Novo Nordisk A/s

Brad Warren Van Orden

Henrik Bengtsson

Tinna Bjoerk Aradottir

Thomas Dedenroth Miller

Pete Brockmeier

Anuar Imanbayev

Oleksandr Shvets

Alan John Michelich

Jakob Oest Wielandt

The invention relates to a novel administration regime useful in the treatment of diseases or conditions where administration of insulin will be of benefit. In particular, the invention relates to a long-acting or ultra-long acting insulin for use in treating a disease or condition where administration of insulin will be of benefit, wherein the administration of said insulin includes or consists of one or more of the following steps: (a) obtaining a first data set of the subject, (b) obtaining a second data set of the subject, (c) obtaining a first data structure of the subject, and (d) obtaining a second data structure of the subject. When a determination is made that the at least first data structure, second data structure, first data set, and second data set collectively do contain the set of evaluation information, the device further includes providing the long-acting or ultra-long-acting insulin dose guidance recommendation.

System for providing an up-to-date and long-acting or ultra-long-acting insulin dose guidance recommendation to treat diabetes mellitus

A device () for estimating the risk of a future hypoglycemic event for a subject with a standing insulin regimen (), wherein the standing insulin regimen comprises one or more types of insulin medicament dosage regimen (), wherein each of the one or more types of insulin medicament dosage regimen () comprises a type of insulin medicament () defining one or more types of insulin medicaments. Using the evaluation of a glucose concentration, a first time derivative and an insulin on board for the subject in a current metabolic state, and the evaluation of a glucose concentration, a first derivative and a historical insulin on board to estimate a hypoglycemic risk measure.

Systems and methods for estimating the risk of a future hypoglycemic event

Systems and methods for treating a subject are provided. A first dataset comprising timestamped autonomous glucose measurements of the subject over a first time course is obtained. A second dataset, associated with a standing insulin regimen for the subject over the first time course and comprising insulin medicament records, is also obtained. Each record comprises a timestamped injection event including an amount and type of insulin medicament injected into the subject by an insulin pen. The first and second datasets serve to calculate a glycaemic risk measure and an insulin sensitivity factor of the subject during the first time course, which are used to obtain a basal titration schedule and a fasting blood glucose profile model over a subsequent second time course for the subject. The model predicts the fasting blood glucose level of the subject based upon amounts of basal insulin medicament injected into the subject.

Starter kit for basal insulin titration

Systems and methods for treating a subject are provided. A first dataset comprising timestamped autonomous glucose measurements of the subject over a first time course is obtained. A second dataset, associated with a standing insulin regimen for the subject over the first time course and comprising insulin medicament records, is also obtained. Each record comprises a timestamped administration event including an amount and type of insulin medicament administered into the subject by an insulin delivery device. The first and second datasets serve to calculate a glycemic risk measure and an insulin sensitivity factor of the subject during the first time course, which are used to obtain a basal rate titration schedule and a fasting blood glucose profile model over a subsequent second time course for the subject. The model predicts the fasting blood glucose level of the subject based upon amounts of insulin medicament administered into the subject.

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Seattle, WA, United States of America

Brad Warren Van Orden