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Professor Geoff Shaw

Geoffrey ShawClinical Professor

MB ChB FANZCA FCICM Hon FIPENZ

Email geoff.shaw@cdhb.govt.nz

Geoff is an intensive care specialist and Professor of Intensive Care at the University of Otago, Christchurch and an Adjunct Professor in the Department of Mechanical Engineering, University of Canterbury.

He is also the first clinician to be made an honorary fellow of the Institute of Professional Engineers of New Zealand.

Research Interests

Include:

  • Modelling and control of agitation-sedation
  • Insulin-glucose dynamics
  • Cardiovascular dynamics
  • Acute respiratory distress syndrome (ARDS) in critically ill patients

Other interests

Include:

  • Arguing why evidence based medicine might be bad for you
  • Building sundials
  • Cosmology

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Publications

Balmer, J., Pretty, C. G., Davidson, S., Mehta-Wilson, T., Desaive, T., Smith, R., Shaw, G. M., & Chase, J. G. (2020). Clinically applicable model-based method, for physiologically accurate flow waveform and stroke volume estimation. Computer Methods & Programs in Biomedicine, 185, 105125. doi: 10.1016/j.cmpb.2019.105125

Howe, S. L., Chase, J. G., Redmond, D. P., Morton, S. E., Kim, K. T., Shaw, G. M., … Desaive, T. (2020). Inspiratory respiratory mechanics estimation by using expiratory data for reverse-trigger breathing cycles. Computer Methods & Programs in Biomedicine, 186, 105184. doi: 10.1016/j.cmpb.2019.105184

Uyttendaele, V., Knopp, J. L., Davidson, S., Desaive, T., Benyo, B., Shaw, G. M., & Chase, J. G. (2019). 3D kernel-density stochastic model for more personalized glycaemic control: Development and in-silico validation. BioMedical Engineering OnLine, 18, 102. doi: 10.1186/s12938-019-0720-8

Morton, S. E., Knopp, J. L., Chase, J. G., Möller, K., Docherty, P., Shaw, G. M., & Tawhai, M. (2019). Predictive virtual patient modelling of mechanical ventilation: Impact of recruitment function. Annals of Biomedical Engineering, 47(7), 1626-1641. doi: 10.1007/s10439-019-02253-w

Carr, A. C., Spencer, E., Hoskin, T. S., Rosengrave, P., Kettle, A. J., & Shaw, G. (2019). Circulating myeloperoxidase is elevated in septic shock and is associated with systemic organ failure and mortality in critically ill patients. Free Radical Biology & Medicine. Advance online publication. doi: 10.1016/j.freeradbiomed.2019.11.004

Chapter in Book - Research

Chase, J. G., Benyo, B., Desaive, T., Fisk, L., Dickson, J. L., Penning, S., … Shaw, G. M. (2013). Uncertainty, safety, and performance: A generalizable approach to risk- based (therapeutic) decision making. In A. Agah (Ed.), Medical applications of artificial intelligence. (pp. 233-246). Boca Raton, FL: CRC Press.

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Chapter in Book - Other

Shaw, G. M. (2000). High frequency ventilation: The quest to minimise lung injury. In Australasian Anaesthesia. (pp. 181-190). Australian and New Zealand College of Anaesthetists.

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Journal - Research Article

Balmer, J., Pretty, C. G., Davidson, S., Mehta-Wilson, T., Desaive, T., Smith, R., Shaw, G. M., & Chase, J. G. (2020). Clinically applicable model-based method, for physiologically accurate flow waveform and stroke volume estimation. Computer Methods & Programs in Biomedicine, 185, 105125. doi: 10.1016/j.cmpb.2019.105125

Howe, S. L., Chase, J. G., Redmond, D. P., Morton, S. E., Kim, K. T., Shaw, G. M., … Desaive, T. (2020). Inspiratory respiratory mechanics estimation by using expiratory data for reverse-trigger breathing cycles. Computer Methods & Programs in Biomedicine, 186, 105184. doi: 10.1016/j.cmpb.2019.105184

