Foudraine DE, et al. - Researchers evaluated the automated urinalysis (such as iQ200 analysis) in the clinical diagnosis of urinary tract infection (UTI). They performed a retrospective analysis of consecutive urine samples sent in for culture because of suspected UTI. They determined optimal cut-off values for iQ200 parameters (74 WBC/μL, 6250 "all small particles" per microliter (ASP/μL) and a bacteria score of 2 on an ordinal scale of 0 to 5) and used multivariate logistic regression analysis to identify the set of variables that best predict the clinical diagnosis of UTI for development of a scoring tool. The scoring tool attributed 1 point for frequent micturition or increased urge, 2 points for dysuria, 1 point for bacteria ≥ 2, 2 points for WBC/μL ≥ 50 and an additional point for WBC/μL ≥ 150. Outcomes revealed that the combination of iQ200 analysis and a simple survey has the potential for predicting or ruling out UTIs in a majority of patients in an academic medical center.