Pharmacokinetics and pharmacodynamics of insulin lispro protamine suspension compared with insulin glargine and insulin detemir in type 2 diabetes.

OBJECTIVE: The primary aim was to evaluate duration of action of a single 0.8 U/kg dose of insulin lispro protamine suspension (ILPS) in type 2 diabetes (T2DM) patients; secondarily to compare onset and duration of action of ILPS, glargine (G), and detemir (D) (0.8 U/kg) and evaluate pharmacokinetic (PK) and pharmacodynamic (PD) dose responses of ILPS. RESEARCH DESIGN AND METHODS: In a single-center, double-blind, five-arm crossover study, 34 patients were randomized to a treatment sequence which included a single subcutaneous 0.8 U/kg dose of G and D and three doses of ILPS (0.4 U/kg, 0.8 U/kg, and 1.2 U/kg) and were studied using 24-hour euglycemic glucose clamps. PRIMARY OUTCOME MEASURE: Duration of action was determined as the time to the last measurable glucose infusion rate (tR(last)) during glucose clamps. RESULTS: The duration of insulin action (tR(last)) for ILPS at 0.8 U/kg was >23 hours and was similar to G (p = 0.114) and D (p = 0.570). Post-hoc analysis demonstrated the probability of achieving 24 hours of glucose-lowering activity after a 0.8 U/kg dose: 48% (ILPS), 43% (G), and 26% (D). G(tot) and R(max) were significantly greater for ILPS versus G or D. The median ILPS time-dependent values demonstrated a significantly earlier maximum PD response (tR(max) and early 50% tR(max)) versus either G or D. ILPS demonstrated dose-dependent increases in PK and PD measures across the dose range. CONCLUSIONS: Following a single 0.8 U/kg dose in T2DM patients, ILPS, G, and D demonstrated similar durations of glucose-lowering activity and ILPS demonstrated significantly greater glucose-lowering activity (R(max) and G(tot)) and earlier maximum PD response. These results potentially support once-daily dosing of ILPS in T2DM. LIMITATIONS: The observed number of 24-hour censored observations was higher than expected and the wash-out period for basal insulin treated patients may have been too short to definitively rule out a carry-over effect; however, such an effect, if present, would potentially only affect onset of action and not the primary outcome measure.

Impact of prandial plus basal vs basal insulin on glycemic variability in type 2 diabetic patients.

OBJECTIVE: To determine whether metformin-treated patients with type 2 diabetes given an analogue mixture of basal and rapid-acting insulins (insulin lispro protamine suspension plus insulin lispro) would have less glycemic variability than patients given basal insulin glargine. METHODS: Two post hoc analyses were used to compare 7-point blood glucose profiles from 3 published studies comparing basal plus prandial premixed insulin lispro mixtures with insulin glargine in metformin-treated patients with type 2 diabetes. Glycemic variability indices used included standard deviation of mean daily blood glucose, coefficient of variation, M-value, mean amplitude of glycemic excursion, and J-index. RESULTS: Patients on the twice-daily insulin lispro mix 75/25 (75% insulin lispro protamine suspension/25% insulin lispro) plus metformin regimen had significantly lower standard deviation, M-value, and J-index than patients on the insulin glargine plus metformin regimen, but not lower coefficient of variation or mean amplitude of glycemic excursion. Patients on the 3 times daily insulin lispro mix 50/50 (50% insulin lispro protamine suspension/50% insulin insulin lispro) plus metformin regimen had significantly lower values for all 5 indices than patients on the insulin glargine plus metformin regimen. CONCLUSION: Use of basal plus prandial insulin lispro mixtures at 2 or 3 meals was associated with lower glycemic variability in metformin-treated patients with type 2 diabetes.

Effects of prandial versus fasting glycemia on cardiovascular outcomes in type 2 diabetes: the HEART2D trial.

