Data-driven frailty and reserve phenotypes in older outpatients: a cluster analysis of complementary geriatric assessment.

ABSTRACT:

Background

The progressive aging of the population represents a critical public health challenge. Within this context, the management of frailty has emerged as a central priority in geriatric care, with Comprehensive Geriatric Assessment (CGA) widely recognized as the gold-standard tool for its evaluation. This study aimed to stratify a large cohort of older adults using a multidimensional approach based on CGA, employing Principal Component Analysis (PCA) and Cluster Analysis to identify distinct phenotypic profiles.

Materials and methods

A cross-sectional study was conducted on 1055 outpatients aged ≥65 years, assessed at the Geriatric Outpatient Service of the University of Cagliari between 2020 and 2024. All participants underwent a CGA. PCA was performed on selected CGA

SUBMITTER: Belfiori M 

PROVIDER: S-EPMC12833285 | biostudies-literature | 2025

REPOSITORIES: biostudies-literature