Basal insulin titration algorithms in patients with type 2 diabetes: the simplest is the best (?)

Author:

Katerenchuk V.I.ORCID

Abstract

Basal insulin is the first and main component of insulin therapy in patients with type 2 diabetes mellitus (T2DM). Based on the shortcomings of human NPH insulin and the advantages provided by long-acting basal insulin analogues, they are recommended for priority use in patients with T2DM. The leading factor in the success of insulin therapy is titration of its dose with the achievement of the target range of glycemia. Data from clinical trials and real clinical practice indicate that simpler dose titration algorithms ensure better achievement of glycemic goals with a lower risk of hypoglycemia. In addition, simple dose titration algorithms are better accepted by patients and increase satisfaction with treatment. The leading societies of diabetologists ADA/EASD and AACE/ACE recommend the use of simple dose titration algorithms. Recent clinical trials on the effectiveness of the insulin glargine dose titration based on the INSIGHT algorithm, which, unlike the traditional options for changing the dose 1–2 times a week, involves a daily correction of the insulin glargine dose by 1 Unit, have proven its effectiveness and safety. Most patients prefer this type of insulin dose titration. The same titration algorithm can be used for a fixed combination of glargine with lixisenatide, which was also confirmed by the results of clinical trials. In general, simplified options for correcting the basal insulin dose have demonstrated their effectiveness and allow increasing the percentage of patients who manage to achieve the glycemic goal without increasing the risk of hypoglycemia. When prescribing basal insulin, physician must determine the target range of glycemia, demonstrate the titration algorithm that is acceptable for each insulin and which a patient will use to achieve the glycemic goal.

Publisher

Publishing House Zaslavsky

Subject

General Earth and Planetary Sciences,General Environmental Science

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