title: Development and validation of a self-assessment tool for albuminuria: results from the Reasons for Geographic and Racial Differences in Stroke (REGARDS) Study.
abstract: BACKGROUND
  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.
  
  
  METHODS
  Cross-sectional study.
  
  
  METHODS
  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).
  
  
  METHODS
  Candidate items for the self-assessment tool were collected using a combination of interviewer- and self-administered questionnaires.
  
  
  RESULTS
  Albuminuria was defined as a urinary albumin to urinary creatinine ratio ≥30 mg/g in spot samples.
  
  
  RESULTS
  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.
  
  
  CONCLUSIONS
  Repeated urine samples were not available to assess the persistency of albuminuria.
  
  
  CONCLUSIONS
  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.
authors.affiliation: Department of Epidemiology, School of Public Health, University of Alabama at Birmingham, 35294, USA. pmuntner@uab.edu
authors.forename: Paul
authors.initials: P
authors.lastname: Muntner
authors.forename: Mark
authors.initials: M
authors.lastname: Woodward
authors.forename: April P
authors.initials: AP
authors.lastname: Carson
authors.forename: Suzanne E
authors.initials: SE
authors.lastname: Judd
authors.forename: Emily B
authors.initials: EB
authors.lastname: Levitan
authors.forename: Devin M
authors.initials: DM
authors.lastname: Mann
authors.forename: William
authors.initials: W
authors.lastname: McClellan
authors.forename: David G
authors.initials: DG
authors.lastname: Warnock
mesh_terms: D000419:Albuminuria / Q000175:diagnosis*; D003430:Cross-Sectional Studies; D005260:Female; D006801:Humans; D008297:Male; D008875:Middle Aged; D012647:Self-Assessment; D012680:Sensitivity and Specificity; D011795:Surveys and Questionnaires