Predictor of slower gastric emptying in gastroesophageal reflux disease: Survey of an Asian-Pacific cohort

A machine learning stacking model accurately estimating gastric fluid volume in patients undergoing elective sedated gastrointestinal endoscopy

BACKGROUND

The current point-of-care ultrasound (POCUS) assessment of gastric fluid volume primarily relies on the traditional linear approach, which often suffers from moderate accuracy. This study aimed to develop an advanced machine learning (ML) model to estimate gastric fluid volume more accurately.

METHODS

We retrospectively analyzed the clinical data and POCUS data (D1: craniocaudal diameter, D2: anteroposterior diameter) of 1386 patients undergoing elective sedated gastrointestinal endoscopy (GIE) at Nanjing First Hospital to predict gastric fluid volume using ML techniques, including six different ML models and a stacking model. We evaluated the models using the adjusted Coefficient of Determination (R2), mean absolute error (MAE) and root mean square error (RMSE). The SHapley Additive exPlanations (SHAP) method was used to interpret the importance of the variables. Finally, a web calculator was constructed to facilitate its clinical application.

RESULTS

The stacking model (Linear regression + Multilayer perceptron) performed best, with the highest adjusted R2 of 0.718 (0.632 to 0.804). The mean prediction bias was 4 ml (MAE: 4.008 (3.68 to 4.336)), which is better than that of the linear model. D1 and D2 ranked high in the SHAP plot and performed better in the right lateral decubitus (RLD) than in the supine position. The web calculator can be accessed at https://cheason.shinyapps.io/Stacking_regressor/.

CONCLUSION

The stacking model and its web calculator can serve as practical tools for accurately estimating gastric fluid volume in patients undergoing elective sedated GIE. It is recommended that anesthesiologists measure D1 and D2 in the patient's RLD position.

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.

Gastric Emptying is Accelerated in Patients With Gastric Tube Reconstruction Following Laparoscopic Proximal Gastrectomy

BACKGROUND

Laparoscopic proximal gastrectomy (LPG) is an attractive option for the treatment of early gastric cancer in the upper third of the stomach. No optimal method of reconstruction after LPG has been established because of problems associated with postoperative reflux. Gastric tube reconstruction, a type of esophagogastrostomy, is a simple procedure, but it is associated with a high frequency of reflux esophagitis (RE). We investigated the relationship between RE and gastric emptying, along with nutritional parameters.

SUBJECTS AND METHODS

We compared gastric emptying in patients who had undergone curative LPG with gastric tube reconstruction for gastric cancer with that of patients after total gastrectomy (TG), distal gastrectomy (DG) and of healthy volunteers and patients after DG. The LPG group was divided into an RE LPG-RE (+) group and a non-reflux esophagitis (non-RE) an LPG-RE (-) group, and we compared gastric emptying and indices of nutrition, such as body weight and laboratory findings, between those among LPG-RE (+), LPG-RE (-), and TG groups.

RESULTS

The time lag between ingestion and peak 13 CO 2 expiration (T lag) in the healthy volunteer group was significantly shorter in the LPG group longer than those in the healthy volunteer LPG group and TG group. The T lag was significantly shorter in the RE LPG-RE (+) group than in the non-RE LPG-RE (-) group. The percentage change in body weight percentage in the non-RE LPG-RE (-) group was significantly larger than that in the RE LPG-RE (+) group at 12 months after surgery. Both the serum albumin and hemoglobin levels in the non-RE LPG-RE (-) tended to be preserved compared with those in the RE LPG-RE (+) group and TG group.

CONCLUSIONS

Gastric emptying was accelerated after LPG, and was associated with RE. Our data suggest that RE could be associated with body weight loss after LPG.

Prevalence and risk factors for gastroesophageal reflux disease in the Indian population: A meta-analysis and meta-regression study

BACKGROUND

Indian population-based studies on the prevalence and risk factors for gastroesophageal reflux disease (GERD) are scanty, and a meta-analysis and a meta-regression of prevalence and risk factors based on the existing data have not yet been reported.

METHODS

A systematic review of all the available publications from India reporting data regarding prevalence and risk factors of GERD was performed. Heterogeneity was assessed using I² statistics. The meta-analysis was undertaken to measure the average proportion reported in the existing studies, and meta-regression models were used to explore the risk factors for it.

RESULTS

The nine studies included 20,614 subjects; the prevalence of GERD ranged from 5% to 28.5%. The summary effect size (weighted average proportion) estimated by meta-analytic model was 0.1415 (95% confidence interval [CI] 0.099 to 0.197). The results for the test of heterogeneity that included tau² (0.37, 95% CI 0.21 to 1.80), I² (98.9%, 95% CI 98.01 to 99.77), and the Q-statistic (707.670; p < 0.0001) suggested high heterogeneity in the effect sizes. The pooled proportion of GERD (random-effects model) was 15.573 (95% CI 11.046 to 20.714). In the meta-regression model, sample size (p = 0.005) explained about 50% of the heterogeneity.

CONCLUSION

The pooled prevalence of GERD in the Indian population is 15.6 (95% CI 11.046 to 20.714). The risk factors were age, body mass index (BMI), non-vegetarian diet, tea/coffee intake, tobacco, and alcohol consumption. However, there was significant heterogeneity in the studies.

Effects of Lixisenatide Versus Liraglutide (Short- and Long-Acting GLP-1 Receptor Agonists) on Esophageal and Gastric Function in Patients With Type 2 Diabetes

OBJECTIVE

Short-acting glucagon-like peptide 1 receptor agonists (GLP-1 RAs) decelerate gastric emptying more than long-acting GLP-1 RAs. Delayed gastric emptying is a risk factor for gastroesophageal reflux disease. We aimed to measure esophageal reflux and function as well as gastric emptying and acid secretion during treatment with short-acting (lixisenatide) and long-acting (liraglutide) GLP-1 RAs.

RESEARCH DESIGN AND METHODS

A total of 57 subjects with type 2 diabetes were randomized to a 10-week treatment with lixisenatide or liraglutide. Changes from baseline in the number of reflux episodes during 24-h pH registration in the lower esophagus, lower esophagus sphincter pressure, gastric emptying (¹³C-sodium octanoate acid breath test), and gastric acid secretion (¹³C-calcium carbonate breath test) were analyzed.

RESULTS

Gastric emptying half-time was delayed by 52 min (Δ 95% CI 16, 88) with lixisenatide (P = 0.0065) and by 25 min (3, 46) with liraglutide (P = 0.025). There was no difference in the number of reflux episodes (mean ± SEM 33.7 ± 4.1 vs. 40.1 ± 5.3 for lixisenatide and liraglutide, respectively, P = 0.17) or the extent of gastroesophageal reflux (DeMeester score) (35.1 ± 6.7 vs. 39.7 ± 7.5, P = 0.61), with similar results for the individual GLP-1 RAs. No significant changes from baseline in other parameters of esophageal motility and lower esophageal sphincter function were observed. Gastric acidity decreased significantly by -20.7% (-40.6, -0.8) (P = 0.042) with the GLP-1 RAs.

CONCLUSIONS

Lixisenatide exerted a more pronounced influence on gastric emptying after breakfast than liraglutide. Neither lixisenatide nor liraglutide had significant effects on esophageal reflux or motility. Gastric acid secretion appears to be slightly reduced by GLP-1 RAs.