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      Prospective longitudinal study of frailty transitions in a community-dwelling cohort of older adults with cognitive impairment

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          Abstract

          Background

          Frailty and cognitive impairment are seemingly distinct syndromes, but have a shared vulnerability to stress in older adults, resulting in poorer outcomes. Although there has been recent interest in cognitive frailty, frailty transitions in relation to cognitive deterioration in older adults with cognitive impairment have not yet been well studied. We thus aim to study frailty transitions and change in cognitive status over 1-year follow-up among subjects with cognitive impairment attending a tertiary Memory Clinic.

          Methods

          This is a prospective cohort study of mild cognitive impairment (MCI) and mild-moderate Alzheimer’s disease (AD) community-dwelling subjects. We obtained data on clinical measures, muscle mass and physical performance measures. Cognitive status was measured using Chinese Mini-Mental State Examination (CMMSE) and Clinical Dementia Rating-Sum of Boxes (CDR-SB) scores. We measured gait speed, hand grip strength, exhaustion and weight loss at baseline, 6 and 12 months to classify subjects according to the modified Fried criteria (involving strength, gait speed, body composition and fatigue) into non-frail (<2 frail categories) and frail categories (≥2 frail categories). Frailty transitions between baseline and 12-months were assessed. We performed random effects statistical modelling to ascertain baseline predictors of longitudinal frailty scores for all subjects and within MCI subgroup.

          Results

          Among 122 subjects comprising 41 MCI, 67 mild and 14 moderate AD, 43.9, 35.8 and 57.1 % were frail at baseline respectively. Frailty status regressed in 32.0 %, remained unchanged in 36.0 %, and progressed in 32.0 % at 12 months. Random effects modelling on whole group showed longitudinal CDR-SB scores (coeff 0.09, 95 % confidence interval (CI) 0.03–0.15) and age (coeff 0.04, 95 % CI 0.02–0.07) to be significantly associated with longitudinal frailty score. Among MCI subjects, only female gender (coeff 1.28, 95 % CI 0.21–2.36) was associated with longitudinal frailty score, while mild-moderate AD subjects showed similar results as those of the whole group.

          Conclusions

          This is the first study to show longitudinal frailty state transitions in cognitively-impaired older adults. Frailty transitions appear to be independent of progression in cognitive status in earliest stages of cognitive impairment, while mild-moderate AD subjects showed associations with age and cognitive deterioration. The potential for cognitive frailty as a separate therapeutic entity for future physical frailty prevention requires further research with a suitably powered study over a longer follow-up period.

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          Most cited references25

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          Diagnostic and statistical manual of mental disorders.

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            A new rating scale for age-related white matter changes applicable to MRI and CT.

            MRI is more sensitive than CT for detection of age-related white matter changes (ARWMC). Most rating scales estimate the degree and distribution of ARWMC either on CT or on MRI, and they differ in many aspects. This makes it difficult to compare CT and MRI studies. To be able to study the evolution and possible effect of drug treatment on ARWMC in large patient samples, it is necessary to have a rating scale constructed for both MRI and CT. We have developed and evaluated a new scale and studied ARWMC in a large number of patients examined with both MRI and CT. Seventy-seven patients with ARWMC on either CT or MRI were recruited and a complementary examination (MRI or CT) performed. The patients came from 4 centers in Europe, and the scans were rated by 4 raters on 1 occasion with the new ARWMC rating scale. The interrater reliability was evaluated by using kappa statistics. The degree and distribution of ARWMC in CT and MRI scans were compared in different brain areas. Interrater reliability was good for MRI (kappa=0.67) and moderate for CT (kappa=0.48). MRI was superior in detection of small ARWMC, whereas larger lesions were detected equally well with both CT and MRI. In the parieto-occipital and infratentorial areas, MRI detected significantly more ARWMC than did CT. In the frontal area and basal ganglia, no differences between modalities were found. When a fluid-attenuated inversion recovery sequence was used, MRI detected significantly more lesions than CT in frontal and parieto-occipital areas. No differences were found in basal ganglia and infratentorial areas. We present a new ARWMC scale applicable to both CT and MRI that has almost equal sensitivity, except for certain regions. The interrater reliability was slightly better for MRI, as was the detectability of small lesions.
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              Functional evaluation: the barthel index

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                Author and article information

                Contributors
                (65) 63596251 , Mei_Sian_Chong@ttsh.com.sg
                Laura_Tay@ttsh.com.sg
                Peng_Chew_Chan@ttsh.com.sg
                Wee_shiong_lim@ttsh.com.sg
                ruijing_ye@ttsh.com.sg
                tan.eng.king@sgh.com.sg
                Yew_Yoong_Ding@ttsh.com.sg
                Journal
                BMC Geriatr
                BMC Geriatr
                BMC Geriatrics
                BioMed Central (London )
                1471-2318
                29 December 2015
                29 December 2015
                2015
                : 15
                : 175
                Affiliations
                [ ]Institute of Geriatrics and Active Ageing, Tan Tock Seng Hospital, 11 Jalan Tan Tock Seng, S30843 Singapore, Singapore
                [ ]Department of Geriatric Medicine, Tan Tock Seng Hospital, 11 Jalan Tan Tock Seng, S308433 Singapore, Singapore
                [ ]Department of Neurology, Singapore General Hospital, Outram Rd, S169608 Singapore, Singapore
                [ ]Duke-NUS Graduate Medical School, 8 College Road, S169857 Singapore, Singapore
                Article
                174
                10.1186/s12877-015-0174-1
                4696312
                26715536
                baa43c76-f1b8-4a13-99c2-26e194f8398d
                © Chong et al. 2015

                Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License ( http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver ( http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated.

                History
                : 11 June 2015
                : 17 December 2015
                Funding
                Funded by: FundRef http://dx.doi.org/10.13039/100007419, Lee Foundation;
                Award ID: 2009
                Funded by: National Healthcare Group Clinician Scientist Career Scheme
                Award ID: 12002
                Award ID: 13001
                Award Recipient :
                Categories
                Research Article
                Custom metadata
                © The Author(s) 2015

                Geriatric medicine
                frailty,transitions,cognitive impairment
                Geriatric medicine
                frailty, transitions, cognitive impairment

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