INTRODUCTION
Carbapenems are the last-resort antibiotics used to treat severe infections caused by multidrug-resistant bacteria [1, 2]. Unfortunately, the world has been witnessing the spread of carbapenem-resistant bacteria (CRB) for the last two decades [3-5]. According to the World Health Organization (WHO), carbapenem-resistant Enterobacteriaceae, Acinetobacter baumannii, and Pseudomonas aeruginosa should be considered critical priority pathogens, posing the greatest threat to human health [6].
Three major mechanisms can lead to carbapenem resistance: (i) production of carbapenemases (enzymes hydrolyzing carbapenems); (ii) overexpression of efflux pumps; and (iii) quantitative loss of and/or mutations in outer membrane porins combined with the production of extended-spectrum β-lactamases (ESBL) or cephalosporinases [1, 7, 8].
As new antibiotics are rarely discovered [9], it is imperative to conduct epidemiological, preventive, and curative actions in every part of the globe to contain or postpone the occurrence of carbapenem-resistant bacterial epidemics as much as possible. Currently, there is no information on the overall status of carbapenem resistance in West Africa. With an area of 6,064,060 km2, West Africa consists of 16 countries with a population of 442,006,171, representing approximately 5.47% of the world population [10].
This study aimed to conduct a systematic and comprehensive review of clinical carbapenem resistance in West Africa. The specific objectives were to: (i) report the prevalence of CRB in West Africa; (ii) describe the genetic determinants involved in carbapenem resistance in West Africa, such as resistance genes and mobile genetic elements; (iii) discuss methods used to study carbapenem resistance in West Africa; and (iv) list the alternative antibiotics with good activity against CRB isolated in the West African region.
MATERIALS AND METHODS
Literature review
Keywords (carbapenem resistance, carbapenemase, West Africa, and country name) were used to perform a comprehensive literature search covering PubMed, Embase, Google Scholar, African Journals Online, and Scopus. All articles published in French or English from January 1, 2000, to August 25, 2023, were included to ensure comprehensive and relevant data.
Study selection criteria
This study included peer-reviewed research articles published in French or English, reporting clinical carbapenem-resistant bacterial samples collected from one of the 16 West African countries. These countries are Benin, Burkina Faso, Cape Verde, Côte d’Ivoire or Ivory Coast, Gambia, Ghana, Guinea, Guinea-Bissau, Liberia, Mali, Mauritania, Niger, Nigeria, Senegal, Sierra Leone, and Togo. The articles that reported at least one isolated bacterium resistant to carbapenem, the prevalence of carbapenem resistance, or a bacterium and its carbapenemase gene(s) were included in the study. Data on bacteria from human populations (from hospitals and communities) of all ages were included in this study. As this review focused on carbapenem-resistant bacteria of human origin, data on bacteria isolated from animal and environmental samples were excluded. Articles reporting clinical CRB collected from outside the sixteen West African countries were also excluded.
Data extraction and synthesis
The following data were extracted from the publications: country in which the samples were collected, year of sampling, type of study, number of isolates tested for carbapenem resistance, carbapenem resistance prevalence, the species (or genera) of the CRB, sample type, carbapenemase genes and their prevalences, mobile genetic elements, method used to detect CRB, community-acquired or hospital-acquired strains, age group, antibiotics active against CRB, and references (Table 1). To calculate the total prevalence of CRB, we only considered data displaying both the number of CRB and the total number of samples.
Country | Year of sampling | Type of study | CR isolates / total tested (%) | Species (number of strains studied) | Isolate source | Carbapenemase genes (prevalence among the studied strains, %) | Mobile genetic element | Method used | Setting (age group) | Effective antibiotic against CRB | Ref. |
---|---|---|---|---|---|---|---|---|---|---|---|
Benin | 2019-2020 | Descriptive cross-sectional | 12/180 (6.7) |
E. coli, P. aeruginosa, P. mendocina, E. cloacae, A. baumaimii | Pus |
bla
OXA-48(33-3), bla NDM (33-3), bla VIM(33.3) | NA | Kirby-Bauer DDM, PCR | Hospital (adult) | Amikacin | [11] |
2021-2022 | NA | 28/103 (27.18) | Enterobacteriaceae | Urine | NA | NA | Kirby-Bauer DDM | Hospital, community (children, adults, seniors) | NA | [12] | |
2021-2022 | Prospective descriptive | (100) (30) 0 |
P. putida, S. paucimobilis, K. pneumonia, E. coli | Urine | - bla NDM(11.1), bla NDM(10) | NA | Kirby-Bauer DDM, Vitek 2 (AST-N233 card), standard PCR | Hospital, community (children, adults, seniors) | NA | [13] | |
NA | NA | (9) (25) |
E. coli,
P. aeruginosa | Wound | NA | NA | Kirby-Bauer DDM | Hospital | NA | [14] | |
2012-2013 | NA | 3/84 (3.6) | E. coli | Urine, pus, VS, sperm, blood, CSF | NA | NA | Kirby-Bauer DDM | Hospital | NA | [15] | |
2017-2020 | Prospective antimicrobial resistance surveillance | 2/49 (4.1) 2/44 (4.5) |
E. coli
E. cloacae | Blood | NA | NA | Kirby-Bauer DDM, E-Test | Hospital (children, adults) | NA | [16] | |
