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Record W2898777623

Identificación de estreptococo b-hemolítico en hisopados nasofaríngeos de perros con patologías respiratorias en diferentes clínicas en la ciudad de Machala

2017· dissertation· es· W2898777623 on OpenAlexaboutno aff
Pineda Flores, Jeniffer Virginia

Bibliographic record

Venuenot available
Typedissertation
Languagees
FieldMedicine
TopicStreptococcal Infections and Treatments
Canadian institutionsnot available
Fundersnot available
KeywordsMedicineStreptococcus dysgalactiaeHaemolysisMicrobiologyStreptococcus pneumoniaeStreptococcusStreptococcus equiGroup BRespiratory tractSerologyImmunologyRespiratory systemStreptococcus agalactiaeBacteriaBiologyInternal medicineAntibioticsAntibody
DOInot available

Abstract

fetched live from OpenAlex

Respiratory pathologies in canines have been one of the main diseases presented in the daily clinic. In the cold season we have the visits of the owners of the pets with the presence of cough, difficulty in breathing by the congestion of the respiratory mucous membranes, tearing, excessive humidity and presence of secretion in the nostrils. All this set of clinical signs leads to the presence of respiratory diseases, complicating the health status of the animal mainly in puppies and geriatric dogs. Infectious diseases include viruses, fungi, mycoplasmas and bacteria. Among the bacterial diseases, β-hemolytic streptococci have been identified as one of the causative agents, which can be found as a natural inhabitant of the upper respiratory tract, such as the nasopharynx. These types of bacteria are classified by Lancefield in serological groups A, B, C, D, F, and G by the degree of haemolysis they cause at the time of culture in media such as lamb's blood agar. Within the β-hemolytic identified in the dogs is the group G Streptococcus canis, isolated from oral and vaginal microbiota in canines, which can become opportunistic pathogens according to the health condition of the animal. Streptococcus equi with its subspecies Streptococcus zoopidemicus as well as Streptococcus dysgalactiae with its two subspecies: equisimilis and dysgalactiae belonging to the C group of Lancefield. The general objective of this work was to identify the presence of β-hemolytic streptococcus in nasopharyngeal discharges from dogs and to study antimicrobial susceptibility-related findings with the occurrence of respiratory diseases. Twenty-five dogs (Mestizos, Great Danes, French Poodle, Pequines, Chihuahua, Labrador, Miniature Doberman, Pitbull, and Shitzut) were used, from one month and a half to 16 years old, of different breeds and with clinical signs of respiratory diseases, in three different clinics of the City of Machala. The sample was taken with a swab at the level of the pharyngeal entrance and in the nostrils. For the bacterial identification, the macroscopic study was carried out observing the shape, size and aspects of the colonies as well as the production of hemolysis. Subsequently, the staining of Gram and the microscopic study of the bacterium were performed. Of the 25 dogs that were examined at the three Machala clinics, the predominant isolation was the Staphylococcus spp bacteria that were identified as positive cocci and catalase positive, β-hemolytic streptococci, occupying the second place. The genera Escherichia, Proteus, Enterococcus and Klebsiella were found in a lower percentage and were also isolated in a lower percentage of non-fermenting Gram negative bacilli (BGNNF). Serological agglutination test in Latex (Streptex) was performed resulting in three positive samples from the Lancefield G serological group to which belongs to Streptococcus canis and one positive from the Lancefield serotype D to which Enterococcus belongs. In the antimicrobial susceptibility test it was observed that Streptococcus canis is sensitive to penicillin and erythromycin and presented intermediate sensitivity to tetracycline. In conclusion, it can be said that β-hemolytic streptococci are found in the pharynx of dogs and could be the direct and indirect cause of respiratory diseases of canines. It is recommended to carry out more bacterial isolates in dogs with respiratory diseases as well as antimicrobial susceptibility in order to carry out adequate treatment and to avoid bacterial resistance.

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.001
Version: metacan-v3-hybrid-931329e0061cValidation 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 score0.007
Threshold uncertainty score0.015

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0010.001
Scholarly communication0.0010.000
Open science0.0000.000
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 head0.019
GPT teacher head0.361
Teacher spread0.342 · 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 source (direct Gemma or distilled Codex), 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
Published2017
Admission routes1
Has abstractyes

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