University of Adelaide, Adelaide, South Australia, Australia; The Basil Hetzel Institute, The Queen Elizabeth Hospital, Central Adelaide Local Health Network, Adelaide, South Australia, Australia
| | - Kaisu Pitkälä
- Department of General Practice, University of Helsinki Unit of Primary Health Care, Helsinki University Hospital, Helsinki, Finland
| | - Shota Hamada
- Research Department, Institute for Health Economics and Policy, Association for Health Economics Research and Social Insurance and Welfare, Tokyo, Japan; Department of Health Services Research, Institute of Medicine, University of Tsukuba, Tsukuba, Japan; Department of Home Care Medicine, Graduate School of Medicine, The University of Tokyo, Tokyo, Japan
| | - Meng Zhao
- School of Nursing and Rehabilitation, Cheeloo College of Medicine, Shandong University, Jinan, China
| | - Marta Gutiérrez-Valencia
- Unit of Innovation and Organization, Navarre Health Service, Pamplona, Navarre, Spain; Navarre Institute for Health Research (IdiSNA), Pamplona, Navarre, Spain
| | - Ulla Aalto
- Department of Geriatrics, University of Helsinki and Helsinki University Hospital, Helsinki, Finland
| | - Laura A Dowd
- Centre for Medicine Use and Safety, Faculty of Pharmacy and Pharmaceutical Sciences, Monash University, Parkville, Victoria, Australia
| | - Li Li
- School of Nursing and Rehabilitation, Cheeloo College of Medicine, Shandong University, Jinan, China
| | - Shin J Liau
- Centre for Medicine Use and Safety, Faculty of Pharmacy and Pharmaceutical Sciences, Monash University, Parkville, Victoria, Australia
| | - Rosa Liperoti
- Department of Geriatrics and Orthopedics, Università Cattolica del Sacro Cuore, 00168 Rome, Italy; Fondazione Policlinico Universitario A. Gemelli IRCCS, 00168 Rome, Italy
| | - Nicolás Martínez-Velilla
- Navarrabiomed, Hospital Universitario de Navarra (HUN), Universidad Pública de Navarra (UPNA), IdiSNA, Pamplona, Spain
| | - Choon Ean Ooi
- Centre for Medicine Use and Safety, Faculty of Pharmacy and Pharmaceutical Sciences, Monash University, Parkville, Victoria, Australia
| | - Graziano Onder
- Department of Geriatrics and Orthopedics, Università Cattolica del Sacro Cuore, 00168 Rome, Italy; Fondazione Policlinico Universitario A. Gemelli IRCCS, 00168 Rome, Italy
| | - Kate Petrie
- Centre for Medicine Use and Safety, Faculty of Pharmacy and Pharmaceutical Sciences, Monash University, Parkville, Victoria, Australia
| | - Hanna M Roitto
- Department of Geriatrics, University of Helsinki and Helsinki University Hospital, Helsinki, Finland
| | - Victoria Roncal-Belzunce
- Navarre Institute for Health Research (IdiSNA), Pamplona, Navarre, Spain; Universidad Pública de Navarra (UPNA), IdiSNA, Pamplona, Spain
| | - Riitta Saarela
- Social Services, Health Care and Rescue Services Division, City of Helsinki, Finland
| | - Nobuo Sakata
- Department of Health Services Research, Institute of Medicine, University of Tsukuba, Tsukuba, Japan; Heisei Medical Welfare Group Research Institute, Tokyo, Japan
| | - Renuka Visvanathan
- Adelaide Geriatrics Training and Research with Aged Care (GTRAC) Centre, Adelaide Medical School, Faculty of Health and Medical Sciences, University of Adelaide, Adelaide, South Australia, Australia; Aged and Extended Care Services, The Queen Elizabeth Hospital, Central Adelaide Local Health Network, Adelaide, South Australia, Australia
| | - Tiange G Zhang
- School of Nursing and Rehabilitation, Cheeloo College of Medicine, Shandong University, Jinan, China
| | - J Simon Bell
- Centre for Medicine Use and Safety, Faculty of Pharmacy and Pharmaceutical Sciences, Monash University, Parkville, Victoria, Australia
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Wyman‐Chick KA, Barrett MJ, Miller MJ, Sargent L, Chrenka EAB, Kane JPM, Crowley SJ, Kuntz JL, Parashos SA, Schousboe JT, Nguyen H, Werner AM, Rossom RC. The relationship between anticholinergic burden and frailty in the year preceding a diagnosis of dementia with Lewy bodies. ALZHEIMER'S & DEMENTIA (AMSTERDAM, NETHERLANDS) 2024; 16:e70034. [PMID: 39677584 PMCID: PMC11645712 DOI: 10.1002/dad2.70034] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 05/13/2024] [Revised: 08/21/2024] [Accepted: 10/08/2024] [Indexed: 12/17/2024]
Abstract
INTRODUCTION Little is known regarding the relationship between anticholinergic medications and frailty in dementia with Lewy bodies (DLB). METHODS Anticholinergic Cognitive Burden Scale (ACB) and Claims-based Frailty Index scores were calculated for 12 months prior to the dementia diagnosis using electronic medical record and claims data. Logistic regression was used to estimate the association between ACB and odds of frailty. RESULTS Compared to controls (n = 525), a diagnosis of DLB (n = 175; adjusted odds ratio [aOR]: 15.1, 95% confidence interval [CI]: 7.0-33.9) or Alzheimer's disease (AD: n = 525; aOR = 7.7, 95% CI: 4.4-13.7) was associated with an increased odds of frailty. Patients with DLB had greater prescriptions for anticholinergic medications than patients with AD (p B < 0.001; 23% vs 9.7%). ACB was positively correlated with frailty for all groups (r = 0.30 to 0.47, p < 0.001). DISCUSSION Cumulative anticholinergic burden may be a modifiable predictor of frailty among older adults, including those newly diagnosed with dementia. Highlights Patients with newly diagnosed dementia with Lewy bodies (DLB) are more likely to have prescriptions for anticholinergic medications relative to patients newly diagnosed with Alzheimer's disease (AD) and older adults without documented cognitive impairment.In the year prior to a documented dementia diagnosis, 74% of patients with DLB and 66% of patients with AD had evidence of frailty.Anticholinergic medication burden was associated with frailty among all older adults in the study, including those without a dementia diagnosis.
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Affiliation(s)
- Kathryn A. Wyman‐Chick
- HealthPartners InstituteBloomingtonMinnesotaUSA
- Struthers Parkinson's CenterGolden ValleyMinnesotaUSA
| | | | | | - Lana Sargent
- Virginia Commonwealth UniversityRichmondVirginiaUSA
| | | | - Joseph P. M. Kane
- Center for Public Health, Institute of Clinical Sciences Belfast B, Royal Victoria Hospital, Queens University BelfastBelfastNorthern Ireland
| | | | | | - Sotirios A. Parashos
- HealthPartners InstituteBloomingtonMinnesotaUSA
- Struthers Parkinson's CenterGolden ValleyMinnesotaUSA
| | | | - Huong Nguyen
- Department of Research and EvaluationKaiser Permanente Southern CaliforniaPasadenaCaliforniaUSA
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Cox LS, Naunton M, Peterson GM, Bagheri N, Bennetts JP, Koerner J, Davey R, Kosari S. The rate, causes and predictors of ambulance call outs to residential aged care in the Australian Capital Territory: A retrospective observational cohort study. PLoS One 2024; 19:e0311019. [PMID: 39348345 PMCID: PMC11441681 DOI: 10.1371/journal.pone.0311019] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/11/2024] [Accepted: 09/09/2024] [Indexed: 10/02/2024] Open
Abstract
Older people in residential aged care are susceptible to acute illness or injury which may necessitate an ambulance call out, assessment/treatment by a paramedic and transfer to a hospital emergency department. Understanding the case mix of residential aged care ambulance attendances is important for prevention strategies and for planning services. A retrospective observational closed cohort study was designed to investigate the characteristics of emergency ambulance call outs to 15 residential aged care sites in the Australian Capital Territory over a 12-month period. Data were collected from the local ambulance service and the aged care sites. Case load data were analysed to determine rates, clinical characteristics, ambulance attendance outcomes and the temporal distribution of call outs. A Poisson regression model was developed to investigate demographic, morbidity and medication-related risk factors associated with the number of ambulance call outs per resident. Annual ambulance call out costs were estimated. There were 1,275 residents, with 396 (31.1%) requiring at least one ambulance call out over 12 months. Of 669 ambulance attendances, the majority (87.0%) were transported to emergency departments. Trauma (23.9%), pain (16.9%) and infections (9.4%) were the most common primary assessments by the ambulance attendees. Cases/day were similar throughout the year and on weekdays compared to weekends/public holidays. The main predictors of ambulance call out were multi-morbidity, taking regular anticholinergic medicines, being male and younger age. Estimated costs of ambulance call outs/year were $475/resident and $40,375/residential aged care site. The most frequent primary assessments (trauma, pain, infections) may constitute priorities for developing prevention strategies and for treatment initiatives within residential aged care. Strategies to reduce anticholinergic medication prescribing may also be a potential intervention to decrease ambulance call outs and hospital emergency department demand. The ambulance usage data from this study may be useful to compare with future datasets to measure the impact of the introduction of new services.
