冷链系统在医学实验室应用的体会

冷链监控系统为检验科试剂、标本、血液制品保存以及实验室环境温度控制提供一个良好的平台,大大减少了对于传统温度控制上所花费的人力物力资源,提高了医学实验室的工作效率。应用到检验科内冷链系统由软件控制单元、硬件探头以及无线发射报警装置组成。1医学实验室环境、设备温度控制和监测的意义医学检验这一门学科的发展是随着科学技术进步和临床医学的发展而不断发展的,从最原始的手工试验操作发展到了     

尿流式有形成分及干化学分析在尿路感染诊断中的应用评价

Objective To evaluate the clinical application of automated urine formed elements analyzer and/or urine dipstick analyzer for examination of urinary formed elements in screening urinary tract infection (UTI). Methods 148 fresh midstream clear-catch urine samples from the UTI patients and 284 fresh midstream clear-catch urine samples from non-UTI subjects were selected. Bacteria culture was performed for bacterial colony counting and identification. Bacteria counts ( BACT), yeast-like fungus and WBC were performed by UF-looOi automated urine formed elements analyzer. Leukocyte esterase test (LEU) and nitrite test (NIT) were performed by URISYS 2400 urine dipstick analyzer. We evaluated data obtained from urine dipstick analyzer, UF-1000i and combination of UF-1000i with urine dipstick analyzer and the results was compared with those obtained from quantitative bacterial culture. Then we evaluated the sensibility, specificity, positive predictive value (PPV), negative predictive value (NPV) and accuracy. Results Among the 148 patients with UTI, the positive rate of the quantitative bacterial culture was 73.6% (109/148), the positive rate of LEU and NIT detected by dipstick test 26. 4% (39/148).There was significantly statistical difference between bacterial culture and strip test(χ2 = 55.68 ,P < 0. 05 ). The positive rate of urine flow cytometry by UF-1000i with either positive of BACT and WBC was 91.2%(135/148), which was higher than the positive rate of the quantitative bacterial culture. There was significant difference between two methods (χ2 = 14. 70, P < 0. 05 ). The positive rate of anyone positive among BACT, WBC, LEU and NIT was 94. 6% (140/148) when detected with combination of dipstick test and UF-1000i, which was higher than the positive rate of the quantitative bacterial culture. And there was significant difference between two methods (χ2 = 20. 45, P < 0. 05 ). The sensitivity of dipstick test was low (26. 4% ,39/148 ), and specificity was high ( 99. 3%, 282/284 ) . The sensitivity, specificity, positive predictive value, negative predictive value of BACT detected by UF-1000i in diagnosing urinary tract infection were 92. 6% ( 137/148 ), 39. 8% ( 113/284 ). 44. 5% ( 137/308 ) and 91.1% ( 113/124 ), respectively. If the dipstick test was combined with UF-1000i, the sensitivity, negative predictive value, specificity, positive predictive value and accuracy were 98.0% ( 145/148 ), 97.1% ( 100/103 ). 35.2% (100/284) ,44. 1% (145/329) and 56. 7% (245/432), respectively. Conclusions The combination of urine dipstick test and automated urine formed elements analyzer UF-1000i plays an important role in early diagnosis of UTI. And it has significant value in diagnosis of UTI, especially for the patients with negative bacterial cultures of urine sample.     

