TY - JOUR
T1 - Enhancing ICU Outcomes Through Intelligent Monitoring Systems
T2 - A Comparative Study on Ventilator-Associated Events
AU - Liu, Jui Fang
AU - Kang, Mei Ying
AU - Lin, Hui Ling
AU - Liu, Shih Feng
N1 - Publisher Copyright:
© 2024 by the authors.
PY - 2024/11/3
Y1 - 2024/11/3
N2 - Background: Using intelligent monitoring systems can potentially improve the identification and management of ventilator-associated events (VAEs). This single-center retrospective observational study evaluated the impact of implementing intelligent monitoring systems on the clinical outcomes of patients with VAEs in an ICU setting. Method: An intelligent VAE monitoring system was integrated into electronic medical records to continuously collect patient data and alert attending physicians when a ventilated patient met the criteria for a ventilator-associated condition, which was defined as an increase of at least three cm H2O in positive end expiratory pressure (PEEP), an increase of at least 0.20 in the fraction of inspired oxygen (FiO2), or the FiO2 being over baseline for at least two consecutive days. This study covered two phases, consisting of before using the intelligent monitoring system (2021–2022) and during its use (2023–2024). Results: The results showed that patients monitored with the intelligent system experienced earlier VAE detection (4.96 ± 1.86 vs. 7.77 ± 3.35 days, p < 0.001), fewer ventilator-associated condition (VAC) occurrences, and a shorter total duration of VACs. Additionally, the system significantly reduced ventilator days, antibiotic use, and 14-day mortality. Conclusions: Intelligent monitoring systems enhance VAE management, improve clinical outcomes, and provide valuable insights into the future of critical care medicine.
AB - Background: Using intelligent monitoring systems can potentially improve the identification and management of ventilator-associated events (VAEs). This single-center retrospective observational study evaluated the impact of implementing intelligent monitoring systems on the clinical outcomes of patients with VAEs in an ICU setting. Method: An intelligent VAE monitoring system was integrated into electronic medical records to continuously collect patient data and alert attending physicians when a ventilated patient met the criteria for a ventilator-associated condition, which was defined as an increase of at least three cm H2O in positive end expiratory pressure (PEEP), an increase of at least 0.20 in the fraction of inspired oxygen (FiO2), or the FiO2 being over baseline for at least two consecutive days. This study covered two phases, consisting of before using the intelligent monitoring system (2021–2022) and during its use (2023–2024). Results: The results showed that patients monitored with the intelligent system experienced earlier VAE detection (4.96 ± 1.86 vs. 7.77 ± 3.35 days, p < 0.001), fewer ventilator-associated condition (VAC) occurrences, and a shorter total duration of VACs. Additionally, the system significantly reduced ventilator days, antibiotic use, and 14-day mortality. Conclusions: Intelligent monitoring systems enhance VAE management, improve clinical outcomes, and provide valuable insights into the future of critical care medicine.
KW - infection-related ventilator condition
KW - intelligent monitoring
KW - ventilator-associated complication
KW - ventilator-associated condition
KW - ventilator-associated event
UR - http://www.scopus.com/inward/record.url?scp=85208471870&partnerID=8YFLogxK
U2 - 10.3390/jcm13216600
DO - 10.3390/jcm13216600
M3 - 文章
C2 - 39518741
AN - SCOPUS:85208471870
SN - 2077-0383
VL - 13
JO - Journal of Clinical Medicine
JF - Journal of Clinical Medicine
IS - 21
M1 - 6600
ER -