Beijing Vascular Disease Patients Evaluation STudy

NCT ID: NCT02569268

Last Updated: 2016-05-10

Basic Information

• Recruitment Status: COMPLETED
• Total Enrollment: 2000 participants
• Study Classification: OBSERVATIONAL
• Study Start Date: 2012-01-31
• Study Completion Date: 2015-12-31

Brief Summary

Arteriosclerotic vascular-related diseases have become a serious threat to human health. The prevention and reversal of vascular events has become an important direction of medicine. Early vascular disease detection system includes pulse wave velocity (PWV), carotid intima-media thickness (IMT) and coronary flow velocity reserve (CFVR), flow-mediated vasodilation (FMD), cardio-ankle vascular index (CAVI), ankle-brachial index (ABI), insulin resistance index (HOMA-IR), hypersensitivity C- reactive protein (hs-CRP), plasma homocysteine (Hcy), B-type natriuretic peptide (BNP), uric acid (UA), and so on. However, there is no international and domestic comprehensive study on simple and practical evaluation system by jointing application of these evaluation indexes to detect vascular disease. Combined evaluation function can simultaneously detect and evaluate vascular abnormalities, make up a single indicator shortcoming in clinical applications from multiple levels of vascular structure and function. However, all indicators testing not only cause time consuming, but also increase the burden on patients, resulting unnecessary waste of medical resources. Thus, the present study was to select appropriate indicators and effective joint, and establish the rating system, using the vascular system to predict the incidence of terminal events, and compare this system with the previous scoring system such as FRS (Framingham Risk Score) pros and cons.

Detailed Description

This study aimed to establish vascular disease early detection system and scoring systems by comprehensive vascular disease risk factors and vascular function evaluation index. And prevention of vascular-related diseases, high-risk groups through positive lifestyle changes: such as lipid-lowering, smoking cessation, reversing early vascular lesions, to avoid end-stage vascular events.

1. Detection of vascular function indicators include: PWV, IMT, CFVR, FMD, CAVI, ABI, LDL-C, HOMA-IR, hs-CRP, Hcy, BNP, UA and so on.

2. Design the questionnaire: surveying the lifestyle, personal history, family history of the study population.

3. Follow-up:2 years of observation, recording the end time of vascular events, including cardiovascular events (acute myocardial infarction, angina, coronary reperfusion therapy), stroke, heart failure, peripheral vascular disease.

4. Statistics: Complex the factors of vascular disease, screen for an effective indicator to predict cardiovascular events, and based on the weight of the different factors, the establish the rating system, use the system to predict the incidence of vascular events terminal, and compare the system with the previous scoring system such as FRS (Framingham Risk Score).

Conditions

Vascular Disease

Study Design

• Observational Model Type: COHORT
• Study Time Perspective: PROSPECTIVE

Study Groups

exposure population

No special intervention(s) .

Questionnaires and follow-up

Intervention Type: OTHER

Detecting the vascular functional parameters, questionnaire and follow-up: For 2 years or the occurrence of vascular events end time, including cardiovascular events (acute myocardial infarction, angina, coronary reperfusion therapy), stroke, heart failure, peripheral vascular disease.

Interventions

Questionnaires and follow-up

Detecting the vascular functional parameters, questionnaire and follow-up: For 2 years or the occurrence of vascular events end time, including cardiovascular events (acute myocardial infarction, angina, coronary reperfusion therapy), stroke, heart failure, peripheral vascular disease.

Intervention Type: OTHER

Eligibility Criteria

Inclusion Criteria

1. health subjects with or without history of vascular-related diseases; or

2. hypertension subjects; or

3. diabetes mellitus subjects; or

4. coronary artery disease; or

5. cerebrovascular disease;or

6. hyperlipidemia subjects.

Exclusion Criteria

1. severe infectious diseases and inflammatory diseases;

2. liver and kidney failure;

3. cancer;

4. immunological diseases;

5. hematological system diseases。

• Minimum Eligible Age: 45 Years
• Maximum Eligible Age: 75 Years
• Eligible Sex: ALL
• Accepts Healthy Volunteers: Yes

Sponsors

Peking University Third Hospital

OTHER

Sponsor Role: collaborator

Peking University Health Science Center

OTHER

Sponsor Role: collaborator

Beijing Municipal Science & Technology Commission

OTHER

Sponsor Role: collaborator

Chinese National Natural Science Foundation Commission

UNKNOWN

Sponsor Role: collaborator

Ministry of Education, China

OTHER_GOV

Sponsor Role: collaborator

National Health and Family Planning Commission of the China

UNKNOWN

Sponsor Role: collaborator

Peking University Shougang Hospital

OTHER

Sponsor Role: lead

Responsible Party

Hongyu Wang

Director and Professor of Vascular Medicine

Responsibility Role: PRINCIPAL_INVESTIGATOR

References

Wang G， He L，Hong T.Reply to letter to the editor: coronary flow velocity reserve was impaired in chronic hyperhomocysteinemia patients：why?Am J Physiol Endocrinol Metab.2011，300：E1177-E1178.

