Abstract
| Original language | English |
|---|---|
| Pages (from-to) | 1236-1248 |
| Number of pages | 13 |
| Journal | American Journal of Geriatric Psychiatry |
| Volume | 25 |
| Issue number | 11 |
| DOIs | |
| Publication status | Published - 2017 |
Keywords
- Alzheimer disease
- cognitive aging
- disablement process
- Frailty
- inflammation
- lifestyle
- fibrinogen
- aged
- all cause mortality
- Article
- dementia
- disability
- female
- follow up
- frailty
- human
- incidence
- Italian (citizen)
- longitudinal study
- major clinical study
- male
- mild cognitive impairment
- mortality
- prevalence
- risk assessment
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Additive Role of a Potentially Reversible Cognitive Frailty Model and Inflammatory State on the Risk of Disability: The Italian Longitudinal Study on Aging. / Solfrizzi, V.; Scafato, E.; Lozupone, M.; Seripa, D.; Giannini, M.; Sardone, R.; Bonfiglio, C.; Abbrescia, D.I.; Galluzzo, L.; Gandin, C.; Baldereschi, M.; Di Carlo, A.; Inzitari, D.; Daniele, A.; Sabbà, C.; Logroscino, G.; Panza, F.; Farchi, G.; Lepore, V.; Livrea, P.; Motta, L.; Carnazzo, G.; Motta, M.; Bentivegna, P.; Bonaiuto, S.; Cruciani, G.; Postacchini, D.; Amaducci, L.; Gandolfo, C.; Conti, M.; Canal, N.; Franceschi, M.; Scarlato, G.; Candelise, L.; Scapini, E.; Rengo, F.; Abete, P.; Cacciatore, F.; Enzi, G.; Battistin, L.; Sergi, G.; Crepaldi, G.; Maggi, S.; Minicucci, N.; Noale, M.; Grigoletto, F.; Perissinotto, E.; Carbonin, P.
In: American Journal of Geriatric Psychiatry, Vol. 25, No. 11, 2017, p. 1236-1248.Research output: Contribution to journal › Article › peer-review
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TY - JOUR
T1 - Additive Role of a Potentially Reversible Cognitive Frailty Model and Inflammatory State on the Risk of Disability: The Italian Longitudinal Study on Aging
AU - Solfrizzi, V.
AU - Scafato, E.
AU - Lozupone, M.
AU - Seripa, D.
AU - Giannini, M.
AU - Sardone, R.
AU - Bonfiglio, C.
AU - Abbrescia, D.I.
AU - Galluzzo, L.
AU - Gandin, C.
AU - Baldereschi, M.
AU - Di Carlo, A.
AU - Inzitari, D.
AU - Daniele, A.
AU - Sabbà, C.
AU - Logroscino, G.
AU - Panza, F.
AU - Farchi, G.
AU - Lepore, V.
AU - Livrea, P.
AU - Motta, L.
AU - Carnazzo, G.
AU - Motta, M.
AU - Bentivegna, P.
AU - Bonaiuto, S.
AU - Cruciani, G.
AU - Postacchini, D.
AU - Amaducci, L.
AU - Gandolfo, C.
AU - Conti, M.
AU - Canal, N.
AU - Franceschi, M.
AU - Scarlato, G.
AU - Candelise, L.
AU - Scapini, E.
AU - Rengo, F.
AU - Abete, P.
AU - Cacciatore, F.
AU - Enzi, G.
AU - Battistin, L.
AU - Sergi, G.
AU - Crepaldi, G.
AU - Maggi, S.
AU - Minicucci, N.
AU - Noale, M.
AU - Grigoletto, F.
AU - Perissinotto, E.
AU - Carbonin, P.