尿流式有形成分及干化学分析在尿路感染诊断中的应用评价

Objective To evaluate the clinical application of automated urine formed elements analyzer and/or urine dipstick analyzer for examination of urinary formed elements in screening urinary tract infection (UTI). Methods 148 fresh midstream clear-catch urine samples from the UTI patients and 284 fresh midstream clear-catch urine samples from non-UTI subjects were selected. Bacteria culture was performed for bacterial colony counting and identification. Bacteria counts ( BACT), yeast-like fungus and WBC were performed by UF-looOi automated urine formed elements analyzer. Leukocyte esterase test (LEU) and nitrite test (NIT) were performed by URISYS 2400 urine dipstick analyzer. We evaluated data obtained from urine dipstick analyzer, UF-1000i and combination of UF-1000i with urine dipstick analyzer and the results was compared with those obtained from quantitative bacterial culture. Then we evaluated the sensibility, specificity, positive predictive value (PPV), negative predictive value (NPV) and accuracy. Results Among the 148 patients with UTI, the positive rate of the quantitative bacterial culture was 73.6% (109/148), the positive rate of LEU and NIT detected by dipstick test 26. 4% (39/148).There was significantly statistical difference between bacterial culture and strip test(χ2 = 55.68 ,P < 0. 05 ). The positive rate of urine flow cytometry by UF-1000i with either positive of BACT and WBC was 91.2%(135/148), which was higher than the positive rate of the quantitative bacterial culture. There was significant difference between two methods (χ2 = 14. 70, P < 0. 05 ). The positive rate of anyone positive among BACT, WBC, LEU and NIT was 94. 6% (140/148) when detected with combination of dipstick test and UF-1000i, which was higher than the positive rate of the quantitative bacterial culture. And there was significant difference between two methods (χ2 = 20. 45, P < 0. 05 ). The sensitivity of dipstick test was low (26. 4% ,39/148 ), and specificity was high ( 99. 3%, 282/284 ) . The sensitivity, specificity, positive predictive value, negative predictive value of BACT detected by UF-1000i in diagnosing urinary tract infection were 92. 6% ( 137/148 ), 39. 8% ( 113/284 ). 44. 5% ( 137/308 ) and 91.1% ( 113/124 ), respectively. If the dipstick test was combined with UF-1000i, the sensitivity, negative predictive value, specificity, positive predictive value and accuracy were 98.0% ( 145/148 ), 97.1% ( 100/103 ). 35.2% (100/284) ,44. 1% (145/329) and 56. 7% (245/432), respectively. Conclusions The combination of urine dipstick test and automated urine formed elements analyzer UF-1000i plays an important role in early diagnosis of UTI. And it has significant value in diagnosis of UTI, especially for the patients with negative bacterial cultures of urine sample.     

尿流式有形成分及干化学分析在尿路感染诊断中的应用评价

Objective To evaluate the clinical application of automated urine formed elements analyzer and/or urine dipstick analyzer for examination of urinary formed elements in screening urinary tract infection (UTI). Methods 148 fresh midstream clear-catch urine samples from the UTI patients and 284 fresh midstream clear-catch urine samples from non-UTI subjects were selected. Bacteria culture was performed for bacterial colony counting and identification. Bacteria counts ( BACT), yeast-like fungus and WBC were performed by UF-looOi automated urine formed elements analyzer. Leukocyte esterase test (LEU) and nitrite test (NIT) were performed by URISYS 2400 urine dipstick analyzer. We evaluated data obtained from urine dipstick analyzer, UF-1000i and combination of UF-1000i with urine dipstick analyzer and the results was compared with those obtained from quantitative bacterial culture. Then we evaluated the sensibility, specificity, positive predictive value (PPV), negative predictive value (NPV) and accuracy. Results Among the 148 patients with UTI, the positive rate of the quantitative bacterial culture was 73.6% (109/148), the positive rate of LEU and NIT detected by dipstick test 26. 4% (39/148).There was significantly statistical difference between bacterial culture and strip test(χ2 = 55.68 ,P < 0. 05 ). The positive rate of urine flow cytometry by UF-1000i with either positive of BACT and WBC was 91.2%(135/148), which was higher than the positive rate of the quantitative bacterial culture. There was significant difference between two methods (χ2 = 14. 70, P < 0. 05 ). The positive rate of anyone positive among BACT, WBC, LEU and NIT was 94. 6% (140/148) when detected with combination of dipstick test and UF-1000i, which was higher than the positive rate of the quantitative bacterial culture. And there was significant difference between two methods (χ2 = 20. 45, P < 0. 05 ). The sensitivity of dipstick test was low (26. 4% ,39/148 ), and specificity was high ( 99. 3%, 282/284 ) . The sensitivity, specificity, positive predictive value, negative predictive value of BACT detected by UF-1000i in diagnosing urinary tract infection were 92. 6% ( 137/148 ), 39. 8% ( 113/284 ). 44. 5% ( 137/308 ) and 91.1% ( 113/124 ), respectively. If the dipstick test was combined with UF-1000i, the sensitivity, negative predictive value, specificity, positive predictive value and accuracy were 98.0% ( 145/148 ), 97.1% ( 100/103 ). 35.2% (100/284) ,44. 1% (145/329) and 56. 7% (245/432), respectively. Conclusions The combination of urine dipstick test and automated urine formed elements analyzer UF-1000i plays an important role in early diagnosis of UTI. And it has significant value in diagnosis of UTI, especially for the patients with negative bacterial cultures of urine sample.     

