【摘要】 目的 探討全自動尿沉渣分析儀在尿管型檢測中的應用。 方法 收集尿管型患者晨尿標本836份。所有標本均經尿干化學分析儀檢測Pro≥1+或尿沉渣分析儀提示有管型。采用UF100全自動尿沉渣分析儀和顯微鏡檢測管型，對比分析兩者的檢測結果。 結果 836份標本中，UF100全自動尿沉渣分析儀檢測陽性者320例，占38.28%；顯微鏡檢測陽性者195例，占23.33%。其中UF100全自動尿沉渣分析儀的假陽性率為26.52%，假陰性率為23.08%。UF100尿沉渣分析儀與顯微鏡檢測管型的陽性結果比較，差異有統計學意義（Plt;0.01）。 結論 UF100全自動尿沉渣儀能快速篩檢尿沉渣，但存在一定的假陰性，必須同時將其檢測結果與尿干化學結果結合考慮以決定是否再進行顯微鏡檢測，減少假陰性以防止漏檢。【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.
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