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Affiliation(s)
- Louise S. Cox
- Discipline of Pharmacy, Faculty of Health, University of Canberra, Bruce, Canberra, ACT, Australia
| | - Mark Naunton
- Discipline of Pharmacy, Faculty of Health, University of Canberra, Bruce, Canberra, ACT, Australia
| | - Gregory M. Peterson
- Discipline of Pharmacy, Faculty of Health, University of Canberra, Bruce, Canberra, ACT, Australia
- School of Pharmacy and Pharmacology, College of Health and Medicine, University of Tasmania, Hobart, TAS, Australia
| | - Nasser Bagheri
- Health Research Institute, Faculty of Health, University of Canberra, Bruce, Canberra, ACT, Australia
| | - Jake Paul Bennetts
- Discipline of Pharmacy, Faculty of Health, University of Canberra, Bruce, Canberra, ACT, Australia
| | - Jane Koerner
- Health Research Institute, Faculty of Health, University of Canberra, Bruce, Canberra, ACT, Australia
| | - Rachel Davey
- Health Research Institute, Faculty of Health, University of Canberra, Bruce, Canberra, ACT, Australia
| | - Sam Kosari
- Discipline of Pharmacy, Faculty of Health, University of Canberra, Bruce, Canberra, ACT, Australia
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Abuzour AS, Wilson SA, Woodall AA, Mair FS, Clegg A, Shantsila E, Gabbay M, Abaho M, Aslam A, Bollegala D, Cant H, Griffiths A, Hama L, Leeming G, Lo E, Maskell S, O’Connell M, Popoola O, Relton S, Ruddle RA, Schofield P, Sperrin M, Staa TV, Buchan I, Walker LE. A qualitative exploration of barriers to efficient and effective structured medication reviews in primary care: Findings from the DynAIRx study. PLoS One 2024; 19:e0299770. [PMID: 39213435 PMCID: PMC11364411 DOI: 10.1371/journal.pone.0299770] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/16/2024] [Accepted: 06/24/2024] [Indexed: 09/04/2024] Open
Abstract
INTRODUCTION Structured medication reviews (SMRs), introduced in the United Kingdom (UK) in 2020, aim to enhance shared decision-making in medication optimisation, particularly for patients with multimorbidity and polypharmacy. Despite its potential, there is limited empirical evidence on the implementation of SMRs, and the challenges faced in the process. This study is part of a larger DynAIRx (Artificial Intelligence for dynamic prescribing optimisation and care integration in multimorbidity) project which aims to introduce Artificial Intelligence (AI) to SMRs and develop machine learning models and visualisation tools for patients with multimorbidity. Here, we explore how SMRs are currently undertaken and what barriers are experienced by those involved in them. METHODS Qualitative focus groups and semi-structured interviews took place between 2022-2023. Six focus groups were conducted with doctors, pharmacists and clinical pharmacologists (n = 21), and three patient focus groups with patients with multimorbidity (n = 13). Five semi-structured interviews were held with 2 pharmacists, 1 trainee doctor, 1 policy-maker and 1 psychiatrist. Transcripts were analysed using thematic analysis. RESULTS Two key themes limiting the effectiveness of SMRs in clinical practice were identified: 'Medication Reviews in Practice' and 'Medication-related Challenges'. Participants noted limitations to the efficient and effectiveness of SMRs in practice including the scarcity of digital tools for identifying and prioritising patients for SMRs; organisational and patient-related challenges in inviting patients for SMRs and ensuring they attend; the time-intensive nature of SMRs, the need for multiple appointments and shared decision-making; the impact of the healthcare context on SMR delivery; poor communication and data sharing issues between primary and secondary care; difficulties in managing mental health medications and specific challenges associated with anticholinergic medication. CONCLUSION SMRs are complex, time consuming and medication optimisation may require multiple follow-up appointments to enable a comprehensive review. There is a need for a prescribing support system to identify, prioritise and reduce the time needed to understand the patient journey when dealing with large volumes of disparate clinical information in electronic health records. However, monitoring the effects of medication optimisation changes with a feedback loop can be challenging to establish and maintain using current electronic health record systems.
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Affiliation(s)
- Aseel S. Abuzour
- Academic Unit for Ageing & Stroke Research, Bradford Teaching Hospitals NHS Foundation Trust, University of Leeds, Bradford, United Kingdom
- Faculty of Medicine and Health, School of Medicine, University of Leeds, Leeds, United Kingdom
| | - Samantha A. Wilson
- Institute of Population Health, University of Liverpool, Liverpool, United Kingdom
| | - Alan A. Woodall
- Institute of Population Health, University of Liverpool, Liverpool, United Kingdom
- Directorate of Mental Health and Learning Disabilities, Powys Teaching Health Board, Bronllys, United Kingdom
| | - Frances S. Mair
- General Practice and Primary Care, School of Health and Wellbeing, University of Glasgow, Glasgow, United Kingdom
| | - Andrew Clegg
- Academic Unit for Ageing & Stroke Research, Bradford Teaching Hospitals NHS Foundation Trust, University of Leeds, Bradford, United Kingdom
- Faculty of Medicine and Health, School of Medicine, University of Leeds, Leeds, United Kingdom
| | - Eduard Shantsila
- Institute of Population Health, University of Liverpool, Liverpool, United Kingdom
| | - Mark Gabbay
- Institute of Population Health, University of Liverpool, Liverpool, United Kingdom
| | - Michael Abaho
- Institute of Population Health, University of Liverpool, Liverpool, United Kingdom
| | - Asra Aslam
- Faculty of Medicine and Health, School of Medicine, University of Leeds, Leeds, United Kingdom
- Leeds Institute for Data Analytics, University of Leeds, Leeds, United Kingdom
| | - Danushka Bollegala
- Department of Computer Science, University of Liverpool, Liverpool, United Kingdom
| | - Harriet Cant
- Division of Informatics, Imaging & Data Science, University of Manchester, Manchester, United Kingdom
| | - Alan Griffiths
- NIHR Applied Research Collaboration North West Coast, United Kingdom
| | - Layik Hama
- Leeds Institute for Data Analytics, University of Leeds, Leeds, United Kingdom
- School of Computing, University of Leeds, Leeds, United Kingdom
| | - Gary Leeming
- Institute of Population Health, University of Liverpool, Liverpool, United Kingdom
| | - Emma Lo
- Institute of Population Health, University of Liverpool, Liverpool, United Kingdom
| | - Simon Maskell
- Department of Electrical Engineering and Electronics, University of Liverpool, Liverpool, United Kingdom
| | - Maurice O’Connell
- Division of Informatics, Imaging & Data Science, University of Manchester, Manchester, United Kingdom
| | | | - Samuel Relton
- Faculty of Medicine and Health, School of Medicine, University of Leeds, Leeds, United Kingdom
- Leeds Institute for Data Analytics, University of Leeds, Leeds, United Kingdom
| | - Roy A. Ruddle
- Leeds Institute for Data Analytics, University of Leeds, Leeds, United Kingdom
- School of Computing, University of Leeds, Leeds, United Kingdom
| | - Pieta Schofield
- Institute of Population Health, University of Liverpool, Liverpool, United Kingdom
| | - Matthew Sperrin
- Division of Informatics, Imaging & Data Science, University of Manchester, Manchester, United Kingdom
| | - Tjeerd Van Staa
- Division of Informatics, Imaging & Data Science, University of Manchester, Manchester, United Kingdom
| | - Iain Buchan
- Institute of Population Health, University of Liverpool, Liverpool, United Kingdom
| | - Lauren E. Walker
- Centre for Experimental Therapeutics, University of Liverpool, Liverpool, United Kingdom
- Liverpool University Hospitals NHS Foundation Trust, Liverpool, United Kingdom
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Crawford P, Plumb R, Burns P, Flanagan S, Parsons C. A quantitative study on the impact of a community falls pharmacist role, on medicines optimisation in older people at risk of falls. BMC Geriatr 2024; 24:604. [PMID: 39009970 PMCID: PMC11251379 DOI: 10.1186/s12877-024-05189-6] [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: 01/22/2024] [Accepted: 07/01/2024] [Indexed: 07/17/2024] Open
Abstract
BACKGROUND The World Falls guidance includes medication review as part of its recommended multifactorial risk assessment for those at high risk of falling. Use of Falls Risk Increasing Drugs (FRIDs) along with polypharmacy and anticholinergic burden (ACB) are known to increase the risk of falls in older people. METHOD The impact of a community falls pharmacist within a hospital Trust, working as part of a multi-professional community falls prevention service, was evaluated in 92 people aged 65 years or older, by analysing data before and after pharmacist review, namely: number and type of FRIDs prescribed; anticholinergic burden score using ACBcalc®; appropriateness of medicines prescribed; bone health review using an approved too; significance of clinical intervention; cost avoidance, drug cost savings and environmental impact. RESULTS Following pharmacist review, there was a reduction in polypharmacy (mean number of medicines prescribed per patient reduced by 8%; p < 0.05) and anticholinergic burden score (average score per patient reduced by 33%; p < 0.05). Medicines appropriateness improved (Medicines Appropriateness Index score decreased by 56%; p < 0.05). There were 317 clinically significant interventions by the community falls pharmacist. One hundred and one FRIDs were deprescribed. Annual cost avoidance and drug cost savings were £40,689-£82,642 and avoidable carbon dioxide (CO2) emissions from reducing inappropriate prescribing amounted to 941 kg CO2. CONCLUSION The community falls pharmacist role increases prescribing appropriateness in the older population at risk of falls, and is an effective and cost-efficient means to optimise medicines in this population, as well as having a positive impact on the environment.
