Evaluation of the SIMULRESP: A simulation software of child and teenager cardiorespiratory physiology

Author:

Brossier David12345ORCID,Flechelles Olivier6,Sauthier Michael17ORCID,Engert Catherine1,Chahir Youssef5,Emeriaud Guillaume17,Cheriet Farida18,Jouvet Philippe17,de Montigny Simon19

Affiliation:

1. CHU Sainte Justine Research Center Université de Montreal Montreal Canada

2. Pediatric Intensive Care Unit CHU de Caen Caen France

3. School of Medicine Université Caen Normandie Caen France

4. Université de Lille, ULR 2694‐METRICS: Évaluation des technologies de santé et des pratiques médicales Lille France

5. Université Caen Normandie, GREYC Caen France

6. Pediatric and Neonatal Intensive Care Unit CHU de Martinique Fort de France France

7. Pediatric Intensive Care Unit CHU Sainte Justine Montreal Canada

8. École Polytechnique de Montréal Montréal Canada

9. École de santé publique Université de Montréal Montréal Canada

Abstract

AbstractBackgroundMathematical models based on the physiology when programmed as a software can be used to teach cardiorespiratory physiology and to forecast the effect of various ventilatory support strategies. We developed a cardiorespiratory simulator for children called “SimulResp.” The purpose of this study was to evaluate the quality of SimulResp.MethodsSimulResp quality was evaluated on accuracy, robustness, repeatability, and reproducibility. Blood gas values (pH, PaCO2, PaO2, and SaO2) were simulated for several subjects with different characteristics and in different situations and compared to expected values available as reference. The correlation between reference and simulated data was evaluated by the coefficient of determination and Intraclass correlation coefficient. The agreement was evaluated with the Bland & Altman analysis.ResultsSimulResp produced healthy child physiological values within normal range (pH 7.40 ± 0.5; PaCO2 40 ± 5 mmHg; PaO2 90 ± 10 mmHg; SaO2 97 ± 3%) starting from a weight of 25−35 kg, regardless of ventilator support. SimulResp failed to simulate accurate values for subjects under 25 kg and/or affected with pulmonary disease and mechanically ventilated. Based on the repeatability was considered as excellent and the reproducibility as mild to good. SimulResp's prediction remains stable within time.ConclusionsThe cardiorespiratory simulator SimulResp requires further development before future integration into a clinical decision support system.

Funder

Société de Réanimation de Langue Française

Fonds de recherche du Québec – Nature et technologies

Publisher

Wiley

Subject

Pulmonary and Respiratory Medicine,Pediatrics, Perinatology and Child Health

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