| Literature DB >> 32267877 |
Tekle Airgecho Lobie1,2,3, Yimtubezinash Woldeamanuel2, Daniel Asrat2, Demissew Beyene1, Magnar Bjørås3,4, Abraham Aseffa1.
Abstract
INTRODUCTION: Tuberculosis (TB) remains a major global public health problem and is the leading cause of death from a single bacterium, Mycobacterium tuberculosis (MTB) complex. The emergence and spread of drug-resistant strains aggravate the problem, especially in tuberculosis high burden countries such as Ethiopia. The supposedly high initial cost of laboratory diagnosis coupled with scarce financial resources has limited collection of information about drug resistance patterns and circulating strains in peripheral and emerging regions of Ethiopia. Here, we investigated drug susceptibility and genetic diversity of mycobacterial isolates among pulmonary tuberculosis patients in the Benishangul Gumuz region and its surroundings in northwest Ethiopia. METHODS AND MATERIAL: In a cross-sectional study, 107 consecutive sputum smear-positive pulmonary tuberculosis (PTB) patients diagnosed at two hospitals and seven health centers were enrolled between October 2013 and June 2014. Sputum samples were cultured at Armauer Hansen Research Institute (AHRI) TB laboratory, and drug susceptibility testing (DST) was performed against Isoniazid, Rifampicin, Ethambutol, and Streptomycin using the indirect proportion method. Isolates were characterized using polymerase chain reaction (PCR)based Region of Difference 9 (RD9) testing and spoligotyping. Statistical analysis was performed using Statistical Package for the Social Sciences (SPSS) for Windows version 24.0.Entities:
Year: 2020 PMID: 32267877 PMCID: PMC7141659 DOI: 10.1371/journal.pone.0231320
Source DB: PubMed Journal: PLoS One ISSN: 1932-6203 Impact factor: 3.240
Fig 1Map of the study area, Benishangul Gumuz region and its surroundings.
Health institutions included in the current study are indicated by a house symbol H, and the hospitals encircled red. Dots represent towns in the region.
Fig 2Overview of the workflow for data collection and the laboratory methods.
Sociodemographic and clinical characteristics of culture positive TB patients (n = 87) from the Benishangul Gumuz region and its surroundings, northwest Ethiopia from October 2013-June 2014.
| Characteristics | Categories | Variables | Frequency |
|---|---|---|---|
| Gender | Male | 65 (74.7) | |
| Female | 22 (25.3) | ||
| Residence | Urban | 22 (25.3) | |
| Rural | 65 (74.7) | ||
| Occupation | Farmer | 40 (46) | |
| Merchant | 6 (6.9) | ||
| Gov’t employee | 11 (12.6) | ||
| Student | 8 (9.2) | ||
| Daily laborer | 21 (24.1) | ||
| Prisoner | 1 (1.1) | ||
| Educational status | Illiterate | 34 (39.1) | |
| Grade1-4 | 10 (11.5) | ||
| Grade 5–8 | 18 (20.7) | ||
| Grade 9–12 | 16 (18.4) | ||
| Diploma and+ | 9 (6.9) | ||
| Marital status | Married | 48 (55.2) | |
| Single | 36 (41.4) | ||
| Divorced | 1 (1.1) | ||
| Widowed | 2 (2.3) | ||
| Age groups | <18 | 5 (5.7) | |
| 18–27 | 38 (43.7) | ||
| 28–37 | 31 (35.6) | ||
| 38–47 | 8 (9.2) | ||
| 48–57 | 4 (4.6) | ||
| >57 | 1 (1.1) | ||
| HIV Status | Positive | 10 (11.5) | |
| Negative | 52 (59.8) | ||
| Unknown | 25 (28.7) | ||
| TB patient contact history | Yes | 20 (23) | |
| No | 51 (58.6) | ||
| Unknown | 16 (18.4) | ||
| Previous anti-TB treatment | Yes | 12 (13.8) | |
| No | 73 (83.9) | ||
| Unknown | 2 (2.3) |
A. Drug resistance pattern of first-line anti-TB drugs among culture positive TB patients (n = 87) in the Benishangul Gumuz region and its surroundings, Northwest Ethiopia, 2013/14.
