<clinical_study>
  <!-- This xml conforms to an XML Schema at:
    https://clinicaltrials.gov/ct2/html/images/info/public.xsd -->
  <required_header>
    <download_date>ClinicalTrials.gov processed this data on September 20, 2023</download_date>
    <link_text>Link to the current ClinicalTrials.gov record.</link_text>
    <url>https://clinicaltrials.gov/ct2/show/NCT01698489</url>
  </required_header>
  <id_info>
    <org_study_id>NA_00074308</org_study_id>
    <nct_id>NCT01698489</nct_id>
  </id_info>
  <brief_title>The Very Large Database of Lipids (VLDL)</brief_title>
  <acronym>VLDL</acronym>
  <official_title>The Very Large Database of Lipids (VLDL): A Clinical Laboratory Big Data Project</official_title>
  <sponsors>
    <lead_sponsor>
      <agency>Johns Hopkins University</agency>
      <agency_class>Other</agency_class>
    </lead_sponsor>
    <collaborator>
      <agency>VAP Diagnostics Lab</agency>
      <agency_class>Other</agency_class>
    </collaborator>
  </sponsors>
  <source>Johns Hopkins University</source>
  <oversight_info>
    <has_dmc>No</has_dmc>
  </oversight_info>
  <brief_summary>
    <textblock>
      Closer examination of granular lipid data in a large population offers numerous opportunities&#xD;
      to generate new knowledge, ranging from studies examining concordance between commonly used&#xD;
      lipid parameters to phenotypic characterization of rare or extreme disorders of lipid&#xD;
      metabolism, opening possibilities to better personalize future treatment of abnormal blood&#xD;
      lipids.&#xD;
&#xD;
      STUDY POPULATION:&#xD;
&#xD;
      The Very Large Database of Lipids (VLDL) includes adults and children who were clinically&#xD;
      referred for a Vertical Auto Profile (VAP). Patient samples originated predominantly from&#xD;
      outpatient primary care clinics in the U.S. (85%), along with specialty clinics and inpatient&#xD;
      settings.&#xD;
&#xD;
      LIPID MEASUREMENTS:&#xD;
&#xD;
      The VAP test (VAP Diagnostics Lab, Birmingham, Alabama, USA) directly measures cholesterol&#xD;
      concentrations of low density lipoprotein, very low density lipoprotein, intermediate density&#xD;
      lipoprotein, high density lipoprotein, their subfractions, and lipoprotein(a). Triglycerides&#xD;
      in the database are directly measured using the Abbott ARCHITECT C-8000 system (Abbott Park,&#xD;
      Illinois, USA). Lipid distributions in the database closely match those from the&#xD;
      population-representative National Health and Nutrition Examination Survey (NHANES).&#xD;
&#xD;
      STUDY PROCEDURES:&#xD;
&#xD;
      This database was investigator-initiated. Only de-identified data reach the investigational&#xD;
      site. The master database is housed at The Johns Hopkins Hospital in Baltimore, Maryland, and&#xD;
      maintained by Drs. Jones and Martin. The current database (2nd harvest) includes 5,051,467&#xD;
      patients whose laboratory samples were collected from October 1, 2015 and June 30, 2019. Only&#xD;
      electronic data, and not blood samples, are sent to Hopkins. The academic investigators have&#xD;
      unrestricted access to study data, take responsibility for the accuracy of analyses, and have&#xD;
      authority over manuscript preparation and submission.&#xD;
&#xD;
      VARIABLES:&#xD;
&#xD;
      The variables currently in the VLDL database are testing date, age, sex, fasting/nonfasting,&#xD;
      and components of the VAP test. From these primary variables, many additional variables were&#xD;
