Background: Traditional risk factors (RFs), such as obesity, family history of premature coronary heart disease (CHD), hypertension, diabetes mellitus, and cigarette smoking have been shown to be significantly associated with early-onset CHD. Familial hypercholesterolemia (FH) is also a major genetic risk factor of premature CHD. Methods: This study was conducted on 100 patients with premature CHD (age<55 years in males and<60 years in females) who were admitted to hospital with acute coronary syndrome or stable coronary artery disease referred for coronary angiography, with a focus on RFs. Results: Male patients constituted 74% of the patients. In all patients, smoking (64%), obesity (64%), abdominal obesity (71%), increased LDL cholesterol (67%), hypertension (54%), positive family history of CHD (43%), and diabetes mellitus (34%) were the most prevalent risk factors. There were 26 patients diagnosed as having definite/probable FH (26%) using DLCNC score. The most common diagnosis was St-elevation myocardial infarction (STEMI) (53%) which was more prevalent in males compared to females [(60.8%) vs (30.8%), (p<0.001)]. Female patients had higher prevalence of hypertension [(73.1%) vs (47.3%), (p=0.023)], diabetes mellitus [(53.8%) vs (27%), (p=0.013)], Obesity [(80.8%) vs (58.1%), (P=0.038)] and definite/probable FH [(46.1%) vs (18.9%), (p=0.024)] as compared to male patients. On the other hand, male patients had higher prevalence of smoking [(85.1%) vs (3.8%), (p<0.001)] and reduced HDL cholesterol levels [(73%) vs (42.3%), (p=0.005)] compared to female patients. Conclusions: Traditional risk factors and FH were significantly related to premature CHD. Significant sex differences were also observed for multiple RFs.
Published in | Cardiology and Cardiovascular Research (Volume 4, Issue 4) |
DOI | 10.11648/j.ccr.20200404.16 |
Page(s) | 203-209 |
Creative Commons |
This is an Open Access article, distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution and reproduction in any medium or format, provided the original work is properly cited. |
Copyright |
Copyright © The Author(s), 2020. Published by Science Publishing Group |
Risk Factors, Premature Coronary Heart Disease, Young, Familial Hypercholesterolemia
[1] | K. Okrainec, D. K. Banerjee, and M. J. Eisenberg, “Coronary artery disease in the developing world,” Am. Heart J., vol. 148, no. 1, pp. 7–15, 2004, doi: 10.1016/j.ahj.2003.11.027. |
[2] | D. N. Vikulova et al., “Premature Atherosclerotic Cardiovascular Disease: Trends in Incidence, Risk Factors, and Sex-Related Differences, 2000 to 2016.,” J. Am. Heart Assoc., vol. 8, no. 14, p. e012178, Jul. 2019, doi: 10.1161/JAHA.119.012178. |
[3] | V. J. Leijdekkers, A. C. Vahl, J. J. M. Leenders, P. C. Huijgens, R. O. B. Gans, and J. A. Rauwerda, “Risk factors for premature atherosclerosis,” Eur. J. Vasc. Endovasc. Surg., vol. 17, no. 5, pp. 394–397, 1999, doi: 10.1053/ejvs.1998.0775. |
[4] | “Prevalence of uncontrolled risk factors for cardiovascular disease: United States, 1999-2010-PubMed.” https://pubmed.ncbi.nlm.nih.gov/23101933/ (accessed Jul. 23, 2020). |
[5] | K. Nasir et al., “Family history of premature coronary heart disease and coronary artery calcification: Multi-Ethnic Study of Atherosclerosis (MESA),” Circulation, vol. 116, no. 6, pp. 619–626, Aug. 2007, doi: 10.1161/CIRCULATIONAHA.107.688739. |
[6] | M. A. Austin, C. M. Hutter, R. L. Zimmern, and S. E. Humphries, “Genetic Causes of Monogenic Heterozygous Familial Hypercholesterolemia: A HuGE Prevalence Review,” Am. J. Epidemiol., vol. 160, no. 5, pp. 407–420, Sep. 2004, doi: 10.1093/aje/kwh236. |
[7] | P. A. James et al., “2014 evidence-based guideline for the management of high blood pressure in adults: report from the panel members appointed to the Eighth Joint National Committee (JNC 8).,” JAMA, vol. 311, no. 5, pp. 507–520, Feb. 2014, doi: 10.1001/jama.2013.284427. |
