• Annals of medicine · Sep 2018

    Review

    Approaches to rapid acting insulin intensification in patients with type 2 diabetes mellitus not achieving glycemic targets.

    • Alexandra Migdal, Martin Abrahamson, Anne Peters, and Nan Vint.
    • a Department of Medicine , Emory University , Atlanta , GA , USA.
    • Ann. Med. 2018 Sep 1; 50 (6): 453460453-460.

    AbstractType 2 diabetes mellitus (T2DM) is a growing problem in the USA, affecting 30.3 million Americans, or 9.4% of the US population. Given that T2DM is a progressive disease, intensification of rapid acting insulin (RAI) to address hyperglycaemia is often required. The American Diabetes Association and the European Association for the Study of Diabetes recommend individualizing the treatment approach to glucose control, considering factors such as age, health behaviours, comorbidities and life expectancy. There are several validated treatment algorithms in the literature, which can be helpful for providing guidance on initiation of RAI while simultaneously considering patient preferences and clinical needs during treatment intensification. This paper provides expert recommendations on prandial insulin regimens and how to use treatment algorithms to promote better glucose control through best practice guidelines. To help patients reach HbA1c targets through treatment intensification, the FullSTEP, SimpleSTEP, ExtraSTEP and AUTONOMY algorithms are discussed in this paper. KEY MESSAGES Clinical inertia should be prevented with timely intensification of therapy when HbA1c levels are greater than 7% (or rising above a patient's individual target) according to national guidelines. Increased personalization in the intensification of T2D treatment is necessary to improve HbA1c targets while addressing risk of hypoglycaemia, concern about weight gain, and overall health goals. Healthcare providers are encouraged to address glycaemic control with a variety of strategies, including prandial insulin, while developing evidence-based treatment plans on the basis of algorithms discussed in the literature.

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