Abstract
Background:
We aimed to analyze the association between lipid variables and the extent and severity of coronary artery disease (CAD) in non-diabetic Turkish Cypriots.
Methods:
Overall, 412 patients (mean (SD) age: 58.8 (10.5) yr, 50.1% male) who underwent diagnostic coronary angiography were included in this single-center, cross-sectional study. The Friesinger index (FI) was used to assess the extent and severity of CAD. The lipid variables [total cholesterol, LDL-c, HDL-c, triglyceride (TG) levels and the TG/HDL-C ratio] were categorized into quartiles and evaluated regarding extensive/severe CAD. Potential risk factors in the Turkish Cypriot cohort were evaluated as predictors of CAD in univariate and multivariate logistic regression models. The population of this study are non-diabetic Turkish Cypriots which are administrated North Cyprus.
Results:
The mean (SD) Friesinger index was 6.9 (4.4), and 59.0% of the patients exhibited a Friesinger index category of ≥5. In the univariate analysis, extensive/severe CAD was directly related to total triglycerides (P=0.01) and TG/HDL-c quartiiles (P=0.001) and inversely related to HDL-c quartiles (P=0.001). In the multivariate model, diabetes (OR: 4.9; 95% CI: 1.3 – 19.2; P=0.02), male gender (OR: 3.1; 95% CI: 0.95 – 10.3; P=0.06) and high TG/HDL-c ratio (OR: 2.2; 95% CI: 1.3 – 3.8; P=0.004 in the overall population and OR: 1.9; 95% CI: 1.4 – 2.3; P=0.003 except diabetics) were the significant predictors of CAD.
Conclusion:
We found a significant relationship between the lipid quartiles and the extent and severity of CAD based on the Friesinger index. Male gender, co-morbid diabetes and the TG/HDL-C ratio also played significant roles in predicting CAD risk in non-diabetic Turkish Cypriots.
Keywords: Coronary artery disease, Extension, Non-invasive predictors, TG/HDL-c ratio, Dyslipidemia, Cyprus
Introduction
Because of the significant reduction that has been documented in the progression of atherosclerosis and cardiovascular events through the treatment of dyslipidemia by statins, the non-invasive documentation of atherosclerotic lesions has become an increasingly important target for early treatment and preventive measures (1–3). Techniques such as density gradient ultracentrifugation, non-denaturing gradient gel electrophoresis, and nuclear magnetic resonance spectroscopy are available to measure lipid particles to predict the risk of coronary artery disease (CAD); however, these techniques are labor-intensive, technically demanding, expensive, and slow to produce results (4–6). Thus, although these techniques are precise and accurate, they are not widely used in clinical settings, and developing surrogate markers of lipid particle profiles is of considerable clinical and economic importance (3). The association between the serum levels of total cholesterol and low-density lipoprotein cholesterol (LDL-c) in the development of CAD has been well established, whereas low serum levels of HDL-c have been considered a major risk factor for CHD (7).
Lipid particle subfractions play an important role in the atherogenic process. Small, dense LDL particles are more atherogenic than larger particles. Larger, less dense HDL2 particles are considered protective, whereas the smaller, denser HDL3 particles are considered atherogenic (8, 9). The former particles correlate inversely with serum TG levels and small, dense LDL levels (10).
The TG/HDL-C ratio, which is a relatively novel lipoprotein index indicating the presence of small, dense LDL particles, serves as a potentially significant predictor of CAD (11, 12). Moreover, it was shown to be one of the non-invasive parameters that are most strongly associated with the extent of coronary disease, as assessed by the Friesinger index from conventional coronary angiography (13).
To the best of our knowledge, despite the growing number of patients diagnosed with CAD, no study has reported an association between the lipid parameters, particularly the TG/HDL-C ratio, and extensive CAD in Mediterranean populations, particularly in Cypriots. Therefore, the present study was designed to investigate the association between lipid variables, particularly the TG/HDL-C ratio, and the extent and severity of CAD in Turkish Cypriots with suspected CAD.
