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研究生:洪崇烈
研究生(外文):Chung-Lieh Hung
論文名稱:以不同臨床篩檢方式在預期屬於中度至高度心血管風險族群的效果評估及花費比較
論文名稱(外文):Comparison of the Diagnostic Accuracy and Cost-Effectiveness of Various Screening Tools on Projected Intermediate-to-High Cardiovascular Risk
指導教授:蘇喜蘇喜引用關係
指導教授(外文):Syi Su
口試委員:楊銘欽葉宏一
口試日期:2011-07-28
學位類別:碩士
校院名稱:國立臺灣大學
系所名稱:健康政策與管理研究所
學門:醫藥衛生學門
學類:公共衛生學類
論文種類:學術論文
論文出版年:2011
畢業學年度:99
語文別:英文
論文頁數:79
中文關鍵詞:心血管疾病弗明罕風險指數代謝異常指數血清生物標記頸動脈檢查診斷正確性經濟效益
外文關鍵詞:Cardiovascular diseaseFramingham risk scoremetabolic risk scorebiomarkerCarotid artery studydiagnostic accuracycost-effectiveness
相關次數:
  • 被引用被引用:1
  • 點閱點閱:256
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背景
由於每年花在心血管疾病相關的費用相當昂貴,對於早期疾病的預防及有效、正確且符合經濟效益的篩檢方式顯得格外重要。
目的
本研究的目標在於探討不同心血管疾病的篩檢工具在無症狀的個體,於預期十年後中度至高度的心血管風險 (利用弗明罕風險指數)的正確診斷及經濟效益。
材料與方法
本研究自2005至2009年總共研究了一千兩百名參與年度體檢且無明顯症狀的個體。藉由病患的基本資料及抽血、生化檢驗及體表心電圖資訊等結果,計算出弗明罕風險指數。另外,也做了人體測量學的定量,並根據血中生化值算出代謝異常指數。我們的研究並額外加入關於高敏感度C蛋白的血清值及超音波頸動脈內膜厚度的分析及粥狀動脈的有無等資訊並且用來和弗明罕風險指數做比較。藉由診斷的正確性及經濟效益的分析,我們試圖找到一個比較有效的篩檢方式。
結果
總共有一千一百零一位參與者加入本研究(平均年齡五十點六歲;百分之三十八點六為女性)。高的弗明罕風險和高的代謝異常指數相關,並且有明顯較高的代謝症候群比率、較高的Hs-CRP及頸動脈內膜厚度值,以及較高比例的頸動脈粥的異常(線性相關及卡方檢定結果皆小於0.001)。男性比起女性有較高的弗明罕風險指數及較高的代謝異常指數、較高的頸動脈內膜厚度值,但是接近的異常頸動脈粥的盛行率。Hs-CRP並無明顯的性別上的差異(p=0.15)。對於篩檢預期十年後中度至高度的心血管風險,使用代謝異常指數大於等於1做為切點,會有最佳的敏感度(94.43%, 95% CI: 92.05 - 96.27);反之,藉由選定頸動脈內膜厚度大於或等於1毫米,則會有最佳的特異度(98.27, 95% CI: 97.24 - 98.99)。另外,使用代謝異常指數大於等於2或藉由選定頸動脈內膜厚度大於或等於0.65毫米,則會有最大的敏感及特異度的加總。比起最昂貴的超音波頸動脈檢查(62222.2 NTD)及代謝異常指數檢測,在每篩檢一位預期十年後中度至高度的心血管風險陽性的個體,Hs-CRP大於或等於0.1mg/dL卻有最低的花費(1519.3 NTD)。

結論
雖然篩檢一位中度至高度的心血管風險陽性的個體的正確性在不同的篩檢工具藉由選定不同的切點值會有不同的診斷率,選定一個較低的代謝異常指數會有最高的敏感性而異常的頸動脈內膜厚度將會有最佳的特異度。另外,本研究也顯示了在無明顯心血管相關症狀的群體,選定一個低的Hs-CRP值似乎具有最佳的經濟效益。


Abstract
Background
Owing to the high costs spent annually in cardiovascular diseases, there is an urgent need in identifying subjects at an early stage based on view point of preventive medicine. The development of a cost-effective screening tool with adequate diagnostic accuracy is thus crucial.
