Literature DB >> 17064808

Cardiovascular disease risk in subjects with type 2 diabetes mellitus in a population in southern Spain.

Blanca Lahoz-Rallo1, Manuel Blanco-Gonzalez, Inmaculada Casas-Ciria, Jose Alberto Marín-Andrade, Juan Carlos Mendez-Segovia, Guillermo Moratalla-Rodriguez, Rafael Quintero-Dominguez, Manuel Ramirez-Raya, Maria Jose Guerrero-Pinedo, Manuel Aguilar-Diosdado.   

Abstract

To calculate overall 10-year cardiovascular disease (CVD) risk for patients with type 2 diabetes we applied the UKPDS and SCORE prediction models to data derived from clinical notes of 1846 patients (mean age 65.5 years; 55.8% women) with type 2 diabetes attending eight Primary-Care Centres serving a catchment population of 200,000 citizens in Andalusia. The results showed obesity and high blood pressure present in >50%, established CVD in 24%, retinopathy in 30%, and nephropathy in 17%. Mean HbAlc level was 7.3%. Compliance with therapeutic goals was 54% for systolic blood pressure <130 mmHg, 39% for HbA1c <7% and 9% for LDL cholesterol <2.58 mmol/L. Approximately 33% were receiving treatment with metformin, statins, renin-angiotensin system inhibitors and anti-aggregation agents. UKPDS risk for coronary heart disease (CHD) was 23% and 16% for stroke. The SCORE 10-year mortality risk was 5%. Correlation coefficient between the two models predicting CVD risk was 0.68 (p<0.001). We conclude that, despite the European consensus that CVD is low in Mediterranean countries, the CVD risk factors in the type 2 diabetes sub-population in southern Spain is relatively high. Specific measures of health-care intervention are needed if CVD-associated morbido-mortality rates in these diabetic patients are to be reduced.

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Year:  2006        PMID: 17064808     DOI: 10.1016/j.diabres.2006.09.028

Source DB:  PubMed          Journal:  Diabetes Res Clin Pract        ISSN: 0168-8227            Impact factor:   5.602


  5 in total

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5.  Predicting the risk of stroke among patients with type 2 diabetes: a systematic review and meta-analysis of C-statistics.

Authors:  Mohammad Ziaul Islam Chowdhury; Fahmida Yeasmin; Doreen M Rabi; Paul E Ronksley; Tanvir C Turin
Journal:  BMJ Open       Date:  2019-08-30       Impact factor: 2.692

  5 in total

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