SCreening for Occult REnal Disease (SCORED) - A simple prediction model for chronic kidney disease
SCreening for Occult REnal Disease (SCORED) - A simple prediction model for chronic kidney disease
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DOI：
10.1001/archinte.167.4.374
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发表时间：
2007-02-26
影响因子：
--
通讯作者：
Kshirsagar, Abhijit V.
中科院分区：
文献类型：
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作者：
Bang, Heejung;Vupputuri, Suma;Kshirsagar, Abhijit V.
背景资料：尽管广泛的可用性和低成本的血清肌酐测量，高危人群没有常规测试慢性肾脏病（CKD）。方法：我们使用了一个具有全国代表性的横断面分析，以人口为基础的调查，开发一个系统，评分（SCreening隐匿性肾脏病），使用常规的人口和医疗信息，以确定个人慢性肾脏病的可能性增加。该分析包括1999年至2000年和2001年至2002年在美国进行的国家健康和营养检查调查的8530名成年参与者。慢性肾脏疾病定义为肾小球滤过率低于60 mL/min/1.73 m2。单变量和多变量之间的关联，一套全面的风险因素和CKD进行了检查，以开发一个预测模型。模型的最佳特性进行了检查与内部措施。使用社区动脉粥样硬化风险研究进行外部验证。结果：年龄（P
Background: Despite the wide availability and low cost of serum creatinine measurement, at-risk populations are not routinely tested for chronic kidney disease (CKD).Methods: We used a cross-sectional analysis of a nationally representative, population-based survey to develop a system, SCORED (SCreening for Occult REnal Disease), that uses routinely available demographic and medical information to identify individuals with an increased likelihood of CKD. The analysis included 8530 adult participants in the National Health and Nutrition Examination Surveys conducted from 1999 to 2000 and 2001 to 2002 in the United States. Chronic kidney disease was defined as a glomerular filtration rate less than 60 mL/min per 1.73 m(2). Univariate and multivariate associations between a comprehensive set of risk factors and CKD were examined to develop a prediction model. The optimal characteristics of the model were examined with internal measures. External validation was performed using the Atherosclerosis Risk in Communities study. A model-based numeric scoring system was developed.Results: Age (P