Study of Ankle-Brachial Index Compared to Carotid Intima-Media Thickness as a Non-Invasive Technique to Predict the Severity of Coronary Atherosclerosis
Elsayed, M. (2018). Study of Ankle-Brachial Index Compared to Carotid Intima-Media Thickness as a Non-Invasive Technique to Predict the Severity of Coronary Atherosclerosis. EKB Journal Management System, 22(1), 313-319. doi: 10.21608/smj.2018.41816
Mohamed H Elsayed. "Study of Ankle-Brachial Index Compared to Carotid Intima-Media Thickness as a Non-Invasive Technique to Predict the Severity of Coronary Atherosclerosis". EKB Journal Management System, 22, 1, 2018, 313-319. doi: 10.21608/smj.2018.41816
Elsayed, M. (2018). 'Study of Ankle-Brachial Index Compared to Carotid Intima-Media Thickness as a Non-Invasive Technique to Predict the Severity of Coronary Atherosclerosis', EKB Journal Management System, 22(1), pp. 313-319. doi: 10.21608/smj.2018.41816
Elsayed, M. Study of Ankle-Brachial Index Compared to Carotid Intima-Media Thickness as a Non-Invasive Technique to Predict the Severity of Coronary Atherosclerosis. EKB Journal Management System, 2018; 22(1): 313-319. doi: 10.21608/smj.2018.41816

Study of Ankle-Brachial Index Compared to Carotid Intima-Media Thickness as a Non-Invasive Technique to Predict the Severity of Coronary Atherosclerosis

Sohag Medical Journal
Article 46, Volume 22, Issue 1, January 2018, Page 313-319  XML PDF (85.79 K)
Document Type: Original Article
DOI: 10.21608/smj.2018.41816
View on SCiNiTO View on SCiNiTO
Author
Mohamed H Elsayed
Department of Internal Medicine. faculty of medicine.sohag University.
Supplementary Files
References
  1. Roig CS, de Winther MP, Weber C, et al. Atherosclerotic plaque destabilization mechanism, models, and therapeutic strategies. Circ Res. 2014; 114: 214-26.
  2. Norgren L, Hiatt WR, Dormandy JA, et al. Trans Atlantic Inter-society Consensus for the management of peripheral arterial disease (TASC II). J Vasc Surg. 2007; 45 (Suppl S): S5-67.
  3. Heald CL, Fowkes FG, Murray GD, et al. Risk of mortality and cardiovascular disease associated with the ankle brachial index: Systematic review. Atherosclerosis. 2006; 189: 61-9.
  4. Hirsch AT, Criqui MH, Treat-Jacobson D, et al. Peripheral arterial disease detection, awareness, and treatment in primary care. JAMA. 2001; 286: 1317-24.
  5. Lamina C, Meisinger C, Heid IM, et al. Association of ankle brachial index and plaques in the carotid and femoral arteries with cardiovascular events and total mortality in a population-based study with 13 years of follow up. Eur Heart J. 2006; 27: 2580-7.
  6. Ueki Y, Miura T, Miyashita Y, et al. Predictive value of combining the ankle brachial index and SYNTAX score for the prediction of outcome after percutaneous coronary intervention (from the SHINANO Registry). Am J Cardiol. 2016; 117: 179-85.
  7. Chang  ST,  Chu  CM,  Hsu  JT,  et al.  Role  of  ankle-brachial  pressure  index  as  a  predictor  of coronary  artery  disease  severity  in patients with diabetes mellitus. Canadian Journal of Cardiology, 2009; 25(9): S301-
  8. AK Agarwal, Manjeet Singh, Vivek Arya, et al. Prevalence of peripheral Arterial Disease and its correlation with coronary artery disease.  JAPI, 2010; 60: 45-50.
  9. Lee AJ, Price JF, Russell MJ, et al. Improved prediction of fatal myocardial infarction using the ankle brachial index in addition to conventional risk factors: the Edinburgh Artery Study. Circulation. 2004; 110 (19): 3075 - 3080.
  10. Leng GC, Fowkes FG, Lee AJ, et al. Use of ankle brachial pressure index to predict cardiovascular events and death: a cohort study. BMJ. 1996; 313:1440 -1444.
  11. Papamichael  CM, Lekakis JP, Stamatelopoulos KS, et al. Ankle-brachial index as a predictor of the extent of coronary atherosclerosis and cardiovascular events in patients with coronary artery disease. Am J Cardiol . 2000; 8 6(6):615 - 618.
  12. Criqui MH, McClelland RL, McDermott MM, et al. The ankle-brachial index and incident cardiovascular events in the MESA (Multi-Ethnic Study of Atherosclerosis). J Am CollCardiol. 2010; 56 (18):1506 - 1512.
