Year: 2024
Type: article
Study design: Observational Study
Abstract: Multimorbidity (MM) is the co-occurrence of two or more chronic diseases. We provided a dynamic approach revealing the MM complexity constructing a multistep incidence-age model for all patients with MM between 2014 and 2021 in the Basque Health System, Spain. The multistep model, with eight steps for males and nine for females, is a very well-fitting representation of MM. To gain insight into the MM components, we modeled the 19 diseases used to calculate the Charlson Comorbidity Index (CCI). We observed that the CCI diseases formed a complex interaction network. Hierarchical clustering of the incidence-age profiles clustered the CCI diseases into low- and high-risk of dying pathologies. Diseases with a higher number of steps are better represented by a multistep model. Anatomically, diseases associated with the central nervous system have the highest number of steps, followed by those associated with the kidney, heart, peripheral vasulature, pancreas, joints, cerebral vasculature, lung, stomach, and liver.
Source: iScience
Authors: Mikel Arróspide Elgarresta, Daniela Gerovska, Myrian Soto-Gordoa, María L. Jauregui García, Marisa L. Merino Hernández, Marcos J. Araúzo-Bravo
Institutions: Biogipuzkoa Health Research Institute, Mondragon Unibertsitatea, Osasun Sistemen Ikerketa Institutua, Ikerbasque, University of the Basque Country, Centro de Investigación Biomédica en Red, Centro de Investigación Biomédica en Red de Fragilidad y Envejecimiento Saludable, Max Planck Institute for Molecular Biomedicine
Language: English
Subfield: Epidemiology
Field: Medicine
Domain: Health Sciences
Open Access status: gold
Estimated APC paid: $3,150
OpenAlex ID: W4401893194
