Insulin sensitivity estimates and their longitudinal association with coronary artery disease in type 1 diabetes. Does it matter?

BACKGROUND: Insulin resistance and chronic kidney disease are both associated with increased coronary artery disease risk. Many formulae estimating glucose disposal rate in type 1 diabetes infer insulin sensitivity from clinical data. We compare associations and performance relative to traditional risk factors and kidney disease severity between three formulae estimating the glucose disposal rate and coronary artery disease in people with type 1 diabetes. METHODS: The baseline glucose disposal rate was estimated by three (Williams, Duca, and Januszewski) formulae in FinnDiane Study participants and related to subsequent incidence of coronary artery disease, by baseline kidney status. RESULTS: In 3517 adults with type 1 diabetes, during median (IQR) 19.3 (14.6, 21.4) years, 539 (15.3%) experienced a coronary artery disease event, with higher rates with worsening baseline kidney status. Correlations between the three formulae estimating the glucose disposal rate were weak, but the lowest quartile of each formula was associated with higher incidence of coronary artery disease. Importantly, only the glucose disposal rate estimation by Williams showed a linear association with coronary artery disease risk in all analyses. Of the three formulae, Williams was the strongest predictor of coronary artery disease. Only age and diabetes duration were stronger predictors. The strength of associations between estimated glucose disposal rate and CAD incidence varied by formula and kidney status. CONCLUSIONS: In type 1 diabetes, estimated glucose disposal rates are associated with subsequent coronary artery disease, modulated by kidney disease severity. Future research is merited regarding the clinical usefulness of estimating the glucose disposal rate as a coronary artery disease risk factor and potential therapeutic target.

Genetic factors affect the susceptibility to bacterial infections in diabetes.

Diabetes increases the risk of bacterial infections. We investigated whether common genetic variants associate with infection susceptibility in Finnish diabetic individuals. We performed genome-wide association studies and pathway analysis for bacterial infection frequency in Finnish adult diabetic individuals (FinnDiane Study; N = 5092, Diabetes Registry Vaasa; N = 4247) using national register data on antibiotic prescription purchases. Replication analyses were performed in a Swedish diabetic population (ANDIS; N = 9602) and in a Finnish non-diabetic population (FinnGen; N = 159,166). Genome-wide data indicated moderate but significant narrow-sense heritability for infection susceptibility (h2 = 16%, P = 0.02). Variants on chromosome 2 were associated with reduced infection susceptibility (rs62192851, P = 2.23 × 10-7). Homozygotic carriers of the rs62192851 effect allele (N = 44) had a 37% lower median annual antibiotic purchase rate, compared to homozygotic carriers of the reference allele (N = 4231): 0.38 [IQR 0.22-0.90] and 0.60 [0.30-1.20] respectively, P = 0.01). Variants rs6727834 and rs10188087, in linkage disequilibrium with rs62192851, replicated in the FinnGen-cohort (P < 0.05), but no variants replicated in the ANDIS-cohort. Pathway analysis suggested the IRAK1 mediated NF-κB activation through IKK complex recruitment-pathway to be a mediator of the phenotype. Common genetic variants on chromosome 2 may associate with reduced risk of bacterial infections in Finnish individuals with diabetes.

Bacterial infections in patients with type 1 diabetes: a 14-year follow-up study.

OBJECTIVE: This study explored the annual occurrence/incidence of bacterial infections, and their association with chronic hyperglycemia and diabetic nephropathy, in patients with type 1 diabetes. DESIGN: In a register-based follow-up study, we investigated the frequency of bacterial infections in patients with type 1 diabetes (n=4748) and age-matched and sex-matched non-diabetic control (NDC) subjects (n=12 954) using nationwide register data on antibiotic drug prescription purchases and hospital discharge diagnoses, collected between 1996 and 2009. Diabetic nephropathy was classified based on the urinary albumin excretion rate (AER). RESULTS: The hospitalization rate due to bacterial infections was higher in patients with diabetes compared with NDCs (rate ratio (RR) 2.30 (95% CI 2.11 to 2.51)). The rate correlated with the severity of diabetic nephropathy: RR for microalbuminuria was 1.23 (0.94 to 1.60), 1.97 (1.49 to 2.61) for macroalbuminuria, 11.2 (8.1 to 15.5) for dialysis, and 6.72 (4.92 to 9.18) for kidney transplant as compared to patients with diabetes and normal AER. The annual number of antibiotic purchases was higher in patients with diabetes (1.00 (1.00 to 1.01)) as compared with NDCs (0.47 (0.46 to 0.47)), RR=1.71 (1.65 to 1.77). Annual antibiotic purchases were 1.18-fold more frequent in patients with microalbuminuria, 1.29-fold with macroalbuminuria, 2.43-fold with dialysis, and 2.74-fold with kidney transplant as compared to patients with normal AER. Each unit of increase in glycated hemoglobin was associated with a 6-10% increase in the number of annual antibiotic purchases. CONCLUSIONS: The incidence of bacterial infections was significantly higher in patients with type 1 diabetes compared with age-matched and sex-matched NDC subjects, and correlated with the severity of diabetic nephropathy in inpatient and outpatient settings.