Cardiovascular Diseases Clinical Trial
— VIPVIZAOfficial title:
Direct VIsualiZAtion of Asymptomatic Atherosclerotic Disease for Optimum Cardiovascular Prevention. A Population Based Pragmatic Randomised Controlled Trial Within Västerbotten Intervention Programme (VIP) and Ordinary Care.
Verified date | January 2024 |
Source | Umeå University |
Contact | n/a |
Is FDA regulated | No |
Health authority | |
Study type | Interventional |
The purpose of VIPVIZA is to assess the impact of pictorial information about asymptomatic atherosclerotic disease to both physician and patient, for improving physicians' adherence to prevention guidelines and patient perception and understanding of the cardiovascular disease (CVD) risk and consequent motivation for prevention. The intervention effect is assessed by differences between randomization groups in the primaryboutcome Framingham Risk Score (FRS) and the secondary outcomes the Systematic COronary Risk Evaluation (SCORE) as well as changes in these scores after one, three and six years. Secondary outcomes are also atherosclerotic disease progression, as assessed by repeated carotid ultrasound examination after three and six years, as well as the prevalence of acute events and mortality after 10 years . Social, psychological and cognitive determinants of behavioral change as well as the intervention impact on novel biomarkers will also be explored.
Status | Active, not recruiting |
Enrollment | 3532 |
Est. completion date | December 31, 2027 |
Est. primary completion date | November 10, 2017 |
Accepts healthy volunteers | Accepts Healthy Volunteers |
Gender | All |
Age group | 40 Years to 60 Years |
Eligibility | Inclusion Criteria: - Participant in the Västerbotten Intervention Programme and - 40 years old and a history of CVD at age < 60 years among first-degree relative or - 50 years old and at least one of the following six criteria: - a history of CVD at age < 60 years among first-degree relative, - smoking, - diabetes, - hypertension, - S-LDL-cholesterol =4.5 mmol/L, - abdominal obesity or - 60 years old Exclusion Criteria: - Stenosis =50% of the carotid lumen |
Country | Name | City | State |
---|---|---|---|
Sweden | Clinical Reseach Center Umeå University Hospital | Umeå |
Lead Sponsor | Collaborator |
---|---|
Umeå University | Västerbotten County Council, Sweden |
Sweden,
Ali H, Näslund U, Nyman E, Grönlund C. Translation of atherosclerotic disease features onto healthy carotid ultrasound images using domain-to-domain translation. Biomedical Signal Processing & Control. 2023
Andersson EM, Johansson H, Nordin S, Lindvall K. Cognitive and emotional reactions to pictorial-based risk communication on subclinical atherosclerosis: a qualitative study within the VIPVIZA trial. Scand J Prim Health Care. 2023 Mar;41(1):69-80. doi: 10. — View Citation
Bengtsson A, Lindvall K, Norberg M, Fharm E. Increased knowledge makes a difference! - general practitioners' experiences of pictorial information about subclinical atherosclerosis for primary prevention: an interview study from the VIPVIZA trial. Scand J — View Citation
Bengtsson A, Nyman E, Gronlund C, Wester P, Naslund U, Fharm E, Norberg M. Multi-view carotid ultrasound is stronger associated with cardiovascular risk factors than presence of plaque or single carotid intima media thickness measurements in subclinical a — View Citation
Fortuin-de Smidt M, Bergman F, Gronlund C, Hult A, Norberg M, Wennberg M, Wennberg P. Early adulthood exercise capacity, but not muscle strength, associates with subclinical atherosclerosis 40 years later in Swedish men. Eur J Prev Cardiol. 2023 Mar 27;30 — View Citation
Holmberg H, Sjolander M, Glader EL, Naslund U, Carlberg B, Norberg M, Sjalander A. Time to initiation of lipid-lowering drugs for subclinical atherosclerosis: sub-study of VIPVIZA randomized controlled trial, with single-arm cross-over. Eur Heart J Open. — View Citation
Kovrov O, Landfors F, Saar-Kovrov V, Naslund U, Olivecrona G. Lipoprotein size is a main determinant for the rate of hydrolysis by exogenous LPL in human plasma. J Lipid Res. 2022 Jan;63(1):100144. doi: 10.1016/j.jlr.2021.100144. Epub 2021 Oct 26. — View Citation
Lindahl B, Norberg M, Johansson H, Lindvall K, Ng N, Nordin M, Nordin S, Naslund U, Persson A, Vanoli D, Schulz PJ. Health literacy is independently and inversely associated with carotid artery plaques and cardiovascular risk. Eur J Prev Cardiol. 2020 Jan — View Citation
Naslund U, Ng N, Lundgren A, Fharm E, Gronlund C, Johansson H, Lindahl B, Lindahl B, Lindvall K, Nilsson SK, Nordin M, Nordin S, Nyman E, Rocklov J, Vanoli D, Weinehall L, Wennberg P, Wester P, Norberg M; VIPVIZA trial group. Visualization of asymptomatic — View Citation
Naslund U, Norberg M, Wennberg P. The TANSNIP-PESA trial is not the end of the story. Eur Heart J. 2023 May 1;44(17):1574. doi: 10.1093/eurheartj/ehad135. No abstract available. — View Citation
Nordin S, Norberg M, Braf I, Johansson H, Lindahl B, Lindvall K, Nordin M, Nyman E, Vallstrom C, Wennberg P, Liv P, Naslund U. Associations between emotional support and cardiovascular risk factors and subclinical atherosclerosis in middle-age. Psychol He — View Citation
Nyman E, Gronlund C, Vanoli D, Liv P, Norberg M, Bengtsson A, Wennberg P, Wester P, Naslund U; VIPVIZA trial group. Reduced progression of carotid intima media thickness by personalised pictorial presentation of subclinical atherosclerosis in VIPVIZA-A ra — View Citation