      derived for inclusion in the master database. Other analytes measured by validated assays in&#xD;
      subsets of the VLDL database include apolipoprotein B (apoB), apolipoprotein A1 (apoAI),&#xD;
      high-sensitivity C-reactive protein (hsCRP), homocysteine, uric acid, insulin, hemoglobin&#xD;
      A1c, 25-hydroxy vitamin D, cystatin C, lipoprotein-associated phosphatase (Lp-PLA2), thyroid&#xD;
      stimulating hormone (TSH), free T3 and T4, pro-brain natriuretic peptide (pBNP), direct&#xD;
      bilirubin, creatine phosphokinase (CPK), creatinine and other components of the comprehensive&#xD;
      metabolic panel, magnesium, and phosphate.&#xD;
    </textblock>
  </brief_summary>
  <overall_status>Active, not recruiting</overall_status>
  <start_date type="Actual">April 2006</start_date>
  <completion_date type="Anticipated">April 2026</completion_date>
  <primary_completion_date type="Anticipated">April 2026</primary_completion_date>
  <study_type>Observational</study_type>
  <has_expanded_access>No</has_expanded_access>
  <study_design_info>
    <observational_model>Other</observational_model>
    <time_perspective>Cross-Sectional</time_perspective>
  </study_design_info>
  <primary_outcome>
    <measure>Low-density lipoprotein cholesterol level</measure>
    <time_frame>4 years</time_frame>
    <description>Low-density lipoprotein cholesterol levels measured in milligrams per deciliter.</description>
  </primary_outcome>
  <enrollment type="Actual">5051467</enrollment>
  <condition>Lipid Disorders and Lipid Measurement</condition>
  <eligibility>
    <study_pop>
      <textblock>
        Patients clinically referred for VAP density gradient ultracentrifugation.&#xD;
      </textblock>
    </study_pop>
    <sampling_method>Non-Probability Sample</sampling_method>
    <criteria>
      <textblock>
        Patients with age and lipid data are included in the master database. Eligibility criteria&#xD;
        are specific to each individual study.&#xD;
      </textblock>
    </criteria>
    <gender>All</gender>
    <minimum_age>N/A</minimum_age>
    <maximum_age>N/A</maximum_age>
    <healthy_volunteers>Accepts Healthy Volunteers</healthy_volunteers>
  </eligibility>
  <overall_official>
    <last_name>Steven R Jones, MD</last_name>
    <role>Study Director</role>
    <affiliation>Johns Hopkins University</affiliation>
  </overall_official>
  <overall_official>
    <last_name>Seth S Martin, MD, MHS</last_name>
    <role>Principal Investigator</role>
    <affiliation>Johns Hopkins University</affiliation>
  </overall_official>
  <location>
    <facility>
      <name>Johns Hopkins University</name>
      <address>
        <city>Baltimore</city>
        <state>Maryland</state>
        <zip>21287</zip>
        <country>United States</country>
      </address>
    </facility>
  </location>
  <location_countries>
    <country>United States</country>
  </location_countries>
  <reference>
    <citation>Martin SS, Blaha MJ, Toth PP, Joshi PH, McEvoy JW, Ahmed HM, Elshazly MB, Swiger KJ, Michos ED, Kwiterovich PO, Kulkarni KR, Chimera J, Cannon CP, Blumenthal RS, Jones SR. Very large database of lipids: rationale and design. Clin Cardiol. 2013 Nov;36(11):641-8. doi: 10.1002/clc.22214. Epub 2013 Oct 1.</citation>
    <PMID>24122913</PMID>
  </reference>
  <results_reference>
    <citation>Martin SS, Blaha MJ, Elshazly MB, Brinton EA, Toth PP, McEvoy JW, Joshi PH, Kulkarni KR, Mize PD, Kwiterovich PO, Defilippis AP, Blumenthal RS, Jones SR. Friedewald-estimated versus directly measured low-density lipoprotein cholesterol and treatment implications. J Am Coll Cardiol. 2013 Aug 20;62(8):732-9. doi: 10.1016/j.jacc.2013.01.079. Epub 2013 Mar 21.</citation>
