Increased glucose variability is associated with atrial fibrillation after coronary artery bypass.

BACKGROUND: Elevated preoperative hemoglobin A1c (HbA1c) is a predictor of poor outcomes following coronary artery bypass grafting (CABG), but the role of increased postoperative glucose variability (GV) is unknown. We hypothesized that short-term postoperative GV is associated with an increased risk of postoperative atrial fibrillation following isolated CABG. METHODS: Multicenter retrospective study of 2073 patients who underwent isolated CABG from January 2012 to March 2018. Postoperative GV in the first 24 hours was measured by standard deviation, coefficient of variation, and mean amplitude of glycemic excursions. Multivariate logistic regression assessed the independent association of GV with postoperative atrial fibrillation. RESULTS: A total of 2073 patients met the study criteria, and 446 patients (21.5%) developed postoperative atrial fibrillation. Using multivariate logistic regression to adjust for covariates, postoperative atrial fibrillation was associated with increased 24-hour GV (odds ratio [OR] = 1.16, 95% confidence interval [CI], 1.05-1.27, P < 0.01) and increased 24-hour mean glucose (OR = 1.14, 95% CI, 1.08-1.21, P < 0.01). Thus, for every 10% increase in 24-hour GV or 10 mg/dL increase in mean glucose, there was a 16% or 14% increased risk of postoperative atrial fibrillation respectively. CONCLUSIONS: Increased 24-hour GV and mean glucose are predictors of atrial fibrillation after CABG. Preoperative HbA1c is not a risk factor for postoperative atrial fibrillation after adjusting for postoperative mean glucose and GV. Further investigation is needed to determine the relationship between adherence to strict glucose control and adverse events following CABG.

Pioglitazone for diabetes prevention in impaired glucose tolerance.

BACKGROUND: Impaired glucose tolerance is associated with increased rates of cardiovascular disease and conversion to type 2 diabetes mellitus. Interventions that may prevent or delay such occurrences are of great clinical importance. METHODS: We conducted a randomized, double-blind, placebo-controlled study to examine whether pioglitazone can reduce the risk of type 2 diabetes mellitus in adults with impaired glucose tolerance. A total of 602 patients were randomly assigned to receive pioglitazone or placebo. The median follow-up period was 2.4 years. Fasting glucose was measured quarterly, and oral glucose tolerance tests were performed annually. Conversion to diabetes was confirmed on the basis of the results of repeat testing. RESULTS: Annual incidence rates for type 2 diabetes mellitus were 2.1% in the pioglitazone group and 7.6% in the placebo group, and the hazard ratio for conversion to diabetes in the pioglitazone group was 0.28 (95% confidence interval, 0.16 to 0.49; P<0.001). Conversion to normal glucose tolerance occurred in 48% of the patients in the pioglitazone group and 28% of those in the placebo group (P<0.001). Treatment with pioglitazone as compared with placebo was associated with significantly reduced levels of fasting glucose (a decrease of 11.7 mg per deciliter vs. 8.1 mg per deciliter [0.7 mmol per liter vs. 0.5 mmol per liter], P<0.001), 2-hour glucose (a decrease of 30.5 mg per deciliter vs. 15.6 mg per deciliter [1.6 mmol per liter vs. 0.9 mmol per liter], P<0.001), and HbA(1c) (a decrease of 0.04 percentage points vs. an increase of 0.20 percentage points, P<0.001). Pioglitazone therapy was also associated with a decrease in diastolic blood pressure (by 2.0 mm Hg vs. 0.0 mm Hg, P=0.03), a reduced rate of carotid intima-media thickening (31.5%, P=0.047), and a greater increase in the level of high-density lipoprotein cholesterol (by 7.35 mg per deciliter vs. 4.5 mg per deciliter [0.4 mmol per liter vs. 0.3 mmol per liter], P=0.008). Weight gain was greater with pioglitazone than with placebo (3.9 kg vs. 0.77 kg, P<0.001), and edema was more frequent (12.9% vs. 6.4%, P=0.007). CONCLUSIONS: As compared with placebo, pioglitazone reduced the risk of conversion of impaired glucose tolerance to type 2 diabetes mellitus by 72% but was associated with significant weight gain and edema. (Funded by Takeda Pharmaceuticals and others; ClinicalTrials.gov number, NCT00220961.).

