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使用强制空气毯进行体温的自动闭环管理:猪模型中的初步可行性研究。

Automated closed-loop management of body temperature using forced-air blankets: preliminary feasibility study in a porcine model.

作者信息

Peter Jörg, Klingert Kathrin, Klingert Wilfried, Thiel Karolin, Königsrainer Alfred, Grasshoff Christian, Rosenstiel Wolfgang, Schenk Martin

机构信息

Department of Computer Engineering, University of Tübingen, Sand 13, Tübingen, 72076, Germany.

Department of Information Technology and Applied Medical Informatics, University Hospital Tübingen, Sand 13, Tübingen, 72076, Germany.

出版信息

BMC Anesthesiol. 2018 Jul 3;18(1):80. doi: 10.1186/s12871-018-0542-4.

Abstract

BACKGROUND

Management of a patient's body temperature is an important aspect of care that should be addressed by targeted temperature management (TTM). Often, non-invasive methods like forced-air blankets are used. Especially in the operating room this management may be a subsidiary and repetitive task requiring constant observation of the patient's body temperature and adaption using the limited set of available settings. Thus, automation of TTM is a feasible target to improve patient outcome and reduce caregiver workload.

METHODS

A Philips IntelliVue MP 50 patient monitor with an arterial PiCCO catheter system was used to measure patient blood temperature. Thermal management was performed with a 3M Bair Hugger 755 warming unit with forced air blankets. The warming unit was extended by a computer interface to allow for remote and automated control. A proposed closed-loop algorithm reads the measured temperature and performs automated control of the 3M Bair Hugger. Evaluation was performed in an experimental intensive care setting for animal studies. Two fully automated trials are compared with two manual and two uncontrolled trials in the same study setting using six female pigs for prolonged observation times of up to 90 hours in each trial.

RESULTS

The developed system and proposed algorithm allow more precise temperature management by keeping a set target temperature within a range of ± 0.5 °C in 88% of the observation time and within a range of ± 1.0 °C at all times. The proposed algorithm yielded better performance than did manual control or uncontrolled trials. It was able to adapt to individual patient needs as it is more dynamic than look-up table approaches with fixed settings for various temperatures.

CONCLUSIONS

Closed-loop TTM using non-invasive forced-air warming blankets was successfully tested in a porcine study with the proposed hardware interface and control algorithm. This automation can be beneficial for patient outcome and can reduce caregiver workload and patient risk in clinical settings. As temperature readings are most often available, existing devices like the 3M Bair Hugger can easily be expanded. However, even if clinical application is feasible, open questions regarding approval and certification of such automated systems within the current legal situation still need to be answered.

摘要

背景

患者体温管理是护理的一个重要方面,应通过目标温度管理(TTM)来解决。通常会使用如强制空气毯等非侵入性方法。特别是在手术室中,这种管理可能是一项辅助性的重复性任务,需要持续观察患者体温并利用有限的可用设置进行调整。因此,TTM自动化是改善患者预后和减轻护理人员工作量的一个可行目标。

方法

使用配备动脉PiCCO导管系统的飞利浦IntelliVue MP 50患者监护仪测量患者血液温度。使用带有强制空气毯的3M Bair Hugger 755升温装置进行热管理。该升温装置通过计算机接口进行扩展,以实现远程和自动控制。一种提议的闭环算法读取测量温度并对3M Bair Hugger进行自动控制。在动物研究的实验重症监护环境中进行评估。在同一研究环境中,将两项全自动试验与两项手动试验和两项非受控试验进行比较,每项试验使用六只雌性猪,观察时间长达90小时。

结果

所开发的系统和提议的算法通过在88%的观察时间内将设定目标温度保持在±0.5°C范围内,并始终保持在±1.0°C范围内,实现了更精确的温度管理。提议的算法比手动控制或非受控试验表现更好。它能够适应个体患者的需求,因为它比具有各种温度固定设置的查找表方法更具动态性。

结论

使用非侵入性强制空气升温毯的闭环TTM在猪研究中通过提议的硬件接口和控制算法成功进行了测试。这种自动化对患者预后有益,可减少临床环境中的护理人员工作量和患者风险。由于温度读数通常可用,像3M Bair Hugger这样的现有设备可以很容易地进行扩展。然而,即使临床应用可行,在当前法律情况下,关于此类自动化系统的批准和认证的开放性问题仍需得到解答。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/04e5/6029032/51acd189dfc5/12871_2018_542_Fig1_HTML.jpg

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