Nutrition delivery of a model-based ICU glycaemic control system

BackgroundHyperglycaemia is commonplace in the adult intensive care unit (ICU), associated with increased morbidity and mortality. Effective glycaemic control (GC) can reduce morbidity and mortality, but has proven difficult. STAR is a proven, effective model-based ICU GC protocol that uniquely maintains normo-glycaemia by changing both insulin and nutrition interventions to maximise nutrition in the context of GC in the 4.4–8.0 mmol/L range. Hence, the level of nutrition it provides is a time-varying estimate of the patient-specific ability to take up glucose.MethodsFirst, the clinical provision of nutrition by STAR in Christchurch Hospital, New Zealand (N = 221 Patients) is evaluated versus other ICUs, based on the Cahill et al. survey of 158 ICUs. Second, the inter- and intra- patient variation of nutrition delivery with STAR is analysed. Nutrition rates are in terms of percentage of caloric goal achieved.ResultsMean nutrition rates clinically achieved by STAR were significantly higher than the mean and best ICU surveyed, for the first 3 days of ICU stay. There was large inter-patient variation in nutrition rates achieved per day, which reduced overtime as patient-specific metabolic state stabilised. Median intra-patient variation was 12.9%; however, the interquartile range of the mean per-patient nutrition rates achieved was 74.3–98.2%, suggesting patients do not deviate much from their mean patient-specific nutrition rate. Thus, the ability to tolerate glucose intake varies significantly between, rather than within, patients.ConclusionsOverall, STAR’s protocol-driven changes in nutrition rate provide higher nutrition rates to hyperglycaemic patients than those of 158 ICUs from 20 countries. There is significant inter-patient variability between patients to tolerate and uptake glucose, where intra-patient variability over stay is much lower. Thus, a best nutrition rate is likely patient specific for patients requiring GC. More importantly, these overall outcomes show high nutrition delivery and safe, effective GC are not exclusive and that restricting nutrition for GC does not limit overall nutritional intake compared to other ICUs.

[1]  Richard L. Jones,et al.  Cost analysis of intensive glycemic control in critically ill adult patients. , 2006, Chest.

[2]  P. Cryer,et al.  Epinephrine plasma metabolic clearance rates and physiologic thresholds for metabolic and hemodynamic actions in man. , 1980, The Journal of clinical investigation.

[3]  G. Van den Berghe,et al.  Analysis of healthcare resource utilization with intensive insulin therapy in critically ill patients* , 2006, Critical care medicine.

[4]  James Stephen Krinsley,et al.  Effect of an intensive glucose management protocol on the mortality of critically ill adult patients. , 2004, Mayo Clinic proceedings.

[5]  G. Van den Berghe,et al.  Intensive insulin therapy in the medical ICU. , 2006, The New England journal of medicine.

[6]  B. De Moor,et al.  LOGIC-Insulin Algorithm–Guided Versus Nurse-Directed Blood Glucose Control During Critical Illness , 2013, Diabetes Care.

[7]  Thomas Desaive,et al.  Pilot proof of concept clinical trials of Stochastic Targeted (STAR) glycemic control , 2011, Annals of intensive care.

[8]  Deborah J. Cook,et al.  Intensive insulin therapy and mortality among critically ill patients: a meta-analysis including NICE-SUGAR study data , 2009, Canadian Medical Association Journal.

[9]  Michael Bailey,et al.  Hypoglycemia and outcome in critically ill patients. , 2010, Mayo Clinic proceedings.

[10]  K. Aldridge Permissive underfeeding or standard enteral feeding in critically ill adults , 2015, Journal of the Intensive Care Society.

[11]  J. Dickson,et al.  Humans are Horribly Variable , 2014 .

[12]  J. Vincent,et al.  Paradigm shifts in critical care medicine: the progress we have made , 2015, Critical Care.