Reference Type: BACKGROUND

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Reference Type: RESULT

PMID: 17563527 (View on PubMed)

Willum-Hansen T, Staessen JA, Torp-Pedersen C, Rasmussen S, Thijs L, Ibsen H, Jeppesen J. Prognostic value of aortic pulse wave velocity as index of arterial stiffness in the general population. Circulation. 2006 Feb 7;113(5):664-70. doi: 10.1161/CIRCULATIONAHA.105.579342.

Reference Type: RESULT

PMID: 16461839 (View on PubMed)

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Reference Type: RESULT

PMID: 21719371 (View on PubMed)

Hirata K, Kadirvelu A, Di Tullio M, Homma S, Choy AM, Lang CC. Coronary vasomotor function is abnormal in first-degree relatives of patients with type 2 diabetes. Diabetes Care. 2007 Jan;30(1):150-3. doi: 10.2337/dc06-1529. No abstract available.

Reference Type: RESULT

PMID: 17192351 (View on PubMed)

Ibata J, Sasaki H, Kakimoto T, Matsuno S, Nakatani M, Kobayashi M, Tatsumi K, Nakano Y, Wakasaki H, Furuta H, Nishi M, Nanjo K. Cardio-ankle vascular index measures arterial wall stiffness independent of blood pressure. Diabetes Res Clin Pract. 2008 May;80(2):265-70. doi: 10.1016/j.diabres.2007.12.016. Epub 2008 Feb 1.

Reference Type: RESULT

PMID: 18242761 (View on PubMed)

Wild SH, Byrne CD, Smith FB, Lee AJ, Fowkes FG. Low ankle-brachial pressure index predicts increased risk of cardiovascular disease independent of the metabolic syndrome and conventional cardiovascular risk factors in the Edinburgh Artery Study. Diabetes Care. 2006 Mar;29(3):637-42. doi: 10.2337/diacare.29.03.06.dc05-1637.

Reference Type: RESULT

PMID: 16505519 (View on PubMed)

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Reference Type: RESULT

PMID: 19029125 (View on PubMed)

He L, Zeng H, Li F, Feng J, Liu S, Liu J, Yu J, Mao J, Hong T, Chen AF, Wang X, Wang G. Homocysteine impairs coronary artery endothelial function by inhibiting tetrahydrobiopterin in patients with hyperhomocysteinemia. Am J Physiol Endocrinol Metab. 2010 Dec;299(6):E1061-5. doi: 10.1152/ajpendo.00367.2010. Epub 2010 Sep 21.

Reference Type: RESULT

PMID: 20858749 (View on PubMed)

Liu H, Liu J, Huang W, Zhao H, Zhao N, Wang H. Association between multi-site atherosclerotic plaques and systemic arteriosclerosis: results from the BEST study (Beijing Vascular Disease Patients Evaluation Study). Cardiovasc Ultrasound. 2020 Aug 1;18(1):30. doi: 10.1186/s12947-020-00212-3.

Reference Type: DERIVED

PMID: 32738905 (View on PubMed)

Liu H, Xie W, Liu J, Zhao H, Wu Y, Wang H. Comparison of vascular-related diseases in their associations with carotid femoral pulse wave velocity: From the Beijing Vascular Disease Patients Evaluation Study (BEST Study). Int J Clin Pract. 2019 Nov;73(11):e13400. doi: 10.1111/ijcp.13400. Epub 2019 Aug 19.

Reference Type: DERIVED

PMID: 31390128 (View on PubMed)

Lan Y, Liu H, Liu J, Zhao H, Wang H. Gender Difference of the Relationship between Arterial Stiffness and Blood Pressure Variability in Participants in Prehypertension. Int J Hypertens. 2019 Jun 25;2019:7457385. doi: 10.1155/2019/7457385. eCollection 2019.

Reference Type: DERIVED

PMID: 31341663 (View on PubMed)

Zhao XX, Liu J, Zhao H, Zhou Y, Li L, Wang H. The effect of cardiovascular risk factors on the carotid intima-media thickness in an old-aged cohort with hypertension: a longitudinal evolution with 4-year follow-up of a random clinical trial. Clin Exp Hypertens. 2019;41(1):49-57. doi: 10.1080/10641963.2018.1441860. Epub 2018 Mar 19.

Reference Type: DERIVED

PMID: 29553852 (View on PubMed)

Other Identifiers

Hongyu Wang

Identifier Type: -

Identifier Source: org_study_id