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find Keyword "尿沉渣" 4 results
  • 尿沉渣中相似有形成分的特征及鉴别

    目的 提高临床检验人员尿沉渣显微镜检中相似有形成分的辨认能力。 方法 通过分析2007年-2012年参加美国病理家协会和卫生部临检中心能力比对试验122份图片标本的回报结果,归纳尿沉渣相似有形成分辨认的主要错误,总结常见的尿沉渣中相似有形成分的形态特征和鉴别要点。 结果 122份样本中115份鉴定结果正确,7份鉴定错误,错误率5.7%。 结论 通过定期的学习和比较,使检验技师尿沉渣相似有形成分的识别能力得到提升,尿沉渣检验质量得到提高。

    Release date:2016-09-07 02:37 Export PDF Favorites Scan
  • Evaluation of the Application of UF-1000i Automatic Urine Dreg Analyzer in Excluding Urinary Tract Infection

    目的 评价UF-1000i全自动尿沉渣分析仪中沉渣定量模块中白细胞和细菌参数阈值在排除尿路感染的应用价值。 方法 选取2 580份清洁中段尿液, 同时进行细菌培养菌落计数和UF-1000i尿沉渣白细胞和细菌定量分析,建立ROC曲线确定白细胞参数与细菌参数阈值。 结果 以尿定量培养菌落计数G?菌≥105 cfu/mL,G+菌≥104 cfu/mL为阳性参考标准,当白细胞沉渣定量为100/μL时,UF-1000i尿沉渣分析仪检测灵敏度为64%,特异度为75%,阴性预测值为96%;当UF-1000i细菌计量为901/μL时,检测灵敏度为68.3%,特异度为92.8%,阴性预测值为97%。 结论 UF-1000i检测新鲜尿标本白细胞的测定值lt;100/μL,细菌值lt;901/μL时能够作为临床早期排除尿路感染的依据之一。

    Release date:2016-09-07 02:37 Export PDF Favorites Scan
  • Application of UF100 Full-auto Urine Sediment Analyzer in Detecting Cylindruria

    【摘要】 目的 探讨全自动尿沉渣分析仪在尿管型检测中的应用。 方法 收集尿管型患者晨尿标本836份。所有标本均经尿干化学分析仪检测Pro≥1+或尿沉渣分析仪提示有管型。采用UF100全自动尿沉渣分析仪和显微镜检测管型,对比分析两者的检测结果。 结果 836份标本中,UF100全自动尿沉渣分析仪检测阳性者320例,占38.28%;显微镜检测阳性者195例,占23.33%。其中UF100全自动尿沉渣分析仪的假阳性率为26.52%,假阴性率为23.08%。UF100尿沉渣分析仪与显微镜检测管型的阳性结果比较,差异有统计学意义(Plt;0.01)。 结论 UF100全自动尿沉渣仪能快速筛检尿沉渣,但存在一定的假阴性,必须同时将其检测结果与尿干化学结果结合考虑以决定是否再进行显微镜检测,减少假阴性以防止漏检。【Abstract】 Objective To investigate the application of UF-100 full-auto urine sediment analyzer in detecting cylindruia. Methods 836 specimens with cylindruia were selected. All the specimens with Pro≥1+ were dectected by chemical dipstick or cylindruia by urine sediment analyzer. The cast were detected by urine sediment analyzer and microscope, and the results were compared. Results Of 836 specimens, 320 positive samples(38.28%) were found by UF-100 while 195 (23.33%) were found by microscope. False positive rate and false negative rate of UF100 were 26.52% and 23.08%. Compared the results of urine sediment analyzer with microscope, the difference was statistically significant (Plt;0.01). Conclusions UF100 can detect urinary cast quickly, but there is a little high false negative rate. So we should consider urine sample whether to be detected by microscope compared with results of UF100 and chemical dipstick.

    Release date:2016-09-08 09:50 Export PDF Favorites Scan
  • Research on the Application of UF-1000i Urine Sediment Analyzer in Rapid Urinary Tract Infection Screening by Receiver Operator Characteristic Curve

    ObjectiveTo investigate the feasibility of quantitative detection of WBC count and bacteria count with UF-1000i urinary sediment analyzer in rapid screening for urinary tract infection by receiver operator characteristic (ROC) curve. MethodsFrom August to December 2013, we used quantitative bacterial culture and UF-1000i automatic urine sediment analyzer respectively to examine asepsis urine specimens of 218 patients with suspected urinary tract infection. Among them, there were 95 males and 123 females, with an average age of 54.7 years old. ResultsAmong the 218 urinary samples, 65 were culture positive specimens. With positive urine culture as the gold standard for making ROC curve, the area under ROC curve for WBC count and bacterial numbers by UF-1000i urine sediment analyzer were respectively 0.839 and 0.894. The cut-off values of Youden index for optimal WBC cell count and bacterial count were ≥31.0/μL and 38.8/μL, respectively. When the above numbers were used as cut-off values, the WBC count sensitivity and specificity were 78.3% and 80.4%, the positive likelihood ratio was 3.99, and the negative likelihood ratio was 1.11. And the bacterial count sensitivity and specificity were 84.3% and 80.6%, the positive likelihood ratio was 4.30, and the negative likelihood ratio was 0.80. ConclusionUsing white blood cell count ≥31/μL and bacterial count ≥38.8/μL detected by UF-1000i urine sediment analyzer as the cut off values of noninvasive screening indexes has a very important value in screening for urinary tract infection in the early stage, determining whether there is a need for urine culture, and guiding clinical rational application of antibiotics

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