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      Early diagnosis of mild cognitive impairment and mild dementia through basic and instrumental activities of daily living: Development of a new evaluation tool

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          There is no author summary for this article yet. Authors can add summaries to their articles on ScienceOpen to make them more accessible to a non-specialist audience.

          Abstract

          Background

          Assessment of activities of daily living (ADL) is paramount to determine impairment in everyday functioning and to ensure accurate early diagnosis of neurocognitive disorders. Unfortunately, most common ADL tools are limited in their use in a diagnostic process. This study developed a new evaluation by adopting the items of the Katz Index (basic [b-] ADL) and Lawton Scale (instrumental [i-] ADL), defining them with the terminology of the International Classification of Human Functioning, Disability and Health (ICF), adding the scoring system of the ICF, and adding the possibility to identify underlying causes of limitations in ADL.

          Methods and findings

          The construct validity, interrater reliability, and discriminative validity of this new evaluation were determined. From 2015 until 2016, older persons (65–93 y) with normal cognitive ageing (healthy comparison [HC]) ( n = 79), mild cognitive impairment (MCI) ( n = 73), and Alzheimer disease (AD) ( n = 71) underwent a diagnostic procedure for neurocognitive disorders at the geriatric day hospital of the Universitair Ziekenhuis Brussel (Brussels, Belgium). Additionally, the ICF-based evaluation for b- and i-ADL was carried out. A global disability index (DI), a cognitive DI (CDI), and a physical DI (PDI) were calculated. The i-ADL-CDI showed high accuracy and higher discriminative power than the Lawton Scale in differentiating HC and MCI (area under the curve [AUC] = 0.895, 95% CI .840–.950, p = .002), MCI and AD (AUC = 0.805, 95% CI .805–.734, p = .010), and HC and AD (AUC = 0.990, 95% CI .978–1.000, p < .001). The b-ADL-DI showed significantly better discriminative accuracy than the Katz Index in differentiating HC and AD (AUC = 0.828, 95% CI .759–.897, p = .039). This study was conducted in a clinically relevant sample. However, heterogeneity between HC, MCI, and AD and the use of different methods of reporting ADL might limit this study.

          Conclusions

          This evaluation of b- and i-ADL can contribute to the diagnostic differentiation between cognitively healthy ageing and neurocognitive disorders in older age. This evaluation provides more clarity and nuance in assessing everyday functioning by using an ICF-based terminology and scoring system. Also, the possibility to take underlying causes of limitations into account seems to be valuable since it is crucial to determine the extent to which cognitive decline is responsible for functional impairment in diagnosing neurocognitive disorders. Though further prospective validation is still required, the i-ADL-CDI might be useful in clinical practice since it identifies impairment in i-ADL exclusively because of cognitive limitations.

          Abstract

          Elise Cornelis and colleagues describe the development of a new evaluation tool for early diagnosis of mild cognitive impairment and mild dementia through basic and instrumental activities of daily living.

          Author summary

          Why was this study done?
          • Mild cognitive impairment (MCI) is seen as a transitional zone between normal aging and dementia.

          • Assessment of activities of daily living (ADL) is paramount to underpin accurate diagnostic classification in MCI and dementia.

          • Unfortunately, most common report-based ADL tools have limitations for diagnostic purposes.

          • We set out to develop and validate a new tool to evaluate basic (b-; activities including personal hygiene, dressing, and eating) and instrumental (i-; cooking, shopping, and managing medication) ADL in an older population with cognitive disorders.

          What did the researchers do and find?
          • We developed a tool based on the framework of the International Classification of Functioning, Disability and Health (ICF).

          • A global disability index (DI), a Cognitive DI (CDI) (a disability index taking into account solely activities impaired because of cognitive reasons), and a Physical DI (PDI) (a disability index taking into account solely activities impaired because of physical reasons) were calculated for both b- and i-ADL, based on the number of activities performed and the severity and causes of the functional problem.

