Global epidemiology of high priority and pandemic <i>Pseudomonas aeruginosa</i> in pets, livestock, wild, and aquatic animals: a systematic review and meta-analysis
Bibliographic record
Abstract
High-priority and international high-risk Pseudomonas aeruginosa (PA) are emergent strains. Here, we performed the first systematic review and meta-analysis of studies that reported the frequency of PA, carbapenem (CARBR), and colistin (COLR) resistant PA in healthy and sick livestock (A), pets (B), wild (C), and aquatic animals (D) from January 2013 to January 2023, globally. Following the Preferred Reporting Items for Systematic Reviews and Meta-Analyses guidelines, 57 cross-sectional and eight prospective studies were found eligible. Random-effect models were used to determine the pooled prevalences. Phylogenetic analyses based on core-genome single nucleotide polymorphisms (SNPs) were performed using CSI Phylogeny 1.4. The overall pooled prevalence of PA, COLR-PA, and CARBR-PA were 18.6%, 4%, and 11.7%, respectively. Wild animals had the highest pooled prevalence of PA, 33.5%. The pooled prevalence of COLR was significantly higher in PA strains from sick than healthy animals (P < 0.0001). Furthermore, COLR was significantly highest in PA strains from wild animals, 9.8% [95% confidence interval (CI): 0.8-58.9], while CARBR was highest in PA strains from pets, 14.8% (95% CI: 6.7-29.8). Seven (ST235, ST111, ST233, ST244, ST357, ST308, and ST277) of the 10 high-risk CARBR-PA clones carrying ExoS/U were reported in animals. The SNP-based phylogenetic analysis of 23 genomes of CARBR-PA from animals obtained from publicly available databases revealed two closely related blaGES-carrying strains (<100 SNPs) in sick pets, suggesting a transmission event. A higher frequency of high-risk carbapenem than colistin-resistant PA strains exists in animals. These findings highlight the roles of different animal species, especially pets and wild animals in the persistence and dissemination of high-priority PA.
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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 | 0.002 | 0.000 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.009 | 0.001 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 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".