TY - JOUR
T1 - Ubiquity of models describing inspiratory effort dynamics in patients on pressure support ventilation
AU - Knopp, Jennifer L.
AU - Chiew, Yeong Shiong
AU - Georgopoulos, Dimitrios
AU - Shaw, Geoffrey M.
AU - Chase, J. Geoffrey
N1 - Publisher Copyright:
© 2024
PY - 2024/3
Y1 - 2024/3
N2 - Mechanical Ventilation (MV) is an important therapy in the intensive care unit (ICU). Assisted spontaneous breathing (ASB) MV modes are a key and growing part of MV care, as they require less sedation and help avoid muscle atrophy. Equally, a lack of standardised approaches to MV care has led to the rise of model-based methods, which typically cannot estimate spontaneous breathing (SB) efforts, and are thus not able to be used for ASB MV. To address this issue, several models of SB effort have been created, though they require specialised added sensors and/or maneuvers. ►This research utilises a unique observational clinical dataset, which includes esophageal and gastric pressure measurements not typically taken in the ICU for N=6 patients. These measurements enable more direct model-based estimation of muscular pressure effort in SB MV patients. The data is analysed for all 6 patients for 3 models which include dynamics common to the current models. Models are assessed based on model fit. ►The results show all 3 models are unable to capture dynamics in 2 patients due to added muscular dynamics in their breathing, violating assumptions in the model dynamics or constraints. These results indicate the need for more flexible models and associated identification methods to better capture these dynamics.
AB - Mechanical Ventilation (MV) is an important therapy in the intensive care unit (ICU). Assisted spontaneous breathing (ASB) MV modes are a key and growing part of MV care, as they require less sedation and help avoid muscle atrophy. Equally, a lack of standardised approaches to MV care has led to the rise of model-based methods, which typically cannot estimate spontaneous breathing (SB) efforts, and are thus not able to be used for ASB MV. To address this issue, several models of SB effort have been created, though they require specialised added sensors and/or maneuvers. ►This research utilises a unique observational clinical dataset, which includes esophageal and gastric pressure measurements not typically taken in the ICU for N=6 patients. These measurements enable more direct model-based estimation of muscular pressure effort in SB MV patients. The data is analysed for all 6 patients for 3 models which include dynamics common to the current models. Models are assessed based on model fit. ►The results show all 3 models are unable to capture dynamics in 2 patients due to added muscular dynamics in their breathing, violating assumptions in the model dynamics or constraints. These results indicate the need for more flexible models and associated identification methods to better capture these dynamics.
KW - Decision support
KW - Mechanical ventilation
KW - Modelling
KW - Spontaneous breathing
KW - System identification
UR - https://www.scopus.com/pages/publications/85186901604
U2 - 10.1016/j.ifacsc.2024.100250
DO - 10.1016/j.ifacsc.2024.100250
M3 - Article
AN - SCOPUS:85186901604
SN - 2468-6018
VL - 27
JO - IFAC Journal of Systems and Control
JF - IFAC Journal of Systems and Control
M1 - 100250
ER -