The first prevalence and antifungal susceptibility profile of Candida infections in Palestine, 2022
Bibliographic record
Abstract
BACKGROUND: Candida spp. are the most common cause of opportunistic fungal infections and are associated with a high mortality rate worldwide. In Palestine, the prevalence of Candida spp. infections remains elusive. METHODS: We performed our study at two hospitals in Palestine (Istishari Arab Hospital, and Najah National University Hospital). All patients diagnosed with candidiasis during the year 2022 have participated in the study. The prevalence of Candida spp., their distribution, and the activity of selected antifungals against Candida pathogens were assessed. In combination with phenotypic properties, Candida isolates were identified and tested for antifungal susceptibility using the colorimetric VITEK-2 Compact system. RESULTS: Our results showed that the prevalence of Candida spp. among infected samples was 11.6%. A total of eleven different Candida spp. were identified. Among these isolates, C. albicans (46.54%) was the most frequent, followed by C. glabrata (16.14%), C. tropicalis (13.83%), C. parapsilosis (4.82%), C. krusei (3.56%), C. dubliniensis (2.09%), C. ciferrii (1.67%), C. lusitaniae (0.83%), C. guilliermondii (0.62%), C. kefyer (0.41%) and C. spherica (0.20%). Among C. albicans, all isolates were 100% susceptible to fluconazole and micafungin. The susceptibility rates to Amphotericin B and flucytosine were 95% and 99%, respectively. The susceptibility rates of non-albicans Candida spp. (NAC) to fluconazole, voriconazole, amphotericine B, caspofungin, flucytosine and micafungin were 70%, 99%, 97%, ,72%, 92% and 100%, respectively. The incidence of Candida infections was higher in the intensive care unit and surgery department as compared to other hospital departments. CONCLUSIONS: Four pathogens are responsible for the most invasive infections: C. albicans, C. glabrata, C. tropicalis, and C. parapsilosis. A notable characteristic of this study was the high frequency of NAC species which were often more resistant to antifungal agents. A quick and accurate system like Vitek 2 compact was suggested for the careful species identification of clinical isolates of Candida. We suggest that continued surveillance of species distribution and susceptibility to antifungals will enhance future burden estimates and assist in evaluating preventative measures' effectiveness.
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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 | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 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".