Literature DB >> 21373738

Review of tools of cardiovascular disease risk stratification: interpretation, customisation and application in clinical practice.

Y C Chia1.   

Abstract

Cardiovascular Disease (CVD) is the leading cause of death in both developed and developing countries. While it is relatively easy to identify those who are obviously at high risk and those at the lowest risk for CVD, it is often the large group of individuals with what appears to be modestly abnormal risk factors who contributes most to the burden of CVD. This is where estimation of CVD risk is necessary. Many tools for risk assessment have been devised. All these risk scores have their own inherent advantages and disadvantages. Furthermore, they may also not be directly applicable to a local population. Ideally, each country should have its own risk score that takes into account other factors as well. In the interim, it is worthwhile to be familiar with one of these scores, select one that is most appropriate for your patient and discuss treatment options based on the estimated risk.

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Year:  2011        PMID: 21373738

Source DB:  PubMed          Journal:  Singapore Med J        ISSN: 0037-5675            Impact factor:   1.858


  10 in total

Review 1.  Consensus statement on management of dyslipidemia in Indian subjects.

Authors:  K Sarat Chandra; Manish Bansal; Tiny Nair; S S Iyengar; Rajeev Gupta; Subhash C Manchanda; P P Mohanan; V Dayasagar Rao; C N Manjunath; J P S Sawhney; Nakul Sinha; A K Pancholia; Sundeep Mishra; Ravi R Kasliwal; Saumitra Kumar; Unni Krishnan; Sanjay Kalra; Anoop Misra; Usha Shrivastava; Seema Gulati
Journal:  Indian Heart J       Date:  2014-12-24

2.  Comparative accuracy of different risk scores in assessing cardiovascular risk in Indians: a study in patients with first myocardial infarction.

Authors:  Manish Bansal; Ravi R Kasliwal; Naresh Trehan
Journal:  Indian Heart J       Date:  2014-11-10

Review 3.  Applicability of the Existing CVD Risk Assessment Tools to Type II Diabetics in Oman: A Review.

Authors:  Abdulhakeem Al-Rawahi; Patricia Lee
Journal:  Oman Med J       Date:  2015-09

Review 4.  Risk assessment in the prevention of cardiovascular disease in low-resource settings.

Authors:  Sandra N Ofori; Osaretin J Odia
Journal:  Indian Heart J       Date:  2015-08-29

5.  Obstructive sleep apnea and risk of cardiovascular events and all-cause mortality: a decade-long historical cohort study.

Authors:  Tetyana Kendzerska; Andrea S Gershon; Gillian Hawker; Richard S Leung; George Tomlinson
Journal:  PLoS Med       Date:  2014-02-04       Impact factor: 11.069

6.  Does use of pooled cohort risk score overestimate the use of statin?: a retrospective cohort study in a primary care setting.

Authors:  Yook Chin Chia; Hooi Min Lim; Siew Mooi Ching
Journal:  BMC Fam Pract       Date:  2014-11-12       Impact factor: 2.497

7.  Validation of the pooled cohort risk score in an Asian population - a retrospective cohort study.

Authors:  Yook Chin Chia; Hooi Min Lim; Siew Mooi Ching
Journal:  BMC Cardiovasc Disord       Date:  2014-11-20       Impact factor: 2.298

8.  Validation of the Framingham general cardiovascular risk score in a multiethnic Asian population: a retrospective cohort study.

Authors:  Yook Chin Chia; Sarah Yu Weng Gray; Siew Mooi Ching; Hooi Min Lim; Karuthan Chinna
Journal:  BMJ Open       Date:  2015-05-19       Impact factor: 2.692

9.  Variation among cardiovascular risk calculators in relative risk increases with identical risk factor increases.

Authors:  G Michael Allan; Faeze Nouri; Christina Korownyk; Michael R Kolber; Ben Vandermeer; James McCormack
Journal:  BMC Res Notes       Date:  2015-09-07

10.  Use of Chronic Kidney Disease to Enhance Prediction of Cardiovascular Risk in Those at Medium Risk.

Authors:  Yook Chin Chia; Hooi Min Lim; Siew Mooi Ching
Journal:  PLoS One       Date:  2015-10-23       Impact factor: 3.240

  10 in total

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