Uyttendaele, V., Knopp, J. L., Davidson, S., Desaive, T., Benyo, B., Shaw, G. M., & Chase, J. G. (2019). 3D kernel-density stochastic model for more personalized glycaemic control: Development and in-silico validation. BioMedical Engineering OnLine, 18, 102. doi: 10.1186/s12938-019-0720-8

Carr, A. C., Spencer, E., Hoskin, T. S., Rosengrave, P., Kettle, A. J., & Shaw, G. (2019). Circulating myeloperoxidase is elevated in septic shock and is associated with systemic organ failure and mortality in critically ill patients. Free Radical Biology & Medicine. Advance online publication. doi: 10.1016/j.freeradbiomed.2019.11.004

Morton, S. E., Knopp, J. L., Chase, J. G., Möller, K., Docherty, P., Shaw, G. M., & Tawhai, M. (2019). Predictive virtual patient modelling of mechanical ventilation: Impact of recruitment function. Annals of Biomedical Engineering, 47(7), 1626-1641. doi: 10.1007/s10439-019-02253-w

Knopp, J. L., Lynn, A. M., Shaw, G. M., & Chase, J. G. (2019). Safe and effective glycaemic control in premature infants: Observational clinical results from the computerised STAR-GRYPHON protocol. Archives of Disease in Childhood: Fetal & Neonatal Edition, 104(2), F205-F211. doi: 10.1136/archdischild-2017-314072

Uyttendaele, V., Knopp, J. L., Shaw, G. M., Desaive, T., & Chase, J. G. (2019). Is intensive insulin therapy the scapegoat for or cause of hypoglycaemia and poor outcome. IFAC Journal of Systems and Control, 9, 100063. doi: 10.1016/j.ifacsc.2019.100063

Stewart, K. W., Pretty, C. G., Shaw, G. M., & Chase, J. G. (2018). Creating smooth SI. B-spline basis function representations of insulin sensitivity. Biomedical Signal Processing & Control, 44, 270-278. doi: 10.1016/j.bspc.2018.05.001

Morton, S. E., Dickson, J., Chase, J. G., Docherty, P., Desaive, T., Howe, S. L., Shaw, G. M., & Tawhai, M. (2018). A virtual patient model for mechanical ventilation. Computer Methods & Programs in Biomedicine, 165, 77-87. doi: 10.1016/j.cmpb.2018.08.004

Stewart, K. W., Chase, J. G., Pretty, C. G., & Shaw, G. M. (2018). Nutrition delivery of a model-based ICU glycaemic control system. Annals of Intensive Care, 8, 4. doi: 10.1186/s13613-017-0351-9

Balmer, J., Pretty, C., Davidson, S., Desaive, T., Kamoi, S., Pironet, A., … Shaw, G. M., & Chase, J. G. (2018). Pre-ejection period, the reason why the electrocardiogram Q-wave is an unreliable indicator of pulse wave initialization. Physiological Measurement, 39(9), 095005. doi: 10.1088/1361-6579/aada72

Stewart, K. W., Chase, J. G., Pretty, C. G., & Shaw, G. M. (2018). Nutrition delivery, workload and performance in a model-based ICU glycaemic control system. Computer Methods & Programs in Biomedicine, 166, 9-18. doi: 10.1016/j.cmpb.2018.09.005

Uyttendaele, V., Knopp, J. L., Stewart, K. W., Desaive, T., Benyó, B., Szabó-Némedi, N., … Shaw, G. M., & Chase, J. G. (2018). A 3D insulin sensitivity prediction model enables more patient-specific prediction and model-based glycaemic control. Biomedical Signal Processing & Control, 46, 192-200. doi: 10.1016/j.bspc.2018.05.032

Major, V. J., Chiew, Y. S., Shaw, G. M., & Chase, J. G. (2018). Biomedical engineer's guide to the clinical aspects of intensive care mechanical ventilation. BioMedical Engineering OnLine, 17, 169. doi: 10.1186/s12938-018-0599-9

