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Record W4401465318 · doi:10.34921/amj.2024.88.21.001

CHARACTERISTICS OF CAUSATIVE AGENTS OF SURGICAL WOUND INFECTIONS IN MEDICAL INSTITUTIONS

2024· article· az· W4401465318 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueAzerbajdžanskij medicinskij žurnal · 2024
Typearticle
Languageaz
FieldMedicine
TopicIntramuscular injections and effects
Canadian institutionsWestern University
Fundersnot available
KeywordsCausativeIntensive care medicineMedicineComputer scienceArtificial intelligence

Abstract

fetched live from OpenAlex

Məqalədə cərrahi yara infeksiyalarının etioloji agentlərinin və onların antimikrob preparatlara həssaslıq və rezistentliyinin araşdırılması məqsədilə aparılmış tədqiqat işi haqqında məlumat verilmişdir. Tədqiqat 2019-2022-ci illərdə Azərbaycan Tibb Universitetinin Tədris Cərrahiyyə klinikasında müalicə almış xəstələr üzərində aparılmışdır. Cərrahi əməliyyatlardan sonra baş verən yara infeksiyaları zamanı yara, drenaj və abses möhtəviyyatların mikrobioloji müayinəsi nəticəsində cərrahi yara infeksiyalarının əsas törədicilərinin S.aureus, P.aeruginosa, E.coli, Klebsiella cinsli bakteriyalar, eləcə də Candida cinsli göbələklər olduğu müəyyən edilmişdir. P.aeruginosa, E.coli vəKlebsiella cinsli bakteriyalar əksər antibiotiklərə davamlı olması ilə fərqlənmişlər. E.coli və Klebsiella cinsli bakteriya ştammlarının əksəriyyətində genişlənmiş spektrli betalaktamaza (GSBL), P.aeruginosa ştammlarının təqribən yarısında induksiya olunan beta-laktamaza (İsBL) produksiyası aşkar edilmişdir. The article presents the results of a study conducted to investigate the etiological agents of surgical wound infections, their sensitivity, and resistance to antimicrobial agents. The study was carried out on patients who received surgical treatment at the clinic of Azerbaijan Medical University from 2019 to 2022. Microbiological examination of the contents of wounds, drains, and abscesses in wound infections that occurred after surgical operations was conducted. The study found that the main causative agents of surgical wound infections are S. aureus, P. aeruginosa, E. coli, Klebsiella, as well as Candida fungi. P. aeruginosa, E. coli, and Klebsiella are resistant to most antibiotics. Extended-spectrum beta-lactamase production was identified in most bacterial strains of E. coli and Klebsiella, while inducible beta-lactamase production was determined in approximately half of the P. aeruginosa strains. В статье представлена результаты исследования, проведённого с целью изучения этиологических агентов хирургических раневых инфекций, их чувствительности и резистентности к антимикробным препаратам. Исследование было проведено у больных, получавших хирургическое лечение в клинике Азербайджанского медицинского университета в 2019-2022 гг. Проводили микробиологическое исследование содержимого ран, дренажей и абсцессов при раневых инфекциях, возникших после хирургических операций. В результате исследования установлено, что основными возбудителями хирургических раневых инфекций являются S.aureus, P.aeruginosa, E.coli, Klebsiella, а также грибы Candida. P.aeruginosa, E.coli и Klebsiella устойчивы к большинству антибиотиков. Продукция бета-лактамаз расширенного спектра была определена у большинства бактериальных штаммов E.coli и Klebsiella, а продукция индуцибельной бета-лактамазы (ИБЛ) была определена примерно у половины штаммов P.aeruginosa.

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.

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)0.002
metaresearch head score (Gemma)0.002
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Research integrity, Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.293
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.002
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0020.001
Bibliometrics0.0020.003
Science and technology studies0.0000.002
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0040.000

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 head0.025
GPT teacher head0.347
Teacher spread0.322 · 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