Inter-reflux and bolus clearance times in non-pathologic pediatric patients: data support computational models

Area of Science:

• Pediatric Gastroenterology
• Computational Biology
• Biostatistics

Background:

• Gastroesophageal reflux (GER) modeling is crucial for pediatric research.
• Previous work suggested a Poisson process for GER, but empirical pediatric data is limited.

Purpose of the Study:

• To validate the Poisson process model for inter-reflux time in pediatric patients.
• To assess the distribution of bolus clearance time in pediatric GER.
• To support the broad use of computational models in pediatric reflux research.

Main Methods:

• Retrospective review of 63 pediatric patients undergoing 24-hour impedance-pH monitoring.
• Analysis of reflux episode timing and bolus clearance time.
• Testing inter-reflux time against gamma, exponential, and inverse Gaussian distributions.
• Testing bolus clearance time against a normal distribution.
• Statistical analysis including maximum likelihood estimation, Kolmogorov-Smirnov test, Kullback-Leibler divergence, and ANOVA.

Main Results:

• Exponential fitting for inter-reflux time was successful in 90.48% of children over 1 year old.
• The overall reflux rate was 57.58 episodes/day.
• Mean bolus clearance time ranged from 10.87 (preterm) to 12.05 (children), with good Gaussian fitting.
• Inter-reflux time follows a Poisson process in non-tube-fed patients.
• Bolus clearance time follows a normal distribution in all pediatric cases.

Conclusions:

• The time between reflux episodes in pediatric patients can be modeled using a Poisson process.
• Bolus clearance time in pediatric gastroesophageal reflux consistently follows a normal distribution.
• These findings support the use of computational models for pediatric GER research.