Literature DB >> 25846451

Modifications to the frailty phenotype criteria: Systematic review of the current literature and investigation of 262 frailty phenotypes in the Survey of Health, Ageing, and Retirement in Europe.

Olga Theou1, Lynne Cann2, Joanna Blodgett2, Lindsay M K Wallace2, Thomas D Brothers2, Kenneth Rockwood3.   

Abstract

We conducted a systematic review to determine variability in how the criteria of the frailty phenotype (grip strength, weight loss, exhaustion, walking speed, physical activity) were assessed. We then evaluated the impact on estimating prevalence and mortality of modifying the criteria, using the Survey of Health, Ageing, & Retirement in Europe (SHARE). Five databases were searched for original research articles published after 2000, which evaluated frailty using the phenotypic criteria. Among the 264 included studies, 24 studies provided enough information to demonstrate that all criteria were assessed as proposed in the original frailty phenotype study by Fried et al. (2001). Physical inactivity and weight loss were the criteria most often modified. We then created 262 phenotypes from SHARE based on common modifications found in the review. Among these phenotypes, frailty prevalence ranged from 12.7% to 28.2%. Agreement with the primary frailty phenotype ranged from 0.662 to 0.967 and internal consistency ranged from 0.430 to 0.649. Women had 2.1-16.3% higher frailty prevalence than men. Areas under receiver operating characteristic curves for discriminating five-year mortality ranged from 0.607 (95% CI: 0.583-0.630) to 0.668 (0.645-0.691). The frailty phenotype often has been modified, and these modifications have important impact on its classification and predictive ability.
Copyright © 2015 Elsevier B.V. All rights reserved.

Entities:  

Keywords:  Ageing; Frailty; Phenotype; Secondary analysis; Survey of Health, Ageing, and Retirement in Europe; Systematic review

Mesh:

Year:  2015        PMID: 25846451     DOI: 10.1016/j.arr.2015.04.001

Source DB:  PubMed          Journal:  Ageing Res Rev        ISSN: 1568-1637            Impact factor:   10.895


  101 in total

1.  Association between a Deficit Accumulation Frailty Index and Mobility Outcomes in Older Adults: Secondary Analysis of the Lifestyle Interventions and Independence for Elders (LIFE) Study.

Authors:  Joshua D Brown; Golnoosh Alipour-Haris; Marco Pahor; Todd M Manini
Journal:  J Clin Med       Date:  2020-11-22       Impact factor: 4.241

Review 2.  Risk of cardiovascular disease morbidity and mortality in frail and pre-frail older adults: Results from a meta-analysis and exploratory meta-regression analysis.

Authors:  Nicola Veronese; Emanuele Cereda; Brendon Stubbs; Marco Solmi; Claudio Luchini; Enzo Manzato; Giuseppe Sergi; Peter Manu; Tamara Harris; Luigi Fontana; Timo Strandberg; Helene Amieva; Julien Dumurgier; Alexis Elbaz; Christophe Tzourio; Monika Eicholzer; Sabine Rohrmann; Claudio Moretti; Fabrizio D'Ascenzo; Giorgio Quadri; Alessandro Polidoro; Roberto Alves Lourenço; Virgilio Garcia Moreira; Juan Sanchis; Valeria Scotti; Stefania Maggi; Christoph U Correll
Journal:  Ageing Res Rev       Date:  2017-01-28       Impact factor: 10.895

Review 3.  Neighborhood Characteristics and Frailty: A Scoping Review.

Authors:  Heather Fritz; Malcolm P Cutchin; Jamil Gharib; Neehar Haryadi; Meet Patel; Nandit Patel
Journal:  Gerontologist       Date:  2020-05-15

4.  Principles and Issues for Physical Frailty Measurement and Its Clinical Application.

Authors:  Karen Bandeen-Roche; Alden L Gross; Ravi Varadhan; Brian Buta; Michelle C Carlson; Megan Huisingh-Scheetz; Mara Mcadams-Demarco; Damani A Piggott; Todd T Brown; Rani K Hasan; Rita R Kalyani; Christopher L Seplaki; Jeremy D Walston; Qian-Li Xue
Journal:  J Gerontol A Biol Sci Med Sci       Date:  2020-05-22       Impact factor: 6.053

5.  An Optimal Questionnaire Representing Slow Gait Speed(<1m/s) in Community-dwelling Older Adults: The Korean Frailty and Aging Cohort Study (KFACS).

Authors:  S Lee; S Kim; M Kim; J Yoo; B Kim; M Yoo; C W Won
Journal:  J Nutr Health Aging       Date:  2019       Impact factor: 4.075

6.  Managing frailty in primary care: evidence gaps cannot be ignored.

Authors:  Sathya Karunananthan; Howard Bergman
Journal:  CMAJ       Date:  2018-09-24       Impact factor: 8.262

7.  Challenges and opportunities to improve fracture liaison service attendance: fracture registration and patient characteristics and motivations.

Authors:  P van den Berg; P M M van Haard; P P Geusens; J P van den Bergh; D H Schweitzer
Journal:  Osteoporos Int       Date:  2019-05-25       Impact factor: 4.507

8.  The effect of frailty on HAI response to influenza vaccine among community-dwelling adults ≥ 50 years of age.

Authors:  Krissy K Moehling; Mary Patricia Nowalk; Chyongchiou Jeng Lin; Marnie Bertolet; Ted M Ross; Chalise E Carter; Michael Susick; Sean G Saul; A Murat Kaynar; Joyce T Bromberger; Richard K Zimmerman
Journal:  Hum Vaccin Immunother       Date:  2017-12-20       Impact factor: 3.452

9.  Cognitive Frailty in Italian Community-Dwelling Older Adults: Prevalence Rate and Its Association with Disability.

Authors:  M Roppolo; A Mulasso; E Rabaglietti
Journal:  J Nutr Health Aging       Date:  2017       Impact factor: 4.075

Review 10.  Practical approach on frail older patients attended for acute heart failure.

Authors:  Francisco J Martín-Sánchez; Michael Christ; Òscar Miró; W Frank Peacock; John J McMurray; Héctor Bueno; Alan S Maisel; Louise Cullen; Martin R Cowie; Salvatore Di Somma; Elke Platz; Josep Masip; Uwe Zeymer; Christiaan Vrints; Susanna Price; Christian Mueller
Journal:  Int J Cardiol       Date:  2016-07-18       Impact factor: 4.164

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