Goals
To investigate the diagnostic accuracy and cost-effectiveness of various cardiovascular screening tools in the estimation of intermediate-to-high risk Framingham risk score (FRS) subjects in asymptomatic population.
Materials and Methods
We consecutively studied 1200 asymptomatic subjects who underwent health evaluation from 2005-2009. FRS was calculated in all participants based on age, gender, blood pressure, body surface electrocardiography, medical histories, life styles and lipid profiles. We also assessed metabolic scores by additional anthropometric information. Data regarding high-sensitivity C reactive protein (Hs-CRP) serum level and carotid artery Doppler in assessing intima-media-thickness (IMT) and plaque existence were also obtained and correlated with FRS. Diagnostic accuracy and cost-effectiveness analysis were then conducted among these different tools aiming at a more efficient screen of intermediate-to-high Framingham risk population.
Results
Of all, totally 1101 participants (mean age: 50.6 ± 10.4, 38.6% women) were finally entered in our study. Higher Framingham risk score was associated with higher metabolic risk scores, higher prevalence of metabolic syndrome, elevated level of Hs-CRP, higher IMT thickness and higher prevalence of carotid artery plaque existence (all p<0.001 by linear regression or chi square test). In general, male had higher FRS than female gender, as well as higher metabolic risks scores, larger IMT (all p<0.001) though similar prevalence of carotid artery plaques (p=0.134). There was no gender-related difference in Hs-CRP level (p=0.15). By using metabolic score equal or larger than 1 as a cut-off, there seemed to be a very high sensitivity (94.43%, 95% CI: 92.05 - 96.27) in identifying a subject with intermediate-to-high Framingham risk score while the best specificity (98.27, 95% CI: 97.24 - 98.99) was achieved by utilizing carotid IMT equal or larger than 1mm as a cut-off. In addition, a metabolic score cut-off of 2, Hs-CRP of 0.101mg/dL and IMT of 0.65mm seemed to have the highest sum of both sensitivity and specificity. Compared to carotid artery study and metabolic score calculation, Hs-CRP with a cut-off value 0.1 seemed to have lowest cost (1519.3 NTD) in identifying an intermediate-to-high Framingham risk subject with highest screening cost occurred (62222.2 NTD) per positive case by simply using carotid echo-defined abnormal IMT (>=1mm).
Conclusion
Though diagnostic accuracy may differ to some degree by using different cut-off values in various studies, a low metabolic score has the best sensitivity with abnormal IMT had highest specificity in screening a subject at risk for future cardiovascular diseases. In addition, setting a low Hs-CRP serum level seemed to have the best cost-effectiveness in asymptomatic population.

Index
Abstract iii-vi
List of Tables viii
List of Figures x

Chapter 1 Introduction 1
1.1 Research Background and Motivation 1
1.2 Significance of the Study 4
1.3 Research Objective 4
Chapter 2 Literature Review 6
2.1 Cardiovascular Diseases and Related Risks 6
2.2 Metabolic Score (Definition of Metabolic Syndrome) 7
2.3 Carotid Artery Sonography 8
2.4 Serum Biomarker 9
2.5 Common methods of economic evaluation 10
Chapter 3 Research Method 11
3.3 Research Design Flowchart 13
3.4 Materials and Methods 15
3.5 Data Processing and Statistical Analysis 20
Chapter 4 Results 22
Chapter 5 Discussion 29
Chapter 6 Conclusion 34
Chapter 7 Limitations 35
Keywords and Appendix 65
References 69



1 http://www.doh.gov.tw/statistic/data
2 Lloyd-Jones, Donald, Robert Adams, Mercedes Carnethon, Giovanni De Simone, T. Bruce Ferguson, Katherine Flegal, Earl Ford, Karen Furie, Alan Go, Kurt Greenlund, Nancy Haase, Susan Hailpern, Michael Ho, Virginia Howard, Brett Kissela, et al. . "Heart Disease and Stroke Statistics 2009 Update: A report from the American Heart Association statistics committee and stroke statistics subcommittee". Circulation. Vol. 119, pp. e21-181.