Materials and Methods
Study population
A total of 412 consecutive non-diabetic patients with suspected CAD (mean (SD) age: 58.8 (10.5) years, 50.1% male) who admitted to the hospital between January 2009 and January 2012 who underwent diagnostic coronary angiography upon referral to our cardiovascular laboratory were included in this single-center, cross-sectional study. Non-diabetic patients aged 18–70 years were included in the study, whereas we excluded patients with co-morbid chronic diseases, concomitant medications affecting carbohydrate metabolism, pregnant patients and Turkish patients who were born outside Cyprus.
Cyprus is the third largest island in the Mediterranean Sea. There are two major ethnic groups in the island, namely the Turkish Cypriots who speak Turkish and are Muslims and the Greek Cypriots who speak Greek and are mostly Orthodox Christians. In addition, other ethnic groups include Maronites, Armenians and Latins. Study population included non-diabetic Turkish Cypriots living in North Cyprus since 1974.
Written informed consent was obtained from each subject following a detailed explanation of the objectives and protocol of the study, which was conducted in accordance with the ethical principles stated in the “Declaration of Helsinki”; this study was approved by the institutional ethics committee.
Study parameters
The clinical variables included patient demographics (age, gender), traditional risk factors for atherosclerosis (such as hypertension, diabetes, smoking, hyperlipidemia, and positive family history) and the blood biochemistry of the lipid parameters, including total cholesterol, LDL-c, HDL-c, triglycerides and the TG/HDL-c ratio; these variables were categorized into quartiles. The potential risk factors in the Turkish Cypriot cohort were also evaluated as predictors of CAD in the univariate and multivariate logistic regression models.
Coronary angiography and the Friesinger index
Coronary angiography was performed for the patients with suspected CAD, unstable angina pectoris, a positive cardiac stress test, or a history of myocardial infarction. Selective coronary cineangiography was performed through the radial or femoral approach using the Judkins technique and a General Electric angiographic system. Multiple views were recorded for all the patients; the left anterior descending and left circumflex coronary arteries were visualized in at least four views, whereas the right coronary artery was visualized in at least two views. The coronary angiograms were recorded on compact discs in the Digital Imaging and Communications in Medicine format.
Coronary disease severity was assessed by the number of vessels involved (vessel score) and by a severity score. “Target” vessels were those that included target lesions; all other vessels were designated “non-target” vessels. Significant stenosis was determined visually and was defined as a reduction in the lumen diameter by ≥70% in any view compared to the nearest normal segment. The vessel score ranged from 0 to 3, depending on the vessels that were involved. CAD severity was assessed using the Friesinger index (14). The Friesinger index is an overall score that ranges from 0 to 15 and is based on the individual scores of each of the three main coronary arteries from 0 to 5 using the following criteria for categorization: 0, no arteriographic abnormalities; 1, trivial irregularities (lesions with stenosis severity of 1–29%); 2, lesions with stenosis severity of 30–68%; 3, multiple narrowing in the same vessel, with the stenosed segment having either one lesion with a morphology defined as multiple, diffuse, or tubular or two segments having lesions with a stenosis severity of 30–68%; 4, at least one lesion with a stenosis severity of 69–100%, except in the proximal segment in which the severity should be <100%; and 5, the occlusion of the proximal segment of a vessel. Patients with scores higher than the cut-off value of 5 were considered to have severe CAD (3). Lesions in the left main cardiac artery were counted as proximal lesions for both the left descending and circumflex arteries. Coronary lesions were scored by experts blinded to the patient lipid profiles. Angiographic scoring was performed by two observers who were blinded to the results and clinical data.
The traditional risk factors were defined as follow: hypercholesterolemia (TC >200 mg/dL), hypertriglyceridemia (>150 mg/dL), high LDL-C (>130 mg/dL), low HDL-C (<40 mg/dL for males and <50 mg/dL for females), elevated TG/HDL-C ratio (>4), diabetes mellitus (fasting glucose ≥126 mg/dL), casual or 2-h OGTT >200 mg/dL, hypertension (cutoff points, 140/90 mmHg), and being a current smoker. For patients with serum triglyceride levels exceeding 400 mg/dL, a novel method used to estimate LDL-C using an adjustable factor for the TG/VLDL-C ratio provided a more accurate guideline for risk classification than the Friedewald equation (15).
