IDEAS home Printed from https://ideas.repec.org/a/gam/jijerp/v12y2015i11p14275-14284d58493.html
   My bibliography  Save this article

Associations between Carotid Artery Plaque Score, Carotid Hemodynamics and Coronary Heart Disease

Author

Listed:
  • Huiping Zhang

    (Department of Medical Ultrasonics, Ma’anshan People’s Hospital, Ma’anshan 243000, China
    These authors contributed equally to this work.)

  • Mengxue Liu

    (School of Public Health, Wannan Medical College, Wuhu 241000, China
    These authors contributed equally to this work.)

  • Tiantian Ren

    (Department of Medical Ultrasonics, Ma’anshan People’s Hospital, Ma’anshan 243000, China)

  • Xiangqian Wang

    (Department of Medical Ultrasonics, Ma’anshan People’s Hospital, Ma’anshan 243000, China)

  • Dandan Liu

    (Department of Medical Ultrasonics, Ma’anshan People’s Hospital, Ma’anshan 243000, China)

  • Mingliang Xu

    (Department of Medical Ultrasonics, Ma’anshan People’s Hospital, Ma’anshan 243000, China)

  • LingFei Han

    (Center of Clinical Laboratory, Ma’anshan Medical Group, Ma’anshan 243000, China)

  • Zewei Wu

    (School of Public Health, Wannan Medical College, Wuhu 241000, China)

  • Haibo Li

    (School of Public Health, Wannan Medical College, Wuhu 241000, China)

  • Yu Zhu

    (School of Public Health, Wannan Medical College, Wuhu 241000, China)

  • Yufeng Wen

    (School of Public Health, Wannan Medical College, Wuhu 241000, China)

  • Wenjie Sun

    (School of Food Science, Guangdong Pharmaceutical University, Zhongshan 528458, China
    School of Public Health and Tropical Medicine, Tulane University, New Orleans, LA 70112, USA)

Abstract

Background : The carotid artery plaque score (PS) is an independent predictor of Coronary Heart Disease (CHD). This study aims to evaluate the combination of PS and carotid hemodynamics to predict CHD. Methods : A total of 476 patients who underwent carotid ultrasonography and coronary angiography were divided into two groups depending on the presence of CHD. PS, carotid intima-media thickness, and carotid blood flow were measured. Receiver operating characteristic curve analysis was performed to establish the best prediction model for CHD presence. Results : Age, sex, carotid intima-media thickness of internal carotid artery and carotid bifurcation, PS, peak systolic velocity (PSA) of right internal carotid artery (RICA), and most resistance index data were significantly related with the presence of CHD. The area under the curve for a collective model, which included factors of the PS, carotid hemodynamics and age, was significantly higher than the other model. Age, PS, and PSA of RICA were significant contributors for predicting CHD presence. Conclusions : The model of PS and PSA of RICA has greater predictive value for CHD than PS alone. Adding age to PS and PSA of RICA further improves predictive value over PS alone.

