Background The presence of additional chronic conditions has a significant impact on the treatment and management of type 2 diabetes (T2DM). Little is known about the patterns of comorbidities in this population. The aims of this study are to quantify comorbidity patterns in people with T2DM, to estimate the prevalence of six chronic conditions in 2027 and to identify clusters of similar conditions. Methods We used the Clinical Practice Research Datalink (CPRD) linked with the Index of Multiple Deprivation (IMD) data to identify patients diagnosed with T2DM between 2007 and 2017. 102,394 people met the study inclusion criteria. We calculated the crude and age-standardised prevalence of 18 chronic conditions present at and after the T2DM diagnosis. We analysed longitudinally the 6 most common conditions and forecasted their prevalence in 2027 using linear regression. We used agglomerative hierarchical clustering to identify comorbidity clusters. These analyses were repeated on subgroups stratified by gender and deprivation. Results More people living in the most deprived areas had ≥ 1 comorbidities present at the time of diagnosis (72% of females; 64% of males) compared to the most affluent areas (67% of females; 59% of males). Depression prevalence increased in all strata and was more common in the most deprived areas. Depression was predicted to affect 33% of females and 15% of males diagnosed with T2DM in 2027. Moderate clustering tendencies were observed, with concordant conditions grouped together and some variations between groups of different demographics. Conclusions Comorbidities are common in this population, and high between-patient variability in comorbidity patterns emphasises the need for patient-centred healthcare. Mental health is a growing concern, and there is a need for interventions that target both physical and mental health in this population. Electronic supplementary material The online version of this article (10.1186/s12916-019-1373-y) contains supplementary material, which is available to authorized users.

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Antibiotic resistance is an increasing community problem and is related to antibiotic use. If antibiotic use could be reduced, the tide of increasing resistance could be stemmed. e-Bug is a European project involving 18 European countries, partly funded by The Directorate-General for Health and Consumers (DG SANCO) of the European Commission. It aims to develop and disseminate across Europe a junior and senior school teaching pack and web site (hosting the lesson plans and complementary games) that teach young people about prudent antibiotic use, microbes, transmission of infection, hygiene and vaccines. The aim of e-Bug is to increase young people's understanding, through enjoyable activities, of why it is so important to use antibiotics correctly in order to control antibiotic resistance, and to have good hand and respiratory hygiene to help reduce the spread of infection. Within the senior school pack the sexual transmission of infections has also been included, as the peak age of chlamydial infection is in 16-24 year olds. Teachers, young people and the consortium of 18 countries were closely involved with agreeing learning outcomes and developing the resource activities. Young people helped create the characters and microbe artwork. The resources have been translated, adapted for and disseminated to schools across 10 countries in Europe, and endorsed by the relevant government departments of health and education. The web site has been accessed from >200 countries. The resources will be translated into all European Union languages, and have been used to promote European Antibiotic Awareness Day and better hand and respiratory hygiene during the influenza pandemic in 2009.