Literature DB >> 31410712

Authors' Response to Drs. Ece Salihoglu and Ziya Salihoglu's Letter to the Editor.

Sophie E Morton1, Jennifer L Knopp2, J Geoffrey Chase2, Knut Möller3, Paul Docherty2, Geoffrey M Shaw4, Merryn Tawhai5.   

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Year:  2019        PMID: 31410712      PMCID: PMC7223520          DOI: 10.1007/s10439-019-02339-5

Source DB:  PubMed          Journal:  Ann Biomed Eng        ISSN: 0090-6964            Impact factor:   3.934


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To the Editor, We would like to thank Drs. Ece Salihoglu and Ziya Salihoglu for their interest in our article.2 While not directly addressed in the paper, the CURE clinical study data used in this paper considers patient gas concentration alongside both ventilator pressure and volume. The four CURE pilot trial patients had FiO2 set to 40, 40, 55 and 65 with PaO2 measurements of 71, 84, 60 and 101 mmHg, respectively. The McREM trial data used for validation did not provide specific oxygenation results.3 However, each patient’s initial P/F ratio is provided in Table 1 of the paper, and indicates FiO2 varied in typical ranges.3 The model presented in our paper was designed for use in an upcoming clinical trial that aims to optimise mechanical ventilation care.1,4 The trial uses two steps to optimise oxygenation. Step 1 optimises alveolar recruitment by titrating PEEP to the point of minimum elastance. The model thus safely maximises oxygenation via mechanics without adjusting FiO2. Step 2 uses this foundation to titrate FiO2 to achieve patient SpO2 levels within 92-95%. This process minimises the risk of excessively high oxygen levels, so the broad range of patients with respiratory failure can be optimally treated dependent on their specific condition and response to ventilation. Thank you again for your time and interest.
  4 in total

1.  Dynamic versus static respiratory mechanics in acute lung injury and acute respiratory distress syndrome.

Authors:  Claudius A Stahl; Knut Möller; Stefan Schumann; Ralf Kuhlen; Michael Sydow; Christian Putensen; Josef Guttmann
Journal:  Crit Care Med       Date:  2006-08       Impact factor: 7.598

2.  Predictive Virtual Patient Modelling of Mechanical Ventilation: Impact of Recruitment Function.

Authors:  Sophie E Morton; Jennifer L Knopp; J Geoffrey Chase; Knut Möller; Paul Docherty; Geoffrey M Shaw; Merryn Tawhai
Journal:  Ann Biomed Eng       Date:  2019-03-29       Impact factor: 3.934

3.  Effective sample size estimation for a mechanical ventilation trial through Monte-Carlo simulation: Length of mechanical ventilation and Ventilator Free Days.

Authors:  S E Morton; Y S Chiew; C Pretty; E Moltchanova; C Scarrott; D Redmond; G M Shaw; J G Chase
Journal:  Math Biosci       Date:  2016-06-11       Impact factor: 2.144

4.  The Clinical Utilisation of Respiratory Elastance Software (CURE Soft): a bedside software for real-time respiratory mechanics monitoring and mechanical ventilation management.

Authors:  Akos Szlavecz; Yeong Shiong Chiew; Daniel Redmond; Alex Beatson; Daniel Glassenbury; Simon Corbett; Vincent Major; Christopher Pretty; Geoffrey M Shaw; Balazs Benyo; Thomas Desaive; J Geoffrey Chase
Journal:  Biomed Eng Online       Date:  2014-09-30       Impact factor: 2.819

  4 in total

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