| Literature DB >> 30513085 |
Jose Gabriel Cornejo Garcia1, Valentina Antonieta Alarcón Guizado2, Alberto Mendoza Ticona3, Edith Alarcon4, Einar Heldal5, David A J Moore6,7.
Abstract
BACKGROUND: Resistance to isoniazid is the most common form of drug-resistance in tuberculosis. However only a tiny proportion of TB patients in the world have access to isoniazid drug susceptibility testing-the widely implemented Xpert MTB/RIF technology only tests for resistance to rifampicin. Patients with isoniazid mono resistance that is not identified at baseline are treated with a standard regimen that effectively results in rifampicin mono-therapy during the latter four months of the six month treatment course, exposing remaining viable organisms to a single agent and greatly increasing the risk of development of multi drug-resistant TB. Unusually, Peru has pioneered universal pre-treatment drug susceptibility testing with methods that identify isoniazid resistance and has thus identified a large number of individuals requiring tailored therapy. Since 2010, treatment in Peru for isoniazid-resistant tuberculosis without multidrug-resistant tuberculosis (Hr-TB) has been with a standardized nine-month regimen of levofloxacin, rifampicin, ethambutol and pyrazinamide. The objectives of this study were to evaluate the outcomes of treatment for patients with Hr-TB initiating treatment with this regimen between January 2012 and December 2014 and to determine factors affecting these outcomes.Entities:
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Year: 2018 PMID: 30513085 PMCID: PMC6279036 DOI: 10.1371/journal.pone.0206658
Source DB: PubMed Journal: PLoS One ISSN: 1932-6203 Impact factor: 3.240
Fig 1Flowchart for case inclusion.
Characteristics of evaluated and not evaluated groups.
| Evaluated cases | Not evaluated cases | p | ||||
|---|---|---|---|---|---|---|
| n | % | n | % | |||
| Gender | F | 295 | 31.1% | 126 | 31.3% | 1.0 |
| M | 652 | 68.9% | 277 | 68.7% | ||
| Age | 0–14 | 22 | 2.3% | 8 | 2.0% | 0.03 |
| 15–34 | 603 | 63.7% | 291 | 72.2% | ||
| 35–54 | 210 | 22.2% | 67 | 16.6% | ||
| >55 | 112 | 11.8% | 37 | 9.2% | ||
| Year | 2012 | 316 | 33.4% | 80 | 19.8% | <0.05 |
| 2013 | 283 | 29.9% | 143 | 35.5% | ||
| 2014 | 348 | 36.7% | 180 | 44.7% | ||
| HIV | positive | 41 | 4.3% | 11 | 2.7% | 0.3 |
| negative | 806 | 85.1% | 344 | 85.4% | ||
| Not evaluated | 100 | 10.6% | 48 | 11.9% | ||
| Diabetes | Yes | 69 | 7.3% | 33 | 8.2% | 0.6 |
| No | 878 | 92.7% | 370 | 91.8% | ||
| Injectable TB drug | Yes | 156 | 16.5% | 51 | 12.7% | 0.08 |
| No | 791 | 83.5% | 352 | 87.3% | ||
| Location | Lima-Callao | 614 | 64.8% | 233 | 57.8% | 0.02 |
| Provinces | 333 | 35.2% | 170 | 42.2% | ||
| Rapid DST | H resistance | 760 | 80.2% | 331 | 82.1% | 0.2 |
| Not available | 159 | 16.8% | 60 | 14.9% | ||
| Susceptible | 27 | 2.8% | 9 | 2.2% | ||
| MDR-TB | 1 | 0.2% | 3 | 0.8% | ||
| APP DST | H-resistant | 285 | 30.1% | 120 | 29.8% | 0.4 |
| HS-resistant | 316 | 33.7% | 114 | 28.3% | ||
| HSEto-resistant | 109 | 11.5% | 54 | 13.4% | ||
| HEto-resistant | 64 | 6.8% | 29 | 7.2% | ||
| Other | 24 | 2.5% | 8 | 2.0% | ||
| Not available | 149 | 15.4% | 76 | 19.3% | ||
Characteristics of evaluated cases (n = 947) based on treatment outcomes.
