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Diabetes Care 30:65-70, 2007
DOI: 10.2337/dc06-1273
© 2007 by the American Diabetes Association
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Emerging Treatments and Technologies
Original Article

Development and Validation of Stroke Risk Equation for Hong Kong Chinese Patients With Type 2 Diabetes

The Hong Kong Diabetes Registry

Xilin Yang, PHD1, Wing-Yee So, FRCP1, Alice P.S. Kong, FRCP1,2, Chung-Shun Ho, PHD3, Christopher W.K. Lam, PHD1,3, Richard J. Stevens, PHD4,5, Ramon R. Lyu, PHD6, Donald D. Yin, PHD6, Clive S. Cockram, MD1, Peter C.Y. Tong, PHD1, Vivian Wong, MD7 and Juliana C.N. Chan, MD1

1 Department of Medicine and Therapeutics, The Chinese University of Hong Kong, Hong Kong, China
2 Li Ka Shing Institute of Health Sciences, The Chinese University of Hong Kong, Hong Kong, China
3 Department of Chemical Pathology, The Chinese University of Hong Kong, Hong Kong, China
4 Oxford Centre for Diabetes, Endocrinology, and Metabolism, University of Oxford, Oxford, U.K.
5 Nuffield Department of Clinical Medicine, University of Oxford, Oxford, U.K.
6 Worldwide Outcomes Research, Merck & Co., Inc., Whitehouse Station, New Jersey
7 Hospital Authority Head Office, Hong Kong, China

Address correspondence and reprint requests to Professor Juliana C.N. Chan, Department of Medicine and Therapeutics, The Chinese University of Hong Kong, The Prince of Wales Hospital, Shatin, NT, Hong Kong SAR, China. E-mail: jchan{at}cuhk.edu.hk

OBJECTIVE—We sought to develop stroke risk equations for Chinese patients with type 2 diabetes in Hong Kong.

RESEARCH DESIGN AND METHODS—A total of 7,209 Hong Kong Chinese type 2 diabetic patients without a history of stroke at baseline were analyzed. The data were randomly and evenly divided into the training subsample and the test subsample. In the training subsample, stepwise Cox models were used to develop the risk equation. Validation of the U.K. Prospective Diabetes Study (UKPDS) stroke risk engine and the current stroke equation was performed in the test dataset. The life-table method was used to check calibration, and the area under the receiver operating characteristic curve (aROC) was used to check discrimination.

RESULTS—A total of 372 patients developed incident stroke during a median of 5.37 years (interquartile range 2.88–7.78) of follow-up. Age, A1C, spot urine albumin-to-creatinine ratio (ACR), and history of coronary heart disease (CHD) were independent predictors. The performance of the UKPDS stroke engine was suboptimal in our cohort. The newly developed risk equation defined by these four predictors had adequate performance in the test subsample. The predicted stroke-free probability by the current equation was within the 95% CI of the observed probability. The aROC was 0.77 for predicting stroke within 5 years. The risk score was computed as follows: 0.0634 x age (years) + 0.0897 x A1C + 0.5314 x log10 (ACR) (mg/mmol) + 0.5636 x history of CHD (1 if yes). The 5-year stroke probability can be calculated by: 1 – 0.9707EXP (Risk Score – 4.5674).

CONCLUSIONS—Although the risk equation performed reasonably well in Chinese type 2 diabetic patients, external validation is required in other populations.

Abbreviations: ACR, albumin-to-creatinine ratio • ARB, angiotensin II receptor blocker • aROC, area under the receiver operating characteristic curve • CHD, coronary heart disease • eGFR, estimated glomerular filtration rate • SBP, systolic blood pressure • UKPDS, U.K. Prospective Diabetes Study


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