Risk scores in ischaemic heart disease patients with type 2 diabetes, Isfahan, Iran.

摘要

OBJECTIVE: The aim of this study was to determine a simple risk score for undiagnosed ischaemic heart disease (IHD) in patients with type 2 diabetes. METHODS: A sample of 2101 patients was taken from case records of diabetic patients held by the Isfahan Endocrine and Metabolism Research Centre outpatient clinic.The study was performed cross-sectionally. The following risk factors were analysed for developing a risk score among the patients: sex, age, duration of diabetes, body mass index, blood pressure, glycosylated haemoglobin, fasting blood sugar, cholesterol, triglycerides and smoking.A logistic regression model was used to compute the odds ratio (OR) for risk factors for diagnosed IHD. ORs of the models were used to assign a score value for each variable and the composite diabetes risk score was calculated as the sum of those scores. RESULTS: 66% of patients were women and 36.8% patients had IHD. ROC curves were constructed to identify the optimum discriminator (> or = 54 from 100) of diabetic patients for determining IHD. Sensitivity and specificity for predicting IHD were calculated for different cut-off scores. The sensitivity and specificity for IHD were around 64% and 57%, respectively. CONCLUSION: The present study focused on predicting ischaemic heart diseases in type 2 diabetes from factors that are easy to measure with non-invasive methods known to be associated with risk of IHD, using a risk score.