| Literature DB >> 26469691 |
Neeraj Raizada1, Kuldeep Singh Sachdeva2, Soumya Swaminathan3, Shubhangi Kulsange1, Sunil D Khaparde2, Sreenivas Achuthan Nair4, Ashwani Khanna5, Kamal Kishore Chopra5, Mahmud Hanif5, Gulshan Rai Sethi5, K R Umadevi3, G Keshav Chander6, Brojakishore Saha7, Amar Shah2, Malik Parmar4, Mayank Ghediya2, Jyoti Jaju2, Catharina Boehme1, Chinnambedu Nainarappan Paramasivan1.
Abstract
BACKGROUND: India accounts for one-fifth of the global TB incidence. While the exact burden of childhood TB is not known, TB remains one of the leading causes of childhood mortality in India. Bacteriological confirmation of TB in children is challenging due to difficulty in obtaining quality specimens, in the absence of which diagnosis is largely based on clinical judgement. While testing multiple specimens can potentially contribute to higher proportion of laboratory confirmed paediatric TB cases, lack of high sensitivity tests adds to the diagnostic challenge. We describe here our experiences in piloting upfront Xpert MTB/RIF testing, for diagnosis of TB in paediatric population in respiratory and extra pulmonary specimens, as recently recommended by WHO.Entities:
Mesh:
Substances:
Year: 2015 PMID: 26469691 PMCID: PMC4607299 DOI: 10.1371/journal.pone.0140375
Source DB: PubMed Journal: PLoS One ISSN: 1932-6203 Impact factor: 3.240
Fig 1Project diagnostic algorithm.
Fig 2Flow chart of presumptive TB and DR-TB case enrolment and TB detection.
Demographic profile of presumptive TB and DR-TB cases.
| Presumptive TB cases | % | Presumptive DR-TB cases | % | Total | |
|---|---|---|---|---|---|
| Total | 8143 | 97.3% | 227 | 2.7% |
|
| Gender | |||||
|
| 3688 | 45.3% | 116 | 51.1% | 3804 |
|
| 4454 | 54.7% | 111 | 48.9% | 4565 |
|
| 1 | 0.0% | 0 | 0.0% | 1 |
| Age group (yrs) | 0 | ||||
|
| 2355 | 28.9% | 30 | 13.2% | 2385 |
|
| 2794 | 34.3% | 64 | 28.2% | 2858 |
|
| 2994 | 36.8% | 133 | 58.6% | 3127 |
| Past History of anti TB treatment | 0 | ||||
|
| 749 | 9.2% | 1 | 0.4% | 750 |
|
| 7193 | 88.3% | 17 | 7.5% | 7210 |
|
| 201 | 2.5% | 209 | 92.1% | 410 |
| Smear Microscopy | 0 | ||||
|
| 424 | 5.2% | 17 | 7.5% | 441 |
|
| 7553 | 92.8% | 163 | 71.8% | 7716 |
|
| 166 | 2.0% | 47 | 20.7% | 213 |
| No TB | 7626 | 93.7% | 125 | 55.1% | 7751 |
| Bacteriologically confirmed TB | 517 | 6.3% | 102 | 44.9% | 619 |
|
| 329 | 63.6% | 48 | 47.1% | 377 |
|
| 22 | 4.3% | 7 | 6.9% | 29 |
|
| 161 | 31.1% | 47 | 46.1% | 208 |
|
| 5 | 1.0% | 0 | 5 | |
|
| 0 | 0 | 0 | ||
|
| 0 | 0 | 0 |
Fig 3Various types of specimens tested on Xpert MTB/RIF.
Additional gain on Xpert MTB/RIF over smear microscopy-specimen wise analysis.
