Physiological modelling of agitation-sedation dynamics including endogenous agitation reduction.

Sedation administration and agitation management are fundamental activities in any intensive care unit. A lack of objective measures of agitation and sedation, as well as poor understanding of the underlying dynamics, contribute to inefficient outcomes and expensive healthcare. Recent models of agitation-sedation pharmacodynamics have enhanced understanding of the underlying dynamics and enable development of advanced protocols for semi-automated sedation administration. However, these initial models do not capture all observed dynamics, particularly periods of low sedative infusion. A physiologically representative model that incorporates endogenous agitation reduction (EAR) dynamics is presented and validated using data from 37 critical care patients. High median relative average normalised density (RAND) values of 0.77 and 0.78 support and minimum RAND values of 0.51 and 0.55 for models without and with EAR dynamics respectively show that both models are valid representations of the fundamental agitation-sedation dynamics present in a broad spectrum of intensive care unit (ICU) patients. While the addition of the EAR dynamic increases the ability of the model to capture the observed dynamics of the agitation-sedation system, the improvement is relatively small and the sensitivity of the model to the EAR dynamic is low. Although this may represent a limitation of the model, the inclusion of EAR is shown to be important for accurately capturing periods of low, or no, sedative infusion, such as during weaning prior to extubation.

[1]  J. Foss,et al.  Are Peripheral Opioid Antagonists the Solution to Opioid Side Effects? , 2004, Anesthesia and analgesia.

[2]  L. Christrup,et al.  Relationships among morphine metabolism, pain and side effects during long-term treatment: an update. , 2003, Journal of pain and symptom management.

[3]  J. Vender,et al.  Anxiety, delirium, and pain in the intensive care unit. , 2001, Critical care clinics.

[4]  J. Chase,et al.  Physiologically-based minimal model of agitation-sedation dynamics , 2004, The 26th Annual International Conference of the IEEE Engineering in Medicine and Biology Society.

[5]  R. Arbour Sedation and pain management in critically ill adults. , 2000, Critical care nurse.

[6]  S L Shafer,et al.  Response Surface Model for Anesthetic Drug Interactions , 2000, Anesthesiology.

[7]  Koch Sigmund Ed,et al.  Psychology: A Study of A Science , 1962 .

[8]  A. Somogyi,et al.  The disposition of morphine and its 3- and 6-glucuronide metabolites in humans and animals, and the importance of the metabolites to the pharmacological effects of morphine. , 1996, Drug metabolism reviews.

[9]  J. Geoffrey Chase,et al.  A new model validation tool using kernel regression and density estimation , 2005, Comput. Methods Programs Biomed..

[10]  A. Dahan,et al.  Pharmacokinetic-Pharmacodynamic Modeling of Morphine-6-glucuronide-induced Analgesia in Healthy Volunteers: Absence of Sex Differences , 2004, Anesthesiology.

[11]  L. Smith,et al.  The Pharmacokinetics of Midazolam in Chronic Renal Failure Patients , 1983, Anesthesiology.

[12]  Christina Starfinger,et al.  Quantifying agitation in sedated ICU patients using heart rate and blood pressure. , 2004, Physiological measurement.

[13]  A. Shafer Complications of sedation with midazolam in the intensive care unit and a comparison with other sedative regimens. , 1998, Critical care medicine.

[14]  S. T. Buckland,et al.  An Introduction to the Bootstrap. , 1994 .

[15]  G C Wake,et al.  Rethinking sedation and agitation management in critical illness. , 2003, Critical care and resuscitation : journal of the Australasian Academy of Critical Care Medicine.

[16]  R. Levine Pharmacology of intravenous sedatives and opioids in critically ill patients. , 1994, Critical care clinics.

[17]  C. T. French,et al.  Effects of a multifaceted, multidisciplinary, hospital-wide quality improvement program on weaning from mechanical ventilation , 2002, Critical care medicine.

[18]  Jörn Lötsch,et al.  Pharmacokinetic modeling to predict morphine and morphine‐6‐glucuronide plasma concentrations in healthy young volunteers , 2002, Clinical pharmacology and therapeutics.

[19]  G. Fraser,et al.  Monitoring sedation, agitation, analgesia, and delirium in critically ill adult patients. , 2001, Critical care clinics.

[20]  J. Reves,et al.  Sedation in the intensive care unit , 2000, Critical care medicine.

[21]  J Geoffrey Chase,et al.  Adaptive bolus-based targeted glucose regulation of hyperglycaemia in critical care. , 2005, Medical engineering & physics.

