Variability of insulin sensitivity during the first 4 days of critical illness C. Pretty, A. Le Compte, J. G. Chase, G. Shaw, S. Penning, J-C Preiser, T. Desaive Insulin Introduction Brain Insulin sensitivity defines the metabolic balance between insulin concentration and insulin-mediated glucose disposal. → Insulin losses (liver, kidneys) Blood Glucose When using exogenous insulin, variable insulin sensitivity can cause highly variable outcome glycaemia. Plasma Insulin Effective insulin Pancreas Glucose Insulin sensitivity is affected by the acute stress response to critical injury. This study quantifies and compares the evolution of insulin sensitivity level and variability for critical care patients receiving glycaemic control during their first 4 days of ICU stay. Liver Other cells G pG .G (t ) SI .G (t ) Q(t ) P(t ) EGP CNS 1 G Q(t ) VG Q nI ( I (t ) Q(t )) nC Q(t ) 1 G Q(t ) I nK I (t ) nL uex (t ) uen (G ) I (t ) nI ( I (t ) Q(t )) (1 xL ) 1 I I (t ) VI VI Patients Subjects & Methods N Age (yrs) Gender (M/F) APACHE II score APACHE II ROD (%) Operative/Non-Operative Hospital mortality ICU mortality ICU length of stay (hrs) Diabetic history: Type I/Type II A retrospective analysis of patient data from the SPRINT tight glycaemic control (TGC) study in the Christchurch Hospital ICU. All patients commenced TGC within 12 hours of ICU admission and spent at least 24 hours on the SPRINT protocol. Model-based insulin sensitivity (SI) was identified each hour for every patient. Absolute level and hour-to-hour percent changes in SI were assessed on cohort and perpatient bases. Levels and variability of SI were compared over time on 24-hour and 6-hour timescales for the first 4 days of ICU stay. 164 65 [56-74] 102/62 19 [16-25] 32 [17-52] 66/98 25% 18% 142 [70-308] 10/22 24-hour analysis Cohort level analysis Per-patient level analysis 1 Results Cohort analysis 0.9 Per-patient analysis 0.8 Cohort and per-patient median SI levels increased by 34% and 33% (p<0.001) between days 1 and 2 of ICU stay. SI Level Cohort and per-patient SI variability reduced by 32% and 36% (p<0.001). Days 1-2 34 <0.0001 33 0.0004 Days 2-3 16 <0.0001 21 0.2559 Days 3-4 Analysis of the first 24 hours using 6-hour blocks of SI data showed that most of the improvement in insulin sensitivity level and variability seen between days 1 and 2 occurred during the first 12-18 hours of day 1. 6 p-value % Increase at median 0.0013 4 0.7 p-value 0.6 F(x) % Increase at median 0.5 0.4 0.3 0.2 0.6306 0-24hrs (3936 hours) 24-48hrs (3376 hours) 48-72hrs (2568 hours) 72-96hrs (2187 hours) 0.1 0 0 0.5 1 1.5 S [L/mU.min] 0-24hrs (164 patients) 24-48hrs (155 patients) 48-72hrs (112 patients) 72-96hrs (95 patients) 0 0.5 x 10 I 1 1.5 S [L/mU.min] -3 -3 x 10 I Cohort variability analysis Per-patient variability analysis 1 Cohort analysis This rapid improvement was likely due to the decline of counter-regulatory hormones as the acute phase of critical illness progressed. 0.9 Per-patient analysis 0.8 p-value % Reduction at median 0.7 p-value 0.6 F(x) SI Variability % Reduction of IQR 0.5 0.4 Days 1-2 Days 2-3 Days 3-4 ICU patients have significantly lower and more variable insulin sensitivity on day 1 than later in their ICU stay and particularly during the first 12 hours. 32 20 14 <0.0001 0.0028 0.0269 36 18 17 <0.0001 0.0091 0.0369 0.3 0.2 0.1 0 -100 Clinically, these results suggest that while using TGC protocols with patients during their first few days of ICU stay, extra care should be afforded. 0-24hrs (3772 hours) 24-48hrs (3221 hours) 48-72hrs (2456 hours) 72-96hrs (2092 hours) -50 0 Percentage change (%) 50 100 0-24hrs (162 patients) 24-48hrs (155 patients) 48-72hrs (112 patients) 72-96hrs (94 patients) 0 50 100 150 200 250 300 50% range of hour-to-hour variability 6-hour analysis Cohort level analysis Per-patient level analysis 1 0.9 0.8 SI Level 0-6 vs. 6-12hrs 6-12 vs. 12-18hrs 12-18 vs. 18-24hrs 18-24 vs. 24-48 hrs % Increase at median 42 28 1 9 p-value <0.0001 <0.0001 0.0335 0.0452 Per-patient analysis % Increase at median 40 26 3 7 0.6 F(x) Cohort analysis 0.75 0.7 p-value 0.5 0.4 0.25 0.3 0.0007 0.0123 0.4829 0.3776 0-6hrs (984 hours) 6-12hrs (984 hours) 12-18hrs (984 hours) 18-24hrs (984 hours) 24-48hrs (3376 hours) 0.2 0.1 0 0 0.5 1 1.5 S [L/mU.min] 0-6hrs (164 patients) 6-12hrs (164 patients) 12-18hrs (164 patients) 18-24hrs (164 patients) 24-48hrs (155 patients) 0 0.5 x 10 I 1 0 50 100 IQR2 -3 IQR1 x 10 I Cohort variability analysis -50 1.5 S [L/mU.min] -3 -100 Per-patient variability analysis 1 0.9 0-6 vs. 6-12hrs 6-12 vs. 12-18hrs 12-18 vs. 18-24hrs 18-24 vs. 24-48hrs Per-patient analysis % Reduction p-value at median 36 < 0.0001 28 0.0673 9 0.1032 14 0.1075 0.8 % Reduction of IQR = 0.7 0.6 F(x) SI Variability Cohort analysis % Reduction p-value of IQR 40 0.0017 24 0.0628 0 0.0931 18 0.1682 0.5 0.4 0.3 0-6hrs (820 hours) 6-12hrs (820 hours) 12-18hrs (820 hours) 18-24hrs (820 hours) 24-48hrs (3221 hours) 0.2 0.1 0 -100 -50 0 Percentage change (%) 50 100 0-6hrs (149 patients) 6-12hrs (161 patients) 12-18hrs (163 patients) 18-24hrs (163 patients) 24-48hrs (155 patients) 0 50 100 150 200 250 300 50% range of hour-to-hour variability 350 400 IQR1 IQR 2 100 IQR1 350 400