| Literature DB >> 32895433 |
Jacob Stanley Iramiot1,2, Henry Kajumbula3, Joel Bazira4, Catherine Kansiime3, Benon B Asiimwe3.
Abstract
Intensive usage of antimicrobials in the management of animal diseases leads to selection for resistance among microorganisms. This study aimed to assess antimicrobial use and to describe factors associated with the transmission of antimicrobial resistance between humans and animals in pastoralist communities of Kasese district. A mixed-methods approach was employed in this study. Rectal swabs were collected from the participants and cattle and transported in Carry-Blaire transport medium to the laboratory within 24 h of collection for culture and sensitivity to confirm carriage of multi-drug resistant bacteria. In-depth interviews were conducted among veterinary officers, veterinary drug vendors, human health facility in-charges in both public and private health facilities, and operators of human pharmacies and drug shops. Carriage of multi-drug resistant bacteria among humans was 88 (93%) and 76(80%) among cattle. Consumption of lakeshore water and carriage of multi-drug resistant bacteria in cattle were associated with carriage of multi-drug resistant bacteria in the human population. The prevalence of multi-drug resistance among organisms Isolated from both humans and animals was high. There is a high likelihood of transmission of multi-drug resistance between humans and animals.Entities:
Mesh:
Substances:
Year: 2020 PMID: 32895433 PMCID: PMC7477235 DOI: 10.1038/s41598-020-70517-w
Source DB: PubMed Journal: Sci Rep ISSN: 2045-2322 Impact factor: 4.379
Figure 1Study profile. Others = (Klebsiella oxitoca, Serratia fonticola, Kluyvera ascorbate, Enterobacter cloacae, Enterobacter aerogenes).
Figure 2Routine activities in pastoralist communities. Children swimming in a landing site while cattle drink water and women fetch water for domestic chores.
Knowledge, opinions, and perceptions of antimicrobial resistance.
| Respondents’ responses on the understanding of the issue of antimicrobial resistance | True; No (%) | False; No (%) | I don’t Know; No (%) |
|---|---|---|---|
| (1) Antimicrobial resistance occurs when your body becomes resistant to antimicrobials and they no longer work as well | 74 (78) | 8 (8) | 13 (14) |
| (2) Many infections are becoming increasingly resistant to treatment by antimicrobials | 56 (59) | 22 (23) | 17 (18) |
| (3) If bacteria are resistant to antimicrobials, it can be very difficult or impossible to treat the infections they cause | 75 (79) | 7 (7) | 13 (14) |
| (4) Antimicrobial resistance is an issue that could affect me or my family | 68 (72) | 14 (15) | 13 (14) |
| (5) Antimicrobial resistance is an issue in other countries but not here | 7 (7) | 74 (78) | 14 (15) |
| (6)Antimicrobial resistance is only a problem for people who take antimicrobials regularly | 41 (43) | 41 (43) | 13 (14) |
| (7) Bacteria which are resistant to antimicrobials can be spread from person to person | 75 (79) | 8 (8) | 12 (13) |
| (8) Antimicrobial-resistant infections could make medical procedures like surgery, organ transplants and cancer treatment much more dangerous | 49 (52) | 31 (33) | 15 (16) |
Factors Associated with MDR in bacteria Isolated in the pastoralists community of Kasese district.
