Impact of atherosclerosis detection by carotid ultrasound on physician behavior and risk-factor management in asymptomatic hypertensive subjects.

CLINICAL CARDIOLOGY(2014)

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摘要
Background There are limited data regarding the impact of atherosclerosis detection by carotid ultrasound (CUS) on physician prevention efforts and risk-factor management for cardiovascular disease. Hypothesis Atherosclerosis detection by CUS in asymptomatic hypertensive patients would lead to physician prevention efforts, including target low-density lipoprotein cholesterol (LDL-C) level and prescription. Also, it may improve risk-factor management. Methods A total of 347 asymptomatic hypertensive subjects (age 61 8 years, 189 men) were prospectively recruited from 22 hospitals. Prior to CUS, physicians were surveyed regarding target LDL-C level. After CUS, patients were classified into positive CUS (n = 182) and negative CUS (n = 165) groups based on CUS results. Physicians were resurveyed to assess whether the initial target LDL-C goals were changed. At 6 months, cardiovascular risk-factor modification status was reassessed. Results The proportion of lowered target LDL-C levels was significantly larger in the positive CUS group than in the negative CUS group (52% vs 23%, P < 0.001). These results were observed even in subjects who had low and moderate risk according to National Cholesterol Education Program-Adult Treatment Panel III guidelines. Lipid-lowering agents were similarly added or switched to another class in both groups (7% in the positive CUS group vs 11% in the negative CUS group, P = 0.153). LDL-C was significantly decreased in the positive CUS group ( = -24 +/- 38 mg/dL, P < 0.001), whereas it was not significantly decreased in the negative CUS group ( = -6 +/- 31 mg/dL, P = 0.105). Conclusions Atherosclerosis detection by CUS lowered physicians' target LDL-C level and improved cardiovascular risk management in terms of LDL-C reduction.
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关键词
carotid ultrasound,atherosclerosis detection,asymptomatic hypertensive subjects,risk-factor
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