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Alin Albai, Mirela Frandeș, Ramona Luminița Sandu, Gabriel Spoială, Flavia Hristodorescu, Bogdan Timar and Romulus Timar

, Fitzgerald AP et al. Estimation of ten-year risk of fatal cardiovascular disease in Europe: the SCORE project. Eur Heart J 24: 987-1003, 2003. 6. D’Agostino RB Sr, Vasan RS, Pencina MJ et al. General cardiovascular risk profile for use in primary care: the Framingham Heart Study. Circulation 117: 743-753, 2008. 7. Centers for Disease Control and Prevention . National diabetes fact sheet: National estimates and general information on diabetes and prediabetes in the United States, 2011. Atlanta, GA: U.S. Department of Health and Human Services, Centers for

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Vaia D. Raikou

coronary heart 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

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Anetta Lasek-Bal, Jan Szymszal and Zofia Kazibutowska

-874. 14. Wolf PA, Abbott RD, Kannel WB. Atrial fibrillation as an independent risk factor for stroke: the Framingham Study.Stroke. 1991; 22: 983-988. 15. Furberg CD, Psaty BM, Manolio T, et al. Prevalence of atrial fibrillation in elderly subjects (the Cardiovascular Health Study). Am J Cardiol. 1994; 74: 236-241. 16. Go AS, Hylek EM, Phillips KA, et al. Prevalence of diagnosed atrial fibrillation in adults: national implications for rhythm management and stroke prevention: the AnTicoagulation and Risk Factors in Atrial Fibrillation

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Manta Andrei, Maștaleru Alexandra, Oancea Andra, Anghel Razvan Constantin, Roca Mihai, Leon-Constantin Maria Magdalena and Mitu Florin

the growing epidemic and its associated pathologies. Obes Rev. 2015;16(1):1-12. 4. Wang H, Sun Y, Yi X, Zhang L. Evaluation of the Framingham risk score and pooled cohort risk equation for prediction of cardiovascular risk in low resource areas: Insights from Asian rural population. Int J Cardiol. 2018;265:237. 5. Fonseca FAH, Izar MCO. Prevalence of Metabolic Syndrome and Framingham Risk Score in Vegetarian and Omnivorous Apparently Healthy Men. Arq Bras Cardiol. 2018;110(5):438-439. 6. Vanavanan S, Srisawasdi P, Rochanawutanon M, Kumproa N

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Oana Albai and Romulus Timar

European Group for the Study of Insulin Resistance: Relationship between Insulin Sensitivity and Risk of Cardiovascular Disease): I. Methodology and objectives. Diabetologia 47: 566-570, 2004. Wannamethee SG, Shaper AG, Lennon L, Morris RW. Metabolic syndrome vs Framingham Risk Score for prediction of coronary heart disease, stroke, and type 2 diabetes mellitus. Arch Intern Med 165: 2644-2650, 2005. DECODE Study Group, European Diabetes Epidemiology Group. Is the current definition for diabetes relevant to

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Volodymyr Pankiv and Ivan Pankiv

body mass index in an urban black community in Mangaung, South Africa. Afr J Prm Health Care Fam Med 8(1): 1210, 2016. 5. Wang S. Epidemiology of vitamin D in health and disease. Nutr Res Rev 22(2): 188-203, 2009 6. Truesdell D, Shin H, Liu PY, Ilich IZ. Vitamin D status and Framingham Risk Score in overweight postmenopausal women. J Womens Health 20(9): 1341- 1348, 2011. 7. Wortsman J, Matsuoka LY, Chen TC et al. Decreased bioavailability of vitamin D in obesity. Am J Clin Nutr 72(3): 690-693, 2000. 8

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Primary prevention strategy for cardiovascular disease in Lithuania

(“A Funding Programme for the Screening and Preventive Management of the High Cardiovascular Risk Individuals” – main results: 2006–2017 years)

Aleksandras Laucevičius, Egidija Rinkūnienė, Ligita Ryliškytė, Vytautas Kasiulevičius, Dalius Jatužis, Žaneta Petrulionienė, Jolita Badarienė, Rokas Navickas, Agnė Jucevičienė, Sandra Kutkienė, Svetlana Solovjova, Viktorija Andrejevaitė, Ingrida Lisauskienė, Jūratė Zupkauskienė, Roma Puronaite, Romualdas Gurevičius and Jurgita Mikolaitytė

, Stijnen T, Bucher HC, Hunink MG, et al. Validity of the Framingham point scores in the elderly: results from the Rotterdam study. Am Heart J 2007;154(1):87–93. [37] Reissigova J, Zvarova J. The Framingham risk function underestimated absolute coronary heart disease risk in Czech men. Methods Inf Med 2007;46(1):43–9. [38] Mottillo S, Filion KB, Genest J, Joseph L, Pilote L, Poirier P, et al. The Metabolic Syndrome and Cardiovascular Risk. A Systematic Review and Meta-Analysis. Am Coll Cardiol 2010;56(14):1113–32. [39] Leal J, Luengo-Fernández R, Gray A

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Jolita Badarienė, Jelena Čelutkienė, Dovilė Petrikonytė, Jūratė Balsytė, Egidija Rinkūnienė, Ligita Ryliškytė, Vilma Dženkevičiūtė, Alma Čypienė, Romualdas Kizlaitis, Roma Puronaitė and Aleksandras Laucevičius

References [1] Gaziano TA, Bitton A, Anand S, Abrahams-Gessel S, Murphy A. Growing epidemic of coronary heart disease in low- and middle-income countries. Curr Probl Cardiol 2010;35:72–115. [2] WHO, The top 10 causes of death. WHO n.d. Available from: http://www.who.int/mediacentre/factsheets/fs310/en/index2.html [accessed March 20, 2015]. [3] Wannamethee SG, Shaper AG, Lennon L, Morris RW. Metabolic syndrome vs Framingham Risk Score for prediction of coronary heart disease, stroke, and type 2 diabetes mellitus. Arch Intern Med 2005

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Cristina Muntean, Adina Mitrea, Maria Mota and Valerica Tudorica

. Johnston S C, Rothwell P M, Nguyen - Huynh M N, Giles M F, Elkins J S, Bernstein A L. Validation and refinement of scores to predict very early stroke risk after transient ischemic attack. Lancet 369: 283-292, 2007. Holzer K, Feurer R, Sadikovic S, Esposito L, Bockelbrink A, Sander D, Hemmer B, Poppert H. Prognostic value of the ABCD2 score beyond short-term follow-up after transient ischemic attack (TIA) - a cohort study. BMC Neurology 10: 50, 2010. Feldmann E, Broderick J P, Kernan W N, Viscoli CM, Brass L M

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Aysegul Kahraman, Hakan Akdam, Alper Alp, Mustafa Ahmet Huyut, Cagdas Akgullu, Tuba Balaban, Fadime Dinleyen, Aynur Topcu, Husniye Gelmez, Nevin Atakan, Harun Akar and Yavuz Yenicerioglu

hemodialysis patients. Am J Kidney Dis 1995; 25: 579-583. 7. Duranay M, Ozdemir O, Guler SC, Ecemis Z. Evaluation of nutritional parameters in hemodialysis patients. Turk Neph Dial Transpl 2004; 13: 16-20. 8. Sezer S, Arat Z, Ozdemir FN. Malnutrition in chronic renal failure. Turk Neph Dial Transpl 2000; 3: 125-129. 9. Sezer S, Ozdemir FN, Arat Z, et al. The Association of interdialytic weight gain with nutritional parameters and mortality risk in hemodialysis patients. Ren Fail 2002; 24: 37-48. 10. Demir M