심혈관 질환 예측지수를 이용한 동맥경화성 이상지질혈증 연구
Study on Atherosclerotic Dyslipidemia Using Cardiovascular Risk Prediction Index
1
조회
0
다운로드
0
인용
0
참고문헌
키워드
초록
This study aimed to provide primary assistance in the clinical diagnosis of atherogenic dyslipidemia by using cardiovascular risk indices based on lipid profiles. The study involved 3,536 participants (1,959 males and 1,577 females) who underwent health check-ups at P Hospital in Busan. Methods included using lipid profiles to evaluate cardiovascular risk indices such as Castelli's Risk Index I and II (CRI-I, CRI-II), Atherogenic Index of Plasma (AIP), Atherogenic Coefficient (AC), Non-HDL cholesterol (NHC), and Triglyceride and Glucose Index (TyG). Statistical analyses, including difference analysis, correlation analysis, and ROC analysis, were conducted using the SPSS software. Results indicated significant differences in various factors, including age, gender, triglycerides, total cholesterol, LDL-C, HDL-C, fasting plasma glucose, and cardiovascular risk indices, depending on the presence of dyslipidemia. There were significant correlations between cardiovascular risk indices and dyslipidemia, with CRI-I, CRI-II, and AC showing the highest correlations. ROC analysis determined optimal cut-off values for identifying atherogenic dyslipidemia as follows: CRI-I >3.83, CRI-II >2.43, AIP >0.49, AC >2.83, NHC >162, and TyG >9.02. Cardiovascular risk indices were significantly higher in the dyslipidemia group, demonstrating their usefulness in assessing cardiovascular disease risk. Particularly, CRI-I, CRI-II, and AC indices were considered valuable predictors for diagnosing atherogenic dyslipidemia.
Abstract
This study aimed to provide primary assistance in the clinical diagnosis of atherogenic dyslipidemia by using cardiovascular risk indices based on lipid profiles. The study involved 3,536 participants (1,959 males and 1,577 females) who underwent health check-ups at P Hospital in Busan. Methods included using lipid profiles to evaluate cardiovascular risk indices such as Castelli's Risk Index I and II (CRI-I, CRI-II), Atherogenic Index of Plasma (AIP), Atherogenic Coefficient (AC), Non-HDL cholesterol (NHC), and Triglyceride and Glucose Index (TyG). Statistical analyses, including difference analysis, correlation analysis, and ROC analysis, were conducted using the SPSS software. Results indicated significant differences in various factors, including age, gender, triglycerides, total cholesterol, LDL-C, HDL-C, fasting plasma glucose, and cardiovascular risk indices, depending on the presence of dyslipidemia. There were significant correlations between cardiovascular risk indices and dyslipidemia, with CRI-I, CRI-II, and AC showing the highest correlations. ROC analysis determined optimal cut-off values for identifying atherogenic dyslipidemia as follows: CRI-I >3.83, CRI-II >2.43, AIP >0.49, AC >2.83, NHC >162, and TyG >9.02. Cardiovascular risk indices were significantly higher in the dyslipidemia group, demonstrating their usefulness in assessing cardiovascular disease risk. Particularly, CRI-I, CRI-II, and AC indices were considered valuable predictors for diagnosing atherogenic dyslipidemia.
참고문헌 (21)
- Jin ES, "Dyslipidemia fact sheet in Korea, 2022", J Lipid Atheroscler, 12(3), pp.237~251 (2023)[DOI]
- Rhee EJ, "2018 Guidelines for the management of dyslipidemia", Korean J Intern Med, 34(4), pp.723~771 (2019)[DOI]
- Castelló, "Hyperlipidemia: A risk factor for chronic allograft dysfunction", Kidney International, (80), pp.S73~S77 (2002)[DOI]
- D’Adamo E, "Atherogenic dyslipidemia and cardiovascular risk factors in obese children", International Journal of Endocrinology, 2015(1), pp.912047~ (2015)[DOI]
- Mosca S, "Dyslipidemia diagnosis and treatment : Risk stratification in children and adolescents", Journal of Nutrition and Metabolism, 2022(1), pp.4782344~ (2022)[DOI]
- Musunuru K, "Atherogenic dyslipidemia : Cardiovascular risk and dietary intervention", Lipids, 45, pp.907~914 (2010)[DOI]
- Olamoyegun MA, "Evaluation of dyslipidemia, lipid ratios, and atherogenic index as cardiovascular risk factors among semi-urban dwellers in Nigeria", Ann Afr Med, 15(4), pp.194~199 (2016)[DOI]
- Salcedo-Cifuentes M, "Conventional biomarkers for cardiovascular risks and their correlation with the Castelli Risk Index-Indices and TG", HDL-C, 2020, pp.20(1), 11~22
- Nwagha UI, "Atherogenic index of plasma as useful predictor of cardiovascular risk among postmenopausal women in Enugu, Nigeria", Afr Health Sci, 10(3), pp.248~252 (2010)[DOI]
- Çelik E, "The effect of untraditional lipid parameters in the development of coronary artery disease : Atherogenic index of plasma, atherogenic coefficient and lipoprotein combined index", Journal of the Saudi Heart Association, 33(3), pp.244~250 (2021)[DOI]
- Wu J, "Non-high-density lipoprotein cholesterol vs low-density lipoprotein cholesterol as a risk factor for ischemic stroke : A result from the Kailuan study", Neurol Res, 35(5), pp.505~511 (2013)
- Miller M, "Relative atherogenicity and predictive value of non-high-density lipoprotein cholesterol for coronary heart disease", Am J Cardiol, 101(7), pp.1003~1008 (2008)[DOI]
- Bonora E, "Homeostasis model assessment closely mirrors the glucose clamp technique in the assessment of insulin sensitivity : Studies in subjects with various degrees of glucose tolerance and insulin sensitivity", Diabetes Care, 23(1), pp.57~63 (2000)
- Guerrero-Romero F, "The product of triglycerides and glucose, a simple measure of insulin sensitivity. Comparison with the euglycemic-hyperinsulinemic clamp", Journal of Clinical Endocrinology and Metabolism, 95(7), pp.3347~3351 (2010)
- Kapoor R, "A leap above Friedewald formula for calculation of low-density lipoprotein-cholesterol", J Lab Physicians, 7(1), pp.11~16 (2015)[DOI]
- Alloubani A, "Relationship between hyperlipidemia, cardiovascular disease and stroke: A systematic review", Curr Cardiol Rev, 17(6) (2021)[DOI]
- Mainieri F, "Hyperlipidemia and cardiovascular risk in children and adolescents", Biomedicines, 11(3), pp.809~ (2023)[DOI]
- Niroumand S, "Atherogenic Index of Plasma(AIP) : A marker of cardiovascular disease", Medical Journal of the Islamic Republic of Iran, 29, pp.240~ (2015)[DOI]
- Lu X, "Genetic susceptibility to lipid levels and lipid change over time and risk of incident hyperlipidemia in Chinese populations", Circ Cardiovasc Genet, 9(1), pp.37~44 (2016)[DOI]
- Chen G, "Prevalence of and risk factors for type 2 diabetes mellitus in hyperlipidemia in China", Med Sci Monit, 21, pp.2476~2484 (2015)
- Liu X, "The triglyceride-glucose index, an insulin resistance marker, was non-linear associated with all-cause and cardiovascular mortality in the general population", Front Cardiovasc Med, 7, pp.628109~ (2021)[DOI]