Cited by 153Enhanced Recovery After SurgeryAirway Management and Intubation TechniquesAnesthesia and Sedative Agents

Regurgitation under anesthesia in a fasted patient prescribed semaglutide for weight loss: a case report

Open access
Gulak, Michael A., Murphy, Patricia·2023·Canadian Journal of Anesthesia/Journal canadien d'anesthésie

Abstract

Purpose Glucagon-like peptide-1 receptor agonists (GLP-1 RAs) such as semaglutide are a class of medications prescribed to treat type 2 diabetes mellitus, and more recently, as an adjunct for weight loss because of its effects of delaying gastric emptying and suppressing appetite. Semaglutide is a long-acting agent with a half-life of approximately one week, and there are currently no guidelines that address the perioperative management of such agents. Clinical features We describe an unexpected case of regurgitation of a large volume of gastric contents upon induction of general anesthesia in a nondiabetic, nonobese patient despite a long preoperative fasting period (20 hr for solids and eight hours for clear fluids). This patient had no traditional risk factors for regurgitation or aspiration but was taking the GLP-1 RA semaglutide for weight loss and had last taken the medication two days before their scheduled procedure. Conclusions Patients taking long-acting GLP-1 RAs such as semaglutide may be at risk of pulmonary aspiration under anesthesia. We propose strategies to mitigate this risk including holding the medication four weeks prior to a scheduled procedure when feasible and considering full stomach precautions.

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Integrity signals

Registry

Crossref · 10.1007/s12630-023-02521-3

Cites

16 of 16 references verified0 citation errors · 0 not checkable

Statistics

Claims the paper makes

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

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?

Self-check

Percentages, sums and reported differences re-computed from the paper’s own numbers.

The self-check needs the paper’s full text.

Cites

Flagged first, then by citations

Cited by

Sorted by citations

Authors
Gulak, M. A., & Murphy, P.
Affiliations
  • University of Toronto (CA)
  • University Health Network (CA)
Corresponding author
Gulak, Michael A.
Venue
Canadian Journal of Anesthesia/Journal canadien d'anesthésie
Published
2023-06-06
Volume
70
Issue
8
Pages
1397-1400
ISSN
  • 0832-610X (ISSN-L)
  • 1496-8975
OpenAlex
W4379522676
Cited by
153
References
16
Citations by year
2026: 32 · 2025: 54 · 2024: 56 · 2023: 11
FWCI
40.99
Type
journal article
Language
en
Open access
Locations
  • Canadian Journal of Anesthesia/Journal canadien d anesthésie (publishedVersion)
  • PubMed (publishedVersion)
Topics
  • Health Sciences › Medicine › Surgery › Enhanced Recovery After Surgery
  • Health Sciences › Medicine › Anesthesiology and Pain Medicine › Airway Management and Intubation Techniques
  • Health Sciences › Medicine › Anesthesiology and Pain Medicine › Anesthesia and Sedative Agents
Keywords
semaglutide, GLP-1 receptor agonists, gastric regurgitation, pulmonary aspiration, general anesthesia, preoperative fasting, anti-obesity drugs, perioperative care
MeSH terms
Glucagon-Like Peptide-1 Receptor, Glucagon-Like Peptide-1 Receptor Agonists, Semaglutide, Anesthesia, General, Diabetes Mellitus, Type 2, Fasting, Humans, Hypoglycemic Agents, Weight Loss, Glucagon-Like Peptide 1

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