| INH | 6 (6.90) | 81 (93.10) | Monodrug resistant | ||
| ETB | 2 (2.30) | 85 (97.70) | |||
| STM | 1 (1.15) | 86 (98.85) | |||
| INH and ETB | 3 (3.45) | 84 (96.55) | Poly drug-resistant | ||
| INH, ETB, and RIF | 1 (1.15) | 86 (98.85) | MDR | ||
| INH, ETB, RIF, and STM | 1 (1.15) | 86 (98.85) | |||
| INH | 6 (6.90) | 81 (93.10) | |||
| INH and ETB | 3 (3.40) | 84 (96.60) | |||
| INH, ETB, and RIF | 1 (1.15) | 86 (98.85) | |||
| INH, ETB, RIF, and STM | 1 (1.15) | 86 (98.85) | |||
| Total | 11 (12.60) | 76 (87.40) | |||
| ETB | 2 (2.30) | 85 (97.70) | |||
| INH and ETB | 3 (3.40) | 84 (96.60) | |||
| INH, ETB, and RIF | 1 (1.15) | 86 (98.85) | |||
| INH, ETB, RIF, and STM | 1 (1.15) | 86 (98.85) | |||
| Total | 7 (8.0) | 80 (92.0) | |||
| INH, ETB, and RIF | 1 (1.15) | 86 (98.85) | |||
| INH, ETB, RIF, and STM | 1 (1.15) | 86 (98.85) | |||
| Total | 2 (2.30) | 85 (97.70) | |||
| STM | 1 (1.15) | 86 (98.85) | |||
| INH, ETB, RIF, and STM | 1 (1.15) | 86 (98.85) | |||
| Total | 2 (2.30) | 85 (97.70) | |||
INH: Isoniazid, ETB: Ethambutol, RIF: Rifampicin, STM: Streptomycin; *MDR = Multidrug resistant
* “Index drug” stands for the primary drug for which grouping the resistance profile is based.
Fig 3A and B. The magnitude of first-line anti-TB drug resistance profile of the M. tuberculosis isolates from culture positive TB patients (n = 87) in the Benishangul Gumuz region and its surroundings, North West Ethiopia, 2013/14.
Fig 4Spoligotyping pattern of M. tuberculosis isolates from culture positive TB patients (n = 75) in the Benishangul Gumuz region and its surroundings, North West Ethiopia, 2013–14.
Bivariate logistic analysis of factors associated with resistance to any one of anti-TB drug.
| Variable | Any drug resistance | COR | |||
|---|---|---|---|---|---|
| Yes N | No N | ||||
| Gender | M | 8 | 57 | 1 | |
| F | 6 | 16 | 0.37 | 0.107 | |
| Residence | Urban | 1 | 21 | 1 | |
| Rural | 13 | 52 | 0.19 | 0.121 | |
| HIV status | Positive | 1 | 9 | 1 | |
| Negative | 8 | 44 | 0.73 | 0.614 | |
| Unknown | 5 | 20 | 0.44 | 0.487 | |
| Previous treatment history | Yes | 5 | 11 | 1 | |
| No | 9 | 62 | 3.13 | 0.078 | |
| Previous contact with TB patient | Yes | 6 | 21 | 1 | |
| No | 8 | 52 | 1.86 | 0.301 | |
| Education status | Illiterate | 7 | 27 | 1 | |
| Literate | 7 | 46 | 1.70 | 0.078 | |
| Lineages | Lineage 1 (IO) | 0 (0.0) | 1(100.0) | NA | NA |
| Lineage 2 (EAS) | 0(0.0) | 1(100.0) | NA | NA | |
| Lineage 3 (EAI) | 4(26.7) | 11(73.3) | NA | NA | |
| Lineage 4 (EA) | 9(16.1) | 47(83.9) | 1.40 (0.043, 44.9) | 0.85 | |
| Strains (SIT) | New | 5 (15.2) | 28 (84.8) | 1 | |
| Previously defined | 8 (19.0) | 34 (91.0) | 0.76 (0.22,2.58) | 0.66 | |
*% calculated by row