2019-2020 | Crosssectional | 3/21 (14.3) 1/20 (5) 3/38 (8) 5/62 (8) |
E. cloacae, A. baumannii, P. aeruginosa, E. coli | Pus, wound | NA | NA | Kirby-Bauer DDM, microdilution | Hospital | NA | [17] | |
2005 | Prospective | 2/39 (5) 3/150 (2) |
E. coli, Non ESBL E. coli | Urine, wound, blood, VS, rectal swab | NA | NA | Kirby-Bauer DDM | Hospital | NA | [18] | |
Burkina-Faso | 2009-2010 | Prospective sectional | 2/5 (40) | E. coli (5 pathotypes) | Stool | bla KPC(40), bla VIM (40), bla IMP (40) | NA | Kirby-Bauer DDM, PCR | NA (children) | Ciprofloxacin, netilmicin | [19] |
2020 | Retrospective | 15/53 (28.3) | E. coli (15 strains) | Urine, pus | bla NDM(86.7),bla VIM(33.3) | NA | PCR, Kirby-Bauer DDM | Hospital, community (adults, children, seniors) | NA | [20] | |
NA | Case report | 4* | E. coli | Urine, pus | bla OXA-181 | Tn20l3 transposons located on IncX3-type plasmids | E-test, PCR, DNA sequencing, PRaseT, PCR-based replicon typing | NA (adults, children, seniors) | NA | [21] | |
2013-2015 | NA | 5/31 (16.1) | E. coli | Stool | NA | NA | PCR, Kirby-Bauer DDM | Hospital, community (children) | Ciprofloxacin | [22] | |
2022 | Retrospective descriptive | 3/123 (2.4) |
E. coli,
K. pneumoniae | NA | NA | NA | Kirby-Bauer DDM | NA | NA | [23] | |
2016 | NA | 17/601 (2.8) |
Enterobacteriaceae,
Acinetobacter spp. | Urine, wound, pus, stool, blood |
bla
NDM-1’bla
OXA-58’ bla OXA-181’bla VIM-2 | IncX3-, IncXl-, IncF-type plasmids | Kirby-Bauer DDM, PCR, PRaseT | Hospital, community (children, adults, seniors) | Amikacin | [24] | |
2009-2013 | NA | 2/17(11.8) | Klebsiella spp. | Urine, pus, CSF | bla IMP(17.6) | NA | Kirby-Bauer DDM, PCR | NA (children) | NA | [25] | |
NA | NA | 5/52 (9.6) | P. aeruginosa, S. maltophilia | blood, urine, pus, VS, stool | NA | NA | Kirby-Bauer DDM, Vitek 2 | NA | NA | [26] | |
2014-2015 | Cross-sectional | 1/486 (0.2) | Enterobacteriaceae | Urine, pus, blood, stool, VS, PF | NA | NA | Kirby-Bauer DDM | NA (children, adults, seniors) | NA | [27] | |
2013-2015 | NA | 2/53 (3.8) | Salmonella spp. | Stool | NA | NA | Kirby-Bauer DDM | Hospital, community (children) | NA | [28] | |
Cape Verde | 2021 | NA | 6/98 (6.1) | Enterobacteriaceae | Rectal swab |
bla
OXA-181(66.7), bla OXA-48(16.7), bla OXA-244(16.7) | IncFI-, IncX3-types plasmids | Kirby-Bauer DDM, PCR-based replicon typing | Hospital (adult) | Ceftazidime/avibactam | [29] |
Côte d’Ivoire | 2010-2016 | Transverse | 14/174 (8) | P. aeruginosa | Urine, pus, blood, CSF, catheter, BF, PF | NA | NA | Kirby-Bauer DDM | Hospital, community | NA | [30] |
2002-2012 | NA | 8/48 (16.7) | P. aeruginosa | NA | bla VIM-2 | NA | Kirby-Bauer DDM, PCR, Sequencing | Hospital | NA | [31] | |
2009-2011 | NA | 12* | P. aeruginosa | Urine, blood | bla VlM-2 | Class 1 integron | PCR, DNA sequencing | Hospital | Aztreonam,colistin | [32] | |
NA | NA | 4/20 (20) | A. baumannii, A. nosocomialis | Urine |
bla
NDM-1’ bla OXA-58’ bla OXA-66 | Tn125 | Kirby-Bauer DDM, PCR, WGS | Hospital (children, adults) | NA | [33] | |
Gambia | 2015 | Cross-sectional | 16/89(18) | Enterobacteriaceae, Pseudomonas spp. | Stool | NA | NA | Kirby-Bauer DDM | Community (adults) | NA | [34] |
2015 | Cross-sectional | 1/28 (3.6) | Enterobacteriaceae | Stool | NA | NA | Kirby-Bauer DDM | Community (adults) | NA | [35] | |
2017 | Cross-sectional cohort | 112* | E. coli, K. pneumoniae, Acinetobacter spp. | Perianal, skin, rectovaginal |
bla
SHV-75’ bla SHV-65’ bla SHV-61,XYBbla SHV-27’ bla SHV-187’ bla SHV-157’ bla SHV-13’ bla SHV-106’ bla MBL’ bla CTX-M-27, | NA | WGS | Hospital, community (children, adults) | NA | [36] | |
Ghana | 2016-2017 | NA | 2/36 (5.6) | Acinetobacter spp. | Urine, sputum, wound, HVS, blood, semen, CSF |
bla
OXA-23’ bla OXA-58’ bla OXA-420’ bla OXA-70’ bla OXA-699’ bla OXA-51 | Tn2007, IS 15DII, plasmids | WGS, broth microdilution | NA | Amikacin, minocycline | [37] |
2014-2015 | Retrospective | 52/87 (59.8) | Acinetobacter spp. | Wound, urine, aspirate, ear, eye swab | bla NDM | NA | Kirby-Bauer DDM, PCR | NA (children, adults) | Amikacin | [38] | |
2020-2021 | Cross-sectional | 8/144 (5.6) | E. coli, K. pneumoniae | Wound, urine, sputum, blood, pus, PF, aspirate, ear, eye swab, HVS |
bla
OXA-48(80), bla NDM(20) | NA | Kirby-Bauer DDM, MIC, PCR | NA (children, adults, seniors) | NA | [39] | |
2012-2014 | Prospective | 111/3840 (2.9) | A. baumannii, Enterobacteriaceae, P. aeruginosa | Wound, urine |
bla
NDM-1(14.4), bla VIM-1(7.2), bla OXA-48(1.8) | NA | Kirby-Bauer DDM, E-test, PCR, sequencing | Hospital (children, adults, seniors) | NA | [40] | |
NA | NA | 43/600 (7.2) | Enterobacteriaceae, A. baumannii | NA | NA | NA | Kirby-Bauer DDM, E-test | NA | Amikacin, colistin, fosfomycin | [41] | |
2017-2021 | Cross-sectional | 42/14554 (0.3) 1/48 (2.1) 19/100 (19) 56/3090 (1.8) 3/1110(0.3) |
E. coli, Acinetobacter spp., Pseudomonas spp., Klebsiella spp., Proteus spp. | Urine | NA | NA | Kirby-Bauer DDM | NA (adults, children, seniors) | NA | [42] | |
NA | Case report | 2* | E. coli | Stool | bla OXA-181 | IS 26 forming composite transposon on IncX3-, IncFIC(FII)-type plasmids | Broth microdilution, WGS | NA (children) | NA | [43] | |
2017-2018 | Prospective | 22/45 (48.9) | A. baumaimii (22 strains) | Wound |
bla