[13]  J. Krinsley,et al.  Glycemic variability: A strong independent predictor of mortality in critically ill patients* , 2008, Critical care medicine.

[14]  Christopher E. Hann,et al.  A physiological Intensive Control Insulin-Nutrition-Glucose (ICING) model validated in critically ill patients , 2011, Comput. Methods Programs Biomed..

[15]  J. Geoffrey Chase,et al.  Stochastic Targeted (STAR) Glycemic Control: Design, Safety, and Performance , 2012, Journal of diabetes science and technology.

[16]  Dominic S. Lee,et al.  Implementation and evaluation of the SPRINT protocol for tight glycaemic control in critically ill patients: a clinical practice change , 2008, Critical care.

[17]  Thomas Desaive,et al.  What Makes Tight Glycemic Control ( TGC ) Tight ? The impact of variability and nutrition in 2 clinical studies , 2011 .

[18]  A. Forbes,et al.  ESPEN Guidelines on Parenteral Nutrition: intensive care. , 2006, Clinical nutrition.

[19]  G. Van den Berghe,et al.  ESPEN Guidelines on Enteral Nutrition: Intensive care. , 2006, Clinical nutrition.

[20]  Liam M. Fisk,et al.  Reducing the impact of insulin sensitivity variability on glycaemic outcomes using separate stochastic models within the STAR glycaemic protocol , 2014, Biomedical engineering online.

[21]  M. Berger,et al.  Negative impact of hypocaloric feeding and energy balance on clinical outcome in ICU patients. , 2005, Clinical nutrition.

[22]  Albertus Beishuizen,et al.  Optimal protein and energy nutrition decreases mortality in mechanically ventilated, critically ill patients: a prospective observational cohort study. , 2012, JPEN. Journal of parenteral and enteral nutrition.

[23]  Anthony Delaney,et al.  Tight glycemic control in critically ill adults. , 2008, JAMA.

[24]  Peter Carrotte Can We Fix it? – Yes We Can! , 2004 .

[25]  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..

[26]  Christopher E. Hann,et al.  Tight glycemic control in critical care - The leading role of insulin sensitivity and patient variability: A review and model-based analysis , 2011, Comput. Methods Programs Biomed..

[27]  J. Geoffrey Chase,et al.  Stochastic Model Predictive (STOMP) glycaemic control for the intensive care unit: Development and virtual trial validation , 2015, Biomed. Signal Process. Control..

[28]  R. Sherwin,et al.  Synergistic interactions among antiinsulin hormones in the pathogenesis of stress hyperglycemia in humans. , 1981, Journal of Clinical Endocrinology and Metabolism.

[29]  T. Rice,et al.  Initial Trophic vs Full Enteral Feeding in Patients With Acute Lung Injury: The EDEN Randomized Trial , 2012 .

[30]  G. Van den Berghe,et al.  Early versus Late Parenteral Nutrition in Critically Ill Adults , 2011, The New England journal of medicine.

[31]  P. Kalfon,et al.  Tight glucose control: should we move from intensive insulin therapy alone to modulation of insulin and nutritional inputs? , 2008, Critical care.

[32]  Stephen Daniel,et al.  Intensive insulin therapy and mortality in critically ill patients , 2008, Critical care.

[33]  Vincent W Vanek,et al.  Guidelines for the Provision and Assessment of Nutrition Support Therapy in the Adult Critically Ill Patient: Society of Critical Care Medicine (SCCM) and American Society for Parenteral and Enteral Nutrition (A.S.P.E.N.). , 2016, JPEN. Journal of parenteral and enteral nutrition.

[34]  B A Mizock,et al.  Alterations in fuel metabolism in critical illness: hyperglycaemia. , 2001, Best practice & research. Clinical endocrinology & metabolism.

[35]  Balázs Benyó,et al.  Safety, efficacy and clinical generalization of the STAR protocol: a retrospective analysis , 2016, Annals of Intensive Care.

