MétaCan
Menu
Back to cohort
Record W2577640125

Antimicrobial resistance in indicator Escherichia coli from medium-sized swine herds in North-eastern Thailand

2016· article· en· W2577640125 on OpenAlexaboutno aff
Matilda Halje

Bibliographic record

VenueEpsilon Archive for Student Projects (University of Southampton) · 2016
Typearticle
Languageen
FieldEnvironmental Science
TopicPharmaceutical and Antibiotic Environmental Impacts
Canadian institutionsnot available
Fundersnot available
KeywordsBiosecurityAntibiotic resistanceLivestockAntibioticsAntimicrobialBiotechnologyMedicineIntensive care medicineEnvironmental healthVeterinary medicineBiologyMicrobiology
DOInot available

Abstract

fetched live from OpenAlex

Antimicrobial resistance (AMR) is a fast growing global threat in several perspectives. In medicine the antimicrobials are crucial in the treatment of some diseases and without the antimicrobials those diseases might be fatal. In veterinary medicine antimicrobials are used as treatment, prevention and growth promoters and without them it would be difficult to handle some diseases which could result in extensive economic losses for the animal owner as well as for the society as a whole, especially in developing countries.
\nExcessive and imprudent use of antibiotics may contribute to the development and dissemination of resistant bacteria and genes. Several studies have shown a risk for dissemination of resistant bacteria from food animals to humans and therefore measures have been taken on national as well as on international levels to curb this progression. One example of such measures is surveillance systems to monitor the resistance pattern of selected microbes regularly. A gained knowledge about the resistance patterns, along with knowledge about resistance mechanisms, makes it possible to adjust regulations and recommendations for antibiotic usage so that less broad-spectrum antibiotics are used in favor for the narrow-spectrum antibiotics or, for that matter, no antibiotics at all.
\nImprovements in preventive management such as good hygiene and biosecurity would also decrease the need for antimicrobials in animals and livestock which would be beneficial in hindering the progression of AMR.
\nThis study aims to contribute to the important monitoring and mapping of AMR in livestock. The pig production in Thailand is expanding and an increasing number of large-scaled farms are appearing at the same time as the number of smaller farms decreases. Therefore Thailand was chosen for this study.
\nIn this study indicator Escherichia coli was cultured from rectal swabs from healthy sows on 27 medium-sized (100-500 sows) farms in the northeast of Thailand. Samples were collected from three sows at each farm, resulting in 81 samples in total. To test them for antibiotic susceptibility a VetMIC GN-mo panel was used – a MIC-based (minimum inhibitory concentration) broth-microdilution method. Antibiotic substances included in the study were: amoxicillin, ciprofloxacin, nalidixic acid, gentamicin, streptomycin, tetracycline, florfenicol, colistin, sulfamethoxazole, trimethoprim, chloramphenicol, meropenem, cefotaxime and ceftazidime.
\nAt each farm a questionnaire was also filled in to enable identification of possible risk factors for antibiotic resistance. The questions were chosen and formulated in a manner that would give us insight in the routines regarding antibiotic usage, husbandry and health status of the pigs.
\nFrom 81 samples, 81 Escherichia coli isolates were obtained. The percentage of resistant isolates among the tested isolates for each of the included antibiotics was as follows: ampicillin (85.2%), ciprofloxacin (48.1%), nalidixic acid (30.8%), gentamicin (7.4%), streptomycin (76.5%), tetracycline (86.3%), florfenicol (2.4%), colistin (0.0%), sulfamethoxazole (84.0%), trimethoprim (70.4%), chloramphenicol (58.0%), cefotaxime (1.2%) and ceftazidime (3.7%). Multidrug resistance (MDR) was found in 95.1% of the isolates. The variations in management and antibiotic usage among the farms were very small and therefore statistical relationships could not be obtained in regards to management, antibiotic usage and antibiotic resistance.
\nSome of the results for meropenem were found to be unreliable. One of the strains (M13) had nevertheless a high minimum inhibitory concentration (MIC) for meropenem as well as for other betalactams and is therefore possibly ESBLCARBA-producing (extended spectrum betalactamase- and carbapenemase-producing). Such finding would be perturbing since an ESBLCARBA-producing strain are resistant to several highly important antimicrobials. This result needs however to be further investigated with PCR (polymerase chain reaction).
\nAlthough there are undertakings regarding AMR in Thailand, the usage of antimicrobials in animals remains less defined and the presence of AMR seems to be high compared to Sweden and Europe as well as Canada. An AMR surveillance program is necessary in Thailand as well as other Southeast Asian countries to be able to draw plausible conclusions regarding the AMR and the effect of antibiotic usage in this region.
\nThis study shows a wide use of antibiotics in the farms included. All of the farms administered antibiotics to the sows as injection as a routine after farrowing. The results from the antibiotic susceptibility tests display a generally high resistance frequency for a majority of the included antibiotics. This indicates that a wide use of antibiotics results in resistant bacteria, which makes a prudent antibiotic use, as well as surveillance systems, crucial to curb the development of more resistant bacteria.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.081
Threshold uncertainty score0.998

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.017
GPT teacher head0.243
Teacher spread0.226 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations0
Published2016
Admission routes1
Has abstractyes

Explore more

Same venueEpsilon Archive for Student Projects (University of Southampton)Same topicPharmaceutical and Antibiotic Environmental ImpactsFrench-language works237,207