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"Kun-Hee Han"

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"Kun-Hee Han"

Original Articles
The Relationship between Aortic Knob Width and Metabolic Syndrome
Eun-Ji Lee, Jee-Hye Han, Kil-Young Kwon, Jung-Hwan Kim, Kun-Hee Han, Si-Yeun Sung, Seo-Rim Hong
Korean J Fam Med 2018;39(4):253-259.   Published online July 16, 2018
DOI: https://doi.org/10.4082/kjfm.17.0038
Background
Both aortic knob width and metabolic syndrome are suggested to be related to atherosclerosis and cardiovascular diseases. However, the association between aortic knob width and metabolic syndrome is unknown. This study aimed to explore this relationship.
Methods
Participants were 3,705 Korean adults aged 18–79 years who visited the health promotion center of a general hospital. Data on chest radiography, physical measurements, medical and social history, and blood tests were collected. We defined metabolic syndrome according to the National Cholesterol Education Program Adult Treatment Panel III criteria. A single reviewer measured aortic knob width on chest radiography.
Results
Aortic knob width was significantly correlated with age; body mass index; waist circumference; systolic and diastolic blood pressures; total cholesterol, triglyceride, high-density lipoprotein cholesterol, low-density lipoprotein cholesterol, fasting glucose, glycated hemoglobin, insulin, and uric acid levels; and homeostatic model assessment of insulin resistance values. Aortic knob width significantly increased as the number of metabolic syndrome components increased. Moreover, metabolic syndrome component values tended to increase across the quartile groups of aortic knob width after adjusting for age, exercise, smoking status, and alcohol use. Through receiver operating characteristic curve analysis, we determined the clinically useful cutoff value for aortic knob width to be 30.47 mm in premenopausal women.
Conclusion
Aortic knob width was found to be significantly related to metabolic syndrome and its individual components.

Citations

Citations to this article as recorded by  
  • The Relationship Between Aortic Knob Width and Metabolic Syndrome in Women with Polycystic Ovary Syndrome
    Kıymet İclal Ayaydın Yılmaz, Emre Yılmaz, Sencer Çamcı
    Journal of Clinical Medicine.2026; 15(13): 5273.     CrossRef
  • Chest x‐ray aortic size and risk of death and cardiovascular disease in older Chinese: Guangzhou biobank cohort study
    Linye Sun, Wenbo Tian, Jiao Wang, Tianqiong Wu, Xiangyi Liu, Yali Jin, Taihing Lam, Karkeung Cheng, Weisen Zhang, Lin Xu
    Journal of Internal Medicine.2025; 297(5): 543.     CrossRef
  • Chest X-Ray as a Screening Tool for Aortic Arch Dilation: CT-Based Evaluation of Reliability
    Maciej Lis, Robert Banyś, Bernard Solewski, Aleksandra Stanek, Maciej Krupiński, Barbara Obuchowicz, Tomasz Puto, Adam Piórkowski, Krzysztof Batko
    Diagnostics.2025; 15(20): 2564.     CrossRef
  • The aortic knob index as a novel predictor of new-onset atrial fibrillation after off-pump coronary artery bypass grafting
    Naoki Yamamoto, Koji Onoda
    Surgery Today.2024; 54(2): 168.     CrossRef
  • The Relationship of Aortic Knob Width with Mortality in Patients with Ishemic Stroke
    Aziz Vatan, Yusuf Jankat Bozkurt, Mehmet Semih Çakır, Cansu Erkol, Turgut Karabağ
    Bulletin of Cardiovasculer Academy.2024;[Epub]     CrossRef
  • Aortic Knob Diameter in Chest Radiographs of Healthy Adults in Uganda
    Steven Magera, Senai Goitom Sereke, Emmy Okello, Faith Ameda, Geoffrey Erem
    Reports in Medical Imaging.2022; Volume 15: 21.     CrossRef
  • The association between aortic knob width on chest x‐ray and obstructive sleep apnoea syndrome in patients referred for sleep testing
    Erdem Cetin, Hasan Casim
    The Clinical Respiratory Journal.2019; 13(11): 716.     CrossRef
  • 8,798 View
  • 94 Download
  • 7 Web of Science
  • 7 Crossref
Association of 10-Year Atherosclerotic Cardiovascular Disease Risk Score with Carotid Intima-Media Thickness and Plaque
Dong-Goo Lee, Jee-Hye Han, Kil-Young Kwon, Jung-Hwan Kim, Kun-Hee Han, Eun-Ji Lee
Korean J Fam Med 2015;36(6):310-315.   Published online November 20, 2015
DOI: https://doi.org/10.4082/kjfm.2015.36.6.310
Background

The aim of this study was to determine the association between carotid intima-media thickness (IMT) and newly developed 10-year atherosclerotic cardiovascular disease (ASCVD) risk score.

Methods

Participants were 201 Korean adults who underwent carotid ultrasonography at the Health Promotion Center of the Eulji General Hospital. We obtained information about medical history and lifestyle, and conducted laboratory tests. Carotid IMT by B-mode ultrasonography was measured. Carotid injury was considered present when the maximum carotid IMT was ≥0.9 mm or when arteriosclerotic plaques were detected. The 10-year ASCVD risk score was calculated using the 2013 American College of Cardiology/American Heart Association guidelines.