Statistical analysis
The statistical analyses were performed using computer software (SPSS version 13.0, SPSS Inc. Chicago, IL, USA). The statistical analyses involved a univariate analysis using the Chi-square χ2 test and a non-parametric analysis of variance (ANOVA; Kruskal–Wallis test) followed by a multivariate analysis using stepwise forward logistic regression to assess the independent influence of lipid variables on the extent and severity of CAD (dichotomized by a Friesinger index of 5). The data were expressed as the mean (SD), minimum-maximum and percent (%) where appropriate. P<0.05 was considered statistically significant.
Results
The study sample comprised 412 patients (mean (SD) age: 58.8 (10.5) years, 50.1% male). Of the total 412 patients, 44 patients had no coronary lesions, and the remaining 368 patients had CAD that ranged from irregularities to total occlusions. The mean (SD) Friesinger index was 6.9 (4.4), and 59.0% of the patients belonged to a Friesinger index category of ≥5. Hypertension (75.8%), low HDL-C levels (<40 mg/dL, 63.6%) and hypercholesterolemia (62.6%) were the leading comorbidities (Table 1).
Table 1:
Variable | n(%) |
---|---|
Gender | |
Male | 210 (50.1) |
Female | 202 (49.9) |
Age (years) | 58.8 (10.5) |
Mean (SD) | |
Coronary lesions | 368 (89.3) |
Frisenger index | |
Mean (SD) | 6.9 (4.4) |
0 | 88 (21.0) |
1–4 | 81 (20.0) |
5–10 | 142 (34.0) |
11–15 | 101 (25.0) |
Co-morbidities (%) | |
Diabetes | 33.3 |
Hypertension | 75.8 |
Smoking | 62.6 |
Hypercholesterolemia | 62.6 |
Hypertriglyceridemia | 49.2 |
Low HDL-c | 63.6 |
Q1–4: lipid quartiles, HDL-c: high density lipoprotein cholesterol
The mean (SD) serum levels of cholesterol, TG, HDL-C, and LDL-C were 224.9 (48.2) mg/dL, 177.9 (81.7) mg/dL, 37.5 (12.8) mg/dL, and 146.9 (35.0) mg/dL, respectively, and the mean (SD) TG/HDL-C ratio was 5.3 (4.2).
Frequency of CAD severity by lipid quartiles (univariate analysis)
In the univariate analysis, extensive/severe CAD showed a direct relationship with the quartiles of total triglycerides (71% of patients with extensive CAD were in quartile Q4, whereas 52% were in Q1, P=0.01), and TG/HDL-c (72% in Q4 vs. 44% in Q1, P=0.001), and an inverse relationship was noted between extensive/severe CAD and the HDL-c quartiles (73% in Q1 vs. 41% in Q4, P=0.001) (Table 2).
Table 2:
Extensive CAD (%) | P value | ||||
---|---|---|---|---|---|
Q1 | Q2 | Q3 | Q4 | ||
Cholesterol | 71 | 68 | 65 | 75 | 0.43 |
LDL-c | 63 | 55 | 64 | 69 | 0.51 |
HDL-c | 73 | 72 | 43 | 41 | 0.001 |
TG | 52 | 46 | 77 | 71 | 0.01 |
TG/HDL-c | 44 | 54 | 68 | 72 | 0.001 |
LDL-c: low density lipoprotein cholesterol; HDL-c: high density lipoprotein cholesterol; TG: triglycerides; Q1–4: lipid quartiles
Friesenger index: Q1, Q2, Q3, Q4 are lipid quartiles/Q1 : 0/Q2 : 1–4/Q3: 5–10/Q4: 11–15
Logistic regression analysis of risk factors for CAD
In the multivariate model, diabetes (OR, 4.9; 95% CI: 1.3 – 19.2; P=0.02) and male gender (OR, 3.1; 95% CI: 0.95 – 10.3; P=0.06) were significantly associated with a higher risk of CAD; likewise a higher triglyceride to HDL ratio was associated with a higher risk of CAD, both in the overall study population (OR, 2.2; 95% CI: 1.3 – 3.8; P=0.004) and in the non-diabetic patients (OR, 1.9; 95% CI: 1.4 – 2.3; P=0.003) (Table 3).