[36]  J. Orme,et al.  Coefficient of glucose variation is independently associated with mortality in critically ill patients receiving intravenous insulin , 2014, Critical Care.

[37]  D. Cuthbertson POST-SHOCK METABOLIC RESPONSE , 1942 .

[38]  R. Hovorka,et al.  Validity of triple- and dual-tracer techniques to estimate glucose appearance , 2012, American journal of physiology. Endocrinology and metabolism.

[39]  G. Diette,et al.  Caloric Intake in Medical ICU Patients: Consistency of Care With Guidelines and Relationship to Clinical Outcomes. , 2004, Nutrition in clinical practice : official publication of the American Society for Parenteral and Enteral Nutrition.

[40]  R. Dickerson,et al.  Hypocaloric enteral tube feeding in critically ill obese patients. , 2002, Nutrition.

[41]  A. Day,et al.  Nutrition support in the critical care setting: current practice in canadian ICUs--opportunities for improvement? , 2003, JPEN. Journal of parenteral and enteral nutrition.

[42]  A. Malhotra,et al.  Stress-induced hyperglycemia. , 2001, Critical care clinics.

[43]  T. Rice,et al.  Supplementation in Acute Lung Injury—Reply , 2012 .

[44]  H. Gerstein,et al.  Stress hyperglycaemia and increased risk of death after myocardial infarction in patients with and without diabetes: a systematic overview , 2000, The Lancet.

[45]  T. Evans,et al.  Glucose control and mortality in critically ill patients. , 2004, JAMA.

[46]  J. Geoffrey Chase,et al.  Untangling glycaemia and mortality in critical care , 2017, Critical Care.

[47]  J. Geoffrey Chase,et al.  Generalisability of a Virtual Trials Method for Glycaemic Control in Intensive Care , 2018, IEEE Transactions on Biomedical Engineering.

[48]  M. Sorine,et al.  Tight computerized versus conventional glucose control in the ICU: a randomized controlled trial , 2014, Intensive Care Medicine.

[49]  M Schetz,et al.  Intensive insulin therapy in critically ill patients. , 2001, The New England journal of medicine.

[50]  Christopher E. Hann,et al.  Stochastic modelling of insulin sensitivity variability in critical care , 2006, Biomed. Signal Process. Control..

[51]  J. Patiño,et al.  Hypocaloric Support in the Critically Ill , 1999, World Journal of Surgery.

[52]  Thomas Desaive,et al.  Variability of insulin sensitivity during the first 4 days of critical illness : implications for tight glycemic control , 2012 .

[53]  Rolf Rossaint,et al.  Intensive insulin therapy and pentastarch resuscitation in severe sepsis. , 2008, The New England journal of medicine.

[54]  Stephane Heritier,et al.  Intensive versus conventional glucose control in critically ill patients. , 2009, The New England journal of medicine.

[55]  Eun-Seok Jeon,et al.  Extracorporeal cardiopulmonary resuscitation in patients with inhospital cardiac arrest: A comparison with conventional cardiopulmonary resuscitation* , 2011, Critical care medicine.

[56]  B. Bistrian,et al.  Intensive insulin therapy in critically ill patients. , 2002, The New England journal of medicine.

[57]  J Geoffrey Chase,et al.  Model-based insulin and nutrition administration for tight glycaemic control in critical care. , 2007, Current drug delivery.

[58]  Thomas Desaive,et al.  Validation of a model-based virtual trials method for tight glycemic control in intensive care , 2010, Biomedical engineering online.

[59]  Ahmed Zaghloul,et al.  Application of conventional blood glucose control strategy in surgical ICU in developing countries: Is it beneficial? , 2016 .

[60]  G. Van den Berghe,et al.  Metabolic and nutritional support of critically ill patients: consensus and controversies , 2015, Critical Care.

[61]  P. Singer,et al.  The tight calorie control study (TICACOS): a prospective, randomized, controlled pilot study of nutritional support in critically ill patients , 2011, Intensive Care Medicine.

