Abdul Razak Athirah, Abu-Samah Asma, Abdul Razak Normy Norfiza, Jamaludin Ummu, Suhaimi Fatanah, Ralib Azrina, Mat Nor Mohd Basri, Pretty Christopher, Knopp Jennifer Laura, Chase James Geoffrey
College of Engineering, Universiti Tenaga Nasional, Kajang, Malaysia.
Department of Electrical, Electronics and Systems, Faculty of Engineering and Built Environment, Universiti Kebangsaan Malaysia, Bangi, Malaysia.
Med Devices (Auckl). 2020 Jun 4;13:139-149. doi: 10.2147/MDER.S231856. eCollection 2020.
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.
本文对马来西亚重症监护病房(ICU)患者采用的自动化个性化随机靶向(STAR)血糖控制方案的依从性进行评估,以确保其得到优化使用。
STAR根据个体胰岛素敏感性变化以及血糖、胰岛素和营养状况的历史数据,建议进行1 - 3小时的治疗。本研究使用了马来西亚136例在STAR试点试验(2017年至2019年第一季度*)中记录数据的患者,以确定STAR推荐的所选胰岛素给药和营养干预与实际实施干预之间的差距。
结果显示,从2017年到2019年第一季度*,胰岛素依从率有所上升,而喂食管理方面则有波动。胰岛素给药和喂食的总体依从率分别为98.8%和97.7%。与其他使用STAR的中心相比,这里每天平均进行17次血糖测量,但在推荐时选择的间隔时间更长。各时间段的控制安全性和性能相似,与依从性无明显相关性。
结果表明,基于模型的自动化方案STAR在马来西亚ICU临床医生中得到了积极认可,可实现血糖控制自动化,其使用范围已可扩展至其他医院。通过一些建议可改善其性能。