Table 3:
Multivariate Baseline Predictors* | Odds Ratio (95% CI) | P-value |
---|---|---|
Triglyceride to HDL ratio (total) | 2.2 (1.3, 3.8) | 0.004 |
Diabetes | 4.9 (1.3, 19.2) | 0.02 |
Gender (Male) | 3.1 (0.95, 10.3) | 0.06 |
Triglyceride to HDL ratio (non-diabetics) | 1.9 (1.4, 2.3) | 0.003 |
Other significant factors from the univariate models: hyperlipidemia, total cholesterol, triglyceride, HDL, daily dietary fat (marginal) and age (marginal). Hyperlipidemia, total cholesterol, triglyceride, and HDL were not included in the multivariate model because of co-linearity with the triglyceride to HDL ratio. Other factors were not significant in the multivariate model.
Continuous factor where <25: 1, 25–30: 2, 30–35: 3, 35–40: 4, ≥40: 5
Discussion
Our findings in a cohort of non-diabetic Turkish Cypriots with suspected CAD revealed a diagnosis of CAD in 89.3% of patients and a Friesinger index category of ≥5 in 59.0% of patients. The lipid quartiles showed direct (TG/HDL-c and triglycerides) and inverse (HDL-c) relationships with extensive/severe CAD in the univariate analysis, whereas the presence of co-morbid diabetes, male gender and a high TG/HDL-c ratio (in non-diabetics) were significant predictors of a higher CAD risk in Turkish Cypriots.
Our findings of direct (TG/HDL-c and triglycerides) and inverse (HDL-c) relationships between lipid quartiles and extensive/severe CAD are in agreement with the well-documented correlation between CAD and dyslipidemia-related risk factors, such as high triglyceride and LDL levels but low HDL-C levels (16,17).
The inverse relationship of the HDL-C quartiles with the extent and severity of CAD in Turkish Cypriots supports the data from the Lipid Research Center (18) and the Framingham studies (16) and emphasizes that lower levels of HDL-C are associated with a higher Friesinger index. Therefore, a low HDL-c level is an independent risk factor for CAD (13, 17, 18).
The TG/HDL-C ratio, which is a relatively novel lipoprotein index, has been considered to indicate the presence of small, dense LDL particles; thus, it can serve as a good predictor of CHD and shows promise as an attractive and powerful surrogate index of the atherogenicity of the plasma lipid profile (11–13). Several studies have attempted to determine whether the TG/HDL-C ratio can function as an atherogenic index to be a highly significant independent predictor of myocardial infarction and whether it is even stronger than the TC/HDL-C and LDL-C/HDLC levels (12). Accordingly, the identification of the TG/HDL-C ratio as a powerful independent indicator of extensive CAD in Turkish Cypriots with suspected CAD is consistent with the consideration of a high TG/HDL-C ratio to predict the extent of CAD better than any other lipid parameter, which has been reported in several similar studies conducted in Turkish, Brazilian and Iranian populations and in studies reported by the Asia-Pacific Cohort Studies Collaboration (2, 3, 7, 8, 11). Additionally, Da Luz et al. showed that a TG/HDL-C ratio of >4 is the most powerful independent predictor of CAD development (3). In another study, a TG/HDL-C ratio of ≥3.5 from a multivariate analysis was reported to be associated with an increased CAD burden (OR: 2.87; 95% CI: 1.03–7.96; P = 0.04) (19).
The TG/HDL-C ratio was shown to be one of the non-invasive parameters most strongly associated with the extent of coronary disease, as assessed by the Friesinger index from conventional coronary angiography (13).
Both insulin resistance and central obesity have been suggested as essential factors for the development of metabolic syndrome and are associated with high TG levels and low HDL levels, which are characteristic features of this syndrome (20–22). The TG/HDL-C ratio is a good surrogate marker of insulin resistance in the general population worldwide (23), except in African Americans (24). Moreover, in premenopausal women, a TG/HDL-C ratio of >3 is associated with a moderate risk of developing metabolic syndrome (25). Given the correlation of a low TG/HDL-C ratio primarily with large, non-atherogenic LDL particles and a high TG/HDL-C ratio with a larger population of small, dense, pro-atherogenic LDL particles (26), the measurement of the TG/HDL-C ratio should be considered in the risk assessment of CHD in individuals with a high prevalence of metabolic syndrome.
