Evidence map›Paper›PMID 41973729›Full record

ArticlePLoS medicine2026

Clostridioides difficile colonization amplification despite limited in-hospital transmission: A modeling study.

Daniel De-la-Rosa-Martinez, Travis C Porco, Ashley Hazel, Xinran Liu, Karim Khader, Seth Blumberg

Abstract read
In one paragraph

Article in PLoS medicine, 2026. 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.

  1. Article
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.

Daniel De-la-Rosa-MartinezFrancis I. Proctor Foundation, University of California San Francisco, San Francisco, California, United States of America.ORCID https://orcid.org/0000-0002-6351-0302
Travis C PorcoFrancis I. Proctor Foundation, University of California San Francisco, San Francisco, California, United States of America.ORCID https://orcid.org/0000-0001-8813-3171
Ashley HazelFrancis I. Proctor Foundation, University of California San Francisco, San Francisco, California, United States of America.ORCID https://orcid.org/0000-0001-7680-5460
Xinran LiuDepartment of Medicine, University of California San Francisco, San Francisco, California, United States of America.ORCID https://orcid.org/0009-0003-5613-6193
Karim KhaderDepartment of Internal Medicine, University of Utah, Salt Lake City, Utah, United States of America.ORCID https://orcid.org/0000-0002-7206-8077
Seth BlumbergFrancis I. Proctor Foundation, University of California San Francisco, San Francisco, California, United States of America.ORCID https://orcid.org/0000-0001-5495-4238

Funding

Modeling the dynamics of disease eliminationR35GM147702 · NIGMS · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI Seth Blumberg · 2022 to 2026
$2.0M
NIGMS NIH HHS R35 GM147702
6 · The paper itself

Abstract

backgroundAlthough healthcare-associated transmission of Clostridioides difficile is a recognized public health concern, community-onset infections represent an important component of the overall disease burden. This paradox likely reflects the underappreciated interplay between these settings. We aimed to quantify in-hospital transmission and the hospital's contribution to community colonization by estimating the intrinsic reproduction number (Ri) and introducing the colonization amplification index (Ai), defined as the ratio of colonized patients at discharge to those at admission. Given the potential contribution of external cases, we also evaluated interventions targeting asymptomatic carriers at admission to reduce disease burden. METHODS AND

findingsWe developed a compartmental model informed by data from UCSF Medical Center to capture C. difficile transmission dynamics among symptomatic and asymptomatic patients. Across simulations, the median Ri was 0.61 (Q1-Q3: 0.53, 0.71), consistently indicating limited sustained in-hospital transmission (Ri < 1). In contrast, Ai was 1.9 (Q1-Q3: 1.7, 2.1), suggesting substantial amplification of colonization during hospital stay. Amplification of colonization persisted in sensitivity analyses, with Ri exceeding 1 under boundary values of low colonization prevalence at admission, a low proportion of colonized patients progressing to symptomatic disease, and prolonged incubation periods. Redefining healthcare-associated C. difficile infection (CDI) using thresholds from ≥1-day post-admission instead of the standard threshold of >3 days post-admission increased Ai and Ri by 11% and 21%, respectively. A threshold of ≥5 days post-admission reduced these metrics by 5% and 8%, respectively. Interventions targeting asymptomatic carriers through contact precautions and/or prophylactic treatment reduced both Ai and CDI incidence, with combined interventions yielding the greatest reductions, followed by contact precautions alone. Our main limitation stems from uncertainty in some parameters describing the disease's natural history, particularly colonization prevalence at admission, progression to symptomatic disease, and the incubation period, which may affect the precision of our estimates despite sensitivity analyses.

conclusionsOur findings indicate that in most potential scenarios, in-hospital transmission of C. difficile is limited (Ri < 1) and likely sustained by continuous importation of cases from the community. Nevertheless, hospitalization amplifies colonization (Ai > 1), which potentially contributes to community transmission. These results underscore the importance of interventions addressing asymptomatic carriers, a currently overlooked source of spread. Our study highlights the need to broaden metrics beyond Ri to capture hospitals' contribution to the C. difficile burden. Future infection control strategies should address colonization dynamics at admission and potentially at discharge to mitigate transmission and reduce the overall burden of C. difficile.

Indexed as

Clostridioides difficileClostridium InfectionsCross InfectionModels, BiologicalHumans

Identifiers

PMID41973729
PMCPMC13120704

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Registered trials

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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.