NDM-1(90.9), bla OXA-23(90.9), bla OXA-420(9.1), bla OXA-378(13.6), bla OXA-69(77.3) | NA | Broth microdilution, Vitek 2 (AST-N248 card), PCR, Sequencing | NA | NA | [44] | |
2017-2018 | NA | 27/91 (29.7) 18/48 (37.5) | K. pneumonia, K. oxytoca | Blood, HVS, sputum, urine, wound |
bla
OXA-48(2.2), bla NDM(0.7) | NA | Kirby-Bauer DDM, PCR | Hospital (adults) | Amikacin | [45] | |
2018-2019 | Cross sectional | 2/135 (1.5) | E. coli | Urine | NA | NA | Kirby-Bauer DDM | Hospital, community (children, adults, seniors) | NA | [46] | |
2017-2018 | Laboratory surveillance of antimicrobial resistance | 35/168 (21) | Enterobacteriaceae | Urine, wound, blood, throat swab, stool, ear swab |
bla
OXA-48’ bla NDM’ bla KPC | NA | Kirby-Bauer DDM, microscan auto-SCAN system, PCR | Hospital, community | NA | [47] | |
2017-2019 | NA | 29* | K. pneumoniae | Swabs of neonates, blood | bla OXA-181 | IncX3-, In-cFlB (Mar)-, IncOl-, IncColKP3-type plasmids | WGS | Hospital (children) | NA | [48] | |
2019 | Cross-sectional | 2/19 (10.5) | K. pneumoniae | Stool | NA | NA | Vitek 2 | Community (children) | NA | [49] | |
NA | Cross-sectional | 2/736 (0.3) | Enterobacteriaceae | NA |
bla
NDM-1’ bla CMY-2 | NA | NA | Community | NA | [50] | |
2015 | Cross-sectional analytical | 22/220 (10) | Enterobacteriaceae | Urine | NA | NA | E-test | Community (children, adults) | NA | [51] | |
2001-2008 | Screening program | 41* | Salmonella spp. | Stool | bla SHV-12(51-2) | NA | Kirby-Bauer DDM, PCR, Sanger DNA sequencing | Community (children) | NA | [52] | |
2010-2019 | Retrospective | 5/317 (1.6) | P. aeruginosa | Urine, pus, VS, sputum, blood, PF, CSF, ProF, PeriF, BAF, AF, GF | NA | NA | Kirby-Bauer DDM | Hospital, community | Colistin, ceftazidime, amikacin, piperacillin | [53] | |
2019-2022 | NA | 2/48 (4.2) | K. pneumoniae | Urine, pus, sputum, blood, PL | NA | NA | Kirby-Bauer DDM | NA | NA | [54] | |
2014 | Prospective | 1/31 (3.2) | E. coli | Blood | bla OXA-181 | NA | Kirby-Bauer DDM, E-test, PCR, sequencing | Hospital (adults, children, seniors) | NA | [55] | |
Mauritania | 2014 | Prospective | 4/366 (1.1) | E. coli | Urine | NA | NA | Kirby-Bauer DDM | Hospital, community | NA | [56] |
2019-2020 | Retrospective | 4/120 (3.3) | Enterobacteriaceae | Urine | NA | NA | Vitek 2, Kirby-Bauer DDM | Hospital, community (adults, children) | NA | [57] | |
Niger | 2021 | Descriptive cross-sectional | 4/50 (8) 7/9 (77.8) | Enterobacteriaceae P. aeruginosa | Urine, pus, stool | NA | NA | Kirby-Bauer DDM | Hospital, community (children, adults, seniors) | NA | [58] |
2019 | Prospective descriptive, epidemiological | 19/292 (6.5) | Enterobacteriaceae | Urine, sputum, stool |
bla
NDM-5(71.4), bla OXA-181(28.6) | NA | RT-PCR, modified Kirby-Bauer DDM | NA | NA | [59] | |
2016-2020 | Antimicrobial resistance surveillance | 54/86 (62.8) 2* 16* |
A. baumannii, A. haemolyticus, A. nosocomialis | Rectal swab, blood, CSF |
bla
OXA-23(34.9), bla NDM-1(27.9), bla OXA-214’ bla OXA-420’ bla OXA-58(11.6) | Tn2006, Tn2006-like, Tn 125 | Vitek 2 (AST N281 card), WGS | Hospital | Minocyclin, tigecycline | [60] | |
2015 | Cross-sectional | 13/64 (20.4) 21/108 (19.4) |
E. coli, K pneumoniae | Urine | NA | NA | Modified Kirby-Bauer DDM | NA (children, adults, seniors) | NA | [61] | |
2019 | NA | 16/200 (8) | Enterobacteriaceae | NA |
bla
NDM-7(12.5), bla SHV-37’bla ACT-29 | NA | E-test, BDM, standard PCR, WGS | NA | Amikacin, colistin, tigecyclin | [62] | |
NA | NA | 13/25 (52) 11/35 (31.4) 9/30 (30) |
K pneumoniae, E. coli, P. aeruginosa | Urine | NA | NA | Kirby-Bauer DDM | NA | NA | [63] | |
2019 | NA | 47/158 (29.7) |
Enterobacteriaceae, P. aeruginosa | Urine, wound, eye swab, sputum, tracheal aspirate | NA | NA | EDTA double-disc synergy test, mCIM | Hospital, community | NA | [64] | |
2015-2016 | NA | 17/46 (37) | Klebsiella spp. | Urine, sputum, ear swab, wound, VS | NA | NA | Kirby-Bauer DDM | NA | NA | [65] | |
2017-2018 | NA | 105/1741 (6) |
A. baumannii, Enterobacteriaceae, P. aeruginosa | Urine, wound, stool, sputum, VS, ear swab, PF |
bla
NDM(24.8), bla VIM(3.8) | NA | MicroScan Walk-Away40, RT-PCR | NA | NA | [66] | |
2018 | NA | 7/21 (33.3) | A. baumannii | Urine, CSF, wound, blood, sputum, tissue |
bla
NDM-1’bla
OXA-51’ bla OXA-58’bla OXA-67’ bla OXA-68’bla OXA-69’ bla OXA-23’bla OXA-180’ bla OXA-91’bla OXA-130’ bla OXA-64’bla OXA-91’ bla OXA-203’bla OXA-235 | NA | WGS, Kirby-Bauer DDM | NA (children, adults, seniors) | NA | [67] | |
2014 | Descriptive cross-sectional | 28/225 (12.4) | Enterobacteriaceae | Blood, urine, CSF, stool |
bla
KPC-1(47.8%), bla NDM-1(21.4), bla VIM(30.4%) | NA | Kirby-Bauer DDM, PCR | Hospital (children, adults, seniors) | NA | [68] | |
2014-2015 | Laboratory-based | 35/171 (20.5) | P. aeruginosa | Urine, wound, blood, bone | NA | NA | Kirby-Bauer DDM | NA | NA | [69] | |
2018 | Retrospective, epidemiological and surveillance | 39/177 (22) |
Enterobacteriaceae, A. baumannii, P. aeruginosa | Urine, pus, wound, tracheal aspirate, tissue biopsy, sputum | NA | NA | Kirby-Bauer DDM | Hospital, community (children, adults, seniors) | Colistin, nitrofurantoin | [70] | |
2016-2017 | Cross-sectional | 19/59(32.2) | Enterobacteriaceae | Blood, urine | NA | NA | Kirby-Bauer DDM | Hospital (children, adults, seniors) | NA | [71] | |
2016-2021 | NA | 32/49 (65.3) | Enterobacteriaceae (49 species) | Blood, urine, wound |
bla