尿流式有形成分及干化学分析在尿路感染诊断中的应用评价

Objective To evaluate the clinical application of automated urine formed elements analyzer and/or urine dipstick analyzer for examination of urinary formed elements in screening urinary tract infection (UTI). Methods 148 fresh midstream clear-catch urine samples from the UTI patients and 284 fresh midstream clear-catch urine samples from non-UTI subjects were selected. Bacteria culture was performed for bacterial colony counting and identification. Bacteria counts ( BACT), yeast-like fungus and WBC were performed by UF-looOi automated urine formed elements analyzer. Leukocyte esterase test (LEU) and nitrite test (NIT) were performed by URISYS 2400 urine dipstick analyzer. We evaluated data obtained from urine dipstick analyzer, UF-1000i and combination of UF-1000i with urine dipstick analyzer and the results was compared with those obtained from quantitative bacterial culture. Then we evaluated the sensibility, specificity, positive predictive value (PPV), negative predictive value (NPV) and accuracy. Results Among the 148 patients with UTI, the positive rate of the quantitative bacterial culture was 73.6% (109/148), the positive rate of LEU and NIT detected by dipstick test 26. 4% (39/148).There was significantly statistical difference between bacterial culture and strip test(χ2 = 55.68 ,P < 0. 05 ). The positive rate of urine flow cytometry by UF-1000i with either positive of BACT and WBC was 91.2%(135/148), which was higher than the positive rate of the quantitative bacterial culture. There was significant difference between two methods (χ2 = 14. 70, P < 0. 05 ). The positive rate of anyone positive among BACT, WBC, LEU and NIT was 94. 6% (140/148) when detected with combination of dipstick test and UF-1000i, which was higher than the positive rate of the quantitative bacterial culture. And there was significant difference between two methods (χ2 = 20. 45, P < 0. 05 ). The sensitivity of dipstick test was low (26. 4% ,39/148 ), and specificity was high ( 99. 3%, 282/284 ) . The sensitivity, specificity, positive predictive value, negative predictive value of BACT detected by UF-1000i in diagnosing urinary tract infection were 92. 6% ( 137/148 ), 39. 8% ( 113/284 ). 44. 5% ( 137/308 ) and 91.1% ( 113/124 ), respectively. If the dipstick test was combined with UF-1000i, the sensitivity, negative predictive value, specificity, positive predictive value and accuracy were 98.0% ( 145/148 ), 97.1% ( 100/103 ). 35.2% (100/284) ,44. 1% (145/329) and 56. 7% (245/432), respectively. Conclusions The combination of urine dipstick test and automated urine formed elements analyzer UF-1000i plays an important role in early diagnosis of UTI. And it has significant value in diagnosis of UTI, especially for the patients with negative bacterial cultures of urine sample.     

尿流式有形成分及干化学分析在尿路感染诊断中的应用评价

Objective To evaluate the clinical application of automated urine formed elements analyzer and/or urine dipstick analyzer for examination of urinary formed elements in screening urinary tract infection (UTI). Methods 148 fresh midstream clear-catch urine samples from the UTI patients and 284 fresh midstream clear-catch urine samples from non-UTI subjects were selected. Bacteria culture was performed for bacterial colony counting and identification. Bacteria counts ( BACT), yeast-like fungus and WBC were performed by UF-looOi automated urine formed elements analyzer. Leukocyte esterase test (LEU) and nitrite test (NIT) were performed by URISYS 2400 urine dipstick analyzer. We evaluated data obtained from urine dipstick analyzer, UF-1000i and combination of UF-1000i with urine dipstick analyzer and the results was compared with those obtained from quantitative bacterial culture. Then we evaluated the sensibility, specificity, positive predictive value (PPV), negative predictive value (NPV) and accuracy. Results Among the 148 patients with UTI, the positive rate of the quantitative bacterial culture was 73.6% (109/148), the positive rate of LEU and NIT detected by dipstick test 26. 4% (39/148).There was significantly statistical difference between bacterial culture and strip test(χ2 = 55.68 ,P < 0. 05 ). The positive rate of urine flow cytometry by UF-1000i with either positive of BACT and WBC was 91.2%(135/148), which was higher than the positive rate of the quantitative bacterial culture. There was significant difference between two methods (χ2 = 14. 70, P < 0. 05 ). The positive rate of anyone positive among BACT, WBC, LEU and NIT was 94. 6% (140/148) when detected with combination of dipstick test and UF-1000i, which was higher than the positive rate of the quantitative bacterial culture. And there was significant difference between two methods (χ2 = 20. 45, P < 0. 05 ). The sensitivity of dipstick test was low (26. 4% ,39/148 ), and specificity was high ( 99. 3%, 282/284 ) . The sensitivity, specificity, positive predictive value, negative predictive value of BACT detected by UF-1000i in diagnosing urinary tract infection were 92. 6% ( 137/148 ), 39. 8% ( 113/284 ). 44. 5% ( 137/308 ) and 91.1% ( 113/124 ), respectively. If the dipstick test was combined with UF-1000i, the sensitivity, negative predictive value, specificity, positive predictive value and accuracy were 98.0% ( 145/148 ), 97.1% ( 100/103 ). 35.2% (100/284) ,44. 1% (145/329) and 56. 7% (245/432), respectively. Conclusions The combination of urine dipstick test and automated urine formed elements analyzer UF-1000i plays an important role in early diagnosis of UTI. And it has significant value in diagnosis of UTI, especially for the patients with negative bacterial cultures of urine sample.     

