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NTIS 바로가기Circulation journal : official journal of the Japanese Circulation Society, v.80 no.7, 2016년, pp.1578 - 1582
Lim, Nam-Kyoo , Lee, Joung-Won , Park, Hyun-Young
Background: This study aimed to validate the Korean Genome Epidemiology Study (KoGES) risk score to predict the 4-year risk of hypertension (HT) in a large nationwide sample, and compare its discrimination and calibration with the Framingham and blood pressure (BP)-only models. Methods and Results: ...
10.1016/S0140-6736(12)61766-8 1. Lim SS, Vos T, Flaxman AD, Danaei G, Shibuya K, Adair-Rohani H, et al. A comparative risk assessment of burden of disease and injury attributable to 67 risk factors and risk factor clusters in 21 regions, 1990–2010: A systematic analysis for the Global Burden of Disease Study 2010. <i>Lancet</i> 2012; 380: 2224–2260.
10.1097/MNH.0b013e328337f921 2. Chen J. Epidemiology of hypertension and chronic kidney disease in China. <i>Curr Opin Nephrol Hypertens</i> 2010; 19: 278–282.
10.1016/S0140-6736(02)11911-8 3. Lewington S, Clarke R, Qizilbash N, Peto R, Collins R, Prospective Studies C. Age-specific relevance of usual blood pressure to vascular mortality: A meta-analysis of individual data for one million adults in 61 prospective studies. <i>Lancet</i> 2002; 360: 1903–1913.
10.1253/circj.CJ-15-0150 4. Kario K, Ogawa H, Okumura K, Okura T, Saito S, Ueno T, et al. SYMPLICITY HTN-Japan: First randomized controlled trial of catheter-based renal denervation in Asian patients. <i>Circ J</i> 2015; 79: 1222–1229.
5. World health Organization. A global brief on hypertension: Silent killer, global public health crisis. Geneva: WHO, 2013.
10.1056/NEJMoa060838 6. Julius S, Nesbitt SD, Egan BM, Weber MA, Michelson EL, Kaciroti N, et al. Feasibility of treating prehypertension with an angiotensin-receptor blocker. <i>N Engl J Med</i> 2006; 354: 1685–1697.
10.1161/01.HYP.35.2.544 7. He J, Whelton PK, Appel LJ, Charleston J, Klag MJ. Long-term effects of weight loss and dietary sodium reduction on incidence of hypertension. <i>Hypertension</i> 2000; 35: 544–549.
10.1001/archinte.1997.00440270105009 8. The Trials of Hypertension Prevention Collaborative Research Group. Effects of weight loss and sodium reduction intervention on blood pressure and hypertension incidence in overweight people with high-normal blood pressure: The Trials of Hypertension Prevention, phase II. <i>Arch Intern Med</i> 1997; 157: 657–667.
10.7326/0003-4819-148-2-200801150-00005 10. Parikh NI, Pencina MJ, Wang TJ, Benjamin EJ, Lanier KJ, Levy D, et al. A risk score for predicting near-term incidence of hypertension: The Framingham Heart Study. <i>Ann Intern Med</i> 2008; 148: 102–110.
10.1161/HYPERTENSIONAHA.109.132373 11. Kivimaki M, Batty GD, Singh-Manoux A, Ferrie JE, Tabak AG, Jokela M, et al. Validating the Framingham Hypertension Risk Score: Results from the Whitehall II study. <i>Hypertension</i> 2009; 54: 496–501.
10.1038/jhh.2010.63 12. Chien KL, Hsu HC, Su TC, Chang WT, Sung FC, Chen MF, et al. Prediction models for the risk of new-onset hypertension in ethnic Chinese in Taiwan. <i>J Hum Hypertens</i> 2011; 25: 294–303.
10.1111/jch.12080 13. Lim NK, Son KH, Lee KS, Park HY, Cho MC. Predicting the risk of incident hypertension in a Korean middle-aged population: Korean genome and epidemiology study. <i>J Clin Hypertens (Greenwich)</i> 2013; 15: 344–349.
10.1038/hr.2014.159 14. Otsuka T, Kachi Y, Takada H, Kato K, Kodani E, Ibuki C, et al. Development of a risk prediction model for incident hypertension in a working-age Japanese male population. <i>Hypertens Res</i> 2015; 38: 419–425.
10.1371/journal.pone.0067370 15. Echouffo-Tcheugui JB, Batty GD, Kivimaki M, Kengne AP. Risk models to predict hypertension: A systematic review. <i>PLoS One</i> 2013; 8: e67370, doi:10.1371/journal.pone.0067370.
10.1001/jama.286.2.180 16. D’Agostino RB Sr, Grundy S, Sullivan LM, Wilson P; CHD Risk Prediction Group. Validation of the Framingham coronary heart disease prediction scores: Results of a multiple ethnic groups investigation. <i>JAMA</i> 2001; 286: 180–187.
