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慢性病发病率由逐步模型及其共现情况解释。

Chronic disease incidence explained by stepwise models and co-occurrence among them.

作者信息

Arróspide Elgarresta Mikel, Gerovska Daniela, Soto-Gordoa Myrian, Jauregui García María L, Merino Hernández Marisa L, Araúzo-Bravo Marcos J

机构信息

Computational Biology and Systems Biomedicine, Biogipuzkoa Health Research Institute, Calle Doctor Begiristain s/n, 20014 San Sebastian, Spain.

Biogipuzkoa Health Research Institute, San Sebastian-Donostia, Spain.

出版信息

iScience. 2024 Aug 26;27(9):110816. doi: 10.1016/j.isci.2024.110816. eCollection 2024 Sep 20.

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.

摘要

多病共存(MM)是指两种或更多种慢性病同时出现。我们提供了一种动态方法,通过构建一个多步发病年龄模型,揭示了2014年至2021年西班牙巴斯克卫生系统中所有多病共存患者的MM复杂性。该多步模型,男性有八个步骤,女性有九个步骤,是对MM的一个非常拟合的表示。为了深入了解MM的组成部分,我们对用于计算查尔森合并症指数(CCI)的19种疾病进行了建模。我们观察到,CCI疾病形成了一个复杂的相互作用网络。发病年龄概况的层次聚类将CCI疾病分为低死亡风险和高死亡风险的病理类型。步骤数较多的疾病由多步模型能更好地表示。从解剖学角度来看,与中枢神经系统相关的疾病步骤数最多,其次是与肾脏、心脏、外周血管、胰腺、关节、脑血管、肺、胃和肝脏相关的疾病。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/199a/11407032/ef5416919f1b/fx1.jpg

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