A Systematic Review of the Efficacy and Safety of Fecal Microbiota Transplant for<i> Clostridium difficile</i> Infection in Immunocompromised Patients
Bibliographic record
Abstract
Background: (CD) infection, with resolution in 80% to 90% of patients. However, immunosuppressed patients were often excluded from FMT trials, so safety and efficacy in this population are unknown. Methods: We searched MEDLINE and EMBASE for English language articles published on FMT for treatment of CD infection in immunocompromised patients (including patients on immunosuppressant medications, patients with human immunodeficiency virus (HIV), inherited or primary immunodeficiency syndromes, cancer undergoing chemotherapy, or organ transplant, including-bone marrow transplant) of all ages. We excluded inflammatory bowel disease patients that were not on immunosuppressant medications. Resolution and adverse event rates (including secondary infection, rehospitalization, and death) were calculated. Results: Forty-four studies were included, none of which were randomized designs. A total of 303 immunocompromised patients were studied. Mean patient age was 57.3 years. Immunosuppressant medication use was the reason for the immunocompromised state in the majority (77.2%), and 19.2% had greater than one immunocompromising condition. Seventy-six percent were given FMT via colonoscopy. Of the 234 patients with reported follow-up outcomes, 207/234 (87%) reported resolution after first treatment, with 93% noting success after multiple treatments. There were 2 reported deaths, 2 colectomies, 5 treatment-related infections, and 10 subsequent hospitalizations. Conclusion: We found evidence that supports the use of FMT for treatment of CD infection in immunocompromised patients, with similar rates of serious adverse events to immunocompetent patients.
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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 | 0.028 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.009 | 0.006 |
| Bibliometrics | 0.009 | 0.010 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.002 | 0.002 |
| Open science | 0.002 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.005 | 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".