[22]  G. Wake,et al.  Modelling and control of the agitation-sedation cycle , 2003 .

[23]  R. Boulieu,et al.  Evaluation of the estimation of midazolam concentrations and pharmacokinetic parameters in intensive care patients using a bayesian pharmacokinetic software (PKS) according to sparse sampling approach , 2003, The Journal of pharmacy and pharmacology.

[24]  G Sherman,et al.  Effect of a nursing-implemented sedation protocol on the duration of mechanical ventilation. , 1999, Critical care medicine.

[25]  M Danhof,et al.  Characterization of the pharmacodynamic interaction between parent drug and active metabolite in vivo: midazolam and alpha-OH-midazolam. , 1999, The Journal of pharmacology and experimental therapeutics.

[26]  Dominic S. Lee,et al.  Modeling and control of the agitation-sedation cycle for critical care patients. , 2004, Medical engineering & physics.

[27]  E. Anderson Hudson et al. , 1977 .

[28]  H. Schwilden,et al.  The effect of age on the pharmacokinetics and pharmacodynamics of midazolam , 1999, Clinical pharmacology and therapeutics.

[29]  G. Brattebø,et al.  Effect of a scoring system and protocol for sedation on duration of patients' need for ventilator support in a surgical intensive care unit , 2002, BMJ : British Medical Journal.

[30]  L. Worthley,et al.  Nutrition in the critically ill patient: part I. Essential physiology and pathophysiology. , 2003, Critical care and resuscitation : journal of the Australasian Academy of Critical Care Medicine.

[31]  G. Guyatt,et al.  Adaptation to the Intensive Care Environment (ATICE): Development and validation of a new sedation assessment instrument , 2003, Critical care medicine.

[32]  J G Chase,et al.  Physiological modelling of agitation-sedation dynamics. , 2006, Medical engineering & physics.

[33]  P. Hartvig,et al.  Pharmacokinetics of midazolam in total i.v. anaesthesia. , 1987, British journal of anaesthesia.

[34]  R. Moore,et al.  Systematic review of factors affecting the ratios of morphine and its major metabolites , 1998, Pain.

[35]  U. Klotz,et al.  Pharmacokinetics and the pharmacodynamic action of midazolam in young and elderly patients undergoing tooth extraction , 1998, Clinical pharmacology and therapeutics.

[36]  J. Geoffrey Chase,et al.  Quantifying agitation in sedated ICU patients using digital imaging , 2004, Comput. Methods Programs Biomed..

[37]  J. Kress,et al.  Daily interruption of sedative infusions in critically ill patients undergoing mechanical ventilation. , 2000, The New England journal of medicine.

[38]  D. O'Hara,et al.  Pharmacokinetics and Pharmacodynamics of Sedatives and Analgesics in the Treatment of Agitated Critically Ill Patients , 1997, Clinical pharmacokinetics.

[39]  A. Donner,et al.  Optimal intravenous dosing strategies for sedatives and analgesics in the intensive care unit. , 1995, Critical care clinics.

[40]  W. Haefeli,et al.  Prolonged sedation due to accumulation of conjugated metabolites of midazolam , 1995, The Lancet.

[41]  J. Geoffrey Chase,et al.  Hinfinity control analysis of patient agitation management in the critically ill , 2005, Int. J. Intell. Syst. Technol. Appl..

[42]  U. Hofmann,et al.  Pharmacokinetic modelling of morphine, morphine-3-glucuronide and morphine-6-glucuronide in plasma and cerebrospinal fluid of neurosurgical patients after short-term infusion of morphine. , 2002, British journal of clinical pharmacology.

[43]  C. Gross,et al.  Sedating critically ill patients: factors affecting nurses' delivery of sedative therapy. , 2001, American journal of critical care : an official publication, American Association of Critical-Care Nurses.

[44]  W. Härdle Applied Nonparametric Regression , 1991 .

[45]  Christopher E. Hann,et al.  Integral-based parameter identification for long-term dynamic verification of a glucose-insulin system model , 2005, Comput. Methods Programs Biomed..

[46]  A. Guyton,et al.  Textbook of Medical Physiology , 1961 .

[47]  Rob Janknegt,et al.  Clinical pharmacokinetics of midazolam in intensive care patients, a wide interpatient variability? , 1988, Clinical pharmacology and therapeutics.

[48]  Susan A. Murphy,et al.  Monographs on statistics and applied probability , 1990 .

[49]  M Danhof,et al.  Pharmacokinetic‐pharmacodynamic modeling of midazolam effects on the human central nervous system , 1988, Clinical pharmacology and therapeutics.