Gastric food retention at endoscopy is associated with severity of liver cirrhosis

Development and validation of a novel nomogram model to assess the risk of gastric contents in outpatients undergoing elective sedative gastrointestinal endoscopy procedures

BACKGROUND

Gastric contents may contribute to patients' aspiration during anesthesia. Ultrasound can accurately assess the risk of gastric contents in patients undergoing sedative gastrointestinal endoscopy (GIE) procedures, but its efficiency is limited. Therefore, developing an accurate and efficient model to predict gastric contents in outpatients undergoing elective sedative GIE procedures is greatly desirable.

METHODS

This study retrospectively analyzed 1501 patients undergoing sedative GIE procedures. Gastric contents were observed under direct gastroscopic vision and suctioned through the endoscope. High-risk gastric contents were defined as having solid content or liquid volume > 25 ml and pH < 2.5; otherwise, they were considered low-risk gastric contents. Univariate analysis and multivariate analysis were used to select the independent risk factors to predict high-risk gastric contents. Based on the selected independent risk factors, we assigned values to each independent risk factor and established a novel nomogram. The performance of the nomogram was verified in the testing cohort by the metrics of discrimination, calibration, and clinical usefulness. In addition, an online accessible web calculator was constructed.

RESULTS

We found BMI, cerebral infarction, cirrhosis, male, age, diabetes, and gastroesophageal reflux disease were risk factors for gastric contents. The AUROCs were 0.911 and 0.864 in the development and testing cohort, respectively. Moreover, the nomogram showed good calibration ability. Decision curve analysis and Clinical impact curve demonstrated that the predictive nomogram was clinically useful. The website of the nomogram was https://medication.shinyapps.io/dynnomapp/.

CONCLUSIONS

This study demonstrates that clinical variables can be combined with algorithmic techniques to predict gastric contents in outpatients. Nomogram was constructed from routine variables, and the web calculator had excellent clinical applicability to assess the risk of gastric contents accurately and efficiently in outpatients, assist anesthesiologists in assessment and identify the most appropriate patients for ultrasound.

Impact of Glucagon-Like Peptide-1 Receptor Agonists (GLP-1RA) on Food Content During Esophagogastroduodenoscopy (EGD)

BACKGROUND

Glucagon-like peptide-1 receptor agonists (GLP-1RA) have delayed gastric emptying properties; however, the impact on esophagogastroduodenoscopy (EGD) visualization is unknown.

OBJECTIVE

This study examines the impact of GLP-1RA use on EGD visualization and gastric content retention.

METHODS

This was a retrospective cohort study with matched controls. The primary endpoint was the odds of retained food documented during EGD. Secondary endpoints included incidence of lavage and need for repeat EGD due to poor visualization and were compared using Fisher exact test. Analyses were performed in R Studio.

RESULTS

There were 59 patients in the cohort prescribed a GLP-1RA with 118 matched controls. Food retention was documented with 4 patients (6.8%) in the GLP-1RA cohort versus 2 patients (1.7%) in the control group (odds ratio [OR] 4.22 [95% CI 0.87-20.34]). No difference was observed in the need for lavage during EGD or in the need for repeat EGD attributed to poor visualization.

CONCLUSION AND RELEVANCE

This study addresses a previously uninvestigated question in clinical practice. GLP-1RA did not significantly increase odds of retained food on EGD. Although a numerical difference was observed, it did not reach statistical difference. No cases required repeat EGD due to poor visualization, and no change to EGD pre-procedure instructions were warranted at the study facility.