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Record W2921989911 · doi:10.14740/cii.v4i1.74

A Rare Case of Primary Spinal Epidural Abscess Caused by Streptococcus mitis in an Immunocompetent Adult With Incidentally Diagnosed Allergic Bronchopulmonary Aspergillosis

2019· article· en· W2921989911 on OpenAlexvenueno aff
Osama Hallak, Sameera Natarajan, Arjun Natarajan

Bibliographic record

VenueClinical Infection and Immunity · 2019
Typearticle
Languageen
FieldMedicine
TopicInfectious Diseases and Tuberculosis
Canadian institutionsnot available
Fundersnot available
KeywordsMedicineDiscitisAbscessEpidural spaceStreptococcus mitisStaphylococcus aureusSurgeryEpidural abscessSpinal canalMagnetic resonance imagingClindamycinSpinal cordSpinal cord compressionAntibioticsRadiologyStreptococcusMicrobiologyBacteria

Abstract

fetched live from OpenAlex

Spinal epidural abscess (SEA) is a rare suppurative infection of the epidural space which can mechanically compress the spinal cord. Bacteria gain access to this space by hematogenous spread, direct extension, or direct inoculation into the spinal canal. SEA is almost always associated with risk factors, such as diabetes, human immunodeficiency virus (HIV), trauma, intravenous drug use, or spinal injections. The most commonly implicated organism is Staphylococcus aureus (73%), followed by coagulase-negative Staphylococcus and gram-negative organisms. We present a rare case of an immunocompetent woman with no risk factors found to have a primary spinal epidural abscess which grew Streptococcus mitis . To the best of our knowledge this is only the second such case in literature, with the first one being reported in 1995 in an adult man with hemophilia. Diagnosis is made by magnetic resonance imaging (MRI), and treatment is surgical decompression and antibiotics. Clin Infect Immun. 2019;4(1):12-15 doi: https://doi.org/10.14740/cii74

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 score0.007
Threshold uncertainty score0.998

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
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 head0.019
GPT teacher head0.319
Teacher spread0.300 · 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
Published2019
Admission routes1
Has abstractyes

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