Influence of gender on the performance of urine dipstick and automated urinalysis in the diagnosis of urinary tract infections at the emergency department.

BACKGROUND: Urinary tract infections (UTIs) are frequently encountered at the Emergency Department (ED). Given the anatomical differences between men and women, we aimed to clarify differences in the diagnostic performance of urinary parameters at the ED. METHODS: A cohort study of adults presenting at the ED with fever and/or clinical suspected UTI. Performance of urine dipstick (UD) and automated urinalysis (UF-1000i) were analysed for the total study population and men and women separately. We focused on 1) UTI diagnosis and 2) positive urine culture (UC, ≥105 CFU/ml) as outcome. RESULTS: In 360 of 917 cases (39.3%) UTI was established (men/women 35.1%/43.6%). Diagnostic accuracy of UD was around 10% lower in women compared to men. Median automated leucocyte and bacterial count were higher in women compared to men. Diagnostic performance by receiver operating analysis was 0.851 for leucocytes (men/women 0.879/0.817) and 0.850 for bacteria (men/women 0.898/0.791). At 90% sensitivity, cut-off values of leucocyte count (men 60/µL, women 43/µL), and bacterial count (men 75/µL, women 139/µL) showed performance differences in favour of men. In both men and women, diagnostic performance using specified cut-off values was not different between normal and non-normal bladder evacuation. UC was positive in 327 cases (men/women 149/178), as with UTI diagnosis, diagnostic values in men outperformed women. CONCLUSIONS: Overall diagnostic accuracy of urinary parameters for diagnosing UTI is higher in men. The described differences in cut-off values for leukocyte and bacterial counts for diagnosing UTI necessitates gender-specific cut-off values, probably reflecting the influence of anatomical and urogenital differences.

Routine tests and automated urinalysis in patients with suspected urinary tract infection at the ED.

BACKGROUND: Urinary tract infections (UTIs) are frequently encountered. Diagnostics of UTI (urine dipstick, Gram stain, urine culture) lack proven accuracy and precision in the emergency department. Utility of automated urinalysis shows promise for UTI diagnosis but has not been validated. METHODS: A total of 381 cases presenting with fever and/or clinically suspected UTI were analyzed. Diagnosis was based on clinical presentation, urine culture and/ or blood culture, and successful treatment. Performance of standard diagnostics and automated urinalysis (Sysmex UF-1000i) was analyzed at various cutoff values, and diagnostic algorithms were tested. RESULTS: One hundred forty-three (37.5%) cases were diagnosed with UTI. Sensitivity of urine dipstick nitrite was 32.9% and specificity was 93.7%. Sensitivity of urine dipstick leukocyte esterase (3+) was 80.4% and specificity was 82.8%. Receiver operating characteristic curves of automated bacterial and leukocyte count showed area under the curve of 0.851 and 0.872, respectively. Cutoff values of 133 bacteria/µL and 48 leukocytes/µL resulted in >90% sensitivity. Diagnostic values for complicated cases (antibiotics, catheters) were inferior to uncomplicated cases. Algorithms combining dipstick and automated counts did not improve accuracy with the exception of a 5.2% increase in uncomplicated cases (n=247). CONCLUSIONS: Automated leukocyte and bacterial count can be used in the emergency department setting with comparable accuracy compared with standard dipstick analysis with minor improvement when combined.