Given that the male gender and co-morbid diabetes were also associated with an increased risk of CAD in Turkish Cypriots, our findings are in agreement with data from previous studies in Turkey that demonstrated that in Turkish adult males with a high prevalence of metabolic syndrome, low HDL levels and high TG levels were predictive of cardiovascular events (27,28). In the Framingham study, the risk of CAD was reported to be 4.9 times higher in diabetic women and 2.1 times higher in men with diabetes (16). For a recent study, increased TG/HDL ratio has been shown association with increased arterial stiffness in apparently healthy individuals (29).
Notably, because 33% of our study population was composed of diabetic patients who have characteristically higher TG/HDL-C ratios, the identification of the TG/HDL-C ratio was one of the significant predictors of CAD risk in our study population, even after the exclusion of diabetic patients, indicates the direct association between the TG/HDL-C ratio and extensive CAD; thus, this relationship supports the use of the TG/HDL-C ratio as a surrogate marker in the non-invasive documentation of atherosclerotic lesions in non-diabetic patients.
Study limitations
The present study has a number of limitations that should be considered when evaluating the results. First, given the relatively low sample size because of the single-center design, our findings might not be generalizable to the entire Cypriot population. Second, the cross-sectional design made it impossible to establish any cause and effect relationships. Nevertheless, despite these limitations, given the paucity of solid information available on this area and the fact that Cyprus is an island nation and a substantial portion of its population are foreign residents, the inclusion of Cyprus-born patients with Cypriot parents in our cohort represents a valuable contribution to the literature and provides data on the extent and severity of CAD using lipid parameters in the Turkish Cypriot population for the first time.
Conclusion
Our findings revealed a significant relationship between lipid quartiles and the extent and severity of CAD as assessed by the Friesinger index. This study also demonstrated significant roles of male gender, co-morbid diabetes and the TG/HDL-C ratio in predicting CAD risk among Turkish Cypriots for the first time in the literature. Therefore, in patients with suspected CAD, the TG/HDL-C ratio should be used to measure disease severity prior to coronary angiography because it is an easy, noninvasive, and economical method of discerning the extent of coronary atherosclerosis.
Ethical considerations
Ethical issues (Including plagiarism, informed consent, misconduct, data fabrication and/or falsification, double publication and/or submission, redundancy, etc.) have been completely observed by the authors.
Acknowledgements
We gratefully acknowledge Mrs. Muge Tancer, biologist in Kyrenia State hospital, and her staff as well as all volunteers who generously participated in this study. Financial support for this study has been provided by Health Government of Turkish Republic of Northern Cyprus. We are also grateful to Burc Barin for his help for biostathistical analyses. The authors declare that they have no conflicts of interest.
References
- 1. Hanak V, Munoz J, Teague J, Stanley A, Jr, Bittner V. (2004). Accuracy of the triglyceride to high-density lipoprotein cholesterol ratio for prediction of the low-density lipoprotein phenotype B. Am J Cardiol, 94 (2): 219–22. 10.1016/j.amjcard.2004.03.069. [DOI] [PubMed] [Google Scholar]
- 2. Da luz PL, Cesena FH, Favarato D, Cerqueira ES. (2005). Comparison of serum lipid values in patients with coronary artery disease at <50, 50 to 59, 60 to 69, and >70 years of age. Am J Cardiol, 96 ( 12): 1640–3. [DOI] [PubMed] [Google Scholar]