N1 - Cited By :3 Export Date: 9 April 2018 CODEN: AJGPE Correspondence Address: Panza, F.; University of Bari Aldo Moro, Basic Medicine, Neuroscience, and Sense Organs, Neurodegenerative Disease Unit, Policlinico, Piazza Giulio Cesare 11, Italy; email: geriat.dot@geriatria.uniba.it Chemicals/CAS: fibrinogen, 9001-32-5 References: Fried, L.P., Tangen, C.M., Walston, J., Frailty in older adults: evidence for a phenotype (2001) J Gerontol A Biol Sci Med Sci, 56, pp. M146-M156; Clegg, A., Young, J., Iliffe, S., Frailty in elderly people (2013) Lancet, 381, pp. 752-762; Eeles, E.M., White, S.V., O'Mahony, S.M., The impact of frailty and delirium on mortality in older inpatients (2012) Age Ageing, 41, pp. 412-416; Panza, F., Solfrizzi, V., Barulli, M.R., Cognitive frailty: a systematic review of epidemiological and neurobiological evidence of an age-related clinical condition (2015) Rejuve Res, 18, pp. 389-412; Panza, F., Seripa, D., Solfrizzi, V., Targeting cognitive frailty: clinical and neurobiological roadmap for a single complex phenotype (2015) J Alzheimers Dis, 47, pp. 793-813; Solfrizzi, V., Scafato, E., Frisardi, V., Frailty syndrome and all-cause mortality in demented patients: the Italian Longitudinal Study on Aging (2012) Age (Dordr), 34, pp. 507-517; Buchman, A.S., Boyle, P.A., Wilson, R.S., Frailty is associated with incident Alzheimer's disease and cognitive decline in the elderly (2007) Psychosom Med, 69, pp. 483-489; Boyle, P.A., Buchman, A.S., Wilson, R.S., Physical frailty is associated with incident mild cognitive impairment in community-based older persons (2010) J Am Geriatr Soc, 58, pp. 248-255; Solfrizzi, V., Scafato, E., Frisardi, V., Frailty syndrome and the risk of vascular dementia: the Italian Longitudinal Study on Aging (2013) Alzheimers Dement, 9, pp. 113-122; Gray, S.L., Anderson, M.L., Hubbard, R.A., Frailty and incident dementia (2013) J Gerontol A Biol Sci Med Sci, 68, pp. 1083-1090; Buchman, A.S., Schneider, J.A., Leurgans, S., Physical frailty in older persons is associated with Alzheimer disease pathology (2008) Neurology, 71, pp. 499-504; Kojima, G., Taniguchi, Y., Iliffe, S., Frailty as a predictor of Alzheimer disease, vascular dementia, and all dementia among community-dwelling older people: a systematic review and meta-analysis (2016) J Am Med Dir Assoc, 17, pp. 881-888; Kelaiditi, E., Cesari, M., Canevelli, M., Cognitive frailty: rational and definition from an (I.A.N.A./I.A.G.G.) international consensus group (2013) J Nutr Health Aging, 17, pp. 726-734; Ruan, Q., Yu, Z., Chen, M., Cognitive frailty, a novel target for the prevention of elderly dependency (2015) Ageing Res Rev, 20, pp. 1-10; Jessen, F., Amariglio, R.E., van Boxtel, M., A conceptual framework for research on subjective cognitive decline in preclinical Alzheimer's disease (2014) Alzheimers Dement, 10, pp. 844-852; Ávila-Funes, J.A., Amieva, H., Barberger-Gateau, P., Cognitive impairment improves the predictive validity of the phenotype of frailty for adverse health outcomes: the Three-City Study (2009) J Am Geriatr Soc, 57, pp. 453-461; Cano, C., Samper-Ternent, R., Al Snih, S., Frailty and cognitive impairment as predictors of mortality in older Mexican Americans (2012) J Nutr Health Aging, 16, pp. 142-147; Forti, P., Maioli, F., Lega, M.V., Combination of the clock drawing test with the physical phenotype of frailty for the prediction of mortality and other adverse outcomes in older community dwellers without dementia (2014) Gerontology, 60, pp. 204-211; Shimada, H., Makizako, H., Lee, S., Impact of cognitive frailty on daily activities in older persons (2016) J Nutr Health Aging, 20, pp. 729-735; Roppolo, M., Mulasso, A., Rabaglietti, E., Cognitive frailty in Italian community-dwelling older adults: prevalence rate and its association with disability (2017) J Nutr Health Aging, 21, pp. 631-636; Feng, L., Zin Nyunt, M.S., Gao, Q., Cognitive frailty and adverse health outcomes: findings from the Singapore Longitudinal Ageing Studies (SLAS) (2017) J Am Med Dir Assoc, 18, pp. 252-258; Montero-Odasso, M.M., Barnes, B., Speechley, M., Disentangling cognitive-frailty: results from the Gait and Brain Study (2016) J Gerontol A Biol Sci Med Sci, 71, pp. 1476-1482; Feng, L., Nyunt, M.S., Gao, Q., Physical frailty, cognitive impairment and the risk of dementia in the Singapore Longitudinal Ageing Studies (SLAS) (2017) J Gerontol A Biol Sci Med Sci, 72, pp. 369-375; Solfrizzi, V., Scafato, E., Seripa, D., Reversible cognitive frailty, dementia, and all-cause mortality. 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(2013) Lancet Neurol, 12, pp. 933-935; Panza, F., D'Introno, A., Colacicco, A.M., Cognitive frailty: predementia syndrome and vascular risk factors (2006) Neurobiol Aging, 27, pp. 933-940; Shimada, H., Makizako, H., Doi, T., Combined prevalence of frailty and mild cognitive impairment in a population of elderly Japanese people (2013) J Am Med Dir Assoc, 14, pp. 518-524; Verghese, J., Annweiler, C., Ayers, E., Motoric cognitive risk syndrome: multicountry prevalence and dementia risk (2014) Neurology, 83, pp. 718-726; Soysal, P., Stubbs, B., Lucato, P., Inflammation and frailty in the elderly: a systematic review and meta-analysis (2016) Ageing Res Rev, 31, pp. 1-8; Wilson, C.J., Finch, C.E., Cohen, H.J., Cytokines and cognition—the case for a head-to-toe inflammatory