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Record W4281726928 · doi:10.3138/jammi-2021-0032

<i>Aspergillus fumigatus</i>sternal osteomyelitis following cardiac surgery: Case report and literature review

2022· article· en· W4281726928 on OpenAlexaffvenue
Carson K. L. Lo, Evan W Wilson

Bibliographic record

VenueJournal of the Association of Medical Microbiology and Infectious Disease Canada · 2022
Typearticle
Languageen
FieldMedicine
TopicAntifungal resistance and susceptibility
Canadian institutionsQueen's UniversityMcMaster University
Fundersnot available
KeywordsAspergillus fumigatusSternumOsteomyelitisMedicineCardiac surgeryAspergillusGeneral surgerySurgeryMicrobiologyBiologyImmunology

Abstract

fetched live from OpenAlex

BACKGROUND: Sternal osteomyelitis caused by Aspergillus spp is uncommon in cardiac surgery patients requiring sternotomy. CASE PRESENTATION: We report a 77-year-old male with a history of poorly controlled diabetes who was diagnosed with Aspergillus sternal osteomyelitis, three months following an uneventful coronary artery bypass surgery. He underwent multiple debridement surgeries and was treated with voriconazole. Despite a complicated post-operative course, the patient responded well to voriconazole with clinical and biochemical evidence of remission. Unfortunately, he died of an unrelated cause due to decompensated heart failure. DISCUSSION: Though uncommon, Aspergillus sternal osteomyelitis should be considered in the differential diagnosis of immunocompetent patients with post-operative sternal wound infections and negative bacterial tissue cultures. Management should include a combination of medical and surgical therapy.

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: Case report · Consensus signal: Case report
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.004
Threshold uncertainty score0.005

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0040.003
Science and technology studies0.0010.001
Scholarly communication0.0010.002
Open science0.0010.001
Research integrity0.0020.001
Insufficient payload (model declined to judge)0.0020.001

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 head0.004
GPT teacher head0.228
Teacher spread0.224 · 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 designCase report
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
Published2022
Admission routes2
Has abstractyes

Explore more

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