A20 FECAL MICROBIOTA TRANSPLANTATION FORMULATIONS DO NOT AFFECT BACTERIAL VIABILITY OR TREATMENT OUTCOMES IN RECURRENT C. DIFFICILE INFECTION
Bibliographic record
Abstract
Abstract Background Fecal microbiota transplantation (FMT) is the most effective therapy for recurrent Clostridioides difficile infections (rCDI) with multiple RCTs showing efficacy of 80-90%. Frozen FMT is a commonly used formulation but requires storage at -80°C, creating barriers to storage and transportation. More recently, lyophilized FMT (LFMT) has shown promise as an alternative formulation, but little data exists as to how bacterial viability may be affected compared to fresh or frozen FMT by different storage temperatures and duration, and real-world outcome data is sparse. As such, this study aims to evaluate the viability and efficacy of LFMT compared to fresh and frozen FMT. Aims To 1) compare bacterial viability in 3 FMT formulations: fresh, frozen and lyophilization, at varying storage temperatures and duration, and 2) correlate different formulations with treatment outcomes. Methods We compared bacterial viability using flow cytometry to determine the proportion of live vs dead bacteria on fresh, frozen and lyophilized donor stool samples stored at different temperatures (-80°C for frozen, -80°C and +4°C for LFMT) and duration (up to 12 months). We then retrospectively examined treatment success rates in rCDI patients who received fresh, frozen or LFMT at the University of Alberta since inception of the FMT program in 2012. Success is defined as no recurrence of CDI 8 weeks after receiving a single FMT treatment. Results Compared to fresh FMT (20% live cells), the proportions of live cells in frozen formulation stored at -80°C and lyophilized formulations stored at -80°C and 4°C did not diminish over time for up to 12 months as shown in Figure 1. Between 2013-2022, outcome data was available in 503 rCDI patients with baseline characteristics and treatment outcomes shown in Table 1. A logistic regression analysis comparing LFMT to frozen FMT resulted in an odds ratio of 0.14, indicating that success rate of LFMT is 14% higher than frozen FMT. Conclusions Our study showed that LFMT stored at either -80°C or 4°C over 12 months did not result in diminished bacterial viability compared with frozen FMT. Furthermore, treatment success rate following LFMT in rCDI patients was not lower than with frozen FMT. This finding has implication for stool banks and FMT programs as LFMT can be stored and shipped at 4°C, facilitating use in outpatient settings. Table 1. Baseline characteristics and success rates of rCDI patients who received fresh, frozen or LFMT. Figure 1. Proportions of live cells in frozen FMT stored at -80°C, LFMT stored at -80°C and 4°C, at 1, 3, 6, 9 and 12 months. Funding Agencies None
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 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".