Dataset Information

Effect of ranolazine on A1C and glucose levels in hyperglycemic patients with non-ST elevation acute coronary syndrome.

ABSTRACT: We determined the relationships between glycemia at randomization, concurrent antidiabetic therapy, and change in A1C and fasting plasma glucose (FPG) in patients with diabetes receiving standard treatment for diabetes and randomized to ranolazine or placebo within the MERLIN-TIMI-36 (MERLIN) study. Ranolazine is a novel first-in-class drug approved for treating angina pectoris.Randomization and 4-month glycemic and antidiabetes drug usage data from MERLIN were analyzed using Spotfire and SAS version 9.1 software.In patients with diabetes and A1C of >or=8-10% at randomization (n = 171), there was an absolute A1C reduction in the ranolazine group of 1.2% (95% CI -1.4 to -1.0), and the placebo-adjusted (n = 182) decrease in A1C by ranolazine was 0.59% (95% CI -0.99 to -0.20, P < 0.001). In patients with FPG of 150-400 mg/dl at randomization, ranolazine (n = 131) compared with placebo (n = 147) reduced FPG by 25.7 mg/dl (95% CI -43.3 to -8.1, P = 0.001). When changes in either A1C or FPG were correlated to A1C or FPG at randomization, the slopes were significantly steeper for ranolazine than placebo (A1C, P = 0.046; FPG, P < 0.001), indicating that lowering of A1C and FPG by ranolazine is related to hyperglycemia at randomization. Ranolazine, compared with placebo, was not associated with serious hypoglycemic events, associated with significant changes in concurrent antidiabetic therapy, or dependent on a history of angina.Ranolazine, when added to concurrent antidiabetes treatment, lowers FPG and A1C in patients with cardiovascular disease and poorly controlled diabetes.

SUBMITTER: Chisholm JW

PROVIDER: S-EPMC2875416 | biostudies-literature | 2010 Jun

REPOSITORIES: biostudies-literature

ACCESS DATA

Publications

Effect of ranolazine on A1C and glucose levels in hyperglycemic patients with non-ST elevation acute coronary syndrome.

Chisholm Jeffrey W JW Goldfine Allison B AB Dhalla Arvinder K AK Braunwald Eugene E Morrow David A DA Karwatowska-Prokopczuk Ewa E Belardinelli Luiz L

Diabetes care 20100331 6

<h4>Objective</h4>We determined the relationships between glycemia at randomization, concurrent antidiabetic therapy, and change in A1C and fasting plasma glucose (FPG) in patients with diabetes receiving standard treatment for diabetes and randomized to ranolazine or placebo within the MERLIN-TIMI-36 (MERLIN) study. Ranolazine is a novel first-in-class drug approved for treating angina pectoris.<h4>Research design and methods</h4>Randomization and 4-month glycemic and antidiabetes drug usage da ...[more]

PMID: 20357382

Similar Datasets

Project description:Background: Recent studies have suggested that soluble suppression of tumorigenicity-2 (sST2), an inflammation-related protein receptor, is associated with atherosclerotic diseases. This study aimed to investigate the potential predictive value of sST2 on plaque vulnerability by assessing whether elevated serum levels of sST2 are associated with vulnerable plaque features in patients with non-ST-elevation acute coronary syndrome (ACS). Methods: A total of 120 patients with non-ST-elevation ACS (167 lesions) were prospectively enrolled and evaluated by standard coronary computed tomography angiography (CCTA) and coronary angiography in this study. Serum sST2 levels were measured by ELISA (Presage® ST2 Assay Kit, Critical Diagnostics), and semiautomated software (QAngioCT, Medis) was used to quantify coronary plaques. Results: The included patients were divided into 4 groups by serum sST2 level quartiles. Volumetric analysis of the whole lesion revealed that patients with higher sST2 levels had a larger absolute necrotic core (NC) volume (Quartile 4 vs. Quartile 1, 86.16 ± 59.71 vs. 45.10 ± 45.80 mm3, P = 0.001; Quartile 4 vs. Quartile 2, 86.16 ± 59.71 vs. 50.22 ± 42.56 mm3, P = 0.002) and a higher NC percentage (Quartile 4 vs. Quartile 1, 35.16 ± 9.82 vs. 23.21 ± 16.18%, P < 0.001; Quartile 4 vs. Quartile 2, 35.16 ± 9.82% vs. 22.50 ± 14.03%, P < 0.001; Quartile 4 vs. Quartile 3, 35.16 ± 9.82% vs. 25.04 ± 14.48%, P < 0.001). Correlation analysis revealed that serum sST2 levels were positively correlated with the NC (r = 0.323, P < 0.001) but negatively correlated with dense calcium (r = -0.208, P = 0.007). Furthermore, among those with plaque calcification, patients with spotty calcification exhibited higher serum sST2 levels than those with large calcification (26.06 ± 16.54 vs. 17.55 ± 7.65 ng/mL, P = 0.002). No significant differences in plaque components at the level of the minimal lumen area (MLA) were found among the groups. Conclusions: Serum sST2 levels were correlated with different coronary plaque components in patients with non-ST-elevation ACS. A higher serum level of sST2 was correlated with plaque vulnerability. Clinical Trial Registration: www.ClinicalTrials.gov, identifier: NCT04797819.

Project description:OBJECTIVE: To investigate comorbid conditions with prognostic influence in non-ST-segment elevation acute coronary syndrome (NSTEACS). PATIENTS AND METHODS: The study group consisted of a derivation cohort of 1017 patients (admitted from October 1, 2002, through October 1, 2008) and an external validation cohort of 652 patients (admitted from February 1, 2006, through September 30, 2009). Comorbid conditions, including risk factors and components of the Charlson comorbidity index (ChCI) and coronary artery disease-specific index, were recorded. The main outcome was one-year mortality. RESULTS: During follow-up, 103 patients died. After adjusting for variables associated with NSTEACS characteristics (base model), 5 comorbid conditions predicted mortality: severe or mild renal failure (hazard ratio [HR], 2.9 and HR, 1.6, respectively), dementia (HR, 3.1), peripheral artery disease (HR, 2.0), previous heart failure (HR, 2.6), and previous myocardial infarction (HR, 1.4). A simple comorbidity index (SCI) was developed using these variables, (per point: HR, 1.6; 95% confidence interval, 1.4-1.8; P = .0001). Adding the SCI, Charlson comorbidity index, or coronary artery disease-specific index to the base model resulted in a gain of 6.58%, 5.00%, and 4.04%, respectively, in discriminative ability (P = .001), without significant differences among the 3 indices. In patients with comorbid conditions, the highest risk period was in the first weeks after NSTEACS. The strength of the association between SCI and mortality rate was similar in the external validation cohort (HR, 1.3; 95% confidence interval, 1.1-1.6; P = .001). CONCLUSION: Renal dysfunction, dementia, peripheral artery disease, previous heart failure, and previous myocardial infarction are the comorbid conditions that predict mortality in NSTEACS. A simple index using these variables proved to be as accurate as the more complex comorbidity indices for risk stratification. In-hospital management of patients with comorbid conditions merits further investigation.

Dataset Information

Effect of ranolazine on A1C and glucose levels in hyperglycemic patients with non-ST elevation acute coronary syndrome.

Publications

Effect of ranolazine on A1C and glucose levels in hyperglycemic patients with non-ST elevation acute coronary syndrome.

Similar Datasets

OmicsDI is part of the ELIXIR infrastructure

Tweets