2021
DOI: 10.1016/j.ejim.2021.03.010
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Influence of gender on the performance of urine dipstick and automated urinalysis in the diagnosis of urinary tract infections at the emergency department

Abstract: 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)… Show more

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Cited by 11 publications
(8 citation statements)
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“…This could explain the comparatively low specificity and NPV of 54.5 and 42.9 % in participants below 18 years. Dipstick screening was more sensitive in female patients (66.0%) but more specific in males (82.2%), and similar results have been noted in previous studies [12,23].…”
Section: Discussionsupporting
confidence: 89%
“…This could explain the comparatively low specificity and NPV of 54.5 and 42.9 % in participants below 18 years. Dipstick screening was more sensitive in female patients (66.0%) but more specific in males (82.2%), and similar results have been noted in previous studies [12,23].…”
Section: Discussionsupporting
confidence: 89%
“…First, we observe a performance gap between the female and male subgroups when investigating the model’s performance across patient subgroups. This gap has been identified by other clinical studies for urine dipstick tests, where the diagnostic accuracy of urine dipstick has been found to be higher in males than in females [ 52 ]. On the other hand, another study observes a higher performance of an XGboost model in the prediction of suspected urinary tract infections in the emergency department within the female subgroup [ 53 ].…”
Section: Discussionmentioning
confidence: 93%
“…On the other hand, another study observes a higher performance of an XGboost model in the prediction of suspected urinary tract infections in the emergency department within the female subgroup [ 53 ]. This suggests that future work can focus on the development of fairer models across females and males [ 52 ].…”
Section: Discussionmentioning
confidence: 99%
“…Despite this, women receive less evidence-based medicine than men for the management of their urinary system [142]. For diagnosis, urine dipsticks give more false positives in women (8.7%) than in men (5.6%) [143]. The performance of automated urinalysis is better for men than for women [143].…”
Section: The Urinary System: a Well-known Differencementioning
confidence: 99%
“…For diagnosis, urine dipsticks give more false positives in women (8.7%) than in men (5.6%) [143]. The performance of automated urinalysis is better for men than for women [143].…”
Section: The Urinary System: a Well-known Differencementioning
confidence: 99%