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1.
Objective To evaluate the application value of UF-1000i automated urine formed elements analyzer in the diagnosis of urinary tract infection. Methods 150 urine specimens were analyzed using the UF-1000i in parallel with detection of leukocyte, yeast-like fungus, and bacteria. These detection results were collected for evaluation of urinary tract infection and scatter grams were recorded. At the same time, these samples were cultured for bacterial identification, which results were compared with that of the UF-1000i. The clinical diagnose criteria of the UTI was performed as golden standard. As compare with results obtained with UF-1000i, the sensitivity and specificity of UF-1000i for diagnosis of urinary tract infection were evaluated, and the consistency were analyzed among scatter grams, bacterial culture and final diagnosis. Results The statistical results from 146 specimens showed that the positive rate of UF-1000i was 32. 9% (48/146), the positive rate of urine culture is 28. 8% (42/146). There was no significant statistical difference found (χ2 = 1.79 ,P = 0. 18 )and Kappa test showed a considerable consistency (K = 0. 775 6). The UF-1000i detection results showed the sensitivity 76. 0% ( 38/50 ), specificity 89. 6% ( 86/96 ), positive predictive value 79. 2% ( 38/48 ) and negative predictive value 87. 8% ( 86/98 ), respectively. The distribution of coccus and bacilli obtained from the UF-1000i testing was basically in accordance with the results of bacterial culture. Conclusion The "UTI-information" of UF-1000i is very important for the diagnosis of urinary tract infections.  相似文献   

2.
Objective To evaluate the application value of UF-1000i automated urine formed elements analyzer in the diagnosis of urinary tract infection. Methods 150 urine specimens were analyzed using the UF-1000i in parallel with detection of leukocyte, yeast-like fungus, and bacteria. These detection results were collected for evaluation of urinary tract infection and scatter grams were recorded. At the same time, these samples were cultured for bacterial identification, which results were compared with that of the UF-1000i. The clinical diagnose criteria of the UTI was performed as golden standard. As compare with results obtained with UF-1000i, the sensitivity and specificity of UF-1000i for diagnosis of urinary tract infection were evaluated, and the consistency were analyzed among scatter grams, bacterial culture and final diagnosis. Results The statistical results from 146 specimens showed that the positive rate of UF-1000i was 32. 9% (48/146), the positive rate of urine culture is 28. 8% (42/146). There was no significant statistical difference found (χ2 = 1.79 ,P = 0. 18 )and Kappa test showed a considerable consistency (K = 0. 775 6). The UF-1000i detection results showed the sensitivity 76. 0% ( 38/50 ), specificity 89. 6% ( 86/96 ), positive predictive value 79. 2% ( 38/48 ) and negative predictive value 87. 8% ( 86/98 ), respectively. The distribution of coccus and bacilli obtained from the UF-1000i testing was basically in accordance with the results of bacterial culture. Conclusion The "UTI-information" of UF-1000i is very important for the diagnosis of urinary tract infections.  相似文献   

3.
Objective To evaluate the application value of UF-1000i automated urine formed elements analyzer in the diagnosis of urinary tract infection. Methods 150 urine specimens were analyzed using the UF-1000i in parallel with detection of leukocyte, yeast-like fungus, and bacteria. These detection results were collected for evaluation of urinary tract infection and scatter grams were recorded. At the same time, these samples were cultured for bacterial identification, which results were compared with that of the UF-1000i. The clinical diagnose criteria of the UTI was performed as golden standard. As compare with results obtained with UF-1000i, the sensitivity and specificity of UF-1000i for diagnosis of urinary tract infection were evaluated, and the consistency were analyzed among scatter grams, bacterial culture and final diagnosis. Results The statistical results from 146 specimens showed that the positive rate of UF-1000i was 32. 9% (48/146), the positive rate of urine culture is 28. 8% (42/146). There was no significant statistical difference found (χ2 = 1.79 ,P = 0. 18 )and Kappa test showed a considerable consistency (K = 0. 775 6). The UF-1000i detection results showed the sensitivity 76. 0% ( 38/50 ), specificity 89. 6% ( 86/96 ), positive predictive value 79. 2% ( 38/48 ) and negative predictive value 87. 8% ( 86/98 ), respectively. The distribution of coccus and bacilli obtained from the UF-1000i testing was basically in accordance with the results of bacterial culture. Conclusion The "UTI-information" of UF-1000i is very important for the diagnosis of urinary tract infections.  相似文献   