[8] | A. D. Association, “Diagnosis and classification of diabetes mellitus,” Diabetes Care, vol. 33, no. SUPPL. 1. American Diabetes Association, p. S62, Jan. 2010, doi: 10.2337/dc10-S062. |
[9] | H. B. Brewer, “New features of the national cholesterol education program adult treatment panel III lipid-lowering guidelines,” Clin. Cardiol., vol. 26, no. S3, pp. 19–24, Apr. 2003, doi: 10.1002/clc.4960261505. |
[10] | F. Q. Nuttall, “Body mass index: Obesity, BMI, and health: A critical review,” Nutrition Today, vol. 50, no. 3. Lippincott Williams and Wilkins, pp. 117–128, May 17, 2015, doi: 10.1097/NT.0000000000000092. |
[11] | S. Czernichow, A. P. Kengne, E. Stamatakis, M. Hamer, and G. D. Batty, “Body mass index, waist circumference and waist-hip ratio: Which is the better discriminator of cardiovascular disease mortality risk? Evidence from an individual-participant meta-analysis of 82864 participants from nine cohort studies,” Obes. Rev., vol. 12, no. 9, pp. 680–687, Sep. 2011, doi: 10.1111/j.1467-789X.2011.00879.x. |
[12] | F. Civeira et al., “Guidelines for the diagnosis and management of heterozygous familial hypercholesterolemia,” Atherosclerosis, vol. 173, no. 1, pp. 55–68, 2004, doi: 10.1016/j.atherosclerosis.2003.11.010. |
[13] | R. C. Team, “R: A language and environment for statistical computing,” 2013. |
[14] | G. Egiziano, S. Akhtari, L. Pilote, and S. S. Daskalopoulou, “Sex differences in young patients with acute myocardial infarction,” Diabet. Med., vol. 30, no. 3, Mar. 2013, doi: 10.1111/dme.12084. |
[15] | K. A. Matthews et al., “Are Changes in Cardiovascular Disease Risk Factors in Midlife Women Due to Chronological Aging or to the Menopausal Transition?,” J. Am. Coll. Cardiol., vol. 54, no. 25, pp. 2366–2373, 2009, doi: 10.1016/j.jacc.2009.10.009. |
[16] | A. Reda et al., “The pattern of risk-factor profile in Egyptian patients with acute coronary syndrome: Phase II of the Egyptian cross-sectional CardioRisk project,” Cardiovasc. J. Afr., vol. 30, no. 2, pp. 87–94, 2019, doi: 10.5830/CVJA-2018-074. |
[17] | M. A. Siddique et al., “Age-Related Differences of Risk Profile and Angiographic Findings in Patients with Coronary Heart Disease,” Bangabandhu Sheikh Mujib Med. Univ. J., vol. 3, no. 1, pp. 13–17, Jul. 2010, doi: 10.3329/bsmmuj.v3i1.5508. |
[18] | E. C. Leifheit-Limson et al., “Sex differences in cardiac risk factors, perceived risk, and health care provider discussion of risk and risk modification among young patients with acute myocardial infarction the VIRGO study,” J. Am. Coll. Cardiol., vol. 66, no. 18, pp. 1949–1957, Nov. 2015, doi: 10.1016/j.jacc.2015.08.859. |
[19] | A. Gupta et al., “Trends in acute myocardial infarction in young patients and differences by sex and race, 2001 to 2010,” J. Am. Coll. Cardiol., vol. 64, no. 4, pp. 337–345, Jul. 2014, doi: 10.1016/j.jacc.2014.04.054. |
[20] | E. C. Leifheit-Limson et al., “Prevalence of traditional cardiac risk factors and secondary prevention among patients hospitalized for acute myocardial infarction (AMI): Variation by age, sex, and race,” J. Women’s Heal., vol. 22, no. 8, pp. 659–666, Aug. 2013, doi: 10.1089/jwh.2012.3962. |
[21] | J. G. Canto et al., “Number of coronary heart disease risk factors and mortality in patients with first myocardial infarction,” JAMA-J. Am. Med. Assoc., vol. 306, no. 19, pp. 2120–2127, Nov. 2011, doi: 10.1001/jama.2011.1654. |
[22] | M. Afifi, “Antecedant risk factors and their control in young patients with a first myocardial infarction.,” Singapore Med. J., vol. 47, no. 6, pp. 554–5; author reply 555-6, Jun. 2006, Accessed: Jul. 28, 2020. [Online]. Available: http://www.ncbi.nlm.nih.gov/pubmed/16752030. |
