Risk Factors for Antibiotic Exposure Post-Fecal Microbiota Transplantation for Recurrent

William Hirsch, Monika Fischer, Alexander Khoruts, Jessica R Allegretti, Colleen R Kelly, Byron Vaughn

Abstract read

In one paragraph

Article in Open forum infectious diseases, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it

0cells of the map it votes in

1citing papers in PubMed

–field-weighted citation impact

1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

Microbiome-based therapeutics forGut microbes · 2026
Review

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

6 authors.

William HirschDepartment of Medicine, University of Minnesota, Minneapolis, Minnesota, USA.ORCID https://orcid.org/0000-0003-2849-659X

Monika FischerDivision of Gastroenterology and Hepatology, Department of Medicine, Indiana University, Indianapolis, Indiana, USA.

Alexander KhorutsDivision of Gastroenterology, Hepatology, and Nutrition, Department of Medicine, University of Minnesota, Minneapolis, Minnesota, USA.

Jessica R AllegrettiBioTechnology Institute, University of Minnesota, St Paul, Minnesota, USA.

Colleen R KellyDivision of Gastroenterology, Brigham and Women's Hospital, Harvard Medical School, Boston, Massachusetts, USA.

Byron VaughnDivision of Gastroenterology, Hepatology, and Nutrition, Department of Medicine, University of Minnesota, Minneapolis, Minnesota, USA.ORCID https://orcid.org/0000-0001-5081-3761

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Recurrent Methods: This is a prospective cohort of patients who were administered FMT for recurrent CDI from 1 July 2019 through 23 November 2023 across 6 institutions in the United States. Providers collected de-identified data at the time of FMT administration and in the months post-FMT administration. Results: The analysis included 448 patients. Risk factors for non-CDI antibiotic administration within 2 months of FMT included immunocompromised status (odds ratio [OR], 2.2 [95% confidence interval {CI}, 1.1-4.4]; Conclusions: Non-CDI antibiotic exposure significantly increases the risk of CDI recurrence post-FMT. Risk factors for non-CDI antibiotic administration within 2 months of FMT include immunocompromised status, multiple prior non-CDI antibiotics, and prior hospitalization for CDI. These individuals may benefit from additional or modified recurrent CDI prevention strategies.

Indexed as

antimicrobial stewardshipantimicrobial useClostridium difficile infectionfecal microbiota transplantationrecurrent Clostridioides difficile infection

Identifiers

PMID40103733

DOI10.1093/ofid/ofaf130

PMCPMC11913780

What OpenQuestion holds

Textmetadata

LicenceCC BY

Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.