Non-HDL cholesterol is better than LDL-c at predicting atherosclerotic cardiovascular disease risk factors clustering, even in subjects with near-to-normal triglycerides: A report from a Venezuelan population
Background: Non-high density lipoprotein cholesterol (non-HDL-c) has emerged as an important tool in primary prevention of atherosclerotic cardiovascular disease (ASCVD), especially among those at high risk. The main objective of this study was to evaluate the predictive value of non-HDL-c for the c...
- Autores:
-
Bermúdez, Valmore
Torres, Wheeler
Salazar, Juan
Martínez, María Sofía
Rojas, Edward
Olivar, Luis Carlos
Lameda, Victor
Ortega, Ángel
Ramírez, Paola
Rojas, Milagros
Rastogi, Sheena
D’Addosio, Rosanna
Hoedebecke, Kyle
Graterol, Modesto
Graterol, Resemily
Wilches, Sandra
Cabrera de Bravo, Mayela
Rojas-Quintero, Joselyn
- Tipo de recurso:
- Fecha de publicación:
- 2018
- Institución:
- Universidad Simón Bolívar
- Repositorio:
- Repositorio Digital USB
- Idioma:
- eng
- OAI Identifier:
- oai:bonga.unisimon.edu.co:20.500.12442/2459
- Acceso en línea:
- http://hdl.handle.net/20.500.12442/2459
- Palabra clave:
- non-HDL-c
LDL-c
Cholesterol
ASCVD
Risk factors
Coronary Artery Disease
- Rights
- License
- Licencia de Creative Commons Reconocimiento-NoComercial-CompartirIgual 4.0 Internacional
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dc.title.spa.fl_str_mv |
Non-HDL cholesterol is better than LDL-c at predicting atherosclerotic cardiovascular disease risk factors clustering, even in subjects with near-to-normal triglycerides: A report from a Venezuelan population |
title |
Non-HDL cholesterol is better than LDL-c at predicting atherosclerotic cardiovascular disease risk factors clustering, even in subjects with near-to-normal triglycerides: A report from a Venezuelan population |
spellingShingle |
Non-HDL cholesterol is better than LDL-c at predicting atherosclerotic cardiovascular disease risk factors clustering, even in subjects with near-to-normal triglycerides: A report from a Venezuelan population non-HDL-c LDL-c Cholesterol ASCVD Risk factors Coronary Artery Disease |
title_short |
Non-HDL cholesterol is better than LDL-c at predicting atherosclerotic cardiovascular disease risk factors clustering, even in subjects with near-to-normal triglycerides: A report from a Venezuelan population |
title_full |
Non-HDL cholesterol is better than LDL-c at predicting atherosclerotic cardiovascular disease risk factors clustering, even in subjects with near-to-normal triglycerides: A report from a Venezuelan population |
title_fullStr |
Non-HDL cholesterol is better than LDL-c at predicting atherosclerotic cardiovascular disease risk factors clustering, even in subjects with near-to-normal triglycerides: A report from a Venezuelan population |
title_full_unstemmed |
Non-HDL cholesterol is better than LDL-c at predicting atherosclerotic cardiovascular disease risk factors clustering, even in subjects with near-to-normal triglycerides: A report from a Venezuelan population |
title_sort |
Non-HDL cholesterol is better than LDL-c at predicting atherosclerotic cardiovascular disease risk factors clustering, even in subjects with near-to-normal triglycerides: A report from a Venezuelan population |
