Novel subgroups of adult-onset diabetes and their association with outcomes : a data-driven cluster analysis of six variables

Background Diabetes is presently classified into two main forms, type 1 and type 2 diabetes, but type 2 diabetes in particular is highly heterogeneous. A refined classification could provide a powerful tool to individualise treatment regimens and identify individuals with increased risk of complications at diagnosis. Methods We did data-driven cluster analysis (k-means and hierarchical clustering) in patients with newly diagnosed diabetes (n=8980) from the Swedish All New Diabetics in Scania cohort. Clusters were based on six variables (glutamate decarboxylase antibodies, age at diagnosis, BMI, HbA(1c), and homoeostatic model assessment 2 estimates of beta-cell function and insulin resistance), and were related to prospective data from patient records on development of complications and prescription of medication. Replication was done in three independent cohorts: the Scania Diabetes Registry (n=1466), All New Diabetics in Uppsala (n=844), and Diabetes Registry Vaasa (n=3485). Cox regression and logistic regression were used to compare time to medication, time to reaching the treatment goal, and risk of diabetic complications and genetic associations. Findings We identified five replicable clusters of patients with diabetes, which had significantly different patient characteristics and risk of diabetic complications. In particular, individuals in cluster 3 (most resistant to insulin) had significantly higher risk of diabetic kidney disease than individuals in clusters 4 and 5, but had been prescribed similar diabetes treatment. Cluster 2 (insulin deficient) had the highest risk of retinopathy. In support of the clustering, genetic associations in the clusters differed from those seen in traditional type 2 diabetes. Interpretation We stratified patients into five subgroups with differing disease progression and risk of diabetic complications. This new substratification might eventually help to tailor and target early treatment to patients who would benefit most, thereby representing a first step towards precision medicine in diabetes.Peer reviewe

Living with challenges in the shadow of diabetes’ : An interview study among adults with diabetic peripheral neuropathy

Diabetic peripheral neuropathy is a diabetes-related complication with vague and progressive symptoms with few available treatments. The aim of this study was to describe the experiences of diabetic peripheral neuropathy among adults living with type 1 diabetes. Twelve interviews were performed and qualitative content analysis was used. The overarching theme ‘living with challenges in the shadow of diabetes’ substantiated by the categories ‘pay attention to changes over time’, ‘frequent needs to facilitate living’ and ‘burdens to manage’ represents a daily awareness of the complication where autodidactic strategies were implemented. The conclusion indicates that it might be beneficial if nurses in diabetes care initiate an open-minded dialogue with adults with diabetic peripheral neuropathy to highlight their experiences and to discuss further strategies to facilitate living

Increasing circulating levels of Tenascin C in response to the Wingate anaerobic test

Peer reviewe