Simethicone and N-acetyl cysteine combination as premedication before esophagogastroduodenoscopy: Double-blind randomized controlled trial

Simethicone with or without N-acetylcysteine as premedication in esophagogastroduodenoscopy: a systematic review and meta-analysis

Background

The impairment of gastrointestinal mucosa visibility during esophagogastroduodenoscopy (EGD), due to the presence of foam and bubbles, may lead to reduced quality in the EGD results. The combination of simethicone, a defoaming agent, along with N-acetylcysteine (NAC), which has mucolytic properties, has been proposed to improve the visibility of the mucosa. This study aimed to evaluate the effectiveness of pre-procedural administration of simethicone and N-acetylcysteine in improving mucosal visibility, procedure time and mucosal cleansing volume needed during EGD.

Methods

We conducted a comprehensive literature search from inception to November 23, 2023, in PubMed, CENTRAL, ProQuest, SAGE, and JSTOR. We included randomized clinical trials that investigated the effects of simethicone with or without NAC as premedication in EGD. For the quantitative analysis, standardized mean difference (SMD) was used to assess continuous outcomes and risk ratio for dichotomous outcomes. The Cochrane risk of bias 2 tool was used to evaluate the risk of bias.

Results

This meta-analysis comprised a total of 20 studies and found that simethicone with or without NAC improved mucosal visibility compared with control (SMD -1.27, 95% confidence interval [CI] -1.74 to -0.81, P<0.001). The combination of simethicone and NAC was significantly better than simethicone alone (SMD -0.68, 95%CI -1.08 to -0.28, P=0.001). Simethicone with or without NAC also shortened the procedure time compared to control (MD -1.40, 95%CI -2.67 to -0.12, P=0.03). The risk of bias was low with a moderate grade of certainty.

Conclusion

The administration of simethicone with or without NAC may improve EGD quality.

Pre-medication with simethicone and N-acetyl cysteine for improving mucosal visibility during upper gastrointestinal endoscopy: A randomized controlled trial

BACKGROUND AND AIM

Diagnostic performance of esophagogastroduodenoscopy (EGD) may be compromized due to adherent mucus and foam. In this study, we aimed at assessing the impact of premedication on mucosal visibility during endoscopy.

METHODS

This is a double-blinded (patient and investigator), randomized trial conducted at a tertiary care centre. Patients were randomized into four groups: A (water), B (simethicone [S]), C (N-acetyl cysteine [NAC]), D (S + NAC). Premedication solutions were administered 10-30 minutes before endoscopy and mucosal visibility graded from 1 (best) to 4 (worst) (1 best, 4 worst). Total mucosal visibility scores (TMVS) from six sites ranged from 6 (best) to 24 (worst) points. The primary outcome of study was comparison of TMVS between simethicone and combination (S + NAC) premedication groups. Secondary outcomes were adverse events and impact of endoscopy timing on TMVS.

RESULTS

Total 800 patients (39 years, 68.8% males) were randomized into four groups. Median TMVS were significantly lower in groups B (7 [6-8]) and D (8 [6-9]) as compared to A (11 [9-13]) and C (10 [8-12]). Proportion of cases with adequate gastric mucosal visibility (score < 7) was 26% in group A, 71% in group B, 36% in group C and 79% in group D. There was no difference in TMVS in groups A and C (p = 0.137). TMVS were significantly lower in late (> 20-30 minutes) vs. early (10-20 minutes) endoscopy sub-group (8 [7-11] vs, 9 ([7-11], p = 0.001). However, TMVS were similar between group B and group D in early endoscopy group (p = 0.451). There was no significant difference in the lesion detection rate among the different premedication drugs (p > 0.05).

CONCLUSIONS

Premedication with simethicone or combination (simethicone and NAC) significantly improves mucosal visibility during EGD. If early endoscopy is indicated, simethicone provides similar mucosal visibility and may be an effective alternative to combined premedication.

TRIAL REGISTRATION

NCT05951712.

