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Joon-Won Kang  (Kang JW) 2 Articles
Cardiovascular Risk/Epidemiology
Impact of Diabetes Control on Subclinical Atherosclerosis: Analysis from Coronary Computed Tomographic Angiography Registry
Gyung-Min Park, Chang Hoon Lee, Seung-Whan Lee, Sung-Cheol Yun, Young-Hak Kim, Yong-Giun Kim, Ki-Bum Won, Soe Hee Ann, Shin-Jae Kim, Dong Hyun Yang, Joon-Won Kang, Tae-Hwan Lim, Eun Hee Koh, Woo Je Lee, Min-Seon Kim, Joong-Yeol Park, Hong-Kyu Kim, Jaewon Choe, Sang-Gon Lee
Diabetes Metab J. 2020;44(3):470-479.   Published online November 22, 2019
DOI: https://doi.org/10.4093/dmj.2019.0073
  • 9,616 View
  • 82 Download
  • 9 Web of Science
  • 9 Crossref
AbstractAbstract PDFSupplementary MaterialPubReader   
Background

There are limited data on the impact of diabetes control on the risk of subclinical coronary atherosclerosis.

Methods

We analyzed 6,434 consecutive asymptomatic individuals without previous history of coronary artery disease who underwent coronary computed tomographic angiography (CCTA) (mean age, 53.7±7.6 years and 4,694 men [73.0%]). The degree and extent of subclinical coronary atherosclerosis were assessed by CCTA, and ≥50% diameter stenosis was defined as significant. A cardiac event was defined as a composite of all-cause death, myocardial infarction, unstable angina, or coronary revascularization. Study participants were categorized as normal (n=5,319), controlled diabetes (glycosylated hemoglobin [HbA1c] <7%, n=747), or uncontrolled diabetes (HbA1c ≥7%, n=368), respectively.

Results

Compared with normal individuals, there were no statistically significant differences in the risk of for any atherosclerotic plaque (odds ratio [OR], 1.16; 95% confidence interval [CI], 0.98 to 1.38; P=0.086) and significant coronary artery stenosis (OR, 1.08; 95% CI, 0.82 to 1.42; P=0.583) in controlled diabetic individuals. In contrast, uncontrolled diabetic individuals had consistently higher risks of any atherosclerotic plaque (OR, 2.16; 95% CI, 1.70 to 2.75; P<0.001) and significant coronary artery stenosis (OR, 3.34; 95% CI, 2.52 to 4.43; P<0.001) than normal individuals. During a follow-up of median 5.4 years, there was no significant difference in cardiac events between normal and controlled diabetic individuals (P=0.365). However, uncontrolled diabetes was associated with an increased risk of cardiac events compared with normal individuals (P<0.001) and controlled diabetic individuals (P=0.023).

Conclusion

Asymptomatic uncontrolled diabetes was associated with significant subclinical coronary atherosclerosis with subsequent high risk for cardiac events.

