Evidence map›Paper›PMID 41721370›Full record

ArticleArchives of public health = Archives belges de sante publique2026

Incidence of hospital-acquired toxin-producing clostridioides difficile infection between the pre-pandemic (2017-2019) and pandemic (2020-2022): a retrospective cohort study.

Raquel García Rodríguez, María José Pereira Rodríguez, Alejandra Pilar García López, Fabián Freijedo Fariñas, Angela Nogueira Gómez

Abstract read
In one paragraph

Article in Archives of public health = Archives belges de sante publique, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing 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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

5 authors.

Raquel García RodríguezPreventive Medicine and Public Health Service, A Coruña University Hospital, As Xubias 84, 15006, Spain. raquel.garcia.rodriguez2@sergas.es.ORCID http://orcid.org/0000-0002-3148-3573
María José Pereira RodríguezPreventive Medicine and Public Health Service, A Coruña University Hospital, As Xubias 84, 15006, Spain.
Alejandra Pilar García LópezPreventive Medicine and Public Health Service, A Coruña University Hospital, As Xubias 84, 15006, Spain.
Fabián Freijedo FariñasPreventive Medicine and Public Health Service, A Coruña University Hospital, As Xubias 84, 15006, Spain.
Angela Nogueira GómezPreventive Medicine and Public Health Service, A Coruña University Hospital, As Xubias 84, 15006, Spain.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundIn 2020, the World Health Organization declared SARS-CoV-2 a global public health emergency. Healthcare systems were forced to reorganize care delivery and implement wide-ranging infection control strategies. Among hospital-acquired infections, toxin-producing Clostridioides difficile infection remains a major concern due to its transmission via contact and its association with high morbidity and mortality. Although primarily aimed at preventing viral transmission, the measures introduced during the COVID-19 pandemic may have influenced the incidence of other nosocomial infections, including toxin-producing Clostridioides difficile infection. This study aimed to evaluate and compare the incidence of nosocomial toxin-producing Clostridioides difficile infection during the pandemic and pre-pandemic periods, and to confirm associated risk factors across both periods.

methodsWe conducted a retrospective observational cohort study at A Coruña University Hospital, including data from 2017 to 2022. Patients meeting criteria for nosocomial Clostridioides difficile infection were categorized into pre-pandemic (2017-2019) or pandemic (2020-2022) cohorts. Variables analyzed included demographics (age, sex), prior antibiotic use, antiulcer therapy, immunosuppression and surgical history. Incidence rates were calculated and compared between periods, and associations between risk factors and toxin-producing Clostridioides difficile infection were analyzed using odds ratios (OR).

resultsA total of 249 nosocomial toxin-producing Clostridioides difficile infection cases were identified: 89 pre-pandemic and 160 during the pandemic, reflecting a 79.8% increase. Patients hospitalized during the pandemic faced a 92% greater risk of toxin-producing Clostridioides difficile infection (RR=1.92; CI95%: 1.48-2.49; P=0.001). Established risk factors such as prior antibiotic exposure (80% during the pandemic vs 86.5% pre-pandemic; P=0.20) and immunosuppression was frequent (39.3% pre-pandemic; 46.9% pandemic; P=0.25). Notably, the use of proton pump inhibitors significantly increased during the pandemic (P=0.02; 95%CI: 0.02-0.36). Surgical history, particularly gastrointestinal surgery, was significantly associated with complications (OR=6.6, 95%CI: 2.18-20.18). The incidence density of toxin-producing Clostridioides difficile infection (TCDI) during the pandemic years was 1.44 TCDI/10,000 patient-days. Predisposing factors included solid organ neoplasms (pre-pandemic 33.7%; pandemic 33.1%; P=0.36), secondary immunosuppression (pre-pandemic 31.5%; pandemic 40.6%; P= 0.41).

conclusionPatients admitted experienced a significantly higher risk of acquiring toxin-producing Clostridioides difficile infection during the pandemic. The data also indicate an increase in mortality associated with this infection and highlight proton pump inhibitor use as a contributing factor to the higher incidence.

Indexed as

Clostridioides difficileEpidemiologyHealth care associated infectionInfection prevention and control

Identifiers

PMID41721370
PMCPMC13032465

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.