Clinical trial NCT01998867: Fasting Predictors of OGTT and MMTT Response
Official title: Identification of Fasting Biomarkers That Predict Responses to the Oral Glucose Tolerance Test (OGTT) and Mixed Meal Tolerance Test (MMTT)
Study type: OBSERVATIONAL
Overall status: UNKNOWN
Conditions: Prediabetes
Hypertension
Obesity
Cardiovascular Disease
Lead sponsor: Health Diagnostic Laboratory, Inc.
Sponsor class: INDUSTRY
First posted: 2013-12-02
Enrollment: 1000
Sex: ALL
Minimum age (years): 18
Standard ages: ADULT
OLDER_ADULT
Accepts healthy volunteers: yes
Observational model: COHORT
Time perspective: PROSPECTIVE
Sampling method: NON_PROBABILITY_SAMPLE
Study population: Representative of the ethnic population of Richmond, VA

Brief summary: 1. To develop a database containing matched information from dynamic tests of postprandial glycemic control (OGTT or MMTT), results of a broad panel of fasting biomarkers, and clinical information related to diabetes risk obtain through subject interview.
2. To use the database to identify fasting biomarkers and associated algorithms to best predict parameters derived from dynamic tests (OGTT or MMTT) such as Insulin Glucose Tolerance (IGT), impaired first phase insulin response, etc., controlling for clinical information such as current medication use.


Eligibility criteria: Inclusion Criteria:

* Weight \>95

Exclusion Criteria:

* Prior diagnosis of Diabetes

Primary outcomes:
measure: Identify fasting biomarkers and associated algorithms to predict parameters
timeFrame: Baseline
Secondary outcomes:
Other outcomes:
Locations:
city: Richmond
country: United States
facility: Health Diagnostic Laboratory, Inc.
state: Virginia
Study officials:
affiliation: Health Diagnostic Laboratory, Inc.
name: Szilard Voros, MD
role: PRINCIPAL_INVESTIGATOR
References:
citation: Go AS, Mozaffarian D, Roger VL, Benjamin EJ, Berry JD, Borden WB, Bravata DM, Dai S, Ford ES, Fox CS, Franco S, Fullerton HJ, Gillespie C, Hailpern SM, Heit JA, Howard VJ, Huffman MD, Kissela BM, Kittner SJ, Lackland DT, Lichtman JH, Lisabeth LD, Magid D, Marcus GM, Marelli A, Matchar DB, McGuire DK, Mohler ER, Moy CS, Mussolino ME, Nichol G, Paynter NP, Schreiner PJ, Sorlie PD, Stein J, Turan TN, Virani SS, Wong ND, Woo D, Turner MB; American Heart Association Statistics Committee and Stroke Statistics Subcommittee. Executive summary: heart disease and stroke statistics--2013 update: a report from the American Heart Association. Circulation. 2013 Jan 1;127(1):143-52. doi: 10.1161/CIR.0b013e318282ab8f. No abstract available.
citation: Roger VL, Go AS, Lloyd-Jones DM, Benjamin EJ, Berry JD, Borden WB, Bravata DM, Dai S, Ford ES, Fox CS, Fullerton HJ, Gillespie C, Hailpern SM, Heit JA, Howard VJ, Kissela BM, Kittner SJ, Lackland DT, Lichtman JH, Lisabeth LD, Makuc DM, Marcus GM, Marelli A, Matchar DB, Moy CS, Mozaffarian D, Mussolino ME, Nichol G, Paynter NP, Soliman EZ, Sorlie PD, Sotoodehnia N, Turan TN, Virani SS, Wong ND, Woo D, Turner MB; American Heart Association Statistics Committee and Stroke Statistics Subcommittee. Executive summary: heart disease and stroke statistics--2012 update: a report from the American Heart Association. Circulation. 2012 Jan 3;125(1):188-97. doi: 10.1161/CIR.0b013e3182456d46. No abstract available.
citation: DeFronzo RA, Abdul-Ghani M. Type 2 diabetes can be prevented with early pharmacological intervention. Diabetes Care. 2011 May;34 Suppl 2(Suppl 2):S202-9. doi: 10.2337/dc11-s221.
citation: Nathan DM, Davidson MB, DeFronzo RA, Heine RJ, Henry RR, Pratley R, Zinman B; American Diabetes Association. Impaired fasting glucose and impaired glucose tolerance: implications for care. Diabetes Care. 2007 Mar;30(3):753-9. doi: 10.2337/dc07-9920. No abstract available.