Residual Gastric Content and Perioperative Semaglutide Use Assessed by Gastric Ultrasound: A Prospective Observational Study - databank
Description
In this prospective observational study, 240 patients were grouped according to whether they had received preoperative once-weekly subcutaneous semaglutide within 10 days of the procedure (semaglutide group), and those not exposed to semaglutide (non-semaglutide group). On the day of surgery, all patients underwent preoperative gastric point-of-care ultrasound to evaluate their residual gastric content.
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SEX - M (MASCULINE); F(FEMININE); RESULTS: SOLID: 0 - NO; YES -1 GROUP: SEMAGLUTIDE: 0; NO SEMAGLUTIDE USE: 1 RESIDUAL GASTRIC CONTENT: YES - 1; NO - 0. DIABETES MELLITUS (CM) NO - 0; YES - 1. Data normality distribution was assessed using the normal quantile–quantile plot and summarized categorical variables using counts and percentages, while continuous variables were represented by medians with interquartile ranges (IQRs) due to nonparametric distributions. Pearson chi-squared test was employed for categorical variables. If the expected frequencies were too low (more than 20% of the cells had an expected count less than five), Fisher's exact tests were conducted instead. We tested continuous variables using the Mann–Whitney U test. The crude analysis was performed by logistic regression, and odds ratio (OR) with 95% confidence intervals (CIs) were used to show the effect size of a comparison. For adjusting between-group differences, propensity scores (PS) were developed to reflect the probability of each patient receiving semaglutide. A logistic regression model was used to create the PS, modelling the probability of treatment (e.g., SG vs NSG) on the following covariates: age, sex, BMI, diabetes mellitus, and ASA-PS. Absolute standardized differences were calculated to assess the presence of residual differences in measured covariates following cohort weighting. When this standardized difference was < 0.1, we considered the groups to be balanced on the covariate. The inverse of the PS was used to weight the patient cohort for the SG group and 1/(1-PS) for the NSG group, thus the term Inverse Probability Treatment Weighting (IPTW). Data were then adjusted with IPTW, based on the propensity score. Marginal effects were used to measure the impact of time since the last dose of semaglutide on the occurrence of increased RGC. After fitting the adjusted logistic regression model, we estimated the marginal effect estimate for the association of each additional day of medication discontinuation. R software version 3.4.4 (R Foundation for Statistical Computing, Austria) was used for all analyses.