Muscle Pressure Estimation With Artificial Intelligence During Mechanical Ventilation
Validation of Inspiratory Muscle Pressure Estimation and Automated Detection of Asynchronies in Patients Under Assisted Mechanical Ventilation
1 other identifier
interventional
50
1 country
1
Brief Summary
The goal of this diagnostic study is to validate estimation of inspiratory muscle pressure by an artificial intelligence algorithm compared to the gold standard, the measure from an esophageal catheter balloon, in patients under assisted mechanical ventilation. The main questions it aims to answer are: • Are inspiratory muscle pressure estimates from an artificial intelligence algorithm accurate when compared to the direct measure from an esophageal balloon? Participants will be monitored with an esophageal balloon and with an artificial intelligence algorithm simultaneously, with inspiratory muscle pressure estimation during assisted mechanical ventilation with decremental levels of pressure support.
Trial Health
Trial Health Score
Automated assessment based on enrollment pace, timeline, and geographic reach
participants targeted
Target at P25-P50 for not_applicable
Started Aug 2022
1 active site
Health score is calculated from publicly available data and should be used for screening purposes only.
Trial Relationships
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Study Timeline
Key milestones and dates
Study Start
First participant enrolled
August 26, 2022
CompletedFirst Submitted
Initial submission to the registry
March 16, 2023
CompletedFirst Posted
Study publicly available on registry
April 19, 2023
CompletedPrimary Completion
Last participant's last visit for primary outcome
July 18, 2023
CompletedStudy Completion
Last participant's last visit for all outcomes
July 18, 2023
CompletedSeptember 6, 2023
March 1, 2023
11 months
March 16, 2023
September 4, 2023
Conditions
Keywords
Outcome Measures
Primary Outcomes (3)
Concordance between muscle pressure amplitude (in cmH2O) estimation by artificial intelligence and esophageal balloon
Analysis of the bias and limits of agreement (Bland-Altman plot) between muscle pressure estimated amplitude in cmH2O from artificial intelligence and measured by esophageal balloon.
4 hours
Correlation between muscle pressure amplitude estimation (in cmH2O) by artificial intelligence and esophageal balloon
Correlation, reported as R-squared and a correlation plot, between amplitude in cmH2O of muscle pressure estimation by artificial intelligence and esophageal balloon.
4 hours
Detection of initiation time and ending time of a spontaneous breathing cycle by artificial intelligence compared with esophageal balloon
Time difference (in ms) between initiation of a spontaneous breathing cycle and ending of a spontaneous breathing cycle between artificial intelligence and esophageal balloon.
4 hours
Secondary Outcomes (1)
Sensitivity and specificity of patient-ventilator asynchrony automated detection using the Artificial Intelligence Muscle Pressure estimator
4 hours
Study Arms (1)
Artificial Intelligence Estimation of Muscle Pressure during Mechanical Ventilation
OTHERAll included subjects will be monitored simultaneously with the esophageal balloon (gold standard) and with the artificial intelligence algorithm integrated in the mechanical ventilator. Electrical Impedance Tomography will be used to monitor ventilatory patterns during different degrees of spontaneous effort. First, a single intravenous bolus of neuromuscular blockade (succinylcholine 1mg/kg or rocuronium 1.2mg/kg) will be performed to measure respiratory system mechanics (compliance and resistance). In cases where rocuronium is used, a single dose of sugammadex 4mg/kg will be administered intravenously to reverse neuromuscular blockade after measuring compliance and resistance. After initiation of spontaneous breathing effort, pressure support will be titrated from 20 cmH2O to 2 cmH2O, in decremental steps during 20 minutes each. After completing titrating of pressure support, the esophageal balloon will be removed.
Interventions
Estimation of inspiratory muscle pressure by an artificial intelligence algorithm integrated in the mechanical ventilator (FlexiMag, Magnamed, Brazil).
