Assessment of glycemic control protocol (STAR) through compliance analysis amongst Malaysian ICU patients

Athirah, Abdul Razak and Asma, Abu-Samah and Normy Norfiza, Abdul Razak and Ummu Kulthum, Jamaludin and Fatanah, Suhaimi and Azrina, Ralib and Mohd Basri, Mat Nor and Pretty, Christopher G. and Knopp, Jennifer Launa and Chase, J. Geoffrey (2020) Assessment of glycemic control protocol (STAR) through compliance analysis amongst Malaysian ICU patients. Medical Devices: Evidence and Research, 13. pp. 139-149. ISSN 1179-1470. (Published)

Pdf (Open access)
Assessment of glycemic control protocol STAR through compliance.pdf
Available under License Creative Commons Attribution Non-commercial.

Download (5MB) | Preview


Purpose: This paper presents an assessment of an automated and personalized stochastic targeted (STAR) glycemic control protocol compliance in Malaysian intensive care unit (ICU) patients to ensure an optimized usage. Patients and Methods: STAR proposes 1– 3 hours treatment based on individual insulin sensitivity variation and history of blood glucose, insulin, and nutrition. A total of 136 patients recorded data from STAR pilot trial in Malaysia (2017–quarter of 2019*) were used in the study to identify the gap between chosen administered insulin and nutrition intervention as recommended by STAR, and the real intervention performed. Results: The results show the percentage of insulin compliance increased from 2017 to first quarter of 2019* and fluctuated in feed administrations. Overall compliance amounted to 98.8% and 97.7% for administered insulin and feed, respectively. There was higher average of 17 blood glucose measurements per day than in other centres that have been using STAR, but longer intervals were selected when recommended. Control safety and performance were similar for all periods showing no obvious correlation to compliance. Conclusion: The results indicate that STAR, an automated model-based protocol is positively accepted among the Malaysian ICU clinicians to automate glycemic control and the usage can be extended to other hospitals already. Performance could be improved with several propositions.

Item Type: Article
Additional Information: Indexed by Scopus
Uncontrolled Keywords: Compliance; Glycemic control; Diabetes; Stochastic targeted prediction; Modelbased control
Subjects: R Medicine > RC Internal medicine
T Technology > TJ Mechanical engineering and machinery
T Technology > TK Electrical engineering. Electronics Nuclear engineering
Faculty/Division: Faculty of Mechanical Engineering
Depositing User: Mrs Norsaini Abdul Samat
Date Deposited: 18 Aug 2022 06:59
Last Modified: 18 Aug 2022 06:59
Download Statistic: View Download Statistics

Actions (login required)

View Item View Item