NDM-1(35), bla NDM-5(25), bla OXA-181(3), bla OXA-48(9.1), bla SHV-67(6.1), bla SHV-187(44.9), bla SHV-11(4.1), bla OXA-320(2), bla OXA-534(2), bla OXA-9(2) | 1SEc33, IS5, IS Kpnl9, ISKra4 family, IncFII-type plasmids | BD Phoenix Automated Microbiology System, WGS | Community | Tigecycline, fosfomycin, amikacin, colistin | [72] | |
2018 | Descriptive cross-sectional | 8/76 (10.5) | Enterobacteriaceae | Blood, urine, sputum, tracheal aspirate |
bla
VIM(62.5), bla NDM(25), bla KPC(12.5) | NA | Kirby-Bauer DDM, PCR | Hospital (children, adults) | NA | [73] | |
2018-2019 | NA | 55/128 (43.0) | K. pneumoniae (128 phenotypes) | Urine, blood, sputum, wound, HVS, pus, stool, tracheal aspirate, semen |
bla
VIM(43), bla OXA-48(28.9), bla IMP(22.7), bla NDM(17.2), bla KPC(13.3) | NA | Kirby-Bauer DDM, broth microdilution methods, PCR | Hospital, community (children, adults, seniors) | Polymyxin B | [74] | |
2018-2019 | NA | 54/123 (44) | P. aeruginosa | Wound, urine, sputum/tracheotomy aspirates, ear swabs, VS |
bla
VIM-2’ bla VIM-5-like, bla NDM-1’bla GES-5’ bla GES-1’bla GES-9 | Plasmids | Vitek 2 (AST-N-232 card), WGS | Hospital, community (adults) | NA | [75] | |
2016-2019 | NA | 33/95 (34.7) | Enterobacteriaceae | Stool, urine |
bla
SHV-11’ bla SHV-28 | IncFIB-, IncFIB(K)-, IncFII-, IncFIA-, IncFII(K)-, IncR-type plasmids | broth dilution method, Kirby-Bauer DDM, WGS | NA | NA | [76] | |
2011 | NA | 67/182 (36.8) |
Enterobacteriaceae, Pseudomonas spp. | Urine, wound, stool, blood, sputum, ear swab |
bla
NDM’bla
VIM’ bla GES | Plasmids | Kirby-Bauer DDM, PCR, sequencing | Hospital, community | NA | [77] | |
2015 | NA | 9/218 (4.1) | Enterobacteriaceae | Urine, peritoneal fluid, endocervical swab |
bla
NDM-1’bla
OXA-48’ bla OXA-181’bla SHV-11’ bla SHV-28’bla ACT-5 | IncL/M-type plasmids | Kirby-Bauer DDM, E-test method, WGS | NA | NA | [78] | |
2012 | NA | 3/5 (60) | A. baumannii | NA | kk*OXA-23 | NA | RT-PCR, standard PCR | NA | Colistin | [79] | |
2016-2018 | Antimicrobial resistance sentinel surveillance | 134* | K. pneumoniae | Blood, cerebrospinal fluid, urine |
bla
NDM-1(6), bla NDM-5(1.5), bla OXA-48(0.7), bla SHV-89’ bla SHV-80’ bla SHV-32’bla SHV-215’ bla SHV-36’bla SHV-212’ bla SHV-223’bla SHV-75’ bla SHV-172’bla SHV-84 | IncL/M-, IncFIB- (AP001918), IncN-, IncR-types plasmids | Vitek 2, WGS | NA | NA | [80] | |
NA | NA | 66/140(47.1) 48/108(44.4) |
E.coli, K. pneumoniae | Urine, wound, abscess | NA | NA | Modified Kirby-Bauer DDM, | NA | NA | [81] | |
2016-2018 | NA | 48/175 (27.4) | Enterobacteriaceae (48 species) | Urine, wound, blood |
bla
NDM(85.4), bla OXA-181(25), bla OXA-48(2.1), bla CMY-2(22.9) | NA | Vitek 2, standard PCR, isothermal amplification, WGS | NA (children, adults, seniors) | Fosfomycin, ceftazidim/avibactam/aztreonam | [82] | |
NA | NA | (12.5) | Enterobacteriaceae | NA | NA | NA | Kirby-Bauer DDM | Hospital | Colistin, tigecycline | [83] | |
2013 | NA | 27/177 (15.2) | Enterobacteriaceae | Urine, blood, sputum, wound, pus | NA | NA | Modified Kirby-Bauer DDM | Hospital | NA | [84] | |
2020 | Prospective descriptive | 3/8 (37.5) | K. pneumoniae | Urine, sputum, wound | NA | NA | Kirby-Bauer DDM, PCR | NA | NA | [85] | |
2013-2014 | Prospective cross-sectional | 1/220 (0.5) | E. coli | Urine, blood, diverse aspirates | NA | NA | Kirby-Bauer DDM | Hospital, community (children, adults, seniors) | NA | [86] | |
2014 | NA | 52/157(33.1) |
Enterobacteriaceae, P. aeruginosa | Urine, blood, wound, sputum, semen, HVS, endo cervical swab | NA | NA | Kirby-Bauer DDM | NA | NA | [87] | |
NA | NA | 9/97 (9.3) |
E. coli, K pneumoniae | Urine, blood, CSF, genitals | NA | NA | Kirby-Bauer DDM | (children, adults) | NA | [88] | |
Senegal | 2018-2020 | Retrospective | 10/66(15.2) | K pneumoniae | Urine, pus, sputum, BF, VS | NA | NA | Kirby-Bauer DDM | Hospital, community (children, adults, seniors) | NA | [89] |
2018-2020 | Retrospective | 3/78 (3.8) | E. coli | Urine, pus, sputum, BF, VS | NA | NA | Kirby-Bauer DDM | Hospital, community (children, adults, seniors) | Fosfomycin | [90] | |
2014-2018 | Prospective | 30/807 (3.7) 23/295 (7.8) 20/95 (21.1) |
E. coli, Klebsiella spp., Enterobacter spp. | Urine | NA | NA | Kirby-Bauer DDM | Hospital, community (children, adults, seniors) | NA | [91] | |
2019-2022 | Prospective | 13/240 (5.4) | Enterobacteriaceae | Urine, pus, blood, VS, puncture fluid, sputum |
bla
NDM(5.4), bla OXA-48(5.8) | NA | Kirby-Bauer DDM, RT-PCR, standard PCR | Hospital, community (children, adults) | Colistin | [92] | |
2015-2016 | Retrospective | 12/1185 (1) | Enterobacteriaceae | Urine | NA | NA | Kirby-Bauer DDM | Hospital, community | NA | [93] | |
NA | NA | NA/49 | K. pneumoniae (5 isolates) | Urine |
bla
OXA-48(100), bla SHV-28(40), bla SHV-11(20), bla SHV-61(20), bla SHV-110(20) | Tn 2999.2-type trans-poson located on IncL/M-type plasmids | PCR, WGS | NA | NA | [94] | |
2018-2021 | Retrospective | 10/28 (35.7) | K. pneumoniae | Urine, blood, wound | bla OXA-48(21.4) | NA | Kirby-Bauer DDM, PCR | Hospital | NA | [95] | |
2016 | Cross-sectional | 62/1205 (5.1) | Enterobacteriaceae | Wound, urine, LF, genitals, blood, stool | NA | NA | Kirby-Bauer DDM | Hospital, community (adults, seniors) | Amikacin, fosfomycin | [96] | |
NA | NA | 29/29 (100) | A. baumannii (29 strains) | Urine, BS, pus, PL, blood |
bla
