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Software for symptom association analysis in pediatric gastroesophageal reflux disease
Alejandro Barriga-Rivera1, Mar Elena, Maria Jose Moya
1Children's Hospital Virgen del Rocío, Seville, Spain.
Insights
A new open-source software tool analyzes gastroesophageal reflux (GER) and cardiorespiratory events in children. This tool aids in diagnosing GER disease by assessing symptom association, potentially reducing misdiagnoses and inappropriate treatments.
Area of Science:
- Pediatric Gastroenterology
- Medical Informatics
- Cardiology
Background:
- Gastroesophageal reflux (GER) disease can cause serious cardiorespiratory symptoms in pediatric patients.
- Diagnosing GER requires synchronized 24-h esophageal and cardiorespiratory monitoring.
- Current diagnostic methods lack dedicated computer tools for symptom association analysis.
Purpose of the Study:
- To present an open-source computer program for analyzing symptom association between GER and cardiorespiratory events.
- To provide a flexible and accessible tool for researchers and physicians.
- To facilitate early and accurate diagnosis of GER-related cardiorespiratory symptoms.
Main Methods:
- Development of an open-source software program.
- Implementation of synchronized esophageal and cardiorespiratory monitoring data analysis.
- Inclusion of key metrics: symptom index, symptom sensitivity index, and symptom association probability.
Main Results:
- The software allows convenient visualization of biological signals.
- It implements three main metrics for quantifying symptom association.
- Provides a flexible solution for assessing temporal links between GER and cardiorespiratory episodes.
Conclusions:
- The developed software facilitates the assessment of GER and cardiorespiratory symptom association in pediatric patients.
- This tool can help reduce inappropriate medical and surgical treatments.
- Enables earlier diagnosis of GER disease and associated complications.
Abstract:
Gastroesophageal reflux (GER) disease is a serious complication of the upper gastrointestinal tract. Cardiorespiratory symptoms such as apnea, oxygen desaturation and bradycardia may be related to GER. Thus, the recommended diagnostic methodology in pediatric patients requires 24-h synchronized esophageal and cardiorespiratory monitoring. However, there is no computer tool available for this purpose and therefore, researchers and physicians are forced to seek for customized solutions. This paper presents an open source computer program for the analysis of symptom association. It allows a convenient visualization of the biological signals and implements the three main metrics for symptom association, that is, the symptom index, the symptom sensitivity index and the symptom association probability. This software represents a flexible solution and will facilitate caregivers an easy assessment of the existence of temporal association between GER and cardiorespiratory episodes. This would ideally reduce inappropriate medical and surgical treatments and would provide an early diagnosis of the medical condition.
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