A team of researchers have found that a single, integrated health check carried out in a primary care setting can accurately predict risks for diseases across multiple organs. Currently, GPs are often limited to assessing the risk of diseases one at a time, a process that is time-consuming.
The new study, published in BMJ Evidence-based Medicine, used data from nearly 230,000 participants in the UK Biobank. It was supported by the National Institute for Health and Care Research (NIHR) Oxford Biomedical Research Centre (BRC).
The researchers, including Thomas Nichols, Professor of Neuroimaging and Statistics at the Big Data Institute, showed that information that is already being collected as part of the primary care health check could feasibly be combined into a single calculator providing ten year risk estimates for multiple diseases across related organ systems of heart, brain, liver, and kidney.
As well as confirming that risk factors like high blood pressure, diabetes, and high cholesterol were linked to the risk of diseases in these organs, the researchers also found that other factors not usually considered as part of standard risk assessments such as mental health, inflammation, sleep quality, and medication use were also significant. The study also provided evidence around the potential accuracy of remote health risk scoring.
Celeste McCracken, the lead author of the paper, said ‘Our findings suggest that primary care providers could use a single set of easily collected information to simultaneously generate multiple disease risk scores. This could significantly streamline the process, potentially improving early disease detection and prevention efforts.
This data shows that it is possible to derive decent multiorgan risk estimates from information that can be collected remotely. We understand the NHS is resource-constrained, and this could have huge implications for people in hard-to-reach places.’