[62]  Christopher E. Hann,et al.  Stochastic modelling of insulin sensitivity and adaptive glycemic control for critical care , 2008, Comput. Methods Programs Biomed..

[63]  M. D. de Jong,et al.  Diminished adrenal sensitivity to endogenous and exogenous adrenocorticotropic hormone in critical illness: a prospective cohort study , 2015, Critical Care.

[64]  T. Rice Gluttony in the intensive care unit: time to push back from the consensus table. , 2013, American journal of respiratory and critical care medicine.

[65]  Daren K. Heyland,et al.  Nutrition therapy in the critical care setting: What is “best achievable” practice? An international multicenter observational study* , 2010, Critical care medicine.

[66]  A. Day,et al.  Optimal amount of calories for critically ill patients: Depends on how you slice the cake!* , 2011, Critical care medicine.

[67]  Rinaldo Bellomo,et al.  The impact of early hypoglycemia and blood glucose variability on outcome in critical illness , 2009, Critical care.

[68]  William C. Cockerham Physicians , 2001, BMJ : British Medical Journal.

[69]  Malgorzata E. Wilinska,et al.  Tight glycaemic control by an automated algorithm with time-variant sampling in medical ICU patients , 2008, Intensive Care Medicine.

[70]  Thomas Desaive,et al.  Organ failure and tight glycemic control in the SPRINT study , 2010, Critical care.

[71]  James Stephen Krinsley,et al.  Association between hyperglycemia and increased hospital mortality in a heterogeneous population of critically ill patients. , 2003, Mayo Clinic proceedings.

[72]  Y. Arabi,et al.  Permissive underfeeding and intensive insulin therapy in critically ill patients: a randomized controlled trial. , 2011, The American journal of clinical nutrition.

[73]  B Thorsteinsson Kinetic models for insulin disappearance from plasma in man. , 1990, Danish medical bulletin.

[74]  A Mari,et al.  Dose-response characteristics of insulin action on glucose metabolism: a non-steady-state approach. , 2000, American journal of physiology. Endocrinology and metabolism.

[75]  Johan Groeneveld,et al.  A prospective randomised multi-centre controlled trial on tight glucose control by intensive insulin therapy in adult intensive care units: the Glucontrol study , 2009, Intensive Care Medicine.

[76]  J. Geoffrey Chase,et al.  What Makes Tight Glycemic Control Tight? The Impact of Variability and Nutrition in Two Clinical Studies , 2010, Journal of diabetes science and technology.

[77]  F. Cerra,et al.  Applied nutrition in ICU patients. A consensus statement of the American College of Chest Physicians. , 1997, Chest.

[78]  B. Thorsteinsson,et al.  The relationship between plasma concentration and plasma disappearance rate of immunoreactive insulin in normal subjects , 1982, Diabetologia.

[79]  Rinaldo Bellomo,et al.  Variability of Blood Glucose Concentration and Short-term Mortality in Critically Ill Patients , 2006, Anesthesiology.

[80]  S. McClave,et al.  Guidelines for the provision and assessment of nutrition support therapy in the adult critically ill patient: Society of Critical Care Medicine and American Society for Parenteral and Enteral Nutrition: Executive Summary* , 2009, Critical care medicine.

[81]  John A Myburgh,et al.  Hypoglycemia and risk of death in critically ill patients. , 2012, The New England journal of medicine.

[82]  Roman Hovorka,et al.  Efficacy and safety of glucose control with Space GlucoseControl in the medical intensive care unit--an open clinical investigation. , 2012, Diabetes technology & therapeutics.

[83]  Z. Karaca Permissive Underfeeding or Standard Enteral Feeding in Critically Ill Adults , 2015 .

[84]  J. Geoffrey Chase,et al.  STAR Development and Protocol Comparison , 2012, IEEE Transactions on Biomedical Engineering.