Diabetes: Which risk engines should be used to assess patients with diabetes?

Nature Reviews Endocrinology

Volumn 5, Issue 6, 2009, Pages 302-303

  Ray, Kausik K ^a,c   Sattar, Naveed ^b  

^a UNIVERSITY OF CAMBRIDGE   (United Kingdom)

^b UNIVERSITY OF GLASGOW   (United Kingdom)

^c UNIVERSITY OF CAMBRIDGE   (United Kingdom)

Author keywords

[No Author keywords available]

Indexed keywords

HEMOGLOBIN A1C; HYDROXYMETHYLGLUTARYL COENZYME A REDUCTASE INHIBITOR; LOW DENSITY LIPOPROTEIN CHOLESTEROL;

ALGORITHM; CARDIOVASCULAR DISEASE; DIABETES MELLITUS; DIAGNOSTIC ACCURACY; GLOMERULUS FILTRATION RATE; HIGH RISK POPULATION; HUMAN; INCIDENCE; MICROALBUMINURIA; PREDICTION; PRIMARY PREVENTION; PRIORITY JOURNAL; RISK ASSESSMENT; SHORT SURVEY; NON INSULIN DEPENDENT DIABETES MELLITUS; NOTE; PATHOPHYSIOLOGY; RISK FACTOR;

CARDIOVASCULAR DISEASES; DIABETES MELLITUS, TYPE 2; HUMANS; RISK FACTORS;

EID: 68949127217     PISSN: 17595029     EISSN: 17595037     Source Type: Journal    
DOI: 10.1038/nrendo.2009.100     Document Type: Short Survey

References (8)

1. Evans, J. M., Wang, J. & Morris, A. D. Comparison of cardiovascular risk between patients with type 2 diabetes and those who had had a myocardial infarction: cross sectional and cohort studies. BMJ 324, 939-942 (2002).
2. Ruggenenti, P. et al. Preventing microalbuminuria in type 2 diabetes. N. Engl. J. Med. 351, 1941-1951 (2004).
3. Kahn, S. E. et al. Glycemic durability of rosiglitazone, metformin, or glyburide monotherapy. N. Engl. J. Med. 355, 2427-2443 (2006).
4. Buse, J. B. et al. Primary prevention of cardiovascular diseases in people with diabetes mellitus: a scientific statement from the American Heart Association and the American Diabetes Association. Circulation 115, 114-126 (2007).
5. Price, H. C., Coleman, R. L., Stevens, R. J. & Holman, R. R. Impact of using a non-diabetes-specific risk calculator on eligibility for statin therapy in type 2 diabetes. Diabetologia 52, 394-397 (2009).
6. Grundy, S. M. et al. implications of recent clinical trials for the national Cholesterol education Program Adult Treatment Panel iii guidelines. Circulation 110, 227-239 (2004).
7. Simmons, R. K. et al. Performance of the UK Prospective Diabetes study Risk engine and the Framingham Risk equations in estimating cardiovascular disease in the ePiC-norfolk cohort. Diabetes Care 32, 708-713 (2009).
8. emerging Risk Factors Collaboration et al. The emerging Risk Factors Collaboration: analysis of individual data on lipid, inflammatory and other markers in over 1.1 million participants in 104 prospective studies of cardiovascular diseases. Eur. J. Epidemiol. 22, 839-869 (2007).