Pioglitazone slows progression of atherosclerosis in prediabetes independent of changes in cardiovascular risk factors.

OBJECTIVE: To determine whether changes in standard and novel risk factors during the Actos Now for Prevention of Diabetes trial explained the slower rate of carotid intima media thickness (CIMT) progression with pioglitazone treatment in persons with prediabetes. METHODS AND RESULTS: CIMT was measured in 382 participants at the beginning and up to 3 additional times during follow-up of the Actos Now for Prevention of Diabetes trial. During an average follow-up of 2.3 years, the mean unadjusted annual rate of CIMT progression was significantly (P=0.01) lower with pioglitazone treatment (4.76×10(-3) mm/year; 95% CI: 2.39×10(-3)-7.14×10(-3) mm/year) compared with placebo (9.69×10(-3) mm/year; 95% CI: 7.24×10(-3)-12.15×10(-3) mm/year). High-density lipoprotein cholesterol, fasting and 2-hour glucose, HbA(1c), fasting insulin, Matsuda insulin sensitivity index, adiponectin, and plasminogen activator inhibitor-1 levels improved significantly with pioglitazone treatment compared with placebo (P<0.001). However, the effect of pioglitazone on CIMT progression was not attenuated by multiple methods of adjustment for traditional, metabolic, and inflammatory risk factors and concomitant medications, and was independent of changes in risk factors during pioglitazone treatment. CONCLUSIONS: Pioglitazone slowed progression of CIMT, independent of improvement in hyperglycemia, insulin resistance, dyslipidemia, and systemic inflammation in prediabetes. These results suggest a possible direct vascular benefit of pioglitazone.

Inhaled insulin improves glycemic control when substituted for or added to oral combination therapy in type 2 diabetes: a randomized, controlled trial.

BACKGROUND: Patients with type 2 diabetes who do not achieve glycemic control with oral agent therapy eventually require insulin. OBJECTIVE: To determine the effect on glycemic control of inhaled insulin alone or added to dual oral therapy (insulin secretagogue and sensitizer) after failure of dual oral therapy. DESIGN: Open-label, randomized, controlled trial. SETTING: 48 outpatient centers in the United States and Canada. PATIENTS: 309 patients with type 2 diabetes, no clinically significant respiratory disease, and hemoglobin A(1c) level of 8% to 11% who were receiving dual oral therapy. MEASUREMENTS: Primary end point was change in hemoglobin A(1c) level from baseline to 12 weeks. Secondary outcomes included hemoglobin A(1c) level less than 8% and less than 7%, hypoglycemia, weight, lipid levels, pulmonary function, insulin antibody binding, and adverse events. INTERVENTION: Inhaled insulin (Exubera; Pfizer Inc. [New York, New York], sanofi-aventis Group [Paris, France], and Nektar Therapeutics [San Carlos, California]), titrated to blood glucose, administered alone (n = 104) or added to dual oral agents (n = 103) versus oral therapy alone (n = 99). RESULTS: Reductions in hemoglobin A(1c) level were greater with inhaled insulin. Adjusted treatment group differences for inhaled insulin plus oral agents and inhaled insulin alone compared with continued oral agent therapy were -1.67 percentage points (95% CI, -1.90 to -1.44 percentage points; P < 0.001) and -1.18 percentage points (CI, -1.41 to -0.95 percentage point; P < 0.001), respectively. Hemoglobin A(1c) level less than 7% was achieved by 32% (inhaled insulin plus oral agents) and by 1% (oral agent therapy) of patients (adjusted odds ratio, 44.7 [CI, 6.0 to 335.2]). Hypoglycemia, mild weight gain, mild cough, and insulin antibodies were more frequent with inhaled insulin than with oral agent therapy alone. Pulmonary function was similar in all groups. LIMITATIONS: This study evaluated only patients with hemoglobin A1c levels of 8% to 11%, did not compare inhaled insulin with other insulins or oral therapy except a dual regimen of secretagogue and sensitizer, and lasted only 12 weeks. CONCLUSIONS: Inhaled insulin improved overall glycemic control and hemoglobin A1c level when added to or substituted for dual oral agent therapy with an insulin secretagogue and sensitizer. Consistent with other insulin therapies, hypoglycemia and mild weight gain occurred. Pulmonary function showed no between-group differences.

