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Updated: May 11, 2025

An R-Based Landscape Validation of a Competing Risk Model
Published on: September 16, 2022
External Validation of SCORE2-Diabetes Risk Prediction Model in Chinese Patients with Diabetes
Zhangping Fu1, Peng Shen2, Jingyuan Liang1
1Department of Epidemiology and Biostatistics, Peking University, Beijing, China.
Aims:
The updated 2023 European Guideline recommended SCORE2-Diabetes to estimate cardiovascular disease (CVD) risk in patients with diabetes; however, external validation is lacking. The study aims to validate SCORE2-Diabetes in Chinese and assess its broader applicability and adaptability across diverse settings.
Methods And Results:
This study included patients with diabetes aged 40-90 without prior CVD from a population-based Chinese cohort. Ten-year CVD risk was calculated using the original and recalibrated SCORE2-Diabetes, where four sets of scaling factors for different risk regions were provided. The outcome was defined consistently with SCORE2-Diabetes. During a median follow-up of 7.09 years, 50,426 Chinese patients experienced 6,540 CVD events and 2,852 non-CVD deaths. The C-statistic of the SCORE2-Diabetes was 0.702 (95%CI: 0.691-0.713) in men and 0.726 (0.716-0.736) in women. The original SCORE2-Diabetes underestimated risk by 30% in men and 50% in women, whereas the recalibrated SCORE2-Diabetes using high-risk region scaling factor had the best calibration, overestimating risk by only 4% in men and underestimating by 7% in women. 14,501(28.76%) and 20,789(41.23%) patients were classified as very high (≥20%) and high (10-20%) risk categories, respectively. The significant difference between average baseline and targeted LDL-C was observed in the very high-risk group (2.85 vs. 1.40 mmol/L).
Conclusion:
With the appropriate selection of the scaling factor, SCORE2-Diabetes shows satisfactory discrimination and calibration in Chinese, indicating its good generalisability. According to the latest guideline, the risk assessment in this real-world population indicated a significant demand for medications with cardiovascular efficacy and a substantial burden for lipid management.
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