High-risk multimorbidity patterns on the road to cardiovascular mortality.

ABSTRACT:

Background

Multimorbidity, the co-occurrence of two or more diseases in one patient, is a frequent phenomenon. Understanding how different diseases condition each other over the lifetime of a patient could significantly contribute to personalised prevention efforts. However, most of our current knowledge on the long-term development of the health of patients (their disease trajectories) is either confined to narrow time spans or specific (sets of) diseases. Here, we aim to identify decisive events that potentially determine the future disease progression of patients.

Methods

Health states of patients are described by algorithmically identified multimorbidity patterns (groups of included or excluded diseases) in a population-wide analysis of 9,000,000 patient histories of hos

SUBMITTER: Haug N 

PROVIDER: S-EPMC7063814 | biostudies-literature | 2020 Mar

REPOSITORIES: biostudies-literature