The epidemic of type 2 diabetes (T2DM) that has affected the world's populations threatens to become this century's major public health problem. The enormous human and economic costs associated with the epidemic in the US (prevalence of ~25 million, incidence 1.9 million per year) are related primarily to the development of long-term complications including retinopathy, nephropathy, and neuropathy that cause more cases of blindness, renal failure, and amputations than any other disease. Cardiovascular disease (CVD) is increased 2-5 fold in T2DM and is the leading cause of premature death. High quality clinical trials have established the importance of lowering glycemia to reduce long-term complications. Progression of T2DM usually requires addition of a second agent to metformin, the accepted first line treatment. With the development of numerous new classes of glucose-lowering drugs, evidence to guide the choice of the second agent is lacking, prompting the proliferation of conflicting guidelines that acknowledge this deficiency. Moreover, while these agents are typically used for many years, data on long-term use are non-existent. Comparative effectiveness research is a high priority to improve public health and maximize cost-effectiveness in the treatment of T2DM. In addition, efforts to individualize T2DM therapy and determine whether selected therapies work better in some patients than others are needed, as are studies to understand differential effects of various therapies on metabolism over time. The Glycemia Reduction Approaches in Diabetes: A Comparative Effectiveness (GRADE) Study will address these questions in a randomized, pragmatic clinical trial in 6000 patients with recent-onset (<5 years duration) T2DM. GRADE will compare the metabolic effects of four common glucose-lowering medications, the sulfonylurea glimepiride, DPP-4 inhibitor sitagliptin, GLP-1 agonist liraglutide, and basal insulin glargine, added to metformin, over a clinically meaningful duration, with a mean exposure of 4.5 (3-6) years. The primary outcome is the time to primary metabolic failure (hemoglobin A1c (A1C)>7%, subsequently confirmed).Other outcomes include mean A1C;time to a secondary metabolic outcome of A1C>7.5%, confirmed, after which basal insulin "rescue" therapy will be added;and adverse effects such as weight gain and hypoglycemia, effects on selected microvascular disease and CVD risk factors, tolerability and quality-of-life, and cost and cost-effectiveness. We will also examine the phenotypic characteristics and pathophysiologic factors associated with metabolic response to and/or failure of the drug combinations.
T2DM, a chronic disease with long-term complications, affects 25 million persons in the US. Clinical trials have established the importance of lowering glucose levels to delay or prevent complications of diabetes that cause more vision loss, kidney failure and amputations than any other disease. Still, the medications most likely to maintain goal glucose levels over time are unknown thus the GRADE study will identify the most effective means of treating T2DM, comparing drug effects on glucose levels, adverse effects, diabetes complications, and quality of life, and will have major public health implications.
|Dubowitz, N; Xue, W; Long, Q et al. (2014) Aging is associated with increased HbA1c levels, independently of glucose levels and insulin resistance, and also with decreased HbA1c diagnostic specificity. Diabet Med 31:927-35|
|Paynter, Nina P; LaMonte, Michael J; Manson, JoAnn E et al. (2014) Comparison of lifestyle-based and traditional cardiovascular disease prediction in a multiethnic cohort of nonsmoking women. Circulation 130:1466-73|
|Lachin, John M (2014) Applications of the Wei-Lachin multivariate one-sided test for multiple outcomes on possibly different scales. PLoS One 9:e108784|
|Ang, Lynn; Jaiswal, Mamta; Martin, Catherine et al. (2014) Glucose control and diabetic neuropathy: lessons from recent large clinical trials. Curr Diab Rep 14:528|
|Nathan, David M; Buse, John B; Kahn, Steven E et al. (2013) Rationale and design of the glycemia reduction approaches in diabetes: a comparative effectiveness study (GRADE). Diabetes Care 36:2254-61|
|Lachin, John M (2013) Sample size and power for a logrank test and Cox proportional hazards model with multiple groups and strata, or a quantitative covariate with multiple strata. Stat Med :|
|Awoniyi, Omodele; Rehman, Rabia; Dagogo-Jack, Samuel (2013) Hypoglycemia in patients with type 1 diabetes: epidemiology, pathogenesis, and prevention. Curr Diab Rep 13:669-78|