3 American Heart Association. Heart Disease and Stroke Statistics 2008 Update. December 2007.
4 Heidenreich PA, Trogdon JG, Khavjou OA, Butler J, Dracup K, Ezekowitz MD, Finkelstein EA, Hong Y, Johnston SC, Khera A, Lloyd-Jones D, Nelson SA, Nichol G, Orenstein D, Wilson PWF, Woo YJ. Forecasting the future of cardiovascular disease in the United States: a policy statement from the American Heart Association. Circulation. 2011;123:933–944.
5 Fuster V. Elucidation of the role of plaque instability and rupture in acute coronary events. Am J Cardiol. 1995;76(suppl C):24C–33C.
6 McGovern PG, Pankow JS, Shahar E, Doliszny KM, Folsom AR, Blackburn H, Luepker RV, the Minnesota Heart Survey Investigators. Recent trends in acute coronary heart disease: mortality, morbidity, medical care, and risk factors. N Engl J Med. 1996;334:884–890.
7 Walker SH, Duncan DB: Estimation of the probability of an event as a function of several independent variables. Biometrika 1967;54:167-179
8 Bayly GR, Bartlett WA, Davies PH, et al. Laboratory-based calculation of coronary heart disease risk in a hospital diabetes clinic. Diabet Med 1999;16:697–701.
9 British Cardiac Society, British Hyperlipidaemia Association, British Hypertension Society, British Diabetic Association. Joint British recommendations on prevention of coronary heart disease in clinical practice: summary. BMJ 2000;320:705–6
10 Wallis EJ, Ramsay LE, Haq IU, et al. Coronary and cardiovascular risk estimation for primary prevention: validation of the new Sheffield table in the 1995 Scottish health survey population. BMJ 2000;320:671–6.
1 Wood D, Durrington P, Poulter N, et al. Joint British recommendations on prevention of coronary heart disease in clinical practice. Heart 1998; 80(suppl 2):S1–29.
2 Kannel WB, Feinleib M. Natural history of angina pectoris in the Framingham study. Prognosis and survival. Am J Cardiol. Feb 1972;29(2):154-63.
3 Bamberg F, Truong QA, Blankstein R, Nasir K, Lee H, Rogers IS, et al. Usefulness of age and gender in the early triage of patients with acute chest pain having cardiac computed tomographic angiography. Am J Cardiol. Nov 1 2009;104(9):1165-70.
4 Greenland P, Bonow RO, Brundage BH, Budoff MJ, Eisenberg MJ, Grundy SM. ACCF/AHA 2007 clinical expert consensus document on coronary artery calcium scoring by computed tomography in global cardiovascular risk assessment and in evaluation of patients with chest pain: a report of the American College of Cardiology Foundation Clinical Expert Consensus Task Force (ACCF/AHA Writing Committee to Update the 2000 Expert Consensus Document on Electron Beam Computed Tomography) developed in collaboration with the Society of Atherosclerosis Imaging and Prevention and the Society of Cardiovascular Computed Tomography. J Am Coll Cardiol. Jan 23 2007;49(3):378-402.
5 O''Keefe JH Jr, Barnhart CS, Bateman TM. Comparison of stress echocardiography and stress myocardial perfusion scintigraphy for diagnosing coronary artery disease and assessing its severity. Am J Cardiol. Apr 13 1995;75(11):25D-34D.