dc.creator.fl_str_mv |
Bermúdez, Valmore Torres, Wheeler Salazar, Juan Martínez, María Sofía Rojas, Edward Olivar, Luis Carlos Lameda, Victor Ortega, Ángel Ramírez, Paola Rojas, Milagros Rastogi, Sheena D’Addosio, Rosanna Hoedebecke, Kyle Graterol, Modesto Graterol, Resemily Wilches, Sandra Cabrera de Bravo, Mayela Rojas-Quintero, Joselyn |
dc.contributor.author.none.fl_str_mv |
Bermúdez, Valmore Torres, Wheeler Salazar, Juan Martínez, María Sofía Rojas, Edward Olivar, Luis Carlos Lameda, Victor Ortega, Ángel Ramírez, Paola Rojas, Milagros Rastogi, Sheena D’Addosio, Rosanna Hoedebecke, Kyle Graterol, Modesto Graterol, Resemily Wilches, Sandra Cabrera de Bravo, Mayela Rojas-Quintero, Joselyn |
dc.subject.eng.fl_str_mv |
non-HDL-c LDL-c Cholesterol ASCVD Risk factors Coronary Artery Disease |
topic |
non-HDL-c LDL-c Cholesterol ASCVD Risk factors Coronary Artery Disease |
description |
Background: Non-high density lipoprotein cholesterol (non-HDL-c) has emerged as an important tool in primary prevention of atherosclerotic cardiovascular disease (ASCVD), especially among those at high risk. The main objective of this study was to evaluate the predictive value of non-HDL-c for the coexistence aggregation of multiple ASCVD risk factors and compare this with LDL-c in general subjects with normal or near normal triglycerides from Maracaibo city in Venezuela. Methods: This is a descriptive, cross-sectional study with a randomized multistage sampling. 2026 subjects were selected for this study, all were adults ≥18 years old of both genders and inhabitants of Maracaibo city, Venezuela. A complete history and physical medical assessment was performed. A multivariate logistic regression model was used to determine the odds ratio (CI95%) for the coexistence of multiple risk factors for ASCVD. Results: The median (p25-p75) of non-HDL-c was 143 mg/dL (114-174 mg/dL). 52.1% (n=1056) of the sample were women, with a median of 144 mg/dL (115-174 mg/dL) among women and 143 mg/dL (114-17 4mg/dL) among men; p=0.740. Individuals ≥50 years old, smokers, those with hypertension, obesity, diabetes, high waist circumference and elevated hs-C Reactive Protein, all had higher levels of non-HDL-c. A lower median was observed among those <30 years of age with elevated physical activity levels in their leisure time. Non-HDL-c between 130-159 mg/dL (OR=2.44; CI 95%=1.48-4.02; p<0.001) and ≥160 mg/dL (OR=3.28; CI 95%=1.72-6.23; p<0.001) was associated with greater risk of coexistent multiple risk factors for ASCVD, albeit LDL-c was not significant in the multivariate model. Conclusions: Elevated non-HDL-c was associated with conglomeration of multiple risk factors for ASCVD. This suggests evaluation of non-HDL-c may be of better utility in primary care for early identification of subjects for high risk of ASCVD. Future research might focus on the influence of non-HDL-c in cardiovascular mortality. |
publishDate |
2018 |
dc.date.issued.none.fl_str_mv |
2018-09-20 |
dc.date.accessioned.none.fl_str_mv |
2019-01-21T16:06:44Z |
dc.date.available.none.fl_str_mv |
2019-01-21T16:06:44Z |
dc.type.eng.fl_str_mv |
article |
dc.type.coar.fl_str_mv |
http://purl.org/coar/resource_type/c_6501 |
