2011, nr. 3 - Academia de Ştiinţe a Moldovei

Ştiinţe Medicalein the European Prospective Investigation into Cancer andNutrition (EPIC) project. In: Public. Health. Nutrition,2002, 5(6B), p. 1287–1296.13. Friedewald W.T., Levy R.I., Friedrickson D.S.Estimation of the concentration of low density lipoproteincholesterol in plasma, without use of the preparative ultracentrifuge.In: Clin. Chem., 1972, 18, p. 499–502.14. LDL Cholesterol Calculator. http://www.mdcalc.com/ldl-calculated.15. Framingham Cardiac Risk Score. http://www.mdcalc.com/framingham-cardiac-risk-score.16. Anderson K.M., Wilson P.W.F., Odell P.M., KannelW.B. An updated coronary risk profi le: A statementfor health professionals. In: Circulation, 1991, 83, p. 356–362.17. Office for National Statistics. Living in Britain:Results from the 1996 General Household Survey. London:The Stationery Office.18. Tunstall-Pedoe H., Woodward M., Tavendale R.,A’Brook R., McCluskey M.K. Comparison of the predictionby 27 different factors of coronary heart disease anddeath in men and women of the Scottish heart health study:cohort study. In: Br. Med. J. 1997, 315, p. 722–729.19. Perissinotto E., et al. Alcohol consumption andcardiovascular risk factors in older lifelong wine drinkers:The Italian Longitudinal Study on Aging. Nutr. Metab.Cardiovasc. Dis. 2010, Nov, 20(9), p. 647-655.20. Rimm E.B., Williams P., Fosher K., Criqui M.,Stampfer M.J. Moderate alcohol intake and lower risk ofcoronary heart disease: meta-analysis of effects on lipidsand haemostatic factors. BMJ 1999, 319, 1523e8.21. Moreira L.B., Fuchs F.D., Moraes R.S., BredemeierM., Duncan B.B. Alcohol intake and blood pressure:the importance of time elapsed since last drink. In: J.Hypertens., 1998, 16, p. 175–180.22. Schaefer E.J., Lamon-Fava S., Ordovas J.M. et al.Factors associated with low and elevated plasma high densitylipoprotein cholesterol and apolipoprotein A-I levelsin the Framingham Offspring Study. In: J. LipidRes. 1994,35, p. 871–882.23. Wakabayashi I. Associations of alcohol drinkingand cigarette smoking with serum lipid levels in healthymiddle-aged men. In: Alcohol Alcohol 2008, 43, 274e80.24. Marques-Vidal P., Cambou J.P., Nicaud V., LucG., Evans A., Arveiler D., et al. Cardiovascular risk factorsand alcohol consumption in France and Northern Ireland.Atherosclerosis, 1995, 115, 225e32.25. Namekata T., Moore D.E., Suzuki K. et al. Biologicaland lifestyle factors, and lipid and lipoprotein levelsamong Japanese Americans in Seattle and Japanese menin Japan. In: Int. J. Epidemiol., 1997, 6, p. 1203–1213.26. Thun M.J., Peto R., Lopez A.D. et al. Alcohol consumptionand mortality among middle-aged and elderly USadults. In: N. Engl. J. Med., 1997, 337, p. 1705–1714.27. Garg R., Wagener D.K., Madans J.H. Alcoholconsumption and risk of ischaemic heart disease in women.In: Arch. Intern. Med., 1993, 153, p. 1211–1216.289RezumatConsumul moderat de alcool este asociat ce reducereariscurilor dezvoltării patologiei coronariene; consumulexagerat însă creşte mortalitatea provocată de ictusul hemoragic.Am examinat relaţia dintre consumul de alcool şi riscurilede dezvoltare a evenimentelor coronariene în următorii10ani la pacienţi cu sindrom metabolic.La 142 de pacienţi cu sindrom metabolic au fost evaluaţifactorii de risc pentru patologia coronariană. Am evaluatindexul masei corporale (IMC), nivelului colesteroluluitotal (CT), lipoproteidelor de densitate înaltă (HDL) şi dedensitate joasă (LDL), raportului CT/HDL şi nivelul glicemiei.Profilul riscului cardiovascular a fost măsurat înfuncţie de consumul de alcool: < 20 ml/zi (nivelul mic),20-50 ml/zi (nivelul moderat) şi > 50 ml/zi (nivelul înalt).Riscurile de dezvoltare a evenimentelor coronariene în următorii10ani au fost calculate în acord cu ecuaţia Framingham.Scorul riscului a fost predefinit ca intermediar (≤20%) şi mare (> 20%).Creşterea consumului de alcool a fost asociată cu diferenţesemnificative statistic privind IMC – 31,89 ±5,36٭‎±6,18‎ vs 29,45 vs ‏,٭‎32,25±5,65‎ CT‏,(٭p‏3,06, ‏(٭p 50 ml/day (heavy drinking). The10-years risk of cardiovascular events was calculatedaccording to Framingham equation. The risk score werecategorized using predefined cutoffs as intermediate (≤20%) and high (> 20%).Increasing consumption was associated withstatistically significant difference in BMI (- 31,89 ±5,36 vs٭‎±1,07‎ (5,14 TC p