4.
Objective To evaluate the application value of UF-1000i automated urine formed elements analyzer in the diagnosis of urinary tract infection. Methods 150 urine specimens were analyzed using the UF-1000i in parallel with detection of leukocyte, yeast-like fungus, and bacteria. These detection results were collected for evaluation of urinary tract infection and scatter grams were recorded. At the same time, these samples were cultured for bacterial identification, which results were compared with that of the UF-1000i. The clinical diagnose criteria of the UTI was performed as golden standard. As compare with results obtained with UF-1000i, the sensitivity and specificity of UF-1000i for diagnosis of urinary tract infection were evaluated, and the consistency were analyzed among scatter grams, bacterial culture and final diagnosis. Results The statistical results from 146 specimens showed that the positive rate of UF-1000i was 32. 9% (48/146), the positive rate of urine culture is 28. 8% (42/146). There was no significant statistical difference found (χ2 = 1.79 ,P = 0. 18 )and Kappa test showed a considerable consistency (K = 0. 775 6). The UF-1000i detection results showed the sensitivity 76. 0% ( 38/50 ), specificity 89. 6% ( 86/96 ), positive predictive value 79. 2% ( 38/48 ) and negative predictive value 87. 8% ( 86/98 ), respectively. The distribution of coccus and bacilli obtained from the UF-1000i testing was basically in accordance with the results of bacterial culture. Conclusion The "UTI-information" of UF-1000i is very important for the diagnosis of urinary tract infections.  相似文献   

5.
Objective To evaluate the application value of UF-1000i automated urine formed elements analyzer in the diagnosis of urinary tract infection. Methods 150 urine specimens were analyzed using the UF-1000i in parallel with detection of leukocyte, yeast-like fungus, and bacteria. These detection results were collected for evaluation of urinary tract infection and scatter grams were recorded. At the same time, these samples were cultured for bacterial identification, which results were compared with that of the UF-1000i. The clinical diagnose criteria of the UTI was performed as golden standard. As compare with results obtained with UF-1000i, the sensitivity and specificity of UF-1000i for diagnosis of urinary tract infection were evaluated, and the consistency were analyzed among scatter grams, bacterial culture and final diagnosis. Results The statistical results from 146 specimens showed that the positive rate of UF-1000i was 32. 9% (48/146), the positive rate of urine culture is 28. 8% (42/146). There was no significant statistical difference found (χ2 = 1.79 ,P = 0. 18 )and Kappa test showed a considerable consistency (K = 0. 775 6). The UF-1000i detection results showed the sensitivity 76. 0% ( 38/50 ), specificity 89. 6% ( 86/96 ), positive predictive value 79. 2% ( 38/48 ) and negative predictive value 87. 8% ( 86/98 ), respectively. The distribution of coccus and bacilli obtained from the UF-1000i testing was basically in accordance with the results of bacterial culture. Conclusion The "UTI-information" of UF-1000i is very important for the diagnosis of urinary tract infections.  相似文献   

6.
Objective To evaluate the application value of UF-1000i automated urine formed elements analyzer in the diagnosis of urinary tract infection. Methods 150 urine specimens were analyzed using the UF-1000i in parallel with detection of leukocyte, yeast-like fungus, and bacteria. These detection results were collected for evaluation of urinary tract infection and scatter grams were recorded. At the same time, these samples were cultured for bacterial identification, which results were compared with that of the UF-1000i. The clinical diagnose criteria of the UTI was performed as golden standard. As compare with results obtained with UF-1000i, the sensitivity and specificity of UF-1000i for diagnosis of urinary tract infection were evaluated, and the consistency were analyzed among scatter grams, bacterial culture and final diagnosis. Results The statistical results from 146 specimens showed that the positive rate of UF-1000i was 32. 9% (48/146), the positive rate of urine culture is 28. 8% (42/146). There was no significant statistical difference found (χ2 = 1.79 ,P = 0. 18 )and Kappa test showed a considerable consistency (K = 0. 775 6). The UF-1000i detection results showed the sensitivity 76. 0% ( 38/50 ), specificity 89. 6% ( 86/96 ), positive predictive value 79. 2% ( 38/48 ) and negative predictive value 87. 8% ( 86/98 ), respectively. The distribution of coccus and bacilli obtained from the UF-1000i testing was basically in accordance with the results of bacterial culture. Conclusion The "UTI-information" of UF-1000i is very important for the diagnosis of urinary tract infections.  相似文献   

