Evaluation of Non-invasive Measurements of Atherosclerosis in Cardiovascular Risk Stratification
NCT ID: NCT01555294
Last Updated: 2012-03-15
Study Results
The study team has not published outcome measurements, participant flow, or safety data for this trial yet. Check back later for updates.
Basic Information
Get a concise snapshot of the trial, including recruitment status, study phase, enrollment targets, and key timeline milestones.
COMPLETED
1960 participants
OBSERVATIONAL
2005-05-31
2011-05-31
Brief Summary
Review the sponsor-provided synopsis that highlights what the study is about and why it is being conducted.
1. To evaluate whether non-invasive measurements of atherosclerosis are independent predictors of cardiovascular disease and
2. to delineate new biochemical parameters and genetic variations, allowing earlier and more effective preventive therapy
3. The investigators intend to set guidelines for use of NIMA in an outpatient setting to facilitate early detection of increased cardiovascular risk and monitor life-style and pharmaceutical interventions.
In both the general population and in Familial Combined Hyperlipidemia.
Related Clinical Trials
Explore similar clinical trials based on study characteristics and research focus.
Etiology and Prevalence of Peripheral Arterial Disease
NCT00005142
Atherosclerosis, Plaque and CVD in Communities
NCT00091754
Epidemiology of Coronary Artery Calcification
NCT00005349
Epidemiology of Atherosclerosis
NCT00005147
Study of the Determinants of Coronary Atherosclerosis in Familial Hypercholesterolemia (ATHERO-FH Study)
NCT06960902
Detailed Description
Dive into the extended narrative that explains the scientific background, objectives, and procedures in greater depth.
Non-invasive measurements of atherosclerosis (NIMA): An indicator of the overall effect of all known and unknown potential risk factors for atherosclerosis in vivo can be assessed by measuring atherosclerosis directly in the vessel wall. This also provides the opportunity to measure atherosclerosis before developing symptoms of CVD, as changes in the arterial wall precede clinical symptoms of CVD.
Objectives: (1)The main objective is to evaluate whether NIMA are independent predictors of CVD and thus add information to traditional risk factor stratification. (2) Furthermore, we will delineate new biochemical and genetic risk factors, allowing earlier and more effective preventive therapy. (3) We intend to set guidelines for use of NIMA in an outpatient setting to facilitate early detection of increased cardiovascular risk and monitor life-style and pharmaceutical interventions.
We will evaluate 4 different NIMA, based on ultrasound and tonometry techniques, including intima media thickness (IMT), endothelial function by flow mediated dilation (FMD), ankle-brachial index (ABI), Pulse Wave Analyses(PWA) and pulse wave velocity (PWV). The power of NIMA, to predict cardiovascular events will be studied in two available populations, a low risk population cohort, the Nijmegen Biomedical Study (NBS) and a high risk population, families with Familial Combined Hyperlipidemia.
The NBS is a prospective population survey aimed at investigating the frequency of genetic variations in the general population. The study population is recruited as a sex- and age-stratified random sample of all inhabitants of Nijmegen 20 to 90 years old (n=10.000). Recruitment has started in October 2001. The present study is a substudy in the NBS. A follow-up approach will be used to evaluate whether NIMA are related to future cardiovascular events. In total 1517 participants aged 50-70 years were included.
FCH is the most common inherited hyperlipidemia in man. Affected individuals are characterized by elevated cholesterol and/or triglyceride levels and other associated traits including small-dense LDL, insulin resistance, oxidative stress and increased apoB levels, which have been proposed to contribute to the increased risk of CVD. So, this population will be most informative to evaluate the relevance of NIMA in CVD risk assessment as patients exhibit numerous, additive risk factors, which are missed in traditional cardiovascular risk assessment. Our data base contains a unique population of 40 well-characterized FCH families, including 687 patients, relatives and spouses with 5 years follow-up data. These families participate in an ongoing long-term follow-up program with registration of CVD.
