Literature DB >> 27316504

Risk assessment in the prevention of cardiovascular disease in low-resource settings.

Sandra N Ofori1, Osaretin J Odia2.   

Abstract

INTRODUCTION: Cardiovascular disease (CVD) prevalence is increasing in low- and middle-income countries. Total risk assessment is key to prevention.
METHODS: Studies and guidelines published between 1990 and 2013 were sought using Medline database, PubMed, and World Health Organization report sheets. Search terms included 'risk assessment' and 'cardiovascular disease prevention'. Observational studies and randomized controlled trials were reviewed.
RESULTS: The ideal risk prediction tool is one that is derived from the population in which it is to be applied. Without national population-based cohort studies in sub-Saharan African countries like Nigeria, there is no tool that is used consistently. Regardless of which one is adopted by national guidelines, routine consistent use is advocated by various CVD prevention guidelines.
CONCLUSIONS: In low-resource settings, the consistent use of simple tools like the WHO charts is recommended, as the benefit of a standard approach to screening outweighs the risk of missing an opportunity to prevent CVD.
Copyright © 2015 Cardiological Society of India. Published by Elsevier B.V. All rights reserved.

Entities:  

Keywords:  Cardiovascular disease prevention; Cardiovascular diseases; Risk assessment; Risk markers

Mesh:

Year:  2015        PMID: 27316504      PMCID: PMC4911434          DOI: 10.1016/j.ihj.2015.07.004

Source DB:  PubMed          Journal:  Indian Heart J        ISSN: 0019-4832


  49 in total

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Authors:  P Brindle; A Beswick; T Fahey; S Ebrahim
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Review 5.  Early identification of cardiovascular risk using genomics and proteomics.

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Review 6.  Value and limitations of existing scores for the assessment of cardiovascular risk: a review for clinicians.

Authors:  Marie Therese Cooney; Alexandra L Dudina; Ian M Graham
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Authors:  Joshua S Benner; Spencer B Cherry; Leif Erhardt; Michèle Fernandes; Martina Flammer; Zbigniew Gaciong; Xavier Girerd; Eric S Johnson; Juan García-Puig; Miriam C J M Sturkenboom; William Sun
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8.  Cardiovascular risk and events in 17 low-, middle-, and high-income countries.

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10.  Comparative assessment of absolute cardiovascular disease risk characterization from non-laboratory-based risk assessment in South African populations.

Authors:  Thomas A Gaziano; Ankur Pandya; Krisela Steyn; Naomi Levitt; Willie Mollentze; Gina Joubert; Corinna M Walsh; Ayesha A Motala; Annamarie Kruger; Aletta E Schutte; Datshana P Naidoo; Dorcas R Prakaschandra; Ria Laubscher
Journal:  BMC Med       Date:  2013-07-24       Impact factor: 8.775

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2.  Does Adding Adverse Pregnancy Outcomes Improve the Framingham Cardiovascular Risk Score in Women? Data from the Tehran Lipid and Glucose Study.

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3.  Comparison of laboratory-based and non-laboratory-based WHO cardiovascular disease risk charts: a population-based study.

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9.  Agreement between Framingham, IraPEN and non-laboratory WHO-EMR risk score calculators for cardiovascular risk prediction in a large Iranian population.

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Review 10.  Tools for Assessing Cardiovascular Disease Risk Factors in Underserved Young Adult Populations: A Systematic Review.

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  10 in total

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