Physical exercise is an important component in the management of type 1 diabetes across the lifespan. Yet, acute exercise increases the risk of dysglycaemia, and the direction of glycaemic excursions depends, to some extent, on the intensity and duration of the type of exercise. Understandably, fear of hypoglycaemia is one of the strongest barriers to incorporating exercise into daily life. Risk of hypoglycaemia during and after exercise can be lowered when insulin-dose adjustments are made and/or additional carbohydrates are consumed. Glycaemic management during exercise has been made easier with continuous glucose monitoring (CGM) and intermittently scanned continuous glucose monitoring (isCGM) systems; however, because of the complexity of CGM and isCGM systems, both individuals with type 1 diabetes and their healthcare professionals may struggle with the interpretation of given information to maximise the technological potential for effective use around exercise (i.e. before, during and after). This position statement highlights the recent advancements in CGM and isCGM technology, with a focus on the evidence base for their efficacy to sense glucose around exercise and adaptations in the use of these emerging tools, and updates the guidance for exercise in adults, children and adolescents with type 1 diabetes.

To investigate temporal trends and contemporary use of insulin pump therapy and glucose monitoring in type 1 diabetes. RESEARCH DESIGN AND METHODS In a population-based study, we analyzed the use of insulin pump therapy, continuous glucose monitoring (CGM), and self-monitoring of blood glucose (SMBG) from 1995 to 2017 in patients with type 1 diabetes identified from the Diabetes Prospective Follow-up (DPV) database in Germany and Austria. Patients were stratified by age, sex, migration background, and country. RESULTS Among 96,547 patients with type 1 diabetes (median age 17.9 years, 53% males), the percentage using insulin pump therapy increased from 1% in 1995 to 53% in 2017, with the highest rates in the youngest patients (92% in preschoolers, 74% in children, 56% in adolescents aged <15 years, 46% in adolescents aged ‡15 years, 37% in adults). The percentage of patients using CGM increased from 3% in 2006 to 38% in 2017, with the highest rates in the youngest patients (58%, 52%, 45%, 33%, and 15% of respective age-groups). Daily SMBG frequencies increased from 1995 to 2016 and decreased afterward, most prominently in the youngest patients. Between 2015 and 2017, pump therapy was more frequently used in female versus male adolescents and adults (all P < 0.001), while no sex differences were observed for pump use in children <10 years (all P 5 1.0) and for CGM use in all age-groups (all P 5 1.0). CONCLUSIONS Since 1995, insulin pump use has continuously increased, and insulin pump therapy is now standard in patients aged <15 years. CGM use sharply rose in recent years, particularly in young children.

Physical exercise is an important component in the management of type 1 diabetes across the lifespan. Yet, acute exercise increases the risk of dysglycaemia, and the direction of glycaemic excursions depends, to some extent, on the intensity and duration of the type of exercise. Understandably, fear of hypoglycaemia is one of the strongest barriers to incorporating exercise into daily life. Risk of hypoglycaemia during and after exercise can be lowered when insulin-dose adjustments are made and/or additional carbohydrates are consumed. Glycaemic management during exercise has been made easier with continuous glucose monitoring (CGM) and intermittently scanned continuous glucose monitoring (isCGM) systems; however, because of the complexity of CGM and isCGM systems, both individuals with type 1 diabetes and their healthcare professionals may struggle with the interpretation of given information to maximise the technological potential for effective use around exercise (ie, before, during and after). This position statement highlights the recent advancements in CGM and isCGM technology, with a focus on the evidence base for their efficacy to sense glucose around exercise and adaptations in the use of these emerging tools, and updates the guidance for exercise in adults, children and adolescents with type 1 diabetes.

No abstract

Background. High-producer TGFβ1 genotypes are associated with severe lung disease in cystic fibrosis (CF), but studies combining IL-8, TNFα-, and TGFβ1(+genotype) levels and their impact on CF lung disease are scarce. Aim. Assessing the relationship between TGFβ1, IL-8, and TNF-α and lung disease in CF in an exacerbation-free interval. Methods. Twenty four patients delta F508 homozygous (median age 20.5 y, Shwachman score 75, FEV1(%) 83) and 8 controls (median age 27.5 y) were examined. TGFβ1 was assessed in serum and induced sputum (IS) by ELISA, for IL-8 and TNF-α by chemiluminescence in IS and whole blood. Genotyping was performed for TGFβ1 C−509T and T+869C utilizing RFLP. Results. TGFβ1 in IS (CF/controls median 76.5/59.1 pg/mL, P < 0.074) was higher in CF. There was a negative correlation between TGFβ1 in serum and lung function (LF) (FEV1 (r = −0.488, P = 0.025), MEF 25 (r = −0.425, P = 0.055), and VC (r = −0.572, P = 0.007)). Genotypes had no impact on TGFβ1 in IS, serum, and LF. In IS TGFβ1 correlated with IL-8 (r = 0.593, P < 0.007) and TNF-α (r = 0.536, P < 0.018) in patients colonized by bacteria with flagellin. Conclusion. TGFβ1 in serum not in IS correlates with LF. In patients colonized by bacteria with flagellin, TGFβ1 correlates with IL-8 and TNF-α in IS.