All four NIMA's, including IMT, ABI, PWV/PWA, FMD, and both traditional and new biochemical and genetic parameters will be measured in both populations. The relevance of NIMA in identifying subjects at increased risk of CVD will be determined. Furthermore, the effect of risk factors on IMT, ABI, PWV and FMD will be studied, including clinical and traditional risk factors and new biochemical parameters and genetic variations.
Innovative aspects: We will develop an evidence based protocol for NIMA to show the presence of atherosclerosis before clinical manifestation of CVD and to improve cardiovascular risk stratification beyond traditional risk factor screening. Furthermore, we will delineate new risk factors, including both biochemical parameters and genetic variations, contributing to design optimal (new) treatment and to develop new strategies for prevention of CVD in the general population and in a high risk population, FCH.
Clinical relevance: If NIMA turns out to provide powerful information in identifying subjects at increased risk of CVD we will incorporate NIMA into clinical practice guidelines for the purpose of cardiovascular risk stratification and evaluation of risk management strategies. The identification of potential new biochemical and/or genetic risk factors will be very helpful to design optimal treatment and to develop new strategies for identification and prevention of CVD in both the general population and families with FCH.
Conditions
See the medical conditions and disease areas that this research is targeting or investigating.
Study Design
Understand how the trial is structured, including allocation methods, masking strategies, primary purpose, and other design elements.
PROSPECTIVE
Study Groups
Review each arm or cohort in the study, along with the interventions and objectives associated with them.
community-based cohort
The present study is a substudy in the Nijmegen Biomedical Study (NBS). The NBS is a prospective population survey aimed at investigating the frequency of genetic variations in the general population. The study population is recruited as a sex- and age-stratified random sample of all inhabitants of Nijmegen 20 to 90 years old (n=10.000). Recruitment has started in october 2001.
In the current study 1517 participants aged 50-70 years were included from 2005 to 2008, from whom baseline characteristics were obtained. All visited our hospital and during the visit venous blood was drawn, height and weight were measured, a questionnaire about medical history, life style habits, and family history was completed and non-invasive measurements of atherosclerosis were performed.
No interventions assigned to this group
Familial Combined Hyperlipidemia
FCH is the most common inherited dyslipidemia in man. Affected individuals are characterized by elevated cholesterol and/or triglyceride levels and an increased risk of CVD. Our data base contains a unique population of 40 well-characterized FCH families, including 687 patients, relatives and spouses. These families were recruited in 1994 and extensively studied, including information on an extensive panel of biochemical and genetic parameters. In total 343 participants were included in the NIMA study; 103 FCH patients and 240 unaffected relatives from whom baseline characteristics were obtained.
No interventions assigned to this group
Eligibility Criteria
Check the participation requirements, including inclusion and exclusion rules, age limits, and whether healthy volunteers are accepted.
Inclusion Criteria
* age \>18 years
Exclusion Criteria
Familial Combined Hyperlipidemia:
* pregnancy
18 Years
ALL
Yes
Sponsors
Meet the organizations funding or collaborating on the study and learn about their roles.
Radboud University Medical Center
OTHER
Responsible Party
Identify the individual or organization who holds primary responsibility for the study information submitted to regulators.
Jacqueline de Graaf
Prof. Dr. J. de Graaf
Principal Investigators
Learn about the lead researchers overseeing the trial and their institutional affiliations.
Jacqueline de Graaf, MD, PhD
Role: PRINCIPAL_INVESTIGATOR
Radboud University Nijmegen Medical Centre, Dept. of General Internal Medicine, Division of Vascular Medicine
Anton FH Stalenhoef, MD, PhD
Role: STUDY_CHAIR
Radboud University Nijmegen Medical Centre, Dept. of General Internal Medicine, Division of Vascular Medicine
Martin den Heijer, MD, PhD
Role: STUDY_CHAIR
Radboud University Nijmegen Medical Centre, Dept. of Epidemiology and Biostatistics
Suzanne Holewijn, PhD
Role: STUDY_CHAIR
Radboud University Nijmegen Medical Centre, Dept. of General Internal Medicine, Division of Vascular Medicine
Locations
Explore where the study is taking place and check the recruitment status at each participating site.
