Literature DB >> 15691452

[Variability in the calculation of coronary risk in type-2 diabetes mellitus].

J Jimeno Mollet1, N Molist Brunet, J Franch Nadal, V Serrano Borraz, L Serrano Barragán, R Gracia Giménez.   

Abstract

OBJECTIVE: To determine the concordance and predictive capacity of various methods for calculating coronary risk in diabetic patients.
DESIGN: Prospective study of cohorts, with a 10-year follow-up.
SETTING: Urban health centre in a socially depressed area, with high prevalence of DM2. PARTICIPANTS: Population diagnosed with type-2 diabetes mellitus in 1991-93 (112 individuals, with an average age of 66.7+/-11.6 years, 59% of whom were male). MAIN MEASUREMENTS: At the moment of diagnosis, the parameters normally used to calculate coronary risk were determined. The tables of the Framingham scale '91 and '98, of the United Kingdom Prospective Study (UKPDS) (based on an exclusively diabetic population) and of the REgistre GIroni del COr (REGICOR-Girona Heart Register) (based on a Mediterranean population) were each used to calculate individually coronary risk at 10 years. The coronary events suffered in the 10 years following DM2 diagnosis were recorded. The Kappa indices for concordance of the tables and their predictive capacity were calculated.
RESULTS: 18.2% of men and 15.2% of women suffered some coronary event. The coronary risk calculations were, for men and women, 30%-20% (Framingham '91), 36%-21% (Framingham '98), 38%-23% (UKPDS), and 15%-10% (REGICOR).
CONCLUSIONS: The various methods for calculating coronary risk in diabetics suffer large variability. We should highlight their low diagnostic value in individual cases, with sensitivities of 25%-75% and low specificity (mainly in men) regarding real risk of coronary disease.

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Year:  2005        PMID: 15691452     DOI: 10.1157/13071042

Source DB:  PubMed          Journal:  Aten Primaria        ISSN: 0212-6567            Impact factor:   1.137


  4 in total

1.  Assessing Framingham cardiovascular risk scores in subjects with diabetes and their correlation with diabetic retinopathy.

Authors:  Deepali R Damkondwar; Rajiv Raman; G Suganeswari; Vaitheeswaran Kulothungan; Tarun Sharma
Journal:  Indian J Ophthalmol       Date:  2012 Jan-Feb       Impact factor: 1.848

2.  Family physician and endocrinologist coordination as the basis for diabetes care in clinical practice.

Authors:  Alejandra Duran; Isabelle Runkle; Pilar Matía; Maria P de Miguel; Sofia Garrido; Emilio Cervera; Maria D Fernandez; Pilar Torres; Tomas Lillo; Patricia Martin; Lucio Cabrerizo; Nuria Garcia de la Torre; Jose R Calle; Jose Ibarra; Aniceto L Charro; Alfonso L Calle-Pascual
Journal:  BMC Endocr Disord       Date:  2008-07-31       Impact factor: 2.763

3.  Comparison of different vascular risk engines in the identification of type 2 diabetes patients with high cardiovascular risk.

Authors:  Antonio Rodriguez-Poncelas; Gabriel Coll-de-Tuero; Marc Saez; José M Garrido-Martín; José M Millaruelo-Trillo; Joan Barrot de-la-Puente; Josep Franch-Nadal
Journal:  BMC Cardiovasc Disord       Date:  2015-10-13       Impact factor: 2.298

Review 4.  Cardiovascular risk assessment scores for people with diabetes: a systematic review.

Authors:  P Chamnan; R K Simmons; S J Sharp; S J Griffin; N J Wareham
Journal:  Diabetologia       Date:  2009-07-24       Impact factor: 10.122

  4 in total

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