流式尿有形成分分析仪UF-1000i联合相差显微镜在血尿来源诊断中的应用评价

目的：评价UF-1000i流式尿有形成分分析仪、尿干化学分析仪及相差显微镜联合应用在血尿来源鉴别中的应用价值。方法：选取33例肾小球性血尿、23例非肾小球性血尿,分别用UF-1000i流式尿有形成分分析仪检测尿红细胞数量、尿70%红细胞前向散射光强度（RBC-P70Fsc）、尿红细胞前向散射光分布宽度（RBC-Fsc-DW）;用URISYS2400尿干化学分析仪检测蛋白（PRO）;用相差显微镜检测尿红细胞数量、畸形红细胞比率。结果：对于血尿来源的鉴别,UF-1000i检查的敏感度100%,特异度82.6%,相差显微镜检查的敏感度93.9%,特异度91.3%。UF-1000i诊断肾小球性血尿的敏感度、特异度ROC曲线下面积为0.966（P〈0.01）,相差显微镜诊断肾小球性血尿的敏感度、特异度ROC曲线下面积为0.967（P〈0.01）。二者曲线下面积比较,差异无统计学意义（u=0.03,P〉0.05）,二者诊断血尿来源的准确度相同。尿干化学分析中,尿蛋白阳性对于判断肾小球性血尿的敏感度为81.8%,特异度为65.2%。结论：联合UF-1000i流式尿有形成分分析仪、尿干化学分析仪及相差显微镜是鉴别血尿来源的最好策略。     

依托网络技术的医学检验信息递送服务及安全管理

结合医院某科LIS系统探讨网络技术在医学检验信息递送服务体系中的应用。网络的应用在各行各业,可以满足发展中国家及世界各地偏远地区不断增长的获得医疗健康服务的需求。近年来中国的电信行业发展迅速,利用这一行业的优势能否建立面向患者的检验结果主动递送服务体系是值得我们探讨的话题。这些远程医疗的广泛应用要求技术专家和临床医生进一步加强协作,保证在实际环境中实现承诺,能让更多的数以百万计的民众获得医疗服务,为患者带来实实在在的好处。但不论是局域网、广域网、手机短信方式所提供的服务,信息安全性都是不容忽视的问题。     