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Affiliation(s)
- Paula Crawford
- Medicines Optimisation Older People Pharmacy Team, Belfast Health and Social Care Trust, Belfast, UK
- School of Pharmacy, Queen's University Belfast, 97 Lisburn Road, Belfast, BT9 7BL, UK
| | - Rick Plumb
- School of Medicine Dentistry and Biomedical Sciences, Queen's University Belfast, and Belfast Health and Social Care Trust, Belfast, UK
| | - Paula Burns
- Medicines Optimisation Older People Pharmacy Team, Belfast Health and Social Care Trust, Belfast, UK
| | - Stephen Flanagan
- Pharmacy Department, Musgrave Park Hospital, Belfast Health and Social Care Trust, Belfast, UK
| | - Carole Parsons
- School of Pharmacy, Queen's University Belfast, 97 Lisburn Road, Belfast, BT9 7BL, UK.
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Buck J, Fromings Hill J, Collins R, Booth J, Fleming J. Effectiveness of non-pharmacological interventions delivered at home for urinary and faecal incontinence with homebound older people: systematic review of randomised controlled trials. Age Ageing 2024; 53:afae126. [PMID: 38941119 PMCID: PMC11212545 DOI: 10.1093/ageing/afae126] [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: 11/10/2023] [Indexed: 06/29/2024] Open
Abstract
INTRODUCTION Incontinence is a common, distressing condition, most prevalent in older people. There is an unmet need for effective interventions to support continence. This review focuses on non-pharmacological interventions to reduce incontinence among homebound older people. Aim: to identify interventions with potential to be delivered by care workers, nurses or family members in a person's home. METHODS Multiple databases were searched until 15 September 2023 for randomised controlled trials reporting home-based interventions for incontinence for older people (≥65 years) living at home. Two reviewers independently screened titles, abstracts and papers against inclusion criteria, then assessed for the Risk of Bias (RoB2). A third reviewer resolved the discrepancies. Primary data were extracted and synthesised. RESULTS A full-text review of 81 papers identified seven eligible papers (1996-2022, all USA), including n = 636 participants (561 women and 75 men). Two studies focusing on multicomponent behavioural interventions showed benefit, as did one study of transcutaneous tibial nerve stimulation self-administered through electrode-embedded socks. Three, which included cognitively impaired people, reported improvement with toileting assistance programmes, but the effects were not all significant. Results were inconclusive from a study examining the effects of fluid intake adjustments. Interventions were delivered by nurses, three in collaboration with family caregivers. No faecal incontinence interventions met the criteria. CONCLUSION There is scant evidence for continence supporting interventions delivered in older people's own homes. With an ageing population often reliant on family or social care workers well-placed to support continence promotion and policy drives for services to support older people remaining at home, this evidence gap needs addressing.
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Affiliation(s)
- Jackie Buck
- School of Health Sciences, Faculty of Medicine and Health Sciences, University of East Anglia, Norwich, UK
- St Bartholomew’s Hospital, Barts Health NHS Trust, West Smithfield, London EC1A 7BE, UK
| | - Julia Fromings Hill
- School of Health Sciences, Faculty of Medicine and Health Sciences, University of East Anglia, Norwich, UK
| | - Rachael Collins
- School of Health Sciences, Faculty of Medicine and Health Sciences, University of East Anglia, Norwich, UK
| | - Joanne Booth
- Research Centre for Health, School of Health and Life Sciences, Glasgow Caledonian University, Glasgow, UK
| | - Jane Fleming
- Cambridge Public Health Interdisciplinary Research Centre, University of Cambridge, Cambridge, UK
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Vanegas-Arroyave N, Caroff SN, Citrome L, Crasta J, McIntyre RS, Meyer JM, Patel A, Smith JM, Farahmand K, Manahan R, Lundt L, Cicero SA. An Evidence-Based Update on Anticholinergic Use for Drug-Induced Movement Disorders. CNS Drugs 2024; 38:239-254. [PMID: 38502289 PMCID: PMC10980662 DOI: 10.1007/s40263-024-01078-z] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Accepted: 02/27/2024] [Indexed: 03/21/2024]
Abstract
Drug-induced movement disorders (DIMDs) are associated with use of dopamine receptor blocking agents (DRBAs), including antipsychotics. The most common forms are drug-induced parkinsonism (DIP), dystonia, akathisia, and tardive dyskinesia (TD). Although rare, neuroleptic malignant syndrome (NMS) is a potentially life-threatening consequence of DRBA exposure. Recommendations for anticholinergic use in patients with DIMDs were developed on the basis of a roundtable discussion with healthcare professionals with extensive expertise in DIMD management, along with a comprehensive literature review. The roundtable agreed that "extrapyramidal symptoms" is a non-specific term that encompasses a range of abnormal movements. As such, it contributes to a misconception that all DIMDs can be treated in the same way, potentially leading to the misuse and overprescribing of anticholinergics. DIMDs are neurobiologically and clinically distinct, with different treatment paradigms and varying levels of evidence for anticholinergic use. Whereas evidence indicates anticholinergics can be effective for DIP and dystonia, they are not recommended for TD, akathisia, or NMS; nor are they supported for preventing DIMDs except in individuals at high risk for acute dystonia. Anticholinergics may induce serious peripheral adverse effects (e.g., urinary retention) and central effects (e.g., impaired cognition), all of which can be highly concerning especially in older adults. Appropriate use of anticholinergics therefore requires careful consideration of the evidence for efficacy (e.g., supportive for DIP but not TD) and the risks for serious adverse events. If used, anticholinergic medications should be prescribed at the lowest effective dose and for limited periods of time. When discontinued, they should be tapered gradually.
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Affiliation(s)
- Nora Vanegas-Arroyave
- Department of Neurology, Baylor College of Medicine, 7200 Cambridge Street, Suite 9A, Houston, TX, 77030, USA.
| | - Stanley N Caroff
- Corporal Michael J. Crescenz Veterans Affairs Medical Center, Philadelphia, PA, USA
- Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA
| | | | | | - Roger S McIntyre
- Department of Psychiatry and Pharmacology, University of Toronto, Toronto, ON, Canada
- Brain and Cognition Discovery Foundation, Toronto, ON, Canada
| | - Jonathan M Meyer
- Department of Psychiatry, University of California San Diego, La Jolla, CA, USA
| | - Amita Patel
- Dayton Psychiatric Associations, Dayton, OH, USA
- Joint Township District Memorial Hospital, St. Marys, OH, USA
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Michael HU, Brouillette MJ, Tamblyn R, Fellows LK, Mayo NE. The association between anticholinergic/sedative burden and physical frailty in people aging with HIV. AIDS 2024; 38:509-519. [PMID: 38051790 DOI: 10.1097/qad.0000000000003806] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/07/2023]
Abstract
OBJECTIVE This study aimed to estimate the strength of the association between anticholinergic/sedative burden and concurrent physical frailty in people aging with HIV. DESIGN This cross-sectional analysis examined baseline data from 824 adults with a mean age of 53 enrolled in the Positive Brain Health Now study. METHODS Anticholinergic medications were identified using four methods: Anticholinergic Cognitive Burden (ACB) Scale, Anticholinergic Risk Scale (ARS), Anticholinergic Drug Scale (ADS), and the anticholinergic list of the Anticholinergic and Sedative Burden Catalog (ACSBC). Sedatives were identified using the Sedative Load Model (SLM) and the sedative list of the ACSBC. Physical frailty was assessed using a modified Fried Frailty Phenotype (FFP) based on self-report items. Multivariable logistic regression models, adjusted for sociodemographic factors, lifestyle considerations, HIV-related variables, comorbidities, and co-medication use, were used to estimate odds ratios (ORs). RESULTS Anticholinergic burden demonstrated associations with frailty across various methods: total anticholinergic burden (OR range: 1.22-1.32; 95% confidence interval (CI) range: 1.03-1.66), sedative burden (OR range: 1.18-1.24; 95% CI range: 1.02-1.45), high anticholinergic burden (OR range: 2.12-2.74; 95% CI range: 1.03-6.19), and high sedative burden (OR range: 1.94-2.18; 95% CI: 1.01-4.34). CONCLUSION The anticholinergic and sedative burdens may represent modifiable risk factors for frailty in people aging with HIV. Future studies should evaluate the effects of reducing anticholinergic and sedative burdens on frailty outcomes and explore the prognostic value of diverse scoring methods.
