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Literature DB >> 19952326

Challenges to improve coronary heart disease risk assessment.

Peter W F Wilson.

Abstract

Entities: Disease

Mesh：

Year: 2009 PMID： 19952326 DOI： 10.1001/jama.2009.1765

Source DB: PubMed Journal: JAMA ISSN： 0098-7484 Impact factor: 56.272

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8 in total

1. Development of a cardiovascular risk score for use in low- and middle-income countries.

Authors: Stella Aslibekyan; Hannia Campos; Eric B Loucks; Crystal D Linkletter; Jose M Ordovas; Ana Baylin
Journal: J Nutr Date: 2011-05-11 Impact factor: 4.798

2. Comparison of the Framingham Heart Study hypertension model with blood pressure alone in the prediction of risk of hypertension: the Multi-Ethnic Study of Atherosclerosis.

Authors: Paul Muntner; Mark Woodward; Devin M Mann; Daichi Shimbo; Erin D Michos; Roger S Blumenthal; April P Carson; Haiying Chen; Donna K Arnett
Journal: Hypertension Date: 2010-05-03 Impact factor: 10.190

Review 3. Leveraging information from genetic risk scores of coronary atherosclerosis.

Authors: Themistocles L Assimes; Elias L Salfati; Liana C Del Gobbo
Journal: Curr Opin Lipidol Date: 2017-04 Impact factor: 4.776

4. Delivery of a small for gestational age infant and greater maternal risk of ischemic heart disease.

Authors: Radek Bukowski; Karen E Davis; Peter W F Wilson
Journal: PLoS One Date: 2012-03-14 Impact factor: 3.240

5. The PRONE score: an algorithm for predicting doctors' risks of formal patient complaints using routinely collected administrative data.

Authors: Matthew J Spittal; Marie M Bismark; David M Studdert
Journal: BMJ Qual Saf Date: 2015-04-08 Impact factor: 7.035

Challenges to improve coronary heart disease risk assessment.

1. Development of a cardiovascular risk score for use in low- and middle-income countries.

2. Comparison of the Framingham Heart Study hypertension model with blood pressure alone in the prediction of risk of hypertension: the Multi-Ethnic Study of Atherosclerosis.

Review 3. Leveraging information from genetic risk scores of coronary atherosclerosis.

4. Delivery of a small for gestational age infant and greater maternal risk of ischemic heart disease.

5. The PRONE score: an algorithm for predicting doctors' risks of formal patient complaints using routinely collected administrative data.

6. The probable role of cytomegalovirus in acute myocardial infarction.

Review 7. Metabolic biomarkers for predicting cardiovascular disease.

Review 8. Genetic Markers for Coronary Artery Disease.