| Factors | No (%) | Presence of MDR | Absence of MDR | COR | AOR | 95% CI | |
|---|---|---|---|---|---|---|---|
| Male | 40 (42) | 39 (97) | 1 (3) | 4.7 | 7.6 | 0.7862–74.2152 | 0.08 |
| Female | 55 (58) | 49 (89) | 6 (11) | ||||
| No formal education | 19 (20) | 18 (95) | 1 (5) | 0.75 | 0.3038–1.8751 | 0.54 | |
| Primary | 40 (42) | 36 (90) | 4 (10) | ||||
| Secondary | 30 (32) | 30 (100) | 0 (0) | ||||
| Tertiary | 6 (6) | 4 (67) | 2 (33) | ||||
| Yes | 23 (24) | 19 (83) | 4 (17) | 4.8 | 5.1 | 0.9390–28.6662 | 0.06 |
| No | 72 (76) | 69 (96) | 3 (4.2) | ||||
| Borehole | 29 (31) | 25 (86) | 4 (14) | 1.6 | 1.0150–2.5062 | 0.04 | |
| Protected spring | 3 (3) | 26 (67) | 1 (33) | ||||
| Open well | 1 (1) | 1 (10) | 0 (0) | ||||
| Lake shore | 62 (65) | 60 (97) | 2 (3.2) | ||||
| 2 weeks ago | 11 (12) | 11 (100) | 0 (0) | 0.6 | 0.3491–1.36566 | 0.29 | |
| 1 month ago | 11 (12) | 11 (100) | 0 (0) | ||||
| > 3 months ago | 28 (30) | 24 (86) | 4 (14) | ||||
| > 6 months ago | 30 (32) | 29 (97) | 1 (3) | ||||
| > 1 year ago | 14 (15) | 12 (86) | 2 (14) | ||||
| HCII | 33 (35) | 33 (100) | 0 (0) | 0.8 | 0.5148–1.3943 | 0.51 | |
| HCIII | 16 (17) | 13 (81) | 3 (19) | ||||
| HCIV | 1 (1) | 1 (100) | 0 (0) | ||||
| Hospital | 30 (32) | 26 (87) | 4 (13) | ||||
| Private clinic | 15 (16) | 15 (100) | 0 (0) | ||||
| Yes | 12 (13) | 10 (83) | 2 (17) | 0.3 | 0.5 | 0.0073–29.7543 | 0.7 |
| No | 83 (87) | 78 (94) | 5 (6) | ||||
| Yes | 34 (36) | 32 (94) | 2 (6) | 1.4 | 0.2619–7.7916 | 0.68 | |
| No | 61 (64) | 56 (92) | 5 (8) | ||||
| Yes | 41 (43) | 37 (90) | 4 (10) | 0.5 | 0.1148–2.5781 | 0.44 | |
| No | 54 (57) | 51 (94) | 3 (0.1) | ||||
| Yes | 9 (9) | 7 (78) | 2 (22.2) | 0.2 | 0.1 | 0.0020–7.3649 | 0.3 |
| No | 86 (91) | 81 (94) | 5 (5.8) | ||||
| Rarely | 26 (27) | 26 (100) | 0 (0) | 0.6 | 0.8 | 0.2985–2.2464 | 0.7 |
| Frequently | 60 (63) | 56 (93) | 4 (6.7) | ||||
| Don’t know | 9 (10) | 6 (67) | 3 (33.3) | ||||
| Yes | 76 (89) | 74 (970 | 2 (2.6) | 13 | 2.3276–75.0209 | 0.004 | |
| No | 19 (11) | 14 (74) | 5 (26.3) | ||||
Antibiotic resistance patterns of bacteria isolated from humans and cattle to selected antibiotics.
| Drugs | Human isolates | Cattle isolates | ||||
|---|---|---|---|---|---|---|
| Others (n = 12) | ||||||
| Ampicillin | 113 (85) | IR | 12 (100) | 67 (80) | IR | 14 (100) |
| Amoxicillin-clavulanic acid | 81 (60) | 27 (87) | 11 (92) | 56 (67) | 18 (82) | 11 (79) |
| Cefazolin | 130 (98) | 29 (94) | 12 (100) | 81 (96) | 20 (91) | 13 (92) |
| Cefuroxime | 63 (47) | 23 (74) | 12 (100) | 41 (49) | 14 (64) | 12 (86) |
| Ceftazidime | 48 (36) | 18 (58) | 8 (7) | 30 (36) | 11 (50) | 7 (50) |
| Ceftriaxone | 47 (35) | 18 (58) | 7 (58) | 30 (36) | 11 (50) | 6 (43) |
| Cefepime | 47 (35) | 19 (61) | 7(58) | 30 (36) | 12 (55) | 5 (36) |
| Ciprofloxacin | 5 (4) | 1 (3) | 0 (0) | 1 (1) | 4 (18) | 0 (0) |
| Levofloxacin | 5 (4) | 1 (3) | 0 (0) | 2 (2) | 4 (18) | 0 (0) |
| Gentamycin | 2 (2) | 0 (0) | 0 (0) | 0 (0) | 0 (0) | 1 (7) |
| Tetracycline | 15 (11) | 10 (32) | 1 (8) | 14 (17) | 9 (41) | 1 (7) |
| Nitrofurantoin | 28 (21) | 13 (42) | 10 (83) | 27 (32) | 11 (50) | 7 (50) |
| Imipenem | 5 (4) | 2 (7) | 3 (25) | 4 (5) | 3 (14) | 3 (21) |
| Ertapenem | 12 (9) | 4 (13) | 1 (8) | 10 (12) | 2 (9) | 2 (14) |
| Cotrimoxazole | 96 (72) | 14 (45) | 4 (33) | 44 (52) | 8 (36) | 4 (29) |
IR Intrinsically Resistant, Others Klebsiella oxitoca, Serretia fonticola, Kluyvera ascorbate, Enterobacter cloacae, Enterobacter aerogenes).