Dickson, J. L., Stewart, K. W., Pretty, C. G., Flechet, M., Desaive, T., Penning, S., … Shaw, G. M., & Chase, J. G. (2018). Generalisability of a virtual trials method for glycaemic control in intensive care. IEEE Transactions on Biomedical Engineering, 65(7), 1543-1553. doi: 10.1109/TBME.2017.2686432

Stewart, K. W., Pretty, C. G., Shaw, G. M., & Chase, J. G. (2018). Interpretation of retrospective BG measurements. Journal of Diabetes Science & Technology, 12(5), 967-975. doi: 10.1177/1932296818786518

Chase, J. G., Preiser, J.-C., Dickson, J. L., Pironet, A., Chiew, Y. S., Pretty, C. G., Shaw, G. M., … Desaive, T. (2018). Next-generation, personallsed model-based critical care medicine: A state-of-the-art review of in silico virtual patient models, methods and cohorts, and how to validate them. BioMedical Engineering OnLine, 17, 24. doi: 10.1186/s12938-018-0455-y

Zhou, T., Dickson, J. L., Shaw, G. M., & Chase, J. G. (2018). Continuous glucose monitoring measures can be used for glycemic control in the ICU: An in-silico study. Journal of Diabetes Science & Technology, 12(1), 7-19. doi: 10.1177/1932296817738791

Morton, S. E., Chiew, Y. S., Pretty, C., Moltchanova, E., Scarrott, C., Redmond, D., Shaw, G. M., & Chase, J. G. (2017). Effective sample size estimation for a mechanical ventilation trial through Monte-Carlo simulation: Length of mechanical ventilation and ventilator free days. Mathematical Biosciences, 4, 21-31. doi: 10.1016/j.mbs.2016.06.001

Gaddam, R. R., Chambers, S., Murdoch, D., Shaw, G., & Bhatia, M. (2017). Circulating levels of hydrogen sulfide and substance P in patients with sepsis. Journal of Infection, 75(4), 293-300. doi: 10.1016/j.jinf.2017.07.005

Khan, M., Pretty, C. G., Amies, A. C., Balmer, J., Banna, H. E., Shaw, G. M., & Chase, J. G. (2017). Proof of concept non-invasive estimation of peripheral venous oxygen saturation. BioMedical Engineering OnLine, 16, 60. doi: 10.1186/s12938-017-0351-x

Carr, A. C., Rosengrave, P. C., Bayer, S., Chambers, S., Mehrtens, J., & Shaw, G. M. (2017). Hypovitaminosis C and vitamin C deficiency in critically ill patients despite recommended enteral and parenteral intakes. Critical Care, 21, 300. doi: 10.1186/s13054-017-1891-y

Dickson, J. L., Chase, J. G., Lynn, A., & Shaw, G. M. (2017). Model-based glycaemic control: Methodology and initial results from neonatal intensive care. Biomedical Engineering/Biomedizinische Technik, 62(2), 225-233. doi: 10.1515/bmt-2016-0051

Khan, M., Pretty, C. G., Amies, A. C., Elliott, R., Chiew, Y. S., Shaw, G. M., & Chase, J. G. (2016). Analysing the effects of cold, normal, and warm digits on transmittance pulse oximetry. Biomedical Signal Processing & Control, 26, 34-41. doi: 10.1016/j.bspc.2015.12.006

Kelly, H. E., Shaw, G. M., Brett, C. N., Greenwood, F. M., & Huckabee, M. L. (2016). The effect of titrated fentanyl on suppressed cough reflex in healthy adult volunteers. Anaesthesia, 71, 529-534. doi: 10.1111/anae.13410

Stewart, K. W., Pretty, C. G., Tomlinson, H., Thomas, F. L., Homlok, J., Némedi Noémi, S., … Shaw, G. M., … Chase, J. G. (2016). Safety, efficacy and clinical generalization of the STAR protocol: A retrospective analysis. Annals of Intensive Care, 6, 24. doi: 10.1186/s13613-016-0125-9

Lindsay, A., Bernard, A., Davidson, S. M., Redmond, D. P., Chiew, Y. S., Pretty, C., … Shaw, G. M., Gieseg, S. P., & Draper, N. (2016). Lung injury and respiratory mechanics in rugby union. Journal of Sports Medicine & Physical Fitness, 56(4), 450-457.