Optimal timing of simethicone administration prior to upper endoscopy: A multicenter, single-blind, randomized controlled trial

Background and study aims Simethicone is useful as premedication for upper endoscopy because of its antifoaming effects. We aimed to evaluate the effect of timing of simethicone administration on mucosal visibility. Patients and methods In this multicenter, randomized, endoscopist-blinded study, patients scheduled for upper endoscopy were randomized to receive 40 mg simethicone at the following time points prior to the procedure: 20 to 30 minutes (early group), 0 to 10 minutes (late group) or 20 mg simethicone at both time points (split-dose group). Images were taken from nine predefined locations in the esophagus, stomach, and duodenum before endoscopic flushing. Each image was scored on mucosal visibility by three independent endoscopists on a 4-point scale (lower scores indicating better visibility), with adequate mucosal visibility defined as a score ≤ 2. Primary outcome was the percentage of patients with adequate total mucosal visibility (TMV), reached if all median subscores for each location were ≤ 2. Results A total of 386 patients were included (early group: 132; late group: 128; split-dose group: 126). Percentages of adequate TMV were 55%, 42%, and 61% in the early, late, and split-dose group, respectively ( P < 0.01). Adequate TMV was significantly higher in the split-dose group compared to the late group ( P < 0.01), but not compared to the early group ( P = 0.29). Differences between groups were largest in the stomach, where percentages of adequate mucosal visibility were higher in the early (68% vs 53%, P = 0.03) and split-dose group (69% vs 53%, P = 0.02) compared to the late group. Conclusions Mucosal visibility can be optimized with early simethicone administration, either as a single administration or in a split-dose regimen.

Computer-Based Diagnosis of Celiac Disease by Quantitative Processing of Duodenal Endoscopy Images

Celiac disease (CD) is a lifelong chronic autoimmune systemic disease that primarily affects the small bowel of genetically susceptible individuals. The diagnostics of adult CD currently rely on specific serology and the histological assessment of duodenal mucosa on samples taken by upper digestive endoscopy. Because of several pitfalls associated with duodenal biopsy sampling and histopathology, and considering the pediatric no-biopsy diagnostic criteria, a biopsy-avoiding strategy has been proposed for adult CD diagnosis also. Several endoscopic changes have been reported in the duodenum of CD patients, as markers of villous atrophy (VA), with good correlation with serology. In this setting, an opportunity lies in the automated detection of these endoscopic markers, during routine endoscopy examinations, as potential case-finding of unsuspected CD. We collected duodenal endoscopy images from 18 CD newly diagnosed CD patients and 16 non-CD controls and applied machine learning (ML) and deep learning (DL) algorithms on image patches for the detection of VA. Using histology as standard, high diagnostic accuracy was seen for all algorithms tested, with the layered convolutional neural network (CNN) having the best performance, with 99.67% sensitivity and 98.07% positive predictive value. In this pilot study, we provide an accurate algorithm for automated detection of mucosal changes associated with VA in CD patients, compared to normally appearing non-atrophic mucosa in non-CD controls, using histology as a reference.

Computer-Based Diagnosis of Celiac Disease by Quantitative Processing of Duodenal Endoscopy Images

Celiac disease (CD) is a lifelong chronic autoimmune systemic disease that primarily affects the small bowel of genetically susceptible individuals. The diagnostics of adult CD currently rely on specific serology and the histological assessment of duodenal mucosa on samples taken by upper digestive endoscopy. Because of several pitfalls associated with duodenal biopsy sampling and histopathology, and considering the pediatric no-biopsy diagnostic criteria, a biopsy-avoiding strategy has been proposed for adult CD diagnosis also. Several endoscopic changes have been reported in the duodenum of CD patients, as markers of villous atrophy (VA), with good correlation with serology. In this setting, an opportunity lies in the automated detection of these endoscopic markers, during routine endoscopy examinations, as potential case-finding of unsuspected CD. We collected duodenal endoscopy images from 18 CD newly diagnosed CD patients and 16 non-CD controls and applied machine learning (ML) and deep learning (DL) algorithms on image patches for the detection of VA. Using histology as standard, high diagnostic accuracy was seen for all algorithms tested, with the layered convolutional neural network (CNN) having the best performance, with 99.67% sensitivity and 98.07% positive predictive value. In this pilot study, we provide an accurate algorithm for automated detection of mucosal changes associated with VA in CD patients, compared to normally appearing non-atrophic mucosa in non-CD controls, using histology as a reference.