Diabetes Therapy最新文献

High-quality clinical trial data demonstrate that remission is possible for people living with type 2 diabetes (T2D) if they lose a large amount of weight (≥ 10 kg). Durable remission appears predicated on the long-term maintenance of weight loss. Unfortunately, long-term follow-up data from lifestyle-based weight loss programmes show that, on average, most people regain at least some of the weight lost. In addition, restoration of a diminished first-phase insulin response also appears necessary for durable remission, and this becomes less likely as T2D progresses. A pragmatic approach to enhance the effects of weight loss on durable remission is to consider whether dietary components could help control blood glucose, independent of caloric balance. This manuscript reviews current evidence on weight-neutral effects of diet on blood glucose, including high-protein, low-carbohydrate, high-fibre and plant-based diets, with a particular focus on the effect of nutrition on the underlying pathophysiology of T2D, including the first-phase insulin response. The importance of mechanistic data in enhancing our understanding of dietary strategies in T2D remission is described, and suggestions are made for future advances in remission research.

Given the progressive nature of type 2 diabetes (T2D), most individuals with the disease will ultimately undergo treatment intensification. This usually involves the stepwise addition of a new glucose-lowering agent or switching to a more complex insulin regimen. However, complex treatment regimens can result in an increased risk of hypoglycaemia and high treatment burden, which may impact negatively on both therapeutic adherence and overall quality of life. Individuals with good glycaemic control may also be overtreated with unnecessarily complex regimens. Treatment simplification aims to reduce individual treatment burden, without compromising therapeutic effectiveness or safety. Despite data showing that simplifying therapy can achieve good glycaemic control without negatively impacting on treatment efficacy or safety, it is not always implemented in clinical practice. Current clinical guidelines focus on treatment intensification, rather than simplification. Where simplification is recommended, clear guidance is lacking and mostly focused on treatment of the elderly. An expert, multidisciplinary panel evaluated the current treatment landscape with respect to guidance, published evidence, recommendations and approaches regarding simplification of complex insulin regimens. This article outlines the benefits of treatment simplification and provides practical recommendations on simplifying complex insulin treatment strategies in people with T2D using illustrative cases.

Introduction: Severe hypoglycemic events (SHE) represent a clinical and economic burden in patients with diabetes. Nasal glucagon (NG) is a novel treatment for SHEs with similar efficacy, but with a usability advantage over injectable glucagon (IG) that may translate to improved economic outcomes. The economic implications of this usability advantage on SHE-related spending in Spain were explored in this analysis.

Methods: A cost-offset and budget impact analysis (BIA) was conducted using a decision tree model, adapted for the Spanish setting. The model calculated average costs per SHE over the SHE treatment pathway following a treatment attempt with IG or NG. Analyses were performed separately in three populations with insulin-treated diabetes: children and adolescents (4-17 years) with type 1 diabetes (T1D), adults with T1D and adults with type 2 diabetes (T2D), with respective population estimates applied in BIA. Treatment probabilities were assumed to be equal for IG and NG, except for treatment success following glucagon administration. Epidemiologic and cost data were obtained from Spanish-specific sources. BIA results were presented at a 3-year time horizon.

Results: On a per SHE level, NG was associated with lower costs compared to IG (children and adolescents with T1D, EUR 820; adults with T1D, EUR 804; adults with T2D, EUR 725). Lower costs were attributed to reduced costs of professional medical assistance in patients treated with NG. After 3 years, BIA showed that relative to IG, the introduction of NG was projected to reduce SHE-related spending by EUR 1,158,969, EUR 142,162,371, and EUR 6,542,585 in children and adolescents with T1D, adults with T1D, and adults with insulin-treated T2D, respectively.

Conclusions: In Spain, the usability advantage of NG over IG translates to potential cost savings per SHE in three populations with insulin-treated diabetes, and the introduction of NG was associated with a lower budget impact versus IG in each group.

Introduction: As novel therapies for chronic kidney disease (CKD) in type 2 diabetes mellitus (T2DM) become available, their long-term benefits should be evaluated using CKD progression models. Existing models offer different modeling approaches that could be reused, but it may be challenging for modelers to assess commonalities and differences between the many available models. Additionally, the data and underlying population characteristics informing model parameters may not always be evident. Therefore, this study reviewed and summarized existing modeling approaches and data sources for CKD in T2DM, as a reference for future model development.

Methods: This systematic literature review included computer simulation models of CKD in T2DM populations. Searches were implemented in PubMed (including MEDLINE), Embase, and the Cochrane Library, up to October 2021. Models were classified as cohort state-transition models (cSTM) or individual patient simulation (IPS) models. Information was extracted on modeled kidney disease states, risk equations for CKD, data sources, and baseline characteristics of derivation cohorts in primary data sources.

Results: The review identified 49 models (21 IPS, 28 cSTM). A five-state structure was standard among state-transition models, comprising one kidney disease-free state, three kidney disease states [frequently including albuminuria and end-stage kidney disease (ESKD)], and one death state. Five models captured CKD regression and three included cardiovascular disease (CVD). Risk equations most commonly predicted albuminuria and ESKD incidence, while the most predicted CKD sequelae were mortality and CVD. Most data sources were well-established registries, cohort studies, and clinical trials often initiated decades ago in predominantly White populations in high-income countries. Some recent models were developed from country-specific data, particularly for Asian countries, or from clinical outcomes trials.

Conclusion: Modeling CKD in T2DM is an active research area, with a trend towards IPS models developed from non-Western data and single data sources, primarily recent outcomes trials of novel renoprotective treatments.