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沙特阿拉伯 2 型糖尿病和糖调节受损的筛查:风险评分的制定和验证。

Screening for Type 2 Diabetes and Dysglycemia in Saudi Arabia: Development and Validation of Risk Scores.

机构信息

1 Ministry of Health , Riyadh, Kingdom of Saudi Arabia .

2 Emory University , Atlanta, Georgia , USA.

出版信息

Diabetes Technol Ther. 2015 Oct;17(10):693-700. doi: 10.1089/dia.2014.0267. Epub 2015 Jul 8.

Abstract

OBJECTIVE

The prevalence of type 2 diabetes in Saudi Arabia is the highest worldwide after excluding small island nations. We developed and validated a noninvasive screening test based on demographic and clinical data for identifying adults with undiagnosed diabetes and dysglycemia in Saudi Arabia.

RESEARCH DESIGN AND METHODS

Data from 1,485 nonpregnant Saudi adults ≥20 years of age without a current diagnosis of diabetes were obtained from urban and rural primary healthcare centers in 2009. Clinical and demographic data were obtained through physician-administered interviews. Oral glucose tolerance test data were used to define diabetes (fasting plasma glucose ≥7.0 mmol/L or 2-h post-load glucose ≥11.1 mmol/L) and dysglycemia (fasting plasma glucose ≥5.6 mmol/L or 2-h post-load glucose ≥7.8 mmol/L). Predictive models were developed using data from 1,435 individuals. Multivariable logistic regression and receiver operating characteristic curves were used to develop and evaluate a separate risk score for both diabetes and dysglycemia. Scores were validated on a hold-out sample of 50 individuals.

RESULTS

The risk score for undiagnosed diabetes contained age, history of gestational diabetes, smoking, family history of diabetes, and central obesity with a sensitivity of 76.6% and a specificity of 52.1%. The dysglycemia risk score contained age, gestational diabetes, hypertension, and central obesity with a sensitivity of 71.2% and a specificity of 54.0%. All performed equally well, if not better, in the hold-out sample.

CONCLUSIONS

These risk scores can identify Saudi adults with undiagnosed diabetes or dysglycemia and should be validated in prospective studies.

摘要

目的

在不包括小岛国家的情况下,沙特阿拉伯的 2 型糖尿病患病率是世界上最高的。我们开发并验证了一种基于人口统计学和临床数据的非侵入性筛查测试,用于识别沙特阿拉伯未确诊的糖尿病和糖调节受损成年人。

研究设计和方法

2009 年,从城市和农村初级保健中心获取了 1485 名年龄在 20 岁及以上、无当前糖尿病诊断的非妊娠沙特成年人的数据。通过医生进行的访谈获得临床和人口统计学数据。口服葡萄糖耐量试验数据用于定义糖尿病(空腹血糖≥7.0mmol/L 或负荷后 2 小时血糖≥11.1mmol/L)和糖调节受损(空腹血糖≥5.6mmol/L 或负荷后 2 小时血糖≥7.8mmol/L)。使用来自 1435 名个体的数据开发预测模型。使用多变量逻辑回归和受试者工作特征曲线开发和评估用于糖尿病和糖调节受损的单独风险评分。在 50 名个体的保留样本中验证评分。

结果

未确诊糖尿病的风险评分包含年龄、妊娠糖尿病史、吸烟、糖尿病家族史和中心性肥胖,敏感性为 76.6%,特异性为 52.1%。糖调节受损的风险评分包含年龄、妊娠糖尿病、高血压和中心性肥胖,敏感性为 71.2%,特异性为 54.0%。在保留样本中,所有评分的表现均相同或更好。

结论

这些风险评分可以识别出沙特阿拉伯未确诊的糖尿病或糖调节受损成年人,应在前瞻性研究中进行验证。

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