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Affiliation(s)
- Henry Ukachukwu Michael
- Division of Experimental Medicine, McGill University
- Center for Outcomes Research and Evaluation (CORE), Research Institute of the McGill University Health Center
| | - Marie-Josée Brouillette
- Department of Psychiatry, Faculty of Medicine, McGill University
- Chronic Viral Illness Service, McGill University Health Centre (MUHC)
- Infectious Diseases and Immunity in Global Health Program, MUHC-RI
| | - Robyn Tamblyn
- Division of Experimental Medicine, McGill University
- Department of Epidemiology, Biostatistics & Occupational Health, McGill University, Montreal, Quebec, Canada
| | - Lesley K Fellows
- Department of Neurology & Neurosurgery, Montreal Neurological Institute
| | - Nancy E Mayo
- Division of Experimental Medicine, McGill University
- Center for Outcomes Research and Evaluation (CORE), Research Institute of the McGill University Health Center
- School of Physical and Occupational Therapy, Faculty of Medicine and Health Sciences, McGill University
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9
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Benussi A, Mattioli I, Silvestri C, Libri I, Zampini S, Cosseddu M, Turrone R, Amolini C, Caratozzolo S, Borroni B, Marengoni A, Padovani A. Defining the Role of Frailty in the Transition from Mild Cognitive Impairment to Dementia and in Dementia Progression. Dement Geriatr Cogn Disord 2024; 53:57-65. [PMID: 38417404 DOI: 10.1159/000535789] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/29/2023] [Accepted: 12/08/2023] [Indexed: 03/01/2024] Open
Abstract
INTRODUCTION Neurodegenerative diseases are a growing concern in an aging global population. Frailty, often conceptualized as a state of diminished physiological reserve and increased susceptibility to stressors, emerges as a pivotal factor in this context. While frailty may be modified, it is essential to recognize its frequently irreversible nature, necessitating a careful approach when considering its role and influence in the progression from mild cognitive impairment (MCI) to dementia and within dementia progression. METHODS A retrospective study including 1,284 participants, attending a Cognitive Disturbances and Dementia unit from January 2021 to May 2023, was conducted. Frailty was assessed using the clinical frailty scale (CFS) score. Multilevel univariate and multivariate logistic regression models were developed to determine the contributions of patient characteristics, including frailty, to disease progression. RESULTS Frailty significantly increased with higher global clinical dementia rating (CDR) subgroups, suggesting escalating frailty burden with disease progression. Age, CFS, and mini-mental state examination (MMSE) scores were significant predictors of progression from MCI to dementia and to more severe dementia stages, even when considering the independence from variables contributing to frailty. Patients transitioning to a higher CDR group exhibited higher CFS scores. Age, education, anticholinergic burden, cumulative illness rating scale - geriatric, MMSE, and neuropsychiatric inventory scores significantly contributed to frailty. CONCLUSIONS Frailty plays a critical role in the transition from MCI to dementia and within dementia progression. Age, cognitive impairment, and frailty were identified as significant predictors of disease progression. The CFS is a clinically applicable tool for frailty assessment. Regular frailty assessments may be valuable in early detection and management of dementia.
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Affiliation(s)
- Alberto Benussi
- Neurology Unit, Department of Clinical and Experimental Sciences, University of Brescia, Brescia, Italy
- Neurology Unit, Department of Continuity of Care and Frailty, AOU Spedali Civili di Brescia, Brescia, Italy
| | - Irene Mattioli
- Neurology Unit, Department of Clinical and Experimental Sciences, University of Brescia, Brescia, Italy,
| | - Chiara Silvestri
- Neurology Unit, Department of Clinical and Experimental Sciences, University of Brescia, Brescia, Italy
| | - Ilenia Libri
- Neurology Unit, Department of Clinical and Experimental Sciences, University of Brescia, Brescia, Italy
| | - Silvio Zampini
- Neurology Unit, Department of Clinical and Experimental Sciences, University of Brescia, Brescia, Italy
| | - Maura Cosseddu
- Neurology Unit, Department of Continuity of Care and Frailty, AOU Spedali Civili di Brescia, Brescia, Italy
| | - Rosanna Turrone
- Neurology Unit, Department of Continuity of Care and Frailty, AOU Spedali Civili di Brescia, Brescia, Italy
| | - Claudia Amolini
- Geriatrics Unit, Department of Clinical and Experimental Sciences, University of Brescia, Brescia, Italy
- Geriatrics Unit, Department of Continuity of Care and Frailty, AOU Spedali Civili di Brescia, Brescia, Italy
| | - Salvatore Caratozzolo
- Neurology Unit, Department of Continuity of Care and Frailty, AOU Spedali Civili di Brescia, Brescia, Italy
| | - Barbara Borroni
- Neurology Unit, Department of Clinical and Experimental Sciences, University of Brescia, Brescia, Italy
- Neurology Unit, Department of Continuity of Care and Frailty, AOU Spedali Civili di Brescia, Brescia, Italy
| | - Alessandra Marengoni
- Geriatrics Unit, Department of Clinical and Experimental Sciences, University of Brescia, Brescia, Italy
- Geriatrics Unit, Department of Continuity of Care and Frailty, AOU Spedali Civili di Brescia, Brescia, Italy
| | - Alessandro Padovani
- Neurology Unit, Department of Clinical and Experimental Sciences, University of Brescia, Brescia, Italy
- Neurology Unit, Department of Continuity of Care and Frailty, AOU Spedali Civili di Brescia, Brescia, Italy
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10
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Sargent L, Zimmerman KM, Mohammed A, Barrett MJ, Nawaz H, Wyman-Chick K, Mackiewicz M, Roman Y, Slattum P, Russell S, Dixon DL, Lageman SK, Hobgood S, Thacker LR, Price ET. Low-Income Older Adults' Vulnerability to Anticholinergic Medication-Associated Frailty. Drugs Aging 2023; 40:1123-1131. [PMID: 37856064 DOI: 10.1007/s40266-023-01069-7] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 09/04/2023] [Indexed: 10/20/2023]
Abstract
BACKGROUND A growing body of research supports the negative impact of anticholinergic drug burden on physical frailty. However, prior research has been limited to homogeneous white European populations, and few studies have evaluated how anticholinergic burden tools compare in their measurement function and reliability with minority community-dwelling adult populations. This study investigated the association between anticholinergic drug exposure and frailty by conducting a sensitivity analysis using multiple anticholinergic burden tools in a diverse cohort. METHODS A comprehensive psychometric approach was used to assess the performance of five clinical Anticholinergic Burden Tools: Anticholinergic Cognitive Burden Scale (ACB), Anticholinergic Drug Scale (ADS), average daily dose, total standardized daily doses (TSDD), and Cumulative Anticholinergic Burden scale (CAB). Spearman correlation matrix and intraclass correlation coefficients (ICC) were used to determine the association among the variables. Ordinal logistic regression is used to evaluate the anticholinergic burden measured by each scale to determine the prediction of frailty. Model performance is determined by the area under the curve (AUC). RESULTS The cohort included 80 individuals (mean age 69 years; 55.7% female, 71% African American). All anticholinergic burden tools were highly correlated (p < 0.001), ICC3 0.66 (p < 0.001, 95% confidence interval (CI) 0.53-0.73). Among individuals prescribed anticholinergics, 33% were robust, 44% were prefrail, and 23% were frail. All five tools predicted prefrail and frail status (p < 0.05) with low model misclassification rates for frail individuals (AUC range 0.78-0.85). CONCLUSION Anticholinergic burden tools evaluated in this cohort of low-income African American older adults were highly correlated and predicted prefrail and frail status. Findings indicate that clinicians can select the appropriate instrument for the clinic setting and research question while maintaining confidence that all five tools will produce reliable results. Future anticholinergic research is needed to unravel the association between interventions such as deprescribing on incident frailty in longitudinal data.
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Affiliation(s)
- Lana Sargent
- School of Nursing, Virginia Commonwealth University, 1100 E Leigh St., Richmond, VA, 23298, USA.
- Geriatric Pharmacotherapy Program, School of Pharmacy, Virginia Commonwealth University, 410 N 12th St., Richmond, VA, 23298, USA.