Penning, S., Pretty, C., Preiser, J.-C., Shaw, G. M., Desaive, T., & Chase, J. G. (2015). Glucose control positively influences patient outcome: A retrospective study. Journal of Critical Care, 30, 455-459. doi: 10.1016/j.jcrc.2014.12.013

Carr, A. C., Shaw, G. M., Fowler, A. A., & Natarajan, R. (2015). Ascorbate-dependent vasopressor synthesis: A rationale for vitamin C administration in severe sepsis and septic shock? Critical Care, 19, 418. doi: 10.1186/s13054-015-1131-2

Young, P., Saxena, M., Bellomo, R., Freebairn, R., Hammond, N., van Haren, F., … Henderson, S., … Weatherall, M., … Beasley, R., for the HEAT Investigators, and the Australian and New Zealand Intensive Care Society Clinical Trials Group, including Shaw, G., Bailey, M., & Psirides, A. (2015). Acetaminophen for fever in critically ill patients with suspected infection. New England Journal of Medicine, 373, 2215-2224. doi: 10.1056/NEJMoa1508375

Chiew, Y. S., Pretty, C., Docherty, P. D., Lambermont, B., Shaw, G. M., Desaive, T., & Chase, J. G. (2015). Time-varying respiratory system elastance: A physiological model for patients who are spontaneously breathing. PLoS ONE, 10(1), e0114847. doi: 10.1371/journal.pone.0114847

Stewart, K. W., Pretty, C. G., Tomlinson, H., Fisk, L., Shaw, G. M., & Chase, J. G. (2015). Stochastic Model Predictive (STOMP) glycaemic control for the intensive care unit: Development and virtual trial validation. Biomedical Signal Processing & Control, 16, 61-67. doi: 10.1016/j.bspc.2014.09.011

Redmond, D., Chiew, Y. S., van Drunen, E., Shaw, G. M., & Chase, J. G. (2014). A minimal algorithm for a minimal recruitment model—model estimation of alveoli opening pressure of an acute respiratory distress syndrome (ARDS) lung. Biomedical Signal Processing & Control, 14, 1-8. doi: 10.1016/j.bspc.2014.05.006

Szlavecz, A., Chiew, Y. S., Redmond, D., Beatson, A., Glassenbury, D., Corbett, S., … Shaw, G. M., … Chase, J. G. (2014). The Clinical Utilisation of Respiratory Elastance Software (CURE Soft): A bedside software for real-time respiratory mechanics monitoring and mechanical ventilation management. BioMedical Engineering OnLine, 13, 140. doi: 10.1186/1475-925X-13-140

Pretty, C. G., Le Compte, A., Penning, S., Fisk, L., Shaw, G. M., Desaive, T., & Chase, J. G. (2014). Interstitial insulin kinetic parameters for a 2-compartment insulin model with saturable clearance. Computer Methods & Programs in Biomedicine, 114(3), e39-e45. doi: 10.1016/j.cmpb.2014.01.011

Thomas, F., Pretty, C. G., Fisk, L., Shaw, G. M., Chase, J. G., & Desaive, T. (2014). Reducing the impact of insulin sensitivity variability on glycaemic outcomes using separate stochastic models within the STAR glycaemic protocol. BioMedical Engineering OnLine, 13, 43. doi: 10.1186/1475-925X-13-43

Kamoi, S., Pretty, C., Docherty, P., Squire, D., Revie, J., Chiew, Y. S., … Shaw, G. M., & Chase, J. G. (2014). Continuous stroke volume estimation from aortic pressure using zero dimensional cardiovascular model: Proof of concept study from porcine experiments. PLoS ONE, 9(7), e102476. doi: 10.1371/journal.pone.0102476