Diabetes Incidence and Glucose Tolerance after Termination of Pioglitazone Therapy: Results from ACT NOW.

CONTEXT: Thiazolidinediones have proven efficacy in preventing diabetes in high-risk individuals. However, the effect of thiazolidinediones on glucose tolerance after cessation of therapy is unclear. OBJECTIVE: To examine the effect of pioglitazone (PIO) on incidence of diabetes after discontinuing therapy in ACT NOW. Design, Settings and Patients: Two-hundred ninety-three subjects (placebo [PLAC], n = 138; PIO, n = 152) completed a median followup of 11.7 mo after study medication was stopped. RESULTS: Diabetes developed in 138 (12.3%) of PLAC vs 17 of 152 PIO patients (11.2%; P = not significant, PIO vs PLAC). However, the cumulative incidence of diabetes from start of study medication to end of washout period remained significantly lower in PIO vs PLAC (10.7 vs 22.3%; P < .005). After therapy was discontinued, 23.0% (35/152) of PIO-treated patients remained normal-glucose tolerant (NGT) vs 13.8% (19/138) of PLAC-treated patients (P = .04). Insulin secretion/insulin resistance index (I0-120/G0-120 × Matsuda index) was markedly lower in subjects with impaired glucose tolerance (IGT) who converted to diabetes during followup vs those who remained IGT or NGT. The decline in-cell function (insulin secretion/insulin resistance index) was similar in subjects with IGT who developed diabetes, irrespective of whether they were treated with PIO or PLAC. CONCLUSIONS: 1) The protective effect of PIO on incidence of diabetes attenuates after discontinuation of therapy, 2) cumulative incidence of diabetes in individuals exposed to PIO remained significantly (56%) lower than PLAC and a greater number of PIO-treated individuals maintained NGT after median followup of 11.4 mo, and 3) low insulin secretion/insulin resistance index is a strong predictor of future diabetes following PIO discontinuation.

Pioglitazone is equally effective for diabetes prevention in older versus younger adults with impaired glucose tolerance.

To determine the efficacy of pioglitazone to prevent type 2 diabetes in older compared to younger adults with pre-diabetes. Six hundred two participants with impaired glucose tolerance (IGT) were randomized in double blind fashion to placebo or pioglitazone for diabetes prevention in the ACT NOW study (NEJM 364:1104-1115, 2011). Cox proportional hazard regression was used to compare time to development of diabetes over a mean of 2 years between older (≥61 years) and younger participants. We compared effects of pioglitazone versus placebo on metabolic profiles, inflammatory markers, adipokines, ß cell function (disposition index), insulin sensitivity (Matsuda index), and body composition by ANOVA. Diabetes incidence was reduced by 85 % in older and 69 % in younger subjects (p = 0.41). ß cell function (disposition index) increased by 35.0 % in the older and 26.7 % in younger subjects (p = 0.83). Insulin sensitivity (Matsuda index) increased by 3.07 (5.2-fold) in older and by 2.54 (3.8-fold) in younger participants (p = 0.58). Pioglitazone more effectively increased adiponectin in older versus younger subjects (22.9 ± 3.2 µg/mL [2.7-fold] vs. 12.7 ± 1.4 µg/mL [2.2-fold], respectively; p = 0.04). Younger subjects tended to have a greater increase in whole body fat mass compared to older subjects (3.6 vs. 3.1 kg; p = 0.061). Younger and older subjects had similar decreases in bone mineral density (0.018 ± 0.0071 vs. 0.0138 ± 0.021 g/cm2). Younger and older pre-diabetic adults taking pioglitazone had similar reductions in conversion to diabetes and older adults had similar or greater improvements in metabolic risk factors, demonstrating that pioglitazone is useful in preventing diabetes in older adults.

A novel insulin resistance index to monitor changes in insulin sensitivity and glucose tolerance: the ACT NOW study.

