尿干化学和尿流式检测结果快速预测肾结石患者尿路细菌感染模型的建立与评价

目的 建立一种可以通过尿干化学和尿流式检测结果预测肾结石患者尿路感染(UTI)的方法.方法 分析414例肾结石患者的清洁中段尿样本,将尿流式细菌计数和亚硝酸盐、白细胞酯酶尿干化学检测结果与中段尿培养结果进行比对,确定阈值.结果 尿流式细菌计数为231.8/μL时,检测敏感性为73.97％、特异性为91.14％.亚硝酸盐...

Establishment and evaluation of fast predictive algorithm for urinary tract infection pathogen in patients with nephrolithiasis

Objective To establish an algorithm that can predict potential pathogens causing urinary tract infection(UTI)based on routine urinalysis in nephrolithiasis patients.Methods A total of 414 clean-catch urine specimens of nephrolithiasis patients were collected.The comparison between flow cytometry count,nitrite,leukocyte esterase and urine culture was undertaken to assess the optimal cut-off value for predictive algorithm.Results The cut-off value of flow cytometry bacterial count was 231.8/μL(sensitivity 73.97%,specificity 91.14%).Furthermore,the samples with nitrite positive(OR=7.789,95%CI:3.304-18.358,P<0.0001)and/or leukocyte esterase 4+(OR=2.738,95%CI:1.358-5.519,P=0.0049)were more likely to contain Gram negative bacteria.Conclusion A fast predictive algorithmusing the combination of urine dipstick and flow cytometry can predict the infection of Gram-positive bacteria and Gram-negative bacteria in nephrolithiasis patientsand has certain clinical value.