High-Dose Oral Vancomycin for Treatment of Clostridioides difficile Is Associated With High Risk of Subsequent Cultures With Gram-Negative Organisms
Bibliographic record
Abstract
Background Vancomycin is associated with disruption of the indigenous microbiota, potentially predisposing patients to overgrowth of endogenous pathogens. Our objective was to determine whether high-dose oral vancomycin is associated with cultures growing gram-negative organisms in adult patients with Clostridioides difficile infection (CDI). Methods This is a retrospective cohort study of 632 adult patients with CDI from January 2015 to December 2017. The primary outcome was prevalence of cultures growing gram-negative organisms within 6 months after onset of the first episode of CDI. A multivariate logistic regression analysis was used to determine predictors of the outcome. Results One hundred fifty-three patients (24.2%) had cultures growing gram-negative organisms after onset of CDI, where urine (97, 63.4%) and blood (27, 17.7%) were the most common sources. The most commonly isolated gram-negative organisms were Escherichia coli (49, 32.0%) and Klebsiella species (34, 22.2%). A total of 38 (38/100, 38.0%) and 48 (48/199, 24.1%) of the patients who received high- and standard-dose oral vancomycin, respectively, had gram-negative organism growth on culture (odds ratio [OR], 2.22, 95% confidence interval [CI], 1.41–3.5; P = 0.02). The multivariate analysis showed that high-dose oral vancomycin (OR, 2.21; 95% CI, 1.29–3.79; P = 0.004) and recent use of antibiotic therapy within 3 months (OR, 2.11; 95% CI, 1.27–3.52; P = 0.004) were associated with positive cultures growing gram-negative organisms. Conclusions High-dose oral vancomycin therapy for CDI was associated with increased risk of gram-negative organisms probably throughout disruption of the indigenous microbiota.
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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 | 0.001 | 0.016 |
| 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 | 0.001 |
| 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".