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References 1. Fernandez-Berges D, Bertomeu-Gonzalez V, Sanchez PL, Cruz-Fernandez JM, Arroyo R, Barriales Alvarez V, Carrasco Sanchez FJ, Dalli E, Castro Beiras A, Kaski JC. (2011). Clinical scores and patient risk stratification in non-ST elevation acute coronary syndrome. Int J Cardiol. 146: 219-224. 2. De Aralijo Goncalves P, Fereira J, Aguiar C, Seabra-Gomes R. (2005). TIMI, PURSUIT and GRACE risk scores: sustained prognostic value and interaction with revascularisation in NSTE-ACS. Eur Heart J. 26: 865-872. 3. Aragam KG, Tamhane UU, Kline-Rogers E, Li J, Fox

Program. Risk assessment tool for estimating 10-year risk of developing hard CHD (myocardial infarction and coronary death). Topol EJ, Lauer MS. The rudimentary phase of personalised medicine: coronary risk scores. Lancet. 2003; 362 : 1776-7. D'Agostino RB, Grundy SM, Sullivan LM, Wilson P. Validation of the Framingham coronary heart disease prediction scores: results of a multiple ethnic group investigation. JAMA. 2001; 286 : 180-7. Zamaklar M. Konsenzus konferencija o promeni referentnih vrednosti lipida

: 8. Ridker PM, Buring JE, Rifai N, Cook NR. Development and validation of improved algorithms for the assessment of global cardiovascular risk in women: the Reynolds Risk Score. JAMA 297: 611-619, 2007 9. Gaede P, Lund-Andersen H, Parving HH, Pedersen O . Effect of a multifactorial intervention on mortality in type 2 diabetes. N Engl J Med 358: 580-591, 2008 10. Ford ES, Giles WH, Mokdad AH . The distribution of 10-Year risk for coronary heart disease among US adults: findings

disease is the Framingham risk score (FRS). According to the National Institutes of Health, the patients having chronic kidney disease are considered as having a coronary heart disease risk equivalent, meaning that they are primarily patients with a 10-year risk for myocardial infarction or coronary death >20%, despite without known coronary heart disease. [ 8 ] Metabolic acidosis, a common condition and an important manifestation of the late stage of chronic kidney disease, leads to clinically significant consequences, including bone disease disorders, protein energy

, Oliviera SHV, Lima LM. Lipid tetrad index (LTI) and lipid pentad index (LPI) in healthy subjects. Arg Bras Cardiol 2013; 100: 322-7. 15. McMahan CA, Gidding SS, Fayad ZA, Zieske AW, Mal - com GT, Tracy RE, et al. Risk scores predict atherosclerotic lesions in young people. Arch Intern Med 2005; 165: 883-90. 16. Simeunović S, Nedeljković S, Milinčić Z, Vukotić M, Novaković I, Nikolić D, et al. Anthropometric and lipid parameters trends in school children: one decade of YUSAD Study. Srp Arh Celok Lek 2011; 139: 465-9. 17. Berenson GS, Srinivasan SR, Bao W, Newman WR, Tracy

(ESH) and of the European Society of Cardiology (ESC). Eur Heart J 34: 2159-2219, 2013. 17. Mancia G, De Backer G, Dominiczak A et al. 2007 Guidelines for the management of arterial hypertension: The Task Force for the Management of Arterial Hypertension of the European Society of Hypertension (ESH) and of the European Society of Cardiology (ESC). Eur Heart J 28: 1462-1536, 2007. 17562668 18. Den Ruijter HM, Peters SAE, Groenewegen KA et al. Common carotid intima-media thickness does not add to Framingham risk score in individuals with diabetes mellitus : the USE

recommended cutpoints. Clin Chem 1990; 36: 15–9. 15. McMahan CA, Gidding SS, Fayad ZA, Zieske AW, Malcom GT, Tracy RE, et al. Risk scores predict atherosclerotic lesions in young people. Arch Intern Med 2005; 165: 883–90. 16. Pasquali R, Zanotti L, Fanelli F, Mezzullo M, Fazzini A, Morselli Labate AM, et al. Defining Hyperandrogenism in Women With Polycystic Ovary Syndrome: A Challenging Perspective. J Clin End Met 2016; 101: 2013–22. 17. Azziz R, Carmina E, Dewailly D, Diamanti-Kandarakis E, Escobar-Morreale HF, Futterweit W, et al. The Androgen Excess and PCOS Society

References 1. McMahan CA, Gidding SS, Fayad ZA, Zieske AW, Malcom GT, Tracy RE, et al. Risk scores predict atherosclerotic lesions in young people. Arch Intern Med 2005; 165: 883-90. 2. Herouvi D, Karanasios E, Karayianni C, Karavanaki K. Cardiovascular disease in childhood: the role of obesity. Eur J Pediatr 2013; 172(6): 721-32. 3. Kocova M, Sukarova-Angelovska E, Tanaskoska M, Palcevska-Kocevska S, Krstevska M. Metabolic setup and risks in obese children. J Med Biochem 2015; 34: 31-7. 4. Zdravković V, Sajić S, Mitrović J, Stefanović I, Pavićević P, Nikolić D

, De la Fuente J, Gonzalez-Juanatey J, Vazquez-Belles P, Vila M. Comparison of Coronary Risk Estimation Derived Using the Framingham and REGICOR Equations. Rev Esp Cardiol 2005; 58 (8): 910-5. Vekić J, Topić A, Zeljković A, Jelić-Ivanović Z, Spasojević-Kalimanovska V. LDL and HDL subclasses and their relationship with Framingham risk score in middleaged Serbian population. Clin Biochem 2007; (40): 310-6. Jovičić S, Ignjatović S, Majkić-Singh N. Comparison of two different methods for cardiovascular risk assessment: Framingham Risk Score and SCORE System. Journal

REFERENCES 1. SALTZMAN JR., TABAK YP., HYETT BH., SUN X., TRAVIS AC., JOHANNES RS. A simple risk score accurately predicts in-hospital mortality, length of stay, and cost in acute upper GI bleeding. Gastrointest Endosc. 2011; 74(6):1215–24. 2. WADDELL KM., STANLEY AJ. Risk assessment scores for patients with upper gastrointestinal bleeding and their use in clinical practice. Hosp Pract(1995). 2015; 43(5):290–8. 3. TAKATORI Y., KATO M., SUNATA Y., HIRAI Y., KUBOSAWA Y., ABE K., et al. The role of history of gastro-duodenal ulcer in patients with upper