| 研究生: |
曾雅暄 Tseng, Ya-Hsuan |
|---|---|
| 論文名稱: |
評估IRIS自動化尿液分析儀的常規篩檢及泌尿道感染之特性分析 Evaluation of IRIS automated urinalysis analyzers for routine test and characterization of urinary tract infection |
| 指導教授: |
楊孔嘉
Young, Kung-Chia |
| 學位類別: |
碩士 Master |
| 系所名稱: |
醫學院 - 醫學檢驗生物技術學系 Department of Medical Laboratory Science and Biotechnology |
| 論文出版年: | 2014 |
| 畢業學年度: | 102 |
| 語文別: | 中文 |
| 論文頁數: | 86 |
| 中文關鍵詞: | 尿液分析 、泌尿道感染 、IRIS iQ200 、IRIS iChem 、廣效性乙型內醯胺酶 |
| 外文關鍵詞: | urinalysis, urine tract infection, IRIS iQ200, IRIS iChem, extended-spectrum beta- lactamase |
| 相關次數: | 點閱:127 下載:2 |
| 分享至: |
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自動化尿液分析儀加速腎臟與泌尿道疾病的篩檢。本篇研究我們評估成大醫院內IRIS自動尿液生化 (iChem Velocity, IRIS diagnostics) 及尿沉渣分析儀 (iQ200 Elite, IRIS diagnostics) 篩選泌尿道感染的效能。2013年3-7月份,懷疑泌尿道感染之病患之尿液檢體 (n=315) ,經由自動化尿液分析儀與尿液培養分析。尿液培養為診斷泌尿道感染之標準方法,菌落數>105 CFU/ml視為泌尿道感染陽性 (n=98) ; 而<105 CFU/ml視為陰性 (n=217) 。iChem Velocity與iQ200 Elite在紅血球、白血球與細菌的定量結果具相關性 (p-value<0.001) ,但一致性較弱 (κ<0.4) 。若以iChem Velocity檢測白血球酯酶與亞硝酸鹽及iQ200 Elite計數白血球 (臨界值>5 cells/hpf) 與細菌 (>trace) 用於篩選泌尿道感染,其敏感性、特異性及診斷勝算比結果如下:白血球酯酶為94.9%/56.2%/23.9,亞硝酸鹽為30.6%/96.8%/13.2,白血球為79.6%/77.4%/13.4及細菌為80.6%/81.6%/18.4,白血球酯酶、白血球與細菌適用於排除泌尿道感染 (陰性概似比,NLR<0.3) ,同時,亞硝酸鹽、白血球與細菌項目適用於納入泌尿道感染 (陽性概似比,PLR>3) 。接受者操作曲線下面積 (AUC) 分別為:白血球酯酶為0.85,亞硝酸鹽為0.64,白血球為0.84及細菌為0.84。並且。單獨使用白血球酯酶有低的偽陰性率 (5.1%) ,而單獨使用亞硝酸鹽有低的偽陽性率 (3.2%) 。iChem Velocity合併iQ200篩選泌尿道感染,可改善執行效能。當白血球酯酶或細菌其一為陽性,預測泌尿道感染陽性,敏感性為96.9%適用於排除泌尿道感染 (NLR<0.06) 。分離的尿路病原菌常見E. coli (59.4%) ,K. pneumoniae (9.4%) 及Enterococcus (9.4%) 。革蘭氏陰性菌iQ200計數細菌數高於革蘭氏陽性菌 (p-value=0.023) 。此外,廣效性乙型內醯胺酶 (Extended-spectrum β-lactamase, ESBL) 陽性細菌iQ200 Elite計數細菌數高於ESBL陰性細菌 (p-value=0.047) 。總結本篇研究,自動化尿液分析儀有助於預測泌尿道感染之應用。
IRIS automated urine chemistry analyzer (iChem Velocity) and automated urine sediment analyzer (iQ200 Elite) are combined to screen routine urinalysis. In the study, we evaluated the performance of automated urine analyzers for predict urinary tract infection (UTI) and correlated with characterizations of UTI etiology. From March to July in 2013, urine specimens from patients with suspected UTI were recruited consecutively (n=315), and analyzed by automated urinary analyzers and urine culture in National Cheng Kung University Hospital. Urine culture yield 98 positive and 217 negative UTI results. The values between iChem, and iQ200 for WBCs, bacteria, and RBCs were significantly correlated (p<0.001) but fairly consistent (κ<0.4). Leukocyte esterase (LE) and nitrite, measured by iChem for screening UTI were analyzed. The results showed sensitivities, specificities, and diagnostic odds ratios were 94.9%/56.2%/23.9 for LE and 30.6%/96.8%/13.2 for nitrite. Single measurement of LE had a low false negative rate (5.1%) and single measurement of nitrite had a low positive rate (3.2%). Combined the items that iChem LE or iQ200 bacteria positive was considered as UTI, rule out of UTI could be predictive (NLR=0.06), with a false negative rate of 3.1% and diagnostic odds ratio of 39.2. The frequently isolated uropathogens were E. coli (59.4%), K. pneumoniae (9.4%), and Enterococcus (9.4%). Gram-negative bacteria exhibited a higher bacteria count by iQ200 than Gram-positive bacteria (p=0.023), whereas the extended-spectrum beta-lactamase (ESBL)-positive bacteria exhibited a higher bacteria count by iQ200 than that ESBL-negative bacteria (p=0.047). In conclusion, automated urinalysis might contribute to the application in prediction of UTI.
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