- Institute for Inclusion, Inquiry, and Innovation (iCubed): Health and Wellness in Aging Populations Core, Richmond, VA, 23298, USA.
| | - Kristin M Zimmerman
- Institute for Inclusion, Inquiry, and Innovation (iCubed): Health and Wellness in Aging Populations Core, Richmond, VA, 23298, USA
- Department of Pharmacotherapy and Outcomes Science, School of Pharmacy, Virginia Commonwealth University, 410 N 12th St., Richmond, VA, 23298, USA
| | - Almutairi Mohammed
- Department of Pharmacy Practice, College of Pharmacy, Qassim University, 51452, Buraydah, Saudi Arabia
| | - Matthew J Barrett
- Department of Neurology, Virginia Commonwealth University, Richmond, VA, 23298, USA
| | - Huma Nawaz
- Department of Neurology, Virginia Commonwealth University, Richmond, VA, 23298, USA
| | | | - Marissa Mackiewicz
- Geriatric Pharmacotherapy Program, School of Pharmacy, Virginia Commonwealth University, 410 N 12th St., Richmond, VA, 23298, USA
- Institute for Inclusion, Inquiry, and Innovation (iCubed): Health and Wellness in Aging Populations Core, Richmond, VA, 23298, USA
| | - Youssef Roman
- Geriatric Pharmacotherapy Program, School of Pharmacy, Virginia Commonwealth University, 410 N 12th St., Richmond, VA, 23298, USA
- Department of Pharmacotherapy and Outcomes Science, School of Pharmacy, Virginia Commonwealth University, 410 N 12th St., Richmond, VA, 23298, USA
| | - Patricia Slattum
- Geriatric Pharmacotherapy Program, School of Pharmacy, Virginia Commonwealth University, 410 N 12th St., Richmond, VA, 23298, USA
- Department of Pharmacotherapy and Outcomes Science, School of Pharmacy, Virginia Commonwealth University, 410 N 12th St., Richmond, VA, 23298, USA
- Virginia Center on Aging, Virginia Commonwealth University, 900 E Leigh St, Richmond, VA, 23298, USA
| | - Sally Russell
- School of Nursing, Virginia Commonwealth University, 1100 E Leigh St., Richmond, VA, 23298, USA
| | - Dave L Dixon
- Department of Pharmacotherapy and Outcomes Science, School of Pharmacy, Virginia Commonwealth University, 410 N 12th St., Richmond, VA, 23298, USA
| | - Sarah K Lageman
- Department of Neurology, Virginia Commonwealth University, Richmond, VA, 23298, USA
| | - Sarah Hobgood
- School of Medicine, Department of Geriatrics, Virginia Commonwealth University, 1101 E. Marshall St., Richmond, VA, 23298, USA
| | - Leroy R Thacker
- School of Medicine, Department of Biostatistics, Virginia Commonwealth University, 830 East Main Street, Richmond, VA, 23298, USA
| | - Elvin T Price
- Geriatric Pharmacotherapy Program, School of Pharmacy, Virginia Commonwealth University, 410 N 12th St., Richmond, VA, 23298, USA
- Institute for Inclusion, Inquiry, and Innovation (iCubed): Health and Wellness in Aging Populations Core, Richmond, VA, 23298, USA
- Department of Pharmacotherapy and Outcomes Science, School of Pharmacy, Virginia Commonwealth University, 410 N 12th St., Richmond, VA, 23298, USA
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11
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Chou YY, Lee YS, Lin CS, Chen JP, Kuo FH, Lin CF, Chen YM, Lin SY. Gender-specific linkages: frailty, polypharmacy, anti-cholinergic burden, and 5-year mortality risk-a real-world analysis. PeerJ 2023; 11:e16262. [PMID: 38025730 PMCID: PMC10668851 DOI: 10.7717/peerj.16262] [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: 05/24/2023] [Accepted: 09/18/2023] [Indexed: 12/01/2023] Open
Abstract
Background With higher age, frailty escalates the risk of falls, unexpected physical dysfunction, hospitalization, and mortality. Polypharmacy in the older population is a major challenge that not only increases medical costs, but also may worsen the risk of hospitalization and death. More importantly, the properties of anti-cholinergic drugs contribute various negative effects. This study aimed to investigate the sex difference in the association of polypharmacy, anticholinergic burden, and frailty with mortality. Methods Participants older than 65 years who attended the geriatric outpatient clinic of the study center between January 2015 and July 2020 were invited to participate in this retrospective study. Comprehensive geriatric assessment data were collected and the phenotype of frailty was determined by Fried's criteria. Cox regression and the Kaplan-Meier curve were used to identify risk factors of 5-year survival along with intergroup differences in the risks. Results Of the 2,077 participants, 47.5% were female. The prevalence of frailty and the rate of polypharmacy were 44.7% and 60.6%, respectively. Higher age, male sex, low body mass index, low Mini-Mental State Examination scores, low activities of daily living, frailty status, polypharmacy, and a high Charlson Comorbidity Index score, and greater anticholinergic burden were significant risk factors that were associated with the 5-year all-cause mortality. Male patients with frailty exhibited the highest risks of mortality compared with male patients without frailty and female patients with or without frailty. Polypharmacy was significantly associated with a higher 5-year mortality rate in the frail male group compared with the non-frail male. In frail female group, individuals with a higher anticholinergic burden (as indicated by the Anticholinergic Cognitive Burden Scale) from drug usage exhibited an elevated 5-year mortality rate. Conclusions Polypharmacy and greater anticholinergic burden, synergistically interacted with frailty and intensified the 5-year mortality risk in a gender-specific manner. To mitigate mortality risks, clinicians should prudently identify polypharmacy and anticholinergic burden in the older population.
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Affiliation(s)
- Yin Yi Chou
- Center for Geriatrics & Gerontology, Taichung Veterans General Hospital, Taichung, Taiwan
- Division of Allergy, Immunology and Rheumatology, Taichung Veterans General Hospital, Taichung, Taiwan
| | - Yu Shan Lee
- Center for Geriatrics & Gerontology, Taichung Veterans General Hospital, Taichung, Taiwan
- Division of Neurology, Taichung Veterans General Hospital, Taichung, Taiwan
| | - Chu Sheng Lin
- Department of Post-Baccalaureate Medicine, College of Medicine, National Chung Hsing University, Taichung, Taiwan
- Department of Family Medicine, Taichung Veterans General Hospital, Taichung, Taiwan
| | - Jun Peng Chen
- Department of Medical Research, Taichung Veterans General Hospital, Taichung, Taiwan
| | - Fu-Hsuan Kuo
- Center for Geriatrics & Gerontology, Taichung Veterans General Hospital, Taichung, Taiwan
- Division of Neurology, Taichung Veterans General Hospital, Taichung, Taiwan
| | - Cheng-Fu Lin
- Center for Geriatrics & Gerontology, Taichung Veterans General Hospital, Taichung, Taiwan
- Department of Family Medicine, Taichung Veterans General Hospital, Taichung, Taiwan
- Division of Occupational Medicine, Department of Emergency, Taichung Veterans General Hospital, Taichung, Taiwan
| | - Yi-Ming Chen
- Division of Allergy, Immunology and Rheumatology, Taichung Veterans General Hospital, Taichung, Taiwan
- Department of Post-Baccalaureate Medicine, College of Medicine, National Chung Hsing University, Taichung, Taiwan
- Department of Medical Research, Taichung Veterans General Hospital, Taichung, Taiwan
- Institute of Biomedical Science and Rong-Hsing Research Center for Translational Medicine, Chung Hsing University, Taichung, Taiwan
- School of Medicine, National Yang Ming Chiao Tung University, Taipei, Taiwan
| | - Shih-Yi Lin
- Center for Geriatrics & Gerontology, Taichung Veterans General Hospital, Taichung, Taiwan
- Department of Post-Baccalaureate Medicine, College of Medicine, National Chung Hsing University, Taichung, Taiwan
- Division of Endocrinology and Metabolism, Department of Internal Medicine, Taichung Veterans General Hospital, Taichung, Taiwan
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12
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Cheong VL, Mehdizadeh D, Todd OM, Gardner P, Zaman H, Clegg A, Alldred DP, Faisal M. The extent of anticholinergic burden across an older Welsh population living with frailty: cross-sectional analysis of general practice records. Age Ageing 2023; 52:afad136. [PMID: 37505992 PMCID: PMC10378723 DOI: 10.1093/ageing/afad136] [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: 08/31/2022] [Indexed: 07/30/2023] Open
Abstract
BACKGROUND Anticholinergic medicines are associated with adverse outcomes for older people. However, little is known about their use in frailty. The objectives were to (i) investigate the prevalence of anticholinergic prescribing for older patients, and (ii) examine anticholinergic burden according to frailty status. METHODS Cross-sectional analysis of Welsh primary care data from the Secure Anonymised Information Linkage databank including patients aged ≥65 at their first GP consultation between 1 January and 31 December 2018. Frailty was identified using the electronic Frailty Index and anticholinergic burden using the Anticholinergic Cognitive Burden (ACB) scale. Descriptive analysis and logistic regression were conducted to (i) describe the type and frequency of anticholinergics prescribed; and (ii) to estimate the association between frailty and cumulative ACB score (ACB-Sum). RESULTS In this study of 529,095 patients, 47.4% of patients receiving any prescription medications were prescribed at least one anticholinergic medicine. Adjusted regression analysis showed that patients with increasing frailty had higher odds of having an ACB-Sum of >3 compared with patients who were fit (mild frailty, adj OR 1.062 (95%CI 1.061-1.064), moderate frailty, adj OR 1.134 (95%CI 1.131-1.136), severe frailty, adj OR 1.208 (95%CI 1.203-1.213)). CONCLUSIONS Anticholinergic prescribing was high in this older population. Older people with advancing frailty are exposed to the highest anticholinergic burden despite being the most vulnerable to the associated adverse effects. Older people with advancing frailty should be considered for medicines review to prevent overaccumulation of anticholinergic medications, given the risks of functional and cognitive decline that frailty presents.
