Department of Epidemiology, School of Public Health, University of Alabama at Birmingham, 35294, USA.
Am J Kidney Dis. 2011 Aug;58(2):196-205. doi: 10.1053/j.ajkd.2011.01.027. Epub 2011 May 26.
The prevalence of albuminuria in the general population is high, but awareness of it is low. Therefore, we sought to develop and validate a self-assessment tool that allows individuals to estimate their probability of having albuminuria.
Cross-sectional study.
SETTING & PARTICIPANTS: The population-based Reasons for Geographic and Racial Differences in Stroke (REGARDS) Study for model development and the National Health and Nutrition Examination Survey (NHANES) 1999-2004 for model validation. US adults 45 years or older in the REGARDS Study (n = 19,697) and NHANES 1999-2004 (n = 7,168).
Candidate items for the self-assessment tool were collected using a combination of interviewer- and self-administered questionnaires.
Albuminuria was defined as a urinary albumin to urinary creatinine ratio ≥30 mg/g in spot samples.
8 items were included in the self-assessment tool (age, race, sex, current smoking, self-rated health, and self-reported history of diabetes, hypertension, and stroke). These items provided a C statistic of 0.709 (95% CI, 0.699-0.720) and good model fit (Hosmer-Lemeshow χ(2)P = 0.49). In the external validation data set, the C statistic for discriminating individuals with and without albuminuria using the self-assessment tool was 0.714. Using a threshold of ≥10% probability of albuminuria from the self-assessment tool, 36% of US adults 45 years or older in NHANES 1999-2004 would test positive and be recommended for screening. Sensitivity, specificity, and positive and negative predictive values for albuminuria associated with a probability ≥10% were 66%, 68%, 23%, and 93%, respectively.
Repeated urine samples were not available to assess the persistency of albuminuria.
8 self-report items provide good discrimination for the probability of having albuminuria. This tool may encourage individuals with a high probability to request albuminuria screening.
白蛋白尿在普通人群中的患病率较高,但知晓率较低。因此,我们试图开发和验证一种自我评估工具,使个体能够估计自己患白蛋白尿的概率。
横断面研究。
基于人群的 Reasons for Geographic and Racial Differences in Stroke(REGARDS)研究用于模型建立,National Health and Nutrition Examination Survey(NHANES)1999-2004 用于模型验证。REGARDS 研究中年龄在 45 岁及以上的美国成年人(n=19697)和 NHANES 1999-2004(n=7168)。
自我评估工具的候选项目是通过结合访谈者和自我管理问卷收集的。
白蛋白尿定义为尿液白蛋白与尿液肌酐比值≥30mg/g 的随机样本。
自我评估工具包括 8 个项目(年龄、种族、性别、当前吸烟、自我报告的健康状况以及自我报告的糖尿病、高血压和中风病史)。这些项目提供了 0.709(95%CI,0.699-0.720)的 C 统计量和良好的模型拟合(Hosmer-Lemeshow χ(2)P=0.49)。在外部验证数据集,使用自我评估工具区分有和无白蛋白尿个体的 C 统计量为 0.714。使用自我评估工具≥10%的白蛋白尿概率阈值,NHANES 1999-2004 中 36%的 45 岁及以上的美国成年人将呈阳性并被推荐进行筛查。与概率≥10%相关的白蛋白尿的敏感性、特异性、阳性预测值和阴性预测值分别为 66%、68%、23%和 93%。
没有重复的尿液样本来评估白蛋白尿的持久性。
8 项自我报告项目对白蛋白尿发生的概率具有良好的区分能力。该工具可能会鼓励具有高概率的个体要求进行白蛋白尿筛查。