          • 223 community-dwelling older persons diagnosed as (1) cognitively healthy participants ( n = 79), (2) patients with MCI ( n = 73), or (3) mild to moderate dementia ( n = 71) were included and underwent the new ICF-based evaluation of b- and i-ADL.

          • The i-ADL-CDI showed high accuracy and discriminative power in differentiating healthy comparisons (HC), MCI, and AD, and the b-ADL-DI showed high discriminative accuracy in differentiating HC and AD.

          What do these findings mean?
          • The new ICF-based evaluation of b- and i-ADL showed a good ability to distinguish normal and pathological cognitive aging and might enable the diagnosis of MCI and mild dementia.

          • The discriminative power of the ICF-based evaluation of b- and i-ADL for underlying causes of limitations is an advantage.

          • Since an evaluation of ADL is experienced as less invasive by older persons, this evaluation offers directions for clinical use in diagnosing cognitive disorders and might offer possibilities for clinical treatment, rehabilitation, advising, and coaching.

          • This study was conducted in a clinically relevant sample at a geriatric day hospital. However, heterogeneity in the participants might limit this study.

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          Most cited references76

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          ICF linking rules: an update based on lessons learned.

          Outcome research seeks to understand the end results of health services. Researchers use a wide variety of outcome measures including technical, clinical and patient-oriented measures. The International Classification of Functioning, Disability and Health (ICF) as a common reference framework for functioning may contribute to improved outcome research. The objective of this paper is to provide an updated version of the linking rules published in 2002 and illustrate how these rules are applied to link technical and clinical measures, health-status measures and interventions to the ICF. Three specific linking rules have been established to link health-status measures to the ICF and one specific linking rule has been created to link technical and clinical measures and interventions. A total of 8 linking rules have been established for use with all different outcome measures and with interventions. The newly updated linking rules will allow researchers systematically to link and compare meaningful concepts contained in them. This should prove extremely useful in selecting the most appropriate outcome measures among a number of candidate measures for the applied interventions. Further possible applications are the operationalization of concrete ICF categories using specific measures or the creation of ICF category-based item bankings.
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            Nonpharmacological Therapies in Alzheimer’s Disease: A Systematic Review of Efficacy

            Introduction: Nonpharmacological therapies (NPTs) can improve the quality of life (QoL) of people with Alzheimer’s disease (AD) and their carers. The objective of this study was to evaluate the best evidence on the effects of NPTs in AD and related disorders (ADRD) by performing a systematic review and meta-analysis of the entire field. Methods: Existing reviews and major electronic databases were searched for randomized controlled trials (RCTs). The deadline for study inclusion was September 15, 2008. Intervention categories and outcome domains were predefined by consensus. Two researchers working together detected 1,313 candidate studies of which 179 RCTs belonging to 26 intervention categories were selected. Cognitive deterioration had to be documented in all participants, and degenerative etiology (indicating dementia) had to be present or presumed in at least 80% of the subjects. Evidence tables, meta-analysis and summaries of results were elaborated by the first author and reviewed by author subgroups. Methods for rating level of evidence and grading practice recommendations were adapted from the Oxford Center for Evidence-Based Medicine. Results: Grade A treatment recommendation was achieved for institutionalization delay (multicomponent interventions for the caregiver, CG). Grade B recommendation was reached for the person with dementia (PWD) for: improvement in cognition (cognitive training, cognitive stimulation, multicomponent interventions for the PWD); activities of daily living (ADL) (ADL training, multicomponent interventions for the PWD); behavior (cognitive stimulation, multicomponent interventions for the PWD, behavioral interventions, professional CG training); mood (multicomponent interventions for the PWD); QoL (multicomponent interventions for PWD and CG) and restraint prevention (professional CG training); for the CG, grade B was also reached for: CG mood (CG education, CG support, multicomponent interventions for the CG); CG psychological well-being (cognitive stimulation, multicomponent interventions for the CG); CG QoL (multicomponent interventions for PWD and CG). Conclusion: NPTs emerge as a useful, versatile and potentially cost-effective approach to improve outcomes and QoL in ADRD for both the PWD and CG.
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              Measurement in neurological rehabilitation.