Radboud University Nijmegen Medical Centre, Department of General Internal Medicine, Division of Vascular Medicine
Nijmegen, , Netherlands
Countries
Review the countries where the study has at least one active or historical site.
References
Explore related publications, articles, or registry entries linked to this study.
Gretarsdottir S, Baas AF, Thorleifsson G, Holm H, den Heijer M, de Vries JP, Kranendonk SE, Zeebregts CJ, van Sterkenburg SM, Geelkerken RH, van Rij AM, Williams MJ, Boll AP, Kostic JP, Jonasdottir A, Jonasdottir A, Walters GB, Masson G, Sulem P, Saemundsdottir J, Mouy M, Magnusson KP, Tromp G, Elmore JR, Sakalihasan N, Limet R, Defraigne JO, Ferrell RE, Ronkainen A, Ruigrok YM, Wijmenga C, Grobbee DE, Shah SH, Granger CB, Quyyumi AA, Vaccarino V, Patel RS, Zafari AM, Levey AI, Austin H, Girelli D, Pignatti PF, Olivieri O, Martinelli N, Malerba G, Trabetti E, Becker LC, Becker DM, Reilly MP, Rader DJ, Mueller T, Dieplinger B, Haltmayer M, Urbonavicius S, Lindblad B, Gottsater A, Gaetani E, Pola R, Wells P, Rodger M, Forgie M, Langlois N, Corral J, Vicente V, Fontcuberta J, Espana F, Grarup N, Jorgensen T, Witte DR, Hansen T, Pedersen O, Aben KK, de Graaf J, Holewijn S, Folkersen L, Franco-Cereceda A, Eriksson P, Collier DA, Stefansson H, Steinthorsdottir V, Rafnar T, Valdimarsson EM, Magnadottir HB, Sveinbjornsdottir S, Olafsson I, Magnusson MK, Palmason R, Haraldsdottir V, Andersen K, Onundarson PT, Thorgeirsson G, Kiemeney LA, Powell JT, Carey DJ, Kuivaniemi H, Lindholt JS, Jones GT, Kong A, Blankensteijn JD, Matthiasson SE, Thorsteinsdottir U, Stefansson K. Genome-wide association study identifies a sequence variant within the DAB2IP gene conferring susceptibility to abdominal aortic aneurysm. Nat Genet. 2010 Aug;42(8):692-7. doi: 10.1038/ng.622. Epub 2010 Jul 11.
ter Avest E, Holewijn S, Stalenhoef AF, de Graaf J. Variation in non-invasive measurements of vascular function in healthy volunteers during daytime. Clin Sci (Lond). 2005 May;108(5):425-31. doi: 10.1042/CS20040300.
ter Avest E, Abbink EJ, Holewijn S, de Graaf J, Tack CJ, Stalenhoef AF. Effects of rosuvastatin on endothelial function in patients with familial combined hyperlipidaemia (FCH). Curr Med Res Opin. 2005 Sep;21(9):1469-76. doi: 10.1185/030079905X61910.
ter Avest E, Holewijn S, Bredie SJ, Stalenhoef AF, de Graaf J. Remnant particles are the major determinant of an increased intima media thickness in patients with familial combined hyperlipidemia (FCH). Atherosclerosis. 2007 Mar;191(1):220-6. doi: 10.1016/j.atherosclerosis.2006.03.025. Epub 2006 May 4.
ter Avest E, Holewijn S, Bredie SJ, van Tits LJ, Stalenhoef AF, de Graaf J. Pulse wave velocity in familial combined hyperlipidemia. Am J Hypertens. 2007 Mar;20(3):263-9. doi: 10.1016/j.amjhyper.2006.09.015.
Ter Avest E, Holewijn S, van Tits LJ, de Wit HM, Stalenhoef AF, de Graaf J. Endothelial function in familial combined hyperlipidaemia. Eur J Clin Invest. 2007 May;37(5):381-9. doi: 10.1111/j.1365-2362.2007.01804.x.
