摘要
目的探讨尿液亚硝酸盐与白细胞检测在尿路结石并发感染早期诊断中的应用价值。方法选取106例尿路结石并发感染患者,均接受亚硝酸盐、尿沉渣白细胞及尿液细菌培养检测,并将尿液细菌培养结果作为"金标准",计算并比较亚硝酸盐、白细胞检测的敏感度、特异度及准确度。结果白细胞检测的敏感度、阴性预测值、准确度依次为86.4%、77.8%、74.5%,均高于亚硝酸盐检测的32.2%、52.9%、60.4%,但特异度(59.6%)低于亚硝酸盐检测(95.7%),差异有统计学意义(P<0.05)。白细胞检测阳性预测值为72.9%,略低于亚硝酸盐检测的90.5%(P>0.05)。结论亚硝酸盐检测在尿路结石并发感染早期诊断中具有较高的特异度,能有效降低临床误诊风险。白细胞检测在尿路结石并发感染早期诊断中具有较高的敏感度、阴性预测值及准确度,能有效降低漏诊风险。
Objective To explore the value of nitrite detection and leukocyte detection in the early diagnosis of lithangiuria patients complicated with infection. Methods A total of 106 lithangiuria patients complicated with infection were selected and conducted with bacterial cultures and detections of nitrite,urine sediment leucocytes and urine. Taking urine bacteria culture result as the gold standard,sensitivity,specificity and accuracy of nitrite detection and leukocyte detection were calculated and compared. Results The sensitivity,negative predictive value and accuracy of leukocyte detection were 86. 4%,77. 8% and 74. 5%,which were higher than 32. 2%,52. 9% and60. 4% of nitrite detection,but the specificity was significantly lower than that of nitrate detection（ 59. 6% vs. 95. 7%,P〈0. 05）. The positive predictive value of leukocyte detection was 72. 9%,which was slightly lower than 90. 5% of nitrite detection（ P〉0. 05）. Conclusion Nitrite detection has a high specificity in the early diagnosis of lithangiuria patients complicated with infection,and it can effectively reduce the risk of clinical misdiagnosis. Leukocyte detection has high sensitivity,negative predictive value and accuracy in early diagnosis of lithangiuria patients complicated with infection,which can effectively reduce the risk of missed diagnosis.
作者
马楠
李虎
黄志强
赵威
吴闯
MA Nan;LI Hu;HUANG Zhitjiang;ZHAO Wei;WU Chuang(Department of Urinary Surgery,General Hospital of Anhui Coal and Electricity Group,Suzhou,Anhui,23300)
出处
《实用临床医药杂志》
CAS
2018年第17期68-70,74,共4页
Journal of Clinical Medicine in Practice
关键词
亚硝酸盐检测
白细胞检测
尿路结石
感染
诊断价值
nitrite detection
leukocyte detection
lithangiuria
infection
diagnostic value
