Intensive Care Medicine

, Volume 34, Issue 7, pp 1224–1230 | Cite as

Tight glycaemic control by an automated algorithm with time-variant sampling in medical ICU patients

  • Christoph Pachler
  • Johannes Plank
  • Heinz Weinhandl
  • Ludovic J. Chassin
  • Malgorzata E. Wilinska
  • Roman Kulnik
  • Peter Kaufmann
  • Karl-Heinz Smolle
  • Ernst Pilger
  • Thomas R. Pieber
  • Martin Ellmerer
  • Roman Hovorka
Original

Abstract

Objective

Tight glycaemic control (TGC) in critically ill patients improves clinical outcome, but is difficult to establish The primary objective of the present study was to compare glucose control in medical ICU patients applying a computer-based enhanced model predictive control algorithm (eMPC) extended to include time-variant sampling against an implemented glucose management protocol.

Design

Open randomised controlled trial.

Setting

Nine-bed medical intensive care unit (ICU) in a tertiary teaching hospital.

Patients and participants

Fifty mechanically ventilated medical ICU patients.

Interventions

Patients were included for a study period of up to 72 h. Patients were randomised to the control group (n = 25), treated by an implemented insulin algorithm, or to the eMPC group (n = 25), using the laptop-based algorithm. Target range for blood glucose (BG) was 4.4–6.1 mM. Efficacy was assessed by mean BG, hyperglycaemic index (HGI) and BG sampling interval. Safety was assessed by the number of hypoglycaemic-episodes < 2.2 mM. Each participating nurse filled-in a questionnaire regarding the usability of the algorithm.

Measurements and main results

BG and HGI were significantly lower in the eMPC group [BG 5.9 mM (5.5–6.3), median (IQR); HGI 0.4 mM (0.2–0.9)] than in control patients [BG 7.4 mM (6.9–8.6), p < 0.001; HGI 1.6 mM (1.1–2.4), p < 0.001]. One hypoglycaemic episode was detected in the eMPC group; no such episodes in the control group. Sampling interval was significantly shorter in the eMPC group [eMPC 117 min (± 34), mean (± SD), vs 174 min (± 27); p < 0.001]. Thirty-four nurses filled-in the questionnaire. Thirty answered the question of whether the algorithm could be applied in daily routine in the affirmative.

Conclusions

The eMPC algorithm was effective in maintaining tight glycaemic control in severely ill medical ICU patients.

Keywords

Critically ill Insulin resistance Tight glycemic control Computer algorithm 

Supplementary material

134_2008_1033_MOESM1_ESM.doc (2.3 mb)
Electronic Supplementary Material (DOC 2,3M)
134_2008_1033_MOESM2_ESM.doc (38 kb)
Electronic Supplementary Material (DOC 39K)
134_2008_1033_MOESM3_ESM.doc (4.9 mb)
Electronic Supplementary Material (DOC 4,9M)

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Copyright information

© Springer-Verlag 2008

Authors and Affiliations

  • Christoph Pachler
    • 1
  • Johannes Plank
    • 1
  • Heinz Weinhandl
    • 1
  • Ludovic J. Chassin
    • 2
  • Malgorzata E. Wilinska
    • 2
  • Roman Kulnik
    • 1
  • Peter Kaufmann
    • 1
  • Karl-Heinz Smolle
    • 1
  • Ernst Pilger
    • 1
  • Thomas R. Pieber
    • 1
  • Martin Ellmerer
    • 1
  • Roman Hovorka
    • 2
  1. 1.Department of Internal MedicineMedical University GrazGrazAustria
  2. 2.Department of PaediatricsUniversity of CambridgeCambridgeUK

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