Eligibility Criteria
You may qualify if:
- Patients under assisted or assist-control mechanical ventilation
You may not qualify if:
- Contraindication to esophageal catheter insertion (esophageal cancer or bleeding, esophageal fistula, skull base fracture, uncontrolled coagulopathies)
- Contraindication to transient neuromuscular blockade
- Bronchopleural fistula (persistent air leak)
- Hemodynamic instability (norepinephrine \> 1mcg/kg/min)
- Gestation
- Current sinus infection
- Refusal from patient's family of attending physician
- Palliative care
Contact the study team to confirm eligibility.
Sponsors & Collaborators
Study Sites (1)
Heart Institute, University of São Paulo
São Paulo, São Paulo, 05403900, Brazil
Related Publications (15)
Amato MB, Barbas CS, Medeiros DM, Magaldi RB, Schettino GP, Lorenzi-Filho G, Kairalla RA, Deheinzelin D, Munoz C, Oliveira R, Takagaki TY, Carvalho CR. Effect of a protective-ventilation strategy on mortality in the acute respiratory distress syndrome. N Engl J Med. 1998 Feb 5;338(6):347-54. doi: 10.1056/NEJM199802053380602.
PMID: 9449727BACKGROUNDAcute Respiratory Distress Syndrome Network; Brower RG, Matthay MA, Morris A, Schoenfeld D, Thompson BT, Wheeler A. Ventilation with lower tidal volumes as compared with traditional tidal volumes for acute lung injury and the acute respiratory distress syndrome. N Engl J Med. 2000 May 4;342(18):1301-8. doi: 10.1056/NEJM200005043421801.
PMID: 10793162BACKGROUNDLoring SH, Malhotra A. Driving pressure and respiratory mechanics in ARDS. N Engl J Med. 2015 Feb 19;372(8):776-7. doi: 10.1056/NEJMe1414218. No abstract available.
PMID: 25693019BACKGROUNDYoshida T, Torsani V, Gomes S, De Santis RR, Beraldo MA, Costa EL, Tucci MR, Zin WA, Kavanagh BP, Amato MB. Spontaneous effort causes occult pendelluft during mechanical ventilation. Am J Respir Crit Care Med. 2013 Dec 15;188(12):1420-7. doi: 10.1164/rccm.201303-0539OC.
PMID: 24199628BACKGROUNDYoshida T, Roldan R, Beraldo MA, Torsani V, Gomes S, De Santis RR, Costa EL, Tucci MR, Lima RG, Kavanagh BP, Amato MB. Spontaneous Effort During Mechanical Ventilation: Maximal Injury With Less Positive End-Expiratory Pressure. Crit Care Med. 2016 Aug;44(8):e678-88. doi: 10.1097/CCM.0000000000001649.
PMID: 27002273BACKGROUNDYoshida T, Amato MBP, Grieco DL, Chen L, Lima CAS, Roldan R, Morais CCA, Gomes S, Costa ELV, Cardoso PFG, Charbonney E, Richard JM, Brochard L, Kavanagh BP. Esophageal Manometry and Regional Transpulmonary Pressure in Lung Injury. Am J Respir Crit Care Med. 2018 Apr 15;197(8):1018-1026. doi: 10.1164/rccm.201709-1806OC.
PMID: 29323931BACKGROUNDMorais CCA, Koyama Y, Yoshida T, Plens GM, Gomes S, Lima CAS, Ramos OPS, Pereira SM, Kawaguchi N, Yamamoto H, Uchiyama A, Borges JB, Vidal Melo MF, Tucci MR, Amato MBP, Kavanagh BP, Costa ELV, Fujino Y. High Positive End-Expiratory Pressure Renders Spontaneous Effort Noninjurious. Am J Respir Crit Care Med. 2018 May 15;197(10):1285-1296. doi: 10.1164/rccm.201706-1244OC.