OBJECTIVE: Hyperglycemia and Its Effect After Acute Myocardial Infarction on Cardiovascular Outcomes in Patients With Type 2 Diabetes Mellitus (HEART2D) is a multinational, randomized, controlled trial designed to compare the effects of prandial versus fasting glycemic control on risk for cardiovascular outcomes in patients with type 2 diabetes after acute myocardial infarction (AMI). RESEARCH DESIGN AND METHODS: Patients (type 2 diabetes, aged 30-75 years) were randomly assigned within 21 days after AMI to the 1) prandial strategy (PRANDIAL) (three premeal doses of insulin lispro targeting 2-h postprandial blood glucose <7.5 mmol/l) or the 2) basal strategy (BASAL) (NPH twice daily or insulin glargine once daily targeting fasting/premeal blood glucose <6.7 mmol/l). RESULTS: A total of 1,115 patients were randomly assigned (PRANDIAL n = 557; BASAL n = 558), and the mean patient participation after randomization was 963 days (range 1-1,687 days). The trial was stopped for lack of efficacy. Risks of first combined adjudicated primary cardiovascular events in the PRANDIAL (n = 174, 31.2%) and BASAL (n = 181, 32.4%) groups were similar (hazard ratio 0.98 [95% CI 0.8-1.21]). Mean A1C did not differ between the PRANDIAL and BASAL groups (7.7 +/- 0.1 vs. 7.8 +/- 0.1%; P = 0.4) during the study. The PRANDIAL group showed a lower daily mean postprandial blood glucose (7.8 vs. 8.6 mmol/l; P < 0.01) and 2-h postprandial blood glucose excursion (0.1 vs. 1.3 mmol/l; P < 0.001) versus the BASAL group. The BASAL group showed lower mean fasting blood glucose (7.0 vs. 8.1 mmol/l; P < 0.001) and similar daily fasting/premeal blood glucose (7.7 vs. 7.3 mmol/l; P = 0.233) versus the PRANDIAL group. CONCLUSIONS: Treating diabetic survivors of AMI with prandial versus basal strategies achieved differences in fasting blood glucose, less-than-expected differences in postprandial blood glucose, similar levels of A1C, and no difference in risk for future cardiovascular event rates.

Natural history of cardiovascular disease in patients with diabetes: role of hyperglycemia.

Atherosclerotic vascular disease is more common in diabetic than in nondiabetic individuals. Diabetic macrovascular disease also has a more severe course with greater prevalence of multiple-vessel coronary artery disease and more diffuse elongated atheromas in affected blood vessels. In this review, we discuss possible reasons for increased incidence of cardiovascular (CV) events in individuals with diabetes. Although an increased prevalence of standard CV risk factors has been clearly documented in association with diabetes, diabetes-related abnormalities, particularly hyperglycemia, also play an important role. Epidemiological studies suggest that the effect of hyperglycemia on CV risk is independent of other known risk factors, but no data from primary interventional trials are available yet. Analysis of datasets from populations that included individuals with impaired glucose tolerance and impaired fasting glucose suggest that the pathogenic role of hyperglycemia on the blood vessel wall already exists in the early stages of glucose intolerance. The effect of postprandial or postchallenge hyperglycemia seems to be greater than the effect of fasting blood glucose abnormalities. The relationship of postprandial glycemia, fasting blood glucose, and CV risk in individuals with diagnosed (or overt) diabetes is less clear, although most reports indicate a greater pathogenic potential of postprandial hyperglycemia rather than fasting hyperglycemia. Based on the results of epidemiological reports, the most appropriate targets in interventional trials are postprandial hyperglycemia or A1C.

Inhaled insulin for controlling blood glucose in patients with diabetes.

Diabetes mellitus is a significant worldwide health problem, with the incidence of type 2 diabetes increasing at alarming rates. Insulin resistance and dysregulated blood glucose control are established risk factors for microvascular complications and cardiovascular disease. Despite the recognition of diabetes as a major health issue and the availability of a growing number of medications designed to counteract its detrimental effects, real and perceived barriers remain that prevent patients from achieving optimal blood glucose control. The development and utilization of inhaled insulin as a novel insulin delivery system may positively influence patient treatment adherence and optimal glycemic control, potentially leading to a reduction in cardiovascular complications in patients with diabetes.

Combined therapy with insulin lispro Mix 75/25 plus metformin or insulin glargine plus metformin: a 16-week, randomized, open-label, crossover study in patients with type 2 diabetes beginning insulin therapy.

OBJECTIVE: This study aimed to assess glycemic response to a mixture of 75% insulin lispro protamine suspension and 25% insulin lispro (Mix 75/25) BID plus metformin versus insulin glargine QD plus metformin in patients with type 2 diabetes mellitus (DM). METHODS: Adults new to insulin therapy were enrolled in a multicenter, randomized, prospective, open-label, crossover study with 16 weeks on each treatment. Variables included glycosylated hemoglobin (HbA(1c)), hypoglycemia rate, fasting blood glucose (FBG), 2-hour postprandial blood glucose (ppBG), and rise in blood glucose after meals. RESULTS: One hundred five patients (mean age, 55 years) were randomized. There was no difference in baseline mean values for either treatment sequence group for body mass index, duration of DM, or HbA(1c). Ninety-five patients completed the study and 67 were included in the efficacy analysis. Mix 75/25 was associated with lower mean (SD) HbA(1c) at end point (7.4% [1.1%] vs 7.8% [1.1%]; P = 0.002). More patients using Mix 75/25 achieved target HbA(1c) < or =7.0% (42% [30/71] vs 18% [13/71]; P < 0.001). With Mix 75/25, the mean (SD) 2-hour ppBG was similar after lunch but lower after breakfast (156.4 [43.6] vs 171.1 [44.9] mg/dL; P = 0.012) and dinner (164.8 [42.5] mg/dL vs 193.8 [51.0] mg/dL; P < 0.001), although FBG was higher (139.3 [36.6] mg/dL vs 123.9 [34.9] mg/dL; P < 0.001). Rise in ppBG was lower with Mix 75/25 after breakfast (16.9 [47.0] mg/dL vs 47.4 [34.8] mg/dL; P < 0.001) and dinner (14.2 [44.1] mg/dL vs 45.9 [41.3] mg/dL; P < 0.001). Gain in mean (SD) body weight was greater with Mix 75/25 than insulin glargine (2.3 [4.0] kg vs 1.6 [4.0] kg; P = 0.006). For all randomized patients, mean (SD) hypoglycemia rates were lower with insulin glargine (0.68 [1.38] vs 0.39 [1.24] episodes/patient per 30 days; P = 0.041), although nocturnal hypoglycemia was similar. CONCLUSION: In this study population, Mix 75/25 plus metformin was associated with lower HbA(1c) than insulin glargine plus metformin, smaller rise in ppBG after breakfast and dinner, and higher proportion of patients achieving HbA(1c) < or =7.0%, with a slight increase in overall (but not nocturnal) hypoglycemia.

