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Exercise Treadmill Test in Detecting Asymptomatic Coronary Artery Disease in Type 2 Diabetes Mellitus
Mee Kyoung Kim, Ki Hyun Baek, Ki Ho Song, Hyuk Sang Kwon, Jung Min Lee, Moo Il Kang, Kun Ho Yoon, Bong Yun Cha, Ho Young Son, Kwang Woo Lee
Diabetes Metab J. 2011;35(1):34-40.   Published online February 28, 2011
DOI: https://doi.org/10.4093/dmj.2011.35.1.34
  • 25,894 View
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  • 16 Crossref
AbstractAbstract PDFPubReader   
Background

The present study was designed to develop criteria for screening patients with type 2 diabetes mellitus (T2DM) for asymptomatic coronary artery disease (CAD).

Methods

A total of 213 patients with T2DM without typical angina or chest pain were studied between 2002 and 2007. We also evaluated 53 patients with T2DM who had reported chest discomfort using an exercise treadmill test (ETT).

Results

Thirty-one of the 213 asymptomatic patients had positive ETT results. We performed coronary angiography on 23 of the 31 patients with a positive ETT and found that 11 of them had significant coronary stenosis. The main differences between the patients with significant stenosis and those with a negative ETT were age (63.1±9.4 vs. 53.7±10.1 years, P=0.008) and duration of diabetes (16.0±7.5 vs. 5.5±5.7 years, P<0.001). The positive predictive value (PPV) of the ETT was calculated to be 47.8%. The PPV of the ETT increased to 87.5% in elderly patients (≥60 years) with a long duration of diabetes (≥10 years). The latter value is similar to that of patients with T2DM who presented with chest discomfort or exertional dyspnea. The PPV of the ETT in symptomatic patients was 76.9%.

Conclusion

In the interest of cost-effectiveness, screening for asymptomatic CAD could be limited to elderly patients with a duration of diabetes ≥10 years.

