Age-Specific Cutoffs of the Sysmex UF-1000i Automated Urine Analyzer for Rapid Screening of Urinary Tract Infections in Outpatients
10.3343/alm.2019.39.3.322
- Author:
Hyunji KIM
1
;
Hye Ryoun KIM
;
Tae Hyoung KIM
;
Mi Kyung LEE
Author Information
1. Department of Laboratory Medicine, Chung-Ang University Hospital, Chung-Ang University College of Medicine, Seoul, Korea. cpworld@cau.ac.kr
- Publication Type:Brief Communication
- Keywords:
UF-1000i;
Urinary tract infection;
Age-specific cutoff;
Outpatients
- MeSH:
Anti-Bacterial Agents;
Bacteria;
Drug Resistance, Microbial;
Enterococcus;
Gram-Negative Bacteria;
Humans;
Klebsiella pneumoniae;
Leukocytes;
Mass Screening;
Medical Records;
Outpatients;
Retrospective Studies;
ROC Curve;
Urinary Tract Infections;
Urinary Tract
- From:Annals of Laboratory Medicine
2019;39(3):322-326
- CountryRepublic of Korea
- Language:English
-
Abstract:
We investigated the usefulness of age-specific cutoffs for screening of urinary tract infections (UTIs) in Korean outpatients, using the automated urine analyzer UF-1000i (Sysmex, Kobe, Japan). We retrospectively reviewed outpatient medical records. Urine samples of 7,443 outpatients from January 2010 to December 2017 were analyzed using urine culture and UF-1000i. ROC curves were calculated for each UF-1000i parameter based on the culture results. There were 1,398 culture positive samples, 5,774 culture negative samples, and 271 contaminated samples. UF-1000i had an area under the curve of ≥0.9 in outpatients >15 years. The appropriate cutoffs, which are the sum of bacterial (B-A-C) and white blood cell (WBC) counts, were 297.10/µL (15–24 years), 395.65/µL (25–44 years), 135.65/µL (45–64 years), 67.95/µL (65–74 years), and 96.5/µL (≥75 years). B-A-C and WBC counts differed among the three most frequently identified bacteria (Escherichia coli, Klebsiella pneumoniae, and Enterococcus faecalis). The UF-1000i system is useful for applying age-specific cutoffs to screen for UTIs, thereby preventing antibiotic abuse and reducing antibiotic resistance. Future studies can explore how its B-A-C and WBC counts can facilitate selection of empirical antibiotics by distinguishing between gram-positive and gram-negative bacteria.
