Species distribution and antifungal susceptibility of invasive Candida isolates from Canadian hospitals: results of the CANWARD 2011–16 study
Bibliographic record
Abstract
OBJECTIVES: Understanding the epidemiology of invasive Candida infections is essential to patient management decisions and antifungal stewardship practices. This study characterized the species distribution and antifungal susceptibilities of prospectively collected isolates of Candida species causing bloodstream infections (BSIs) in patients admitted to tertiary care hospitals located in 14 cities across 8 of the 10 Canadian provinces between 2011 and 2016. METHODS: Antifungal susceptibility testing was performed by broth microdilution using CLSI methods, breakpoints and epidemiological cut-off values. DNA sequencing of fks loci was performed on all echinocandin-non-susceptible isolates. RESULTS: Candida albicans (49.6%), Candida glabrata (20.8%) and Candida parapsilosis complex (12.0%) were the most common species out of 1882 isolates associated with BSIs. Candida tropicalis (5.2%), Candida krusei (4.3%), Candida dubliniensis (4.1%), Candida lusitaniae (1.4%) and Candida guilliermondii (1.1%) were less frequently isolated. Between 2011 and 2016, the proportion of C. albicans significantly decreased from 60.9% to 42.1% (P < 0.0001) while that of C. glabrata significantly increased from 16.4% to 22.4% (P = 0.023). C. albicans (n = 934), C. glabrata (n = 392) and C. parapsilosis complex (n = 225) exhibited 0.6%, 1.0% and 4.9% resistance to fluconazole and 0.1%, 2.5% and 0% resistance to micafungin, respectively. Mutations in fks hot-spot regions were confirmed in all nine micafungin non-susceptible C. glabrata. CONCLUSIONS: Antifungal resistance in contemporary isolates of Candida causing BSIs in Canada is uncommon. However, the proportion of C. glabrata isolates has increased and echinocandin resistance in this species has emerged. Ongoing surveillance of local hospital epidemiology and appropriate antifungal stewardship practices are necessary to preserve the utility of available antifungal agents.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 teacher head, 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".