dc.identifier.issn.none.fl_str_mv |
20461402 |
dc.identifier.uri.none.fl_str_mv |
http://hdl.handle.net/20.500.12442/2459 |
identifier_str_mv |
20461402 |
url |
http://hdl.handle.net/20.500.12442/2459 |
dc.language.iso.eng.fl_str_mv |
eng |
language |
eng |
dc.rights.coar.fl_str_mv |
http://purl.org/coar/access_right/c_abf2 |
dc.rights.license.spa.fl_str_mv |
Licencia de Creative Commons Reconocimiento-NoComercial-CompartirIgual 4.0 Internacional |
rights_invalid_str_mv |
Licencia de Creative Commons Reconocimiento-NoComercial-CompartirIgual 4.0 Internacional http://purl.org/coar/access_right/c_abf2 |
dc.publisher.eng.fl_str_mv |
F1000 Research Ltd. |
dc.source.eng.fl_str_mv |
F1000Research Vol. 7, No. 504 (2018) |
institution |
Universidad Simón Bolívar |
dc.source.uri.eng.fl_str_mv |
https://f1000research.com/articles/7-504/v1 |
bitstream.url.fl_str_mv |
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Licencia de Creative Commons Reconocimiento-NoComercial-CompartirIgual 4.0 Internacionalhttp://purl.org/coar/access_right/c_abf2Bermúdez, Valmore29f9aa18-16a4-4fd3-8ce5-ed94a0b8663a-1Torres, Wheelera82c8c05-2160-44dc-b397-ffc2ac51beca-1Salazar, Juanfbd053e7-5aea-424c-812f-92153ecb9181-1Martínez, María Sofía24132de7-a45a-499c-aa91-9dc68c5cbf09-1Rojas, Edward94d56218-0c78-40f2-a501-74feeca9191c-1Olivar, Luis Carlos212e67d1-e669-4a31-9299-d653994d03a6-1Lameda, Victor4b0ac8eb-5565-4068-b1e5-d0c0f13bd502-1Ortega, Ángelb6a809bb-4d26-4e53-9419-e4eb9fb40a9b-1Ramírez, Paolaf186f789-08a7-460b-bca5-3a56fa7973f2-1Rojas, Milagrosd07a9d4d-cce2-438c-b4a0-fc5ed4af1a67-1Rastogi, Sheenaecf5af4b-eabe-4c75-a065-5951c1665426-1D’Addosio, Rosanna62b96472-4d6d-4539-8322-072dc40d2a43-1Hoedebecke, Kyle865f8e28-cad8-4bd8-87eb-05c796feebc8-1Graterol, Modesto59713475-4607-4bff-90c1-a66ad9f0a173-1Graterol, Resemilye3785e23-5d7f-435f-8629-8d67e40c922f-1Wilches, Sandrac72ddfd6-1991-42a4-b4e7-929c9aecaff0-1Cabrera de Bravo, Mayelad984e281-e460-420f-9c2a-4af12b674973-1Rojas-Quintero, Joselyn1fcd6ac1-186e-465c-a5fd-3c25563275ab-12019-01-21T16:06:44Z2019-01-21T16:06:44Z2018-09-2020461402http://hdl.handle.net/20.500.12442/2459Background: Non-high density lipoprotein cholesterol (non-HDL-c) has emerged as an important tool in primary prevention of atherosclerotic cardiovascular disease (ASCVD), especially among those at high risk. The main objective of this study was to evaluate the predictive value of non-HDL-c for the coexistence aggregation of multiple ASCVD risk factors and compare this with LDL-c in general subjects with normal or near normal triglycerides from Maracaibo city in Venezuela. Methods: This is a descriptive, cross-sectional study with a randomized multistage sampling. 2026 subjects were selected for this study, all were adults ≥18 years old of both genders and inhabitants of Maracaibo city, Venezuela. A complete history and physical medical assessment was performed. A multivariate logistic regression model was used to determine the odds ratio (CI95%) for the coexistence of multiple risk factors for ASCVD. Results: The median (p25-p75) of non-HDL-c was 143 mg/dL (114-174 mg/dL). 