As people get older, they often jump from disease to disease and carry the burden of more chronic diseases at once. But is there a pattern in the way diseases follow each other? Over the past six years, Danish researchers developed a comprehensive tool, the Danish Disease Trajectory Browser, that uses 25 years of public health data from Danish patients to explore what they call the main highways of disease development.
“A lot of research focus is on investigating one disease at a time. We try to add a time perspective and look at multiple diseases following each other to discover where are the most common trajectories—what are the disease highways that we as people encounter,” says professor Søren Brunak from the Novo Nordisk Foundation Center for Protein Research at University of Copenhagen.
To illustrate the use of the tool the research group looked at data for Down Syndrome patients and showed, as expected, that these patients in general are diagnosed with Alzheimer’s Disease at an earlier age that others. Other frequent diseases are displayed as well.
The Danish Disease Trajectory Browser is published in Nature Communications.
Making health data accessible for research
In general, barriers to working with health data in research include getting approval from authorities to handle patient data and the fact that researchers need specific technical skills to extract meaningful information from the data.
“We wanted to make an easily accessible tool for researchers and health professionals where they don’t necessarily need to know all the details. The statistical summary data in the tool on disease-to-disease jumps are not person-sensitive. We compute statistics over many patients and have boiled it down to data points that visualize how often patients with one disease get a specific other disease at a later point.