Comparative analysis of bacteriuria results on routine urinalysis and urine culture: a retrospective study

Author:

Monteiro Ana Clara Moreira PessôaORCID,Veado Julio Cèsar CambraiaORCID,Mantovani Matheus MatioliORCID,Wenceslau Raphael RochaORCID,Dorneles Nathália das Graças CoelhoORCID,Muniz Felipe dos SantosORCID,Favato Juliana AiresORCID,Val Adriane Pimenta da CostaORCID

Abstract

Bacterial urinary tract infections (UTI) are among the most frequent infectious diseases of small animals. Although antimicrobial therapy is recommended for treating bacterial UTIs, the current consensus is that treatment may not be necessary for asymptomatic animals. The aim of this study was to evaluate the diagnostic ability of urinalysis to detect bacteriuria and to compare it with urine culture (gold standard method) to assess the risk of false-positive results. A retrospective study was conducted from January 2016 to July 2019 and urine samples of 119 dogs were analyzed. Diagnostic validation was performed for urinalysis, based on the morphological classification and intensity of bacteriuria. Agreement between the results was assessed using the kappa (k) index. When the presence of cocci was used as a diagnostic criterion to suggest bacteriuria, it was observed that the agreement (k = -0.006) was lower than that expected by chance. However, a poor agreement (k = 0.22) was also found for bacilli during urinalysis (k = 0.23). A significant degree of agreement was observed in cases with high intensity of bacteriuria. Therefore, urine culture must be performed for conclusive evidence of bacteriuria to avoid false-positive results during urinalysis.

Publisher

Research, Society and Development

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3