52.1% (n=1056) of the sample were women, with a median of 144 mg/dL (115-174 mg/dL) among women and 143 mg/dL (114-17 4mg/dL) among men; p=0.740. Individuals ≥50 years old, smokers, those with hypertension, obesity, diabetes, high waist circumference and elevated hs-C Reactive Protein, all had higher levels of non-HDL-c. A lower median was observed among those <30 years of age with elevated physical activity levels in their leisure time. Non-HDL-c between 130-159 mg/dL (OR=2.44; CI 95%=1.48-4.02; p<0.001) and ≥160 mg/dL (OR=3.28; CI 95%=1.72-6.23; p<0.001) was associated with greater risk of coexistent multiple risk factors for ASCVD, albeit LDL-c was not significant in the multivariate model. Conclusions: Elevated non-HDL-c was associated with conglomeration of multiple risk factors for ASCVD. This suggests evaluation of non-HDL-c may be of better utility in primary care for early identification of subjects for high risk of ASCVD. Future research might focus on the influence of non-HDL-c in cardiovascular mortality.engF1000 Research Ltd.F1000ResearchVol. 7, No. 504 (2018)https://f1000research.com/articles/7-504/v1non-HDL-cLDL-cCholesterolASCVDRisk factorsCoronary Artery DiseaseNon-HDL cholesterol is better than LDL-c at predicting atherosclerotic cardiovascular disease risk factors clustering, even in subjects with near-to-normal triglycerides: A report from a Venezuelan populationarticlehttp://purl.org/coar/resource_type/c_6501Roth GA, Huffman MD, Moran AE, et al.: Global and Regional Patterns in Cardiovascular Mortality From 1990 to 2013. Circulation. 2015; 132(17): 1667–1678.Pasterkamp C, Falk E: Atherosclerotic plaque rupture: an overview. Journal of Clinical and Basic Cardiology. 2000; 3(2): 81–6.Boyle JJ: Macrophage activation in atherosclerosis: pathogenesis and pharmacology of plaque rupture. Curr Vasc Pharmacol. 2005; 3(1): 63–8.Kannel WB, Dawber TR, Thomas HE Jr, et al.: Comparison Of Serum Lipids In The Prediction Of Coronary Heart Disease. Framingham Study Indicates That Cholesterol Level And Blood Pressure Are Major Factors In Coronary Heart Disease; Effect Of Obesity And Cigarette Smoking Also Noted. R I Med J. 1965; 48: 243–50.Scandinavian Simvastatin Survival Study Group: Randomised trial of cholesterol lowering in 4444 patients with coronary heart disease: the Scandinavian Simvastatin Survival Study (4S). Lancet. 1994; 344(8934): 1383–9.Long-Term Intervention with Pravastatin in Ischaemic Disease (LIPID) Study Group: Prevention of cardiovascular events and death with pravastatin in patients with coronary heart disease and a broad range of initial cholesterol levels. N Engl J Med. 1998; 339(19): 1349–57.The Heart Protection Study Collaborative Group: MRC/BHF heart protection study of cholesterol lowering with simvastatin in 20,536 high-risk individuals: a randomized placebo-controlled trial. ACC Curr J Rev. 2002; 11(6): 34–5.Willerson JT: Effect of pravastatin on coronary events after myocardial infarction in patients with average cholesterol levels. Circulation. 1996; 94(12): 3054.Jepsen AM, Langsted A, Varbo A, et al.: Increased Remnant Cholesterol Explains Part of Residual Risk of All-Cause Mortality in 5414 Patients with Ischemic Heart Disease. Clin Chem. 2016; 62(4): 593–604.Sampson UK, Fazio S, Linton MF: Residual cardiovascular risk despite optimal LDL cholesterol reduction with statins: the evidence, etiology, and therapeutic challenges. Curr Atheroscler Rep. 2012; 14(1): 1–10.Fruchart JC, Davignon J, Hermans MP, et al.: Residual macrovascular risk in 2013: what have we learned? Cardiovasc Diabetol. 