OBJECTIVE: The objective was to test the clinical utility of Quantose M(Q) to monitor changes in insulin sensitivity after pioglitazone therapy in prediabetic subjects. Quantose M(Q) is derived from fasting measurements of insulin, α-hydroxybutyrate, linoleoyl-glycerophosphocholine, and oleate, three nonglucose metabolites shown to correlate with insulin-stimulated glucose disposal. RESEARCH DESIGN AND METHODS: Participants were 428 of the total of 602 ACT NOW impaired glucose tolerance (IGT) subjects randomized to pioglitazone (45 mg/d) or placebo and followed for 2.4 years. At baseline and study end, fasting plasma metabolites required for determination of Quantose, glycated hemoglobin, and oral glucose tolerance test with frequent plasma insulin and glucose measurements to calculate the Matsuda index of insulin sensitivity were obtained. RESULTS: Pioglitazone treatment lowered IGT conversion to diabetes (hazard ratio = 0.25; 95% confidence interval = 0.13-0.50; P < .0001). Although glycated hemoglobin did not track with insulin sensitivity, Quantose M(Q) increased in pioglitazone-treated subjects (by 1.45 [3.45] mg·min(-1)·kgwbm(-1)) (median [interquartile range]) (P < .001 vs placebo), as did the Matsuda index (by 3.05 [4.77] units; P < .0001). Quantose M(Q) correlated with the Matsuda index at baseline and change in the Matsuda index from baseline (rho, 0.85 and 0.79, respectively; P < .0001) and was progressively higher across closeout glucose tolerance status (diabetes, IGT, normal glucose tolerance). In logistic models including only anthropometric and fasting measurements, Quantose M(Q) outperformed both Matsuda and fasting insulin in predicting incident diabetes. CONCLUSIONS: In IGT subjects, Quantose M(Q) parallels changes in insulin sensitivity and glucose tolerance with pioglitazone therapy. Due to its strong correlation with improved insulin sensitivity and its ease of use, Quantose M(Q) may serve as a useful clinical test to identify and monitor therapy in insulin-resistant patients.

Impact of MyCareTeam for poorly controlled diabetes mellitus.

OBJECTIVE: Web-based diabetes management can be used to provide frequent interactions between patients and providers and thus result in improved glycemic control. METHODS: In a single-center, prospective feasibility study, 16 poorly controlled patients with either type 1 or 2 diabetes mellitus were enrolled to assess the impact of using MyCareTeam, a web-based diabetes management application, for diabetes management. Patients were asked to transfer their blood glucose data electronically, maintain exercise logs, and communicate with their provider via MyCareTeam. The provider gave clinical interventions to optimize blood glucose control and provided feedback via MyCareTeam. Diabetes, nutrition, and exercise information was also available via MyCareTeam. RESULTS: A significant reduction of over 2.22% points in hemoglobin A1C was seen for the total patient population. Differences between moderate/heavy users (n = 8) versus light/never users (n = 8) of MyCareTeam were evaluated for intergroup differences based upon utilization. Moderate/heavy users had a significant 6-month A1C reduction of 3.15 percentage points compared with a reduction of 1.28 percentage points in light/never users. Other secondary end points were improved as well, including systolic blood pressure, diastolic blood pressure, total cholesterol, high-density lipoprotein, low-density lipoprotein, and triglycerides. However, as expected, body mass index levels increased because of aggressive diabetes management with insulin therapy. CONCLUSIONS: These results demonstrate a significant treatment effect from the MyCareTeam application. A larger randomized control trial is under way at the Boston Veterans Administration Healthcare System. If these results are confirmed as expected, then web-based diabetes management may prove to be the link to achieving target American Diabetes Association glycemic goals in patients with poorly controlled diabetes.

Baseline adiponectin levels do not influence the response to pioglitazone in ACT NOW.

