Adhikari Prabha, Pathak Rahul, Kotian Shashidhar
Selection Grade Lecturer in Biostatistics, Kasturba Medical College, Mangalore 575001.
J Assoc Physicians India. 2010 Jul;58:434-6.
To validate the MDRF-Indian Diabetes Risk Score (IDRS) in a south Indian population in coastal Karnataka.
The study was conducted at Boloor locality in Mangalore on adults aged 20 years or more. The study group comprised 551 participants (68.9% response rate). The OGTT was performed using 75 gms of glucose. The MDRF-IDRS was calculated using age, family history of diabetes, physical activity and waist measurement. ROC curves were constructed to identify the optimum value (> or = 60%) of IDRS for determining diabetes as diagnosed using WHO consulting group criteria.
We found that 71 of the study individuals were known diabetic subjects (KD) while 45 subjects were diagnosed to have newly diagnosed diabetes (NDD). An IDRS score of > or =60 had the best sensitivity (62.2%) and specificity of (73.7%) for detecting undiagnosed diabetes in this community.
Our study confirms and validates the MDRF-IDRS as being a valid simple and reliable screening tool to identify undiagnosed diabetes in the community. The MDRF-IDRS score > or =60 had the highest sensitivity and specificity to identify undiagnosed diabetes.
在卡纳塔克邦沿海地区的南印度人群中验证多维度风险评分-印度糖尿病风险评分(IDRS)。
该研究在芒格洛尔的博洛尔地区对20岁及以上的成年人进行。研究组包括551名参与者(应答率为68.9%)。采用75克葡萄糖进行口服葡萄糖耐量试验(OGTT)。使用年龄、糖尿病家族史、身体活动和腰围计算MDRF-IDRS。构建ROC曲线以确定IDRS用于诊断糖尿病的最佳值(≥60%),糖尿病诊断采用世界卫生组织咨询小组标准。
我们发现,研究对象中有71名已知糖尿病患者(KD),45名被诊断为新诊断糖尿病(NDD)。IDRS评分≥60对该社区未诊断糖尿病的检测具有最佳敏感性(62.2%)和特异性(73.7%)。
我们的研究证实并验证了MDRF-IDRS是一种有效、简单且可靠地识别社区中未诊断糖尿病的筛查工具。IDRS评分≥60对识别未诊断糖尿病具有最高的敏感性和特异性。