Tight Glucose Control in Critically Ill Patients Using a Specialized InsulinNutrition Table Development Implementation of the SPRINT Protocol T. Lonergan, J.G. Chase, A. Le Compte, M. Willacy et al. Department of Mechanical Engineering Centre for Bio-Engineering University of Canterbury Christchurch, New Zealand Overview • Background – Stress-induced hyperglycaemia – Active Insulin Control (AIC) • SPRINT – Introduction – Development • Clinical Testing and Results Background Stress-Induced hyperglycaemia prevalent in critical care Impaired endogenous insulin production Increased effective insulin resistance Average blood glucose values > 10mmol/L not uncommon in some critical care units (over length of stay) Tight control better outcomes: Reduced mortality 27-43% (4.0-7.75 mmol/L) [van den Berghe et al, 2001; Krinsley, 2004; …] Reduced length of stay and length of mechanical ventilation Goal: Keep Blood Glucose ~Normal (4.0 – 6.0 mmol/L, 75 – 110 dg/mL) Active Insulin Control Evolution AIC 1 – 3 Development of Mathematical Model + 1st Trials Insulin-only AIC 4 Computerised Control Protocol Insulin + Nutrition AIC 5 • Develop new protocol with same (or better) control • Easy to implement in clinical environment • Compare to international protocols SPRINT Step 1 = Feed Rate Table Requires current glucose measurement and last hour change in glucose SPRINT Step 2 = Insulin Table Requires current glucose measurement, last hour change and last hours insulin bolus If feed rate = 0 use only insulin wheel Clinical Testing • Virtual trials using fitted long term patient data to create virtual patient responses – Tests algorithms and methods safely – Provides insight into potential long term usage • 33+ Clinical trials in Christchurch ICU – Clinical proof of concept – Ethical consent granted by Canterbury Ethics Committee – Process Improvement Change Development & Protocol Comparison SPRINT Protocol • Practice AIC4 Protocol Mayo Clinic Protocol (Krinsley) Leuven Protocol (van den Berghe et al) Goal #1 = SPRINT ≥ Best Clinical • Goal #2 = Effectiveness of AIC4 with ease of Leuven Protocol Bath University Protocol Yale University Protocol CDHB Insulin Sliding Scale Protocol Aggressive Insulin Sliding Scale Protocol • Use same virtual trial cohort as previously to test all protocols Insulin rate BG level Standard Aggressive < 4 mmol/L 0 U/hr 0 U/hr 0 U/hr 4 – 5.9 mmol/L 1 U/hr 1 U/hr 6 – 7.9 mmol/L 2 U/hr 2 U/hr 8 – 9.9 mmol/L 3 U/hr 4 U/hr 10 – 11.9 mmol/L 4 U/hr 6 U/hr 12 – 13.9 mmol/L 5 U/hr 6 U/hr >= 14 mmol/L 6 U/hr 6 U/hr Protocol Comparison Results 0.4 45% 0.35 SPRINT 0.3 AIC4 Density of measurements 25% Bath Leuven 0.25 Mayo Clinic Yale Sliding Scale 0.2 Aggressive sliding scale 0.15 Bad! Also Bad! 0.1 0.05 Very Bad! Not Trying? 0 0 2 4 6 8 10 12 Blood glucose level [mmol/L] 14 16 18 20 Clinical Results • 4688 total hours of control • 3578 measurements (47.4% two-hourly) • • • • Overall Average BG = 5.9 +/- 0.9 mmol/L Time in 4-6.1 mmol/L = 59.363% Extremely tight control ! Time in 4-7.0 mmol/L = 86% Time in 4-7.75 mmol/L = 94% • Percentage of measurements < 4 mmol/L = 1.8% • Percentage of measurements < 3 mmol/L = 0.0% • Minimum 3.1 mmol/L Clinical Results • Average Insulin = 2.6 U/hr • Average Feed = 62% = 1150 kcal/day!!!! – versus prior hospital rate of 58%! • Age: Mean = 55, Range = 27-84 • • • • APACHE II (Risk of Death) = 20 (36.7%) APACHE III = 58 SAPS II (Risk of Death) = 43 (33.3%) Mortality (at ICU discharge) = 24.2% Conclusions • Implemented tight glycaemic control into the ICU – – – – Developed a simple, easy-to-use system: SPRINT High compliance by clinical staff due to ease of use Performance amongst the best in the world 33+ patients and growing • Clinical results match desired outcomes – Exceed published protocols by 3-5x on variation – Better average glucose for same or less insulin – Much more critically ill cohort Acknowledgements Jessica Lin & AIC3 Thomas Lotz Jason Wong & AIC4 Assoc. Prof. Geoff Chase Dunedin Dr Kirsten McAuley AIC2 & Dr. G. Shaw Mike Willacy Aaron Le Compte The Danes Prof Steen Andreassen Prof Jim Mann Maths and Stats Gurus Dr Dom Lee Dr Bob Broughton Prof Graeme Wake Dr Chris Hann