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Epidemiology of Fungal Infections in Hematological Malignancies in Italy: SEIFEM-2004 Study (Sorveglianza Epidemiologica Infezioni Fungine Nelle Emopatie Maligne).

2005· article· en· W2574817830 on OpenAlexaff
Livio Pagano, Morena Caira, Anna Candoni, Massimo Offidani, Bruno Martino, Vincenzo Liso, Marco Picardi, Alessandro Bonini, Anna Chierichini, Rossella Fanci, Cecilia Caramatti, Rosangela Invernizzi, Andrea Gallamini, Maria Enza Mitra, Lorella Melillo, Bernardino Allione, Luana Fianchi, Paolo Falcucci, Caterina Giovanna Valentini, Maria Teresa Van Lint, Corrado Girmenia, Anna Maria Nosari

Bibliographic record

VenueBlood · 2005
Typearticle
Languageen
FieldMedicine
TopicFungal Infections and Studies
Canadian institutionsUniversity Hospital Foundation
Fundersnot available
KeywordsIncidence (geometry)MedicineInternal medicineEpidemiologyFusariosisMucormycosisPopulationMucoralesAspergillosisGastroenterologySurgeryFusariumImmunologyBiology

Abstract

fetched live from OpenAlex

Abstract Background: To evaluate the incidence and the outcome of fungal infections in patients (pts) affected by hematological malignancies (HM). Methods: A retrospective study, conducted over 1999–2003, in pts with HM, admitted in 18 Italian Hematology divisions in tertiary cares or university hospitals, who developed proven or probable fungal infections. Results: The population included 11,802 pts: 3,012 AML (25.5%), 1,173 ALL (9.9%), 596 CML (5%), 1,104 CLL (9.4%), 1,616 MM (13.7%), 3,457 NHL (29.3%), 844 HL (7.2%). Pts who underwent HSCT were included in a different analysis. A fungal infection occurred in 538 pts, with an incidence of 4.6%; in particular we registered 346 episodes sustained by moulds (incidence 2.9%) and 193 by yeasts (1.6%). The incidence rate depends upon underlying malignancy (12.3% in AML, 6.5% in ALL, 2.7% in CML, 0.6% in CLL, 0.5% in MM, 1.6% in NHL, 0.9% in HL). Among moulds, the etiological agents were Aspergillus (310 episodes, incidence 2.8%), Mucorales (13 pts, 0.1%), Fusarium (15 pts, 0.1%), and other rare fungi (7 pts, 0.1%). Among yeasts we registered septicemia due to Candida (175 pts, 1.6%). Other yeast infections were caused by Cryptococcus (8 pts, 0.1%), Tricosporon (7 pts, 0.1%) and other rare agents (2 pts). We did not observed an increase of A.terreus infections while the number of episodes sustained by A.flavus increased from 1999 to 2003 (RR 2.10; IC95% 0.8–5.49; p-value 0.117). The overall mortality rate was 1.8%. Among 538 pts with fungal infection 39% died for this complication, with differences between aspergillosis (42%), zygomycosis (63%), fusariosis (53%) and candidemia (33%). There was not variation in mortality rate during the study period; comparing these pts with those observed in our previous studies during the period 1987–1988 we observed a significant reduction of death due to aspergillosis (RR 1.90; IC 95% 1.17–3.09), but no differences in mortality rate due to Candida. Conclusions: Our study confirms the general trends already described: infections due to moulds are more frequent than those caused by yeast. Aspergillus remains the main etiologic agent, followed by Candida. The other agents (Mucorales, Fusarium, Trichosporon) remain rare. AML represents the most frequently involved category. The mortality rate due to aspergillosis is actually about 40%, with a remarkable decrease when compared to past years; as for candidemia, we observed a reduction in the incidence, but not in the mortality rate.

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)0.001
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: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.005
Threshold uncertainty score0.010

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0010.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

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 head0.049
GPT teacher head0.323
Teacher spread0.275 · 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 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".

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Citations5
Published2005
Admission routes1
Has abstractyes

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