Sah Pri, A., Chase, J. G., Pretty, C. G., Shaw, G. M., Preiser, J.-C., Vincent, J.-L., … Desaive, T. (2014). Evolution of insulin sensitivity and its variability in out-of-hospital cardiac arrest (OHCA) patients treated with hypothermia. Critical Care, 18, 586. doi: 10.1186/s13054-014-0586-x

Pretty, C. G., Signal, M., Fisk, L., Penning, S., Le Compte, A., Shaw, G. M., … Chase, J. G. (2014). Impact of sensor and measurement timing errors on model-based insulin sensitivity. Computer Methods & Programs in Biomedicine, 114(3), e79-e86. doi: 10.1016/j.cmpb.2013.08.007

Thomas, F., Signal, M., Harris, D. L., Weston, P. J., Harding, J. E., Shaw, G. M., … on behalf of the CHYLD Study Group. (2014). Continuous glucose monitoring in newborn infants: How do errors in calibration measurements affect detected hypoglycemia? Journal of Diabetes Science & Technology, 8(3), 543-550. doi: 10.1177/1932296814524857

Ralib, A. M., Pickering, J. W., Shaw, G. M., Than, M. P., George, P. M., & Endre, Z. H. (2014). The clinical utility window for acute kidney injury biomarkers in the critically ill. Critical Care, 18, 601. doi: 10.1186/s13054-014-0601-2

van Drunen, E. J., Chiew, Y. S., Pretty, C., Shaw, G. M., Lambermont, B., Janssen, N., … Desaive, T. (2014). Visualisation of time-varying respiratory system elastance in experimental ARDS animal models. BMC Pulmonary Medicine, 14, 33. doi: 10.1186/1471-2466-14-33

Desaive, T., Lambermont, B., Janssen, N., Ghuysen, A., Kolh, P., Morimont, P., … Shaw, G. M., & Chase, J. G. (2013). Assessment of ventricular contractility and ventricular-arterial coupling with a model-based sensor. Computer Methods & Programs in Biomedicine, 109(2), 182-189. doi: 10.1016/j.cmpb.2011.11.009

Willis, J. G., Fisk, L., Razak, N., Le Compte, A., Shaw, G. M., & Chase, J. G. (2013). Insulin Glargine in the intensive care unit: A model-based clinical trial design. Biomedical Signal Processing & Control, 8(2), 120-129. doi: 10.1016/j.bspc.2012.09.004

Dickson, J. L., Hewett, J. N., Gunn, C. A., Lynn, A., Shaw, G. M., & Chase, J. G. (2013). On the problem of patient-specific endogenous glucose production in neonates on stochastic targeted glycemic control. Journal of Diabetes Science & Technology, 7(4), 913-927. doi: 10.1177/193229681300700414

Revie, J. A., Stevenson, D. J., Chase, J. G., Hann, C. E., Lambermont, B. C., Ghuysen, A., … Shaw, G. M., … Desaive, T. (2013). Validation of subject-specific cardiovascular system models from porcine measurements. Computer Methods & Programs in Biomedicine, 109(2), 197-210. doi: 10.1016/j.cmpb.2011.10.013

Revie, J. A., Stevenson, D., Chase, J. G., Pretty, C. J., Lambermont, B. C., Ghuysen, A., … Shaw, G. M., & Desaive, T. (2013). Evaluation of a model-based hemodynamic monitoring method in a porcine study of septic shock. Computational & Mathematical Methods in Medicine, 2013, 505417. doi: 10.1155/2013/505417

Ferenci, T., Benyó, B., Kovács, L., Fisk, L., Shaw, G. M., & Chase, J. G. (2013). Daily evolution of insulin sensitivity variability with respect to diagnosis in the critically ill. PLoS ONE, 8(2), e57119. doi: 10.1371/journal.pone.0057119

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