RESEARCH OF PREDICTING CORONARY ARTERY STENOSIS OF FRAMINGHAM SCORE IN PATIENT WITH SUSPECTING CORONARY ARTERY DISEASE AT CAN THO UNIVERSITY

Duy Khue Nguyen 1,, Viet An Tran 1
1 Can Tho University of Medicine and Pharmacy Hospital

Main Article Content

Abstract

Background: Nowadays, the prediction of coronary artery disease has many models that help to stratify cardiovascular events such as the Framingham score. Predicting the extent of coronary artery stenosis suggests the diagnosis and prognosis of coronary artery disease. Objectives: Determine the rate of detail categories and predicted value of Framingham cores in the patients suspecting coronary artery disease. Materials and methods: This is an observational crosssectional study. The patients suspected to have coronary artery disease, and those who underwent coronary angiography at Can Tho university hospital. The significant disease was then defined as 50% or greater narrowing. Results: include 96 patients, the majority of patients were found with the most common risk factors of Framingham score: hypertension (85.41%), dyslipidemia (69.79%). When the Framingham score greater than 17.5, the relative sensitivity was 39.7%, the relative specificity was 95.6 % and the area under the ROC curve was 0.74 (CI 95%: 0.63 – 0.85) with p = 0.001. Conclusion: Framingham scores were found to be effective in predicting the presence of coronary artery disease in the patients suspecting coronary artery disease.

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References

1. Hoàng Văn Quý, Huỳnh Văn Minh (2005), "Nghiên cứu sự tương quan giữa mức độ tổn thương động mạch vành với bảng lượng giá nguy cơ Framingham", Hội nghị Tim mạch Miền trung mở rộng lần thứ III, pp. tr. 83 -92.
2. Nguyễn Xuân Trình, Nguyễn Tuấn Vũ, Phạm Thanh Hải (2004), "Tương quan giữa mức độ vôi hóa mạch vành và nguy cơ bệnh mạch vành được dự báo theo điểm số nguy cơ Framingham, ATP III và PROCAM", Kỷ yếu toàn văn các đề tài khoa học tại Đại hội tim mạch học quốc gia Việt nam lần thứ X, p. tr. 155.
3. D’Agostino RB Sr, Vasan RS et al (2008), "General cardiovascular risk profile for use in primary care: the Fra-mingham Heart Study", Circulation 2008(117).
4. JNC 7 (2003), "The Seventh Report of the Joint National Committee on Prevention, Detection, Evaluation, and Treatment of High Blood Pressure", The Journal of the American Medical Association pp. 12 – 13.
5. Kaulgud Ram S., et al. (2013), "Coronary heart disease Risk Scores and their correlation with Angiographic Severity Scores", International Journal of Biomedical Research(258), p. 63.
6. Menotti A, Puddu PE, Lanti M. (2000), "Comparison of the Framingham risk functionbased coronary chart with risk function from an Italian population study", European Heart Journal. 21.
7. Neuhauser HK, Ellert U, Kurth BM (2005), "A comparison of Framingham and SCOREbased cardiovascular risk estimates in participants of the German National Health Interview and Examination Survey 1998.", European Heart Journal. 12, p. 442.
8. Scheltens T, Verschuren WM, Boshuizen HC, Hoes AW, Zuithoff NP, Bots ML, Grobbee DE (2008), "Estimation of cardiovascular risk: a comparison between the Framingham and the SCORE model in people under 60 years of age", European Heart Journal. 15, p. 562.
9. Stone NJ, Robinson J, and Lichtenstein AH (2013), "2013 ACC/AHA Guideline on the Treatment of Blood Cholesterol to Reduce Atherosclerotic Cardiovascular Risk in Adults: A
Report of the American College of Cardiology/American Heart Association Task Force on Practice Guidelines", J Am Coll Cardiol
10. Wolk MJ, B. S., Doherty JU (2014), "ACCF/AHA/ASE/ASNC/HFSA/HRS/ SCAI/SCCT/SCMR/STS 2013 multimodality appropriate use criteria for the detection and risk assessment of stable ischemic heart disease: a report of the American College of Cardiology Foundation Appropriate Use Criteria Task Force", J Am Coll Cardiol. 63, p. 380.