- 3. da Luz PL, Favarato D, Faria-Neto JR, Jr, Lemos P, Chagas AC. (2008). High ratio of triglycerides to HDL-cholesterol predicts extensive coronary disease. Clinics (Sao Paulo), 63 ( 4): 427–32. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 4. Krauss RM, Burke DJ. (1982). Identification of multiple subclasses of plasma low density lipoproteins in normal humans. J Lipid Res, 23 ( 1): 97–104. [PubMed] [Google Scholar]
- 5. Scheffer PG, Bakker SJ, Heine RJ, Teerlink T. (1998). Measurement of LDL particle size in whole plasma and serum by high performance gel-filtration chromatography using a fluorescent lipid probe. Clin Chem, 44 ( 10): 2148–51. [PubMed] [Google Scholar]
- 6. Kuller L, Arnold A, Tracy R, Otvos J, Burke G, Psaty B, Siscovick D, Freedman DS, Kronmal R. (2002). Nuclear magnetic resonance spectroscopy of lipoproteins and risk of coronary heart disease in the Cardiovascular Health Study. Arterioscler Thromb Vasc Biol, 22 ( 7): 1175–80. [DOI] [PubMed] [Google Scholar]
- 7. Hadeagh F, Khalili D, Ghasemi A, Tohidi M, Sheikholeslami F, Azizi F. (2009). Triglyceride/HDL-cholesterol ratio is an independent predictor for coronary heart disease in a population of Iranian men. Nur Metab. Cardiovasc Dis, 19: 401–8. [DOI] [PubMed] [Google Scholar]
- 8. Miller NE. (1987). Associations of high-density lipoprotein subclasses and apolipoproteins with ischemic heart disease and coronary atherosclerosis. Am Heart J, 113 (2 2): 589–97. 10.1016/0002-8703(87)90638-7. [DOI] [PubMed] [Google Scholar]
- 9. Robinson D, Ferns GA, Bevan EA, Stocks J, Williams PT, Galton DJ. (1987). High density lipoprotein subfractions and coronary risk factors in normal men. Arteriosclerosis, 7 (4): 341–6. 10.1161/01.ATV.7.4.341. [DOI] [PubMed] [Google Scholar]
- 10. Williams PT, Krauss RM, Vranizan KM, Stefanick ML, Wood PD, Lindgren FT. (1992). Associations of lipoproteins and apolipoproteins with gradient gel electrophoresis estimates of high density lipoprotein subfractions in men and women. Arterioscler Thromb, 12 (3): 332–40. 10.1161/01.ATV.12.3.332. [DOI] [PubMed] [Google Scholar]
- 11. Barzi F, Patel A, Woodward M, Lawes CM, Ohkubo T, Gu D, Lam TH, Ueshima H, Asia Pacific Cohort Studies Collaboration (2005). A comparison of lipid variables as predictors of cardiovascular disease in the Asia Pacific region. Ann Epidemiol, 15 (5): 405–13. 10.1016/j.annepidem.2005.01.005. [DOI] [PubMed] [Google Scholar]
- 12. Gaziano JM, Hennekens CH, O'Donnell CJ, Breslow JL, Buring JE. (1997). Fasting triglycerides, high-density lipoprotein, and risk of myocardial infarction. Circulation, 96 (8): 2520–5. 10.1161/01.CIR.96.8.2520. [DOI] [PubMed] [Google Scholar]
- 13. Bampi AB, Rochitte CE, Favarato D, Lemos PA, da Luz PL. (2009). Comparison of non-invasive methods for the detection of coronary atherosclerosis. Clinics (Sao Paulo), 64 ( 7): 675–82. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 14. Friesinger GC, Page EE, Ross RS. (1970). Prognostic significance of coronary arteriography. Trans Assoc Am Physicians, 83: 78–92. [PubMed] [Google Scholar]
- 15. Martin SS, Blaha MJ, Elshazly MB, Toth PP, Kwiterovich PO, Blumenthal RS, Jones SR. (2013). Comparison of a novel method vs the Friedewald equation for estimating low-density lipoprotein cholesterol levels from the standard lipid profile. JAMA, 310 (19): 2061–8. 10.1001/jama.2013.280532. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 16. Wilson PW, D'Agostino RB, Levy D, Belanger AM, Silbershatz H, Kannel WB. (1998). Prediction of coronary heart disease using risk factor categories. Circulation, 97 (18): 1837–59. 10.1161/01.CIR.97.18.1837. [DOI] [PubMed] [Google Scholar]
- 17. Berenson GS, Srinivasan SR, Bao W, Newman WP, 3rd, Tracy RE, Wattigney WA. (1998). Association between multiple cardiovascular risk factors and atherosclerosis in children and young adults. The Bogalusa Heart Study. N Engl J Med, 338 (23): 1650–6. 10.1056/NEJM199806043382302. [DOI] [PubMed] [Google Scholar]
