Literature DB >> 15265258

Risk stratification for the prevention of cardiovascular complications of hypertension.

Xavier Girerd1, Philippe Giral.   

Abstract

Arterial hypertension is a well established risk factor for both coronary artery disease (CAD) and stroke. The decision to treat hypertension and prevent cardiovascular complications has, for many years, been based on the level of blood pressure. The present review, based on a cross-sectional and careful analysis of major trials, emphasises the need to assess the cardiovascular risk for each patient in order to make appropriate treatment decisions. Evaluation of cardiovascular risk in untreated hypertensive subjects indicates that coronary risk is two to three times higher than cerebrovascular risk. The same results have been observed in outcome trials where hypertensive patients were treated with antihypertensive drugs. Even though the results of outcome trials for antihypertensive drugs can be explained by blood pressure differences between randomised groups, antihypertensive drugs are, for the same reduction in blood pressure, more efficient in preventing cerebrovascular events than in preventing (CAD). Meta-analysis indicates that each reduction of 2 mmHg in systolic blood pressure levels is associated with a 25% reduction in stroke events, but a difference of at least 5 mmHg for systolic pressure between groups is necessary to obtain prevention of coronary events. A number of controlled trials using statins have shown that these drugs were particularly effective in preventing coronary disease. An appropriate therapeutic strategy for cardiovascular risk reduction in hypertensive patients should therefore include both antihypertensive therapy and prescription of a statin. The efficacy of this strategy was recently reported in the ASCOT trial, which estimated that for 100 hypertensive patients with a high cardiovascular risk and followed up for 10 years, the number of coronary events is 13, 10 and 7 for those without antihypertensive treatment, with antihypertensive therapy only and with both antihypertensive therapy and statin therapy, respectively.

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Year:  2004        PMID: 15265258     DOI: 10.1185/030079904125004169

Source DB:  PubMed          Journal:  Curr Med Res Opin        ISSN: 0300-7995            Impact factor:   2.580


  4 in total

1.  Artificial neural network based model for cardiovascular risk stratification in hypertension.

Authors:  Gangmin Ning; Jie Su; Yingqi Li; Xiaoying Wang; Chenghong Li; Weimin Yan; Xiaoxiang Zheng
Journal:  Med Biol Eng Comput       Date:  2006-02-11       Impact factor: 2.602

2.  Associations of long-term exposure to ambient PM1 with hypertension and blood pressure in rural Chinese population: The Henan rural cohort study.

Authors:  Na Li; Gongbo Chen; Feifei Liu; Shuyuan Mao; Yisi Liu; Yitan Hou; Yuanan Lu; Suyang Liu; Chongjian Wang; Hao Xiang; Yuming Guo; Shanshan Li
Journal:  Environ Int       Date:  2019-05-03       Impact factor: 9.621

3.  Effect of APOB gene polymorphisms on body mass index, blood pressure, and total cholesterol levels: A cross-sectional study in Mexican population.

Authors:  Ana Gabriela Colima Fausto; Jaqueline Topete; Juan Ramón González García; Teresita de Jesús Hernández Flores; Sergio Yair Rodríguez Preciado; María Teresa Magaña Torres
Journal:  Medicine (Baltimore)       Date:  2022-09-23       Impact factor: 1.817

4.  Association of long-term exposure to traffic-related air pollution with blood pressure and hypertension in an adult population-based cohort in Spain (the REGICOR study).

Authors:  Maria Foraster; Xavier Basagaña; Inmaculada Aguilera; Marcela Rivera; David Agis; Laura Bouso; Alexandre Deltell; Jaume Marrugat; Rafel Ramos; Jordi Sunyer; Joan Vila; Roberto Elosua; Nino Künzli
Journal:  Environ Health Perspect       Date:  2014-02-14       Impact factor: 9.031

  4 in total

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