Results

Men had higher 10-year ASCVD risk score than did women (mean±standard deviation: 7.15±6.04 vs. 2.53±3.67, respectively; P<0.001). Ten-year ASCVD risk was significantly correlated with right maximum carotid IMT (r=0.307), left maximum carotid IMT (r=0.230), right mean carotid IMT (r=0.322), and left mean carotid IMT (r=0.264). The group with high 10-year ASCVD risk were at even higher risk of carotid injury than were the group with low 10-year ASCVD risk (odds ratio, 2.201; 95% confidence interval, 1.162-4.1706; P=0.019). Only 10-year ASCVD risk score was significantly associated with carotid injury (odds ratio, 4.104; 95% confidence interval, 1.570-10.729). Variables that were not included in the 10-year ASCVD risk score were not significantly associated with carotid injury.

Conclusion

The findings of this study suggest that 10-year ASCVD risk score is associated with carotid injury.

Citations

Citations to this article as recorded by  
  • Explainable SHAP-XGBoost models for identifying important social factors associated with the atherosclerotic cardiovascular disease risk score using the LASSO feature selection technique
    Jungtae Choi, Jooeun Jeon, Hyoeun An, Hyeon Chang Kim
    Epidemiology and Health.2025; 47: e2025052.     CrossRef
  • Structural and functional features of the main arteries of the brain and tumor necrosis factor-alpha in people with chronic non-infectious diseases
    I.T. Murkamilov, K.A. Aitbaev, V.V. Fomin, J.I. Solizhonov, I.U. Abdurakhmanov, F.A. Yusupov, T.F. Yusupova, Z.F. Yusupova, Sh.Sh. Hakimov
    S.S. Korsakov Journal of Neurology and Psychiatry.2024; 124(11): 178.     CrossRef
  • Early markers of atherosclerosis: predictors of cardiovascular events
    K.K. Badeinikova, M.N. Mamedov
    Russian Journal of Preventive Medicine.2023; 26(1): 103.     CrossRef
  • Shear wave elastography in evaluation of carotid elasticity in the type 2 diabetes mellitus patients with nonalcoholic fatty liver disease
    Mengmeng Zhang, Lian Tang, Xiuxiu Cui, Tingting Yu, Zhen Li, Xiya Li, Guangsen Li
    International Journal of Diabetes in Developing Countries.2023; 43(2): 191.     CrossRef
  • Arterial Stiffness as a Predictor of the Index of Atherosclerotic Cardiovascular Disease in Hypertensive Patients
    Guili Chang, Yueliang Hu, Qian Ge, Shaoli Chu, Alberto Avolio, Junli Zuo
    International Journal of Environmental Research and Public Health.2023; 20(4): 2832.     CrossRef
  • Improving residual risk stratification of cardiovascular events using carotid ultrasonography
    Erlinda The
    European Journal of Preventive Cardiology.2022; 29(13): 1770.     CrossRef
  • Cardio-ankle vascular index represents the best surrogate for 10-year ASCVD risk estimation in patients with primary hypertension
    Mustafa Tarik Agac, Süret Ağaç, Muhammed Necati Murat Aksoy, Mehmet Bülent Vatan
    Clinical and Experimental Hypertension.2021; 43(4): 349.     CrossRef
  • Estrogen Protects Vasomotor Functions in Rats During Catecholamine Stress
    Lin Zhang, Chenfei Li, Liting Yang, Gabriel Komla Adzika, Jeremiah Ong'achwa Machuki, Mingjin Shi, Qi Sun, Hong Sun
    Frontiers in Cardiovascular Medicine.2021;[Epub]     CrossRef
  • Combination of Endoglin and ASCVD Risk Assessment Improves Carotid Subclinical Atherosclerosis Recognition
    Qiaowei Li, Fan Lin, Douli Ke, Qiong Cheng, Yongzhi Gui, Yuyan Zhou, Yicheng Wu, Yinzhou Wang, Pengli Zhu
    Journal of Atherosclerosis and Thrombosis.2020; 27(4): 331.     CrossRef
  • Ranking of stroke and cardiovascular risk factors for an optimal risk calculator design: Logistic regression approach
    Elisa Cuadrado-Godia, Ankush D. Jamthikar, Deep Gupta, Narendra N. Khanna, Tadashi Araki, Md Maniruzzaman, Luca Saba, Andrew Nicolaides, Aditya Sharma, Tomaz Omerzu, Harman S. Suri, Ajay Gupta, Sophie Mavrogeni, Monika Turk, John R. Laird, Athanasios Prot
    Computers in Biology and Medicine.2019; 108: 182.     CrossRef
  • Cardiovascular disease risk prediction by the American College of Cardiology (ACC)/American Heart Association (AHA) Atherosclerotic Cardiovascular Disease (ASCVD) risk score among HIV-infected patients in sub-Saharan Africa
    Mosepele Mosepele, Linda C. Hemphill, Tommy Palai, Isaac Nkele, Kara Bennett, Shahin Lockman, Virginia A. Triant, Giuseppe Vittorio De Socio
    PLOS ONE.2017; 12(2): e0172897.     CrossRef
  • Blood Pressure Trajectories From Childhood to Young Adulthood Associated With Cardiovascular Risk
    Guang Hao, Xiaoling Wang, Frank A. Treiber, Gregory Harshfield, Gaston Kapuku, Shaoyong Su
    Hypertension.2017; 69(3): 435.     CrossRef
  • Growth of Carotid Intima‐Media Thickness in Black and White Young Adults
    Guang Hao, Xiaoling Wang, Frank A. Treiber, Harry Davis, Sharika Leverett, Shaoyong Su, Gaston Kapuku
    Journal of the American Heart Association.2016;[Epub]     CrossRef
  • 7,879 View
  • 36 Download
  • 11 Web of Science
  • 13 Crossref
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