There Is No Association Between Patient Outcomes and Demographics in an Open-Label Safety and Efficacy Study of RBX2660, a Microbiota-Based Drug for Recurrent Clostridium difficile Infection
Bibliographic record
Abstract
Introduction: Microbiota therapy is gaining acceptance to prevent recurrent Clostridium difficile infection (rCDI) in multi-recurrent patients. Recent microbiota-based therapy trials have suggested that treatment outcomes may be subject to demographic differences. However, a recent double-blind, placebo-controlled Phase 2B trial of RBX2660, a standardized microbiota-based drug, demonstrated no association between demographics and efficacy to prevent rCDI. Herein we evaluated data from a Phase 2 open-label trial of RBX2660 to determine whether rCDI prevention differed in relationship to age, gender, or geographic location. Methods: This prospective, multicenter, open-label Phase 2 study enrolled patients who had experienced either ≥2 CDI recurrences following ≥2 courses of standard-of-care antibiotic therapy or ≥2 episodes of severe CDI that required hospitalization. Patients received up to 2 doses of RBX2660 (a microbiota-based drug manufactured from live human-derived microbes) delivered via enema with doses 7 days apart. Efficacy was defined as no CDI recurrence through 56 days after completion of treatment. Efficacy rates were compared between RBX2660-treated patients and a matched set of antibiotic-treated historical controls. Subjects in the historical control arm met all inclusion criteria applicable to subjects treated with RBX2660 and were analyzed as if with the antibiotic treated as placebo. Demographic information was collected at time of enrolment. For this interim analysis, logistic regression was used to determine probability of demographic impact on successful rCDI prevention. Results: A total of 138 RBX2660 and 110 historical control subjects were included from 31 and 4 centers, respectively, in the United States and Canada. Efficacy for RBX2660 to prevent rCDI was significantly higher than CDI-free rates in the historical control group (P<0.001). Demographics, clinical variables and patient outcomes (Table 1) were fit to a logistic regression model. Treatment success was not dependent on age, gender, or geographic site of administration (P>0.05). Treatment was the only factor that had a significant effect on outcome (P<0.05).Table: Patient outcomes classified by covariate from an open-label clinical trial evaluating the microbiota-based drug RBX2660 for rCDI prevention.Conclusion: Patient age, gender, and geographic location did not have a statistically significant impact on rCDI patient outcome in this open-label study of RBX2660, extending previous findings from a randomized controlled trial.
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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 | 0.006 | 0.007 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.004 | 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".