In vitro activity of ceftaroline against bacterial pathogens isolated from patients with skin and soft tissue and respiratory tract infections in the Middle East and Africa: AWARE global surveillance programme 2015–2018
Bibliographic record
Abstract
OBJECTIVES: To report antimicrobial susceptibility testing surveillance data for ceftaroline and comparative agents from the AWARE global surveillance programme for bacterial pathogens causing skin and soft tissue infections (SSTIs) and lower respiratory infections (RTIs) in Middle East and African countries from 2015 to 2018. METHODS: Pathogens were identified by MALDI-TOF/MS. Antimicrobial susceptibility testing was performed using the Clinical and Laboratory Standards Institute (CLSI) broth microdilution method. MICs were interpreted by both CLSI (M100, 2020) and European Committee on Antimicrobial Susceptibility Testing (EUCAST) (v 10.0, 2020) breakpoints. RESULTS: All MSSA (n = 1125) and 93.9% of MRSA (n = 1235) were susceptible to ceftaroline (MIC ≤ 1 μg/mL, CLSI and EUCAST). The maximum ceftaroline MIC observed for MRSA was 2 μg/mL; no ceftaroline-resistant MRSA were identified among SSTI (CLSI and EUCAST) and RTI (CLSI) isolates. All isolates of β-haemolytic Streptococcus (n = 324), and penicillin-susceptible (PSSP) and -intermediate Streptococcus pneumoniae (PISP; n = 369) were susceptible to ceftaroline. Rates of susceptibility to ceftaroline for penicillin-resistant S. pneumoniae (penicillin MIC ≥ 2 μg/mL; n = 175), and β-lactamase-negative (BLNHI; n = 224) and β-lactamase-positive Haemophilus influenzae (n = 49) were 99.4%, 98.7%, and 98.0% (CLSI) and 92.6%, 98.2%, and 83.7% (EUCAST), respectively. Rates of susceptibility to ceftaroline for ESBL-negative Escherichia coli (n = 442), Klebsiella pneumoniae (n = 381), and Klebsiella oxytoca (n = 103) were 92.1%, 93.2%, and 96.1%, respectively. CONCLUSION: Ceftaroline-resistant isolates of MRSA causing SSTIs were not identified in Middle East and African countries in 2015-2018 using recently revised CLSI (in 2019) or EUCAST (in 2018) breakpoint criteria. Common bacterial pathogens causing SSTIs (Staphylococcus aureus, β-haemolytic Streptococcus) and lower RTIs (PSSP, PISP, BLNHI) demonstrated no resistance or low levels of resistance (0-1.8%) to ceftaroline.
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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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| 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".