| Type of Specimen | Total presumptive TB cases | Cases with simultaneous smear and Xpert MTB/RIF done | Specimen tested | Xpert MTB/RIF Positive | % | Smear Positive | % | Additional gain (Fold) | OR (95% CI) |
|---|---|---|---|---|---|---|---|---|---|
|
| 4349 | 4156 | 4397 | 237 | 5.4% | 146 | 3.3% | 1.6 | 1.6 (1.3–2.0) |
|
| 2648 | 2541 | 2806 | 167 | 6.0% | 41 | 1.5% | 4.1 | 4.2 (3.0–6.0) |
|
| 551 | 475 | 564 | 40 | 7.1% | 0 | 0.0% | ||
|
| 195 | 183 | 186 | 6 | 3.2% | 5 | 2.7% | 1.2 | 1.2 (0.3–4.0) |
|
| 186 | 180 | 221 | 34 | 15.4% | 5 | 2.3% | 6.8 | 7.8 (3.0–20.4) |
|
| 73 | 58 | 67 | 24 | 35.8% | 5 | 7.5% | 4.8 | 6.9 (2.4–19.5) |
|
| 54 | 49 | 59 | 21 | 35.6% | 4 | 6.8% | 5.3 | 7.5 (2.4–23.9) |
|
| 44 | 42 | 52 | 0 | 0.0% | 0 | 0.0% | 0.0 | |
|
| 8 | 7 | 8 | 1 | 12.5% | 1 | 12.5% | 1.0 | |
|
| 8 | 5 | 6 | 0 | 0.0% | 0 | 0.0% | 0.0 | |
|
| 27 | 23 | 27 | 6 | 10.5% | 3 | 5.3% | 2.0 | 2.1 (0.5–8.9) |
| Total | 8143 | 7719 | 8396 | 536 | 6.4% | 210 | 2.5% | 2.6 | 2.6 2.2–3.1) |
*Others = Cervical Aspirate, Peritoneal Fluid, Tracheal aspirate, Abscess, Synovial Fluid, Bone, Chyle fluid, Nasal Aspirate, Pleural Biopsy, Thoracic swab, ET secretion, pericardial fluid.
Effect of upfront Xpert MTB/RIF on rifampicin-resistant TB case detection.
| Presumptive TB cases | Xpert Positive | Rif Resistant TB | Presumptive DR-TB cases | Xpert Positive | Rif Resistant TB | Total Xpert Positive | Total Rif Resistant TB | OR | ||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| N | % | N | % | N | % | 95% CI | ||||||
|
| 8143 | 512 | 38 | 7.4% | 227 | 102 | 22 | 21.6% | 614 | 60 | 9.8% |
|
|
|
|
| ||||||||||
|
| 2355 | 108 | 12 | 11.1% | 30 | 8 | 3 | 37.5% | 116 | 15 | 12.9% | 1.4 (0.7–2.8) |
|
| 2794 | 122 | 9 | 7.4% | 64 | 26 | 4 | 15.4% | 148 | 13 | 8.8% | 0.9 (0.4–1.8) |
|
| 2994 | 282 | 17 | 6.0% | 133 | 68 | 15 | 22.1% | 350 | 32 | 9.1% | 1 |
|
| ||||||||||||
|
| 3688 | 327 | 20 | 6.1% | 116 | 62 | 13 | 21.0% | 389 | 33 | 8.5% | 1 |
|
| 4454 | 185 | 18 | 9.7% | 111 | 40 | 9 | 22.5% | 225 | 27 | 12.0% | 1.4 (0.8–2.5) |
|
| 1 | 0 | 0 | 0.0% | 0 | 0 | 0 | 0 | 0 | |||
|
| ||||||||||||
|
| 749 | 27 | 0 | 0.0% | 1 | 1 | 0 | 0.0% | 28 | 0 | 0.0% | |
|
| 7193 | 451 | 37 | 8.2% | 17 | 7 | 3 | 42.9% | 458 | 40 | 8.7% | 1 |
|
| 201 | 34 | 1 | 2.9% | 209 | 94 | 19 | 20.2% | 128 | 20 | 15.6% | 1.9 (1.0–3.4) |
|
| ||||||||||||
|
| 424 | 22 | 2 | 9.1% | 17 | 7 | 0 | 0.0% | 29 | 2 | 6.9% | |
|
| 7553 | 329 | 24 | 7.3% | 163 | 48 | 7 | 14.6% | 377 | 31 | 8.2% | 1 |
|
| 166 | 161 | 12 | 7.5% | 47 | 47 | 15 | 31.9% | 208 | 27 | 13.0% | 1.6 (0.9–2.8) |
|
| ||||||||||||
|
| 22 | 17 | 39 | |||||||||
|
| 8 | 2 | 10 | |||||||||
|
| 8 | 3 | 11 | |||||||||