    <PMID>23524048</PMID>
  </results_reference>
  <results_reference>
    <citation>Ahmed, HM, Elshazly MB, Martin SS, Blaha MJ, Kulkarni KR, Jones SR. Ratio of Dense to Buoyant LDL Subclass is Associated with LDL Density Phenotype (VLDL-5). The Open Chemical and Biomedical Methods Journal 2013. 6:1-5.</citation>
  </results_reference>
  <results_reference>
    <citation>Elshazly MB, Martin SS, Blaha MJ, Joshi PH, Toth PP, McEvoy JW, Al-Hijji MA, Kulkarni KR, Kwiterovich PO, Blumenthal RS, Jones SR. Non-high-density lipoprotein cholesterol, guideline targets, and population percentiles for secondary prevention in 1.3 million adults: the VLDL-2 study (very large database of lipids). J Am Coll Cardiol. 2013 Nov 19;62(21):1960-1965. doi: 10.1016/j.jacc.2013.07.045. Epub 2013 Aug 21.</citation>
    <PMID>23973689</PMID>
  </results_reference>
  <results_reference>
    <citation>Swiger KJ, Martin SS, Blaha MJ, Toth PP, Nasir K, Michos ED, Gerstenblith G, Blumenthal RS, Jones SR. Narrowing sex differences in lipoprotein cholesterol subclasses following mid-life: the very large database of lipids (VLDL-10B). J Am Heart Assoc. 2014 Apr 22;3(2):e000851. doi: 10.1161/JAHA.114.000851.</citation>
    <PMID>24755154</PMID>
  </results_reference>
  <results_reference>
    <citation>Miller PE, Martin SS, Toth PP, Santos RD, Blaha MJ, Nasir K, Virani SS, Post WS, Blumenthal RS, Jones SR. Screening and advanced lipid phenotyping in familial hypercholesterolemia: The Very Large Database of Lipids Study-17 (VLDL-17). J Clin Lipidol. 2015 Sep-Oct;9(5):676-83. doi: 10.1016/j.jacl.2015.06.015. Epub 2015 Jul 9.</citation>
    <PMID>26350814</PMID>
  </results_reference>
  <results_reference>
    <citation>Quispe R, Manalac RJ, Faridi KF, Blaha MJ, Toth PP, Kulkarni KR, Nasir K, Virani SS, Banach M, Blumenthal RS, Martin SS, Jones SR. Relationship of the triglyceride to high-density lipoprotein cholesterol (TG/HDL-C) ratio to the remainder of the lipid profile: The Very Large Database of Lipids-4 (VLDL-4) study. Atherosclerosis. 2015 Sep;242(1):243-50. doi: 10.1016/j.atherosclerosis.2015.06.057. Epub 2015 Jul 7.</citation>
    <PMID>26232164</PMID>
  </results_reference>
  <results_reference>
    <citation>Quispe R, Al-Hijji M, Swiger KJ, Martin SS, Elshazly MB, Blaha MJ, Joshi PH, Blumenthal RS, Sniderman AD, Toth PP, Jones SR. Lipid phenotypes at the extremes of high-density lipoprotein cholesterol: The very large database of lipids-9. J Clin Lipidol. 2015 Jul-Aug;9(4):511-8.e1-5. doi: 10.1016/j.jacl.2015.05.005. Epub 2015 Jun 19.</citation>
    <PMID>26228668</PMID>
  </results_reference>
  <results_reference>
    <citation>Elshazly MB, Quispe R, Michos ED, Sniderman AD, Toth PP, Banach M, Kulkarni KR, Coresh J, Blumenthal RS, Jones SR, Martin SS. Patient-Level Discordance in Population Percentiles of the Total Cholesterol to High-Density Lipoprotein Cholesterol Ratio in Comparison With Low-Density Lipoprotein Cholesterol and Non-High-Density Lipoprotein Cholesterol: The Very Large Database of Lipids Study (VLDL-2B). Circulation. 2015 Aug 25;132(8):667-76. doi: 10.1161/CIRCULATIONAHA.115.016163. Epub 2015 Jul 2.</citation>
    <PMID>26137953</PMID>
  </results_reference>
  <results_reference>
    <citation>Lupton JR, Faridi KF, Martin SS, Sharma S, Kulkarni K, Jones SR, Michos ED. Deficient serum 25-hydroxyvitamin D is associated with an atherogenic lipid profile: The Very Large Database of Lipids (VLDL-3) study. J Clin Lipidol. 2016 Jan-Feb;10(1):72-81.e1. doi: 10.1016/j.jacl.2015.09.006. Epub 2015 Sep 25.</citation>