OXA-51(100), bla OXA-23(89.7), bla NDM-1(3.4) | NA | Kirby-Bauer DDM, standard PCR | Hospital | Amikacin, colistin | [97] | |
2011 | Case report | 3* | A. baumannii | BAL,blood |
bla
OXA-23’ bla OXA-51 | ISAba1 | Genome sequencing | Hospital (children, adults) | Netilmicin,colistin | [98] | |
2008-2009 | NA | 2/11 (18.2) | Enterobacteriaceae | Urine, post-surgical specimen | bla OXA-48 | Tn1999 transposon located on a plasmid | Kirby-Bauer DDM, E-test method, PCR | Hospital, community | NA | [99] | |
2008-2011 | Prospective | 2* | A. baumannii | Stool | bla OXA-23 | NA | PCR, E-test | Community (children, adults) | Colistin, rifampicin | [100] | |
Sierra-Leone | 2010-2011 | Molecular epidemiology surveillance program | 20* | Enterobacteriaceae, Pseudomonas spp. | NA |
bla
OXA-51-like, bla NDM-1(14.4) | Class 1 integron, ISA-ba3-related transposons | PCR, DNA sequencing, WGS | NA | NA | [101] |
2018 | Cross-sectional | 1/1 (8.7) (13) |
B. cepacia, A. baumannii E. cloacae | Urine, sputum | NA | NA | Vitek 2 | Hospital (adults, seniors) | NA | [102] | |
2018 | NA | 56* | NA | Stool |
bla
NDM(10.7), bla OXA-48-like(1.8), bla PER(1.8), | Class 1 integron, ISCR1 | RT-PCR | Hospital | NA | [103] | |
2019-2020 | NA | 4* | M. morganii, Proteus spp. | Wound | NA | NA | Vitek 2 (AST-N214 card), Kirby-Bauer DDM | Hospital, community (children, adults, seniors) | NA | [104] | |
2013-2014 | NA | 2/70 (2.9) | Enterobacteriaceae | Urine | NA | NA | Kirby-Bauer DDM, E-test | Community (children, adults) | Tigecycline | [105] | |
2021 | Prospective | 1/2(50) 2/6(33) |
P. mirabilis
P. aeruginosa | Surgical wound, urinary catheter | NA | NA | Vitek 2 | Hospital (adults, seniors) | Amikacin | [106] | |
Togo | 2016 | Cross-sectional | 28/903 (3.1) |
A. baumannii, E. cloacae, P. aeruginosa, K pneumoniae, E. coli | Urine, pus, CSF | NA | NA | Kirby-Bauer DDM | Hospital, community | Tobramycin, amikacin, colistin | [107] |
2016 | NA | 8/152 (5.2) |
E. xiangfangensis, E. cloacae subsp. cloacae, E. hormaechei subsp. oharae, E. coli, K pneumoniae | Urine, pus |
bla
NDM-5’bla
ACT-16’ bla ACT-7’bla OXA-18’ bla OXA-9 | IncX3-,ColKP3-type plasmids | WGS | Hospital, community (children, adults) | Fosfomycin | [108] | |
2013-2015 | Retrospective | 7/1979(0.35) 5/197 (2.5) |
E. coli, A. baumannii, P. aeruginosa, | Pus, spit, urine, sperm, stool, articular fluids, ascitic fluids, BS | NA | NA | Kirby-Bauer DDM | Hospital, community | NA Amikacin | [109] | |
2017-2018 | NA | 4/35 (11.4) | E. coli | NA | NA | NA | Kirby-Bauer DDM | Hospital, community | Gentamicin | [110] | |
Togo | 2009-2011 | NA | (0.68) (3.7) |
E. coli, Klebsiella spp. | VS, urine, pus, blood | NA | NA | Kirby-Bauer DDM | NA | NA | [111] |
2013-2015 | Prospective | 2/91(2.2) 1/64(1.6) |
E. coli, K pneumoniae | Urine, VS, pus, sperm, wound, sputum | NA | NA | Kirby-Bauer DDM | NA | NA | [112] |
NA - not available; CRB - carbapenem-resistant bacteria; CSF - cerebrospinal fluid; WGS - whole genome sequencing; * - tested isolates; BF - bronchial fluid; VS - vaginal secretion; LF - liquid of effusion; BS - bronchial secretion; PL - puncture liquid; BAL - bronchoalveolar lavage; CR - carbapenem-resistant; BDM - broth dilution method; PF - pleural fluid; ProF - prostatic fluid; PeriF - peritoneal fluid; BAF - bronchoalveolar fluid; AF -articular fluid; GF - gastric fluid; MLST - multilocus sequence typing; PBRT - PCR-based replicon typing method; HVS - high vaginal swabs; mCIM - modified carbapenem inactivation method; CIM - carbapenem inactivation method; MIC - minimum inhibitory concentration; Kirby-Bauer DDM - Kirby-Bauer disk diffusion method; RS - respiratory secretion; PRaseT - plasmid relaxase gene typing.
Method for obtaining the number of samples types
In studies reporting carbapenem-resistant bacteria (CRB) isolated from urine, pus, and blood the number of sample types equals 3. Similarly, in studies reporting CRB isolated only from urine, the number of sample types is equal to 1.
Method for calculating CRB prevalence
The prevalence of carbapenem-resistant bacteria was determined by studies that specified both the number of CRB and the total number of strains tested. Therefore, at the West African or country level, the prevalence of CRB was calculated as the ratio of the total number of CRB reported in the corresponding studies to the total number of strains tested in these studies.
Method for carbapenemase gene type description
For example, in a study reporting bla NDM-1, bla NDM-2, bla NDM-3, bla OXA-48, and bla OXA-181, the number of carbapenemase gene types will be equal to bla NDM=1 and bla OXA=1. Additionally, a single study can report several bacterial strains (or bacterial pathotypes), each of which contains more than one carbapenemase gene (or gene type). This can lead to the sum of percentages of carbapenemase genes (or gene types) exceeding 100%.
RESULTS
Literature search and eligible studies
A literature search of databases such as PubMed, Embase, Google Scholar, African Journals Online, and Scopus generated 547 research articles. Subsequently, 329, 72, and 44 research articles were excluded due to duplication, data from countries outside West Africa, and data from animal and environmental sources, respectively. The data from the remaining 102 research articles were included in this systematic review (Fig. 1).
