Literature DB >> 28689645

Additive Role of a Potentially Reversible Cognitive Frailty Model and Inflammatory State on the Risk of Disability: The Italian Longitudinal Study on Aging.

Vincenzo Solfrizzi1, Emanuele Scafato2, Madia Lozupone3, Davide Seripa4, Michele Giannini1, Rodolfo Sardone5, Caterina Bonfiglio5, Daniela I Abbrescia5, Lucia Galluzzo2, Claudia Gandin2, Marzia Baldereschi6, Antonio Di Carlo6, Domenico Inzitari7, Antonio Daniele8, Carlo Sabbà1, Giancarlo Logroscino9, Francesco Panza10.   

Abstract

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.
Copyright © 2017 American Association for Geriatric Psychiatry. Published by Elsevier Inc. All rights reserved.

Entities:  

Keywords:  Alzheimer disease; Frailty; cognitive aging; disablement process; inflammation; lifestyle

Mesh:

Year:  2017        PMID: 28689645     DOI: 10.1016/j.jagp.2017.05.018

Source DB:  PubMed          Journal:  Am J Geriatr Psychiatry        ISSN: 1064-7481            Impact factor:   4.105


  30 in total

1.  Self-Reported Cognitive Frailty Predicts Adverse Health Outcomes for Community-Dwelling Older Adults Based on an Analysis of Sex and Age.

Authors:  M Okura; M Ogita; H Arai
Journal:  J Nutr Health Aging       Date:  2019       Impact factor: 4.075

Review 2.  Multidomain Frailty in Heart Failure: Current Status and Future Perspectives.

Authors:  Shinya Tanaka; Masashi Yamashita; Hiroshi Saito; Kentaro Kamiya; Daichi Maeda; Masaaki Konishi; Yuya Matsue
Journal:  Curr Heart Fail Rep       Date:  2021-04-09

3.  Prevalence of Cognitive Frailty Phenotypes and Associated Factors in a Community-Dwelling Elderly Population.

Authors:  Q Ruan; F Xiao; K Gong; W Zhang; M Zhang; J Ruan; X Zhang; Q Chen; Z Yu
Journal:  J Nutr Health Aging       Date:  2020       Impact factor: 4.075

4.  Development and Validation of a Tool to Screen for Cognitive Frailty among Community-Dwelling Elders.

Authors:  S-H Tseng; L-K Liu; L-N Peng; P-N Wang; C-H Loh; L-K Chen
Journal:  J Nutr Health Aging       Date:  2019       Impact factor: 4.075

5.  The transitions and predictors of cognitive frailty with multi-state Markov model: a cohort study.

Authors:  Manqiong Yuan; Chuanhai Xu; Ya Fang
Journal:  BMC Geriatr       Date:  2022-07-01       Impact factor: 4.070

6.  Cognitive Frailty and Its Association with Nutrition and Depression in Community-Dwelling Older People.

Authors:  R Y C Kwan; A Y M Leung; A Yee; L T Lau; X Y Xu; D L K Dai
Journal:  J Nutr Health Aging       Date:  2019       Impact factor: 4.075

Review 7.  Is It Time to Begin a Public Campaign Concerning Frailty and Pre-frailty? A Review Article.

Authors:  Jerzy Sacha; Magdalena Sacha; Jacek Soboń; Zbigniew Borysiuk; Piotr Feusette
Journal:  Front Physiol       Date:  2017-07-11       Impact factor: 4.566

Review 8.  Different Cognitive Frailty Models and Health- and Cognitive-related Outcomes in Older Age: From Epidemiology to Prevention.

Authors:  Francesco Panza; Madia Lozupone; Vincenzo Solfrizzi; Rodolfo Sardone; Vittorio Dibello; Luca Di Lena; Francesca D'Urso; Roberta Stallone; Massimo Petruzzi; Gianluigi Giannelli; Nicola Quaranta; Antonello Bellomo; Antonio Greco; Antonio Daniele; Davide Seripa; Giancarlo Logroscino
Journal:  J Alzheimers Dis       Date:  2018       Impact factor: 4.472

Review 9.  Relevance of oxidative stress and inflammation in frailty based on human studies and mouse models.

Authors:  María Álvarez-Satta; Alejandro Berna-Erro; Estefania Carrasco-Garcia; Ainhoa Alberro; Ander Saenz-Antoñanzas; Itziar Vergara; David Otaegui; Ander Matheu
Journal:  Aging (Albany NY)       Date:  2020-05-27       Impact factor: 5.682

10.  Effects of an mHealth Brisk Walking Intervention on Increasing Physical Activity in Older People With Cognitive Frailty: Pilot Randomized Controlled Trial.

Authors:  Rick Yc Kwan; Deborah Lee; Paul H Lee; Mimi Tse; Daphne Sk Cheung; Ladda Thiamwong; Kup-Sze Choi
Journal:  JMIR Mhealth Uhealth       Date:  2020-07-31       Impact factor: 4.773

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