[23] | D. D. McManus et al., “Thirty-year (1975 to 2005) trends in the incidence rates, clinical features, treatment practices, and short-term outcomes of patients<55 years of age hospitalized with an initial acute myocardial infarction,” Am. J. Cardiol., vol. 108, no. 4, pp. 477–482, Aug. 2011, doi: 10.1016/j.amjcard.2011.03.074. |
[24] | F. H. Zimmerman, A. Cameron, L. D. Fisher, and N. Grace, “Myocardial infarction in young adults: Angiographic characterization, risk factors and prognosis (coronary artery surgery study registry),” J. Am. Coll. Cardiol., vol. 26, no. 3, pp. 654–661, 1995, doi: 10.1016/0735-1097(95)00254-2. |
[25] | G. De Backer et al., “Prevalence and management of familial hypercholesterolaemia in coronary patients: An analysis of EUROASPIRE IV, a study of the European Society of Cardiology.,” Atherosclerosis, vol. 241, no. 1, pp. 169–175, Jul. 2015, doi: 10.1016/j.atherosclerosis.2015.04.809. |
[26] | A. Aggarwal, S. Aggarwal, A. Goel, V. Sharma, and S. Dwivedi, “A retrospective case-control study of modifiable risk factors and cutaneous markers in Indian patients with young coronary artery disease,” JRSM Cardiovasc. Dis., vol. 1, no. 3, pp. 1–8, Jun. 2012, doi: 10.1258/cvd.2012.012010. |
[27] | K. K. Teo et al., “Tobacco use and risk of myocardial infarction in 52 countries in the INTERHEART study: a case-control study,” Lancet, vol. 368, no. 9536, pp. 647–658, Aug. 2006, doi: 10.1016/S0140-6736(06)69249-0. |
[28] | S. Mendis, S. Davis, and B. Norrving, “Organizational update: the world health organization global status report on noncommunicable diseases 2014; one more landmark step in the combat against stroke and vascular disease.,” Stroke, vol. 46, no. 5, pp. e121-2, May 2015, doi: 10.1161/STROKEAHA.115.008097. |
[29] | J. M. Marcial and P. I. Altieri, “Obesity and premature coronary artery disease with myocardial infarction in Puerto Rican young adults.,” Bol. Asoc. Med. P. R., vol. 107, no. 3, pp. 70–74, 2015. |
[30] | S. R. Preis et al., “Trends in all-cause and cardiovascular disease mortality among women and men with and without diabetes mellitus in the Framingham Heart Study, 1950 to 2005.,” Circulation, vol. 119, no. 13, pp. 1728–1735, Apr. 2009, doi: 10.1161/CIRCULATIONAHA.108.829176. |
[31] | “Members.” https://idf.org/our-network/regions-members/middle-east-and-north-africa/members/34-egypt.html (accessed Jul. 30, 2020). |
[32] | S. K. Hosseini et al., “Clinical features, management and in-hospital outcome of ST elevation myocardial infarction (STEMI) in young adults under 40 years of age.,” Monaldi Arch. chest Dis.=Arch. Monaldi per le Mal. del torace, vol. 72, no. 2, pp. 71–76, Jun. 2009, doi: 10.4081/monaldi.2009.331. |
[33] | K. O. Akosah, E. Gower, L. Groon, B. L. Rooney, and A. Schaper, “Mild hypercholesterolemia and premature heart disease: do the national criteria underestimate disease risk?,” J. Am. Coll. Cardiol., vol. 35, no. 5, pp. 1178–1184, Apr. 2000, doi: 10.1016/s0735-1097(00)00556-8. |
[34] | S. K. Bansal, S. Agarwal, and M. K. Daga, “Conventional and Advanced Lipid Parameters in Premature Coronary Artery Disease Patients in India,” J. Clin. DIAGNOSTIC Res., vol. 9, no. 11, p. BC07, 2015, Accessed: Jul. 30, 2020. [Online]. Available: www.jcdr.net. |
[35] | K. Mahdy Ali, A. Wonnerth, K. Huber, and J. Wojta, “Cardiovascular disease risk reduction by raising HDL cholesterol--current therapies and future opportunities.,” Br. J. Pharmacol., vol. 167, no. 6, pp. 1177–1194, Nov. 2012, doi: 10.1111/j.1476-5381.2012.02081.x. |
[36] | M. F. Dorsch, R. A. Lawrance, N. P. Durham, and A. S. Hall, “Familial hypercholesterolaemia is underdiagnosed after AMI,” British Medical Journal, vol. 322, no. 7278. BMJ Publishing Group, p. 111, Jan. 13, 2001, doi: 10.1136/bmj.322.7278.111. |
APA Style
