4.3 Article

Structural alterations of subcutaneous small-resistance arteries may predict major cardiovascular events in patients with hypertension

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AMERICAN JOURNAL OF HYPERTENSION
卷 20, 期 8, 页码 846-852

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ELSEVIER SCIENCE INC
DOI: 10.1016/j.amjhyper.2007.03.016

关键词

vessels; prognosis; arteries; remodeling; hypertension; hypertrophy

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Background: Structural alterations in the microcirculation may be considered an important mechanism of organ damage. An increased tunica media to internal lumen ratio of subcutaneous small-resistance arteries (M:L) may predict the development of cardiovascular events in a high-risk population. However, it is not known whether structural alterations of small arteries may also predict major cardiovascular events. Methods: Three hundred three subjects were included in the present study. There were 65 normotensive subjects, 111 patients with essential hypertension (33% of them with diabetes mellitus), 109 patients with secondary forms of hypertension, and 18 normotensive diabetic patients . Small-resistance arteries were dissected from subcutaneous fat biopsies and mounted on an isometric myograph, and the M:L was measured. Subjects were reevaluated after an average follow-up time of 6.9 years to assess the occurrence of cardio-cerebrovascular events. Results: Eleven subjects died of a fatal cardio-cerebrovascular event (FCE), 14 had a major, nonfatal cardiovascular event (stroke or myocardial infarction) (SMI), 23 had a minor cardiovascular event (MCE), and 255 had no cardiovascular event (NCE). A significant difference was observed in M:L and in event-free survival between patients with FCEs + SMIs + MCEs and those with NCE and between patients with FCEs + SMIs and those with NCE. Similar results were obtained by restricting the analysis to patients with essential hypertension. Conclusions: Structural alterations of small-resistance arteries may predict FCE and SMI. The prognostic role of small-resistance artery structure also applies to medium-risk patients with essential hypertension, at least when MCEs are included in the analysis.

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