    <PMID>26892123</PMID>
  </results_reference>
  <results_reference>
    <citation>Lupton JR, Quispe R, Kulkarni K, Martin SS, Jones SR. Serum homocysteine is not independently associated with an atherogenic lipid profile: The Very Large Database of Lipids (VLDL-21) study. Atherosclerosis. 2016 Jun;249:59-64. doi: 10.1016/j.atherosclerosis.2016.03.031. Epub 2016 Mar 26.</citation>
    <PMID>27065242</PMID>
  </results_reference>
  <results_reference>
    <citation>Sathiyakumar V, Park J, Golozar A, Lazo M, Quispe R, Guallar E, Blumenthal RS, Jones SR, Martin SS. Fasting Versus Nonfasting and Low-Density Lipoprotein Cholesterol Accuracy. Circulation. 2018 Jan 2;137(1):10-19. doi: 10.1161/CIRCULATIONAHA.117.030677. Epub 2017 Oct 16.</citation>
    <PMID>29038168</PMID>
  </results_reference>
  <results_reference>
    <citation>Faridi KF, Lupton JR, Martin SS, Banach M, Quispe R, Kulkarni K, Jones SR, Michos ED. Vitamin D deficiency and non-lipid biomarkers of cardiovascular risk. Arch Med Sci. 2017 Jun;13(4):732-737. doi: 10.5114/aoms.2017.68237. Epub 2017 Jun 12.</citation>
    <PMID>28721139</PMID>
  </results_reference>
  <results_reference>
    <citation>Sajja A, Park J, Sathiyakumar V, Varghese B, Pallazola VA, Marvel FA, Kulkarni K, Muthukumar A, Joshi PH, Gianos E, Hirsh B, Mintz G, Goldberg A, Morris PB, Sharma G, Blumenthal RS, Michos ED, Post WS, Elshazly MB, Jones SR, Martin SS. Comparison of Methods to Estimate Low-Density Lipoprotein Cholesterol in Patients With High Triglyceride Levels. JAMA Netw Open. 2021 Oct 1;4(10):e2128817. doi: 10.1001/jamanetworkopen.2021.28817.</citation>
    <PMID>34709388</PMID>
  </results_reference>
  <results_reference>
    <citation>Chilazi M, Zheng W, Park J, Marvel FA, Khoury S, Jones SR, Martin SS. Quantifying the contribution of lipoprotein(a) to all apoB containing particles. J Clin Lipidol. 2022 Mar-Apr;16(2):220-226. doi: 10.1016/j.jacl.2022.02.004. Epub 2022 Feb 12.</citation>
    <PMID>35241398</PMID>
  </results_reference>
  <results_reference>
    <citation>Zheng W, Chilazi M, Park J, Sathiyakumar V, Donato LJ, Meeusen JW, Lazo M, Guallar E, Kulkarni KR, Jaffe AS, Santos RD, Toth PP, Jones SR, Martin SS. Assessing the Accuracy of Estimated Lipoprotein(a) Cholesterol and Lipoprotein(a)-Free Low-Density Lipoprotein Cholesterol. J Am Heart Assoc. 2022 Jan 18;11(2):e023136. doi: 10.1161/JAHA.121.023136. Epub 2022 Jan 13.</citation>
    <PMID>35023348</PMID>
  </results_reference>
  <results_reference>
    <citation>Quispe R, Brownstein AJ, Sathiyakumar V, Park J, Chang B, Sajja A, Guallar E, Lazo M, Jones SR, Martin SS. Utility of non-HDL-C and apoB targets in the context of new more aggressive lipid guidelines. Am J Prev Cardiol. 2021 May 29;7:100203. doi: 10.1016/j.ajpc.2021.100203. eCollection 2021 Sep.</citation>
    <PMID>34611642</PMID>
  </results_reference>
  <results_reference>
    <citation>Varghese B, Park J, Chew E, Sajja A, Brownstein A, Pallazola VA, Sathiyakumar V, Jones SR, Sniderman AD, Martin SS. Importance of the triglyceride level in identifying patients with a Type III Hyperlipoproteinemia phenotype using the ApoB algorithm. J Clin Lipidol. 2021 Jan-Feb;15(1):104-115.e9. doi: 10.1016/j.jacl.2020.09.011. Epub 2020 Oct 20.</citation>
    <PMID>33189625</PMID>
  </results_reference>
  <results_reference>
    <citation>Martin SS, Blaha MJ, Elshazly MB, Toth PP, Kwiterovich PO, Blumenthal RS, Jones SR. Comparison of a novel method vs the Friedewald equation for estimating low-density lipoprotein cholesterol levels from the standard lipid profile. JAMA. 2013 Nov 20;310(19):2061-8. doi: 10.1001/jama.2013.280532.</citation>