2014; 13(1): 26.Fukuyama N, Homma K, Wakana N, et al.: Validation of the Friedewald Equation for Evaluation of Plasma LDL-Cholesterol. J Clin Biochem Nutr. 2008; 43(1): 1–5.Bermúdez V, Salazar J, Calvo M, et al.: Importance of high triglycerides levels between novel coronary risk factors. Revista Colombiana de Cardiología. 2017; 24(6): 583–591.The Emerging Risk Factors Collaboration, Di Angelantonio E, Sarwar N, et al.: Major lipids, apolipoproteins, and risk of vascular disease. JAMA. 2009; 302(18): 1993–2000.Ghodsi S, Meysamie A, Abbasi M, et al.: Non-high-density lipoprotein fractions are strongly associated with the presence of metabolic syndrome independent of obesity and diabetes: a population-based study among Iranian adults. J Diabetes Metab Disord. 2017; 16: 25.Moriyama K, Takahashi E: Non-HDL Cholesterol is a More Superior Predictor of Small-Dense LDL Cholesterol than LDL Cholesterol in Japanese Subjects with TG Levels <400 mg/dL. J Atheroscler Thromb. 2016; 23(9): 1126–37.Bermúdez V, Marcano RP, Cano C, et al.: The Maracaibo city metabolic syndrome prevalence study: design and scope. Am J Ther. 2010; 17(3): 288–94.Bermúdez V, Miquilena E, Salazar J, et al.: Smoking Habit in Adult Population from Maracaibo City, Venezuela. Int J Respir Pulm Med. 2016; 3(6): 61.Bermúdez V, Torres Y, Apruzzese V, et al.: Alcohol drinking patterns in the adult population from the Maracaibo municipality, Zulia – Venezuela. Revista Latinoamericana de Hipertensión. 2014; 9(3): 21–8.International Physical Activity Questionnaire (IPAQ) and New Zealand Physical Activity Questionnaire (NZPAQ): A doubly labelled water validation. J Sci Med Sport. 2007; 10(1): 52.Chobanian AV, Bakris GL, Black HR, et al.: The Seventh Report of the Joint National Committee on Prevention, Detection, Evaluation, and Treatment of High Blood Pressure: the JNC 7 report. JAMA. 2003; 289(19): 2560–71.WHO: Obesity: preventing and managing the global epidemic. Report of a WHO Consultation. World Health Organ Tech Rep Ser. 2000; 894: i–xii, 1–253.Health Statistics: NHANES III reference manuals and reports (CDROM).Hyattsvillem, MD: Centers for Disease Control and Prevention. 1996.Bermúdez V, Rojas J, Salazar J, et al.: Sensitivity and Specificity Improvement in Abdominal Obesity Diagnosis Using Cluster Analysis during Waist Circumference Cut-Off Point Selection. J Diabetes Res. 2015; 2015: 1–14, 750265American Diabetes Association: 2. Classification and Diagnosis of Diabetes. Diabetes Care. 2017; 40(Suppl 1): S11–S24.Bermúdez V, Cabrera M, Mendoza L, et al.: High-sensitivity c-Reactive protein epidemiological behavior in adult individuals from Maracaibo, Venezuela. Revista Latinoamericana de Hipertensión. 2013; 8(1): 22–29.Bermúdez V, Rojas J, Martínez MS, et al.: Epidemiologic Behavior and Estimation of an Optimal Cut-Off Point for Homeostasis Model Assessment- 2 Insulin Resistance: A Report from a Venezuelan Population. Int Sch Res Notices. 