Literature DB >> 9861113

A physiology simulator: validation of its respiratory components and its ability to predict the patient's response to changes in mechanical ventilation.

J G Hardman1, N M Bedforth, A B Ahmed, R P Mahajan, A R Aitkenhead.   

Abstract

We aimed to validate the mathematical validity and accuracy of the respiratory components of the Nottingham Physiology Simulator (NPS), a computer simulation of physiological models. Subsequently, we aimed to assess the accuracy of the NPS in predicting the effects of a change in mechanical ventilation on patient arterial blood-gas tensions. The NPS was supplied with the following measured or calculated values from patients receiving intensive therapy: pulmonary shunt and physiological deadspace fractions, oxygen consumption, respiratory quotient, cardiac output, inspired oxygen fraction, expired minute volume, haemoglobin concentration, temperature and arterial base excess. Values calculated by the NPS for arterial oxygen tension and saturation (PaO2 and SaO2), mixed venous oxygen tension and saturation (PvO2 and SvO2), arterial and mixed venous carbon dioxide tension (PaCO2 and PvCO2) and arterial pH were accurate compared with measured values. Subsequently, arterial gas responses to changes in minute volume of FiO2 were measured in 31 patients and were compared with the NPS prediction for each response. The 95% limits of agreement in predicting the magnitude of change were: arterial oxygen tension -2.07 to 2.47 kPa; PaCO2 -0.33 to 0.67 kPa; and pH -0.023 to 0.033. This investigation has validated respiratory components of the NPS. We recommend the NPS as a clinical tool for predicting the effects of alterations in mechanical ventilation in stable patients in the intensive care unit.

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Year:  1998        PMID: 9861113     DOI: 10.1093/bja/81.3.327

Source DB:  PubMed          Journal:  Br J Anaesth        ISSN: 0007-0912            Impact factor:   9.166


  17 in total

1.  A systems engineering approach to validation of a pulmonary physiology simulator for clinical applications.

Authors:  A Das; Z Gao; P P Menon; J G Hardman; D G Bates
Journal:  J R Soc Interface       Date:  2010-06-10       Impact factor: 4.118

2.  Effect of oxygen fraction on airway rescue: a computational modelling study.

Authors:  Marianna Laviola; Christian Niklas; Anup Das; Declan G Bates; Jonathan G Hardman
Journal:  Br J Anaesth       Date:  2020-01-31       Impact factor: 9.166

3.  Effect of variable pre-oxygenation endpoints on safe apnoea time using high flow nasal oxygen for women in labour: a modelling investigation.

Authors:  Daniel Stolady; Marianna Laviola; Arani Pillai; Jonathan G Hardman
Journal:  Br J Anaesth       Date:  2021-02-03       Impact factor: 9.166

4.  Evaluation of the physiological properties of ventilatory ratio in a computational cardiopulmonary model and its clinical application in an acute respiratory distress syndrome population.

Authors:  P Sinha; S Singh; J G Hardman; A D Bersten; N Soni
Journal:  Br J Anaesth       Date:  2013-09-25       Impact factor: 11.719

5.  Ventilation strategies for front of neck airway rescue: an in silico study.

Authors:  Marianna Laviola; Christian Niklas; Anup Das; Declan G Bates; Jonathan G Hardman
Journal:  Br J Anaesth       Date:  2021-03-03       Impact factor: 11.719

6.  High PEEP in acute respiratory distress syndrome: quantitative evaluation between improved arterial oxygenation and decreased oxygen delivery.

Authors:  M Chikhani; A Das; M Haque; W Wang; D G Bates; J G Hardman
Journal:  Br J Anaesth       Date:  2016-11       Impact factor: 9.166

7.  Simulations for mechanical ventilation in children: review and future prospects.

Authors:  Olivier Flechelles; Annie Ho; Patrice Hernert; Guillaume Emeriaud; Nesrine Zaglam; Farida Cheriet; Philippe A Jouvet
Journal:  Crit Care Res Pract       Date:  2013-03-07

8.  Validation and application of a high-fidelity, computational model of acute respiratory distress syndrome to the examination of the indices of oxygenation at constant lung-state.

Authors:  R A McCahon; M O Columb; R P Mahajan; J G Hardman
Journal:  Br J Anaesth       Date:  2008-06-20       Impact factor: 11.719

9.  Can computer simulators accurately represent the pathophysiology of individual COPD patients?

Authors:  Wenfei Wang; Anup Das; Tayyba Ali; Oanna Cole; Marc Chikhani; Mainul Haque; Jonathan G Hardman; Declan G Bates
Journal:  Intensive Care Med Exp       Date:  2014-09-20

10.  Computational simulation indicates that moderately high-frequency ventilation can allow safe reduction of tidal volumes and airway pressures in ARDS patients.

Authors:  Wenfei Wang; Anup Das; Oanna Cole; Marc Chikhani; Jonathan G Hardman; Declan G Bates
Journal:  Intensive Care Med Exp       Date:  2015-12-10
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