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Affiliation(s)
- V-Lin Cheong
- Medicines Management & Pharmacy Services, Leeds Teaching Hospitals NHS Trust, Leeds, UK
- School of Healthcare, University of Leeds, Leeds, UK
| | - David Mehdizadeh
- School of Pharmacy and Medical Sciences, University of Bradford, Bradford, UK
- NIHR Yorkshire and Humber Patient Safety Translational Research Centre, Bradford, UK
| | - Oliver M Todd
- Academic Unit for Ageing and Stroke Research (University of Leeds), Bradford Institute for Health Research, Bradford Teaching Hospitals NHS Foundation Trust, Bradford, UK
| | - Peter Gardner
- School of Pharmacy and Medical Sciences, University of Bradford, Bradford, UK
- NIHR Yorkshire and Humber Patient Safety Translational Research Centre, Bradford, UK
- Wolfson Centre for Applied Health Research, Bradford, UK
| | - Hadar Zaman
- School of Pharmacy and Medical Sciences, University of Bradford, Bradford, UK
- NIHR Yorkshire and Humber Patient Safety Translational Research Centre, Bradford, UK
- Wolfson Centre for Applied Health Research, Bradford, UK
| | - Andrew Clegg
- NIHR Yorkshire and Humber Patient Safety Translational Research Centre, Bradford, UK
- Academic Unit for Ageing and Stroke Research (University of Leeds), Bradford Institute for Health Research, Bradford Teaching Hospitals NHS Foundation Trust, Bradford, UK
- Wolfson Centre for Applied Health Research, Bradford, UK
| | - David P Alldred
- School of Healthcare, University of Leeds, Leeds, UK
- NIHR Yorkshire and Humber Patient Safety Translational Research Centre, Bradford, UK
- Wolfson Centre for Applied Health Research, Bradford, UK
| | - Muhammad Faisal
- NIHR Yorkshire and Humber Patient Safety Translational Research Centre, Bradford, UK
- Wolfson Centre for Applied Health Research, Bradford, UK
- Faculty of Health Studies, University of Bradford, Bradford, UK
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13
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Roitto HM, Aalto UL, Öhman H, Saarela RKT, Kautiainen H, Salminen K, Pitkälä KH. Association of medication use with falls and mortality among long-term care residents: a longitudinal cohort study. BMC Geriatr 2023; 23:375. [PMID: 37331981 DOI: 10.1186/s12877-023-04096-6] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/02/2022] [Accepted: 06/07/2023] [Indexed: 06/20/2023] Open
Abstract
BACKGROUND Falls in long-term care are common. The aim of our study was to explore how medication use is associated with incidence of falls, related consequences, and all-cause mortality among long-term care residents. METHODS Five hundred thirty two long-term care residents aged 65 years or older participated in this longitudinal cohort study in 2018-2021. Data on medication use were retrieved from medical records. Polypharmacy was defined as use of 5-10 medications and excessive polypharmacy as use of > 10 medications. The numbers of falls, injuries, fractures, and hospitalizations were collected from medical records over 12 months following baseline assessment. Participants were followed for three years for mortality. All analysis were adjusted for age, sex, Charlson Comorbidity Index, Clinical dementia rating, and mobility. RESULTS A total of 606 falls occurred during the follow-up. Falls increased significantly with the number of medications used. Fall rate was 0.84/person-years (pyrs) (95% CI 0.56 to 1.13) for the non-polypharmacy group, 1.13/pyrs (95% CI 1.01 to 1.26) for the polypharmacy group, and 1.84/pyrs (95% CI 1.60 to 2.09) for the excessive polypharmacy group. Incidence rate ratio for falls was 1.73 (95% CI 1.44 to 2.10) for opioids, 1.48 (95% CI 1.23 to 1.78) for anticholinergic medication, 0.93 (95% CI 0.70 to 1.25) for psychotropics, and 0.91 (95% CI 0.77 to 1.08) for Alzheimer medication. The three-year follow-up showed significant differences in mortality between the groups, the lowest survival rate (25%) being in the excessive polypharmacy group. CONCLUSION Polypharmacy, opioid and anticholinergic medication use predicted incidence of falls in long-term care. The use of more than 10 medications predicted all-cause mortality. Special attention should be paid to both number and type of medications when prescribing in long-term care.
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Affiliation(s)
- Hanna-Maria Roitto
- Department of Geriatrics, Helsinki University Hospital and University of Helsinki, Helsinki, Finland.
- Finnish Institute for Health and Welfare, Population Health Unit, Helsinki, Finland.
- Department of Social Services and Health Care, Helsinki, Finland.
| | - Ulla L Aalto
- Department of Geriatrics, Helsinki University Hospital and University of Helsinki, Helsinki, Finland
| | - Hanna Öhman
- Department of Geriatrics, Helsinki University Hospital and University of Helsinki, Helsinki, Finland
| | | | - Hannu Kautiainen
- Department of General Practice and Primary Health Care, University of Helsinki, Helsinki, Finland
| | - Karoliina Salminen
- Department of General Practice and Primary Health Care, University of Helsinki, Helsinki, Finland
| | - Kaisu H Pitkälä
- Department of General Practice and Primary Health Care, University of Helsinki, Helsinki, Finland
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14
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Phutietsile GO, Fotaki N, Jamieson HA, Nishtala PS. The association between anticholinergic burden and mobility: a systematic review and meta-analyses. BMC Geriatr 2023; 23:161. [PMID: 36949391 PMCID: PMC10035151 DOI: 10.1186/s12877-023-03820-6] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/17/2022] [Accepted: 02/13/2023] [Indexed: 03/24/2023] Open
Abstract
BACKGROUND As people age, they accumulate several health conditions, requiring the use of multiple medications (polypharmacy) to treat them. One of the challenges with polypharmacy is the associated increase in anticholinergic exposure to older adults. In addition, several studies suggest an association between anticholinergic burden and declining physical function in older adults. OBJECTIVE/PURPOSE This systematic review aimed to synthesise data from published studies regarding the association between anticholinergic burden and mobility. The studies were critically appraised for the strength of their evidence. METHODS A systematic literature search was conducted across five electronic databases, EMBASE, CINAHL, PSYCHINFO, Cochrane CENTRAL and MEDLINE, from inception to December 2021, to identify studies on the association of anticholinergic burden with mobility. The search was performed following a strategy that converted concepts in the PECO elements into search terms, focusing on terms most likely to be found in the title and abstracts of the studies. For observational studies, the risk of bias was assessed using the Newcastle Ottawa Scale, and the Cochrane risk of bias tool was used for randomised trials. The GRADE criteria was used to rate confidence in evidence and conclusions. For the meta-analyses, we explored the heterogeneity using the Q test and I2 test and the publication bias using the funnel plot and Egger's regression test. The meta-analyses were performed using Jeffreys's Amazing Statistics Program (JASP). RESULTS Sixteen studies satisfied the inclusion criteria from an initial 496 studies. Fifteen studies identified a significant negative association of anticholinergic burden with mobility measures. One study did not find an association between anticholinergic intervention and mobility measures. Five studies included in the meta-analyses showed that anticholinergic burden significantly decreased walking speed (0.079 m/s ± 0.035 MD ± SE,95% CI: 0.010 to 0.149, p = 0.026), whilst a meta-analysis of four studies showed that anticholinergic burden significantly decreased physical function as measured by three variations of the Instrumental Activities of Daily Living (IADL) instrument 0.27 ± 0.12 (SMD ± SE,95% CI: 0.03 to 0.52), p = 0.027. The results of both meta-analyses had an I2 statistic of 99% for study heterogeneity. Egger's test did not reveal publication bias. CONCLUSION There is consensus in published literature suggesting a clear association between anticholinergic burden and mobility. Consideration of cognitive anticholinergic effects may be important in interpreting results regarding the association of anticholinergic burden and mobility as anticholinergic drugs may affect mobility through cognitive effects.
