TY - JOUR
T1 - Clinical decision support for ExtraCorporeal Membrane Oxygenation
T2 - Will we fly by wire?
AU - Pladet, Lara
AU - Luijken, Kim
AU - Fresiello, Libera
AU - dos Reis Miranda, Dinis
AU - Hermens, Jeannine A.
AU - Smeden, Maarten van
AU - Cremer, Olaf
AU - Donker, Dirk W.
AU - Meuwese, Christiaan L.
N1 - Funding Information:
The author(s) disclosed receipt of the following financial support for the research, authorship, and/or publication of this article: Primary source of funding: Stichting Gezondheidszorg Spaarneland (SGS) Fund, Zilveren Kruis Achmea.
Funding Information:
The authors thank Drs. A. Vleugelers for his contribution to the figures and Mr. M. Pladet, former F16 pilot and Boeing 737/747/777/787 captain for his contribution to the fly-by-wire section. The author(s) disclosed receipt of the following financial support for the research, authorship, and/or publication of this article: Primary source of funding: Stichting Gezondheidszorg Spaarneland (SGS) Fund, Zilveren Kruis Achmea.
Funding Information:
The author(s) declared the following potential conflicts of interest with respect to the research, authorship, and/or publication of this article: D.W. Donker from the institutional research cooperation of the Cardiovascular and Respiratory physiology group of the University of Twente with Maquet Critical Care AB, Solna, Sweden and Sonion Nederland BV, Hoofddorp, The Netherlands (no personal honoraria received). C. Meuwese received research funding from “Stichting Gezondheidszorg Spaarneland (SGS)” Fund and The Dutch Heart Foundation (Hartstichting). D. dos Reis Miranda has received honoraria for scientific presentations from Maquet Getinge and Xenios. For the remaining authors none were declared.
Publisher Copyright:
© The Author(s) 2023.
PY - 2023/5
Y1 - 2023/5
N2 - Prognostic modelling techniques have rapidly evolved over the past decade and may greatly benefit patients supported with ExtraCorporeal Membrane Oxygenation (ECMO). Epidemiological and computational physiological approaches aim to provide more accurate predictive assessments of ECMO-related risks and benefits. Implementation of these approaches may produce predictive tools that can improve complex clinical decisions surrounding ECMO allocation and management. This Review describes current applications of prognostic models and elaborates on upcoming directions for their clinical applicability in decision support tools directed at improved allocation and management of ECMO patients. The discussion of these new developments in the field will culminate in a futuristic perspective leaving ourselves and the readers wondering whether we may “fly ECMO by wire” someday.
AB - Prognostic modelling techniques have rapidly evolved over the past decade and may greatly benefit patients supported with ExtraCorporeal Membrane Oxygenation (ECMO). Epidemiological and computational physiological approaches aim to provide more accurate predictive assessments of ECMO-related risks and benefits. Implementation of these approaches may produce predictive tools that can improve complex clinical decisions surrounding ECMO allocation and management. This Review describes current applications of prognostic models and elaborates on upcoming directions for their clinical applicability in decision support tools directed at improved allocation and management of ECMO patients. The discussion of these new developments in the field will culminate in a futuristic perspective leaving ourselves and the readers wondering whether we may “fly ECMO by wire” someday.
KW - Digital twin
KW - ECLS
KW - Epidemiological- and computational modeling
KW - Extracorporeal life support (ECLS)
KW - Extracorporeal membrane oxygenation (ECMO)
KW - Fly by wire systems
KW - Prognostic models
UR - https://www.scopus.com/pages/publications/85153498980
U2 - 10.1177/02676591231163688
DO - 10.1177/02676591231163688
M3 - Review article
C2 - 37078916
AN - SCOPUS:85153498980
SN - 0267-6591
VL - 38
SP - 68
EP - 81
JO - Perfusion (United Kingdom)
JF - Perfusion (United Kingdom)
IS - 1_suppl
ER -