Literature DB >> 23871598

The ability of three different models of frailty to predict all-cause mortality: results from the European Male Aging Study (EMAS).

Rathi Ravindrarajah1, David M Lee, Stephen R Pye, Evelien Gielen, Steven Boonen, Dirk Vanderschueren, Neil Pendleton, Joseph D Finn, Abdelouahid Tajar, Matthew D L O'Connell, Kenneth Rockwood, György Bartfai, Felipe F Casanueva, Gianni Forti, Aleksander Giwercman, Thang S Han, Ilpo T Huhtaniemi, Krzysztof Kula, Michael E J Lean, Margus Punab, Frederick C W Wu, Terence W O'Neill.   

Abstract

Few studies have directly compared the ability of the most commonly used models of frailty to predict mortality among community-dwelling individuals. Here, we used a frailty index (FI), frailty phenotype (FP), and FRAIL scale (FS) to predict mortality in the EMAS. Participants were aged 40-79 years (n=2929) at baseline and 6.6% (n=193) died over a median 4.3 years of follow-up. The FI was generated from 39 deficits, including self-reported health, morbidities, functional performance and psychological assessments. The FP and FS consisted of five phenotypic criteria and both categorized individuals as robust when they had 0 criteria, prefrail as 1-2 criteria and frail as 3+ criteria. The mean FI increased linearly with age (r(2)=0.21) and in Cox regression models adjusted for age, center, smoking and partner status the hazard ratio (HR) for death for each unit increase of the FI was 1.49. Men who were prefrail or frail by either the FP or FS definitions, had a significantly increased risk of death compared to their robust counterparts. Compared to robust men, those who were FP frail at baseline had a HR for death of 3.84, while those who were FS frail had a HR of 3.87. All three frailty models significantly predicted future mortality among community-dwelling, middle-aged and older European men after adjusting for potential confounders. Our data suggest that the choice of frailty model may not be of paramount importance when predicting future risk of death, enabling flexibility in the approach used.
Copyright © 2013 Elsevier Ireland Ltd. All rights reserved.

Entities:  

Keywords:  Aging; Frailty index; Frailty phenotype; Male health; Mortality; Population-based

Mesh:

Year:  2013        PMID: 23871598     DOI: 10.1016/j.archger.2013.06.010

Source DB:  PubMed          Journal:  Arch Gerontol Geriatr        ISSN: 0167-4943            Impact factor:   3.250


  54 in total

1.  Frailty and Mortality Outcomes in Cognitively Normal Older People: Sex Differences in a Population-Based Study.

Authors:  Mairead M Bartley; Yonas E Geda; Teresa J H Christianson; V Shane Pankratz; Rosebud O Roberts; Ronald C Petersen
Journal:  J Am Geriatr Soc       Date:  2016-01       Impact factor: 5.562

2.  Physical frailty in late-life depression is associated with deficits in speed-dependent executive functions.

Authors:  Guy G Potter; Douglas R McQuoid; Heather E Whitson; David C Steffens
Journal:  Int J Geriatr Psychiatry       Date:  2015-08-27       Impact factor: 3.485

3.  Frailty and cognition: linking two common syndromes in older persons.

Authors:  T K Malmstrom; J E Morley
Journal:  J Nutr Health Aging       Date:  2013-09       Impact factor: 4.075

Review 4.  Aging and sex hormones in males.

Authors:  Maria Chiara Decaroli; Vincenzo Rochira
Journal:  Virulence       Date:  2016-11-10       Impact factor: 5.882

5.  Characterizing Frailty Status in the Systolic Blood Pressure Intervention Trial.

Authors:  Nicholas M Pajewski; Jeff D Williamson; William B Applegate; Dan R Berlowitz; Linda P Bolin; Glenn M Chertow; Marie A Krousel-Wood; Nieves Lopez-Barrera; James R Powell; Christianne L Roumie; Carolyn Still; Kaycee M Sink; Rocky Tang; Clinton B Wright; Mark A Supiano
Journal:  J Gerontol A Biol Sci Med Sci       Date:  2016-01-11       Impact factor: 6.053

6.  Frailty and Subsequent Disability and Mortality among Patients with Critical Illness.

Authors:  Nathan E Brummel; Susan P Bell; Timothy D Girard; Pratik P Pandharipande; James C Jackson; Alessandro Morandi; Jennifer L Thompson; Rameela Chandrasekhar; Gordon R Bernard; Robert S Dittus; Thomas M Gill; E Wesley Ely
Journal:  Am J Respir Crit Care Med       Date:  2017-07-01       Impact factor: 21.405

7.  A comparison of four frailty models.

Authors:  Theodore K Malmstrom; Douglas K Miller; John E Morley
Journal:  J Am Geriatr Soc       Date:  2014-03-17       Impact factor: 5.562

8.  Frailty screening comes of age.

Authors:  J E Morley
Journal:  J Nutr Health Aging       Date:  2014-05       Impact factor: 4.075

Review 9.  Hypoglycemia in older people - a less well recognized risk factor for frailty.

Authors:  Ahmed H Abdelhafiz; Leocadio Rodríguez-Mañas; John E Morley; Alan J Sinclair
Journal:  Aging Dis       Date:  2015-03-10       Impact factor: 6.745

10.  Editorial: Frailty and Polypharmacy.

Authors:  Y Rolland; J E Morley
Journal:  J Nutr Health Aging       Date:  2016       Impact factor: 4.075

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.