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Affiliation(s)
| | - Nikoletta Fotaki
- Department of Pharmacy and Pharmacology, University of Bath, Bath, BA2 7AY, UK
- Centre for Therapeutic Innovation, University of Bath, Bath, BA2 7AY, UK
| | - Hamish A Jamieson
- Department of Medicine, University of Otago, Christchurch, New Zealand
| | - Prasad S Nishtala
- Department of Pharmacy and Pharmacology, University of Bath, Bath, BA2 7AY, UK
- Centre for Therapeutic Innovation, University of Bath, Bath, BA2 7AY, UK
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15
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Dinh TS, Meid AD, Rudolf H, Brueckle MS, González-González AI, Bencheva V, Gogolin M, Snell KIE, Elders PJM, Thuermann PA, Donner-Banzhoff N, Blom JW, van den Akker M, Gerlach FM, Harder S, Thiem U, Glasziou PP, Haefeli WE, Muth C. Anticholinergic burden measures, symptoms, and fall-associated risk in older adults with polypharmacy: Development and validation of a prognostic model. PLoS One 2023; 18:e0280907. [PMID: 36689445 PMCID: PMC9870119 DOI: 10.1371/journal.pone.0280907] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/30/2022] [Accepted: 12/22/2022] [Indexed: 01/24/2023] Open
Abstract
BACKGROUND Anticholinergic burden has been associated with adverse outcomes such as falls. To date, no gold standard measure has been identified to assess anticholinergic burden, and no conclusion has been drawn on which of the different measure algorithms best predicts falls in older patients from general practice. This study compared the ability of five measures of anticholinergic burden to predict falls. To account for patients' individual susceptibility to medications, the added predictive value of typical anticholinergic symptoms was further quantified in this context. METHODS AND FINDINGS To predict falls, models were developed and validated based on logistic regression models created using data from two German cluster-randomized controlled trials. The outcome was defined as "≥ 1 fall" vs. "no fall" within a 6-month follow-up period. Data from the RIME study (n = 1,197) were used in model development, and from PRIMUM (n = 502) for external validation. The models were developed step-wise in order to quantify the predictive ability of anticholinergic burden measures, and anticholinergic symptoms. In the development set, 1,015 patients had complete data and 188 (18.5%) experienced ≥ 1 fall within the 6-month follow-up period. The overall predictive value of the five anticholinergic measures was limited, with neither the employed anticholinergic variable (binary / count / burden), nor dose-dependent or dose-independent measures differing significantly in their ability to predict falls. The highest c-statistic was obtained using the German Anticholinergic Burden Score (0.73), whereby the optimism-corrected c-statistic was 0.71 after interval validation using bootstrapping and 0.63 in the external validation. Previous falls and dizziness / vertigo had the strongest prognostic value in all models. CONCLUSIONS The ability of anticholinergic burden measures to predict falls does not appear to differ significantly, and the added value they contribute to risk classification in fall-prediction models is limited. Previous falls and dizziness / vertigo contributed most to model performance.
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Affiliation(s)
- Truc Sophia Dinh
- Institute of General Practice, Goethe University Frankfurt, Frankfurt am Main, Germany
| | - Andreas D. Meid
- Department of Clinical Pharmacology and Pharmacoepidemiology, Heidelberg University Hospital, Heidelberg, Germany
| | - Henrik Rudolf
- Department of Medical Informatics, Biometry and Epidemiology, Ruhr-University Bochum, Bochum, Germany
| | - Maria-Sophie Brueckle
- Institute of General Practice, Goethe University Frankfurt, Frankfurt am Main, Germany
| | | | - Veronika Bencheva
- HELIOS University Clinic Wuppertal, Philipp Klee-Institute for Clinical Pharmacology, University of Witten / Herdecke, Witten, Germany
| | - Matthias Gogolin
- HELIOS University Clinic Wuppertal, Philipp Klee-Institute for Clinical Pharmacology, University of Witten / Herdecke, Witten, Germany
| | - Kym I. E. Snell
- Centre for Prognosis Research, School of Medicine, Keele University, Staffordshire, United Kingdom
| | - Petra J. M. Elders
- Amsterdam UMC, General Practice and Elderly Care Medicine, Amsterdam Public Health Research Institute, Vrije Universiteit Amsterdam, Amsterdam, The Netherlands
| | - Petra A. Thuermann
- HELIOS University Clinic Wuppertal, Philipp Klee-Institute for Clinical Pharmacology, University of Witten / Herdecke, Witten, Germany
| | - Norbert Donner-Banzhoff
- Department of General Practice / Family Medicine, Philipps University Marburg, Marburg, Germany
| | - Jeanet W. Blom
- Department of Public Health and Primary Care, Leiden University Medical Center, Leiden, The Netherlands
| | - Marjan van den Akker
- Institute of General Practice, Goethe University Frankfurt, Frankfurt am Main, Germany
- Department of Family Medicine, Care and Public Health Research Institute, Maastricht University, Maastricht, The Netherlands
- Department of Public Health and Primary Care, Academic Centre of General Practice, KU Leuven, Leuven, Belgium
| | - Ferdinand M. Gerlach
- Institute of General Practice, Goethe University Frankfurt, Frankfurt am Main, Germany
| | - Sebastian Harder
- Institute of Clinical Pharmacology, Goethe University Frankfurt, Frankfurt, Germany
| | - Ulrich Thiem
- Department of Geriatrics, Immanuel Albertinen Diakonie, Albertinen-Haus, Hamburg, Germany
- University Clinic Eppendorf, Hamburg, Germany
| | - Paul P. Glasziou
- Faculty of Health Sciences and Medicine, Bond University, Robina, QLD, Australia
| | - Walter E. Haefeli
- Department of Clinical Pharmacology and Pharmacoepidemiology, Heidelberg University Hospital, Heidelberg, Germany
| | - Christiane Muth
- Institute of General Practice, Goethe University Frankfurt, Frankfurt am Main, Germany
- Department of General Practice and Family Medicine, Medical Faculty East-Westphalia, University of Bielefeld, Bielefeld, Germany
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16
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De Luca V, Femminella GD, Patalano R, Formosa V, Lorusso G, Rivetta C, Di Lullo F, Mercurio L, Rea T, Salvatore E, Korkmaz Yaylagul N, Apostolo J, Silva RC, Dantas C, van Staalduinen WH, Liotta G, Iaccarino G, Triassi M, Illario M. Assessment Tools of Biopsychosocial Frailty Dimensions in Community-Dwelling Older Adults: A Narrative Review. INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH 2022; 19:16050. [PMID: 36498125 PMCID: PMC9739796 DOI: 10.3390/ijerph192316050] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 10/19/2022] [Revised: 11/21/2022] [Accepted: 11/29/2022] [Indexed: 06/17/2023]
Abstract
Frailty is a complex interplay between several factors, including physiological changes in ageing, multimorbidities, malnutrition, living environment, genetics, and lifestyle. Early screening for frailty risk factors in community-dwelling older people allows for preventive interventions on the clinical and social determinants of frailty, which allows adverse events to be avoided. By conducting a narrative review of the literature employing the International Narrative Systematic Assessment tool, the authors aimed to develop an updated framework for the main measurement tools to assess frailty risks in older adults, paying attention to use in the community and primary care settings. This search focused on the biopsychosocial domains of frailty that are covered in the SUNFRAIL tool. The study selected 178 reviews (polypharmacy: 20; nutrition: 13; physical activity: 74; medical visits: 0; falls: 39; cognitive decline: 12; loneliness: 15; social support: 5; economic constraints: 0) published between January 2010 and December 2021. Within the selected reviews, 123 assessment tools were identified (polypharmacy: 15; nutrition: 15; physical activity: 25; medical visits: 0; falls: 26; cognitive decline: 18; loneliness: 9; social support: 15; economic constraints: 0). The narrative review allowed us to evaluate assessment tools of frailty domains to be adopted for multidimensional health promotion and prevention interventions in community and primary care.
