1433. Impact of 2019 US Food and Drug Administration (FDA) Guidance on Developing Drugs for Urinary Tract Infection (UTI) on the Perceived Efficacy of Antibiotics for the Treatment of Uncomplicated UTI (uUTI)
Bibliographic record
Abstract
Abstract Background In 2019, the FDA issued guidance on drug development for treatment of UTIs. To explore the impact of this guidance, we compared clinical and microbiological outcomes of the fluoroquinolones norfloxacin and ciprofloxacin and the β-lactams pivmecillinam and sulopenem for treatment of uUTIs from original publications versus recent analyses conducted in accordance with the FDA guidance. Methods The efficacy of pivmecillinam 400 mg twice daily (BID), 3 days (3d) versus norfloxacin 400 mg BID, 3d was reported in a 2002 publication. Patient-level data were used to re-analyze clinical and microbiological outcomes in the microbiological intent-to-treat population in accordance with the 2019 FDA guidance. For descriptive comparison, we present the efficacy of ciprofloxacin 250 mg BID, 3d vs sulopenem 500 mg BID, 5d in the 2020 SURE-1 trial (also conducted in accordance with FDA guidance) alongside historical efficacy data for ciprofloxacin. Results Re-analysis of data from the trial of pivmecillinam and norfloxacin showed microbiological responses for pivmecillinam and norfloxacin of 64% and 79%, respectively. Microbiological responses were higher, 75% for pivmecillinam and 91% for norfloxacin, in the original analysis. For clinical response, re-analysis showed 75% for pivmecillinam and 88% for norfloxacin, while historical data were 82% and 88%, respectively. In the SURE-1 trial, the microbiological response of patients assessed at Day 12 was 76.6% for sulopenem and 79.1% for ciprofloxacin. In a 2002 publication, bacterial eradication at 4 to 11 days after treatment was 93.7% for ciprofloxacin 250 mg, a higher response rate than that reported in SURE-1. For clinical response, rates were 78.7% for ciprofloxacin in SURE-1 and 92.7% for the historical ciprofloxacin data. Conclusion When assessed in accordance with the 2019 FDA guidance, clinical and microbiological efficacy of both fluoroquinolones and β-lactam antibiotics appears lower than has been published in the past. Healthcare providers should be aware that newer antibiotics may appear to have a lower efficacy than older antibiotics due to the application of more stringent definitions in the FDA guidance. Disclosures Anne Santerre Henriksen, MS, Advanz (Consultant)Shionogi BV (Consultant)UTILITY Therapeutics (Consultant) Lindsay Nicolle, MD, Entos (Consultant)GSK (Consultant)Iterum (Consultant)Utility Therapeutics (Consultant) Anita F. Das, PhD, Adagio Therapeutics, Inc. (Consultant)
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 | 0.000 |
| 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) | 0.000 | 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".