Comparison of seven models for the progression patterns of multiple chronic conditions in longitudinal studies.

ABSTRACT:

Introduction

Studies investigating the relationship between patterns of multimorbidity and risk of a new condition have typically defined the patterns at a baseline time and used Kaplan-Meier (KM) or Cox proportional hazards regression. These methods do not consider the competing risk of death or the changes in the patterns of conditions over time. This study illustrates how these methodological limitations can be overcome in the setting of progression from cardiometabolic conditions to dementia.

Methods

Data from 11 930 women who participated in the Australian Longitudinal Study on Women's Health were used to define patterns of diabetes, heart disease and stroke and estimate the cumulative incidence or HRs of subsequent dementia. Seven methods were compared. For cumulative

SUBMITTER: Baneshi MR 

PROVIDER: S-EPMC11816716 | biostudies-literature | 2024 Dec

REPOSITORIES: biostudies-literature