Skip to main content

Study on the Enhancement of Malaysian ICU Centre and Introduction of STAR Performance

  • Conference paper
  • First Online:
Human-Centered Technology for a Better Tomorrow

Abstract

Stress-induced hyperglycaemia commonly occurred in the ICU. It is known that the majority of the ICU centre in Malaysia is using intensive insulin therapy (IIT) protocol in order to control glucose level in critically ill patient blood within the targeted level to achieve required safety goals. However, alterations to the current practice needed to be considered to minimize the risk of hypoglycaemia and mortality while reducing the case of hyperglycaemia event. Therefore, the objective of this research paper is to weigh and evaluate the performance of a modern practice known as Stochastic Targeted (STAR) Protocol in managing blood glucose (BG) levels in Malaysia ICU cohort and to compare its performance between the three participating hospitals (HTAA, HUSM and PPUM) via MATLAB simulations. STAR is a tablet-computer based protocols that provide patient-specific glucose control framework accounting for patient variability with a stochastically derived maximum 5% risk of hypoglycaemia events. The in-silico trials were simulated with controlled goal feed (GF) and without GF. Only one type of nutrition is considered in this study, which is Glucerna. The results show that all three ICU centre with STAR simulation have a tight glycemic control with HTAA (83.6%), HUSM (76.8%) and PPUM (80.6%) in terms of BG within the targeted band of 4.0–10.0 mmol/L. Also, the median BG measurement level and insulin secretion shows decrease in percentage for all ICU cohort, HTAA (12.3%; 30.2%), HUSM (21.6%; 9.9%) and PPUM (17.9%; 13.3%). The insulin sensitivity (SI) of STAR simulations have a significant increase when compared with IIT protocol, HTAA (26.1%), HUSM (33.3%) and PPUM (50%). The Kruskal-Wallis test was utilized to test the BG, SI and insulin secretion median. There are significant differences between IIT protocol and STAR simulations among the three cohorts ICU centre with p-value < 0.05.

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 149.00
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 199.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

References

  1. Ling TL et al (2017) Malaysian registry of intensive care 2016 report, pp 1–52

    Google Scholar 

  2. van den Berghe G et al (2001) Intensive insulin therapy in critically ill patients. N Engl J Med 345(19):9

    Google Scholar 

  3. Programme A, Malaysia KK, M.S.o.I. Care (2012) Management protocol in ICU. In: ICU management protocol no. 10. Blood glucose management in the intensive care unit: insulin infusion protocol. Kementerian Kesihatan Malaysia, Malaysia, p 73

    Google Scholar 

  4. Jamaludin UK et al (2018) Performance of stochastic targeted blood glucose control protocol by virtual trials in the Malaysian intensive care unit. Comput Methods Programs Biomed 162:149–155

    Article  Google Scholar 

  5. Evans A et al (2011) Pilot proof of concept clinical trials of stochastic targeted (STAR) glycemic control. Ann Intensive Care 1:38

    Article  Google Scholar 

  6. Penning S et al (2012) Second pilot trials of the STAR-Liege protocol for tight glycemic control in critically ill patients. Biomed Eng Online 11:58

    Article  Google Scholar 

  7. Penning S et al (2012) First pilot trial of the STAR-Liege protocol for tight glycemic control in critically ill patients. Comput Methods Programs Biomed 108(2):844–859

    Article  Google Scholar 

  8. Stewart KW et al (2016) Safety, efficacy and clinical generalization of the STAR protocol: a retrospective analysis. Ann Intensive Care 6(1):24

    Article  Google Scholar 

  9. Kreymann KG et al (2006) ESPEN guidelines on enteral nutrition: intensive care. Clin Nutr 25(2):210–223

    Article  Google Scholar 

  10. Chase JG et al (2011) Tight glycemic control in critical care—the leading role of insulin sensitivity and patient variability: a review and model-based analysis. Comput Methods Programs Biomed 102(2):156–171

    Article  Google Scholar 

  11. Dickson J et al (2015) Evaluation of a plasma insulin model for glycaemic control in intensive care. In: 2015 37th annual international conference of the IEEE engineering in medicine and biology society, pp 4009–4012

    Google Scholar 

  12. Lin J et al (2011) A physiological intensive control insulin-nutrition-glucose (ICING) model validated in critically ill patients. Comput Methods Programs Biomed 102(2):192–205

    Article  Google Scholar 

  13. Chase JG et al (2009) A glucose-insulin pharmacodynamic surface modeling validation and comparison of metabolic system models. Biomed Signal Process Control 4(4)

    Google Scholar 

  14. Griesdale DEG (2017) Intensive insulin therapy and mortality among critically ill patients: a meta-analysis including NICE-SUGAR study data. Can Med Assoc J 180(8):7

    Google Scholar 

  15. Thomas F et al (2014) Reducing the impact of insulin sensitivity variability on glycemic outcomes using separate stochastic models within the STAR glycaemic protocol. Biomed Eng Online 13:43

    Article  Google Scholar 

  16. Fisk L et al (2012) Development and pilot trial results of stochastic targeted (STAR) glycemic control in a medical ICU. In: International federation of automatic control

    Google Scholar 

  17. Luqman HM et al (2016) Performance of blood glucose management protocols in HTAA intensive care unit. In: 2016 IEEE international conference on automatic control and intelligent systems, Shah Alam, Malaysia

    Google Scholar 

  18. Cano N et al (2006) ESPEN guidelines on enteral nutrition: adult renal failure. Clin Nutr 25(2):295–310

    Article  Google Scholar 

Download references

Acknowledgements

This research study has been supported by Ministry of Higher Education grant (FRGS/1/2018/TK03/UMP/02/3) entitled Mechanism of insulin secretion in blood glucose—insulin control system among diabetes mellitus patients.

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Ummu Kulthum Jamaludin .

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2022 The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.

About this paper

Check for updates. Verify currency and authenticity via CrossMark

Cite this paper

Rosly, C.Z. et al. (2022). Study on the Enhancement of Malaysian ICU Centre and Introduction of STAR Performance. In: Hassan, M.H.A., et al. Human-Centered Technology for a Better Tomorrow. Lecture Notes in Mechanical Engineering. Springer, Singapore. https://doi.org/10.1007/978-981-16-4115-2_5

Download citation

  • DOI: https://doi.org/10.1007/978-981-16-4115-2_5

  • Published:

  • Publisher Name: Springer, Singapore

  • Print ISBN: 978-981-16-4114-5

  • Online ISBN: 978-981-16-4115-2

  • eBook Packages: EngineeringEngineering (R0)

Publish with us

Policies and ethics