PMID: 29323536BACKGROUNDSousa MLEA, Magrans R, Hayashi FK, Blanch L, Kacmarek RM, Ferreira JC. Clusters of Double Triggering Impact Clinical Outcomes: Insights From the EPIdemiology of Patient-Ventilator aSYNChrony (EPISYNC) Cohort Study. Crit Care Med. 2021 Sep 1;49(9):1460-1469. doi: 10.1097/CCM.0000000000005029.
PMID: 33883458BACKGROUNDSousa MLA, Magrans R, Hayashi FK, Blanch L, Kacmarek RM, Ferreira JC. Predictors of asynchronies during assisted ventilation and its impact on clinical outcomes: The EPISYNC cohort study. J Crit Care. 2020 Jun;57:30-35. doi: 10.1016/j.jcrc.2020.01.023. Epub 2020 Jan 21.
PMID: 32032901BACKGROUNDBlanch L, Villagra A, Sales B, Montanya J, Lucangelo U, Lujan M, Garcia-Esquirol O, Chacon E, Estruga A, Oliva JC, Hernandez-Abadia A, Albaiceta GM, Fernandez-Mondejar E, Fernandez R, Lopez-Aguilar J, Villar J, Murias G, Kacmarek RM. Asynchronies during mechanical ventilation are associated with mortality. Intensive Care Med. 2015 Apr;41(4):633-41. doi: 10.1007/s00134-015-3692-6. Epub 2015 Feb 19.
PMID: 25693449BACKGROUNDLeCun Y, Bengio Y, Hinton G. Deep learning. Nature. 2015 May 28;521(7553):436-44. doi: 10.1038/nature14539.
PMID: 26017442BACKGROUNDPletsch-Assuncao R, Caleffi Pereira M, Ferreira JG, Cardenas LZ, de Albuquerque ALP, de Carvalho CRR, Caruso P. Accuracy of Invasive and Noninvasive Parameters for Diagnosing Ventilatory Overassistance During Pressure Support Ventilation. Crit Care Med. 2018 Mar;46(3):411-417. doi: 10.1097/CCM.0000000000002871.
PMID: 29189344BACKGROUNDBaydur A, Behrakis PK, Zin WA, Jaeger M, Milic-Emili J. A simple method for assessing the validity of the esophageal balloon technique. Am Rev Respir Dis. 1982 Nov;126(5):788-91. doi: 10.1164/arrd.1982.126.5.788.
PMID: 7149443BACKGROUNDLiao JJ. Sample size calculation for an agreement study. Pharm Stat. 2010 Apr-Jun;9(2):125-32. doi: 10.1002/pst.382.
PMID: 19507134BACKGROUNDMotta APG, Rigobello MCG, Silveira RCCP, Gimenes FRE. Nasogastric/nasoenteric tube-related adverse events: an integrative review. Rev Lat Am Enfermagem. 2021 Jan 8;29:e3400. doi: 10.1590/1518-8345.3355.3400. eCollection 2021.
PMID: 33439952BACKGROUND
MeSH Terms
Conditions
Condition Hierarchy (Ancestors)
Study Officials
- PRINCIPAL INVESTIGATOR
Eduardo LV Costa, MD, PhD
University of Sao Paulo
- STUDY CHAIR
Marcelo BP Amato, MD, PhD
University of Sao Paulo
Study Design
- Study Type
- interventional
- Phase
- not applicable
- Allocation
- NA
- Masking
- NONE
- Purpose
- DIAGNOSTIC
- Intervention Model
- SINGLE GROUP
- Sponsor Type
- OTHER
- Responsible Party
- SPONSOR
Study Record Dates
First Submitted
March 16, 2023
First Posted
April 19, 2023
Study Start
August 26, 2022
Primary Completion
July 18, 2023
Study Completion
July 18, 2023
Last Updated
September 6, 2023
Record last verified: 2023-03
Data Sharing
- IPD Sharing
- Will not share