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Clinical Trial Details — Status: Completed

Administrative data

NCT number NCT04040465
Other study ID # IRB_00117303
Secondary ID
Status Completed
Phase Early Phase 1
First received
Last updated
Start date February 15, 2021
Est. completion date October 30, 2021

Study information

Verified date October 2020
Source University of Utah
Contact n/a
Is FDA regulated No
Health authority
Study type Interventional

Clinical Trial Summary

Understanding sources of variability in human drug dosing is important to the beneficial and safe use of any drug. Understanding and applying the science of individualizing a drug dose to a patient is called precision medicine. Aspirin is one of the oldest most utilized medications for its ability to lower fever, relieve pain, and to reduce the stickiness of platelets (tiny blood cells that help your body form clots to stop bleeding. Aspirin dosing is currently the same for all patients and is not individualized. In the last century, aspirin has shown benefit in reducing cancer, stroke, and preventing cardiovascular events after one has already had a heart attack or stroke. Previous human studies have not found consistent positive effects of aspirin when dosed by body weight. Therefore, how should aspirin be dosed in 2019? Aspirin resistance is the failure of aspirin to reduce platelet stickiness and thin the blood and most importantly, is associated with higher risk of heart attacks and strokes. Aspirin resistance may occur due to not taking aspirin on a regular basis, differences in how platelets behave in some persons, use of over the counter pain medicines like Motrin®, reduced amount of drug in the body, and/or a lack of being able to predict a dose for a certain individual. To find out the best way to dose aspirin, the investigators propose to study healthy volunteers (persons without any known disease) with different ages and body sizes to see if aspirin blood levels are tied to platelet stickiness. This information will be used to mathematically build a computer-based picture of aspirin dosing that will help physicians pick the best dose of aspirin for each patient. The investigators will then extend studies for the aspirin dose estimator to be used in other countries in people with heart problems and stroke, recording future events in a randomized (i.e., coin toss) manner, to determine if the ability of the aspirin dose estimator to prevent future heart attacks and stroke compared to people receiving aspirin doses that were chosen without the estimator.


Description:

AIM 1: Determine urine TXB2, platelet aggregation function testing (VerifyNow® ASA Test), salicylate level, CBC with differential, and hs-CRP, in 18 healthy volunteers across BMI classes of 22-25 (Normal Weight), >25-30 (Overweight), and > 30 kg/m2 (Obese).Total enrolled cohort: 60 patients and planned treatment cohort: 54 completed patients (anticipated dropout rate of 10% = 6 patients). The investigators have powered this sample size based on estimates of effect sizes from published studies examining platelet activation in patients across a range of BMIs and assuming an alpha = 0.05, with 80% power. In addition, height and weight as predictors will be evaluated independently of BMI. BMI patient groups (22-25, >25-30, and > 30 kg/m2) will be randomized to low-dose ASA (81mg standard-release), moderate dose ASA (325mg) or high dose ASA (500mg) (6 patients/each dose). All patients will have a CBC with differential (to measure blood cell counts including platelets) and hs-CRP at baseline, serial urine TXB2 (-1, and 2 and 5 hours post ASA dose), platelet aggregation function testing using VerifyNow® ASA Test 15 min post ASA dose, serial salicylate levels (0, 15", 2 hours post-ASA dose) and again 10-14 days after chronic dosing (urine TXB2 2 hours post ASA dose and platelet aggregation function testing using VerifyNow® Test 15 min post ASA dose only). AIM 2: Model associations between construct variables (BMI and aspirin dose) with predictive variables as collected in AIM 1. Multiple and Linear Regression with backward selection will be used. In addition, a Structured Equation Model will be applied to the data. Statistical assessment of model fit will be conducted for all models. AIM 3: Build an Aspirin Dose Estimator to predict aspirin dosing. Model associations from AIM 2 will create demand estimates that will feed into a user-friendly aspirin dosage estimator. The simulator will comprise: 1) Entry: An entry screen. In this screen the user will enter the features of patient clinical information attributes. The user then clicks a 'run' button. 2) Demand Output: The simulator will then create an output screen that will show graphically aspirin dosing options.


Recruitment information / eligibility

Status Completed
Enrollment 57
Est. completion date October 30, 2021
Est. primary completion date October 30, 2021
Accepts healthy volunteers Accepts Healthy Volunteers
Gender All
Age group 18 Years to 55 Years
Eligibility Inclusion Criteria: - Ages 18-55 years old (male or female) - Healthy Volunteers (medication free without acute or chronic significant health problems or pathologies) Exclusion Criteria: - History of asthma - History of chronic bronchitis - History of emphysema - History of renal impairment (eGFR < 30 ml/min) - History of hypertension (reviewed by study staff) - History of hyperlipidemia - History of diabetes - History of smoking (within last month) - Current depression or anxiety requiring medication therapy - Inability to finish the study for any reason - Any current pathological condition outside of normal range - Thrombocytopenia (platelet count < 150 K/µL) - Other known platelet disorders (eg. von Willebrand disease, Glanzmann thrombasthenia, Bernard-Soulier Syndrome) - Current use of dipyradamole, PGY 12 inhibitors, NSAIDs - Or as otherwise determined by the investigative team

Study Design


Related Conditions & MeSH terms


Intervention

Drug:
Aspirin
Participants will be categorized into 3 BMI groups and will be randomly given various doses of aspirin to compare effectiveness and create a dosing regimen.

Locations

Country Name City State
United States University of Utah Salt Lake City Utah

Sponsors (2)

Lead Sponsor Collaborator
University of Utah University of Colorado, Denver

Country where clinical trial is conducted

United States, 

Outcome

Type Measure Description Time frame Safety issue
Primary Height Used to measure BMI 2 weeks per participant
Primary Weight Used to measure BMI 2 weeks per participant
Primary Urine TBX2 Collection (Thromboxane levels) Thromboxane levels measured for indicator of platelet aggregation function 2 weeks per participant
Primary Salicylate Levels Used to measure amount of systemic aspirin to compare with TBX2 and BMI categories 2 weeks per participant
Primary Aspirin Reaction Units (ARU) Number given from Verifynow device that will be used to determine platelet aggregation function by arachidonic acid induced aggregation 2 weeks per participant
Secondary Complete Blood Count (CBC) Safety measure labs taken on 2 visits 2 weeks per participant
Secondary High-sensitivity C-reactive protein (hs-CRP) Measured as an inflammatory marker and indicator of cardiac risk and risk of stroke 2 weeks per participant
Secondary Blood Pressure (mmHg) Safety measure taken on 2 visits 2 weeks per participant
Secondary Heart Rate (BPM) Safety measure taken on 2 visits 2 weeks per participant
Secondary Respiratory Rate (breaths per minute) Safety measure taken on 2 visits 2 weeks per participant
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