2014; 2014: 1–10, 616271.Friedewald WT, Levy RI, Fredrickson DS: Estimation of the Concentration of Low-Density Lipoprotein Cholesterol in Plasma, Without Use of the Preparative Ultracentrifuge. Clin Chem. 1972; 18(6): 499–502.Jellinger PS, Handelsman Y, Rosenblit PD, et al.: AMERICAN ASSOCIATION OF CLINICAL ENDOCRINOLOGISTS AND AMERICAN COLLEGE OF ENDOCRINOLOGY GUIDELINES FOR MANAGEMENT OF DYSLIPIDEMIA AND PREVENTION OF CARDIOVASCULAR DISEASE - EXECUTIVE SUMMARYComplete Appendix to Guidelines available at http://journals.aace. com. Endocr Pract. 2017; 23(4): 479–497.Grundy SM, Cleeman JI, Merz CN, et al.: Implications of recent clinical trials for the National Cholesterol Education Program Adult Treatment Panel III guidelines. Circulation. 2004; 110(2): 227–39.Stone NJ, Robinson JG, Lichtenstein AH, et al.: 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. 2014; 63: 2889–934.Harper CR, Jacobson TA: Using apolipoprotein B to manage dyslipidemic patients: time for a change? Mayo Clin Proc. 2010; 85(5): 440–5.Robinson JG, Wang S, Smith BJ, et al.: Meta-analysis of the relationship between non-high-density lipoprotein cholesterol reduction and coronary heart disease risk. J Am Coll Cardiol. 2009; 53(4): 316–22.Helgadottir A, Gretarsdottir S, Thorleifsson G, et al.: Variants with large effects on blood lipids and the role of cholesterol and triglycerides in coronary disease. Nat Genet. 2016; 48(6): 634–9.Bittner V: Non-HDL Cholesterol: Measurement, Interpretation and Significance. John Hopkins Advanced Studies in Medicine. 2007; 7(1): 8–11.Kumar BV, Guntakalla YR, Thomas Z, et al.: Role of Non High Density Lipoprotein Cholesterol (Non HDL-C) in Predicting Coronary Artery Disease. Indian Journal of Pharmacy Practice. 2015; 8(4): 166–170.Arsenault BJ, Rana JS, Stroes ES, et al.: Beyond low-density lipoprotein cholesterol: respective contributions of non-high-density lipoprotein cholesterol levels, triglycerides, and the total cholesterol/high-density lipoprotein cholesterol ratio to coronary heart disease risk in apparently healthy men and women. J Am Coll Cardiol. 2009; 55(1): 35–41.Lu W, Resnick HE, Jablonski KA, et al.: Non-HDL cholesterol as a predictor of cardiovascular disease in type 2 diabetes: the strong heart study. Diabetes Care. 2003; 26(1): 16–23.Writing Committee, Lloyd-Jones DM, Morris PB, et al.: 2016 ACC Expert Consensus Decision Pathway on the Role of Non-Statin Therapies for LDLCholesterol Lowering in the Management of Atherosclerotic Cardiovascular Disease Risk: A Report of the American College of Cardiology Task Force on Clinical Expert Consensus Documents. J Am Coll Cardiol. 2016; 68(1): 92–125.Lin FJ, Tseng WK, Yin WH, et al.: Residual Risk Factors to Predict Major Adverse Cardiovascular Events in Atherosclerotic Cardiovascular Disease Patients with and without Diabetes Mellitus. Sci Rep. 2017; 7(1): 9179.Hwang YC, Ahn HY, Park SW, et al.: Apolipoprotein B and non-HDL cholesterol are more powerful predictors for incident type 2 diabetes than fasting glucose or glycated hemoglobin in subjects with normal glucose tolerance: a 3.3-year retrospective longitudinal study. Acta Diabetol. 