Assessment of Glycemic Control Protocol (STAR) Through Compliance Analysis Amongst Malaysian ICU Patients.

compliance diabetes glycemic control model-based control stochastic targeted prediction

Journal

Medical devices (Auckland, N.Z.)
ISSN: 1179-1470
Titre abrégé: Med Devices (Auckl)
Pays: New Zealand
ID NLM: 101566041

Informations de publication

Date de publication:
2020
Historique:
received: 20 09 2019
accepted: 15 01 2020
entrez: 2 7 2020
pubmed: 2 7 2020
medline: 2 7 2020
Statut: epublish

Résumé

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. 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. 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. 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.

Identifiants

pubmed: 32607009
doi: 10.2147/MDER.S231856
pii: 231856
pmc: PMC7282801
doi:

Types de publication

Journal Article

Langues

eng

Pagination

139-149

Informations de copyright

© 2020 Abdul Razak et al.

Déclaration de conflit d'intérêts

The authors report no conflicts of interest in this work.

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Auteurs

Athirah Abdul Razak (A)

College of Engineering, Universiti Tenaga Nasional, Kajang, Malaysia.

Asma Abu-Samah (A)

Department of Electrical, Electronics and Systems, Faculty of Engineering and Built Environment, Universiti Kebangsaan Malaysia, Bangi, Malaysia.

Normy Norfiza Abdul Razak (NN)

College of Engineering, Universiti Tenaga Nasional, Kajang, Malaysia.

Ummu Jamaludin (U)

Department of Mechanical Engineering, Universiti Malaysia Pahang, Kuantan, Malaysia.

Fatanah Suhaimi (F)

Advanced Medical and Dental Institute, Universiti Sains Malaysia, Pulau Pinang, Malaysia.

Azrina Ralib (A)

Department of Anesthesiology, International Islamic University Malaysia, Kuantan, Malaysia.

Mohd Basri Mat Nor (MB)

Intensive Care Unit, International Islamic University Medical Centre, Kuantan, Malaysia.

Christopher Pretty (C)

Department of Mechanical Engineering, University of Canterbury, Christchurch, New Zealand.

Jennifer Laura Knopp (JL)

Department of Mechanical Engineering, University of Canterbury, Christchurch, New Zealand.

James Geoffrey Chase (JG)

Department of Mechanical Engineering, University of Canterbury, Christchurch, New Zealand.

Classifications MeSH