paradigm (2001) J Am Geriatr Soc, 50, pp. 2041-2056; Engelhart, M.J., Geerlings, M.I., Meijer, J., Inflammatory proteins in plasma and the risk of dementia: the Rotterdam study (2004) Arch Neurol, 61, pp. 668-672; Snejdrlova, M., Kalvach, Z., Topinkova, E., APOE polymorphism as a potential determinant of functional fitness in the elderly regardless of nutritional status (2011) Neuroendocrinol Lett, 32, pp. 51-54; van de Rest, O., van der Zwaluw, N.L., Tieland, M., Effect of resistance-type exercise training with or without protein supplementation on cognitive functioning in frail and pre-frail elderly: secondary analysis of a randomized, double-blind, placebo-controlled trial (2014) Mech Ageing Dev, 136-137, pp. 85-93; Langlois, F., Vu, T.T., Chassé, K., Benefits of physical exercise training on cognition and quality of life in frail older adults (2013) J Gerontol B Psychol Sci Soc Sci, 68, pp. 400-404
PY - 2017
Y1 - 2017
N2 - Objective Cognitive frailty is a condition recently defined by operationalized criteria describing the simultaneous presence of physical frailty and mild cognitive impairment (MCI). Two subtypes for this clinical construct have been proposed: “potentially reversible” cognitive frailty (physical frailty plus MCI) and “reversible” cognitive frailty (physical frailty plus pre-MCI subjective cognitive decline). Here the prevalence of a potentially reversible cognitive frailty model was estimated. It was also evaluated if introducing a diagnosis of MCI in older subjects with physical frailty could have an additive role on the risk of dementia, disability, and all-cause mortality in comparison with frailty state or MCI condition alone, with analyses separately performed for inflammatory state. Methods In 2,373 individuals from the population-based Italian Longitudinal Study on Aging with a 3.5-year-follow-up, we operationally categorized older individuals without dementia into four groups: non-frail/non-MCI, non-frail/MCI, frail/non-MCI, and frail/MCI. Results The prevalence of potentially reversible cognitive frailty was 1%, increasing with age and more represented in women than in men, and all groups were associated with significant increased incident rate ratios of dementia, disability, and mortality. A significant difference in rates of disability has been found between the MCI and non-MCI groups (contrasts of adjusted predictions: 0.461; 95% confidence interval: 0.187–0.735) in frail individuals with high inflammatory states (fibrinogen >339 mg/dL). Conclusion In older individuals without dementia and with elevated inflammation, a potentially reversible cognitive frailty model could have a significant additional predictive effect on the risk of disability than the single conditions of frailty or MCI. © 2017 American Association for Geriatric Psychiatry
AB - Objective Cognitive frailty is a condition recently defined by operationalized criteria describing the simultaneous presence of physical frailty and mild cognitive impairment (MCI). Two subtypes for this clinical construct have been proposed: “potentially reversible” cognitive frailty (physical frailty plus MCI) and “reversible” cognitive frailty (physical frailty plus pre-MCI subjective cognitive decline). Here the prevalence of a potentially reversible cognitive frailty model was estimated. It was also evaluated if introducing a diagnosis of MCI in older subjects with physical frailty could have an additive role on the risk of dementia, disability, and all-cause mortality in comparison with frailty state or MCI condition alone, with analyses separately performed for inflammatory state. Methods In 2,373 individuals from the population-based Italian Longitudinal Study on Aging with a 3.5-year-follow-up, we operationally categorized older individuals without dementia into four groups: non-frail/non-MCI, non-frail/MCI, frail/non-MCI, and frail/MCI. Results The prevalence of potentially reversible cognitive frailty was 1%, increasing with age and more represented in women than in men, and all groups were associated with significant increased incident rate ratios of dementia, disability, and mortality. A significant difference in rates of disability has been found between the MCI and non-MCI groups (contrasts of adjusted predictions: 0.461; 95% confidence interval: 0.187–0.735) in frail individuals with high inflammatory states (fibrinogen >339 mg/dL). Conclusion In older individuals without dementia and with elevated inflammation, a potentially reversible cognitive frailty model could have a significant additional predictive effect on the risk of disability than the single conditions of frailty or MCI. © 2017 American Association for Geriatric Psychiatry
KW - Alzheimer disease
KW - cognitive aging
KW - disablement process
KW - Frailty
KW - inflammation
KW - lifestyle
KW - fibrinogen
KW - aged
KW - all cause mortality
KW - Article
KW - dementia
KW - disability
KW - female
KW - follow up
KW - frailty
KW - human
KW - incidence
KW - Italian (citizen)
KW - longitudinal study
KW - major clinical study
KW - male
KW - mild cognitive impairment
KW - mortality
KW - prevalence
KW - risk assessment
U2 - 10.1016/j.jagp.2017.05.018
DO - 10.1016/j.jagp.2017.05.018
M3 - Article
VL - 25
SP - 1236
EP - 1248
JO - American Journal of Geriatric Psychiatry
JF - American Journal of Geriatric Psychiatry
SN - 1064-7481
IS - 11
ER -