6 Meijboom WB, Van Mieghem CA, van Pelt N, Weustink A, Pugliese F, Mollet NR. Comprehensive assessment of coronary artery stenoses: computed tomography coronary angiography versus conventional coronary angiography and correlation with fractional flow reserve in patients with stable angina. J Am Coll Cardiol. Aug 19 2008;52(8):636-43.
7 Sones FM, Shirey EK. Cine coronary arteriography. Mod Concepts Cardiovasc Dis 1962;31:735-8.
8 Proudfit WL, Shirey EK, Sones FM Jr. Selective cine coronary arteriography. Correlation with clinical findings in 1,000 patients. Circulation 1966;33:901-10.
9 Hurst, J. Willis; Fuster, Valentin; O''Rourke, Robert A. (2004). Hurst''s The Heart. New York: McGraw-Hill, Medical Publishing Division. pp. 489–90. ISBN 0-07-142264-1.
20 Cupples LA, D’Agostino RB. Section 34: Some risk factors related to the annual incidence of cardiovascular disease and death in pooled biennial measurements. In: Kannel WB, Wolf PA, Garrison RJ, eds. Framingham Heart Study: 30 Year Follow-Up. Bethesda, MD: US Department of Health and Human Services; 1987. NIH publication
No. 87. pp. 2703-2707.
2 Woodward M, Brindle P, Tunstall Pedoe H; For the SIGN Group on Risk Estimation. Adding social deprivation and family history to cardiovascular risk assessment: the ASSIGN score from the Scottish Heart Health Extended Cohort (SHHEC). Heart 2007;93:172-176.
22 Conroy RM, Pyorala K, Fitzgerald AP, Sans S, Menotti A, De Backer G, et al.; For the SCORE Project Group. Estimation of ten-year risk of fatal cardiovascular disease in Europe: the SCORE. Eur Heart J 2003;24:987-1003
23 Expert Panel on Detection, Evaluation, and Treatment of High Blood Cholesterol in Adults. Executive Summary of the Third Report of the National Cholesterol Education Program (NCEP) Expert Panel on Detection, Evaluation, and Treatment of High Blood Cholesterol in Adults (Adult Treatment Panel III). JAMA 2001;285:2486-2497.
24 Anderson KM, Wilson PWF, Odell PM, Kannel WB. An updated coronary risk profile: a statement for health professionals. Circulation. 1991; 83:357–363.
25 Wilson PWF, D’Agostino RB, Levy D, et al. Prediction of coronary heart disease using risk factor categories. Circulation. 1998;97:1837–1847.
26 Pearson TA. New tools for coronary risk assessment: what are their advantages and limitations? Circulation. 2002 Feb 19;105(7):886-92.
27 Libby P, Ridker PM. Novel inflammatory markers of coronary risk: theory versus practice. Circulation. 1999;100:1148–1150.
28 Ridker PM, Rifai N, Rose L, Buring JE, Cook NR. Comparison of C-reactive protein and low-density lipoprotein cholesterol levels in the prediction of first cardiovascular events. N Engl J Med 2002; 347: 1557–65.
29 Koenig W, Lowel H, Baumert J, Meisinger C. C-reactive protein modulates risk prediction based on the Framingham Score: implications for future risk assessment: results from a large cohort study in southern Germany. Circulation 2004; 109: 1349–53.
30 Cushman M, Arnold AM, Psaty BM et al. C-reactive protein and the 10-year incidence of coronary heart disease in older men and women: the cardiovascular health study. Circulation 2005; 112: 25–31.
31 Haffner SM. The metabolic syndrome: inflammation, diabetes mellitus, and cardiovascular disease. Am J Cardiol 2006; 97: 3A–11A.
32 Natori S, Lai S, Finn JP, et al. Cardiovascular function in multi-ethnic study of atherosclerosis: normal values by age, sex, and ethnicity. AJR Am J Roentgenol 2006;186:S357– 65.
33 Chambless LE, Heiss G, Folsom AR, et al. Association of coronary heart disease incidence with carotid arterial wall thickness and major risk factors: the Atherosclerosis Risk in Communities (ARIC) Study, 1987-1993. Am J Epidemiol. 1997;146(6):483-494.
