Comparative Molecular Study on Diagnosis of TB by Ligase Chain Reaction (LCR) and Polymerase Chain Reaction (PCR)"
Mohamed Mohamed El-Sebae;
Abstract
The purpose of this study was to compare the performance of LCx M tuberculosis assay for the direct detection of MTB complex in human clinical specimens with PCR, BACTEC culture, and staining techniques.
A total of 62 specimens collected from 62 patients were tested by means of DNA amplification methods, LCR and PCR, also with BACTEC culture and direct microscopy (Ziehl-Neelsen staining). The specimens included 37 sputa, 4 brochial aspirates,
13 urine, 5 pleural fluid, one specimen from feces, cold abscess, and knee effusion.
Routine tuberculin skin test, and the final clinical diagnosis for each patient in the conflicted sample were analyzed carefully.
In this study, diabetes mellitus and cigarette smoking revealed statistically high significant (P < 0.01), representing high risk factors.
Among the 21 specimens positive BACTEC culture, 20 (95%) were detected by LCR, 17 (81%) were detected by PCR,
12 (57%) were detected by ZN smear staining, and 15 (71.4%)
were detected by tuberculin skin test.
One of the 21 specimens positive BACTEC culture was identified by BACTEC-NAP differentiation test and biochemical reactions as aM bovis.
The sensitivity, specificity, accuracy, and positive and
negative predictive values for PCR and LCR assays compared with r
I
culture results, were 81.0, 100, 93.2, 100, and 90.5% respectively I
I'
for PCR, while for LCR were 95.2, 100, 98.3, 100, and 97.4%
respectively, these values rose in resolving the M bovis case to
100, 100, 99.27, 100, and 90.5% respectively for LCR, while for \
acid-fast staining were 57.1, 84.2, 74.6, 66.7, and 78.1% r
i
respectively.
Statistical analysis revealed that LCR had more excellent agreement (K = 0.963) than PCR.
These results. indicate that the LCx MTB assay is rapid, fairly sensitive, and highly specific. It can also be effectively used to provide an information for rapid diagnosis in detecting M. tuberculosis in respiratory and non-respiratory specimens.
A total of 62 specimens collected from 62 patients were tested by means of DNA amplification methods, LCR and PCR, also with BACTEC culture and direct microscopy (Ziehl-Neelsen staining). The specimens included 37 sputa, 4 brochial aspirates,
13 urine, 5 pleural fluid, one specimen from feces, cold abscess, and knee effusion.
Routine tuberculin skin test, and the final clinical diagnosis for each patient in the conflicted sample were analyzed carefully.
In this study, diabetes mellitus and cigarette smoking revealed statistically high significant (P < 0.01), representing high risk factors.
Among the 21 specimens positive BACTEC culture, 20 (95%) were detected by LCR, 17 (81%) were detected by PCR,
12 (57%) were detected by ZN smear staining, and 15 (71.4%)
were detected by tuberculin skin test.
One of the 21 specimens positive BACTEC culture was identified by BACTEC-NAP differentiation test and biochemical reactions as aM bovis.
The sensitivity, specificity, accuracy, and positive and
negative predictive values for PCR and LCR assays compared with r
I
culture results, were 81.0, 100, 93.2, 100, and 90.5% respectively I
I'
for PCR, while for LCR were 95.2, 100, 98.3, 100, and 97.4%
respectively, these values rose in resolving the M bovis case to
100, 100, 99.27, 100, and 90.5% respectively for LCR, while for \
acid-fast staining were 57.1, 84.2, 74.6, 66.7, and 78.1% r
i
respectively.
Statistical analysis revealed that LCR had more excellent agreement (K = 0.963) than PCR.
These results. indicate that the LCx MTB assay is rapid, fairly sensitive, and highly specific. It can also be effectively used to provide an information for rapid diagnosis in detecting M. tuberculosis in respiratory and non-respiratory specimens.
Other data
| Title | Comparative Molecular Study on Diagnosis of TB by Ligase Chain Reaction (LCR) and Polymerase Chain Reaction (PCR)" | Other Titles | دراسة جزيئية مقارنة لتشخيص مرض الدرن بواسطة تفاعل الربط المتسلسل وتفاعل البلمرة المتسلسل | Authors | Mohamed Mohamed El-Sebae | Issue Date | 2000 |
Attached Files
| File | Size | Format | |
|---|---|---|---|
| B13693.pdf | 890.03 kB | Adobe PDF | View/Open |
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