Evolution of Glycemic Targets in Management of Diabetes

Background: The treatment of type 2 diabetes mellitus (T2DM) is complex; only a few patients successfully attain glycemic targets with monotherapy, most requiring drug combination therapy. Methods: The goal of this review was to identify in PubMed the complimentary ways of action leading to clinical benefit (in lowering HbA1c, body weight, renal, and cardiac risk factors and events) of the combination of sodium glucose cotransporter 2 inhibitors (SGLT2i) and glucagon-like peptide-1 receptor agonists (GLP-1 RA). Results: SGLT2i, an emerging class of antidiabetic agents with an insulin-independent mechanism of action, are suitable for use in combination with any other class of antidiabetics, including insulin. The use of SGLT2i causes a reduction in Cardiovascular Disease (CVD) morbidity (mainly heart failure-HF) as well as total and CVD mortality. Besides insulin, SGLT2i may also be combined with incretin-based therapies, such as GLP-1 RA. The latter appears to reduce the rate or the progression of both macrovascular (mainly myocardial infarction-MI and stroke) and microvascular complications of DM, having a beneficial effect on all-cause mortality and CVD mortality, as well as CVD events. SGLT2i and GLP-1 RA may have a synergic effect on glucose reduction, weight reduction, renal impairment (both an independent lethal disease and a CVD risk factor) improvement, and cardiac event reduction, because the first reduces HF and related events and the second decreases CVD risk (mainly MI and stroke). Both also reduce total mortality, especially when combined with a statin. Conclusion: The combination of metformin with SGLT2i, GLP-1 RA, and a potent statin, in high CVD risk patients with DM, is expected to substantially reduce CVD mortality and morbidity, improving the quality of life of patients with DM at the same time. Prospective studies are needed to confirm this finding.

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Automated Insulin Delivery Systems: Today, Tomorrow and User Requirements

Journal of Diabetes Science and Technology ◽

10.1177/19322968211029937 ◽

2021 ◽

pp. 193229682110299

Author(s):

Marga Giménez ◽

Ignacio Conget ◽

Nick Oliver

Keyword(s):

Lived Experience ◽

Diabetes Management ◽

Real Life ◽

Insulin Delivery ◽

Qualitative Assessment ◽

Management Tool ◽

Diabetes Distress ◽

Glycemic Targets

Automated insulin delivery (AID) is the most recent advance in type 1 diabetes (T1D) management. It has the potential to achieve glycemic targets without disabling hypoglycemia, to improve quality of life and reduce diabetes distress and burden associated with self-management. Several AID systems are currently licensed for use by people with T1D in Europe, United States, and the rest of the world. Despite AID becoming a reality in routine clinical practice over the last few years, the commercially hybrid AID and other systems, are still far from a fully optimized automated diabetes management tool. Implementation of AID systems requires education and support of healthcare professionals taking care of people with T1D, as well as users and their families. There is much to do to increase usability, portability, convenience and to reduce the burden associated with the use of the systems. Co-design, involvement of people with lived experience of T1D and robust qualitative assessment is critical to improving the real-world use of AID systems, especially for those who may have greater need. In addition to this, information regarding the psychosocial impact of the use of AID systems in real life is needed. The first commercially available AID systems are not the end of the development journey but are the first step in learning how to optimally automate insulin delivery in a way that is equitably accessible and effective for people living with T1D.

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