Suggested Citation

  • Huiping Zhang & Mengxue Liu & Tiantian Ren & Xiangqian Wang & Dandan Liu & Mingliang Xu & LingFei Han & Zewei Wu & Haibo Li & Yu Zhu & Yufeng Wen & Wenjie Sun, 2015. "Associations between Carotid Artery Plaque Score, Carotid Hemodynamics and Coronary Heart Disease," IJERPH, MDPI, vol. 12(11), pages 1-10, November.
    • Handle: RePEc:gam:jijerp:v:12:y:2015:i:11:p:14275-14284:d:58493
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/1660-4601/12/11/14275/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/1660-4601/12/11/14275/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Ronald Coase & Ning Wang, 2012. "China in Transition," Palgrave Macmillan Books, in: How China Became Capitalist, chapter 2, pages 22-40, Palgrave Macmillan.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Garfield Wayne Hunter & Gideon Sagoe & Daniele Vettorato & Ding Jiayu, 2019. "Sustainability of Low Carbon City Initiatives in China: A Comprehensive Literature Review," Sustainability, MDPI, vol. 11(16), pages 1-37, August.
    2. Stefano Bartolini & Francesco Sarracino, 2021. "Happier and Sustainable. Possibilities for a post-growth society," Department of Economics University of Siena 855, Department of Economics, University of Siena.
    3. Asadullah, M. Niaz & Xiao, Saizi, 2020. "The changing pattern of wage returns to education in post-reform China," Structural Change and Economic Dynamics, Elsevier, vol. 53(C), pages 137-148.
    4. Liu, Wenling & Zhang, Jinyun & Bluemling, Bettina & Mol, Arthur P.J. & Wang, Can, 2015. "Public participation in energy saving retrofitting of residential buildings in China," Applied Energy, Elsevier, vol. 147(C), pages 287-296.
    5. Jing You & Katsushi S. Imai & Raghav Gaiha, 2014. "Decoding the Growth-Nutrition Nexus in China: Inequality, Uncertainty and Food Insecurity," Discussion Paper Series DP2014-28, Research Institute for Economics & Business Administration, Kobe University, revised Dec 2014.
    6. Ciprian Stan & Mike Peng & Garry Bruton, 2014. "Slack and the performance of state-owned enterprises," Asia Pacific Journal of Management, Springer, vol. 31(2), pages 473-495, June.
    7. Sun, Yucheng & Zhou, Xianbo, 2022. "The effect of teacher's concurrent administrative position on students' academic outcomes: Evidence and mechanisms," China Economic Review, Elsevier, vol. 71(C).
    8. Wang, Chengshan & Liu, Yixin & Li, Xialin & Guo, Li & Qiao, Lei & Lu, Hai, 2016. "Energy management system for stand-alone diesel-wind-biomass microgrid with energy storage system," Energy, Elsevier, vol. 97(C), pages 90-104.
    9. Burger, Martijn & Ianchovichina, Elena & Rijkers, Bob, 2013. "Risky business : political instability and greenfield foreign direct investment in the Arab world," Policy Research Working Paper Series 6716, The World Bank.
    10. Wu, Shu & Han, Hongyun, 2022. "Energy transition, intensity growth, and policy evolution: Evidence from rural China," Energy Economics, Elsevier, vol. 105(C).
    11. Zhang, Lixiao & Yang, Min & Zhang, Pengpeng & Hao, Yan & Lu, Zhongming & Shi, Zhimin, 2021. "De-coal process in urban China: What can we learn from Beijing's experience?," Energy, Elsevier, vol. 230(C).
    12. Hou, Benyufang & Liu, Hong & Wang, Sophie Xuefei, 2020. "Returns to military service in off-farm wage employment: Evidence from rural China," China Economic Review, Elsevier, vol. 59(C).
    13. Shirley Daniel & Dongyoung Lee & Wolf Reitsperger, 2014. "Raising quality consciousness among Chinese manufacturing personnel: Testing the effectiveness of performance management tools," Asia Pacific Journal of Management, Springer, vol. 31(2), pages 549-573, June.
    14. Martin Hodula & Martin Macháček & Aleš Melecký, . "Placing the Czech Shadow Banking Sector under the Light," Prague Economic Papers, University of Economics, Prague, vol. 0, pages 1-25.
    15. Rui Zhao & Dingye Wu & Sebastiano Patti, 2020. "A Bibliometric Analysis of Carbon Labeling Schemes in the Period 2007–2019," Energies, MDPI, vol. 13(16), pages 1-16, August.
    16. Emran, M. Shahe & Jiang, Hanchen & Shilpi, Forhad, 2020. "Gender Bias and Intergenerational Educational Mobility: Theory and Evidence from China and India," GLO Discussion Paper Series 497, Global Labor Organization (GLO).
    17. Can Wang & Jie Lin & Wenjia Cai & ZhongXiang Zhang, 2013. "Policies and Practices of Low Carbon City Development in China," Energy & Environment, , vol. 24(7-8), pages 1347-1372, December.
    18. A. Ashwin & Rishikesha Krishnan & Rejie George, 2015. "Family firms in India: family involvement, innovation and agency and stewardship behaviors," Asia Pacific Journal of Management, Springer, vol. 32(4), pages 869-900, December.
    19. Andrew Mountford & Hillel Rapoport, 2016. "Migration Policy, African Population Growth and Global Inequality," The World Economy, Wiley Blackwell, vol. 39(4), pages 543-556, April.
    20. Elutunji Buraimoh & Innocent E. Davidson & Fernando Martinez-Rodrigo, 2019. "Fault Ride-Through Enhancement of Grid Supporting Inverter-Based Microgrid Using Delayed Signal Cancellation Algorithm Secondary Control," Energies, MDPI, vol. 12(20), pages 1-26, October.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:gam:jijerp:v:12:y:2015:i:11:p:14275-14284:d:58493. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.