    <PMID>24240933</PMID>
  </results_reference>
  <results_reference>
    <citation>Sathiyakumar V, Pallazola VA, Park J, Vakil RM, Toth PP, Lazo-Elizondo M, Quispe R, Guallar E, Banach M, Blumenthal RS, Jones SR, Martin SS. Modern prevalence of the Fredrickson-Levy-Lees dyslipidemias: findings from the Very Large Database of Lipids and National Health and Nutrition Examination Survey. Arch Med Sci. 2019 Aug 3;16(6):1279-1287. doi: 10.5114/aoms.2019.86964. eCollection 2020.</citation>
    <PMID>33224326</PMID>
  </results_reference>
  <results_reference>
    <citation>Pallazola VA, Sathiyakumar V, Park J, Vakil RM, Toth PP, Lazo-Elizondo M, Brown E, Quispe R, Guallar E, Banach M, Blumenthal RS, Jones SR, Marais D, Soffer D, Sniderman AD, Martin SS. Modern prevalence of dysbetalipoproteinemia (Fredrickson-Levy-Lees type III hyperlipoproteinemia). Arch Med Sci. 2019 Aug 2;16(5):993-1003. doi: 10.5114/aoms.2019.86972. eCollection 2020.</citation>
    <PMID>32863987</PMID>
  </results_reference>
  <results_reference>
    <citation>Quispe R, Hendrani AD, Baradaran-Noveiry B, Martin SS, Brown E, Kulkarni KR, Banach M, Toth PP, Brinton EA, Jones SR, Joshi PH. Characterization of lipoprotein profiles in patients with hypertriglyceridemic Fredrickson-Levy and Lees dyslipidemia phenotypes: the Very Large Database of Lipids Studies 6 and 7. Arch Med Sci. 2019 Sep;15(5):1195-1202. doi: 10.5114/aoms.2019.87207. Epub 2019 Aug 22.</citation>
    <PMID>31572464</PMID>
  </results_reference>
  <results_reference>
    <citation>Faridi KF, Quispe R, Martin SS, Hendrani AD, Joshi PH, Brinton EA, Cruz DE, Banach M, Toth PP, Kulkarni K, Jones SR. Comparing different assessments of remnant lipoprotein cholesterol: The very large database of lipids. J Clin Lipidol. 2019 Jul-Aug;13(4):634-644. doi: 10.1016/j.jacl.2019.06.001. Epub 2019 Jun 11.</citation>
    <PMID>31320236</PMID>
  </results_reference>
  <verification_date>August 2023</verification_date>
  <study_first_submitted>October 1, 2012</study_first_submitted>
  <study_first_submitted_qc>October 2, 2012</study_first_submitted_qc>
  <study_first_posted type="Estimate">October 3, 2012</study_first_posted>
  <last_update_submitted>August 8, 2023</last_update_submitted>
  <last_update_submitted_qc>August 8, 2023</last_update_submitted_qc>
  <last_update_posted type="Actual">August 14, 2023</last_update_posted>
  <responsible_party>
    <responsible_party_type>Sponsor</responsible_party_type>
  </responsible_party>
  <condition_browse>
    <!-- CAUTION:  The following MeSH terms are assigned with an imperfect algorithm            -->
    <mesh_term>Lipid Metabolism Disorders</mesh_term>
  </condition_browse>
  <!-- Results have not yet been posted for this study                                          -->
</clinical_study>


download date: ClinicalTrials.gov processed this data on September 20, 2023
link text: Link to the current ClinicalTrials.gov record.
url: https://clinicaltrials.gov/ct2/show/NCT01698489
org study id: NA_00074308
nct id: NCT01698489
lead sponsor: 
collaborator: 
has dmc: No
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.

      STUDY POPULATION:

      The Very Large Database of Lipids (VLDL) includes adults and children who were clinically
      referred for a Vertical Auto Profile (VAP). Patient samples originated predominantly from
      outpatient primary care clinics in the U.S. (85%), along with specialty clinics and inpatient
      settings.

