Cited by 59Clostridium difficile and Clostridium perfringens researchOpioid Use Disorder TreatmentPain Management and Opioid Use

Moderate to high use of opioid analgesics are associated with an increased risk of Clostridium difficile infection

Mora, Andrea L., Salazar, Miguel, Pablo-Caeiro, Juan, Frost, Craig P., Yadav, Yashoo, DuPont, Herbert L., Garey, Kevin W.·2012·The American Journal of the Medical Sciences

Abstract

Introduction Risk factors for Clostridium difficile infection (CDI) include use of broad-spectrum antibiotics, advanced age and lack of an appropriate immune response. Whether antiperistaltics such as opioid analgesics also increase the risk of CDI is uncertain. The purpose of this preliminary study was to determine whether opioid analgesics increase the risk of developing CDI in hospitalized patients receiving broad-spectrum antibiotics.Methods Hospitalized patients were assessed for incidence of CDI in relation to usage of opioid analgesics controlling for other known risk factors for CDI.Results During the study period, a total of 32,775 patients were identified of whom 192 had CDI. In univariate analysis, incidence of CDI increased significantly with moderate or high usage of opioids (P < 0.0001). One hundred of 21,396 (0.47%) patients who did not receive opioids developed CDI. Twenty-two of 6955 patients (0.32%) with mild usage of opioids developed CDI [odds ratio (OR): 0.68; 95% confidence interval (CI): 0.43-1.1; P = 0.10]. Thirty of 33,203 (0.93%) with moderate usage developed CDI (OR: 2.0; 95% CI: 1.3-3.0; P = 0.0009). Forty of 1029 (3.7%) patients with high usage of opioids developed CDI (OR: 8.3; 95% CI: 5.7-12.1; P < 0.0001). Similar results were observed using a multivariate Cox proportional hazard model.Conclusions Moderate to high use of opioid analgesics were associated with an increased risk of CDI.

Integrity signals

Registry

Crossref · 10.1097/maj.0b013e31822f42eb

Cites

24 of 24 references verified0 citation errors · 0 not checkable

Statistics

Recomputing p-values needs the paper’s full text.

Claims the paper makes

This paper’s full text isn’t openly available, so its claims and self-check weren’t run. The registry and citation checks still apply.

Claims other papers make about this one

Each is checked against this paper’s own text: does it say what the citing paper says it does?

Cites

Flagged first, then by citations

Cited by

Sorted by citations

Authors
Mora, A. L., Salazar, M., Pablo-Caeiro, J., Frost, C. P., Yadav, Y., DuPont, H. L., & Garey, K. W.
Affiliations
  • Texas A&M Health Science Center (US)
  • Baylor St. Luke's Medical Center (US)
  • University of Houston (US)
Corresponding author
Garey, Kevin W.
Venue
The American Journal of the Medical Sciences
Publisher
Elsevier BV
Published
2012-04
Volume
343
Issue
4
Pages
277-280
ISSN
0002-9629 (ISSN-L)
OpenAlex
W1966164840
Cited by
59
References
24
Citations by year
2026: 1 · 2025: 7 · 2024: 5 · 2023: 3 · 2022: 4 · 2021: 10 · 2020: 4 · 2019: 6 · 2018: 7 · 2017: 1 · 2016: 5 · 2015: 3 · 2013: 3
FWCI
0.65
Type
journal article
Language
en
Open access
closed
Locations
  • The American Journal of the Medical Sciences (publishedVersion)
  • PubMed (publishedVersion)
Topics
  • Health Sciences › Medicine › Infectious Diseases › Clostridium difficile and Clostridium perfringens research
  • Health Sciences › Medicine › Public Health, Environmental and Occupational Health › Opioid Use Disorder Treatment
  • Health Sciences › Medicine › Anesthesiology and Pain Medicine › Pain Management and Opioid Use
Keywords
Clostridium difficile infection, opioid analgesics, broad-spectrum antibiotics, hospitalized patients, risk factors, antibiotic-associated diarrhea
MeSH terms
Adult, Aged, Analgesics, Opioid, Clostridium Infections, Female, Humans, Male, Middle Aged, Retrospective Studies, Risk Factors, Cohort Studies, Clostridioides difficile

About these checks

Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.

Statistics and arithmetic are recomputed, not judged.

Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.

What counts as a claim ›How we measure confidence ›How we check this ›

Are you an author, or do you see a problem with this page? Request a review