34 Ridker PM, Cushman M, Stampfer MJ, Tracy RP, Hennekens CH.Inflammation, aspirin, and the risk of cardiovascular disease in apparently healthy men. N Engl J Med 1997;336:973-9.
35 Libby P, Ridker PM, Hansson GK; Leducq Transatlantic Network on Atherothrombosis. Inflammation in atherosclerosis: from pathophysiology to practice. J Am Coll Cardiol. 2009 Dec 1;54(23):2129-38.
36 Shaw LJ, Raggi P, Berman DS, Callister TQ. Cost effectiveness of screening for cardiovascular disease with measures of coronary calcium. Prog Cardiovasc Dis. 2003 Sep-Oct;46(2):171-84.
37 Ford ES. Coronary heart disease mortality among young adults in the US from 1980 through 2002: concealed leveling of mortality rates. J Am Coll Cardiol. 2007;50:2128–2132.
38http://www.nhi.gov.tw/webdata/webdata.aspx?menu=6&menu_id=168&WD_ID=&webdata_id=2050.
39 Malik S, Wong ND, Franklin SS, Kamath TV, L’Italien GJ, Pio JR, et al. Impact of the metabolic syndrome on mortality from coronary heart disease, cardiovascular disease, and all causes in United States adults. Circulation 2004;110:1245-50.
40 Alexander CM, Landsman PB, Teutsch SM, Haffner SM; Third National Health and Nutrition Examination Survey (NHANES III); National Cholesterol Education Program (NCEP). NCEP-defined metabolic syndrome, diabetes, and prevalence of coronary heart disease among NHANES III participants age 50 years and older. Diabetes 2003;52:1210-4.
4 Hamburg NM, Larson MG, Vita JA, Vasan RS, Keyes MJ, Widlansky ME, et al. Metabolic syndrome, insulin resistance, and brachial artery vasodilator function in Framingham Offspring participants without clinical evidence of cardiovascular disease. Am J Cardiol 2008;101:82-8.
42 Langenberg C, Bergstrom J, Scheidt-Nave C, Pfeilschifter J, Barrett-Connor E. Cardiovascular death and the metabolic syndrome: role of adiposity-signaling hormones and inflammatory markers. Diabetes Care. 2006 Jun;29(6):1363-9.
43 Hanefeld M, Ceriello A, Schwarz PE, Bornstein SR. The challenge of the Metabolic Syndrome. Horm Metab Res. 2007 Sep;39(9):625-6.
44 Gordillo-Moscoso A, Valadéz-Castillo JF, Mandeville PB, Hernández-Sierra JF. Comparison of equivalence and determination of diagnostic utility of min-mod and clamp methods for insulin resistance in diabetes free subjects: a meta-analysis. Endocrine. 2004 Dec;25(3):259-63. Review.
45 Leonetti F, Iacobellis G, Zappaterreno A, Ribaudo MC, Tiberti C, Vecci E, Di Mario U. Insulin sensitivity assessment in uncomplicated obese women: comparison of indices from fasting and oral glucose load with euglycemic hyperinsulinemic clamp. Nutr Metab Cardiovasc Dis. 2004 Dec;14(6):366-72.
46 Hanefeld M, Metzler W, Köhler C, Schaper F. Metabolic syndrome: "common soil" for diabetes and atherosclerosis. Novel approaches to an integrated therapy. Herz. 2006 May;31(3):246-54; quiz 255. Review.
47 Gorogawa S, Kaneto H, Matsuhisa M, Ohtoshi K, Kawamori D, Hazama Y, Yoshiuchi K, Yamasaki Y. Possible novel index determined by the glucose clamp test for selection of a suitable therapy for each type 2 diabetic patient. Diabetes Res Clin Pract. 2005 Jul;69(1):1-4.