Sample collection and article publication periods
Out of the 102 studies included in this review, 89 (87.3%) reported the year of the sample collection. The sample collection period was from 2001 to 2022. The number of articles published per year ranged from 0 (2008, 2009, 2010) to 19 (January to August 2023) (Fig. 2).
Number of studies in each country
The number of articles published on carbapenem resistance per country was 30 (29.4%) in Nigeria, 15 (14.7%) in Ghana, 12 (11.8%) in Senegal, 10 (9.8%) in Burkina-Faso, 8 (7.8%) in Benin, 6 (5.9%) in Togo, 6 (5.9%) in Sierra Leone, 4 (3.9%) in Côte d’Ivoire, 4 (3.9%) in Mali, 3 (2.9%) in Gambia, 2 (2%) in Mauritania, 1 (1%) in Cape Verde, and 1 (1%) in Niger. We did not find any published studies on carbapenem resistance in Guinea, Guinea-Bissau, or Liberia (Fig. 3).

Type of studies
The type of study was specified in 57 publications (55.9%), including prospective, retrospective, descriptive, cross-sectional, case report, antimicrobial resistance surveillance, and screening program studies.
Samples
The origin of the samples of CRB strains was specified in 93 studies (total 300 cases). The number of sample types per study varied from 1 to 12. CRB were mainly isolated from urine and wound/pus samples (p<0.0001). The sample types included isolates from urine 73/300 (24.3%), pus/wounds 69/300 (23%), blood 39/300 (13%), sputum’s/tracheal aspirates 29/300 (9.7%), stool/rectal samples 26/300 (8.7%), vaginal and endocervical samples 24/300 (8%), samples from pleural fluids 13/300 (4.3%), cerebrospinal fluids 11/300 (3.7%), semen samples 7/300 (2.3%), articular fluids 2/300 (0.7%), peritoneal fluids 2/300 (0.7%), tissues 2/300 (0.7%), bone samples 1/300 (0.3%), skin swabs 1/300 (0.3%), and samples from gastric fluids 1/300 (0.3%) (Table 1, Fig. 4). Eye and ear swabs were considered pus samples.
Prevalence of carbapenem-resistant bacteria in West Africa
The average prevalence of CRB in West Africa was (1902/41635; 4.6%), and the prevalence of CRB per country ranged from 1.6% to 18.6%. More specifically, Niger (11/59; 18.6%) and Nigeria (968/5396; 17.9%) exhibited the highest prevalence of CRB, followed by Gambia (17/117; 14.5%), Côte d’Ivoire (26/262; 9.9%), Benin (64/790; 8.1%), Sierra Leone (6/79; 7.6%), Cape Verde (6/98; 6.1%), Senegal (214/4039; 5.3%), Burkina Faso (52/1421; 3.7%), Mali (8/396; 2%), Ghana (467/25071; 1.9%), Mauritania (8/486; 1.6 %), and Togo (55/3421; 1.6%), according to the antibiotic susceptibility assays reported in the articles incorporated into this systematic review (Fig. 5).
Distribution of carbapenem-resistant genera in West Africa
All studies included in this review reported CRB belonging to the order Enterobacterales. In total, 101 studies mentioned carbapenem-resistant bacterial species, genera, or families. Among 101 studies, 36 cases of the Enterobacteriaceae family were reported without a specified genus. Studies that specified genera or species (total 130 cases) reported a total of 11 genera, including Escherichia spp. 34/130 (26.1%), Klebsiella spp. 27/130 (20.8%), Pseudomonas spp. 26/130 (20%), Acinetobacter spp. 25/130 (19.2%), Enterobacter spp. 9/130 (6.9%), Proteus spp. 3/130 (2.3%), Salmonella spp. 2/130 (1.5%), Sphingomonas spp. 1/130 (0.8%), Stenotrophomonas spp. 1/130 (0.8%), Burkholderia spp. 1/130 (0.8%), and Morganella spp. 1/130 (0.8%) (Fig. 6, Table 1). CRB were mainly Escherichia spp., Klebsiella spp., Pseudomonas spp., and Acinetobacter spp. (p<0.0001).
Carbapenemase genes reported in West Africa
Fifty studies (49%) from 11 countries described the carbapenemase genes involved in bacterial carbapenem resistance (total 104 cases). Carbapenemases encoded by these genes belonged to the four Ambler classes and included 13 types: bla OXA-type carbapenemases (34/104; 32.7%), bla NDM (31/104; 29.8%), bla VIM (13/104; 12.5%), bla SHV-type carbapenemases (8/104; 7.7%), bla KPC (4/104; 3.8%), bla ACT (3/104; 2.9%), bla IMP (3/104; 2.9), bla CMY-type carbapenemases (2/104; 1.9%), bla GES (2 /104; 1.9%), bla CTX-M-type carbapenemases (1/104; 1%), bla PER (1/104; 1%), bla DIM (1/104; 1%), and ble MBL-type carbapenemases (1/104; 1%) (Table 1, 2). OXA-type and NDM-type carbapenemases were the most prevalent in West Africa (p<0.0001). The distribution of carbapenemase genes by country is shown in Table 2.
Country | Carbapenemase genes | ||||||||||||
---|---|---|---|---|---|---|---|---|---|---|---|---|---|
Class A | Class B | Class C | Class D | ||||||||||
bla KPC | bla CTX-M * | bla SHV * | bla GES | bla PER | blaNDM | bla VIM | bla IMP | bla DIM | ble MBL | bla ACT | bla CMY * | bla OXA * | |
Nigeria | |||||||||||||
Ghana | |||||||||||||
Senegal | |||||||||||||
Burkina-Faso | |||||||||||||
Benin | |||||||||||||
Togo | |||||||||||||
Sierra-Leone | |||||||||||||
Côte d’Ivoire | |||||||||||||
Mali | |||||||||||||
Gambia | |||||||||||||
Cape Verde |
Gray color means that a carbapenemase gene was reported in study from this country; *gene encoding carbapenem hydrolyzing enzyme variants
Carbapenemase genes reported in West Africa
Fifty studies (49%) from 11 countries described the carbapenemase genes involved in bacterial carbapenem resistance (total 104 cases). Carbapenemases encoded by these genes belonged to the four Ambler classes and included 13 types: bla OXA-type carbapenemases (34/104; 32.7%), bla NDM (31/104; 29.8%), bla VIM (13/104; 12.5%), bla SHV-type carbapenemases (8/104; 7.7%), bla KPC (4/104; 3.8%), bla ACT (3/104; 2.9%), bla IMP (3/104; 2.9), bla CMY-type carbapenemases (2/104; 1.9%), bla GES (2 /104; 1.9%), bla CTX-M-type carbapenemases (1/104; 1%), bla PER (1/104; 1%), bla DIM (1/104; 1%), and ble MBL-type carbapenemases (1/104; 1%) (Table 1, 2). OXA-type and NDM-type carbapenemases were the most prevalent in West Africa (p<0.0001). The distribution of carbapenemase genes by country is shown in Table 2.
