38 research outputs found

    Data_Sheet_1_Association of intrinsic capacity with functional ability, sarcopenia and systemic inflammation in pre-frail older adults.docx

    No full text
    BackgroundDecline in intrinsic capacity (IC) has been shown to accelerate progression to disability. The study aims to explore association of IC composite score with functional ability, sarcopenia and systemic inflammation in pre-frail older adults.MethodsCross-sectional study of pre-frail older adults ≄60 years old recruited from the community and primary care centers. Composite scores of four domains of IC were measured: locomotion, vitality, cognition and psychological. FRAIL scale was used to define pre-frailty. Muscle mass was measured using the bioelectrical impedance analysis. Systemic inflammation biomarkers [Interleukin-6 (IL-6), Interleukin-10 (IL-10), Tumor Necrosis Factor Alpha (TNF-α), and Growth differentiated factor 15 (GDF-15)] were measured. Participants in the lowest tertile (T1) exhibited greater decline in IC.ResultsA total of 398 pre-frail older adults were recruited, mean age was 72.7 ± 5.8 years, 60.1% female, education level 7.8 years, and 85.2% were of Chinese ethnicity. A total of 75.1% had decline in locomotion, 40.5% in vitality, 53.2% in cognition and 41.7% in psychological domain. A total of 95% had decline in at least one domain. T1 was significantly associated with ADL impairment (aOR 3.36, 95% CI 1.78–6.32), IADL impairment (aOR 2.37, 95% CI 1.36–4.13), poor perceived health (aOR 0.96, 95% CI 0.95–0.98), fall (aOR 1.63, 95% CI 1.05–2.84), cognitive impairment (aOR 8.21, 95% CI 4.69–14.39), depression (aOR 101.82, 95% CI 33.62–308.37), and sarcopenia (aOR 2.40, 95% CI 1.60–5.45). T1 had significant associations with GDF-15, IL-10, and IL-10 to TNF-α ratio.ConclusionDecline in IC composite score among pre-frail older adults was associated with functional limitation, sarcopenia, and systemic inflammation.</p

    The FiND questionnaire.

    No full text
    <p>If A+B≄1, the individual is considered as “disabled”.</p><p>If A+B = 0 and C+D+E≄1, the individual is considered as “frail”.</p><p>If A+B+C+D+E = 0, the individual is considered as “robust”.</p

    Baseline subject characteristics.

    No full text
    <p>Data shown as mean ± standard deviation. Education is presented in years. ADNI subset refers to the group of reverters and later converters which were used for validation of the model but were not included in the training of the model. AD = Alzheimer’s disease, MCI = Mild Cognitive Impairment, CTL = healthy control, MMSE = Mini Mental State Examination. CDR-SOB – Clinical Dementia Rating – Sum Of Boxes.</p

    Distribution of the ORCHID (Ordinal Regression Characteristic Index of Dementia) score extracted from for the ADNI dataset representing the disease progressive continuum spanning CTL to MCI-s to MCI-c to AD.

    No full text
    <p>The lower portion of each plot represents the distributions for the CTL class (green) and the AD class (red). (a) represents the distribution of subjects with unstable labels across follow-ups, most of which appear to belong to either the CTL or MCI-s classes (N = 24). (b) represents the distribution of those who convert to AD by 12 month follow-up (N = 62) (i.e. MCI-c: the sample used for training and testing the ADNI-based ORGP model). (c) represents the distribution of those who convert to AD between the 12 and 24 month follow-up (N = 58). (d) represents the distribution of those who convert to AD between the 24 and 36 month follow-up (N = 29).</p

    Performance curves and correlation plots for ordinal regression.

    No full text
    <p>(A): ROC curves for ordinal regression applied to the ADNI data set using 10-fold cross-validation (first panel) and using the AddNeuroMed data set as an independent test set. In both cases the ROC curves are shown from three contrasts. (B): Correlation plots of the MMSE score assessed at the 12 month follow-up against the Ordinal Regression Characteristic Index of Dementia (ORCHID) score for both the ADNI dataset and the AddNeuroMed dataset.</p

    Multivariate discriminative weights computed using ordinal regression.

    No full text
    <p>For ordinal regression the weights can be interpreted as the projection of the data along the function space weight vector spanning CTL to MCI-s to MCI-s to AD. Note that the weights are symmetric across hemispheres. These weights are sensitive the spatial correlations in the data and therefore should not be interpreted in a univariate manner.</p

    Visual assessment of the medial temporal lobe atrophy was performed on a single MR-slice posterior to the amygdala and the mamillary bodies.

    No full text
    <p>The was positioned so the hippocampus, the pons and the cerebral peduncles were all visible. The visual assessment included hippocampus proper, dentate gyrus, subiculum, parahippocampal gyrus, entorhinal cortex and surrounding CSF spaces such as temporal horn and choroid fissure. The right and left side were rated separately. Scores range from 0 (no atrophy) to 4 (end stage atrophy).</p
    corecore