Predictive Ability of Individual Items of the Cardiovascular Health Study (CHS) Scale Compared With the Summative

Jean Woo1, Ruby Yu1, Jason Leung2

  • 1Department of Medicine & Therapeutics, Faculty of Medicine, The Chinese University of Hong Kong, Shatin, Hong Kong; The Chinese University of Hong Kong Jockey Club Institute of Ageing, Shatin, Hong Kong.

Insights

The Fried frailty phenotype

Area of Science:

  • Gerontology
  • Public Health
  • Epidemiology

Background:

  • Frailty is a significant predictor of adverse health outcomes in older adults.
  • The Fried phenotype is a commonly used measure of frailty, but its individual components' predictive abilities are not fully understood.
  • Identifying simpler frailty screening tools is crucial for clinical practice and public health initiatives.

Purpose of the Study:

  • To assess the predictive capacity of each component of the Fried frailty phenotype.
  • To determine the ability of individual Fried phenotype items to predict physical limitation, physical performance, hospitalization, and mortality over time.
  • To explore the potential of using single physical performance measures as alternatives to the full Fried phenotype.

Main Methods:

  • Prospective cohort study of 4000 community-living older adults in Hong Kong.
  • Frailty assessed using the 5-item Fried phenotype (Cardiovascular Health Study scale).
  • Logistic regression and area under the curve (AUC) analysis used to evaluate predictive ability for various health outcomes over 4, 7, and 12 years.

Main Results:

  • In men, all Fried phenotype items predicted physical limitation. Low walking speed and grip strength predicted slower walking speed.
  • In women, low walking speed and grip strength predicted most adverse outcomes, excluding mortality.
  • Low walking speed alone demonstrated predictive ability comparable to the full 5-item Fried phenotype for adverse outcomes.

Conclusions:

  • Individual components of the Fried frailty phenotype, particularly walking speed and grip strength, show significant predictive value.
  • A single physical performance measure, such as walking speed, may suffice for frailty screening in certain contexts.
  • Population-specific cut-off values are necessary when using simplified frailty screening measures.
Abstract

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