title: Agreement between Framingham Risk Score and United Kingdom Prospective Diabetes Study Risk Engine in Identifying High Coronary Heart Disease Risk in North Indian Population.
abstract: BACKGROUND
  The aim of the study is to evaluate the concurrence between Framingham Risk score (FRS) and United Kingdom Prospective Diabetes Study (UKPDS) risk engine in identifying coronary heart disease (CHD) risk in newly detected diabetes mellitus patients and to explore the characteristics associated with the discrepancy between them.
  
  
  METHODS
  A cross-sectional study involving 489 subjects newly diagnosed with type 2 diabetes mellitus was conducted. Agreement between FRS and UKPDS in classifying patients as high risk was calculated using kappa statistic. Subjects with discrepant scores between two algorithms were identified and associated variables were determined.
  
  
  RESULTS
  The FRS identified 20.9% subjects (range, 17.5 to 24.7) as high-risk while UKPDS identified 21.75% (range, 18.3 to 25.5) as high-risk. Discrepancy was observed in 17.9% (range, 14.7 to 21.7) subjects. About 9.4% had high risk by UKPDS but not FRS, and 8.6% had high risk by FRS but not UKPDS. The best agreement was observed at high-risk threshold of 20% for both (κ=0.463). Analysis showed that subjects having high risk on FRS but not UKPDS were elderly females having raised systolic and diastolic blood pressure. Patients with high risk on UKPDS but not FRS were males and have high glycosylated hemoglobin.
  
  
  CONCLUSIONS
  The FRS and UKPDS (threshold 20%) identified different populations as being at high risk, though the agreement between them was fairly good. The concurrence of a number of factors (e.g., male sex, low high density lipoprotein cholesterol, and smoking) in both algorithms should be regarded as increasing the CHD risk. However, longitudinal follow-up is required to form firm conclusions.
authors: Department of Pharmacy Practice, National Institute of Pharmaceutical Education and Research, Mohali, India.
authors: Dipika
authors: D
authors: Bansal
authors: Department of Pharmacy Practice, National Institute of Pharmaceutical Education and Research, Mohali, India.
authors: Ramya S R
authors: RS
authors: Nayakallu
authors: Department of Pharmacy Practice, National Institute of Pharmaceutical Education and Research, Mohali, India.
authors: Kapil
authors: K
authors: Gudala
authors: Department of Pharmacy Practice, National Institute of Pharmaceutical Education and Research, Mohali, India.
authors: Rajavikram
authors: R
authors: Vyamasuni
authors: Department of Endocrinology, Postgraduate Institute of Medical Education and Research, Chandigarh, India.
authors: Anil
authors: A
authors: Bhansali
keywords: Coronary heart disease; Diabetes mellitus; Predictive value of tests; Risk assessment