A sensor augmented pump may improve awareness of hypoglycemia and quality of life in Japanese patients with type 1 diabetes mellitus.

OBJECTIVE: Sensor-augmented pump (SAP) therapy reportedly improves glycemic control and quality of life. However, there is limited information on changes in awareness of hypoglycemia and quality of life (QOL) after starting SAP therapy in Japanese patients with type 1 diabetes. The aim of this study was to evaluate glycemic control, awareness of hypoglycemia, and QOL after initiation of SAP therapy in these patients. METHODS: The study included 20 patients with type 1 diabetes who started SAP therapy. HbA1c levels, values derived from continuous glucose monitoring [including percentages of time in target range (70-180 mg/dL), time below range (< 70 mg/dL), and time above range (> 180 mg/dL)], the Diabetes Treatment Satisfaction Questionnaire score, and the Clarke score were compared between baseline and after 3 and 6 months of SAP therapy. RESULTS: There was a significant decrease in HbA1c at 3 and 6 months after starting on the SAP (p < 0.0001). There was also a significant decrease in time above range (> 180 mg/dL) at the two time points (p = 0.0069 and p = 0.0042, respectively). There was no significant change in time below range (< 70 mg/dL). There was a significant reduction in the Clarke score (p = 0.0347 and p = 0.0003, respectively) and a significant increase in the treatment satisfaction score (both p < 0.0001). There was no significant change in any of the three MOS 36-Item Short-Form Health Survey v2 component summary scores. CONCLUSION: SAP therapy was associated with improvement of glycemic control, mainly by reducing hyperglycemia, and patients' satisfaction with treatment.

Genetic differences between type 1 diabetes with and without other autoimmune diseases.

BACKGROUND: Clusters of autoimmune diseases (ADs) are present in some people with type 1 diabetes. This clustering suggests the existence of common genetic backgrounds for abnormal autoimmunity in these individuals. However, the genetic differences between type 1 diabetes patients with and without other ADs are not well known. METHODS: To investigate the clinical background and genetic differences between type 1 diabetes patients with and without other ADs, single nucleotide polymorphisms (SNPs) in the CTLA4, SUMO4, PTPN22, IRF5, STAT4, and BLK genes were analysed by using either a TaqMan assay or direct sequencing. The frequencies of alleles, genotypes of each gene, and the human leukocyte antigen (HLA) haplotype were analysed to investigate differences among 3 groups: type 1 diabetes with systemic ADs (group A), type 1 diabetes with other organ-specific ADs (group B), and type 1 diabetes without other ADs (group C). RESULTS: The frequency of the C allele in the -1123G > C SNP in the PTPN22 gene promoter was significantly higher in groups A and B than in group C (P = .0258 and .0207, respectively). The allele frequencies of the other SNPs were comparable. The frequency of HLA DRB1*0405-DQB1*0401 was significantly higher in groups A and B than in group C (P = .021 and .0395, respectively). CONCLUSIONS: The -1123G > C SNP in the PTPN22 gene promoter and HLA DRB1*0405-DQB1*0401 might influence the concurrence of systemic and organ-specific ADs in patients with type 1 diabetes.