10.1016/j.jacc.2007.03.037 17. Weiner DE, Tighiouart H, Elsayed EF, Griffith JL, Salem DN, Levey AS, et al. The Framingham predictive instrument in chronic kidney disease. <i>J Am Coll Cardiol</i> 2007; 50: 217–224.
10.1253/circj.CJ-16-0081 18. Yatsuya H, Iso H, Li Y, Yamagishi K, Kokubo Y, Saito I, et al. Development of a risk equation for the incidence of coronary artery disease and ischemic stroke for middle-aged Japanese: Japan Public Health Center-Based Prospective Study. <i>Circ J</i> 2016; 80: 1386–1395.
10.1093/eurpub/ckv128 19. Khang YH, Bahk J, Yi N, Yun SC. Age- and cause-specific contributions to income difference in life expectancy at birth: Findings from nationally representative data on one million South Koreans. <i>Eur J Public Health</i> 2016; 26: 242–248.
10.2307/2531595 20. DeLong ER, DeLong DM, Clarke-Pearson DL. Comparing the areas under two or more correlated receiver operating characteristic curves: A nonparametric approach. <i>Biometrics</i> 1988; 44: 837–845.
10.1002/(SICI)1097-0258(19970515)16:9<965::AID-SIM509>3.0.CO;2-O 21. Hosmer DW, Hosmer T, Le Cessie S, Lemeshow S. A comparison of goodness-of-fit tests for the logistic regression model. <i>Stat Med</i> 1997; 16: 965–980.
10.1161/HYPERTENSIONAHA.109.149609 22. Muntner P, Woodward M, Mann DM, Shimbo D, Michos ED, Blumenthal RS, et al. Comparison of the Framingham Heart Study hypertension model with blood pressure alone in the prediction of risk of hypertension: The Multi-Ethnic Study of Atherosclerosis. <i>Hypertension</i> 2010; 55: 1339–1345.
10.1056/NEJMsb025007 23. Burchard EG, Ziv E, Coyle N, Gomez SL, Tang H, Karter AJ, et al. The importance of race and ethnic background in biomedical research and clinical practice. <i>N Engl J Med</i> 2003; 348: 1170–1175.
10.1007/BF02032901 24. Takayama T, Hirai S, Oka S, Ishihara T, Kumazaki S, Mishima H, et al. Bilateral giant bullae with rapidly increasing fluid in the right bulla following operation: Report of a case. <i>Surg Today</i> 1994; 24: 272–275.
10.2105/AJPH.78.12.1546 26. Sprafka JM, Folsom AR, Burke GL, Edlavitch SA. Prevalence of cardiovascular disease risk factors in blacks and whites: The Minnesota Heart Survey. <i>Am J Public Health</i> 1988; 78: 1546–1549.
10.1253/circj.CJ-08-0191 27. Teramoto T, Ohashi Y, Nakaya N, Yokoyama S, Mizuno K, Nakamura H, et al. Practical risk prediction tools for coronary heart disease in mild to moderate hypercholesterolemia in Japan: originated from the MEGA study data. <i>Circ J</i> 2008; 72: 1569–1575.
10.2337/dc06-0057 29. Shai I, Jiang R, Manson JE, Stampfer MJ, Willett WC, Colditz GA, et al. Ethnicity, obesity, and risk of type 2 diabetes in women: A 20-year follow-up study. <i>Diabetes Care</i> 2006; 29: 1585–1590.
10.1017/S1368980008002802 30. Wen CP, David Cheng TY, Tsai SP, Chan HT, Hsu HL, Hsu CC, et al. Are Asians at greater mortality risks for being overweight than Caucasians?: Redefining obesity for Asians. <i>Public Health Nutr</i> 2009; 12: 497–506.
10.1046/j.1467-789X.2002.00065.x 31. Deurenberg P, Deurenberg-Yap M, Guricci S. Asians are different from Caucasians and from each other in their body mass index/body fat per cent relationship. <i>Obes Rev</i> 2002; 3: 141–146.
10.1056/NEJM199902253400806 32. Schulman KA, Berlin JA, Harless W, Kerner JF, Sistrunk S, Gersh BJ, et al. The effect of race and sex on physicians’ recommendations for cardiac catheterization. <i>N Engl J Med</i> 1999; 340: 618–626.
10.1161/01.CIR.94.9.2159 33. Mitchell BD, Kammerer CM, Blangero J, Mahaney MC, Rainwater DL, Dyke B, et al. Genetic and environmental contributions to cardiovascular risk factors in Mexican Americans: The San Antonio Family Heart Study. <i>Circulation</i> 1996; 94: 2159–2170.
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