AI Article Synopsis
- Multimorbidity (MM) refers to the presence of two or more chronic diseases occurring together, with a study conducted in the Basque Health System between 2014 and 2021 revealing its complexity through a detailed multistep incidence-age model.
- The model, consisting of eight steps for men and nine for women, effectively illustrates the relationships among 19 diseases that contribute to the Charlson Comorbidity Index (CCI), showcasing a complex interaction network among these conditions.
- Findings indicate that diseases associated with the central nervous system are the most complex, with higher step counts, while the analysis also highlighted the clustering of diseases into low- and high-risk categories for mortality.
Article 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.
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| http://www.ncbi.nlm.nih.gov/pmc/articles/PMC11407032 | PMC |
| http://dx.doi.org/10.1016/j.isci.2024.110816 | DOI Listing |
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