Ahmed Ellaien, Ashraf Reda, Ahmed Elkersh. (2020). The Pattern of Risk Factor Profile and Dutch Lipid Clinic Network Criteria of Familial Hypercholesterolemia in Egyptian Patients with Premature Coronary Heart Disease. Cardiology and Cardiovascular Research, 4(4), 203-209. https://doi.org/10.11648/j.ccr.20200404.16
ACS Style
Ahmed Ellaien; Ashraf Reda; Ahmed Elkersh. The Pattern of Risk Factor Profile and Dutch Lipid Clinic Network Criteria of Familial Hypercholesterolemia in Egyptian Patients with Premature Coronary Heart Disease. Cardiol. Cardiovasc. Res. 2020, 4(4), 203-209. doi: 10.11648/j.ccr.20200404.16
AMA Style
Ahmed Ellaien, Ashraf Reda, Ahmed Elkersh. The Pattern of Risk Factor Profile and Dutch Lipid Clinic Network Criteria of Familial Hypercholesterolemia in Egyptian Patients with Premature Coronary Heart Disease. Cardiol Cardiovasc Res. 2020;4(4):203-209. doi: 10.11648/j.ccr.20200404.16
@article{10.11648/j.ccr.20200404.16, author = {Ahmed Ellaien and Ashraf Reda and Ahmed Elkersh}, title = {The Pattern of Risk Factor Profile and Dutch Lipid Clinic Network Criteria of Familial Hypercholesterolemia in Egyptian Patients with Premature Coronary Heart Disease}, journal = {Cardiology and Cardiovascular Research}, volume = {4}, number = {4}, pages = {203-209}, doi = {10.11648/j.ccr.20200404.16}, url = {https://doi.org/10.11648/j.ccr.20200404.16}, eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.ccr.20200404.16}, abstract = {Background: Traditional risk factors (RFs), such as obesity, family history of premature coronary heart disease (CHD), hypertension, diabetes mellitus, and cigarette smoking have been shown to be significantly associated with early-onset CHD. Familial hypercholesterolemia (FH) is also a major genetic risk factor of premature CHD. Methods: This study was conducted on 100 patients with premature CHD (agepp=0.023)], diabetes mellitus [(53.8%) vs (27%), (p=0.013)], Obesity [(80.8%) vs (58.1%), (P=0.038)] and definite/probable FH [(46.1%) vs (18.9%), (p=0.024)] as compared to male patients. On the other hand, male patients had higher prevalence of smoking [(85.1%) vs (3.8%), (pp=0.005)] compared to female patients. Conclusions: Traditional risk factors and FH were significantly related to premature CHD. Significant sex differences were also observed for multiple RFs.}, year = {2020} }
TY - JOUR T1 - The Pattern of Risk Factor Profile and Dutch Lipid Clinic Network Criteria of Familial Hypercholesterolemia in Egyptian Patients with Premature Coronary Heart Disease AU - Ahmed Ellaien AU - Ashraf Reda AU - Ahmed Elkersh Y1 - 2020/10/30 PY - 2020 N1 - https://doi.org/10.11648/j.ccr.20200404.16 DO - 10.11648/j.ccr.20200404.16 T2 - Cardiology and Cardiovascular Research JF - Cardiology and Cardiovascular Research JO - Cardiology and Cardiovascular Research SP - 203 EP - 209 PB - Science Publishing Group SN - 2578-8914 UR - https://doi.org/10.11648/j.ccr.20200404.16 AB - Background: Traditional risk factors (RFs), such as obesity, family history of premature coronary heart disease (CHD), hypertension, diabetes mellitus, and cigarette smoking have been shown to be significantly associated with early-onset CHD. Familial hypercholesterolemia (FH) is also a major genetic risk factor of premature CHD. Methods: This study was conducted on 100 patients with premature CHD (agepp=0.023)], diabetes mellitus [(53.8%) vs (27%), (p=0.013)], Obesity [(80.8%) vs (58.1%), (P=0.038)] and definite/probable FH [(46.1%) vs (18.9%), (p=0.024)] as compared to male patients. On the other hand, male patients had higher prevalence of smoking [(85.1%) vs (3.8%), (pp=0.005)] compared to female patients. Conclusions: Traditional risk factors and FH were significantly related to premature CHD. Significant sex differences were also observed for multiple RFs. VL - 4 IS - 4 ER -