Mapping the hidden connections between diseases

Comparison of comorbidities for asthma, by sex. The size of a node (circle) is p
Comparison of comorbidities for asthma, by sex. The size of a node (circle) is proportional to the prevalence of the condition in the study period. The width of the lines between two nodes represents how strong the correlation is
Comparison of comorbidities for asthma, by sex. The size of a node (circle) is proportional to the prevalence of the condition in the study period. The width of the lines between two nodes represents how strong the correlation is - A new study led by UCL researchers has identified patterns in how common health conditions occur together in the same individuals, using data from four million patients in England. With advancing age, millions of people live with multiple conditions - sometimes referred to as multimorbidity - and the proportion of people affected in this way is expected to rise over the next decades. However, medical education and training, healthcare delivery, clinical guidelines and research have evolved to focus on one disease at a time. The Academy of Medical Sciences and the UK Chief Medical Officer (CMO) have recognised this problem and set out a challenge of investigating which diseases co-occur in the same individuals and why. In the new study, published in Lancet Digital Health , the team used routine health records data to systematically identify patterns of clustering of 308 common mental and physical health conditions of men and women of different ages and with different ethnicities.
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