      LIPID MEASUREMENTS:

      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).

      STUDY PROCEDURES:

      This database was investigator-initiated. Only de-identified data reach the investigational
      site. The master database is housed at The Johns Hopkins Hospital in Baltimore, Maryland, and
      maintained by Drs. Jones and Martin. The current database (2nd harvest) includes 5,051,467
      patients whose laboratory samples were collected from October 1, 2015 and June 30, 2019. 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.

      VARIABLES:

      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.
observational model: Other
time perspective: Cross-Sectional
measure: Low-density lipoprotein cholesterol level
time frame: 4 years
description: Low-density lipoprotein cholesterol levels measured in milligrams per deciliter.
study pop: 
sampling method: Non-Probability Sample
criteria: 
gender: All
minimum age: N/A
maximum age: N/A
healthy volunteers: Accepts Healthy Volunteers
last name: Steven R Jones, MD
role: Study Director
affiliation: Johns Hopkins University
last name: Seth S Martin, MD, MHS
role: Principal Investigator
affiliation: Johns Hopkins University
facility: 
country: United States
citation: Martin SS, Blaha MJ, Toth PP, Joshi PH, McEvoy JW, Ahmed HM, Elshazly MB, Swiger KJ, Michos ED, Kwiterovich PO, Kulkarni KR, Chimera J, Cannon CP, Blumenthal RS, Jones SR. Very large database of lipids: rationale and design. Clin Cardiol. 2013 Nov;36(11):641-8. doi: 10.1002/clc.22214. Epub 2013 Oct 1.
PMID: 24122913
citation: Martin SS, Blaha MJ, Elshazly MB, Brinton EA, Toth PP, McEvoy JW, Joshi PH, Kulkarni KR, Mize PD, Kwiterovich PO, Defilippis AP, Blumenthal RS, Jones SR. Friedewald-estimated versus directly measured low-density lipoprotein cholesterol and treatment implications. J Am Coll Cardiol. 2013 Aug 20;62(8):732-9. doi: 10.1016/j.jacc.2013.01.079. Epub 2013 Mar 21.
PMID: 23524048
citation: Ahmed, HM, Elshazly MB, Martin SS, Blaha MJ, Kulkarni KR, Jones SR. Ratio of Dense to Buoyant LDL Subclass is Associated with LDL Density Phenotype (VLDL-5). The Open Chemical and Biomedical Methods Journal 2013. 6:1-5.
citation: Elshazly MB, Martin SS, Blaha MJ, Joshi PH, Toth PP, McEvoy JW, Al-Hijji MA, Kulkarni KR, Kwiterovich PO, Blumenthal RS, Jones SR. Non-high-density lipoprotein cholesterol, guideline targets, and population percentiles for secondary prevention in 1.3 million adults: the VLDL-2 study (very large database of lipids). J Am Coll Cardiol. 2013 Nov 19;62(21):1960-1965. doi: 10.1016/j.jacc.2013.07.045. Epub 2013 Aug 21.
PMID: 23973689
citation: Swiger KJ, Martin SS, Blaha MJ, Toth PP, Nasir K, Michos ED, Gerstenblith G, Blumenthal RS, Jones SR. Narrowing sex differences in lipoprotein cholesterol subclasses following mid-life: the very large database of lipids (VLDL-10B). J Am Heart Assoc. 2014 Apr 22;3(2):e000851. doi: 10.1161/JAHA.114.000851.
PMID: 24755154
citation: Miller PE, Martin SS, Toth PP, Santos RD, Blaha MJ, Nasir K, Virani SS, Post WS, Blumenthal RS, Jones SR. Screening and advanced lipid phenotyping in familial hypercholesterolemia: The Very Large Database of Lipids Study-17 (VLDL-17). J Clin Lipidol. 2015 Sep-Oct;9(5):676-83. doi: 10.1016/j.jacl.2015.06.015. Epub 2015 Jul 9.