Therapy after single oral agent failure: adding a second oral agent or an insulin mixture?

AIM: to compare the glycemic response to an insulin lispro mixture (25% insulin lispro and 75% NPL) twice daily plus metformin (Mix25+M) with glibenclamide plus metformin (G+M), in patients with type 2 diabetes inadequately controlled with a single oral agent. METHODS: 597 patients treated in a randomized, open-label, 16-week parallel study. Variables evaluated: hemoglobin A1C (A1C), patient symptoms, hypoglycemia rate (episodes/patient/30 days), and incidence (% patients experiencing > or =1 episode). For a subset of patients (N=120), fasting, 1-h, and 2-h postprandial plasma glucose (FPG, 1-h ppPG, 2-h ppPG) in response to a standardized test meal (STM) and self-monitored blood glucose (BG) profiles were measured. RESULTS: improved A1C at endpoint for both groups, and A1C changes from baseline to endpoint were not significantly different between treatments (Mix25+M, -1.87+/-1.35% vs. G+M, -1.98+/-1.28%; p=0.288). Among patients completing STM; endpoint 2-h ppPG was significantly lower with Mix25+M (9.05+/-3.32 mmol/l vs. 12.31+/-3.65 mmol/l; p<0.001), as was 2-h ppPG excursion (2-h ppPGex)(0.38+/-3.23 mmol/l vs. 2.88+/-1.98 mmol/l; p<0.001). Percentage of patients achieving postprandial BG targets (<10 mmol/l) at endpoint was significantly greater with Mix25+M (80% vs. 48%; p<0.001). Although, overall hypoglycemia rates were similar, percentage of patients experiencing and rate of nocturnal hypoglycemia was less with Mix25+M (1% vs. 5%; p<0.01, and 0.01 vs. 0.08 episodes/pt/30 d; p=0.007). Patients reported less polyuria with Mix25+M (p<0.001). CONCLUSION: in patients with type 2 diabetes failing on metformin or a sulfonylurea, Mix25+M provided similar overall glycemic control, lower ppPG, reduced nocturnal hypoglycemia, and fewer hyperglycemic symptoms compared to G+M.

Body composition measures from underwater weighing and dual energy X-ray absorptiometry in black and white girls: A comparative study.

The purpose of this study was to compare estimates of body composition in two ethnic groups, 31 black and 38 white girls 10 through 16 years of age, to establish accurate and precise laboratory standards for field measures of body composition in the NHLBI Growth and Health Study HC 55025. The dual energy X-ray absorptiometry (DXA) measures of fat free mass (FFM) and % body fat (%BF) were made using Hologic QDR-1000/W. Corresponding values of FFM and %BF from underwater weighing (UWW) were determined using the two-component model of Siri, and these were corrected using the model of Lohman for white girls only. In the comparison of the different models and methods, the two-component model overestimated FFM compared to estimates from DXA for black girls, as did the corrected Lohman model for white girls. The two-component model significantly overestimated %BF in both white and black girls compared to corresponding estimates from DXA. The ratio of bone mineral content (BMC)/FFM affected the degree of %BF differences in black girls but not in white girls. Also, as the density of FFM increased or approached adult status in black girls (BMC/FFM increased), differences between the two-component model and estimates from DXA decreased. In both groups of girls, the relationship of %BF from UWW and DXA are a function of the level of body fatness. DXA values of %BF are greater than those from UWW under about 24% body fat, but the converse occurs above 25% body fat. The inability of UWW using the two-component model to account for the body composition in these girls can be corrected in part by measuring the variables for a multicomponent model or more easily by using DXA estimates of body composition. © 1994 Wiley-Liss, Inc.