48 Reaven GM. Diet and Syndrome X. Curr Atheroscler Rep. 2000;2:503-507.
49 Ferrannini E. Insulin resistance and blood pressure. In: Reaven G, Laws A, eds. Insulin Resistance: The Metabolic Syndrome X. Totowa, NJ: Humana Press; 1999.
50 Reaven GM. Do high carbohydrate diets prevent the development or attenuate the manifestations (or both) of syndrome X? A viewpoint strongly against. Curr Opin Lipidol. 1997;8:23-27.
5 Adolphe A, Cook LS, Huang X. A cross-sectional study of intima-media thickness, ethnicity, metabolic syndrome, and cardiovascular risk in 2268 study participants. Mayo Clin Proc. 2009 Mar;84(3):221-8.
52 O''Leary DH, Polak JF, Kronmal RA, Manolio TA, Burke GL, Wolfson Jr SK Carotid-artery intima and media thickness as a risk factor for myocardial infarction and stroke in older adults. Cardiovascular Health Study Collaborative Research Group. N Engl J Med 1999: 340:14–22.
53 Cheng KS, Mikhailidis DA, Hamilton G, Seifalian AM A review of carotid and femoral intima-media thickness as an indicator of the presence of vascular disease and cardiovascular risk factors. Cardiovasc Res 2002 54:528–538.
54 Nambi V, Chambless L, He M, Folsom AR, Mosley T, Boerwinkle E, Ballantyne CM. Common carotid artery intima-media thickness is as good as carotid intima-media thickness of all carotid artery segments in improving prediction of coronary heart disease risk in the Atherosclerosis Risk in Communities (ARIC) study. Eur Heart J. 2011 Jun 11.
55 Raitakari OT, Juonala M, Kähönen M, Taittonen L, Laitinen T, Mäki- Torkko N, et al. Cardiovascular risk factors in childhood and carotid artery intima-media thickness in adulthood: the Cardiovascular Risk in Young Finns Study. JAMA 2003;290:2277-83.
56 Roberts WL, Sedrick R, Moulton L, Spencer A, Rifai N. Evaluation of four automated high sensitivity C-reactive protein methods: Implications for clinical and epidemiological applications. Clin Cem 2000:46:461-8.
57 Ridker PM. Fibrinolytic and inflammatory markers for arterial occlusion: the evolving epidemiology of thrombosis and hemostasis. Thromb Haemost. 1997 Jul;78(1):53-9.
58 Ridker PM. Intrinsic fibrinolytic capacity and systemic inflammation: novel risk factors for arterial thrombotic disease. Haemostasis. 1997;27 Suppl 1:2-11.
59 Pearson TA, Mensah GA, Alexander RW, Anderson JL, Cannon RO 3rd, Criqui M, et al; Centers for Disease Control and Prevention. Markers of inflammation and cardiovascular disease: application to clinical and public health practice: A statement for healthcare professionals from the Centers for Disease Control and Prevention and the American Heart Association. Circulation. 2003; 107:499-511.
60 Buckley DI, Fu R, Freeman M, Rogers K, Helfand M. C-Reactive Protein as a Risk Factor for Coronary Heart Disease: A Systematic Review and Meta-analyses for the U.S. Preventive Services Task Force. Ann Intern Med, October 6, 2009; 151(7): 483 - 495.
61 Ridker PM , Cook N. Clinical usefulness of very high and very low levels of C-reactive protein across the full range of Framingham risk scores . Circulation . 2004;109:1955–1959.
62 Yang EY, Nambi V, Tang Z, Virani SS, Boerwinkle E, Hoogeveen RC, Astor BC, Mosley TH, Coresh J, Chambless L, Ballantyne CM. Clinical implications of JUPITER (Justification for the Use of statins in Prevention: an Intervention Trial Evaluating Rosuvastatin) in a U.S. population insights from the ARIC (Atherosclerosis Risk in Communities) study. J Am Coll Cardiol. 2009 Dec 15;54(25):2388-95.
