Literature DB >> 27482773

Clinical Performance and Safety of Closed-Loop Systems: A Systematic Review and Meta-analysis of Randomized Controlled Trials.

Etrusca Brogi1, Shantale Cyr, Roy Kazan, Francesco Giunta, Thomas M Hemmerling.   

Abstract

Automated systems can improve the stability of controlled variables and reduce the workload in clinical practice without increasing the risks to patients. We conducted this review and meta-analysis to assess the clinical performance of closed-loop systems compared with manual control. Our primary outcome was the accuracy of closed-loop systems in comparison with manual control to maintain a given variable in a desired target range. The occurrence of overshoot and undershoot episodes was the secondary outcome. We retrieved randomized controlled trials on accuracy and safety of closed-loop systems versus manual control. Our primary outcome was the percentage of time during which the system was able to maintain a given variable (eg, bispectral index or oxygen saturation) in a desired range or the proportion of the target measurements that was within the required range. Our secondary outcome was the percentage of time or the number of episodes that the controlled variable was above or below the target range. The standardized mean difference and 95% confidence interval (CI) were calculated for continuous outcomes, whereas the odds ratio and 95% CI were estimated for dichotomous outcomes. Thirty-six trials were included. Compared with manual control, automated systems allowed better maintenance of the controlled variable in the anesthesia drug delivery setting (95% CI, 11.7%-23.1%; percentage of time, P < 0.0001, number of studies: n = 15), in patients with diabetes mellitus (95% CI, 11.5%-30.9%; percentage of time, P = 0.001, n = 8), and in patients mechanically ventilated (95% CI, 1.5%-23.1%; percentage of time, P = 0.03, n = 8). Heterogeneity among the studies was high (>75%). We observed a significant reduction of episodes of overshooting and undershooting when closed-loop systems were used. The use of automated systems can result in better control of a given target within a selected range. There was a decrease of overshooting or undershooting of a given target with closed-loop systems.

Entities:  

Mesh:

Substances:

Year:  2017        PMID: 27482773     DOI: 10.1213/ANE.0000000000001372

Source DB:  PubMed          Journal:  Anesth Analg        ISSN: 0003-2999            Impact factor:   5.108


  14 in total

1.  Optimizing Robust PID Control of Propofol Anesthesia for Children: Design and Clinical Evaluation.

Authors:  Klaske van Heusden; Kristian Soltesz; Erin Cooke; Sonia Brodie; Nicholas West; Matthias Gorges; J Mark Ansermino; Guy A Dumont
Journal:  IEEE Trans Biomed Eng       Date:  2019-02-08       Impact factor: 4.538

2.  Anesthesiology, automation, and artificial intelligence.

Authors:  John C Alexander; Girish P Joshi
Journal:  Proc (Bayl Univ Med Cent)       Date:  2017-12-05

3.  A Century of Technology in Anesthesia & Analgesia.

Authors:  Jane S Moon; Maxime Cannesson
Journal:  Anesth Analg       Date:  2022-07-15       Impact factor: 6.627

4.  Anesthetic Management Using Multiple Closed-loop Systems and Delayed Neurocognitive Recovery: A Randomized Controlled Trial.

Authors:  Alexandre Joosten; Joseph Rinehart; Aurélie Bardaji; Philippe Van der Linden; Vincent Jame; Luc Van Obbergh; Brenton Alexander; Maxime Cannesson; Susana Vacas; Ngai Liu; Hichem Slama; Luc Barvais
Journal:  Anesthesiology       Date:  2020-02       Impact factor: 7.892

Review 5.  Oxygen Toxicity in Critically Ill Adults.

Authors:  Chad H Hochberg; Matthew W Semler; Roy G Brower
Journal:  Am J Respir Crit Care Med       Date:  2021-09-15       Impact factor: 30.528

Review 6.  Recent advances in the technology of anesthesia.

Authors:  Christian Seger; Maxime Cannesson
Journal:  F1000Res       Date:  2020-05-18

7.  Automated Oxygen Delivery in Hospitalized Patients with Acute Respiratory Failure: A Pilot Study.

Authors:  Foteini Malli; Stelios Boutlas; Nick Lioufas; Konstantinos I Gourgoulianis
Journal:  Can Respir J       Date:  2019-02-03       Impact factor: 2.409

Review 8.  Remote Surveillance Technologies: Realizing the Aim of Right Patient, Right Data, Right Time.

Authors:  Kyan C Safavi; William Driscoll; Jeanine P Wiener-Kronish
Journal:  Anesth Analg       Date:  2019-09       Impact factor: 5.108

9.  How It Started, How It Is Going: The Future of Artificial Pancreas Systems (Automated Insulin Delivery Systems).

Authors:  Dana Lewis
Journal:  J Diabetes Sci Technol       Date:  2021-07-05

10.  Transversus abdominis plane block reduces remifentanil and propofol consumption, evaluated by closed-loop titration guided by bispectral index.

Authors:  Jiahai Ma; Xue-Yan Wang; Qiao-Xia Sun; Jon Zhou; Tao Li; Mei-Ru Jiang; Gang-Gang Liu; Hong Liu
Journal:  Exp Ther Med       Date:  2018-09-07       Impact factor: 2.447

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.