Symptoms of ME/CFS – such as pain, fatigue, and cognitive difficulties, often overlap with other medical problems making diagnosis difficult.
Therefore, researchers working on a study – now published in the Nature journal “Communications Medicine”, used data from the UK Biobank to investigate whether they could find a way to easily identify people with the disease.
The team compared people with and without ME/CFS who had other medical problems – they then developed a mathematical calculation, using 19 basic health factors and nine blood markers, which aimed to recognise ME/CFS.
Results indicated that the calculation was able to correctly classify those with ME/CFS and those without ME/CFS 83% of the time – It was also able to recognise the disease in individuals 70% of the time.
The authors of the research state that “This research could lead to a better way to diagnose ME/CFS and serve as an example for diseases lacking definite laboratory testing”
Read the full article: https://tinyurl.com/35ss39ec