Deviation analysis of clinical studies as tool to tune and assess performance of diabetes control algorithms

Analyzing the Potential of Advanced Insulin Dosing Strategies in Patients With Type 2 Diabetes: Results From a Hybrid In Silico Study

“…As a complement to conventional in silico studies, several authors [19][20][21][22] have proposed variation methods to estimate the effect of a modified therapy using recorded clinical data. The key idea is to assume that the measured BG values are a combination of the effect of CHO and insulin intake and from unknown random disturbances.…”

“…In this article, the potential of improving glycemic control by using advanced insulin dosing strategies is analyzed based on outpatient data collected at the Hvidovre University Hospital for a small group of autoantibody negative, multiple daily injections (MDI), insulin-treated T2D patients.The article studies the potential difference of advanced options for insulin treatment (including AP) in lowering the patients' HbA1c, but also to increase time in range and decrease time in hypoglycemia and hyperglycemia. For this purpose a method called deviation analysis 19 (which is also known under different names) [20][21][22] has been used, which allows a sensible prediction of the clinical outcome for the case of a variation of the used insulin dosage.…”