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Affiliation(s)
- Vincenzo De Luca
- Dipartimento di Sanità Pubblica, Università degli Studi di Napoli Federico II, 80131 Napoli, Italy
| | - Grazia Daniela Femminella
- Dipartimento di Scienze Mediche Traslazionali, Università degli Studi di Napoli Federico II, 80131 Napoli, Italy
| | - Roberta Patalano
- Dipartimento di Medicina Clinica e Chirurgia, Università degli Studi di Napoli Federico II, 80131 Napoli, Italy
| | - Valeria Formosa
- Specializzazione in Igiene e Medicina Preventiva, Università degli Studi di Roma Tor Vergata, 00133 Roma, Italy
| | - Grazia Lorusso
- Specializzazione in Igiene e Medicina Preventiva, Università degli Studi di Roma Tor Vergata, 00133 Roma, Italy
| | - Cristiano Rivetta
- Specializzazione in Igiene e Medicina Preventiva, Università degli Studi di Roma Tor Vergata, 00133 Roma, Italy
| | - Federica Di Lullo
- Specializzazione in Igiene e Medicina Preventiva, Università degli Studi di Roma Tor Vergata, 00133 Roma, Italy
| | - Lorenzo Mercurio
- Dipartimento di Sanità Pubblica, Università degli Studi di Napoli Federico II, 80131 Napoli, Italy
| | - Teresa Rea
- Dipartimento di Sanità Pubblica, Università degli Studi di Napoli Federico II, 80131 Napoli, Italy
| | - Elena Salvatore
- Dipartimento di Scienze Biomediche Avanzate, Università degli Studi di Napoli Federico II, 80131 Napoli, Italy
| | | | - Joao Apostolo
- Health Sciences Research Unit: Nursing (UICISA:E), Nursing School of Coimbra (ESEnfC), Avenida Bissaya Barreto, 3004-011 Coimbra, Portugal
| | - Rosa Carla Silva
- Health Sciences Research Unit: Nursing (UICISA:E), Nursing School of Coimbra (ESEnfC), Avenida Bissaya Barreto, 3004-011 Coimbra, Portugal
| | | | | | - Giuseppe Liotta
- Dipartimento di Biomedicina e Prevenzione, Università degli Studi di Roma Tor Vergata, 00133 Roma, Italy
| | - Guido Iaccarino
- Dipartimento di Scienze Biomediche Avanzate, Università degli Studi di Napoli Federico II, 80131 Napoli, Italy
| | - Maria Triassi
- Dipartimento di Sanità Pubblica, Università degli Studi di Napoli Federico II, 80131 Napoli, Italy
| | - Maddalena Illario
- Dipartimento di Sanità Pubblica, Università degli Studi di Napoli Federico II, 80131 Napoli, Italy
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17
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Chen B, Wang M, He Q, Wang Y, Lai X, Chen H, Li M. Impact of frailty, mild cognitive impairment and cognitive frailty on adverse health outcomes among community-dwelling older adults: A systematic review and meta-analysis. Front Med (Lausanne) 2022; 9:1009794. [PMID: 36388900 PMCID: PMC9659908 DOI: 10.3389/fmed.2022.1009794] [Citation(s) in RCA: 11] [Impact Index Per Article: 3.7] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/13/2022] [Accepted: 10/11/2022] [Indexed: 11/30/2022] Open
Abstract
Aims This study analyzes the impact of frailty, mild cognitive impairment, and cognitive frailty on adverse outcomes in community-dwelling older adults. Methods This systematic review and meta-analysis were conducted using the PRISMA guidelines and MOOSE statement. We developed a specific search strategy for each electronic database and searched PubMed, Web of Science, MEDLINE, and Embase from initial records to July 2021. The studies on adverse outcomes of frailty, pre-frailty, mild cognitive impairment, and mild cognitive impairment with pre-frailty and cognitive frailty were included. Two researchers independently extracted data based on a spreadsheet and assessed the risk of bias. The primary outcomes were mortality, dementia, disability, and hospitalization. The second outcome included quality of life and falls. All analysis was conducted by using Review Manager (RevMan) 5.3 software. Results A total of 22 cohort studies (71,544 older adults with mean age ranging from 65.1 to 93.6 years) were included with a low risk of bias and high methodological quality with a NOS score ≥7. Compared to robust elders, individuals identified as frailty were associated with a higher risk of mortality (RR = 2.11, 95% CI: 1.57–2.83) and disability (RR = 5.91, 95% CI: 2.37–14.74). Mild cognitive impairment with pre-frailty was associated with mortality (RR = 1.74, 95% CI: 1.48–2.05) and dementia (RR = 4.15, 95% CI: 1.87–9.20). Pre-frailty was associated with a higher risk of mortality (RR = 1.29, 95% CI: 1.11–1.50). Cognitive frailty was associated with higher risk of incident mortality (RR = 2.41, 95% CI: 1.97–2.94), dementia (RR = 3.67, 95% CI: 2.81–4.78), disability (RR = 11.32, 95% CI: 4.14–30.97), and hospitalization (RR = 2.30, 95% CI: 1.60–3.32), as well as poor quality of life. Conclusion Cognitive frailty could be a comprehensive psychosomatic predictor for adverse outcomes among older people. Interactions between frailty, mild cognitive impairment, and cognitive frailty on adverse outcomes must be further explored. Systematic review registration [https://inplasy.com/inplasy-2022-5-0064/], identifier [INPLASY202250064].
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Affiliation(s)
- Baoyu Chen
- Key Laboratory of Mental Health, Institute of Mental Health, Ministry of Health (Peking University), National Clinical Research Center for Mental Disorders, Peking University Sixth Hospital, Beijing, China
| | - Mingting Wang
- Department of Psychosomatic Medicine, The First Affiliated Hospital of Nanchang University, Nanchang, China
| | - Qin He
- Department of Psychosomatic Medicine, The First Affiliated Hospital of Nanchang University, Nanchang, China
| | - Yong Wang
- Key Laboratory of Mental Health, Institute of Mental Health, Ministry of Health (Peking University), National Clinical Research Center for Mental Disorders, Peking University Sixth Hospital, Beijing, China
| | - Xiaoxing Lai
- Peking Union Medical College Hospital, Beijing, China
| | - Hongguang Chen
- Key Laboratory of Mental Health, Institute of Mental Health, Ministry of Health (Peking University), National Clinical Research Center for Mental Disorders, Peking University Sixth Hospital, Beijing, China
- *Correspondence: Hongguang Chen,
| | - Mengqian Li
- Department of Psychosomatic Medicine, The First Affiliated Hospital of Nanchang University, Nanchang, China
- Mengqian Li,
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18
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Hshieh TT, DuMontier C, Jaung T, Bahl NE, Hawley CE, Mozessohn L, Stone RM, Soiffer RJ, Driver JA, Abel GA. Association of Polypharmacy and Potentially Inappropriate Medications With Frailty Among Older Adults With Blood Cancers. J Natl Compr Canc Netw 2022; 20:915-923.e5. [PMID: 35948031 PMCID: PMC10106100 DOI: 10.6004/jnccn.2022.7033] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/03/2022] [Accepted: 05/13/2022] [Indexed: 11/17/2022]
Abstract
BACKGROUND Polypharmacy and potentially inappropriate medications (PIMs) are common among older adults with blood cancers, but their association with frailty and how to manage them optimally remain unclear. PATIENTS AND METHODS From 2015 to 2019, patients aged ≥75 years presenting for initial oncology consult underwent screening geriatric assessment. Patients were determined to be robust, prefrail, or frail via deficit accumulation and phenotypic approaches. We quantified each patient's total number of medications and PIMs using the Anticholinergic Risk Scale (ARS) and a scale we generated using the NCCN Medications of Concern called the Geriatric Oncology Potentially Inappropriate Medications (GO-PIM) scale. We assessed cross-sectional associations of PIMs with frailty in multivariable regression models adjusting for age, gender, and comorbidity. RESULTS Of 785 patients assessed, 603 (77%) were taking ≥5 medications and 421 (54%) were taking ≥8 medications; 201 (25%) were taking at least 1 PIM based on the ARS and 343 (44%) at least 1 PIM based on the GO-PIM scale. Among the 468 (60%) patients on active cancer treatment, taking ≥8 medications was associated with frailty (adjusted odds ratio [aOR], 2.82; 95% CI, 1.92-4.17). With each additional medication, the odds of being prefrail or frail increased 8% (aOR, 1.08; 95% CI, 1.04-1.12). With each 1-point increase on the ARS, the odds of being prefrail or frail increased 19% (aOR, 1.19; 95% CI, 1.03-1.39); with each additional PIM based on the GO-PIM scale, the odds increased 65% (aOR, 1.65; 95% CI, 1.34-2.04). CONCLUSIONS Polypharmacy and PIMs are prevalent among older patients with blood cancers; taking ≥8 medications is strongly associated with frailty. These data suggest careful medication reconciliation for this population may be helpful, and deprescribing when possible is high-yield, especially for PIMs on the GO-PIM scale.
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Affiliation(s)
- Tammy T Hshieh
- Division of Aging, Department of Medicine, Brigham and Women's Hospital, Boston, Massachusetts
- Harvard Medical School, Boston, Massachusetts
| | - Clark DuMontier
- Division of Aging, Department of Medicine, Brigham and Women's Hospital, Boston, Massachusetts
- Harvard Medical School, Boston, Massachusetts
- New England Geriatric Research Education and Clinical Center, Bedford, Massachusetts
| | - Timothy Jaung
- New England Geriatric Research Education and Clinical Center, Bedford, Massachusetts
| | - Nupur E Bahl
- New England Geriatric Research Education and Clinical Center, Bedford, Massachusetts
| | - Chelsea E Hawley
- New England Geriatric Research Education and Clinical Center, Bedford, Massachusetts
| | - Lee Mozessohn
- Sunnybrook Health Sciences Centre, Toronto, Ontario, Canada; and
| | - Richard M Stone
- Harvard Medical School, Boston, Massachusetts
- Department of Medical Oncology, Dana-Farber Cancer Institute, Boston, Massachusetts
| | - Robert J Soiffer
- Harvard Medical School, Boston, Massachusetts
- Department of Medical Oncology, Dana-Farber Cancer Institute, Boston, Massachusetts
| | - Jane A Driver
- Division of Aging, Department of Medicine, Brigham and Women's Hospital, Boston, Massachusetts
- Harvard Medical School, Boston, Massachusetts
- Department of Medical Oncology, Dana-Farber Cancer Institute, Boston, Massachusetts
| | - Gregory A Abel
- Harvard Medical School, Boston, Massachusetts
- Department of Medical Oncology, Dana-Farber Cancer Institute, Boston, Massachusetts
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