| Literature DB >> 35745490 |
Afsatou Ndama Traoré1, Mpumelelo Casper Rikhotso1, Ntshuxeko Thelma Banda1, Maphepele Sara Mashilo1, Jean Pierre Kabue Ngandu1, Vuyo Mavumengwana2, Andre G Loxton2, Craig Kinnear2,3, Natasha Potgieter1, Scott Heysell4, Rob Warren2.
Abstract
BACKGROUND: In 2018, an estimated 10.0 million people contracted tuberculosis (TB), and 1.5 million died from it, including 1.25 million HIV-negative persons and 251,000 HIV-associated TB fatalities. Drug-resistant tuberculosis (DR-TB) is an important contributor to global TB mortality. Multi-drug-resistant TB (MDR-TB) is defined as TB resistant to at least isoniazid (INH) and rifampin (RMP), which are recommended by the WHO as essential drugs for treatment.Entities:
Keywords: Africa; bedaquiline (BDQ); drug-resistant TB; isoniazid (INH); rifampin (RMP); treatment
Year: 2022 PMID: 35745490 PMCID: PMC9229213 DOI: 10.3390/pathogens11060636
Source DB: PubMed Journal: Pathogens ISSN: 2076-0817
Characteristics of studies containing bedaquiline as an alternative drug for drug-resistant TB treatment.
| Author * | Period *** | Country ** | Population Size # | Age ## | Gender | Inpatient #* | Outpatient ^ | HIV Status (Positive) ” | On Antiretroviral Therapy ”” | Multidrug Resistant/Rifampicin-Resistant **^ | Pre-Extensively Drug Resistant ^^^ | XDR-TB ^^* |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Total | 2008–2021 | - | 22,368 | ≥15 years | 22,073 | 719 | 577 | 15,345 | 13,670 | 19,839 | 220 | 2124 |
| Borisov et al., 2017 [ | 2008–2016 | Africa, Asia, Europe, Oceania and America | 428 patients | >15 years | 263 Male/165 Female | 179 | - | 94 (22%) | 92 (21%) | 105 (24%) | - | 195 (45%) |
| Vambe et al., 2020 [ | 2015–2018 | Eswatini | 352 patients | >18 years | 206 Male/145 Female | - | - | 271 (77%) | 271 (77%) | 196 (56%) | 46 (13%) | 44 (12%) |
| Dheda et al., 2017 [ | 2008–2012 | South Africa | 273 patients | - | 154 Male/119 Female | - | 172 | 119 (43%) | 108 (39%) | - | - | 273 (100%) |
| Ferlazzo et al., 2018 [ | 2016 | India and South Africa | 28 patients | >18 years | 17 Male/11 Female | - | - | 11 (39%) | - | 2 (7%) | 10 (36%) | 14 (50%) |
| Conradie et al., 2020 [ | 2015–2017 | South Africa | 109 patients | >14 years | 57 Male/52 Female | - | - | 56 (51%) | - | 38 (35%) | - | 71 (65%) |
| Zhao et al., 2019 [ | 2015–2017 | South Africa | 330 patients | >18 years | 190 Male/140 Female | - | - | 204 (62%) | 94 (28%) | 330 (100%) | - | - |
| Bouton et al., 2019 [ | 2015–2017 | South Africa | 173 patients | >18 years | 91 Male/82 Female | 173 | - | 108 (62%) | - | 173 (100%) | - | - |
| Schnippel et al., 2018 [ | 2014–2016 | South Africa | 19,617 patients | >15 years | 10,959 Male/8658 Female | - | - | 13,893 (71%) | 12,430 (63%) | 18,542 (94%) | 1075 (5%) | |
| Olayanju et al., 2018 [ | 2008–2017 | South Africa | 272 patients | >18 years | 161 Male/111 Female | 272 | - | 135 (50%) | 125 (46%) | - | - | 272 (100%) |
| Olayanju et al., 2019 [ | 2014–2018 | South Africa | 63 patients | >18 years | 39 Male/24 Female | 63 | - | 37 (59%) | - | - | - | 63 (100%) |
| Nimmo et al., 2020 [ | 2016–2019 | South Africa | 297 patients | >18 years | 45 Male/47 Female | - | 297 | 137 (46%) | 297 (100%) | 297 (100%) | - | - |
| Ndjeka et al., 2015 [ | 2013–2014 | South Africa | 91 patients | >18 years | 55 Male/36 Female | - | - | 54 (59%) | 54 (59%) | - | 57 (63%) | 34 (37%) |
| Bastard et al., 2019 [ | 2015–2018 | Mozambique | 19 patients | >18 years | 11 Male/8 Female | - | - | 12 (63%) | 12 (63%) | 19 (100%) | - | - |
| Loveday et al., 2021 [ | 2013–2017 | South Africa | 108 patients | - | 108 Female | - | 108 | 88 (81%) | 74 (68%) | 108 (100%) | - | - |
| Brust et al., 2021 [ | 2016–2018 | South Africa | 195 patients | >18 years | 84 Male/111 Female | - | - | 123 (63%) | 113 (58%) | 29 (15%) | 78 (40%) | 80 (41%) |
| Kashongwe et al., 2020 [ | 2016–2017 | DR of Congo | 32 patients | >18 years | 18 Male/14 Female | 32 | - | 3 (9%) | - | - | 29 (91%) | 3 (9%) |
* Author: Author of the published study included. ** County: Country where study was done *** Period: The period when the study was carried out. # Population size: The number of study participants. ## Age: The age range of participants. ### Gender: The gender of participants. #* Inpatient: Hospitalized patients. ^ Outpatient: Non-hospitalized patients. ” HIV status: Participants who were HIV-positive. ”” On Antiretroviral: Cases of participants taking ARVs. **^ MDR: MDR-TB cases. XDR: ^^* XDR-TB cases and ^^^ Pre-XDR: Pre-XDR-TB cases.