尿流式有形成分及干化学分析在尿路感染诊断中的应用评价

Objective To evaluate the clinical application of automated urine formed elements analyzer and/or urine dipstick analyzer for examination of urinary formed elements in screening urinary tract infection (UTI). Methods 148 fresh midstream clear-catch urine samples from the UTI patients and 284 fresh midstream clear-catch urine samples from non-UTI subjects were selected. Bacteria culture was performed for bacterial colony counting and identification. Bacteria counts ( BACT), yeast-like fungus and WBC were performed by UF-looOi automated urine formed elements analyzer. Leukocyte esterase test (LEU) and nitrite test (NIT) were performed by URISYS 2400 urine dipstick analyzer. We evaluated data obtained from urine dipstick analyzer, UF-1000i and combination of UF-1000i with urine dipstick analyzer and the results was compared with those obtained from quantitative bacterial culture. Then we evaluated the sensibility, specificity, positive predictive value (PPV), negative predictive value (NPV) and accuracy. Results Among the 148 patients with UTI, the positive rate of the quantitative bacterial culture was 73.6% (109/148), the positive rate of LEU and NIT detected by dipstick test 26. 4% (39/148).There was significantly statistical difference between bacterial culture and strip test(χ2 = 55.68 ,P < 0. 05 ). The positive rate of urine flow cytometry by UF-1000i with either positive of BACT and WBC was 91.2%(135/148), which was higher than the positive rate of the quantitative bacterial culture. There was significant difference between two methods (χ2 = 14. 70, P < 0. 05 ). The positive rate of anyone positive among BACT, WBC, LEU and NIT was 94. 6% (140/148) when detected with combination of dipstick test and UF-1000i, which was higher than the positive rate of the quantitative bacterial culture. And there was significant difference between two methods (χ2 = 20. 45, P < 0. 05 ). The sensitivity of dipstick test was low (26. 4% ,39/148 ), and specificity was high ( 99. 3%, 282/284 ) . The sensitivity, specificity, positive predictive value, negative predictive value of BACT detected by UF-1000i in diagnosing urinary tract infection were 92. 6% ( 137/148 ), 39. 8% ( 113/284 ). 44. 5% ( 137/308 ) and 91.1% ( 113/124 ), respectively. If the dipstick test was combined with UF-1000i, the sensitivity, negative predictive value, specificity, positive predictive value and accuracy were 98.0% ( 145/148 ), 97.1% ( 100/103 ). 35.2% (100/284) ,44. 1% (145/329) and 56. 7% (245/432), respectively. Conclusions The combination of urine dipstick test and automated urine formed elements analyzer UF-1000i plays an important role in early diagnosis of UTI. And it has significant value in diagnosis of UTI, especially for the patients with negative bacterial cultures of urine sample.     

尿流式有形成分及干化学分析在尿路感染诊断中的应用评价

Objective To evaluate the clinical application of automated urine formed elements analyzer and/or urine dipstick analyzer for examination of urinary formed elements in screening urinary tract infection (UTI). Methods 148 fresh midstream clear-catch urine samples from the UTI patients and 284 fresh midstream clear-catch urine samples from non-UTI subjects were selected. Bacteria culture was performed for bacterial colony counting and identification. Bacteria counts ( BACT), yeast-like fungus and WBC were performed by UF-looOi automated urine formed elements analyzer. Leukocyte esterase test (LEU) and nitrite test (NIT) were performed by URISYS 2400 urine dipstick analyzer. We evaluated data obtained from urine dipstick analyzer, UF-1000i and combination of UF-1000i with urine dipstick analyzer and the results was compared with those obtained from quantitative bacterial culture. Then we evaluated the sensibility, specificity, positive predictive value (PPV), negative predictive value (NPV) and accuracy. Results Among the 148 patients with UTI, the positive rate of the quantitative bacterial culture was 73.6% (109/148), the positive rate of LEU and NIT detected by dipstick test 26. 4% (39/148).There was significantly statistical difference between bacterial culture and strip test(χ2 = 55.68 ,P < 0. 05 ). The positive rate of urine flow cytometry by UF-1000i with either positive of BACT and WBC was 91.2%(135/148), which was higher than the positive rate of the quantitative bacterial culture. There was significant difference between two methods (χ2 = 14. 70, P < 0. 05 ). The positive rate of anyone positive among BACT, WBC, LEU and NIT was 94. 6% (140/148) when detected with combination of dipstick test and UF-1000i, which was higher than the positive rate of the quantitative bacterial culture. And there was significant difference between two methods (χ2 = 20. 45, P < 0. 05 ). The sensitivity of dipstick test was low (26. 4% ,39/148 ), and specificity was high ( 99. 3%, 282/284 ) . The sensitivity, specificity, positive predictive value, negative predictive value of BACT detected by UF-1000i in diagnosing urinary tract infection were 92. 6% ( 137/148 ), 39. 8% ( 113/284 ). 44. 5% ( 137/308 ) and 91.1% ( 113/124 ), respectively. If the dipstick test was combined with UF-1000i, the sensitivity, negative predictive value, specificity, positive predictive value and accuracy were 98.0% ( 145/148 ), 97.1% ( 100/103 ). 35.2% (100/284) ,44. 1% (145/329) and 56. 7% (245/432), respectively. Conclusions The combination of urine dipstick test and automated urine formed elements analyzer UF-1000i plays an important role in early diagnosis of UTI. And it has significant value in diagnosis of UTI, especially for the patients with negative bacterial cultures of urine sample.