PMID: 26350814
citation: Quispe R, Manalac RJ, Faridi KF, Blaha MJ, Toth PP, Kulkarni KR, Nasir K, Virani SS, Banach M, Blumenthal RS, Martin SS, Jones SR. Relationship of the triglyceride to high-density lipoprotein cholesterol (TG/HDL-C) ratio to the remainder of the lipid profile: The Very Large Database of Lipids-4 (VLDL-4) study. Atherosclerosis. 2015 Sep;242(1):243-50. doi: 10.1016/j.atherosclerosis.2015.06.057. Epub 2015 Jul 7.
PMID: 26232164
citation: Quispe R, Al-Hijji M, Swiger KJ, Martin SS, Elshazly MB, Blaha MJ, Joshi PH, Blumenthal RS, Sniderman AD, Toth PP, Jones SR. Lipid phenotypes at the extremes of high-density lipoprotein cholesterol: The very large database of lipids-9. J Clin Lipidol. 2015 Jul-Aug;9(4):511-8.e1-5. doi: 10.1016/j.jacl.2015.05.005. Epub 2015 Jun 19.
PMID: 26228668
citation: Elshazly MB, Quispe R, Michos ED, Sniderman AD, Toth PP, Banach M, Kulkarni KR, Coresh J, Blumenthal RS, Jones SR, Martin SS. Patient-Level Discordance in Population Percentiles of the Total Cholesterol to High-Density Lipoprotein Cholesterol Ratio in Comparison With Low-Density Lipoprotein Cholesterol and Non-High-Density Lipoprotein Cholesterol: The Very Large Database of Lipids Study (VLDL-2B). Circulation. 2015 Aug 25;132(8):667-76. doi: 10.1161/CIRCULATIONAHA.115.016163. Epub 2015 Jul 2.
PMID: 26137953
citation: Lupton JR, Faridi KF, Martin SS, Sharma S, Kulkarni K, Jones SR, Michos ED. Deficient serum 25-hydroxyvitamin D is associated with an atherogenic lipid profile: The Very Large Database of Lipids (VLDL-3) study. J Clin Lipidol. 2016 Jan-Feb;10(1):72-81.e1. doi: 10.1016/j.jacl.2015.09.006. Epub 2015 Sep 25.
PMID: 26892123
citation: Lupton JR, Quispe R, Kulkarni K, Martin SS, Jones SR. Serum homocysteine is not independently associated with an atherogenic lipid profile: The Very Large Database of Lipids (VLDL-21) study. Atherosclerosis. 2016 Jun;249:59-64. doi: 10.1016/j.atherosclerosis.2016.03.031. Epub 2016 Mar 26.
PMID: 27065242
citation: Sathiyakumar V, Park J, Golozar A, Lazo M, Quispe R, Guallar E, Blumenthal RS, Jones SR, Martin SS. Fasting Versus Nonfasting and Low-Density Lipoprotein Cholesterol Accuracy. Circulation. 2018 Jan 2;137(1):10-19. doi: 10.1161/CIRCULATIONAHA.117.030677. Epub 2017 Oct 16.
PMID: 29038168
citation: Faridi KF, Lupton JR, Martin SS, Banach M, Quispe R, Kulkarni K, Jones SR, Michos ED. Vitamin D deficiency and non-lipid biomarkers of cardiovascular risk. Arch Med Sci. 2017 Jun;13(4):732-737. doi: 10.5114/aoms.2017.68237. Epub 2017 Jun 12.
PMID: 28721139
citation: Sajja A, Park J, Sathiyakumar V, Varghese B, Pallazola VA, Marvel FA, Kulkarni K, Muthukumar A, Joshi PH, Gianos E, Hirsh B, Mintz G, Goldberg A, Morris PB, Sharma G, Blumenthal RS, Michos ED, Post WS, Elshazly MB, Jones SR, Martin SS. Comparison of Methods to Estimate Low-Density Lipoprotein Cholesterol in Patients With High Triglyceride Levels. JAMA Netw Open. 2021 Oct 1;4(10):e2128817. doi: 10.1001/jamanetworkopen.2021.28817.
PMID: 34709388
citation: Chilazi M, Zheng W, Park J, Marvel FA, Khoury S, Jones SR, Martin SS. Quantifying the contribution of lipoprotein(a) to all apoB containing particles. J Clin Lipidol. 2022 Mar-Apr;16(2):220-226. doi: 10.1016/j.jacl.2022.02.004. Epub 2022 Feb 12.