Koenen TB, van Tits LJ, Holewijn S, Lemmers HL, den Heijer M, Stalenhoef AF, de Graaf J. Adiponectin multimer distribution in patients with familial combined hyperlipidemia. Biochem Biophys Res Commun. 2008 Nov 7;376(1):164-8. doi: 10.1016/j.bbrc.2008.08.111. Epub 2008 Aug 30.
Holewijn S, den Heijer M, Swinkels DW, Stalenhoef AF, de Graaf J. The metabolic syndrome and its traits as risk factors for subclinical atherosclerosis. J Clin Endocrinol Metab. 2009 Aug;94(8):2893-9. doi: 10.1210/jc.2009-0084. Epub 2009 May 5.
Holewijn S, den Heijer M, Swinkels DW, Stalenhoef AF, de Graaf J. Brachial artery diameter is related to cardiovascular risk factors and intima-media thickness. Eur J Clin Invest. 2009 Jul;39(7):554-60. doi: 10.1111/j.1365-2362.2009.02152.x. Epub 2009 May 8.
Holewijn S, den Heijer M, van Tits LJ, Swinkels DW, Stalenhoef AF, de Graaf J. Impact of waist circumference versus adiponectin level on subclinical atherosclerosis: a cross-sectional analysis in a sample from the general population. J Intern Med. 2010 Jun;267(6):588-98. doi: 10.1111/j.1365-2796.2009.02192.x. Epub 2009 Nov 4.
Holewijn S, den Heijer M, Swinkels DW, Stalenhoef AF, de Graaf J. Apolipoprotein B, non-HDL cholesterol and LDL cholesterol for identifying individuals at increased cardiovascular risk. J Intern Med. 2010 Dec;268(6):567-77. doi: 10.1111/j.1365-2796.2010.02277.x.
Holewijn S, Sniderman AD, den Heijer M, Swinkels DW, Stalenhoef AF, de Graaf J. Application and validation of a diagnostic algorithm for the atherogenic apoB dyslipoproteinemias: ApoB dyslipoproteinemias in a Dutch population-based study. Eur J Clin Invest. 2011 Apr;41(4):423-33. doi: 10.1111/j.1365-2362.2010.02426.x. Epub 2010 Dec 3.
Bus BA, Marijnissen RM, Holewijn S, Franke B, Purandare N, de Graaf J, den Heijer M, Buitelaar JK, Voshaar RC. Depressive symptom clusters are differentially associated with atherosclerotic disease. Psychol Med. 2011 Jul;41(7):1419-28. doi: 10.1017/S0033291710002151. Epub 2010 Dec 10.
Holewijn S, den Heijer M, Stalenhoef AF, de Graaf J. Non-invasive measurements of atherosclerosis (NIMA): current evidence and future perspectives. Neth J Med. 2010 Dec;68(12):388-99.
Marijnissen RM, Bus BA, Holewijn S, Franke B, Purandare N, de Graaf J, den Heijer M, Buitelaar JK, Oude Voshaar RC. Depressive symptom clusters are differentially associated with general and visceral obesity. J Am Geriatr Soc. 2011 Jan;59(1):67-72. doi: 10.1111/j.1532-5415.2010.03228.x.
Ter Avest E, Stalenhoef AF, de Graaf J. What is the role of non-invasive measurements of atherosclerosis in individual cardiovascular risk prediction? Clin Sci (Lond). 2007 May;112(10):507-16.
de Graaf J, van der Vleuten GM, ter Avest E, Dallinga-Thie GM, Stalenhoef AF. High plasma level of remnant-like particles cholesterol in familial combined hyperlipidemia. J Clin Endocrinol Metab. 2007 Apr;92(4):1269-75. doi: 10.1210/jc.2006-1973. Epub 2007 Jan 16.
van der Vleuten GM, Isaacs A, Zeng WW, ter Avest E, Talmud PJ, Dallinga-Thie GM, van Duijn CM, Stalenhoef AF, de Graaf J. Haplotype analyses of the APOA5 gene in patients with familial combined hyperlipidemia. Biochim Biophys Acta. 2007 Jan;1772(1):81-8. doi: 10.1016/j.bbadis.2006.10.012. Epub 2006 Oct 26.
ter Avest E, Abbink EJ, de Graaf J, Tack CJ, Stalenhoef AF. Effect of rosuvastatin on insulin sensitivity in patients with familial combined hyperlipidaemia. Eur J Clin Invest. 2005 Sep;35(9):558-64. doi: 10.1111/j.1365-2362.2005.01549.x.
