Literature DB >> 14633571

Validation of an original mathematical model of CO(2) elimination and dead space ventilation.

Jonathan G Hardman1, Alan R Aitkenhead.   

Abstract

UNLABELLED: We present an original, mathematical model of ventilation and gas-exchange. Our aim was to validate it using data from previous clinical investigations, allowing our use of it in future investigations. The first previous investigation used a low-dead space, double-lumen, tracheal tube (DLT). We matched the model's PaCO(2) and airway pressures (P(AW)) to the patient mean during use of the DLT and a single-lumen tube (SLT). The model's resulting PaCO(2), PECO(2) and P(AW) were compared with the patients' as tidal volume (VT) changed with constant minute volume. The second investigation examined dead space during anesthesia. The model's VT, respiratory rate, CO(2) production, temperature, and alveolar and anatomical dead spaces were matched to each mechanically ventilated subject. Bias and precision in predictions of PaCO(2) and PECO(2) were calculated. The model's bias in prediction of dead space reduction by the DLT was 6.9%. Bias in prediction of P(AW) was 0.1% (peak) and -5.13% (mean), of PaCO(2) was 1.2% (DLT) and 1.5% (SLT) and of PECO(2) was 1.7% (DLT) and 1.3% (SLT). Prediction of PaCO(2) and PECO(2) in the second investigation (as 95% confidence interval of bias): PaCO(2) -2.6% to 0.8% and PECO(2) -4.9% to 1.2%. This validation allows future application of our model in appropriate theoretical investigations. IMPLICATIONS: We present an original, mathematical model of ventilation and gas exchange. We validate it against previously published clinical data to allow its use in future theoretical investigations where data may be unavailable from patients.

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Year:  2003        PMID: 14633571     DOI: 10.1213/01.ane.0000090315.45491.72

Source DB:  PubMed          Journal:  Anesth Analg        ISSN: 0003-2999            Impact factor:   5.108


  5 in total

1.  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

2.  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

3.  Hemodynamic effects of lung recruitment maneuvers in acute respiratory distress syndrome.

Authors:  Anup Das; Mainul Haque; Marc Chikhani; Oana Cole; Wenfei Wang; Jonathan G Hardman; Declan G Bates
Journal:  BMC Pulm Med       Date:  2017-02-08       Impact factor: 3.317

4.  Validation of at-the-bedside formulae for estimating ventilator driving pressure during airway pressure release ventilation using computer simulation.

Authors:  Sonal Mistry; Anup Das; Sina Saffaran; Nadir Yehya; Timothy E Scott; Marc Chikhani; John G Laffey; Jonathan G Hardman; Luigi Camporota; Declan G Bates
Journal:  Respir Res       Date:  2022-04-26

5.  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

  5 in total

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