  13. Kasliwal RR, Bansal M, Gupta H, et al. Association of carotid intima- media thickness with left main coronary artery disease. Indian Heart J. 2007; 59 (1):50 - 55.
  14. Wang D, Yang H, Quinones MJ, et al. A genome-wide scan for carotid artery intima-media thickness: the Mexican - American Coronary Artery Disease Family Study. Stroke. 2005;36 (3): 540 - 545.
  15. Liviakis L, Pogue B, Paramsothy P, et al. Carotid intima-media thickness for the practicing lipidologist. J ClinLipidol. 2010; 4 (1): 24 - 35.
  16. Kablak-Ziembicka A, Tracz W, Przewlocki T, et al. Association of increased carotid intima- media thickness with the extent of coronary artery disease.Heart. 2004; 90(11):1286 – 1290
  17. Heuten H, Goovaerts I, Ennekens G, et al. Carotid artery intima- media thickness is associated with coronary artery disease. ActaCardiol. 2008;63( 3):309 – 313.
  18. Hayashi C, Ogawa O, Kubo S, et al. Ankle brachial pressure index and carotid intima- media thickness as atherosclerosis markers in Japanese diabetics. Diabetes Res ClinPract. 2004; 66 (3): 269-275.
  19. Pignoli P, Tremoli E, Poli A, et al. Intimal plus media l thickness of the arterial wall: a direct measurement with ultrasound imag ing. Circulation. 1986;74:1399 – 1406
  20. Greenland P, Alpert JS, Beller GA, et al; American College of Cardiology Foundation; American Heart Association. 2010 ACCF/AHA guideline for assessment of cardiovascular risk in asymptomatic adults: a report of the American College of Cardiology Foundation/American Heart Association Task Force on Practice Guidelines. J Am Coll Cardio l. 2010; 56:e50 – e103.
  21. Stein JH, Korcarz CE, Hurst RT, et al. Use of carotid ultrasound to identify subclinical vascular dis-ease and evaluate cardiovascular disease risk: A consensus statement from the American Society of Echocardiography Carotid Intima-Media Thickness Task Force: Endorsed by the Society for Vascular Medicine. J Am Soc Echocardiogr 2008; 21:  93 – 111; quiz 189 – 190.
  22. Weintraub W.S., Karlsberg R.P., Tcheng J.E., et al. ACCF/AHA 2011 key data elements and definitions of a base cardiovascular vocabulary for electronic health records: a report of the American College of Cardiology Foundation/American Heart Association Task Force on Clinical Data Standards. J. Am. Coll. Cardiol. 2011; 58(2):202–222.
  23. Criqui MH, Denenberg JO, Langer RD, et al. The epidemiology of peripheral arterial disease: Importance of identifying the population at risk.  Vasc Med 1997; 2: 221 – 226.
  24. McKenna M, Wolfson S, Kuller L. The ratio of ankle and arm arterial pressure as an independent predictor of mortality. Atherosclerosis 1991; 87:  119 – 128.
  25. Criqui MH, Langer RD, Fronek A, et al. Mortality over a period of 10 years in patients with peripheral arterial disease.  N Engl J Med 1992; 326: 381 – 386.
  26. Ikeda N, Kogame N, Iijima R, et al. Carotid artery intima-media thickness and plaque score can predict the SYNTAX score.  Eur Heart J 2012;  33:  113 – 119.
  27. Howard G, Burke GL, Evans GW, et  al. Relations of intimal-medial thickness among sites within the carotid artery as evaluated by B-mode ultrasound: ARIC Investigators: Atherosclerosis Risk in Communities.  Stroke 1994; 25:  1581 – 1587.
  28. Cacoub PP, Abola MT, Baumgartner I, et al. Cardiovascular risk factor control and outcomes in peripheral artery disease patients in the Reduction of Atherothrombosis for Continued Health (REACH) Registry.  Atherosclerosis 2009; 204:  e86 – e92.
  29. Singh M, Lennon RJ, Darbar D, et al.  Effect of peripheral arterial disease in patients undergoing percutaneous coronary intervention with intracoronary stents. Mayo Clin Proc 2004; 79:  1113 – 1118.
  30. Morice MC, Serruys PW, Kappetein AP, et al. Outcomes in patients with de novo left main disease treated with either percutaneous coronary intervention using paclitaxel-eluting stents or coronary artery bypass graft treatment in the Synergy Between Percutaneous Coronary Intervention with TAXUS and Cardiac Surgery (SYNTAX) trial. Circulation 2010; 121: 2645 – 2653.
  31. Valgimigli M, Serruys PW, Tsuchida K, et al. Cyphering the complexity of coronary artery disease using the syntax score to predict clinical outcome in patients with three-vessel lumen obstruction undergoing percutaneous coronary intervention. Am J Cardiol 2007; 99:  1072 – 1081.
Statistics
Article View: 113
PDF Download: 218