| Cured | Completed treatment | Loss to follow-up | Failure | Death | Total | |
|---|---|---|---|---|---|---|
| All | 326 | 405 | 186 | 12 | 18 | 947 |
| Sex | ||||||
| F | 108 | 143 | 38 | 1 | 5 | 295 (31.1%) |
| M | 218 | 262 | 148 | 11 | 13 | 652 (68.9%) |
| Age (years) | ||||||
| 0–14 | 7 | 12 | 2 | 0 | 1 | 22 (2.3%) |
| 15–34 | 210 | 248 | 130 | 8 | 7 | 603 (63.7%) |
| 35–54 | 70 | 93 | 37 | 3 | 7 | 210 (22.2%) |
| >55 | 39 | 52 | 17 | 1 | 3 | 112 (11.8%) |
| Year | ||||||
| 2012 | 91 | 162 | 55 | 1 | 7 | 316 (33.7%) |
| 2013 | 109 | 104 | 60 | 1 | 9 | 283 (29.9%) |
| 2014 | 126 | 139 | 71 | 10 | 2 | 348 (36.4%) |
| HIV | ||||||
| Positive | 11 | 10 | 16 | 1 | 3 | 41 (4.3%) |
| Negative | 286 | 351 | 148 | 9 | 12 | 806 (85.1%) |
| Not evaluated | 29 | 44 | 22 | 2 | 3 | 100 (10.6%) |
| Diabetes | ||||||
| Yes | 18 | 34 | 13 | 3 | 1 | 69 (7.3%) |
| No | 308 | 371 | 173 | 9 | 17 | 878 (92.7%) |
| Location | ||||||
| Lima | 243 | 219 | 132 | 7 | 13 | 614 (64.8%) |
| Provinces | 83 | 186 | 54 | 5 | 5 | 333 (35.2%) |
| Rapid DST | ||||||
| H resistance | 277 | 321 | 142 | 8 | 12 | 760 (80.2%) |
| No rapid DST | 42 | 71 | 38 | 3 | 5 | 159 (16.8%) |
| Susceptible | 6 | 13 | 6 | 1 | 1 | 27 (2.9%) |
| MDR-TB | 1 | 1 (0.1%) | ||||
| APP DST | ||||||
| H resistance | 84 | 125 | 67 | 3 | 6 | 285 (30.1%) |
| HS-resistant | 100 | 150 | 58 | 4 | 4 | 316 (33.4%) |
| HSEto-resistant | 54 | 36 | 14 | 2 | 3 | 109 (11.5%) |
| HEto-resistant | 26 | 18 | 19 | 1 | 0 | 64 (6.8%) |
| Other | 5 | 17 | 1 | 0 | 1 | 24 (2.5%) |
| Not available | 57 | 59 | 27 | 2 | 4 | 149 (15.7%) |
| Injectable | ||||||
| Yes | 54 | 51 | 40 | 0 | 11 | 156 (16.5%) |
| No | 272 | 354 | 146 | 12 | 7 | 791 (83.5%) |
Fig 2Treatment outcome based on treatment initiation year.
Univariate and multivariate logistic regression analysis of variables that may affect treatment success.
| Univariate analysis | p | Multivariate analysis | p | |
|---|---|---|---|---|
| Female | Reference | |||
| Male | 0.48 (0.33–070) | < 0.05 | 0.50 (0.34–0.72) | < 0.05 |
| 0–14 | Reference | |||
| 15–34 | ||||
| 35–54 | ||||
| >55 | 1.00 (0.99–1.01) | 0.7 | ||
| 2012 | Reference | |||
| 2013 | ||||
| 2014 | 0.89 (0.74–1.07) | 0.2 | 0.77 (0.62–0.94) | 0.01 |
| Yes | Reference | |||
| No | ||||
| Not evaluated | 0.97 (0.92–1.03) | 0.4 | ||
| Yes | Reference | |||
| No | 1.01 (0.95–1.07) | 0.7 | ||
| Lima-Callao | Reference | |||
| Provinces | 0.72 (0.52–1.01) | 0.05 | ||
| H-resistant | Reference | |||
| Not available | ||||
| Susceptible | ||||
| MDR-TB | 0.74 (0.55–0.99) | 0.05 | 0.67 (0.50–0.91) | 0.01 |
| H-resistant | Reference | |||
| HS-resistant | ||||
| HSEto-resistant | ||||
| HEto-resistant | ||||
| Another resistance | ||||
| No APP available | 1.01 (0.96–1.06) | 0.5 | ||
| No | ||||
| Yes | 0.54 (0.37–0.79) | 0.001 | 0.46 (0.31–0.70) | < 0.05 |
Variables with p≤0.2 on univariate analysis were included in the multivariate model; for clarity, only those variables found to be statistically significantly associated with treatment outcome are shown in the table.