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Articles by A. Kong
Total Records ( 2 ) for A. Kong
  G. Ko , W. So , P. Tong , R. Ma , A. Kong , R. Ozaki , C. Chow , C. Cockram and J. Chan
  Aims To develop a simple scoring system for identifying Southern Chinese at risk of diabetes.
Methods The score was derived from a risk factor matching cohort for Type 2 diabetes in Hong Kong Chinese (cohort 1, 2448 subjects without a history of diabetes; age, mean ±  sd 37.2 ± 8.9 years, median 36.0 years; 1649 had risk factors for diabetes and 799 were age-matched control subjects from the community). Two other cohorts were used to validate the risk score (cohort 2, 3734 subjects with risk factors for diabetes; and cohort 3, 1513 participants of a community diabetes survey). All subjects had a 75 g oral glucose tolerance test (OGTT).
Results In cohort 1, 270 (11%) of the subjects were found to have diabetes on OGTT. A risk score system was derived using the β values of the corresponding predictors in the logistic regression analysis. The area under the curve (95% confidence intervals) of the score system was 0.735 (0.705, 0.765). The application of a risk score of ≥ 16 increased the detection rate 2.5–4 times in all three cohorts. A high post-test probability of diabetes of > 60% was derived from a risk score of ≥ 20. Only 10–20 and ∼5% with a score of ≥ 12 and ≥ 16, respectively, are indicated for OGTT. This will considerably improve the yield of OGTT screening.
Conclusions A simple risk score identifies young-to-middle-aged Southern Chinese at high risk for diabetes. Subjects with a score of 16 or above (out of 30) should undergo OGTT for definitive diagnosis of diabetes.
  J. Chan , W. So , G. Ko , P. Tong , X. Yang , R. Ma , A. Kong , R. Wong , F. Le Coguiec , B. Tamesis , T. Wolthers , G. Lyubomirsky and P. Chow
  Aims  The Joint Asia Diabetes Evaluation (JADE) Program is the first web-based program incorporating a comprehensive risk engine, care protocols, clinical decision and self-management support to improve ambulatory diabetes care. The aim was to validate the risk stratification system of the JADE Program using a large prospective cohort.

Methods  The JADE interactive risk engine stratifies patients into different risk levels using results from an annual comprehensive assessment of complications and risk factors. We used a prospective registry consisting of 7534 Type 2 diabetic patients [45.6% men, median (range) age 57 years (13-92)] to perform internal validation of the risk engine.

Results  The JADE Risk Engine categorized patients into four risk levels (from low to high): level 1, n = 4520 (6%); level 2, n = 1468 (19.5%); level 3, n = 4476 (59.4%); and level 4, n = 1138 (15.1%). After a median follow-up period of 5.5 years (mean ± sd 5.4 ± 2.81 years), 763 (10.1%) died, 1129 (14.9%) developed cardiovascular disease (CVD), 282 (3.7%) developed end-stage renal disease and 1400 (18.6%) had at least one of these events. Compared with risk level 1, levels 2, 3 and 4 were associated with 2.8-, 4.7- and 8.6-fold increased risk of clinical end-points. Risk levels 3 and 4 were, respectively, associated with 2.2- and 3.9-fold increased risk for all-cause death and 4.8- and 12.1-fold increased CVD risks.

Conclusion  Based on results from a comprehensive assessment, the JADE Risk Engine successfully categorizes patients into different risk levels to guide clinical management.

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