63 Lorenzoni R, Cortigiani L, Magnani M, Desideri A, Bigi R, Manes C, Picano E. Cost-effectiveness analysis of noninvasive strategies to evaluate patients with chest pain. J Am Soc Echocardiogr. 2003 Dec;16(12):1287-91.
64 Stein JH, Korcarz CE, Hurst RT, et al. Use of carotid ultrasound to identify subclinical vascular disease and evaluate cardiovascular disease risk: a consensus statement from the American Society of Echocardiography Carotid Intima-Media Thickness Task Force: endorsed by the Society for Vascular Medicine [published correction appears in J Am Soc Echocardiogr. 2008; 21(4):376]. J Am Soc Echocardiogr. 2008;21(2):93-111.
65 依據本局95年12月07日國健成字第0950600615號函送修正我國代謝症候群臨床診斷準則會議決議辦理。
66 Grundy SM, Cleeman JI, Merz CN, et al. Implications of recent clinical trials for the National Cholesterol Education Program Adult Treatment Panel III guidelines [published correction appears in Circulation. 2004;110(6):763]. Circulation. 2004;110(2):227-239.
67 Nasir K, Vasamreddy C, Blumenthal RS, Rumberger JA. Comprehensive coronary risk determination in primary prevention: an imaging and clinical based definition combining computed tomographic coronary artery calcium score and National Cholesterol Education Program risk score. Int J Cardiol.2006 Jun 16;110(2):129-136. Epub 2005 Nov 21.
68 Lester SJ, Eleid MF, Khandheria BK, Hurst RT. Carotid intima-media thickness and coronary artery calcium score as indications of subclinical atherosclerosis. Mayo Clin Proc. 2009 Mar;84(3):229-33.
69 Mendoza F, Berman DS, Rafii F, et al. Does zero coronary or aortic calcium score predict the absence of carotid plaque [abstract 907-255]? J Am Coll Cardiol. 2008;51(10):A152.
70 Ferrières J, Elias A, Ruidavets JB, Cantet C, Bongard V, Fauvel J, Boccalon H. Carotid intima-media thickness and coronary heart disease risk factors in a low-risk population. J Hypertens. 1999 Jun;17(6):743-8.
71 Cuspidi C, Meani S, Valerio C, et al. Age and target organ damage in essential hypertension: role of the metabolic syndrome. Am J Hypertens. 2007;20(3):296-303.
72 Taylor AJ, Kent SM, Flaherty PJ, Coyle LC, Markwood TT, Vernalis MN. ARBITER: Arterial Biology for the Investigation of the Treatment Effects of Reducing Cholesterol: a randomized trial comparing the effects of atorvastatin and pravastatin on carotid intima medial thickness. Circulation. 2002;106(16):2055-2060.
73 OKeefe JH, Bybee KA, Lavie CJ. Intensive lipid intervention in the post-ENHANCE era [editorial]. Mayo Clin Proc. 2008;83(8):867-869.
74 Kastelein JJ, Akdim F, Stroes ES, et al; ENHANCE Investigators. Simvastatin with or without ezetimibe in familial hypercholesterolemia [published correction appears in N Engl J Med. 2008;358(18):1977]. N Engl J Med. 2008 Apr 3;358(14):1431-1443. Epub 2008 Mar 30.
75 Folsom AR, Chambless LE, Ballantyne CM, Coresh J, Heiss G, Wu KK, Boerwinkle E, Mosley TH Jr, Sorlie P, Diao G, Sharrett AR. An assessment of incremental coronary risk prediction using C-reactive protein and other novel risk markers: the atherosclerosis risk in communities study. Arch Intern Med. 2006 Jul 10;166(13):1368-73.
76 Folsom AR, Kronmal RA, Detrano RC, et al. Coronary artery calcification compared with carotid intima-media thickness in the prediction of cardiovascular disease incidence: the Multi-Ethnic Study of Atherosclerosis (MESA). Arch Intern Med. 2008;168: 1333–9.


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