7.
Objective To evaluate the application value of UF-1000i automated urine formed elements analyzer in the diagnosis of urinary tract infection. Methods 150 urine specimens were analyzed using the UF-1000i in parallel with detection of leukocyte, yeast-like fungus, and bacteria. These detection results were collected for evaluation of urinary tract infection and scatter grams were recorded. At the same time, these samples were cultured for bacterial identification, which results were compared with that of the UF-1000i. The clinical diagnose criteria of the UTI was performed as golden standard. As compare with results obtained with UF-1000i, the sensitivity and specificity of UF-1000i for diagnosis of urinary tract infection were evaluated, and the consistency were analyzed among scatter grams, bacterial culture and final diagnosis. Results The statistical results from 146 specimens showed that the positive rate of UF-1000i was 32. 9% (48/146), the positive rate of urine culture is 28. 8% (42/146). There was no significant statistical difference found (χ2 = 1.79 ,P = 0. 18 )and Kappa test showed a considerable consistency (K = 0. 775 6). The UF-1000i detection results showed the sensitivity 76. 0% ( 38/50 ), specificity 89. 6% ( 86/96 ), positive predictive value 79. 2% ( 38/48 ) and negative predictive value 87. 8% ( 86/98 ), respectively. The distribution of coccus and bacilli obtained from the UF-1000i testing was basically in accordance with the results of bacterial culture. Conclusion The "UTI-information" of UF-1000i is very important for the diagnosis of urinary tract infections.  相似文献   

8.
Objective To evaluate the application value of UF-1000i automated urine formed elements analyzer in the diagnosis of urinary tract infection. Methods 150 urine specimens were analyzed using the UF-1000i in parallel with detection of leukocyte, yeast-like fungus, and bacteria. These detection results were collected for evaluation of urinary tract infection and scatter grams were recorded. At the same time, these samples were cultured for bacterial identification, which results were compared with that of the UF-1000i. The clinical diagnose criteria of the UTI was performed as golden standard. As compare with results obtained with UF-1000i, the sensitivity and specificity of UF-1000i for diagnosis of urinary tract infection were evaluated, and the consistency were analyzed among scatter grams, bacterial culture and final diagnosis. Results The statistical results from 146 specimens showed that the positive rate of UF-1000i was 32. 9% (48/146), the positive rate of urine culture is 28. 8% (42/146). There was no significant statistical difference found (χ2 = 1.79 ,P = 0. 18 )and Kappa test showed a considerable consistency (K = 0. 775 6). The UF-1000i detection results showed the sensitivity 76. 0% ( 38/50 ), specificity 89. 6% ( 86/96 ), positive predictive value 79. 2% ( 38/48 ) and negative predictive value 87. 8% ( 86/98 ), respectively. The distribution of coccus and bacilli obtained from the UF-1000i testing was basically in accordance with the results of bacterial culture. Conclusion The "UTI-information" of UF-1000i is very important for the diagnosis of urinary tract infections.  相似文献   

9.
Objective To evaluate the application value of UF-1000i automated urine formed elements analyzer in the diagnosis of urinary tract infection. Methods 150 urine specimens were analyzed using the UF-1000i in parallel with detection of leukocyte, yeast-like fungus, and bacteria. These detection results were collected for evaluation of urinary tract infection and scatter grams were recorded. At the same time, these samples were cultured for bacterial identification, which results were compared with that of the UF-1000i. The clinical diagnose criteria of the UTI was performed as golden standard. As compare with results obtained with UF-1000i, the sensitivity and specificity of UF-1000i for diagnosis of urinary tract infection were evaluated, and the consistency were analyzed among scatter grams, bacterial culture and final diagnosis. Results The statistical results from 146 specimens showed that the positive rate of UF-1000i was 32. 9% (48/146), the positive rate of urine culture is 28. 8% (42/146). There was no significant statistical difference found (χ2 = 1.79 ,P = 0. 18 )and Kappa test showed a considerable consistency (K = 0. 775 6). The UF-1000i detection results showed the sensitivity 76. 0% ( 38/50 ), specificity 89. 6% ( 86/96 ), positive predictive value 79. 2% ( 38/48 ) and negative predictive value 87. 8% ( 86/98 ), respectively. The distribution of coccus and bacilli obtained from the UF-1000i testing was basically in accordance with the results of bacterial culture. Conclusion The "UTI-information" of UF-1000i is very important for the diagnosis of urinary tract infections.  相似文献   

