Dachuang Cao

Identifying insulin treatment responders with a composite measure: beyond Hba1c < 7% in patients with type 2 diabetes

Abstract Objectives: Many insulin-treated patients with type 2 diabetes (T2D) do not reach hemoglobin A1c (HbA1c) < 7%, but have clinically relevant HbA1c reductions. Using an integrated database (IDB) of 53 insulin lispro clinical trials and a real-world evidence (RWE) database of T2D patients initiating insulin therapy, an expanded HbA1c measure was used to identify responders to insulin therapy. Methods: Analysis included 4,908 patients (IDB) and 1,134 patients (RWE) with T2D treated with any insulin regimen with a baseline and ≥1 post-baseline HbA1c. Responders were defined as patients with endpoint HbA1c < 7% (cut point [CP]) and/or either ≥1% absolute (ABS) decrease, and/or ≥10% relative (REL) decrease in HbA1c from baseline. The percentage of responders with CP vs ABS and concordance between ABS and REL were calculated. As the ABS and REL measures were highly correlated (94%), the ABS measure was used to compare characteristics of responders and non-responders by age, diabetes duration, race/ethnicity, baseline HbA1c, and insulin regimen at 24 weeks. Results: In both databases, more responders were identified with ABS or REL (>62%) than CP (<41%). More ABS responders had a baseline HbA1c ≥ 9% and a shorter diabetes duration than non-responders. Basal insulin-treated patients in the IDB had 78.2% responders at 24 weeks, compared to 69.7% with basal/bolus or pre-mixed insulin (75.4%). Results were similar in the IDB and RWE. Conclusion: Composite HbA1c measures identified more patients with clinically meaningful responses to therapy than the broadly accepted HbA1c < 7% and may be useful in assessing clinical trials, clinical care, and quality measures.

Insulin non-persistence among people with type 2 diabetes: how to get your patients to stay on insulin therapy

ABSTRACT Continuing use of medication is key to effective treatment and positive health outcomes, particularly in chronic conditions such as diabetes. However, in primary care, non-persistence (i.e. discontinuing or interrupting treatment) with insulin therapy is a common problem among patients with type 2 diabetes. To help primary care physicians manage patients who are non-persistent or likely not to be persistent, this review aimed to provide an overview of modifiable and non-modifiable factors associated with insulin non-persistence as well as practical strategies to address them. Data were extracted from published studies evaluating factors associated with non-persistence among patients with type 2 diabetes. A targeted literature review was performed using PubMed to identify recent studies (2000–2016) reporting measures of non-persistence with insulin therapy. Practical strategies to identify and prevent non-persistence were based on the authors’ direct experience in primary care. Non-modifiable factors associated with non-persistence included gender, age, prior treatments, and cost of therapy. Before/at insulin initiation, modifiable factors included patients’ perception of diabetes, preference for oral medication, and concerns/expectations about treatment complexity, inconvenience, or side effects. After initiation, modifiable factors included syringe use, difficulties during the first week of therapy, side effects, and insufficient glycemic control. Open-ended and patient-centered questions and a blame-free environment can help physicians identify, prevent, and reduce non-persistence behaviors. Possible questions to start a conversation with patients are provided. Effective physician-patient communication is essential to the management of diabetes. Primary care physicians should be familiar with the most common reasons for insulin non-persistence.