Postsurgical Carprofen Does Not Substantially Decrease Bacterial Growth in a Minipig Model of Staphylococcus aureus Deep Surgical Wound Infection

The use of analgesia in bacterial challenge models has been met with some controversy in the literature. Several publications suggest that the use of analgesics in infection models can interfere with the host immune response, change microenvironments subsequently altering bacterial pathogenesis, and directly act as an antimicrobial as was reported with opioids such as morphine. Any such interactions would compromise the experimental results, deterring researchers from the use of analgesia. Herein, we address the possible effect of analgesics on bacterial colonization in a Staphylococcus aureus surgical site infection model in Göttingen minipigs. Retrospectively, an expanded analgesia protocol (buprenorphine presurgery and carprofen postsurgery) was compared with a standard analgesia protocol using buprenorphine alone just before surgery. When examined statistically, the expanded analgesia protocol group was noninferior to the standard analgesia protocol group indicating there was no substantial decrease in bacterial burden when an expanded analgesia protocol was administered. Our results highlight the importance of studying the use of analgesia in all animal models of infection to determine if the analgesics will affect experimental outcomes.

Authors

Institutions

Publication Details

Journal
Comparative Medicine
Published
2024-11-20
DOI
https://doi.org/10.30802/aalas-cm-24-055
Primary Topic
Surgical site infection prevention
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Postsurgical Carprofen Does Not Substantially Decrease Bacterial Growth in a Minipig Model of Staphylococcus aureus Deep Surgical Wound Infection

Jessica Henn, Lukas K. Buehler, Jan Serroyen, Kirsten L. Bair et al.
1 links
Comparative Medicine
Surgical site infection prevention
article

Postsurgical Carprofen Does Not Substantially Decrease Bacterial Growth in a Minipig Model of Staphylococcus aureus Deep Surgical Wound Infection

Jessica Henn, Lukas K. Buehler, Jan Serroyen, Kirsten L. Bair, Jeffrey Fernandez, Jolaine M. Wilson, Kuntal Chakravarty
article en

Abstract

The use of analgesia in bacterial challenge models has been met with some controversy in the literature. Several publications suggest that the use of analgesics in infection models can interfere with the host immune response, change microenvironments subsequently altering bacterial pathogenesis, and directly act as an antimicrobial as was reported with opioids such as morphine. Any such interactions would compromise the experimental results, deterring researchers from the use of analgesia. Herein, we address the possible effect of analgesics on bacterial colonization in a Staphylococcus aureus surgical site infection model in Göttingen minipigs. Retrospectively, an expanded analgesia protocol (buprenorphine presurgery and carprofen postsurgery) was compared with a standard analgesia protocol using buprenorphine alone just before surgery. When examined statistically, the expanded analgesia protocol group was noninferior to the standard analgesia protocol group indicating there was no substantial decrease in bacterial burden when an expanded analgesia protocol was administered. Our results highlight the importance of studying the use of analgesia in all animal models of infection to determine if the analgesics will affect experimental outcomes.

Comparative MedicineVol. 74(6)
Janssen (Belgium) (BE), Janssen (United States) (US)
Good health and well-being
Openalex Percentile: Top 61%
Surgical site infection prevention
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.