| Literature DB >> 20356361 |
Sabine Hofmann-Thiel1, Laziz Turaev, Harald Hoffmann.
Abstract
BACKGROUND: Tuberculosis (TB) is one of the major public health concerns worldwide. The detection of the pathogen Mycobacterium tuberculosis complex (MTBC) as early as possible has a great impact on the effective control of the spread of the disease. In our study, we evaluated the hyplex TBC PCR test (BAG Health Care GmbH), a novel assay using a nucleic acid amplification technique (NAAT) with reverse hybridisation and ELISA read out for the rapid detection of M. tuberculosis directly in clinical samples.Entities:
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Year: 2010 PMID: 20356361 PMCID: PMC2853532 DOI: 10.1186/1471-2180-10-95
Source DB: PubMed Journal: BMC Microbiol ISSN: 1471-2180 Impact factor: 3.605
Classification of samples
| Clinical group | Samples (n) |
|---|---|
| 1. infection with | 230 |
| 2. infection with | 62 |
| 3. no TB | 269 |
| 4. no TB but culture positive for non-tuberculous mycobacteria | 20 |
Figure 1ROC curve analysis. Based on the clinical classification of specimens into TB or non-TB, hyplex® TBC results were analysed at different cut-off values regarding the diagnostic performance. Therefore, the rate of false-positive PCR results (100% minus specificity) was plotted against the sensitivity at cut-off values of 0.100, 0.200, 0.300,0.325, 0.350, 0.375, 0.400, 0.500, 0.700 and 0.800, corresponding to the optical densities of the ELISA read-out.
Rate of inhibition
| specimens | inhibited specimens (n) | rate of inhibition | |
|---|---|---|---|
| Sputum | 374 | 9 | 2.4 |
| Bronchial secrete | 85 | 5 | 5.9 |
| BAL | 50 | 2 | 4.0 |
| Urine | 43 | 7 | 16.3 |
| Punctuates/fluids | 28 | 1 | 3.6 |
| Biopsies | 1 | 0 | 0 |
| TB | 292 | 2 | 0.7 |
| non-TB | 289 | 22 | 7.6 |
Sensitivity and specificity of the hyplex® TBC test
| PCR results | |||||
|---|---|---|---|---|---|
| positive (n) | negative (n) | total (n) | sensitivity (%) | specificity (%) | |
| smear-positive | 213 | 15 | 228 | 93.4 | |
| smear-negative | 28 | 34 | 62 | 45.1 | |
| non-NTM | 1 | 246 | 247 | 99.5 | |
| NTM | 1 | 19 | 20 | 95.0 | |
| smear-positive | 210 | 14 | 224 | 93.7 | |
| smear-negative | 24 | 30 | 54 | 44.4 | |
| non-NTM | 1 | 195 | 196 | 99.5 | |
| NTM | 1 | 18 | 19 | 94.7 | |
| smear-positive | 4 | 0 | 4 | 100 | |
| smear-negative | 7 | 1 | 8 | 87.5 | |
| non-NTM | 0 | 51 | 51 | 100 | |
| NTM | 0 | 1 | 1 | 100 | |
Predictive values at cut-off values 0.400 and 0.200
| cut-off 0.400 | cut-off 0.200 | |||||
|---|---|---|---|---|---|---|
| PCR posb | PCR negb | PCR posb | PCR negb | |||
| TB pos (n) | 199 | 41 | 221 | 19 | ||
| TB neg (n) | 21 | 2739 | 414 | 2346 | ||
| PPVc (%) | 90.4 | 34.8 | ||||
| NPVc (%) | 98.5 | 99.1 | ||||
a Based on the assumption of a mean rate of 8.0% true TB positive specimens and a total number of 3000 specimens in a routine TB laboratory per year, the resulting numbers of TB positive and negative samples were calculated.
b Based on the specificity and sensitivity values found in this study, the numbers of expected PCR positive and negative results among 3000 were calculated. Resulting numerical values were rounded.
c Positive and negative predictive values were deduced from calculated PCR positive and negative results.