Brouwers MC, de Graaf J, van Greevenbroek MM, Georgieva AM, van der Kallen CJ, Ter Avest E, Stehouwer CD, Stalenhoef AF, de Bruin TW. Parabolic relationship between plasma triacylglycerols and LDL-cholesterol in familial combined hyperlipidaemia: the multiple-type hyperlipidaemia explained? Clin Sci (Lond). 2008 Mar;114(5):393-401. doi: 10.1042/CS20070314.
van Himbergen TM, van Tits LJ, Ter Avest E, Roest M, Voorbij HA, de Graaf J, Stalenhoef AF. Paraoxonase (PON1) is associated with familial combined hyperlipidemia. Atherosclerosis. 2008 Jul;199(1):87-94. doi: 10.1016/j.atherosclerosis.2007.10.017. Epub 2007 Dec 21.
Murabito JM, White CC, Kavousi M, Sun YV, Feitosa MF, Nambi V, Lamina C, Schillert A, Coassin S, Bis JC, Broer L, Crawford DC, Franceschini N, Frikke-Schmidt R, Haun M, Holewijn S, Huffman JE, Hwang SJ, Kiechl S, Kollerits B, Montasser ME, Nolte IM, Rudock ME, Senft A, Teumer A, van der Harst P, Vitart V, Waite LL, Wood AR, Wassel CL, Absher DM, Allison MA, Amin N, Arnold A, Asselbergs FW, Aulchenko Y, Bandinelli S, Barbalic M, Boban M, Brown-Gentry K, Couper DJ, Criqui MH, Dehghan A, den Heijer M, Dieplinger B, Ding J, Dorr M, Espinola-Klein C, Felix SB, Ferrucci L, Folsom AR, Fraedrich G, Gibson Q, Goodloe R, Gunjaca G, Haltmayer M, Heiss G, Hofman A, Kieback A, Kiemeney LA, Kolcic I, Kullo IJ, Kritchevsky SB, Lackner KJ, Li X, Lieb W, Lohman K, Meisinger C, Melzer D, Mohler ER 3rd, Mudnic I, Mueller T, Navis G, Oberhollenzer F, Olin JW, O'Connell J, O'Donnell CJ, Palmas W, Penninx BW, Petersmann A, Polasek O, Psaty BM, Rantner B, Rice K, Rivadeneira F, Rotter JI, Seldenrijk A, Stadler M, Summerer M, Tanaka T, Tybjaerg-Hansen A, Uitterlinden AG, van Gilst WH, Vermeulen SH, Wild SH, Wild PS, Willeit J, Zeller T, Zemunik T, Zgaga L, Assimes TL, Blankenberg S, Boerwinkle E, Campbell H, Cooke JP, de Graaf J, Herrington D, Kardia SL, Mitchell BD, Murray A, Munzel T, Newman AB, Oostra BA, Rudan I, Shuldiner AR, Snieder H, van Duijn CM, Volker U, Wright AF, Wichmann HE, Wilson JF, Witteman JC, Liu Y, Hayward C, Borecki IB, Ziegler A, North KE, Cupples LA, Kronenberg F. Association between chromosome 9p21 variants and the ankle-brachial index identified by a meta-analysis of 21 genome-wide association studies. Circ Cardiovasc Genet. 2012 Feb 1;5(1):100-12. doi: 10.1161/CIRCGENETICS.111.961292. Epub 2011 Dec 23.
Other Identifiers
Review additional registry numbers or institutional identifiers associated with this trial.
CMO 2003/174
Identifier Type: -
Identifier Source: org_study_id
More Related Trials
Additional clinical trials that may be relevant based on similarity analysis.