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Stochastic TARgeted (STAR) glycaemic control: improved performances and safety for all

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Academic year: 2021

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Background & Objectives

Glycaemic control (GC) targeting normoglycaemic ranges in ICU patients has shown improved outcomes but was proven difficult to achieve safely, increasing risk of hypoglycaemia.

▪ STAR is a model-based GC protocol with proven safety and performance. It uses a unique risk-based dosing approach accounting for both intra- and inter- patient variability (Figure 1).

▪ This study compares safety and efficacy of intermediate clinical results of the STAR-Liège trial at the University Hospital of Liège, Belgium, with retrospective data from patients under the standard protocol (SP).

Fig. 1. Current patient-specific insulin sensitivity (SI) is identified using a mathematical model (1). Future SI is forecast using a stochastic model (2).

Using distribution of future SI, STAR (3) optimises insulin-nutrition rates to overlap predicted BG outcomes with the safe target band.

Methods

Ethics approval was granted by the University Hospital of Liège Ethics Committee for the STAR-Liège clinical trial. STAR-STAR-Liège offers 1-3 hourly blood glucose (BG) measurement options.

Target band: 80– 145 mg/dL (100 – 150 mg/dL for SP)

Starting criteria: 2 BG measurements > 145 mg/dL

Stopping criteria: BG stable for 6h at low insulin rates(≤ 2U/h) or 72h after inclusion

Insulin: Max. 9U/h with maximum increment of 2U/h

Nutrition: Decrease to a min. of 30% original goal feed

Results

Clinical results of STAR are compared to retrospective patients (Table 1).

Table 1 – Clinical data from 10 STAR patients and 20 retrospective patients. BG is resampled hourly. Results are given as median [IQR].

Conclusions

▪ It is possible to provide safe, and effective control for all patients despite lower intermediate glycaemic target ranges, using model-based, risk-based dosing of insulin and nutrition.

These results are encouraging, comparable to previous studies, and supportSTAR’s

risk-based dosing approach as a robust solution across different ICU settings and usages.

Stochastic TARgeted (STAR) glycaemic control: improved performances and safety for all

STAR SP

# Patients 10 20

Total hours 455 5006

Average measurements per day 12 7

Cohort BG (mg/dL) 118 [109 129] 139 [117, 160]

Per-patient median insulin rate (U/hr) 3.0 [2.0 4.0] 2.5 [2.0, 3.0]

Per-patient median dextrose rate (g/hr) 7.0 [4.7, 8.2] 9.8 [8.6, 11.5]

Per-patient median dextrose rate (%Goal) 90 [60 100] /

% BG in 80-145 mg/dL 89 55 % BG in 100-150 mg/dL 84 54 % BG in 145-180 mg/dL 9 31 % BG > 180 mg/dL 2 13 % BG < 80 mg/dL 0.5 1 % BG < 40 mg/dL 0 0

Vincent Uyttendaele1,2, JL Knopp2, M Pirotte3, P Morimont3, GM Shaw4, T Desaive1, JG Chase2, B Misset3and B Lambermont3

1GIGA – In silico Medicine, University of Liège, Belgium; 2Department of Mechanical Engineering, University of Canterbury, New Zealand;

3Department of Intensive Care, University Hospital of Liège, Belgium; 4Department of Intensive Care, Christchurch Hospital, New Zealand.

Sa fe t a rg e t ba n d Fu tu re SI ( SI n+ 1 )

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Figure

Table 1 – Clinical data from 10 STAR patients and 20 retrospective patients. BG is resampled hourly

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