Susceptibility of Community Gram‐Negative Urinary Tract Isolates to Mecillinam and Other Oral Agents
Bibliographic record
Abstract
OBJECTIVE: To determine the susceptibility of community outpatient Gram-negative urinary tract isolates to mecillinam and other commonly used oral agents. DESIGN AND SETTING: The study was a laboratory-based study of consecutive Gram-negative urinary tract isolates. Only those isolates considered to be significant pathogens were included in the study. Susceptibility testing was performed using agar dilution methodology following guidelines published by the National Committee for Clinical Laboratory Standards. POPULATION STUDIED: Outpatients presenting to a family physician or clinic with signs or symptoms suggestive of a urinary tract infection were included in the study. MAIN RESULTS: Of 2000 consecutive community isolates (91.8% Escherichia coli, 3.9% Klebsiella species, 2.0% Proteus species, 2.3% others), in vitro susceptibilities were: mecillinam 98.8%, ampicillin 77.0%, ciprofloxacin 100%, trimethoprim/sulfamethoxazole 91.6% and nitrofurantoin 95.4%. Susceptibility to mecillinam was significantly better than all other agents except ciprofloxacin (P<0.001, McNemar's test). Organisms with reduced susceptibility to mecillinam included Citrobacter species, Pseudomonas aeruginosa and Providencia species. CONCLUSIONS: Community Gram-negative urinary tract isolates remain highly sensitive to mecillinam and ciprofloxacin, but a significant number have developed resistance to trimethoprim/sulfamethoxazole. Further studies are required to determine the clinical significance of these results.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 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) | 0.001 | 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 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".