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Record W2002605200 · doi:10.1016/j.ijid.2011.09.016

Ten-year experience with fungal peritonitis in peritoneal dialysis patients: antifungal susceptibility patterns in a North-American center

2011· review· en· W2002605200 on OpenAlexaff
Jasmin Levallois, Annie‐Claire Nadeau‐Fredette, Annie‐Claude Labbé, Michél Laverdière, Denis Ouimet, Michel Vallée

Bibliographic record

VenueInternational Journal of Infectious Diseases · 2011
Typereview
Languageen
FieldMedicine
TopicAntifungal resistance and susceptibility
Canadian institutionsUniversité de MontréalHôpital Maisonneuve-Rosemont
Fundersnot available
KeywordsPeritoneal dialysisAntifungalPeritonitisCenter (category theory)MedicineInternal medicineDermatologyChemistry

Abstract

fetched live from OpenAlex

OBJECTIVE: To describe the clinical and microbiological features associated with fungal peritonitis in peritoneal dialysis (PD) patients at Hôpital Maisonneuve-Rosemont, from August 1996 to July 2006. METHODS: Cases were retrieved from the microbiology laboratory culture registry. Antifungal susceptibility was determined by the Clinical and Laboratory Standards Institute M27A3 method. RESULTS: Among 288 PD patients (total follow-up of 7258 patient-months), nine were found with fungal peritonitis. Candida spp were identified in all of them, with a majority of non-albicans Candida species. Resistance to fluconazole, itraconazole, or voriconazole was as frequent as potential resistance to amphotericin B. No isolate was resistant to caspofungin and one was resistant to micafungin. Prior bacterial peritonitis was frequent (67%). All patients had their PD catheter removed and all of them survived. CONCLUSIONS: In our institution, fungal peritonitis in PD patients is rare. All cases were caused by Candida species. Variable susceptibility patterns were observed, which may influence the initial empirical antifungal therapy and underscore the importance of individual speciation and susceptibility testing of invasive Candida isolates.

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 categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.289
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0020.001
Bibliometrics0.0010.001
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 head0.016
GPT teacher head0.309
Teacher spread0.293 · 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.

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

Citations46
Published2011
Admission routes1
Has abstractyes

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