Long-Term Safety and Efficacy of Fecal Microbiota Transplantation in the Treatment of <i>Clostridium difficile</i> Infection in Patients With and Without Inflammatory Bowel Disease: A Tertiary Care Center’s Experience
Bibliographic record
Abstract
BACKGROUND: infection (CDI) carries a large burden on the national public health with its high morbidity and mortality rates. Patients with inflammatory bowel disease (IBD) are generally at higher risk of infection, recurrence and complications. Therefore, the need for more reliable and safe therapy is necessary. Our study aims to evaluate long-term fecal microbiota transplant (FMT) outcomes in the general population compared to patients with IBD. METHODS: A single center long-term follow-up study was conducted to evaluate the outcomes of FMT in patients with and without IBD. Prior to FMT data including demographics, prior treatment of CDI and severity of symptoms were gathered via chart review. Post FMT, all patients were surveyed after 2 days, 30 days and > 1 year to assess clinical and laboratory response. Our study outcomes included primary cure rate (negative CDI testing > 1 year after single FMT), and secondary cure rate (negative CDI testing > 1 year after repeat FMT or after an additional course of antibiotic with or without repeat FMT). RESULTS: Seventy-eight patients with recurrent or refractory CDI and subsequent FMT treatment were included. Mean age was 57 years, and 69% were females and twenty-one (27%) had IBD. Primary cure rate was achieved in 77% of the cases while secondary cure rate reached 100% at the end of the study. IBD patients were younger with an average age of 47 years, and had more complains of abdominal pain (71%), and required escalation of therapy in 50% of patients. CONCLUSIONS: FMT was effective in the eradication of CDI in patients with and without IBD, but with no significant symptoms improvement in patients with IBD. Future randomized control studies are needed to examine the long-term progression of IBD and quality of life in patients treated with FMT compared to standard therapy of antibiotics for recurrent CDI.
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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 | 0.002 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.001 |
| 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".