ANALYSE THE RISK FACTORS OF CORONARY HEART DISEASE IN YOUNG AND MIDDLE – AGED MALE PATIENTS USING MULTIVARIATE STATISTICAL


ANALYSE THE RISK FACTORS OF CORONARY HEART DISEASE IN YOUNG AND MIDDLE – AGED MALE PATIENTS USING MULTIVARIATE STATISTICAL


Junjie Lin, Lele Wang, Xiaodan Fan, Jingyu Wu, Zhou Wang, Chunmei Qi*

Department of Cardiology, Second Affiliated Hospital of Xuzhou Medical University, Xuzhou, Jiangsu, 221000


Objective: To study the correlation between various risk factors and coronary CTA calcification score ( CACS ) in young and middle-aged male patients with coronary heart disease by multiple linear regression, and to predict plaque properties by Mahalanobis distance discrimination method. This study provides evidence for early clinical evaluation of the extent of coronary artery calcification and the property of plaque in patients having suffered coronary heart disease.

Methods: choose 98 male patients under 55 years old with coronary heart disease randomly and collecte relevant medical history data and test results while in hospital.Utilizing the theory of multiple linear regression and Mahalanobis distance discriminant to analyse these dates.

Results: Factors including hypertension classification×years, number of cigarettes smoked(packs / week )×years,and time of diabetes(years) have a positive correlation between CACS respectively. Comparing calcified plaque and vulnerable plaque, mixed plaque and vulnerable plaque,there is a significant differences ( p < 0.01) while hs-CRP and IL-6 are as the indicator. Mahalanobis distance discrimination method has a discrimination accuracy of 91.83 % for the group wrih susceptible factors only.

Conclusion: The model of predicting the extent of coronary artery calcification by multiple linear regression has high reliability. Vulnerable plaques can be distinguished from plaques of other properties efficiently using Mahalanobis distance discrimination method.


Keywords: Multiple linear regression; Mahalanobis distance discrimination; Coronary CTA calcification score; Vulnerable plaques; IL-6

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How to cite this article:
Junjie Lin, Lele Wang, Xiaodan Fan, Jingyu Wu, Zhou Wang, Chunmei Qi.Analyse the risk factors of coronary heart disease in young and middle – aged male patients using multivariate statistical.American Journal of Cardiology Research and Reviews, 2021, 4:14. DOI:10.28933/ajcrar-2021-10-2505


References:
1. Expert Committee of Rational Drug Use of the National Health and Family Planning Commission, China Pharmacists Association.Guidelines for rational drug use of CHD [J].Chinese Frontier Journal of Medicine (Electronic Edition), 2016, (6): 19-108.
2. Hassan A, Jaffe R, Rubinshtein R, et al.Characterization of Coronary Artery Disease in Young Adults and Assessment of Long-term Outcomes.[J].Israel Medical Association Journal.2018 Oct;20(10):613-618.
3. Pandis N.Multiple linear regression analysis.[J].American Journal of Orthodontics and Dentofacial Orthopedics.2016 Apr;149(4):581.
4. Nagai T, Hoshino T, Uchikawa K.Statistical significance testing with mahalanobis distance for thresholds estimated from constant stimuli method.[J].Seeing and Perceiving. 2011; 24(2): 91-124.
5. Baxa J, Ferda J.Coronary CT angiography – current options and future perspectives in the diagnosis of coronary artery disease.[J].Casopis lekaru ceskych.2018 Summer;157(4):181-187.
6. Zhuang FJ, Chen Y, He WB et al.Prevalence of white matter hyperintensities increases with age.[J].Neural regeneration research.2018 Dec;13(12):2141-2146.
7. Lu L, Mackay DF, Pell JP.Secondhand smoke exposure and risk of incident peripheral arterial disease and mortality: a Scotland-wide retrospective cohort study of 4045 non-smokers with cotinine measurement.[J].BMC Public Health. 2018 Mar 19;18(1):348.
8. Tan KCB, Cheung CL, Lee ACH et al.Galectin-3and risk of cardiovascular events and all-cause mortality in type 2 diabetes mellitus.[J].Diabetes-metabolism research and reviews.2018 Oct 30:e3093.
9. Benowitz NL, Fraiman JB.Cardiovascular effects of electronic cigarettes.[J].Nature Reviews. Cardioloy. 2017 Aug;14(8):447-456.
10. Kumar SP1, Sandhya AM2.A study on the glycemic, lipid and blood pressure control among the type 2 diabetes patients of north Kerala, India.[J].Indian Heart J. 2018 Jul – Aug;70(4): 482-485.
11. Tiainen S,, Kiviniemi A, Hautala A et al.Effects of a Two-Year Home-Based Exercise Training Program on Oxidized LDL and HDL Lipids in Coronary Artery Disease Patients with and without Type-2 Diabetes.[J].Antioxidants (Basel). 2018 Oct 16;7(10).
12. Lotta LA, Stewart ID, Sharp SJ et al.Association of Genetically Enhanced Lipoprotein Lipase- Mediated Lipolysis and Low-Density Lipoprotein Cholesterol-Lowering Alleles With Risk of Coronary Disease and Type 2 Diabetes.[J].JAMA Cardiology. 2018 Oct 1;3(10):957-966.
13. Aftab H, Ambreen A, Jamil M,et al.Comparative study of HbA1c and fasting plasma glucose vs the oral glucose tolerance test for diagnosis of diabetes in people with tuberculosis. [J]. Diabetic medicine. 2017 Jun;34(6):800-803.
14. Lepojärvi ES, Huikuri HV, Piira OP et al.Biomarkers as predictors of sudden cardiac death in coronary artery disease patients with preserved left ventricular function (ARTEMIS study). [J]. PLoS One. 2018 Sep 18;13(9):e0203363.
15. Chen H1, Ding S2, Liu X1 et al.Association of Interleukin-6 Genetic Polymorphisms and Environment Factors Interactions with Coronary Artery Disease in a Chinese Han Population. [J].Clin Exp Hypertens. 2018;40(6):514-517.
16. McGraw S, Carlson C, Grant K et al.Feasibility of ultra low-dose coronary Computed tomography angiography.[J].Indian Heart J. 2018 May – Jun;70(3):443-445.
17. Burgstahler C1, Beck T, Kuettner A et al.Non-invasive evaluation of coronary artery bypass grafts using 16-row multi-slice computed tomography with 188 ms temporal resolution.[J]. International journal of Cardiology. 2006 Jan 13;106(2):244-9.
18. Hui Luo, Jianhua Xiong, Xiaoqing Wang, et al.A cognitive diagnostic approach based on the weighted distance [J].Journal of Jiangxi Normal University (Natural Science Edition), 2018, (1): 74-81,88.
19. S.Demissie, D.Levy, E. J. Benjamin et al.Insulin resistance, oxidative stress, hypertension, and leukocyte telomere length in men from the Framingham Heart Study .[J].Aging Cell (2006) 5, pp325–330.
20. Lina Sun,Xinjun Fan.Analysis of risk factors and characteristics of coronary lesions in patients with early coronary heart disease [J].Anhui Medicine, 2018, (4): 692-695.
21. Gordon SM, Chung JH, Playford MP, et al. High density lipoprotein proteome is associated with cardiovascular risk factors and atherosclerosis burden as evaluated by coronary CT angiography.[J].Atherosclerosis. 2018 Sep 25;278:278-285.
22. Kumar A, Thompson EW, Lefieux A, et al.High Coronary Shear Stress in Patients With Coronary Artery Disease Predicts Myocardial Infarction.[J].J Am Coll Cardiol. 2018 Oct 16;72(16):1926-1935.


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