Temporal disease trajectories condensed from population-wide registry data covering 6.2 million patients

Anders Boeck Jensen, Pope Moseley, Tudor Oprea, Sabrina Gade Ellesøe, Robert Eriksson, Henriette Schmock, Peter Bjødstrup Jensen, Lars Juhl Jensen, Søren Brunak

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    Abstract

    A key prerequisite for precision medicine is the estimation of disease progression from the current patient state. Disease correlations and temporal disease progression (trajectories) have mainly been analysed with focus on a small number of diseases or using large-scale approaches without time consideration, exceeding a few years. So far, no large-scale studies have focused on defining a comprehensive set of disease trajectories. Here we present a discovery-driven analysis of temporal disease progression patterns using data from an electronic health registry covering the whole population of Denmark. We use the entire spectrum of diseases and convert 14.9 years of registry data on 6.2 million patients into 1,171 significant trajectories. We group these into patterns centred on a small number of key diagnoses such as chronic obstructive pulmonary disease (COPD) and gout, which are central to disease progression and hence important to diagnose early to mitigate the risk of adverse outcomes. We suggest such trajectory analyses may be useful for predicting and preventing future diseases of individual patients.
    Translated title of the contributionTemporal disease trajectories condensed from population-wide registry data covering 6.2 million patients
    Original languageEnglish
    Article number4022
    JournalNature Communications
    Volume5
    Number of pages10
    ISSN2041-1723
    DOIs
    Publication statusPublished - 2014

    Bibliographical note

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    Cite this

    Jensen, A. B., Moseley, P., Oprea, T., Ellesøe, S. G., Eriksson, R., Schmock, H., Jensen, P. B., Jensen, L. J., & Brunak, S. (2014). Temporal disease trajectories condensed from population-wide registry data covering 6.2 million patients. Nature Communications, 5, [4022]. https://doi.org/10.1038/ncomms5022