Modelling of the ICF core sets for chronic ischemic heart disease using the LASSO model in Chinese patients

Meng You1, Wen Fang2, Xu Wang1

  • 1Collaborative Innovation Center of Judicial Civilization, Key Laboratory of Evidence Science, China University of Political Science and Law, Ministry of Education, 25 Xitucheng Road, Beijing, 100040, China.

Insights

This study explored how functioning areas are linked in Chinese patients with chronic ischemic heart disease (CIHD). Key findings highlight the impact on physical functions, social interactions, and the importance of support systems for rehabilitation.

Area of Science:

  • Cardiology
  • Rehabilitation Medicine
  • Health Services Research

Background:

  • Chronic ischemic heart disease (CIHD) significantly impacts patient functioning.
  • Understanding the interrelationships between different functional domains in CIHD is crucial for effective management.

Purpose of the Study:

  • To investigate the associations among International Classification of Functioning, Disability, and Health (ICF) core sets in Chinese CIHD patients.
  • To utilize the least absolute shrinkage and selection operator (LASSO) model for analyzing these associations.

Main Methods:

  • Prospective study of 120 CIHD patients.
  • Utilized the ICF core sets checklist for CIHD (Chinese version) to assess functioning.
  • Applied LASSO generalized linear models and graphical modeling to identify variable dependencies.

Main Results:

  • Physical functioning, including muscle endurance, cardiovascular sensations, and heart/blood vessel functions, were most impaired.
  • "Recreation and leisure" and "intimate relationships" were significantly affected.
  • Social support and community connections were vital for functional status; economic and family relationships were less impacted.

Conclusions:

  • Graphical modeling effectively illustrates functional associations in CIHD.
  • Findings provide a basis for improving rehabilitation strategies and understanding functioning in Chinese CIHD populations.
Abstract

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