Mobile genetic elements carrying carbapenemase genes
Twenty-one out of 102 studies (20.6%) reported and specified mobile genetic elements carrying the genetic determinants of carbapenemases (Table 1). The mobile genetic elements included plasmids, integrons, and composite transposons delimited by insertion sequences (IS). The gene bla NDM-1 in Acinetobacter spp. described in studies from Nigeria and Côte d’Ivoire was generally carried by IncF-type plasmids or Tn125 composite transposons delimited by ISAba125 (Table 1). The gene bla NDM-5 was usually carried by IncX3-type plasmids. The gene bla NDM-5 carried by E. xiangfangensis isolated in Togo was part of composite transposons delimited by IS5 (Table 1). The gene bla OXA-181 carried by Enterobacter spp., Klebsiella spp., and E. coli (studies from Togo, Ghana, and Burkina-Faso) was generally carried by IncX3-, ColKP3-, IncFIC(FII)-, and IncFI-type plasmids. When bla OXA-181 was carried by IncX3-like plasmids, it was part of Tn2013 (Table 1). The gene bla OXA-48 reported in papers from Burkina-Faso, Senegal, and Cape Verde was located on Tn1999 or Tn1999.2 carried by IncL/M-type plasmids. Moreover, several IncFI- and IncX3-type plasmids were reported to be bla OXA-48 carriers (Table 1). In Acinetobacter spp. reported in studies from Nigeria and Senegal, bla OXA-23 was mainly associated with Tn2006 and Tn2007, delimited respectively by ISAba1 and ISAba4 (Table 1). In studies from Ghana and Nigeria, the bla OXA-58 gene carried by Acinetobacter spp. was found within composite transposons delimited by ISAba3 (Table 1). The gene bla OXA-420 was part of a composite transposon delimited by ISAba3-like insertion sequence, while bla VIM-2, carried by P. aeruginosa, was part of class 1 integrons (Table 1).
Methods used to study carbapenem resistance in West Africa
One hundred and one studies have reported total 172 cases where phenotypic and genotypic methods were used to assess carbapenem resistance in West Africa. The Kirby-Bauer disc diffusion method (74/172; 43.0%) was the most used phenotypic method (p<0.0001), followed by the Vitek 2 automated system (12/172; 7.0%), E-test (12/172; 7.0%), broth dilution and microdilution methods (7/172; 4.1%), MicroScan WalkAway Plus System (2/172; 1.2%), and the BD Phoenix™ automated system (1/172; 0.6%) (Table 3). Among genotypic methods, PCR (standard PCR and RT-PCR) was the most used (38/172; 22.1%) (p=0.03), followed by whole-genome sequencing (17/172; 9.9%), and partial genome sequencing (9/172; 5.2%) (Table 3).
Method | n/N (%) | p value | |
---|---|---|---|
Phenotypic | Kirby-Bauer Disc diffusion method | 74/172 (43.0) | <0.0001 |
Vitek 2 automated system | 12/172 (7.0) | ||
E-test | 12/172 (7.0) | ||
Broth dilution and microdilution method | 7/172 (4.1) | ||
MicroScan WalkAway plus System | 2/172 (1.2) | ||
BD Phoenix™ automated system | 1/172 (0.6) | ||
Genotypic | Standard PCR and RT-PCR | 38/172 (22.1) | 0.03 |
Whole genome sequencing | 17/172 (10.0) | ||
Partial genome sequencing | 9/172 (5.2) |
n- the number of particular tests; N- the total number of tests. Data were compared by χ 2 test.
Origins and age groups of CRB carriers
The origin of CRB was reported in 104 cases published in 67 out of 102 studies. CRB were mainly hospital-acquired (59/104; 56.7%), whereas community-acquired CRB accounted for 43.3% (45/104; p=0.003). In addition, 54 studies specified the age groups of people carrying CRB (total 118 cases) including adults (46/118; 39.0%), children/neonates (45/118; 38.1%), and elderly people (27/118; 22.9%). Overall CRB were most frequently isolated from adults and children/neonates (p=0.0002).
Alternative antibiotics retaining good activity against CRB
According to the antimicrobial susceptibility testing results in thirty-one studies (30.4%), 51 successful cases of antibiotics with good activity against CRB were reported. The list of antibiotics active against CRB includes amikacin 14/51 (27.5%), colistin 12/51 (23.5%), fosfomycin 6/51 (11.8%), tigecycline 4/51 (7.8%), netilmicin 2/51 (3.9%), gentamicin 2/51 (3.9%), ciprofloxacin 2/51 (3.9%), minocycline 2/51 (3.9%), nitrofurantoin 1/51 (2%), polymyxin B 1/51 (2%), ceftazidime/avibactam/aztreonam 1/51 (2%), rifampicin 1/51 (2%), tobramycin 1/51 (2%), ceftazidime/avibactam 1/51 (2%), and aztreonam 1/51 (2%) (Fig. 7). Amikacin and colistin were the two most frequently reported alternative antibiotics (p=0.002).
DISCUSSION
This systematic review revealed that, in the countries of West Africa, CRB were mostly isolated from patients’ urinary tracts (24.3%), pus/wounds (23%), blood (13%), sputum/tracheal aspirates (9.7%), stool/rectal samples (8.7%), and vaginal/endocervical samples (8%). Overall, this aligns with studies conducted in other regions of the world. Thus, a significant number of CRB were isolated from the urinary tract (19%) and wound/pus (18%) samples of patients in East Africa, although the distribution was shifted towards the respiratory tract (23%) and blood (22%) samples [113]. In the USA [114], CRB were isolated mainly from patients’ urine (87.1%) and blood (10.8%). In Japan [115], the urinary tract was also the main source of CRB (33%), followed by the respiratory tract (21%) and blood (11%). The urinary tract, pus/wound, blood, and respiratory tract appear to be the main sources of CRB worldwide.
The average prevalence of CRB in West Africa was 4.6% (1902/41635), ranging from 1.6% to 18.6%. This average of 4.6% is low compared to the prevalence of CRB reported on the Indian subcontinent (18-31%) [116, 117], Africa and the Middle East (5.7-26.9%) [118], and Saudi Arabia 38-46% [119]. However, the prevalence of CRB reported in the USA was 4.5% [120]. In addition, prevalence rates of up to 7% for CR-E. coli, 33.4% for CR-K. pneumoniae, 38.2% for CR-P. aeruginosa spp., and 82.1% for CR-Acinetobacter spp. were reported in endemic areas of Europe (Albania, Greece, Romania, and Croatia) [121]. The reason for the significant variation in CRB prevalence among West African countries (1.6% to 18.6%) remains to be determined. Larger-scale studies, especially in countries where no studies on CRB have been conducted yet, could help estimate the average prevalence of CRB in West Africa more accurately.
