Correlation between pressure muscle index and inspiratory effort levels during pressure support ventilation: based on ASL5000

doi:10.3969/j.issn.1006-7795.2024.02.007

Journal of Capital Medical University

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Correlation between pressure muscle index and inspiratory effort levels during pressure support ventilation: based on ASL5000

Miao Mingyue^1，2, Su Rui³, Zhou Yimin³, Tian Ye³, Yang Yanlin³, Zhang Linlin³, Zhou Jianxin^1，2*

1. Department of Intensive Care Unit, Beijing Shijitan Hospital, Capital Medical University, Beijing 100038, China; 2. Emergency and Critical Care Medical Center, Beijing Shijitan Hospital, Capital Medical University, Beijing 100038, China; 3. Department of Intensive Care Unit, Beijing Tiantan Hospital, Capital Medical University, Beijing 100070, China

Received:2023-12-19 Online:2024-04-25 Published:2024-04-25
Supported by:
This study was supported by Capital Research and Translational Application of Clinical Diagnosis and Treatment Technology(Z201100005520050), Clinical and Research Center Program of Capital Medical University (CMU-2023-45).

Abstract

Abstract: Objective To evaluate the correlation between pressure muscle index (PMI) and indicators reflecting inspiratory effort including percent of inspiratory muscle work of breathing (WOBmus%) and percent of inspiratory muscle pressure time product (PTPmus%) by using ASL5000. Methods The study was based on ASL5000, including 1 250 cases of patients with different levels of spontaneous breathing by adjusting 50 different lung model parameters and 25 different pressure support (PS) levels. The data of flow, airway pressure, and esophageal pressure-time waveform were analyzed offline. Spearman correlation analysis was performed on PMI and WOBmus%, PTPmus%. Results The significant differences were observed in PS levels, WOBmus% and PTPmus% among patients in different PMI groups. As PMI increased, PS level and driving pressure gradually decreased, and work of breathing of ventilator (WOBvent) also decreased. The Spearman correlation coefficient between PMI and WOBmus% was 0.874 (P<0.001), and between PMI and PTPmus% was 0.875 (P<0.001). Conclusion PMI shows good correlation between WOBmus% and PTPmus%, suggesting that PMI may be a non-invasive and effective indicator for guiding PS level settings. Further research is needed to investigate the applicability of PMI in different clinical scenarios and its validity in guiding PS level setting.

Key words: pressure muscle index, inspiratory effort, pressure support ventilation, ASL5000, correlation

CLC Number:

Miao Mingyue, Su Rui, Zhou Yimin, Tian Ye, Yang Yanlin, Zhang Linlin, Zhou Jianxin. Correlation between pressure muscle index and inspiratory effort levels during pressure support ventilation: based on ASL5000[J]. Journal of Capital Medical University, doi: 10.3969/j.issn.1006-7795.2024.02.007.

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[1]	Song Dejing, Gao Ran, Yang Yanlin, Zhang Linlin, Zhou Jianxin. The feasibility and validity of inspiratory muscle pressure index to assess inspiratory effort [J]. Journal of Capital Medical University, 2024, 45(2): 194-200.
[2]	Gao Ran, Zhou Jianxi. Dynamic monitoring of respiratory drive and inspiratory effort [J]. Journal of Capital Medical University, 2024, 45(2): 226-232.

Correlation between pressure muscle index and inspiratory effort levels during pressure support ventilation: based on ASL5000

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