PMID: 35241398
citation: Zheng W, Chilazi M, Park J, Sathiyakumar V, Donato LJ, Meeusen JW, Lazo M, Guallar E, Kulkarni KR, Jaffe AS, Santos RD, Toth PP, Jones SR, Martin SS. Assessing the Accuracy of Estimated Lipoprotein(a) Cholesterol and Lipoprotein(a)-Free Low-Density Lipoprotein Cholesterol. J Am Heart Assoc. 2022 Jan 18;11(2):e023136. doi: 10.1161/JAHA.121.023136. Epub 2022 Jan 13.
PMID: 35023348
citation: Quispe R, Brownstein AJ, Sathiyakumar V, Park J, Chang B, Sajja A, Guallar E, Lazo M, Jones SR, Martin SS. Utility of non-HDL-C and apoB targets in the context of new more aggressive lipid guidelines. Am J Prev Cardiol. 2021 May 29;7:100203. doi: 10.1016/j.ajpc.2021.100203. eCollection 2021 Sep.
PMID: 34611642
citation: Varghese B, Park J, Chew E, Sajja A, Brownstein A, Pallazola VA, Sathiyakumar V, Jones SR, Sniderman AD, Martin SS. Importance of the triglyceride level in identifying patients with a Type III Hyperlipoproteinemia phenotype using the ApoB algorithm. J Clin Lipidol. 2021 Jan-Feb;15(1):104-115.e9. doi: 10.1016/j.jacl.2020.09.011. Epub 2020 Oct 20.
PMID: 33189625
citation: Martin SS, Blaha MJ, Elshazly MB, Toth PP, Kwiterovich PO, Blumenthal RS, Jones SR. Comparison of a novel method vs the Friedewald equation for estimating low-density lipoprotein cholesterol levels from the standard lipid profile. JAMA. 2013 Nov 20;310(19):2061-8. doi: 10.1001/jama.2013.280532.
PMID: 24240933
citation: Sathiyakumar V, Pallazola VA, Park J, Vakil RM, Toth PP, Lazo-Elizondo M, Quispe R, Guallar E, Banach M, Blumenthal RS, Jones SR, Martin SS. Modern prevalence of the Fredrickson-Levy-Lees dyslipidemias: findings from the Very Large Database of Lipids and National Health and Nutrition Examination Survey. Arch Med Sci. 2019 Aug 3;16(6):1279-1287. doi: 10.5114/aoms.2019.86964. eCollection 2020.
PMID: 33224326
citation: Pallazola VA, Sathiyakumar V, Park J, Vakil RM, Toth PP, Lazo-Elizondo M, Brown E, Quispe R, Guallar E, Banach M, Blumenthal RS, Jones SR, Marais D, Soffer D, Sniderman AD, Martin SS. Modern prevalence of dysbetalipoproteinemia (Fredrickson-Levy-Lees type III hyperlipoproteinemia). Arch Med Sci. 2019 Aug 2;16(5):993-1003. doi: 10.5114/aoms.2019.86972. eCollection 2020.
PMID: 32863987
citation: Quispe R, Hendrani AD, Baradaran-Noveiry B, Martin SS, Brown E, Kulkarni KR, Banach M, Toth PP, Brinton EA, Jones SR, Joshi PH. Characterization of lipoprotein profiles in patients with hypertriglyceridemic Fredrickson-Levy and Lees dyslipidemia phenotypes: the Very Large Database of Lipids Studies 6 and 7. Arch Med Sci. 2019 Sep;15(5):1195-1202. doi: 10.5114/aoms.2019.87207. Epub 2019 Aug 22.
PMID: 31572464
citation: Faridi KF, Quispe R, Martin SS, Hendrani AD, Joshi PH, Brinton EA, Cruz DE, Banach M, Toth PP, Kulkarni K, Jones SR. Comparing different assessments of remnant lipoprotein cholesterol: The very large database of lipids. J Clin Lipidol. 2019 Jul-Aug;13(4):634-644. doi: 10.1016/j.jacl.2019.06.001. Epub 2019 Jun 11.
PMID: 31320236
responsible party type: Sponsor
mesh term: Lipid Metabolism Disorders