Citations

Citations to this article as recorded by  
  • Different associations of atherogenic index of plasma, triglyceride glucose index, and hemoglobin A1C levels with the risk of coronary artery calcification progression according to established diabetes
    Ki-Bum Won, Su-Yeon Choi, Eun Ju Chun, Sung Hak Park, Jidong Sung, Hae Ok Jung, Hyuk-Jae Chang
    Cardiovascular Diabetology.2024;[Epub]     CrossRef
  • Carotid Ultrasound Abnormalities of People Living With HIV in Kunming, China: Multiple Correspondence Analysis Approach to Identify Influencing Factors
    Shuishui Pan, Haiyan Fu, Zhiqiong Ai, Chongxi Li, Jinsong Bai
    International Journal of STD & AIDS.2023; 34(10): 710.     CrossRef
  • Differential Impact of Degree of Hypertension on Subclinical Coronary Atherosclerosis in Asymptomatic Subjects With and Without Diabetes Mellitus
    Hyun Woo Park, Sangyong Jo, Kyung Sun Park, Hyeji Lee, Young-Jee Jeon, Sangwoo Park, Soe Hee Ann, Yong-Giun Kim, Seong Hoon Choi, Woon Jung Kwon, Young-Rak Cho, Jon Suh, Gyung-Min Park
    The American Journal of Cardiology.2023; 203: 343.     CrossRef
  • Exosomal MALAT1 Derived from High Glucose-Treated Macrophages Up-Regulates Resistin Expression via miR-150-5p Downregulation
    Kou-Gi Shyu, Bao-Wei Wang, Wei-Jen Fang, Chun-Ming Pan, Chiu-Mei Lin
    International Journal of Molecular Sciences.2022; 23(3): 1095.     CrossRef
  • Comparison of Framingham risk score and pooled cohort equations for the prediction of coronary atherosclerosis in patients who meet the target LDL-C level of Korean dyslipidemia guideline
    Su Bin Kim, Hae Won Jung
    Medicine.2022; 101(47): e31816.     CrossRef
  • Time to Reach Target Glycosylated Hemoglobin Is Associated with Long-Term Durable Glycemic Control and Risk of Diabetic Complications in Patients with Newly Diagnosed Type 2 Diabetes Mellitus: A 6-Year Observational Study
    Kyoung Jin Kim, Jimi Choi, Jae Hyun Bae, Kyeong Jin Kim, Hye Jin Yoo, Ji A Seo, Nan Hee Kim, Kyung Mook Choi, Sei Hyun Baik, Sin Gon Kim, Nam Hoon Kim
    Diabetes & Metabolism Journal.2021; 45(3): 368.     CrossRef
  • Frequency and Significance of Right Bundle Branch Block and Subclinical Coronary Atherosclerosis in Asymptomatic Individuals
    Hyeji Lee, Young-Jee Jeon, Byung Ju Kang, Tae Young Lee, Eun Ji Park, Sangwoo Park, Soe Hee Ann, Yong-Giun Kim, Yongjik Lee, Seong Hoon Choi, Gyung-Min Park
    The American Journal of Cardiology.2021; 158: 30.     CrossRef
  • The association between glucose-related variables and plaque morphology in patients with ST-segment elevated myocardial infarction
    Jinxin Liu, Shanjie Wang, Can Cui, Hengxuan Cai, Rong Sun, Weili Pan, Shaohong Fang, Bo Yu
    Cardiovascular Diabetology.2020;[Epub]     CrossRef
  • Choosing Antithrombotic Therapy in Patients with Coronary Heart Disease and Type 2 Diabetes Mellitus: How to Reduce the Risk of Death
    N. A. Koziolova, P. G. Karavaev, A. S. Veklich
    Kardiologiia.2020; 60(4): 109.     CrossRef
Complications
Serum Total Bilirubin Levels Provide Additive Risk Information over the Framingham Risk Score for Identifying Asymptomatic Diabetic Patients at Higher Risk for Coronary Artery Stenosis
Jaechan Leem, Eun Hee Koh, Jung Eun Jang, Chang-Yun Woo, Jin Sun Oh, Min Jung Lee, Joon-Won Kang, Tae-Hwan Lim, Chang Hee Jung, Woo Je Lee, Joong-Yeol Park, Ki-Up Lee
Diabetes Metab J. 2015;39(5):414-423.   Published online October 22, 2015
DOI: https://doi.org/10.4093/dmj.2015.39.5.414
  • 5,086 View
  • 45 Download
  • 9 Web of Science
  • 9 Crossref
AbstractAbstract PDFPubReader   
Background

The diagnosis of coronary artery disease (CAD) is often delayed in patients with type 2 diabetes. Serum total bilirubin levels are inversely associated with CAD. However, no studies have examined whether this can be used as a biochemical marker for identifying asymptomatic diabetic patients at higher risk for having obstructive CAD.

Methods

We performed a cross-sectional study of 460 consecutive asymptomatic patients with type 2 diabetes. All patients underwent coronary computed tomographic angiography, and their serum total bilirubin levels were measured. Obstructive CAD was defined as ≥50% diameter stenosis in at least one coronary artery.

