世界最新医学信息文摘（连续型电子期刊）
世界最新醫學信息文摘（連續型電子期刊）
세계최신의학신식문적（련속형전자기간）
World Latest Medicine Information
2014年
27期
181-182
,共2页
菌尿%尿液分析仪%尿红细胞%影响
菌尿%尿液分析儀%尿紅細胞%影響
균뇨%뇨액분석의%뇨홍세포%영향
bacteriuria%urine analyzer%urinary red blood cells%impact
目的：对菌尿对尿液分析仪测定尿红细胞的影响进行探讨。方法选取我院收治的100例疑似泌尿系感染患者的晨尿设为菌尿组，并同期抽取100例非泌尿系感染患者的晨尿设为非菌尿组，另外抽取50例正常男性尿液。对菌尿组、非菌尿组的红细胞进行检测，并对正常男性尿液加菌前后的红细胞水平进行观察和比较。结果 Uf-1000i 显示，菌尿组的红细胞数假阳性率明显比非菌尿组高，aX-4280显示尿隐血假阳性率明显比非菌尿组高，差异明显，有统计学意义（P<0.05）；两种分析仪显示，正常男性尿液加菌前后的尿红细胞检测差异明显，有统计学意义（P<0.05）。结论菌尿会导致全自动尿沉渣分析仪以及干化学分析仪的红细胞检测结果受到影响，因此尿液的检验需要强化质量控制。
目的：對菌尿對尿液分析儀測定尿紅細胞的影響進行探討。方法選取我院收治的100例疑似泌尿繫感染患者的晨尿設為菌尿組，併同期抽取100例非泌尿繫感染患者的晨尿設為非菌尿組，另外抽取50例正常男性尿液。對菌尿組、非菌尿組的紅細胞進行檢測，併對正常男性尿液加菌前後的紅細胞水平進行觀察和比較。結果 Uf-1000i 顯示，菌尿組的紅細胞數假暘性率明顯比非菌尿組高，aX-4280顯示尿隱血假暘性率明顯比非菌尿組高，差異明顯，有統計學意義（P<0.05）；兩種分析儀顯示，正常男性尿液加菌前後的尿紅細胞檢測差異明顯，有統計學意義（P<0.05）。結論菌尿會導緻全自動尿沉渣分析儀以及榦化學分析儀的紅細胞檢測結果受到影響，因此尿液的檢驗需要彊化質量控製。
목적：대균뇨대뇨액분석의측정뇨홍세포적영향진행탐토。방법선취아원수치적100례의사비뇨계감염환자적신뇨설위균뇨조，병동기추취100례비비뇨계감염환자적신뇨설위비균뇨조，령외추취50례정상남성뇨액。대균뇨조、비균뇨조적홍세포진행검측，병대정상남성뇨액가균전후적홍세포수평진행관찰화비교。결과 Uf-1000i 현시，균뇨조적홍세포수가양성솔명현비비균뇨조고，aX-4280현시뇨은혈가양성솔명현비비균뇨조고，차이명현，유통계학의의（P<0.05）；량충분석의현시，정상남성뇨액가균전후적뇨홍세포검측차이명현，유통계학의의（P<0.05）。결론균뇨회도치전자동뇨침사분석의이급간화학분석의적홍세포검측결과수도영향，인차뇨액적검험수요강화질량공제。
Objective:To bacteriuria affect urine analyzer urine erythrocytes were discussed. Methods 100 patients admitted to our hospital with suspected urinary tract infection in patients with bacteriuria group set morning urine and extract the same period 100 cases of urinary tract infection in patients with non-morning urine to a non bacteriuria group, in addition to 50 normal male urinary extract fluid. Group of bacteriuria, RBC non-detect bacteriuria group, and normal male urine before and after the increase red blood cell levels of bacteria were observed and compared. the Results Uf-1000i show a false positive rate of red blood cell count bacteriuria group was significantly higher than that of non-bacteriuria group, AX-4280 display occult blood in urine false positive rate was significantly higher than that of non-bacteriuria group, significant differences were statistically significant (P <0.05); two analyzers showed normal male urinary red blood cells to detect bacteria in urine before and after adding significant difference was statistically significant (P <0.05). Conclusion the bacteria can cause red blood cells in urine test results automated urinalysis analyzer and dry chemistry analyzer is affected, so urine tests need to strengthen quality control.
