Literature DB >> 12806071

Accumulation of deficits as a proxy measure of aging.

A B Mitnitski1, A J Mogilner, K Rockwood.   

Abstract

This paper develops a method for appraising health status in elderly people. A frailty index was defined as the proportion of accumulated deficits (symptoms, signs, functional impairments, and laboratory abnormalities). It serves as an individual state variable, reflecting severity of illness and proximity to death. In a representative database of elderly Canadians we found that deficits accumulated at 3% per year, and show a gamma distribution, typical for systems with redundant components that can be used in case of failure of a given subsystem. Of note, the slope of the index is insensitive to the individual nature of the deficits, and serves as an important prognostic factor for life expectancy. The formula for estimating an individual's life span given the frailty index value is presented. For different patterns of cognitive impairments the average within-group index value increases with the severity of the cognitive impairment, and the relative variability of the index is significantly reduced. Finally, the statistical distribution of the frailty index sharply differs between well groups (gamma distribution) and morbid groups (normal distribution). This pattern reflects an increase in uncompensated deficits in impaired organisms, which would lead to illness of various etiologies, and ultimately to increased mortality. The accumulation of deficits is as an example of a macroscopic variable, i.e., one that reflects general properties of aging at the level of the whole organism rather than any given functional deficiency. In consequence, we propose that it may be used as a proxy measure of aging.

Entities:  

Mesh:

Year:  2001        PMID: 12806071      PMCID: PMC6084020          DOI: 10.1100/tsw.2001.58

Source DB:  PubMed          Journal:  ScientificWorldJournal        ISSN: 1537-744X


  557 in total

1.  Out of the furrow and into the fire: where do we go with delirium?

Authors:  Kenneth J Rockwood
Journal:  CMAJ       Date:  2002-10-01       Impact factor: 8.262

2.  Successful aging as a continuum of functional independence: lessons from physical disability models of aging.

Authors:  Kristin A Lowry; Abbe N Vallejo; Stephanie A Studenski
Journal:  Aging Dis       Date:  2011-08-15       Impact factor: 6.745

Review 3.  Different models of frailty in predementia and dementia syndromes.

Authors:  F Panza; V Solfrizzi; V Frisardi; S Maggi; D Sancarlo; F Adante; G D'Onofrio; D Seripa; A Pilotto
Journal:  J Nutr Health Aging       Date:  2011-08       Impact factor: 4.075

4.  How genes influence life span: the biodemography of human survival.

Authors:  Anatoliy I Yashin; Deqing Wu; Konstantin G Arbeev; Eric Stallard; Kenneth C Land; Svetlana V Ukraintseva
Journal:  Rejuvenation Res       Date:  2012-05-18       Impact factor: 4.663

5.  Predictive performance of four frailty measures in an older Australian population.

Authors:  Imaina S Widagdo; Nicole Pratt; Mary Russell; Elizabeth E Roughead
Journal:  Age Ageing       Date:  2015-11       Impact factor: 10.668

6.  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

7.  External validation of the Ferguson pulmonary risk score for predicting major pulmonary complications after oesophagectomy†.

Authors:  J Matthew Reinersman; Mark S Allen; Claude Deschamps; Mark K Ferguson; Francis C Nichols; K Robert Shen; Dennis A Wigle; Stephen D Cassivi
Journal:  Eur J Cardiothorac Surg       Date:  2015-02-26       Impact factor: 4.191

8.  Physiological Dysregulation, Frailty, and Risk of Mortality Among Older Adults.

Authors:  Jennifer C Cornman; Dana A Glei; Noreen Goldman; Maxine Weinstein
Journal:  Res Aging       Date:  2016-02-09

9.  Modified frailty index predicts postoperative outcomes in older gastrointestinal cancer patients.

Authors:  Sarah A Vermillion; Fang-Chi Hsu; Robert D Dorrell; Perry Shen; Clancy J Clark
Journal:  J Surg Oncol       Date:  2017-04-24       Impact factor: 3.454

10.  Development of a Claims-based Frailty Indicator Anchored to a Well-established Frailty Phenotype.

Authors:  Jodi B Segal; Hsien-Yen Chang; Yu Du; Jeremy D Walston; Michelle C Carlson; Ravi Varadhan
Journal:  Med Care       Date:  2017-07       Impact factor: 2.983

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.