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

Overview of attention for article published in BMC Anesthesiology, July 2018
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Title
Automated closed-loop management of body temperature using forced-air blankets: preliminary feasibility study in a porcine model
Published in
BMC Anesthesiology, July 2018
DOI 10.1186/s12871-018-0542-4
Pubmed ID
Authors

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

Abstract

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. 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. 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. 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.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 20 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 20 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 3 15%
Student > Master 2 10%
Librarian 1 5%
Other 1 5%
Student > Bachelor 1 5%
Other 3 15%
Unknown 9 45%
Readers by discipline Count As %
Medicine and Dentistry 3 15%
Nursing and Health Professions 3 15%
Computer Science 2 10%
Psychology 1 5%
Biochemistry, Genetics and Molecular Biology 1 5%
Other 0 0%
Unknown 10 50%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 10 July 2018.
All research outputs
#17,982,872
of 23,094,276 outputs
Outputs from BMC Anesthesiology
#857
of 1,516 outputs
Outputs of similar age
#236,987
of 327,912 outputs
Outputs of similar age from BMC Anesthesiology
#22
of 55 outputs
Altmetric has tracked 23,094,276 research outputs across all sources so far. This one is in the 19th percentile – i.e., 19% of other outputs scored the same or lower than it.
So far Altmetric has tracked 1,516 research outputs from this source. They receive a mean Attention Score of 3.2. This one is in the 33rd percentile – i.e., 33% of its peers scored the same or lower than it.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 327,912 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 22nd percentile – i.e., 22% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 55 others from the same source and published within six weeks on either side of this one. This one is in the 32nd percentile – i.e., 32% of its contemporaries scored the same or lower than it.