OBJECTIVE: Plasma adiponectin levels are reduced in type 2 diabetes mellitus (T2DM) and other insulin-resistant states. We examined whether plasma adiponectin levels at baseline and after pioglitazone treatment in impaired glucose tolerance (IGT) subjects were associated with improved insulin sensitivity (SI) and glucose tolerance status. RESEARCH DESIGN AND METHODS: A total of 602 high-risk IGT subjects in ACT NOW were randomized to receive pioglitazone or placebo with a median follow-up of 2.4 years. RESULTS: Pioglitazone reduced IGT conversion to diabetes by 72% in association with improved ß-cell function by 64% (insulin secretion/insulin resistance index) and increased tissue sensitivity by 88% (Matsuda index). In pioglitazone-treated subjects, plasma adiponectin concentration increased threefold from 13 ± 0.5 to 38 ± 2.5 µg/mL (P < 0.001) and was strongly correlated with the improvement in SI (r = 0.436, P < 0.001) and modestly correlated with glucose area under the curve during oral glucose tolerance test (r = 0.238, P < 0.005) and insulin secretion/insulin resistance index (r = 0.306, P < 0.005). The increase in adiponectin was a strong predictor of reversion to normal glucose tolerance and prevention of T2DM. In the placebo group, plasma adiponectin did not change and was not correlated with changes in glucose levels. There was an inverse association between baseline plasma adiponectin concentration and progression to diabetes in the placebo group but not in the pioglitazone group. CONCLUSIONS: Baseline adiponectin does not predict the response to pioglitazone. The increase in plasma adiponectin concentration after pioglitazone therapy in IGT subjects is strongly related to improved glucose tolerance status and enhanced tissue sensitivity to insulin.

Prevention of diabetes with pioglitazone in ACT NOW: physiologic correlates.

We examined the metabolic characteristics that attend the development of type 2 diabetes (T2DM) in 441 impaired glucose tolerance (IGT) subjects who participated in the ACT NOW Study and had complete end-of-study metabolic measurements. Subjects were randomized to receive pioglitazone (PGZ; 45 mg/day) or placebo and were observed for a median of 2.4 years. Indices of insulin sensitivity (Matsuda index [MI]), insulin secretion (IS)/insulin resistance (IR; ΔI0-120/ΔG0-120, ΔIS rate [ISR]0-120/ΔG0-120), and ß-cell function (ΔI/ΔG × MI and ΔISR/ΔG × MI) were calculated from plasma glucose, insulin, and C-peptide concentrations during oral glucose tolerance tests at baseline and study end. Diabetes developed in 45 placebo-treated vs. 15 PGZ-treated subjects (odds ratio [OR] 0.28 [95% CI 0.15-0.49]; P < 0.0001); 48% of PGZ-treated subjects reverted to normal glucose tolerance (NGT) versus 28% of placebo-treated subjects (P < 0.005). Higher final glucose tolerance status (NGT > IGT > T2DM) was associated with improvements in insulin sensitivity (OR 0.61 [95% CI 0.54-0.80]), IS (OR 0.61 [95% CI 0.50-0.75]), and ß-cell function (ln IS/IR index and ln ISR/IR index) (OR 0.26 [95% CI 0.19-0.37]; all P < 0.0001). Of the factors measured, improved ß-cell function was most closely associated with final glucose tolerance status.

Prediction of diabetes based on baseline metabolic characteristics in individuals at high risk.

OBJECTIVE: Individuals with impaired glucose tolerance (IGT) are at high risk for developing type 2 diabetes mellitus (T2DM). We examined which characteristics at baseline predicted the development of T2DM versus maintenance of IGT or conversion to normal glucose tolerance. RESEARCH DESIGN AND METHODS: We studied 228 subjects at high risk with IGT who received treatment with placebo in ACT NOW and who underwent baseline anthropometric measures and oral glucose tolerance test (OGTT) at baseline and after a mean follow-up of 2.4 years. RESULTS: In a univariate analysis, 45 of 228 (19.7%) IGT individuals developed diabetes. After adjusting for age, sex, and center, increased fasting plasma glucose, 2-h plasma glucose, G0-120 during OGTT, HbA1c, adipocyte insulin resistance index, ln fasting plasma insulin, and ln I0-120, as well as family history of diabetes and presence of metabolic syndrome, were associated with increased risk of diabetes. At baseline, higher insulin secretion (ln [I0-120/G0-120]) during the OGTT was associated with decreased risk of diabetes. Higher ß-cell function (insulin secretion/insulin resistance or disposition index; ln [I0-120/G0-120 × Matsuda index of insulin sensitivity]; odds ratio 0.11; P < 0.0001) was the variable most closely associated with reduced risk of diabetes. CONCLUSIONS: In a stepwise multiple-variable analysis, only HbA1c and ß-cell function (ln insulin secretion/insulin resistance index) predicted the development of diabetes (r = 0.49; P < 0.0001).