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The goal of this study is to build a mathematical model to explain the effect of two doses of azilsartan (40 and 80 mg) upon metabolic (insulin resistance, glucose) and inflammatory parameters (cytokines) in function of "metabolic strata" like obesity, type 2 diabetes mellitus, hypertension and their combinations.
Full description
There are data supporting angiotensin II receptor subtype 1 (AT1) antagonist have beneficial effects on metabolic control due to some pleiotropic effect mediated by peroxisome proliferator-activated receptor (PPAR) gamma induction. Azilsartan is a prodrug absorbed in the gastrointestinal tract that can improve metabolic milieu under diverse conditions like obesity, hypertension (can be considered a metabolic disease) or type 2 diabetes mellitus. Clinical studies that have been raised in this regard are few, and still show controversial issues.
The objective of any study with AT1 antagonist drug interested in pleiotropic effects should not only focus on antihypertensive improvement, but also the effect on other areas such as metabolism of lipids and carbohydrates in obese and/or type 2 diabetes.
This study is a randomized, open labeled, clinical study. The aim is to build a mathematical model for supporting the effect of azilsartan 40 or 80 mg on metabolic and inflammatory measurements in function of metabolic conditions (i.e. obesity, type 2 diabetes and hypertension, and their combinations).
Patients will be stratified according to their metabolic status and randomized by blocks of four for each strata. This strategy will help to maintain each treatment group in balance. All subjects will receive the treatment for 12 weeks.
Subjects who attend the outpatient consultation at the Hospital General de Mexico will be invited to participate in the study. Those who meet the inclusion criteria must sign an informed consent approved by the ethics committee. This document describes the follow-up visits as described below:
Screening visit (V-1):
This visit includes patient history, physical examination (weight, height, waist circumference and blood pressure) and a blood sample for measurement of: complete blood count, fasting glucose, HbA1c, creatinine, adiponectin, IL-1b, IL-6, IL-10, TNF-α, liver function tests, C-reactive protein, blood chemistry, proteinuria, 24-hours urinary glucose and creatinine.
Initial visit (V0):
Physical examination will be performed and blood samples for oral glucose tolerance test will be drawn at 0, 30, 60, 90 and 120 minutes, with these data points the Matsuda insulin sensitivity index will be calculated. Pharmacological treatment of 40mg or 80mg azilsartan 4 weeks will be assigned (open labeled but randomized).
Visit 1 and 2 (V1, V2):
These visits performed at 4 and 8 weeks respectively include: physical examination, recording of adverse events and medication count to check adherence to treatment accomplishment.
Visit 3 (V3):
Week 12 include physical examination, adverse events registration, complete blood count, fasting glucose, HbA1c, creatinine, adiponectin, IL-1b, IL-6, IL-10, TNF - α, liver function tests, C reactive protein, blood chemistry, proteinuria, 24-hours urinary glucose and creatinine. Furthermore an oral glucose tolerance test with samples at 0, 30, 60, 90 and 120 minutes will be taken, to calculate the index of insulin sensitivity by the Matsuda method.
Statistical analysis and sample size. The sample size was calculated for ANCOVA analysis considering 8 groups with 5 covariates. Considering an alpha error of 5%, effect size of 30%, and statistical power of 90% a total sample of 250 patient was calculated. If we consider a 20% attrition of the sample, giving a total of 300 patients, i.e. 150 patients per treatment group.
A descriptive analysis will be done. The contrast among groups will be analyzed by an ANCOVA model and the function fitness will be calculated using ordinary least squares. Dependent variables will be insulin sensitivity, proteinuria, stiffness of the carotid artery, cytokines. Fixed factors: sex, blood pressure category, metabolic status, drug treatment. Covariates: Age, waist circumference.
The greatest expected size of effect would be within the group of patients with obesity, hypertension, and type 2 diabetes mellitus (all three) treated with 80 mg and the lowest size of effect within the group of only obesity treated with 40 mg.
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300 participants in 2 patient groups
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Antonio Peralta, MD
Data sourced from clinicaltrials.gov
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