Inter-host resistance comparison for E. coli isolated from humans and cattle.
| Drugs | |||
|---|---|---|---|
| Ampicillin | 113 (85) | 67 (80) | 0.321 |
| Amoxicillin-clavulanic acid | 81 (60) | 56 (67) | 0.391 |
| Cefazolin | 130 (98) | 81 (96) | 0.565 |
| Cefuroxime | 63 (47) | 41 (49) | 0.836 |
| Ceftazidime | 48 (36) | 30 (36) | 0.955 |
| Ceftriaxone | 47 (35) | 30 (36) | 0.955 |
| Cefepime | 47 (35) | 30 (36) | 0.955 |
| Ciprofloxacin | 5 (4) | 1 (1) | 0.261 |
| Levofloxacin | 5 (4) | 2 (2) | 0.576 |
| Gentamycin | 2 (2) | 0 (0) | 0.426 |
| Tetracycline | 15 (11) | 14 (17) | 0.256 |
| Nitrofurantoin | 28 (21) | 27 (32) | 0.067 |
| Imipenem | 5 (4) | 4 (5) | 0.718 |
| Ertapenem | 12 (9) | 10 (12) | 0.493 |
| Cotrimoxazole | 96 (72) | 44 (52) | 0.003 |
| MDR | 10 5(79) | 67 (80) | 0.885 |
| ESBL | 46 (35) | 30 (36) | 0.865 |
There was no significant difference in resistance to particular drugs between the human and cattle isolates except for Cotrimoxazole (P < 0.05).
Themes identified during the analysis.
| Themes | Subthemes | ||
|---|---|---|---|
| (1) Common diseases managed with antibiotics | Cattle | East coast fever (ECF) Anaplasmosis Heartwater Babesia Respiratory tract infections | |
| Humans | Malaria Bacterial infections Urinary tract infections Respiratory tract infections Typhoid Ear, Nose and Throat infections Wounds | ||
| (2) Common drugs consumed | Cattle | Oxytetracycline in different concentrations and brands Penicillin and streptomycin (Penstrep) Sulphadimidine Ivermectin Trypanocidals | |
| Humans | Amoxiclav Ampiclox Ciprofloxacin Benzylpenicillin Amoxicillin Ceftriaxone | Cotrimoxazole Dexamethasone Metronidazole Ampicillin Gentamicin Chloramphenicol | |
| (3) Awareness of antimicrobial resistance | Awareness | Many people are aware No local term for antimicrobial resistance We have not talked at length about antimicrobial resistance with the pastoralists People do not know that AMR is there but they just see things failing and they blame the drugs that they are counterfeit | |
| Source of information | Patients who have not improved on medication Experience | ||
| (4) Drivers of antibiotic resistance | Poverty where people cannot buy full dose No laboratories for culture to confirm resistance Inadequate knowledge of health workers People do not take full dose even when it is there, they leave medicine as soon as they improve Not following instructions Fake drugs on the market | ||
| (5) Surveillance and monitoring | It’s not done Not heard of any | ||
| (6) Proposed intervention | Improve testing services Stop quacks from selling medicine Minimize drug stock-outs in government units Provide charts for antimicrobial resistance Bring new drugs | ||