S1 Dataset -

Background
This study evaluated the diagnostic accuracy of the Modified Finnish Diabetes Risk Score (Modified FINDRISC) for detecting individuals with metabolic syndrome in Indonesia.
Methods
A dataset from the 2018 Indonesian National Basic Health Survey was analysed, and cases of metabolic syndrome were identified in accordance with both National Cholesterol Education Program Adult Treatment Panel III (NCEP-ATP III) and International Diabetes Federation (IDF) guidelines. Diagnostic accuracy of the Modified FINDRISC tool was evaluated using the Area Under the Receiver Operating Characteristic (AUC) curve, while optimal cut-off scores were determined by Youden’s Index.
Results
From 25,432 participants, the mean and standard deviation of the Modified FINDRISC score was 5.7 (SD 4.1). The prevalence of metabolic syndrome was 32.1% and 24.8% based on NCEP-ATP III and IDF criteria, respectively. Based on NCEP-ATP III criteria alone, the AUC of the Modified FINDRISC was 80.9% (80.3%-81.5%) with 74.0% sensitivity and 75.5% specificity. Similarly, based on IDF criteria, AUC was 88.9% (88.5%-89.3%) with 89.8% sensitivity and 75.8% specificity. The optimal cut-off score was 6 for both criteria, with 41.2% of the total participants above the cut-off who would require further confirmation tests.
Conclusion
Metabolic syndrome is prevalent in Indonesia, and the Modified FINDRISC tool offers good diagnostic accuracy for detecting such cases. Utilising Modified FINDRISC as a first-instance screening modality will reduce the number of people requiring further confirmation tests. Modified FINDRISC has the potential for use in daily clinical practice, and the cost-effectiveness of Modified FINDRISC should be further evaluated.

研究背景
本研究评估了改良芬兰糖尿病风险评分（Modified Finnish Diabetes Risk Score, Modified FINDRISC）在印度尼西亚人群中检测代谢综合征（metabolic syndrome）的诊断准确性。
研究方法
本研究对2018年印度尼西亚全国基本健康调查的数据集展开分析，并分别参照美国国家胆固醇教育计划成人治疗组第三次指南（National Cholesterol Education Program Adult Treatment Panel III, NCEP-ATP III）与国际糖尿病联盟（International Diabetes Federation, IDF）的标准判定代谢综合征病例。采用受试者工作特征曲线下面积（Area Under the Receiver Operating Characteristic, AUC）评估改良FINDRISC工具的诊断准确性，并通过尤登指数（Youden’s Index）确定最佳截断值。
研究结果
本研究共纳入25432名受试者，其改良FINDRISC评分的均值为5.7，标准差为4.1。依据NCEP-ATP III与IDF标准判定的代谢综合征患病率分别为32.1%与24.8%。仅以NCEP-ATP III标准为参照时，改良FINDRISC的AUC为80.9%（80.3%~81.5%），灵敏度为74.0%，特异度为75.5%。以IDF标准为参照时，改良FINDRISC的AUC为88.9%（88.5%~89.3%），灵敏度为89.8%，特异度为75.8%。两种标准下的最佳截断值均为6分，共有41.2%的受试者评分高于该截断值，需接受进一步的确诊检测。
研究结论
印度尼西亚人群中代谢综合征患病率较高，改良FINDRISC工具对该病症的检测具备良好的诊断准确性。将改良FINDRISC作为初筛手段，可减少需接受进一步确诊检测的人群规模。改良FINDRISC具有在日常临床实践中应用的潜力，其成本效益仍有待进一步评估。