Outpatient treatment of community-acquired pneumonia: evolving trends and a focus on fluoroquinolones.
Bibliographic record
Abstract
BACKGROUND: Increasing use of broad-spectrum antibiotics in the community, including fluoroquinolones, has been reported, despite concerns for developing antibiotic resistant organisms. Community-acquired pneumonia (CAP) is commonly treated on an outpatient basis, and recent treatment guidelines suggest only a limited role for fluoroquinolones. OBJECTIVES: To identify evolving trends in the outpatient treatment of CAP in adults, and to identify factors associated with receipt of a fluoroquinolone. METHODS: Retrospective observational design using population-based administrative data. Initial outpatient treatment for subjects diagnosed with CAP between May 1996 and March 2002 was examined. Logistic regression was used to examine the influence of patient characteristics on the receipt of a fluoroquinolone. RESULTS: A total of 31,940 outpatients with CAP were identified. The proportion of patients receiving fluoroquinolones increased from 6.6% in 1996/97 to 25.2% in 2001/02. Over the course of the study, 158 (25.9%) of the 610 patients meeting the eligibility criteria for treatment with fluoroquinolones, according to treatment guidelines, received these agents. Of the 31,330 subjects who did not meet the eligibility criterion, 3,886 (12.4%) received a fluoroquinolone. Other variables that influenced the receipt of a fluoroquinolone included: age (for every 10-year increase) [OR=1.16 (1.14-1.19)], urban residence [OR=1.40 (1.30-1.51)], presentation to an emergency department [OR=0.80 (0.70-0.90)], high-level drug use (six or more different drugs in the previous year) [OR=1.50 (1.41-1.59)], and income-level (highest to lowest) [OR=1.20 (1.08-1.35)]. CONCLUSION: The use of fluoroquinolones for the treatment of CAP is increasing. However less than 4% of the subjects receiving fluoroquinolones met eligibility requirements according to treatment guidelines. Initiatives to increase the uptake of treatment guidelines appear warranted.
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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 | 0.001 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| 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 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".