Literature DB >> 26742191

The Racial, Cultural and Social Makeup of Hispanics as a potential Profile Risk for Intensifying the Need for Including this Ethnic Group in Clinical Trials.

Angel López-Candales, Jaime Aponte Rodríguez, David Harris.   

Abstract

Hypertension not only is the most frequently listed cause of death worldwide; but also a well-recognized major risk factor for cardiovascular disease and stroke. Based on the latest published statistics published by the American Heart Association, hypertension is very prevalent and found in one of every 3 US adults. Furthermore, data from NHANES 2007 to 2010 claims that almost 6% of US adults have undiagnosed hypertension. Despite this staggering statistic, previous US guidelines for the prevention, detection, and treatment of hypertension (The Seventh Report of the Joint National Committee on Prevention, Detection, Evaluation, and Treatment of High Blood Pressure 7 [JNC 7]), released in 2003, stated that; "unfortunately, sufficient numbers of Mexican Americans and other Hispanic Americans... have not been included in most of the major clinical trials to allow reaching strong conclusions about their responses to individual antihypertensive therapies." However, the recently published JNC 8 offers no comment regarding recommendations or guideline treatment suggestions on Hispanics. The purpose of this article not only is to raise awareness of the lack of epidemiological data and treatment options regarding high blood pressure in the US Hispanic population; but also to make a case of the racial, cultural and social makeup of this ethnic group that places them at risk of cardiovascular complications related to hypertension.

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Year:  2015        PMID: 26742191

Source DB:  PubMed          Journal:  Bol Asoc Med P R        ISSN: 0004-4849


  1 in total

1.  Comparative analyses of population-scale phenomic data in electronic medical records reveal race-specific disease networks.

Authors:  Benjamin S Glicksberg; Li Li; Marcus A Badgeley; Khader Shameer; Roman Kosoy; Noam D Beckmann; Nam Pho; Jörg Hakenberg; Meng Ma; Kristin L Ayers; Gabriel E Hoffman; Shuyu Dan Li; Eric E Schadt; Chirag J Patel; Rong Chen; Joel T Dudley
Journal:  Bioinformatics       Date:  2016-06-15       Impact factor: 6.937

  1 in total

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