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Record W2099755706 · doi:10.1099/0022-1317-51-8-677

Aetiology and antifungal susceptibility of yeast bloodstream infections in a Hungarian university hospital between 1996 and 2000

2002· article· en· W2099755706 on OpenAlexaboutno aff
Ilona Dóczi, Erika Dósa, Edit Hajdú, Elisabeth Nagy

Bibliographic record

VenueJournal of Medical Microbiology · 2002
Typearticle
Languageen
FieldMedicine
TopicAntifungal resistance and susceptibility
Canadian institutionsnot available
Fundersnot available
KeywordsAntifungalEtiologyMicrobiologyYeastMedicineFungemiaBloodstream infectionEchinocandinsBiologyIntensive care medicineFluconazoleInternal medicineGeneticsCaspofungin

Abstract

fetched live from OpenAlex

The purpose of this study was to evaluate the aetiology and susceptibility of different Candida species originating from blood cultures received from different clinical wards of the University Hospital in Szeged, Hungary, from 1996 to 2000. A total of 145 episodes of fungaemia occurred in 68 patients. In 73.5% of the patients the infections were due to Candida albicans, 7.3% to C. parapsilosis, 5.9% to C krusei, 4.4% to C. tropicalis and 3% each to C. glabrata, other Candida spp. and Cryptococcus neoformans. There were no appreciable differences in the distribution of yeast species during the 5-year period: C. albicans remained the predominant species causing bloodstream infections in this hospital, similar to the results of other studies (Norway, SENTRY Program in USA, Canada and South America). Most of the Candida isolates (39.3%) were from blood cultures of patients hospitalised in surgical wards, 28.3% were from adult intensive care units (ICUs), 13.8% from paediatric ICUs, 11% from haematology and 7.6% from cardiology departments. MICs for amphotericin B, fluconazole and itraconazole were determined for 83% of the isolates. All isolates were susceptible to amphotericin B. The percentage of yeast isolates with decreased susceptibility or resistance to fluconazole was smaller (15.7%) than that for itraconazole (24%).

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)0.001
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 score0.013
Threshold uncertainty score0.488

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0000.001
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 head0.011
GPT teacher head0.244
Teacher spread0.233 · 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

Citations40
Published2002
Admission routes1
Has abstractyes

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