Lack of coordination between partners: investigation of Physician-Preferred and Patient-Preferred (4P) basal insulin titration algorithms in the real world

Predictors of success and failure in achieving glycemic control targets in patients with type 2 diabetes on basal insulin: review of the real-world evidence studies

Basal insulin (BI) is the main therapeutic option for patients with type 2 diabetes (T2D) who have not reached glycemic targets on oral antidiabetic drugs and/or glucagon-like peptide-1 receptor agonists. The results of epidemiological studies indicate that the majority of patients with T2D do not achieve the targeted parameters of glycemic control on BI in the real-world settings. In this review the results of real-world evidence studies assessing predictors of success or failure of BI therapy in patients with T2D are we summarized. A number of studies have demonstrated that delayed initiation of insulin therapy with a high level of glycated hemoglobin A1c (HbA1c) at the start of the treatment reduces achieving glycemic control targets on BI. Hypoglycemia in the first weeks or months of BI treatment may reduce the adherence and persistence to treatment and likelihood of achieving treatment targets. In real-world evidence studies, glargine 300 U/mL and degludec, the long-acting second-generation insulin analogues, have shown greater potential in reduction of HbA1c levels with a lower risk of hypoglycaemia compared to other BIs. In the DUNE, ATOS, and some others studies, a lack of insulin dose titration in newly initiated BI users and those who needed treatment intensification was demonstrated. Poor treatment adherence and persistence (missed injections, incorrect dose selection, and temporary or permanent discontinuation of insulin therapy), deviations in insulin injection technique, and formation of lipohypertrophy at the injection sites are also common problems that prevent good glycemic control in these patients. Therefore, patient education with a focus on injection technique, dose titration and prevention of hypoglycemia, as well as the use of the second-generation BI analogs, increases the chances for achieving glycemic control targets in patients with T2D who initiate or need to intensify BI therapy.

Time for Using Machine Learning for Dose Guidance in Titration of People With Type 2 Diabetes? A Systematic Review of Basal Insulin Dose Guidance

BACKGROUND

Real-world studies of people with type 2 diabetes (T2D) have shown insufficient dose adjustment during basal insulin titration in clinical practice leading to suboptimal treatment. Thus, 60% of people with T2D treated with insulin do not reach glycemic targets. This emphasizes a need for methods supporting efficient and individualized basal insulin titration of people with T2D. However, no systematic review of basal insulin dose guidance for people with T2D has been found.

OBJECTIVE

To provide an overview of basal insulin dose guidance methods that support titration of people with T2D and categorize these methods by characteristics, effect, and user experience.

METHODS

The review was conducted according to the Preferred Reporting Items for Systematic Review and Meta-Analysis (PRISMA) guidelines. Studies about basal insulin dose guidance, including adults with T2D on basal insulin analogs published before September 7, 2022, were included. Joanna Briggs Institute critical appraisal checklists were applied to assess risk of bias.

RESULTS

In total, 35 studies were included, and three categories of dose guidance were identified: paper-based titration algorithms, telehealth solutions, and mathematical models. Heterogeneous reporting of glycemic outcomes challenged comparison of effect between the three categories. Few studies assessed user experience.

CONCLUSIONS

Studies mainly used titration algorithms to titrate basal insulin as telehealth or in paper format, except for studies using mathematical models. A numerically larger proportion of participants seemed to reach target using telehealth solutions compared to paper-based titration algorithms. Exploring capabilities of machine learning may provide insights that could pioneer future research while focusing on holistic development.

Diabetes Patients' Acceptance of Injectable Treatment, a Scientometric Analysis

Diabetes is a condition associated with multiple systemic secondary risk factors, besides pancreatic dysfunctions, affecting the population worldwide and with high costs impacting the healthcare systems. This paper aims to identify the major issues in patients' adherence to injectable diabetes treatment. After the interrogation of the Web of Science database, a scientometric map was generated, from which six directions of approach were identified as essential factors influencing the patient's adherence. These directions yielded clusters of related articles. Glycemic control with the endocrinology metabolic implications, lifestyle adjustments, the healthcare services, medication therapy algorithm, healthcare services digitalization and healthcare policies seem to have a major impact on injectable diabetes therapy and patient adherence. Further research on every one of the six directions is needed to identify the potential of increasing injectable treatment adherence in diabetes patients.

Practical guidance on the initiation, titration, and switching of basal insulins: a narrative review for primary care

Many patients with type 2 diabetes will ultimately require the inclusion of basal insulin in their treatment regimen. Since most people with type 2 diabetes are managed in the community, it is important that primary care providers understand and correctly manage the initiation and titration of basal insulins, and help patients to self-manage insulin injections. Newer, long-acting basal insulins provide greater stability and flexibility than older preparations and improved delivery systems. Basal insulin is usually initiated at a conservative dose of 10 units/day or 0.1-0.2 units/kg/day, then titrated thereafter over several weeks or months, based on patients' self-measured fasting plasma glucose, to achieve an individualized target (usually 80-130 mg/dL). Through a shared decision-making process, confirmation of appropriate goals and titration methods should be established, including provisions for events that might alter scheduled titration (e.g. travel, dietary change, illness, hospitalization, etc.). Although switching between basal insulins is usually easily accomplished, pharmacokinetic and pharmacodynamic differences between formulations require clinicians to provide explicit guidance to patients. Basal insulin is effective long-term, but overbasalization (continuing to escalate dose without a meaningful reduction in fasting plasma glucose) should be avoided.Key messagesPrimary care providers often initiate basal insulin for people with type 2 diabetes.Basal insulin is recommended to be initiated at 10 units/day or 0.1-0.2 units/kg/day, and doses must be titrated to agreed fasting plasma glucose goals, usually 80-130 mg/dL. A simple rule is to gradually increase the initial dose by 1 unit per day (NPH, insulin detemir, and glargine 100 units/mL) or 2-4 units once or twice per week (NPH, insulin detemir, glargine 100 and 300 units/mL, and degludec) until FPG levels remain consistently within the target range. If warranted, switching between basal insulins can be done using simple regimens.The dose of basal insulin should be increased as required up to approximately 0.5-1.0 units/kg/day in some cases. Overbasalization (continuing to escalate dose without a meaningful reduction in fasting plasma glucose) is not recommended; rather re-evaluation of individual therapy, including consideration of more concentrated basal insulin preparations and/or short-acting prandial insulin as well as other glucose-lowering therapies, is suggested.