2014; 51(6): 941–6.Bermúdez V, Pacheco M, Rojas J, et al.: Epidemiologic behavior of obesity in the Maracaibo City metabolic syndrome prevalence study. PLoS One. 2012; 7(4): e35392.Degoma EM, Davis MD, Dunbar RL, et al.: Discordance between non-HDLcholesterol and LDL-particle measurements: results from the Multi-Ethnic Study of Atherosclerosis. Atherosclerosis. 2013; 229(2): 517–23.Kilgore M, Muntner P, Woolley JM, et al.: Discordance between high non-HDL cholesterol and high LDL-cholesterol among US adults. J Clin Lipidol. 2014; 8(1): 86–93.Rodriguez CJ, Daviglus ML, Swett K, et al.: Dyslipidemia patterns among Hispanics/Latinos of diverse background in the United States. Am J Med. 2014; 127(12): 1186–94.e1.Wang Z, Manichukal A, Goff DC Jr, et al.: Genetic associations with lipoprotein subfraction measures differ by ethnicity in the multi-ethnic study of atherosclerosis (MESA). Hum Genet. 2017; 136(6): 715–726.Bermúdez V, Torres W, Salazar J, et al.: Dataset 1 in: Non-HDL cholesterol is better than LDL-c at predicting atherosclerotic cardiovascular disease risk factors clustering, even in subjects with near-to-normal triglycerides: A report from a Venezuelan population. F1000Research. 2018.Méndez-Castellano H, De Méndez M: Estratificación social y biología humana: método de Graffar modificado. Arch Venez Pueric Pediatr. 1986; 49: 93–104.ORIGINALPDF.pdfPDF.pdfPDFapplication/pdf641178https://bonga.unisimon.edu.co/bitstreams/91f50681-c297-460d-bf42-4d3889a70960/download082be413dda89ccf42884b4aa07156c8MD51LICENSElicense.txtlicense.txttext/plain; charset=utf-8368https://bonga.unisimon.edu.co/bitstreams/38764f84-4eb3-4098-9fea-8b1f256c8954/download3fdc7b41651299350522650338f5754dMD52TEXTNon-HDL cholesterol is better than LDL-c at predicting.pdf.txtNon-HDL cholesterol is better than LDL-c at predicting.pdf.txtExtracted texttext/plain46352https://bonga.unisimon.edu.co/bitstreams/b09a42ef-2a32-49d2-a0f2-f461d8517040/download35b40c54c2294cd737fc1309e9827f46MD53PDF.pdf.txtPDF.pdf.txtExtracted texttext/plain52756https://bonga.unisimon.edu.co/bitstreams/14d66e1b-375d-49c3-96ef-3e65f4ee87d4/download06b1593be42e4021764d42bd537068eeMD55THUMBNAILNon-HDL cholesterol is better than LDL-c at predicting.pdf.jpgNon-HDL cholesterol is better than LDL-c at predicting.pdf.jpgGenerated Thumbnailimage/jpeg1786https://bonga.unisimon.edu.co/bitstreams/a4b0efb9-3d71-477b-be8b-dbd12f0320ff/download5077570ef792e4ccf28022ba76d69d38MD54PDF.pdf.jpgPDF.pdf.jpgGenerated Thumbnailimage/jpeg6312https://bonga.unisimon.edu.co/bitstreams/d6ecdab1-04ee-4d65-8987-7d6a337c3396/downloadae49d4afe0f8cab88577643d6ae4a398MD5620.500.12442/2459oai:bonga.unisimon.edu.co:20.500.12442/24592024-07-26 03:00:52.38open.accesshttps://bonga.unisimon.edu.coRepositorio Digital Universidad Simón Bolívarrepositorio.digital@unisimon.edu.coPGEgcmVsPSJsaWNlbnNlIiBocmVmPSJodHRwOi8vY3JlYXRpdmVjb21tb25zLm9yZy9saWNlbnNlcy9ieS1uYy80LjAvIj48aW1nIGFsdD0iTGljZW5jaWEgQ3JlYXRpdmUgQ29tbW9ucyIgc3R5bGU9ImJvcmRlci13aWR0aDowIiBzcmM9Imh0dHBzOi8vaS5jcmVhdGl2ZWNvbW1vbnMub3JnL2wvYnktbmMvNC4wLzg4eDMxLnBuZyIgLz48L2E+PGJyLz5Fc3RhIG9icmEgZXN0w6EgYmFqbyB1bmEgPGEgcmVsPSJsaWNlbnNlIiBocmVmPSJodHRwOi8vY3JlYXRpdmVjb21tb25zLm9yZy9saWNlbnNlcy9ieS1uYy80LjAvIj5MaWNlbmNpYSBDcmVhdGl2ZSBDb21tb25zIEF0cmlidWNpw7NuLU5vQ29tZXJjaWFsIDQuMCBJbnRlcm5hY2lvbmFsPC9hPi4= |