title: Preventing coronary events by optimal control of blood pressure and lipids in patients with the metabolic syndrome.
abstract: We estimated the coronary heart disease (CHD) events that are preventable by treatment of lipids and blood pressure in patients with metabolic syndrome (MetS), a contributor to coronary heart disease (CHD). Among patients aged 30 to 74 years (without diabetes or CHD) in the United States, MetS was defined by National Cholesterol Education Program criteria. CHD events over a period of 10 years were estimated by Framingham algorithms. Events that could be prevented by statistically "controlling" blood pressure, low-density lipoprotein (LDL) cholesterol, and high-density lipoprotein (HDL) cholesterol to either normal or optimal levels according to national guidelines were calculated. Of 7.5 million men and 9.0 million women aged 30 to 74 years with MetS, approximately 1.5 million men and 0.45 million women, if untreated, developed CHD events in 10 years. In men and women, blood pressure control to normal levels "prevented" 28.1% and 12.5% of CHD events, respectively (p <0.01); control to optimal levels resulted in preventing 28.2% and 45.2% of events, respectively (p <0.01). Control of HDL cholesterol to normal levels resulted in preventing 25.3% of events in men and 27.3% in women; optimal control prevented 51.2% and 50.6% of events, respectively. Control of LDL cholesterol to normal levels prevented 9.3% of events in men and 9.8% of events in women; control to optimal levels prevented 46.2% and 38.1% of events (p <0.05), respectively. Control of all 3 risk factors to normal levels resulted in preventing 51.3% of events for men and 42.6% for women; control to optimal levels resulted in preventing 80.5% and 82.1% of events, respectively. Thus, many CHD events in patients with MetS may be preventable by nominal or optimal control of lipids and/or blood pressure.
authors.affiliation: Heart Disease Prevention Program, C240 Medical Sciences, University of California, Irvine, CA 92697, USA. ndwong@uci.edu
authors.forename: Nathan D
authors.initials: ND
authors.lastname: Wong
authors.forename: Jose R
authors.initials: JR
authors.lastname: Pio
authors.forename: Stanley S
authors.initials: SS
authors.lastname: Franklin
authors.forename: Gil J
authors.initials: GJ
authors.lastname: L'Italien
authors.forename: Tripthi V
authors.initials: TV
authors.lastname: Kamath
authors.forename: G Rhys
authors.initials: GR
authors.lastname: Williams
mesh_terms: D000328:Adult; D000367:Age Factors; D000368:Aged; D015415:Biomarkers / Q000097:blood; D001786:Blood Glucose / Q000378:metabolism; D001794:Blood Pressure / Q000502:physiology*; D008076:Cholesterol, HDL / Q000097:blood; D008078:Cholesterol, LDL / Q000097:blood; D003327:Coronary Disease / Q000453:epidemiology / Q000503:physiopathology* / Q000517:prevention & control*; D005260:Female; D006801:Humans; D050356:Lipid Metabolism; D008297:Male; D008659:Metabolic Diseases / Q000453:epidemiology / Q000378:metabolism* / Q000503:physiopathology*; D008875:Middle Aged; D012307:Risk Factors; D012737:Sex Factors; D013577:Syndrome; D014280:Triglycerides / Q000097:blood; D014481:United States / Q000453:epidemiology
chemical_list: D015415:Biomarkers; D001786:Blood Glucose; D008076:Cholesterol, HDL; D008078:Cholesterol, LDL; D014280:Triglycerides