Results

Serum total bilirubin tertiles showed an inverse association with the prevalence of obstructive CAD. In multivariate logistic regression analysis, the odds ratio for the highest versus the lowest tertile of total bilirubin was 0.227 (95% confidence interval [CI], 0.130 to 0.398), and an increment of 1 µmol/L in serum total bilirubin level was associated with a 14.6% decrease in obstructive CAD after adjustment for confounding variables. Receiver operating characteristic curve analysis showed that the area under the curve for the Framingham Risk Score (FRS) plus serum total bilirubin level was 0.712 (95% CI, 0.668 to 0.753), which is significantly greater than that of the FRS alone (P=0.0028).

Conclusion

Serum total bilirubin level is inversely associated with obstructive CAD and provides additive risk information over the FRS. Serum total bilirubin may be helpful for identifying asymptomatic patients with type 2 diabetes who are at higher risk for obstructive CAD.

Citations

Citations to this article as recorded by  
  • Association between bilirubin and biomarkers of metabolic health and oxidative stress in the MARK-AGE cohort
    Vanessa Schoissengeier, Lina Maqboul, Daniela Weber, Tilman Grune, Alexander Bürkle, Maria Moreno-Villaneuva, Claudio Franceschi, Miriam Capri, Jürgen Bernhard, Olivier Toussaint, Florence Debacq-Chainiaux, Birgit Weinberger, Efstathios S. Gonos, Ewa Siko
    iScience.2024; 27(7): 110234.     CrossRef
  • Nanoparticle-driven biosensors for diagnosis of viral hepatitis
    Chenggong Zhu, Zhen Xun, Ruijie Fu, Qunfang Huang, Qishui Ou, Yunlei Xianyu, Can Liu
    TrAC Trends in Analytical Chemistry.2024; 180: 117985.     CrossRef
  • DECREASE IN SERUM BILIRUBIN AS AN UNFAVORABLE MARKER OF CARDIOVASCULAR DISORDERS
    L. M. Strilchuk, O. O. Zimba, I. B. Zhakun
    Eastern Ukrainian Medical Journal.2020; 8(3): 268.     CrossRef
  • Contemporary diagnostic algorithm for coronary artery disease: achievements and prospects
    A. S. Akselrod, D. Yu. Shchekochikhin, E. S. Tebenkova, A. V. Zhelankin, D. A. Stonogina, E. A. Syrkina, S. K. Ternovoy
    Kardiologiya i serdechno-sosudistaya khirurgiya.2019; 12(5): 418.     CrossRef
  • Pharmacological actions and therapeutic potentials of bilirubin in islet transplantation for the treatment of diabetes
    Qing Yao, Xue Jiang, Longfa Kou, Adelaide T. Samuriwo, He-Lin Xu, Ying-Zheng Zhao
    Pharmacological Research.2019; 145: 104256.     CrossRef
  • Evaluation of genetic effect of NOS3 and G×E interaction on the variability of serum bilirubin in a Han Chinese population
    Yingshui Yao, Zhengmei Fang, Song Yang, Hailong Zhao, Yanchun Chen, Yuelong Jin, Xianghai Zhao, Lijun Zhu, Yuanrui Tian, Chong Shen
    Nitric Oxide.2017; 70: 25.     CrossRef
  • Supplementation with Phycocyanobilin, Citrulline, Taurine, and Supranutritional Doses of Folic Acid and Biotin—Potential for Preventing or Slowing the Progression of Diabetic Complications
    Mark McCarty
    Healthcare.2017; 5(1): 15.     CrossRef
  • Effect of bilirubin concentration on the risk of diabetic complications: A meta-analysis of epidemiologic studies
    Bo Zhu, Xiaomei Wu, Yifei Bi, Yang Yang
    Scientific Reports.2017;[Epub]     CrossRef
  • Role of Bilirubin in Diabetic Vascular Complications: Can Bilirubin Predict More than Just Liver Disease?
    Jun Sung Moon
    Diabetes & Metabolism Journal.2015; 39(5): 384.     CrossRef

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