Impact of UKPDS risk estimation added to a first subjective risk estimation on management of coronary disease risk in type 2 diabetes - An observational study

Anne E. Wind, Kees J. Gorter, Maureen Van Den Donk, Guy E H M Rutten*

*Corresponding author for this work

Research output: Contribution to journalArticleAcademicpeer-review

Abstract

Aims To investigate the impact of the UKPDS risk engine on management of CHD risk in T2DM patients. Methods Observational study among 139 GPS. Data from 933 consecutive patients treated with a maximum of two oral glucose lowering drugs, collected at baseline and after twelve months. GPS estimated the CHD risk themselves and afterwards they calculated this with the UKPDS risk engine. Under- and overestimation were defined as a difference >5 percentage points difference between both calculations. The impact of the UKPDS risk engine was assessed by measuring differences in medication adjustments between the over-, under- and accurately estimated group. Results In 42.0% the GP accurately estimated the CHD risk, in 32.4% the risk was underestimated and in 25.6% overestimated. Mean difference between the estimated (18.7%) and calculated (19.1%) 10 years CHD risk was -0.36% (95% CI -1.24 to 0.52). Male gender, current smoking and total cholesterol level were associated with underestimation. Patients with an subjectively underestimated CHD risk received significantly more medication adjustments. Their UKPDS 10 year CHD risk did not increase during the follow-up period, contrary to the other two groups of patients. Conclusions The UKPDS risk engine may be of added value for risk management in T2DM.

Original languageEnglish
Pages (from-to)27-35
Number of pages9
JournalPrimary Care Diabetes
Volume10
Issue number1
DOIs
Publication statusPublished - 1 Feb 2016

Keywords

  • Cardiovascular risk management
  • Diabetes mellitus
  • Risk assessment
  • Type 2
  • UKPDS risk engine

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