10.
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.  相似文献   

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韶关市农村留守儿童孤独感状况调查   总被引:1,自引:0,他引:1  
目的了解广东省韶关市农村地区留守儿童孤独感现状及其影响因素。方法对韶关市某地区两所农村小学3~6年级学生中的489名留守儿童采用儿童孤独量表和自编调查表进行问卷调查。结果17.6%留守儿童存在孤独感,不同性别孤独感发生率无差异性,不同年龄及不同年级间孤独感发生率差异均有极显著性(P〈0.01);随年级增加,孤独感发生率呈下降趋势(X^2趋势=5.970,P〈0.05)。留守儿童孤独感与健康状况、学习成绩、学习困难程度、父母教育方式、父母间关系和老师教育方式等因素显著相关(P〈0.01~0.05)。结论农村地区留守儿童中存在一定程度的孤独感问题,老师和家长应以正确的态度和方法对待留守儿童,以减少其孤独感的发生。  相似文献   

17.
目的对比观察产科新生儿不同部位经皮胆红素(TCB)报警预值的可靠性。方法132例产科新生儿采取随机数字分组法分为正常产组和剖宫产组各66例,新生儿均于产后第4天同一时间点应用KJ8000经皮测黄仪分别测量额、胸、腹、额胸、额胸腹TCB值,TCB〉12.9mg/dl者,取得亲属同意抽取静脉血检测血清胆红素(SB),对比分析不同部位TCB及其与sB值的差异。结果两组分别有17例或21例达到TCB报警预值。两组TCB或sB相同方法及相同部位比较,差异无统计学意义(P〉0.05);两组TCB不同部位对比,额部值最低、胸部值最高,且与其他部位同组对比差异均有统计学意义(P〈0.01);两组sB值对比差异无统计学意义(t=1.53,P〉0.05),与不同部位TCB对比均以胸部数值差异无统计学意义(P〉0.05),而与其他部位TCB两组差异均有统计学意义(P〈0.01)。结论正常产与剖宫产新生儿术后sB对比差异无意义;TCB动态监测以胸部结果更接近SB。  相似文献   

18.
Physiatrists are a valuable resource in legal settings, where assessment of functional capacity to perform work and of future medical needs must be determined. Physiatrists help determine what future medical care is needed to restore and maintain an individual at the maximum level of life function. This article focuses on the use of a quality of life (QOL) rehabilitation model, rather than a medical model, for enhancing functional performance, modifying environments, and facilitating patient coping. We discuss use of the QOL model to describe and influence a patient's physical, psychological, cognitive, vocational/economic, and social/leisure domains.  相似文献   

19.
目的:了解江汉油田血液透析(血液透析)患者家庭护理提供者(护理者)的生活质量。方法:对60例血液透析患者的家庭护理提供者进行一般情况和生活质量综合评定问卷(QOLI-74)调查,并进行相关性和多因素回归分析。结果:家庭护理提供者各维度的主观生活满意度与其客观指标相关,但也与其需求、年龄、文化程度、与患者的关系有关。结论:客观状态是影响主观生活满意度的重要因素,同时应考虑护理者的需求、年龄、文化程度、与患者的关系对护理者主观生活满意度的影响。  相似文献   

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失眠症又称不寐,指入睡困难,或维持睡眠障碍(易醒、早醒和再入睡困难)导致睡眠时间减少或睡眠质量下降,不能满足身体生理需要,明显影响日间社会功能和生活质量。现将星状神经节阻滞治疗失眠疗效观察总结如下。  相似文献   

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