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Correlation of Nitrite, Leucocyte Esterase and Protein Detection to Diagnosis of Urinary Tract Infections

机译:亚硝酸盐,白细胞酯酶和蛋白质检测与尿路感染诊断的相关性

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Aim: To determine the relationship between detection of nitrite, Leucocyte esterase (LE) and protein in urine and significant bacteriuria. Study Design: Cross-sectional descriptive study. Place and Duration of Study: Department of Medical Microbiology and Parasitology, University of Port Harcourt Teaching Hospital, between March and September 2015. Methodology: 240 urine samples were analyzed. Dipstick analysis using Combi-UriScreen 10SL reagent strips (Axiom Medical limited, UK) and culture for significant bacteriuria were performed according to manufacturer’s instruction/ using standard protocols. Data was coded, entered into Microsoft Excel ? version 2010 and analysed using Epi-Info version 7.02. Categorical data were presented as frequencies and percentages using tables. Univariate analysis using logistic regression (Odds Ratio) was used to determine the association between the presence of nitrite, LE and protein and significant bacterial yield in urine. A P -value of ≤ 0.05 was considered statistically significant. Likelihood ratios were calculated. Results: 23 (23.2%) out of 99 samples with significant bacteriuria were nitrite positive, while 42 (42.4%) and 45 (45.5%) were positive for leucocyte esterase and protein respectively. Nitrite ( P = 0.001, OR = 5.03, 95% CI = 2.02-12.93 ) and leucocyte esterase positivity ( P = 0.001, OR = 3.59, 95% CI = 1.91-6.80) were significantly associated with significant bacteriuria while proteinuria was not ( P = 0.989, OR = 1.03, 95% CI = 0.60-1.79). Nitrite positivity alone had the best positive likelihood ratio (4.09, 95% CI: 1.91, 8.78) followed by the combination of nitrite and LE positivity (3.65, 95% CI: 1.90, 7.03). Conclusion: The use of dipstick analysis of urine as a screening tool for samples to be cultured may be a very effective way of reducing laboratory costs and wastage of man hours, which both ultimately improve the effectiveness of clinical laboratories especially in resource-poor settings.
机译:目的:确定尿液中亚硝酸盐,白细胞酯酶(LE)和蛋白质的检测与重要菌尿之间的关系。研究设计:横断面描述性研究。研究的地点和时间:2015年3月至2015年9月,在港口哈科特大学教学医院医学微生物学和寄生虫学系进行。方法:分析了240个尿液样本。根据制造商的说明/使用标准规程,使用Combi-UriScreen 10SL试剂条(英国Axiom Medical limited)进行试纸分析,并进行重要细菌菌培养。数据已编码,输入到Microsoft Excel中?版本2010,并使用Epi-Info版本7.02进行了分析。使用表格将分类数据表示为频率和百分比。使用logistic回归(几率)的单变量分析来确定亚硝酸盐,LE和蛋白质的存在与尿液中大量细菌的产生之间的关联。 ≤0.05的P值被认为具有统计学意义。计算似然比。结果:在99个细菌尿明显的样本中,有23个(23.2%)亚硝酸盐呈阳性,而白细胞酯酶和蛋白质的阳性分别为42个(42.4%)和45个(45.5%)。亚硝酸盐(P = 0.001,OR = 5.03,95%CI = 2.02-12.93)和白细胞酯酶阳性(P = 0.001,OR = 3.59,95%CI = 1.91-6.80)与显着的细菌尿显着相关,而蛋白尿则不( P = 0.989,OR = 1.03,95%CI = 0.60-1.79)。单独的亚硝酸盐阳性具有最佳的似然比(4.09,95%CI:1.91,8.78),其次是亚硝酸盐和LE阳性的组合(3.65,95%CI:1.90,7.03)。结论:使用尿液试纸分析作为待培养样品的筛选工具,可能是降低实验室成本和减少工时的一种非常有效的方法,这最终都会提高临床实验室的效率,尤其是在资源匮乏的环境中。

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