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Record W219252020 · doi:10.1155/2011/261519

The Increasing Prevalence of Clindamycin Resistance in <i>Staphylococcus aureus</i> Isolates in Children with Head and Neck Abscesses

2011· article· en· W219252020 on OpenAlexaff
Ashlin J. Alexander, Susan E. Richardson, Alok Sharma, Paolo Campisi

Bibliographic record

VenueCanadian Journal of Infectious Diseases and Medical Microbiology · 2011
Typearticle
Languageen
FieldMedicine
TopicOtolaryngology and Infectious Diseases
Canadian institutionsHospital for Sick Children
Fundersnot available
KeywordsClindamycinStaphylococcus aureusMedicineHead and neckAntibioticsAbscessMethicillin-resistant Staphylococcus aureusAntibiotic resistanceStaphylococcal infectionsInternal medicineMicrobiologySurgeryBacteriaBiology

Abstract

fetched live from OpenAlex

OBJECTIVE: To retrospectively review trends in clindamycin resistance among Staphylococcus aureus head and neck abscesses between January 2000 and June 2008. METHODS: Between January 2000 and June 2008, inpatient and out-patient S aureus isolates were reviewed for antibiotic susceptibility. In particular, cultures from 153 abscesses in the head and neck region were assessed for clindamycin and methicillin resistance patterns. RESULTS: Annual clindamycin resistance rates for all S aureus isolates, and specifically for S aureus head and neck abscesses, revealed concerning levels of clindamycin and methicillin resistance. After 2002, the mean clindamycin resistance rate in head and neck abscesses was approximately 27%. The number of new cases of methicillin-resistant S aureus per year increased from four cases in 2000 to 44 cases in 2007. CONCLUSION: Antibiotic resistance should be considered following failed empirical therapy of head and neck abscesses with clindamycin.

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)0.001
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 score0.071
Threshold uncertainty score0.940

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.001
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 science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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 head0.005
GPT teacher head0.216
Teacher spread0.211 · 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

Citations9
Published2011
Admission routes1
Has abstractyes

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