Literature DB >> 28203792

Accuracy and precision of non-invasive cardiac output monitoring devices in perioperative medicine: a systematic review and meta-analysis†.

A Joosten1, O Desebbe2, K Suehiro3, L S-L Murphy4, M Essiet5, B Alexander6, M-O Fischer7,8, L Barvais1, L Van Obbergh1, D Maucort-Boulch9, M Cannesson10.   

Abstract

Cardiac output (CO) measurement is crucial for the guidance of therapeutic decisions in critically ill and high-risk surgical patients. Newly developed completely non-invasive CO technologies are commercially available; however, their accuracy and precision have not recently been evaluated in a meta-analysis. We conducted a systematic search using PubMed, Cochrane Library of Clinical Trials, Scopus, and Web of Science to review published data comparing CO measured by bolus thermodilution with commercially available non-invasive technologies including pulse wave transit time, non-invasive pulse contour analysis, thoracic electrical bioimpedance/bioreactance, and CO2 rebreathing. The non-invasive CO technology was considered acceptable if the pooled estimate of percentage error was <30%, as previously recommended. Using a random-effects model, sd, pooled mean bias, and mean percentage error were calculated. An I2 statistic was also used to evaluate the inter-study heterogeneity. A total of 37 studies (1543 patients) were included. Mean CO of both methods was 4.78 litres min−1. Bias was presented as the reference method minus the tested methods in 15 studies. Only six studies assessed the random error (repeatability) of the tested device. The overall random-effects pooled bias (limits of agreement) and the percentage error were −0,13 [−2.38 , 2.12] litres min−1 and 47%, respectively. Inter-study sensitivity heterogeneity was high (I2=83%, P<0.001). With a wide percentage error, completely non-invasive CO devices are not interchangeable with bolus thermodilution. Additional studies are warranted to demonstrate their role in improving the quality of care.

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Year:  2017        PMID: 28203792     DOI: 10.1093/bja/aew461

Source DB:  PubMed          Journal:  Br J Anaesth        ISSN: 0007-0912            Impact factor:   9.166


  43 in total

1.  Comparison between hemodynamic effects of propofol and thiopental during general anesthesia induction with remifentanil infusion: a double-blind, age-stratified, randomized study.

Authors:  Hideki Hino; Tadashi Matsuura; Yuki Kihara; Shogo Tsujikawa; Takashi Mori; Kiyonobu Nishikawa
Journal:  J Anesth       Date:  2019-06-21       Impact factor: 2.078

2.  Accuracy and precision of non-invasive cardiac output monitoring by electrical cardiometry: a systematic review and meta-analysis.

Authors:  M Sanders; S Servaas; C Slagt
Journal:  J Clin Monit Comput       Date:  2019-06-07       Impact factor: 2.502

3.  The accuracy and trending ability of cardiac index measured by the fourth-generation FloTrac/Vigileo system™ and the Fick method in cardiac surgery patients.

Authors:  Takuma Maeda; Eisuke Hamaguchi; Naoko Kubo; Akira Shimokawa; Hiroko Kanazawa; Yoshihiko Ohnishi
Journal:  J Clin Monit Comput       Date:  2018-11-07       Impact factor: 2.502

4.  Impact of continuous non-invasive blood pressure monitoring on hemodynamic fluctuation during general anesthesia: a randomized controlled study.

Authors:  Takashi Juri; Koichi Suehiro; Aya Kimura; Akira Mukai; Katsuaki Tanaka; Tokuhiro Yamada; Takashi Mori; Kiyonobu Nishikawa
Journal:  J Clin Monit Comput       Date:  2018-03-06       Impact factor: 2.502

5.  Stroke volume and cardiac output measurement in cardiac patients during a rehabilitation program: comparison between tonometry, impedancemetry and echocardiography.

Authors:  Alicia Gonzalez-Represas; Laurent Mourot
Journal:  Int J Cardiovasc Imaging       Date:  2019-12-16       Impact factor: 2.357

Review 6.  Automated systems for perioperative goal-directed hemodynamic therapy.

Authors:  Sean Coeckelenbergh; Cedrick Zaouter; Brenton Alexander; Maxime Cannesson; Joseph Rinehart; Jacques Duranteau; Philippe Van der Linden; Alexandre Joosten
Journal:  J Anesth       Date:  2019-09-25       Impact factor: 2.078

Review 7.  Noninvasive Monitoring and Potential for Patient Outcome.

Authors:  Susana Vacas; Maxime Cannesson
Journal:  J Cardiothorac Vasc Anesth       Date:  2019-08       Impact factor: 2.628

8.  Pre-anesthetic stroke volume variation can predict cardiac output decrease and hypotension during induction of general anesthesia.

Authors:  Takashi Juri; Koichi Suehiro; Sayaka Tsujimoto; Shigemune Kuwata; Akira Mukai; Katsuaki Tanaka; Tokuhiro Yamada; Takashi Mori; Kiyonobu Nishikawa
Journal:  J Clin Monit Comput       Date:  2017-06-24       Impact factor: 2.502

Review 9.  Alternatives to the Swan-Ganz catheter.

Authors:  Daniel De Backer; Jan Bakker; Maurizio Cecconi; Ludhmila Hajjar; Da Wei Liu; Suzanna Lobo; Xavier Monnet; Andrea Morelli; Sheila Neinan Myatra; Azriel Perel; Michael R Pinsky; Bernd Saugel; Jean-Louis Teboul; Antoine Vieillard-Baron; Jean-Louis Vincent
Journal:  Intensive Care Med       Date:  2018-05-03       Impact factor: 17.440

10.  Change in Carotid Blood Flow and Carotid Corrected Flow Time Assessed by Novice Sonologists Fails to Determine Fluid Responsiveness in Spontaneously Breathing Intensive Care Unit Patients.

Authors:  Adeel Abbasi; Nader Azab; Mohammed Nayeemuddin; Alexandra Schick; Thomas Lopardo; Gary S Phillips; Roland C Merchant; Mitchell M Levy; Michael Blaivas; Keith A Corl
Journal:  Ultrasound Med Biol       Date:  2020-07-31       Impact factor: 2.998

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