Included studies’ treatment outcomes.
| Author ^^^ | BDQ * | Without BDQ ** | BDQ + Other Drugs *^ | Successful/Cured **^^ | Treatment Completion # | Died ## | Treatment Failed ### | Lost to Follow-Up ” |
|---|---|---|---|---|---|---|---|---|
| Total | 2033 | 519 | 19,630 | 9465 | 8653 | 9265 | 1166 | 99 |
| Borisov et al., 2017 | - | - | 428/428 (100%) | 176/428 (41%) | 22/428 (5%) | 33/428 (8%) | 19/428 (4%) | - |
| Vambe et al., 2020 | 292/352 (83.0%) | - | 60 (17%) | 139/352 (39%) | 1/352 (0.2%) | 51/352 (14%) | 6/352 (2%) | - |
| Dheda et al., 2017 | - | - | 273/273 (100%) | 57/273 (21%) | - | 186/273 (68%) | 203/273 (74%) | - |
| Ferlazzo et al., 2018 | - | - | 28/28 (100%) | 22/28 (78%) | - | 1/28 (3%) | 1/28 (3%) | |
| Conradie et al., 2020 | - | - | 109/109 (100%) | 98/109 (90%) | 98/109 (90%) | 7/109 (6.4%) | 11/109 (10%) | 1/109 (1%) |
| Zhao et al., 2019 | 162/330 (49%) | 168/330 (51%) | - | 259/330 (79%) | - | 50/330 (15%) | 71/330 (21%) | 38/330 (11%) |
| Bouton et al., 2019 | 76/173 (43.9%) | 97/173 (56.1%) | - | - | - | - | 2 (1%) | - |
| Schnippel et al., 2018 | 1016/19,617 (5%) | 18,601/19,617 (95%) | 8307/19,617 (42%) | 8307/19,617 (42%) | 8788/19,617 (45%) | 763/19,617 (4%) | - | |
| Olayanju et al., 2018 | - | 204/272 (75%) | 68/272 (25%) | 72/272 (26%) | 72/272 (26%) | 79/272 (29%) | 57/272 (21%) | 30/272 (11%) |
| Olayanju et al., 2019 | - | - | 63/63 (100%) | 45/63 (71%) | 45/63 (71%) | - | 18/63 (28%) | - |
| Nimmo et al., 2020 | 92/92 (100%) | - | - | 73/92 (79.3%) | - | 19/92 (20.7%) | - | - |
| Ndjeka et al., 2015 | 91/91 (100%) | - | - | - | 58/91 (64%) | 3/91 (3%) | 5/91 (5.5%) | 4/91 (4%) |
| Bastard et al., 2019 | 19/19 (100%) | - | - | 13/19 (68%) | 3/19 (16%) | - | - | - |
| Loveday et al., 2021 | 58/108 (54%) | 50/108 (46%) | - | 58/108 (54%) | 14/108 (13%) | 8/108 (7%) | 3/108 (3%) | 25/108 (23%) |
| Brust et al., 2021 | 195/195 (100%) | - | - | 129/195 (66%) | 16/195 (8%) | 25/195 (13%) | 8/195 (4%) | - |
| Kashongwe et al., 2020 | 32/32 (100%) | - | - | 17/32 (53%) | 17/32 (53%) | 15/32 (46.8%) | - | - |
Author ^^^: Author of the published study included. BDQ *: Patients taking BDQ. Without BDQ **: Patients not taking BDQ. BDQ + other drugs *^: Patients taking BDQ and other drugs. Successful/Cured **^^: Successfully treated. Treatment completion #: Completed treatment course. Died ##: Died during the study. Treatment failed ###: Failed treatment during the study. Lost to follow-up ”: The participants stopped coming for follow-up/checkups.
Figure 1Forest plot with two subgroups (BDQ vs. BDQ + OTHER). The results of the individual studies are shown grouped together according to their subgroup. The summary polygon at the bottom of the plot shows the results from a random-effects model when analyzing all included studies [6,7,8,9,10,11,14,15,17,18,19,20,21,22,23].
Figure 2Forest plot showing the positive association between HIV and the use of ARVs in DR-TB therapy with BDQ or BDQ with other drugs. The summary polygon at the bottom of the plot shows the results from a random-effects model when analyzing all included studies [6,7,8,9,11,14,15,17,18,19,20,21,22,23].
Figure 3Flow chart of literature search and review process for study selection.