Nyman E, Lindqvist P, Naslund U, Gronlund C. Risk Marker Variability in Subclinical Carotid Plaques Based on Ultrasound is Influenced by Cardiac Phase, Echogenicity and Size. Ultrasound Med Biol. 2018 Aug;44(8):1742-1750. doi: 10.1016/j.ultrasmedbio.2018. — View Citation
Nyman E, Liv P, Wester P, Naslund U, Gronlund C. Carotid wall echogenicity at baseline associates with accelerated vascular aging in a middle-aged population. Int J Cardiovasc Imaging. 2023 Mar;39(3):575-583. doi: 10.1007/s10554-022-02760-3. Epub 2023 Jan — View Citation
Nyman E, Vanoli D, Naslund U, Gronlund C. Inter-sonographer reproducibility of carotid ultrasound plaque detection using Mannheim consensus in subclinical atherosclerosis. Clin Physiol Funct Imaging. 2020 Jan;40(1):46-51. doi: 10.1111/cpf.12602. Epub 2019 — View Citation
Salvador D Jr, Liv P, Norberg M, Pahud de Mortanges A, Saner H, Glisic M, Nicoll R, Muka T, Nyman E, Bano A, Naslund U. Changes in fasting plasma glucose and subclinical atherosclerosis: A cohort study from VIPVIZA trial. Atherosclerosis. 2023 Oct 17:1173 — View Citation
Schulz PJ, Lindahl B, Hartung U, Naslund U, Norberg M, Nordin S. The right pick: Does a self-assessment measurement tool correctly identify health care consumers with inadequate health literacy? Patient Educ Couns. 2022 Apr;105(4):926-932. doi: 10.1016/j. — View Citation
Sjolander M, Carlberg B, Norberg M, Naslund U, Ng N. Prescription of Lipid-Lowering and Antihypertensive Drugs Following Pictorial Information About Subclinical Atherosclerosis: A Secondary Outcome of a Randomized Clinical Trial. JAMA Netw Open. 2021 Aug — View Citation
Sommar JN, Norberg M, Gronlund C, Segersson D, Naslund U, Forsberg B. Long-term exposure to particulate air pollution and presence and progression of carotid artery plaques - A northern Sweden VIPVIZA cohort study. Environ Res. 2022 Aug;211:113061. doi: 1 — View Citation
Vanoli D, Lindqvist P, Wiklund U, Henein M, Naslund U. Fully automated on-screen carotid intima-media thickness measurement: a screening tool for subclinical atherosclerosis. J Clin Ultrasound. 2013 Jul-Aug;41(6):333-9. doi: 10.1002/jcu.22041. Epub 2013 M — View Citation
Vanoli D, Wiklund U, Lindqvist P, Henein M, Naslund U. Successful novice's training in obtaining accurate assessment of carotid IMT using an automated ultrasound system. Eur Heart J Cardiovasc Imaging. 2014 Jun;15(6):637-42. doi: 10.1093/ehjci/jet254. Epu — View Citation
* Note: There are 21 references in all — Click here to view all references
Type | Measure | Description | Time frame | Safety issue |
---|---|---|---|---|
Other | FRS, Adjusted for Baseline Values | FRS=Framingham risk score. Composite gender-specific algorithm used to estimate the 10-year cardiovascular risk of an individual, based on levels of blood pressure, total cholesterol, LDL-cholesterol, systolic blood pressure, treatment for high blood pressure, diabetes, smoking and age. Minimum value=0, maximum value 100. Higher score means a worse outcome, i.e. a higher risk of cardiovascular diseases. | Follow-up after three years during September 5 2016 - May 28 2019 | |
Other | SCORE Adjusted for Baseline Levels | SCORE: European systematic coronary risk evaluation. Risk of death (%) in myocardial infarction within 10 years expressed as statistical assessment based on smoking, systolic blood-pressure, blood cholesterol, age and sex.
SCORE is evaluated as a continuous variable with Minimum value=0%, maximum value=100%. Higher score means a worse outcome, i.e. a higher risk of cardiovascular diseases. |
Three years of follow-up, data collected during September 5 2016 - May 28 2019 | |
Primary | FRS | Framingham risk score. Composite gender-specific algorithm used to estimate the 10-year cardiovascular risk of an individual, based on levels of blood pressure, total cholesterol, LDL-cholesterol, systolic blood pressure, treatment for high blood pressure, diabetes, smoking and age. Minimum value=0, maximum value 100. Higher score means a worse outcome, i.e. a higher risk of cardiovascular diseases. | one year | |
Secondary | SCORE | SCORE: European systematic coronary risk evaluation. Risk of death (%) in myocardial infarction within 10 years expressed as statistical assessment based on smoking, systolic blood-pressure, blood cholesterol, age and sex.
SCORE is evaluated as a continuous variable with Minimum value=0%, maximum value=100%. Higher score means a worse outcome, i.e. a higher risk of cardiovascular diseases. |
Follow-up after one year | |
Secondary | Hospitalizations Due to Stroke, Myocardial Infarctions and Re-vascularizations | Data will be collected from the In-patient registry at the National Board of Health and Welfare. | 10 years | |
Secondary | Total Mortality and Cause-specific Mortality Due to Myocardial Infarctions and Stroke | Data will be collected from the Causes of Deaths registry at the National Board of Health and Welfare. | 10 years | |
Secondary | Total Mortality | Data will be collected from computerized medical records from hospital care in the county, regional quality registry on myocardial infarctions and from the In-patient registry at the National Board of Health and Welfare. | 10 years | |
Secondary | Carotid Atherosclerosis | Carotid intima media thickness | 3 years after baseline |
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