Improvements in sensor accuracy, greater convenience and ease of use, and expanding reimbursement have led to growing adoption of continuous glucose monitoring (CGM). However, successful utilization of CGM technology in routine clinical practice remains relatively low. This may be due in part to the lack of clear and agreed-upon glycemic targets that both diabetes teams and people with diabetes can work toward. Although unified recommendations for use of key CGM metrics have been established in three separate peer-reviewed articles, formal adoption by diabetes professional organizations and guidance in the practical application of these metrics in clinical practice have been lacking. In February 2019, the Advanced Technologies & Treatments for Diabetes (ATTD) Congress convened an international panel of physicians, researchers, and individuals with diabetes who are expert in CGM technologies to address this issue. This article summarizes the ATTD consensus recommendations for relevant aspects of CGM data utilization and reporting among the various diabetes populations.
Physiological and pharmacological studies of hormones, drugs, and neurotransmitters often generate families of sigmoidal dose-response curves. Optimally efficient data analysis should involve simultaneous description of all curves, rather than fitting each one individually. We have developed a general computerized method to describe the dose-response curves in terms of basal and maximal responses, ED50, and curve shape or steepness. This facile method permits rigorous statistical analysis, provides a basis for pooling of information from separate experiments, and allows one to test which characteristics are shared by various curves.
This report describes a model of steroid transport in human plasma. The binding affinities of 21 endogenous steroids for both testosterone-binding globulin (TeBG) and corticosteroid-binding globulin (CBG) were determined under equilibrium conditions using a solid phase method at physiological pH and temperature. A computer program was used to solve the complex equilibrium interactions between these steroids and TeBG, CBG, and albumin. In this manner, we calculated the plasma distribution of each steroid into TeBG-bound, CBG-bound, albumin-bound, and unbound fractions in normal men, normal women during both the follicular and luteal phases of the ovarian cycle, and women during the third trimester of a normal pregnancy.
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