Gender‐ and Age‐Related Differences in Treatment and Control of Cardiovascular Risk Factors Among High‐Risk Patients With Angina

Abstract

were stratified by gender, age, and angina (n=2502) vs. nonangina (n=46,358) (angina, 43.94-43.96 vs. 34.42-34.50; nonangina, 32.43-32.43 vs. 17.25-17.25) and 100-129 mg/dL (angina, 32.12-32.14 vs. 35.10-35.18; nonangina, 53.86-53.86 vs. 32.44-32.44). More women than men had LDL-C ≥130 mg/dL (angina, 27.68-27.72 vs. 23.91-23.93; nonangina, 38.70-38.70 vs. 35.38-35.39). Women were less likely than men to receive statins (angina, 69.95-69.99 vs. 82.11-82.13; nonangina, 59.80-59.80 vs. 63.72-63.72), any antilipidemic medication at all (angina, 25.93-25.97 vs. 13.48-13.48; nonangina, 36.73-36.73 vs. 30.73-30.73), or to have current cholesterol measurements (angina, 56.82-56.88 vs. 34.54-34.56; nonangina, 45.77-45.77 vs. 39.75-39.75 C oronary heart disease (CHD) is the single leading cause of death in both men and women in the United States, accounting for more than one out of every five deaths in 2001.1 Hypertension is one of the most significant risk factors for development of CHD, affecting over half of all people who have suffered a first heart attack, and preceding development of congestive heart failure in 91% of cases. 2,3 While the health problems presented by CHD and hypertension have long been recognized in men and older patients, the magnitude of the burden of these diseases in women and younger patients has been largely overlooked until recent decades.4-6 While women do have some health advantages over men regarding the development of heart disease, these advantages are demonstrably not universal-and once CHD is manifest, women lose prognostic superiority over men. 7,8 Elevated low-density lipoprotein cholesterol (LDL-C) levels (dyslipidemia) are well documented as a major contributor to the development of atherosclerosis and subsequent coronary disease. 9Hypertensive patients with dyslipidemia are at increased risk for formation of atherosclerotic

Associations of Psychosocial Factors With Probable Hospital Mortality According to the Timi and Grace Scales in Patients Living in the North With Acute Coronary Syndrome

“…Известно, что женщины более подвержены развитию тревожных и депрессивных расстройств по сравнению с мужчинами [24][25][26]. Очевидно, что изучение факторов, влияющих на развитие, течение и прогноз острых форм ИБС требует дифференцированного подхода у мужчин и женщин [27,28].…”

Rationale for Establishing a Mechanism to Increase Reimbursement to Hypertension Specialists

“…34 The Registry has proved useful in identifying racial/ ethnic (black vs white) differences in control of BP, lipids, and diabetes (disparities in control at Veterans Administration [VA] sites was roughly half those at civilian sites). [35][36][37][38][39][40][41][42] Further analyses suggested that better access to healthcare (more visits per year) and medications likely contributed to the narrowing of racial disparities in hypertension control at the VA sites. 36 The Registry database confirmed that white men with and without diabetes had better control of LDL cholesterol levels than white women and black men or women.…”

Impacting Population Cardiovascular Health Through a Community‐Based Practice Network: Update on an ASH‐Supported Collaborative

“…The network database has grown to approximately 1.7 million patients seen in the past 5 years (Table I). The database has supported needs assessment for and outcomes of continuing medical education (CME), enabled peer‐reviewed publications documenting various outcomes and ongoing need for improvement, and provided the foundation with comparative effectiveness research 7–19 . The addition of a data analyst (YZ) provides opportunities for comparison of O’QUIN findings to national databases and to conduct more in‐depth analyses 20 …”

“…The database has supported needs assessment for and outcomes of continuing medical education (CME), enabled peer-reviewed publications documenting various outcomes and ongoing need for improvement, and provided the foundation with comparative effectiveness research. [7][8][9][10][11][12][13][14][15][16][17][18][19] The addition of a data analyst (YZ) provides opportunities for comparison of O'QUIN findings to national databases and to conduct more in-depth analyses. 20 Despite the success, our network has experienced challenges described by others, including ongoing funding and coping with changes in new technology and in the practices themselves.…”