              The measurement of impairment and disability can improve patient care and is now essential in clinical audit. Practical, useful measures are slowly being developed, both for use in specific diseases and for more general use. This review discusses both new measures and new work on more well-established measures.
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                Author and article information

                Contributors
                Role: Academic Editor
                Journal
                PLoS Med
                PLoS Med
                plos
                plosmed
                PLoS Medicine
                Public Library of Science (San Francisco, CA USA )
                1549-1277
                1549-1676
                14 March 2017
                March 2017
                : 14
                : 3
                : e1002250
                Affiliations
                [1 ]Department of Geriatrics, Universitair Ziekenhuis Brussel, Brussels, Belgium
                [2 ]Frailty in Ageing Research Group (FRIA), Vrije Universiteit Brussel, Brussels, Belgium
                [3 ]Department of Occupational Therapy, Artevelde University College Ghent, Ghent, Belgium
                [4 ]Department of Gerontology (GERO), Vrije Universiteit Brussel, Brussels, Belgium
                University of Cambridge, UNITED KINGDOM
                Author notes

                The authors have declared that no competing interests exist.

                • Conceptualization: EC EG PDV.

                • Formal analysis: EC EG IBe PDV.

                • Funding acquisition: EC.

                • Investigation: EC IBa.

                • Methodology: EC EG IBe IBa PDV.

                • Resources: EC EG IBa IBe.

                • Supervision: EG PDV.

                • Validation: EC EG PDV.

                • Visualization: EC.

                • Writing – original draft: EC.

                • Writing – review & editing: EC EG IBe IBa PDV.

                Author information
                http://orcid.org/0000-0001-5341-5339
                http://orcid.org/0000-0002-5418-7048
                http://orcid.org/0000-0002-6820-9586
                http://orcid.org/0000-0003-4861-7838
                Article
                PMEDICINE-D-16-03264
                10.1371/journal.pmed.1002250
                5349421
                28291801
                1527b521-a66d-49a5-b71d-7f4a206f8e24
                © 2017 Cornelis et al

                This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.

                History
                : 7 October 2016
                : 2 February 2017
                Page count
                Figures: 1, Tables: 7, Pages: 22
                Funding
                Funded by: Wetenschappelijk Fonds Willy Gepts, Universitair Ziekenhuis Brussel, Belgium
                Award Recipient :
                This study was partly funded by Wetenschappelijk Fonds Willy Gepts, Universitair Ziekenhuis Brussel, Belgium. EC received this funding. The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript.
                Categories
                Research Article
                Biology and Life Sciences
                Neuroscience
                Cognitive Science
                Cognitive Neuroscience
                Cognitive Neurology
                Cognitive Impairment
                Biology and Life Sciences
                Neuroscience
                Cognitive Neuroscience
                Cognitive Neurology
                Cognitive Impairment
                Medicine and Health Sciences
                Neurology
                Cognitive Neurology
                Cognitive Impairment
                Medicine and Health Sciences
                Mental Health and Psychiatry
                Dementia
                Alzheimer Disease
                Medicine and Health Sciences
                Neurology
                Dementia
                Alzheimer Disease
                Medicine and Health Sciences
                Neurology
                Neurodegenerative Diseases
                Alzheimer Disease
                Medicine and Health Sciences
                Mental Health and Psychiatry
                Dementia
                Medicine and Health Sciences
                Neurology
                Dementia
                Medicine and Health Sciences
                Diagnostic Medicine
                Medicine and Health Sciences
                Geriatrics
                Biology and Life Sciences
                Psychology
                Psychometrics
                Social Sciences
                Psychology
                Psychometrics
                Medicine and Health Sciences
                Diagnostic Medicine
                Alzheimer Disease Diagnosis and Management
                Biology and Life Sciences
                Neuroscience
                Cognitive Science
                Cognition
                Custom metadata
                All relevant data are within the paper and its Supporting Information files.

                Medicine
                Medicine

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