This systematic review identified that the most reported CRB genera in West Africa were Escherichia spp. (26.1%), followed by Klebsiella spp. (20.8%), Pseudomonas spp. (20%), and Acinetobacter spp. (19.2%). These results are similar to values reported in studies from East Africa and the Asia-Pacific region (P. aeruginosa, 17-18.9%; A. baumannii, 23%) [113, 117]. However, Lee et al. [122] reported a much higher prevalence of carbapenem-resistant A. baumannii (71.7%) in the Asia-Pacific region. Furthermore, it seems that carbapenem-resistant Klebsiella spp. is much more common in Asia and the USA than in West Africa. Indeed, at least two papers [114, 123] reported a 53-73.9% prevalence of CR-K. pneumoniae in Asia and the USA.
In West Africa, 13 types of carbapenemases have been reported, with a predominance of the bla OXA-type (32.7%) and bla NDM (29.8%), followed by bla VIM (12.5%), bla SHV (7.7%), bla KPC (3.8%), bla ACT (2.9%), bla IMP (2.9%), bla CMY (1.9%), bla GES (1.9%), bla CTX-M (1%), bla PER (1%), bla DIM (1%), and ble MBL (1/104; 1%). These numbers are somewhat similar to results obtained in South Africa and Central Africa, which showed a predominance of bla NDM-type and bla OXA-type carbapenemases [124-126]. However, the patterns of carbapenemase genes reported in this review diverge significantly from those observed in the East African region, Asia-Pacific region, Canada, Brazil, and the USA. Six types of carbapenemases have been reported in studies from East Africa, with a predominance of bla VIM (28.6%), followed by bla NDM (25%), bla OXA-type (17.9%), bla IMP (14.3%), bla KPC (7.1%), and bla SPM (7.1%) [113]. Seven types of carbapenemases have been listed in papers from the Asia-Pacific region, with a predominance of bla VIM (29.0%), followed by bla NDM (24.9%), bla VEB (20.8%), bla IMP (18.0%), bla GES (5.7%), bla TEM-type (3.3%), and bla KPC (1.6%) [117]. Five types of carbapenemases have been described by scientists from the USA: bla KPC (62.4%), bla NDM (2%), bla OXA-type (1.6%), bla VIM (0.4%), and bla IMP (0.2%) [127]. In Canada, bla NDM (37%) and bla KPC (31%) predominated, while in Brazil and Russia, the prevalence of bla KPC (94.7%) and bla OXA-48 (65.6%) correspondingly was reported [126].
The mobile genetic elements (MGE) carrying carbapenemase genes described in this systematic review are very similar to those reported elsewhere. Thus, similar to the results from this review, Pagano et al. [128] noted that the bla NDM-1 gene is carried by Tn125 composite transposon delimited by ISAba125. Li et al. and Yang et al. [129, 130] reported the bla NDM-5 gene within composite transposons (delimited by IS5) carried by IncX3-type plasmids in China, which is in accordance with the results obtained in West African countries. The bla OXA-181 gene was also reported within Tn2013 transposon carried by IncX3- and ColKP3-type plasmids in China, India, and Germany [131-133]. Furthermore, IncL/M-type plasmids carrying the bla OXA-48 gene were reported in China and Europe [134-137]. Our analysis of literature data showed that, in most cases, the bla OXA-48 gene was carried by Tn1999.2 and Tn1999 transposons. The bla OXA-23 gene in A. baumannii was also reported in association with Tn2006 and Tn2007 transposons in studies from Algeria, Spain, Tahiti, France, Turkey, Vietnam, Romania, Libya, Australia, and France [128], which corresponds to our results. In papers from China, Italy, Taiwan, and Lebanon, as in our review, the bla OXA-58 gene was observed within composite transposons delimited by ISAba3 [128]. Furthermore, the bla OXA-420 gene was also reported within composite transposons delimited by ISAba3 in a study from India [138], while in papers from Korea, East Africa, and Italy [139-141], the bla VIM-2 gene was reported as a cassette in class 1 integrons carried by plasmids. An in-depth analysis and comparison of carbapenemase gene-associated MGEs reported from West Africa with the corresponding data from other parts of the world could provide a better understanding of the evolution and dissemination of carbapenemase gene-associated MGEs worldwide.
This systematic review revealed that the Kirby-Bauer disc diffusion (43.0%), PCR (22.1%), whole-genome sequencing (9.9%), Vitek 2-system (7.0%), E-test (7.0%), and partial genome sequencing (5.2%) were the most used methods for the detection of carbapenem resistance. It should be noted that more than one method was used to detect CRB in several studies. With a few exceptions, the methods, and technologies for detecting carbapenem resistance reported in studies from West Africa are the same as those used in Europe and East Africa. To illustrate, according to [121] the disc diffusion method and MIC determination methods were used in 90% of European labs while PCR and WGS – in 50% and 11% of labs correspondingly whereas the disc diffusion method (64.7%), PCR (47.1%), sequencing (23.5%), WGS (5.9%), BD Phoenix™ automated system (5.9%), and E-test (5.9%) were the most commonly used techniques in the labs of East African countries [113].
This systematic review revealed that amikacin, colistin, fosfomycin, and tigecycline are alternative antibiotics with the highest activity against CRB. In Africa, the Middle East, the Asia-Pacific region, and the USA, the most frequently reported alternative antibiotics active against CRB were amikacin and colistin, followed by ceftazidime/avibactam, tigecycline, ceftolozane/tazobactam, minocycline, and gentamycin [114, 117, 118, 122, 127]. Colistin and amikacin seem to be the two most reported alternative antibiotics worldwide. Therefore, in West Africa, the administration of amikacin and colistin should be strictly monitored to delay, as much as possible, the appearance and generalization of mutant bacterial clones resistant to these antibiotics.
CONCLUSION
Our systematic review shows the past and present of carbapenem resistance in West Africa in detail. According to our results, the West African region has a low prevalence of CRB compared to other African, European, and Asian regions. Additional publications on carbapenem resistance in West Africa may provide more accurate data. It seems that there are similar patterns of carbapenemase gene distribution among bacteria from the West, Central, and Southern Africa while mobile genetic elements carrying carbapenemase genes appeared to be like those reported worldwide. The transfer of bacteria by international travelers may have played an important role in bacterial distribution in Africa and worldwide. Additional WGS, multilocus sequence typing (MLST), and phylogenetic analyses could deepen our understanding of CRB strains circulating in West Africa. Additional funds should be allocated to African researchers to better prevent and counter CRB epidemics. Moreover, the use of the few antibiotics still effective against CRB circulating in West Africa should be restricted to emergency cases to help preserve their activity as much as possible. Preliminary phytotherapy studies have shown that several plants contain natural compounds that may be effective against CRB. Therefore, phytotherapy should be further investigated as a new approach to fighting CRB in West Africa. This could lead to discovering phytomedicines that are highly effective against CRB.