The Very Large Database of Lipids (VLDL) (VLDL)
|ClinicalTrials.gov Identifier: NCT01698489|
Recruitment Status : Active, not recruiting
First Posted : October 3, 2012
Last Update Posted : January 11, 2018
Closer examination of granular lipid data in a large population offers numerous opportunities to generate new knowledge, ranging from studies examining concordance between commonly used lipid parameters to phenotypic characterization of rare or extreme disorders of lipid metabolism, opening possibilities to better personalize future treatment of abnormal blood lipids.
The Very Large Database of Lipids (VLDL) includes adults and children who were clinically referred for a Vertical Auto Profile (VAP).
The VAP test (VAP Diagnostics Lab, Birmingham, Alabama, USA) directly measures cholesterol concentrations of low density lipoprotein, very low density lipoprotein, intermediate density lipoprotein, high density lipoprotein, their subfractions, and lipoprotein(a). Triglycerides in the database are directly measured using the Abbott ARCHITECT C‐8000 system (Abbott Park, Illinois, USA). Lipid distributions in the database closely match those from the population-representative National Health and Nutrition Examination Survey (NHANES).
This database was investigator-initiated. Only de-identified data reach the investigational site. The first data harvest was in 2011 and the second in 2016. The master database is housed at The Johns Hopkins Hospital in Baltimore, Maryland, and maintained by Drs. Jones and Martin. Only electronic data, and not blood samples, are sent to Hopkins. The academic investigators have unrestricted access to study data, take responsibility for the accuracy of analyses, and have authority over manuscript preparation and submission.
The variables currently in the VLDL database are testing date, age, sex, fasting/nonfasting, and components of the VAP test. From these primary variables, many additional variables were derived for inclusion in the master database. Other analytes measured by validated assays in subsets of the VLDL database include apolipoprotein B (apoB), apolipoprotein A1 (apoAI), high-sensitivity C-reactive protein (hsCRP), homocysteine, uric acid, insulin, hemoglobin A1c, 25-hydroxy vitamin D, cystatin C, lipoprotein-associated phosphatase (Lp-PLA2), thyroid stimulating hormone (TSH), free T3 and T4, pro-brain natriuretic peptide (pBNP), direct bilirubin, creatine phosphokinase (CPK), creatinine and other components of the comprehensive metabolic panel, magnesium, and phosphate.
In the current database, each record represents a unique patient. The 1st available VAP test for each patient is included. To meet the needs of a variety of research questions, we are prospectively planning to organize harvest 2 data into 3-year interval datasets (i.e., VLDL 2006-2008, 2009-2011, VLDL 2012-2014, etc), a summation dataset (first VAP test for each patient), serial lab dataset (patients who have had repeated testing), and ancillary datasets (subsets of patients with coexisting data on other measures such as apolipoproteins, vitamin D, etc).
Individual VLDL studies are based on a priori hypotheses or aims with statistical analysis plans (SAPs) peer-reviewed prior to execution. In the expandable "Detailed Description" section below, the VLDL investigators will periodically register individual studies and update their status here.
|Condition or disease|
|Lipid Disorders and Lipid Measurement|
Show Detailed Description
|Study Type :||Observational|
|Actual Enrollment :||2859333 participants|
|Official Title:||The Very Large Database of Lipids (VLDL): A Clinical Laboratory Big Data Project|
|Actual Study Start Date :||April 2006|
|Primary Completion Date :||April 2016|
|Estimated Study Completion Date :||April 2020|
- all-cause mortality [ Time Frame: up to 9 years from time of baseline lipid profile ]
Please refer to this study by its ClinicalTrials.gov identifier (NCT number): NCT01698489
|United States, Maryland|
|Johns Hopkins University|
|Baltimore, Maryland, United States, 21287|
|Study Director:||Steven R Jones, MD||Johns Hopkins University|
|Principal Investigator:||Seth S Martin, MD, MHS||Johns Hopkins University|