- 18. The Lipid Research Clinics Coronary Primary Prevention (1984). The Lipid Research Clinics Coronary Primary Prevention Trial results. I. Reduction in incidence of coronary heart disease. JAMA, 251 ( 3): 351–64. [DOI] [PubMed] [Google Scholar]
- 19. Ostfeld R, Mookherjee D, Spinelli M, Holtzman D, Shoyeb A, Schaefer M, Doddamani S, Spevack D, Du Y. (2006). A triglyceride/high-density lipoprotein ratio > or = 3.5 is associated with an increased burden of coronary artery disease on cardiac catheterization. J Cardiometab Syndr, 1 (1): 13–5. 10.1111/j.0197-3118.2006.05323.x. [DOI] [PubMed] [Google Scholar]
- 20. Expert Panel on Detection, Evaluation, and Treatment of High Blood Cholesterol in Adults (2001). Executive summary of the third report of the National Cholesterol Education Program (NCEP) expert panel on detection, evaluation, and treatment of high blood cholesterol in adults (Adult Treatment Panel III). JAMA, 285 (19): 2486–97. 10.1001/jama.285.19.2486. [DOI] [PubMed] [Google Scholar]
- 21. Grundy SM, Brewer HB, Jr, Cleeman JI, Smith SC, Jr, Lenfant C, American Heart Association, National Heart, Lung, and Blood Institute (2004). Definition of metabolic syndrome: report of the National Heart, Lung, and Blood Institute/American Heart Association conference on scientific issues related to definition. Circulation, 109 (3): 433–8. 10.1161/01.CIR.0000111245.75752.C6. [DOI] [PubMed] [Google Scholar]
- 22. Ford ES. (2004). The metabolic syndrome and mortality from cardiovascular disease and all-causes: findings from the National Health and Nutrition Examination Survey II Mortality Study. Atherosclerosis, 173 (2): 309–14. 10.1016/j.atherosclerosis.2003.12.022. [DOI] [PubMed] [Google Scholar]
- 23. McLaughlin T, Abbasi F, Cheal K, Chu J, Lamendola C, Reaven G. (2003). Use of metabolic markers to identify overweight individuals who are insulin resistant. Ann Intern Med, 139 (10): 802–9. 10.7326/0003-4819-139-10-200311180-00007. [DOI] [PubMed] [Google Scholar]
- 24. Sumner AE, Finley KB, Genovese DJ, Criqui MH, Boston RC. (2005). Fasting triglyceride and the triglyceride-HDL cholesterol ratio are not markers of insulin resistance in African Americans. Arch Intern Med, 165 (12): 1395–400. 10.1001/archinte.165.12.1395. [DOI] [PubMed] [Google Scholar]
- 25. Alhassan S, Kiazand A, Balise RR, King AC, Reaven GM, Gardner CD. (2008). Metabolic syndrome: do clinical criteria identify similar individuals among overweight premenopausal women? Metabolism, 57 (1): 49–56. 10.1016/j.metabol.2007.08.006. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 26. Maruyama C, Imamura K, Teramoto T. (2003). Assessment of LDL particle size by triglyceride/HDL-cholesterol ratio in non-diabetic, healthy subjects without prominent hyperlipidemia. J Atheroscler Thromb, 10 (3): 186–91. 10.5551/jat.10.186. [DOI] [PubMed] [Google Scholar]
- 27. Onat A, Sari I, Yazici M, Can G, Hergenç G, Avci GS. (2006). Plasma triglycerides, an independent predictor of cardiovascular disease in men: a prospective study based on a population with prevalent metabolic syndrome. Int J Cardiol, 108 (1): 89–95. 10.1016/j.ijcard.2005.06.056. [DOI] [PubMed] [Google Scholar]
- 28. Çoban N, Onat A, Kömürcü Bayrak E, Güleç Ç, Can G, Erginel Ünaltuna N. (2014). Gender specific association of ABCA1 gene R219K variant in coronary disease risk through interactions with serum triglyceride elevation in Turkish adults. Anadolu Kardiyol Derg, 14 (1): 18–25. 10.5152/akd.2013.234. [DOI] [PubMed] [Google Scholar]
- 29. Wen JH, Zhong YY, Wen ZG, Kuang CQ, Liao JR, Chen LH, Wang PS, Wu YX, Ouyang CJ, Chen ZJ. (2015). Triglyceride to HDL-C ratio and increased arterial stiffness in apparently healthy individuals. Int J Clin Exp Med, 2015. March 15; 8( 3): 4342– 8. [PMC free article] [PubMed] [Google Scholar]