Chun-Chun Yang1, Stephen Shei-Dei Yang2,3, Hui-Ching Hung1, I-Ni Chiang4, Chiung-Hui Peng2,3, Shang-Jen Chang2,3. 1. Division of General Laboratory, Taipei Tzu Chi General Hospital, Buddhist Tzu Chi Medical Foundation, Taipei, Taiwan. 2. Division of Urology, Taipei Tzu Chi General Hospital, Buddhist Tzu Chi Medical Foundation, Taipei, Taiwan. 3. Medical College of Buddhist, Tzu Chi University, Hualien, Taiwan. 4. Department of Urology, National Taiwan University Hospital, Taipei, Taiwan.
Abstract
OBJECTIVES: To evaluate the ability of laser flow cytometry to predict cocci/mixed growth in the pre-analytical phase of urine specimens. METHODS: We retrospectively reviewed urine samples from women with uncomplicated urinary tract infections from urologic clinics for study. Urine analyses were performed with laser flow cytometry (UF1000i, Sysmex, Kobe, Japan) and then diagrams were generated (forward scatter vs. fluorescent light scatter). Each specimen (bacteria count >357 BACT/μL) was classified as either cocci bacteria or rods/mixed growth according to the diagrams. Standard urine cultures were performed, and the agreement between cultures and the UF1000i interpretations was analyzed with kappa statistics. RESULTS: Finally, 491 specimens met the criteria for analysis. Among the 376 specimens with single bacteria growth, there were 26 gram-positive cocci (13 Streptococci spp., 7 Staphylococci spp., 6 Enterococci spp.), 1 gram-positive rods (Corynebacterium spp.), and 349 gram-negative rods (273 Escherichia coli, 33 Klebsiella spp., 29 Proteus spp., 6 Citrobacter spp., 4 Enterobacter spp., 3 Pseudomonas spp., and 1 Providencia spp.). There were 115 specimens with two bacteria species or more that were regarded as mixed growth. Agreement of rods or cocci/mixed growth between the laser flow cytometry and urine cultures yielded a kappa value of 0.58. The positive and negative predictive rate of the UF1000i for cocci/mixed growth in voided urine culture was 81.8% and 84.7%, respectively. CONCLUSIONS: Through laser flow cytometry, we can predict growth of cocci/mixed growth in the pre-analytical phase of urine culture, thus avoiding unnecessary urine culture and waiting time.
OBJECTIVES: To evaluate the ability of laser flow cytometry to predict cocci/mixed growth in the pre-analytical phase of urine specimens. METHODS: We retrospectively reviewed urine samples from women with uncomplicated urinary tract infections from urologic clinics for study. Urine analyses were performed with laser flow cytometry (UF1000i, Sysmex, Kobe, Japan) and then diagrams were generated (forward scatter vs. fluorescent light scatter). Each specimen (bacteria count >357 BACT/μL) was classified as either cocci bacteria or rods/mixed growth according to the diagrams. Standard urine cultures were performed, and the agreement between cultures and the UF1000i interpretations was analyzed with kappa statistics. RESULTS: Finally, 491 specimens met the criteria for analysis. Among the 376 specimens with single bacteria growth, there were 26 gram-positive cocci (13 Streptococci spp., 7 Staphylococci spp., 6 Enterococci spp.), 1 gram-positive rods (Corynebacterium spp.), and 349 gram-negative rods (273 Escherichia coli, 33 Klebsiella spp., 29 Proteus spp., 6 Citrobacter spp., 4 Enterobacter spp., 3 Pseudomonas spp., and 1 Providencia spp.). There were 115 specimens with two bacteria species or more that were regarded as mixed growth. Agreement of rods or cocci/mixed growth between the laser flow cytometry and urine cultures yielded a kappa value of 0.58. The positive and negative predictive rate of the UF1000i for cocci/mixed growth in voided urine culture was 81.8% and 84.7%, respectively. CONCLUSIONS: Through laser flow cytometry, we can predict growth of cocci/mixed growth in the pre-analytical phase of urine culture, thus avoiding unnecessary urine culture and waiting time.
Authors: N Geerts; A R Jansz; K J M Boonen; R P W F Wijn; E L Koldewijn; A K Boer; V Scharnhorst Journal: Clin Chim Acta Date: 2015-06-26 Impact factor: 3.786
Authors: Mark T LaRocco; Jacob Franek; Elizabeth K Leibach; Alice S Weissfeld; Colleen S Kraft; Robert L Sautter; Vickie Baselski; Debra Rodahl; Edward J Peterson; Nancy E Cornish Journal: Clin Microbiol Rev Date: 2016-01 Impact factor: 26.132
Authors: Martin Müller; Nadine Sägesser; Peter M Keller; Spyridon Arampatzis; Benedict Steffens; Simone Ehrhard; Alexander B Leichtle Journal: Diagnostics (Basel) Date: 2022-04-16
Authors: Moritz Fritzenwanker; Marcel Oliver Grabitz; Borros Arneth; Harald Renz; Can Imirzalioglu; Trinad Chakraborty; Florian Wagenlehner Journal: Urol Int Date: 2021-12-29 Impact factor: 1.934
Authors: Martin Müller; Ruth Seidenberg; Sabine K Schuh; Aristomenis K Exadaktylos; Clyde B Schechter; Alexander B Leichtle; Wolf E Hautz Journal: PLoS One Date: 2018-02-23 Impact factor: 3.240