Epidemiology and associated risk factors for candidemia in a Canadian tertiary paediatric hospital: An 11-year review
Bibliographic record
Abstract
Background: Candidemia represents a significant cause of morbidity and mortality in children. We examined the epidemiology and associated risk factors of candidemia at a Canadian tertiary care paediatric hospital over an 11-year period. Methods: A retrospective chart review was conducted on children with positive blood culture for Candida species between January 1, 2007 and December 31, 2018. Patient demographics, previously described candidemia risk factors, Candida species, follow-up investigations, interventions, and outcome data were included in the analysis. Results: Sixty-one candidemia episodes were reported with an overall incidence rate of 5.1 cases per 10,000 patient admissions. Of the 66 species identified, the most common was Candida albicans (53%, 35), followed by Candida parapsilosis (18%, 12), and Candida glabrata (8%, 5). Mixed candidemia was noted in 8% (5/61) of episodes. The most common risk factors included presence of central venous catheter (95%, 58/61) and receipt of antibiotics in the last 30 days (92%, 56/61). Majority of patients received abdominal imaging (89%, 54/61), ophthalmology consult (84%, 51/61), and echocardiogram (70%, 43/61), regardless of age. Line removal was performed in 81% (47/58) of cases. Evidence of disseminated fungal disease on abdominal imaging was observed in 11% (6/54) of patients, all in non-neonates but with risk factors including immunosuppression and gastrointestinal abnormalities. The overall 30-day case fatality rate was 8% (5/61). Conclusions: C. albicans was the most commonly isolated species. Disseminated candidiasis was demonstrated mainly on abdominal imaging in patients with relevant risk factors, including immunosuppression and gastrointestinal abnormalities.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.005 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.008 | 0.016 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.002 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".