Citations

Citations to this article as recorded by  
  • Duke Treadmill Score Predicts Coronary Artery Disease Severity in Diabetics and Non-Diabetics
    Muhammad Khalil, Muhammad Shafique Arshad, Asma Zafar Khawaja, Iffat Aqeel, . Hidayatullah, Mahboob Ur Rehman, Sumeet Kumar, Shoaib Ahmed
    Pakistan Journal of Health Sciences.2023; : 126.     CrossRef
  • Prevalence of Coronary Artery Disease in Asymptomatic type 2 Diabetes Mellitus Patients with Invasive Correlation in North India
    V Kumar, B Yadav, A Nachankar
    Indian Journal of Endocrinology and Metabolism.2023; 27(2): 133.     CrossRef
  • Anatomical and Neuromuscular Factors Associated to Non-Contact Anterior Cruciate Ligament Injury
    Marc Dauty, Vincent Crenn, Bastien Louguet, Jérôme Grondin, Pierre Menu, Alban Fouasson-Chailloux
    Journal of Clinical Medicine.2022; 11(5): 1402.     CrossRef
  • Prevalence of Asymptomatic Silent Myocardial Ischemia among Type 2 Diabetes Mellitus Patients in Bangalore - A Hospital-Based Cross-Sectional Study
    Nagappa H Handargal, Shristi J Shetty
    Journal of the Practice of Cardiovascular Sciences.2021; 7(3): 207.     CrossRef
  • Influence of sex on the incidence of potential coronary artery disease and long-term outcomes in asymptomatic patients with diabetes mellitus
    Chisato Sato, Kohei Wakabayashi, Naoko Ikeda, Yuki Honda, Ken Sato, Toshiaki Suzuki, Keita Shibata, Kaoru Tanno
    IJC Heart & Vasculature.2020; 27: 100504.     CrossRef
  • Gauging the Positive Predictive Value of Exercise Tolerance Test Using Angiographic Evaluation: A Cross-Sectional Analysis From a Developing Country
    Ismail Khan, Maria Hasan, Javeria Hasan, Ali Imran Dhillon, Moosa Khan, Mehwish Kaneez
    Cureus.2020;[Epub]     CrossRef
  • EVALUATION OF SILENT MYOCARDIAL ISCHEMIA IN ASYMPTOMATIC TYPE 2 DIABETES MELLITUS PATIENTS BY TREAD MILL TEST IN TERTIARY CARE CENTER IN SOUTH INDIA
    Malepati Sai Sarath Reddy, Uma Mylandlahalli Anandkumar, Srinivasa Rao
    Journal of Evolution of Medical and Dental Sciences.2019; 8(10): 740.     CrossRef
  • Breathlessness and Restrictive Lung Disease: An Important Diabetes-Related Feature in Patients with Type 2 Diabetes
    Stefan Kopf, Jan B. Groener, Zoltan Kender, Thomas Fleming, Maik Brune, Christin Riedinger, Nadine Volk, Esther Herpel, Dominik Pesta, Julia Szendrödi, Mark O. Wielpütz, Hans-Ulrich Kauczor, Hugo A. Katus, Michael Kreuter, Peter P. Nawroth
    Respiration.2018; 96(1): 29.     CrossRef
  • Comparison of the presence of fragmented QRS complexes in the inferior versus the anterior leads for predicting coronary artery disease severity
    Mehmet Eyuboglu, Ugur Kucuk, Omer Senarslan, Bahri Akdeniz
    Revista Portuguesa de Cardiologia.2017; 36(2): 89.     CrossRef
  • Comparison of the presence of fragmented QRS complexes in the inferior versus the anterior leads for predicting coronary artery disease severity
    Mehmet Eyuboglu, Ugur Kucuk, Omer Senarslan, Bahri Akdeniz
    Revista Portuguesa de Cardiologia (English Edition).2017; 36(2): 89.     CrossRef
  • High Serum Ykl-40 Level Positively Correlates With Coronary Artery Disease
    Yan Jin, Jia-Ning Cao, Chun-Xia Wang, Qiu-Ting Feng, Xin-He Ye, Xin Xu, Cheng-Jian Yang
    Biomarkers in Medicine.2017; 11(2): 133.     CrossRef
  • Fragmented QRS Is Associated with Improved Predictive Value of Exercise Treadmill Testing in Patients with Intermediate Pretest Likelihood of Significant Coronary Artery Disease
    Eyyup Tusun, Abdulselam Ilter, Feyzullah Besli, Emre Erkus, Ibrahim Halil Altiparmak, Mehmet Bozbay
    Annals of Noninvasive Electrocardiology.2016; 21(2): 196.     CrossRef
  • Use of imaging and clinical data to screen for cardiovascular disease in asymptomatic diabetics
    Carlos Henrique Reis Esselin Rassi, Timothy W. Churchill, Carlos A. Fernandes Tavares, Mateus Guimaraes Fahel, Fabricia P. O. Rassi, Augusto H. Uchida, Bernardo L. Wajchenberg, Antonio C. Lerario, Edward Hulten, Khurram Nasir, Márcio S. Bittencourt, Carlo
    Cardiovascular Diabetology.2016;[Epub]     CrossRef
  • Obese sedentary patients with dyspnoea on exertion who are at low risk for coronary artery disease by clinical criteria have a very low prevalence of coronary artery disease
    J. T. Bruckel, G. Larsen, M. R. Benson
    Clinical Obesity.2014; 4(3): 143.     CrossRef
  • Potential association between coronary artery disease and the inflammatory biomarker YKL-40 in asymptomatic patients with type 2 diabetes mellitus
    Hyun Min Kim, Byung-Wan Lee, Young-Mi Song, Won Jin Kim, Hyuk-Jae Chang, Dong-Hoon Choi, Hee Tae Yu, EunSeok Kang, Bong Soo Cha, Hyun Chul Lee
    Cardiovascular Diabetology.2012;[Epub]     CrossRef
  • Exercise Treadmill Test for Evaluation of Cardiovascular Disease in Diabetic Patients
    Ju Youn Kim, Mee Kyoung Kim, Woo-Baek Chung
    The Journal of Korean Diabetes.2012; 13(4): 182.     CrossRef
Frequency of Silent Myocardial Ischemia Detected by Thallium-201 SPECT in Patients with Type 2 Diabetes.
Dong Woo Kim, Eun Hee Jung, Eun Hee Koh, Min Seon Kim, Joong Yeol Park, Seung Whan Lee, Seong Wook Park, Jin Sook Ryu, Ki Up Lee
Korean Diabetes J. 2009;33(3):225-231.   Published online June 1, 2009
DOI: https://doi.org/10.4093/kdj.2009.33.3.225
  • 1,953 View
  • 23 Download
AbstractAbstract PDF
BACKGROUND
Silent myocardial ischemia (SMI) is more common in diabetic patients than among the general population. It is not yet established whether a routine screening test for SMI is necessary, and which screening test would be most useful. The purpose of this study was to estimate the prevalence of SMI detected by Thallium-201 perfusion single photon emission computed tomography (SPECT) in type 2 diabetic patients. METHODS: A total of 173 asymptomatic type 2 diabetic patients were included in the study. Thallium-201 perfusion SPECT was performed to screen for SMI. RESULTS: Among the 173 patients, abnormal perfusion patterns were found in 11 patients. Coronary angiography was carried out for these patients, and significant coronary artery stenosis was found in ten of them (positive predictive value; 90.9%). There was a significant association between SMI and overt albuminuria (OR = 7.33, 95% CI, 1.825-29.437). CONCLUSION: Thallium-201 perfusion SPECT is not sensitive enough to identify SMI, but is accurate in detecting decreased myocardial perfusion. This may be a useful screening tool for detecting SMI in type 2 diabetic patients with impaired renal function.

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