Unifying ageing and frailty through complex dynamical networks

TL;DR

This paper presents a computational network model that simulates how health deficits accumulate with age, reproducing known frailty and mortality patterns without programmed aging, and offers new tools for analyzing health data.

Contribution

A novel complex network model that links ageing, frailty, and mortality, providing insights into deficit accumulation and enabling systematic health data analysis.

Findings

Model reproduces frailty and mortality patterns

Explains the maximum of the frailty index

Enables analysis of health trajectory changes

Abstract

To explore the mechanistic relationships between ageing, frailty and mortality, we developed a computational model in which possible health attributes are represented by the nodes of a complex network. Each node can be either damaged (i.e. a deficit) or undamaged. Damage of connected nodes facilitates further local damage. Our model recovers the known patterns of frailty and mortality without any programmed ageing. It helps us to understand how the observed maximum of the frailty index (FI) might arise, and allows us to start to understand how health deficits accumulate. Large model populations allow us to exploit new analytic tools, including information theory. This will allow us to systematically characterize the effects of sudden changes in the health trajectories of individuals and serve as a way to evaluate large clinical and population databases.