NCT05820347

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

87
On Track

Trial Health Score

Automated assessment based on enrollment pace, timeline, and geographic reach

Enrollment
50

participants targeted

Target at P25-P50 for not_applicable

Timeline
Completed

Started Aug 2022

Geographic Reach
1 country

1 active site

Status
completed

Health score is calculated from publicly available data and should be used for screening purposes only.

Trial Relationships

Click on a node to explore related trials.

Study Timeline

Key milestones and dates

Study Start

First participant enrolled

August 26, 2022

Completed
7 months until next milestone

First Submitted

Initial submission to the registry

March 16, 2023

Completed
1 month until next milestone

First Posted

Study publicly available on registry

April 19, 2023

Completed
3 months until next milestone

Primary Completion

Last participant's last visit for primary outcome

July 18, 2023

Completed
Same day until next milestone

Study Completion

Last participant's last visit for all outcomes

July 18, 2023

Completed
Last Updated

September 6, 2023

Status Verified

March 1, 2023

Enrollment Period

11 months

First QC Date

March 16, 2023

Last Update Submit

September 4, 2023

Conditions

Keywords

mechanical ventilationartificial intelligence

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

OTHER

All 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.

Device: Artificial Intelligence Estimation of Muscle Pressure during Mechanical Ventilation

Interventions

Estimation of inspiratory muscle pressure by an artificial intelligence algorithm integrated in the mechanical ventilator (FlexiMag, Magnamed, Brazil).

Also known as: Esophageal balloon measurements of Muscle Pressure, Transient Neuromuscular Blockade with Succinylcholine or Rocuronium to measure Respiratory Mechanics, Electrical Impedance Tomography Monitorization
Artificial Intelligence Estimation of Muscle Pressure during Mechanical Ventilation

Eligibility Criteria

Age18 Years+
Sexall
Healthy VolunteersNo
Age GroupsAdult (18-64), Older Adult (65+)

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

Location

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: 9449727BACKGROUND
  • Acute 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: 10793162BACKGROUND
  • Loring 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: 25693019BACKGROUND
  • Yoshida 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: 24199628BACKGROUND
  • Yoshida 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: 27002273BACKGROUND
  • Yoshida 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: 29323931BACKGROUND
  • Morais 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: 29323536BACKGROUND
  • Sousa 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: 33883458BACKGROUND
  • Sousa 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: 32032901BACKGROUND
  • Blanch 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: 25693449BACKGROUND
  • LeCun Y, Bengio Y, Hinton G. Deep learning. Nature. 2015 May 28;521(7553):436-44. doi: 10.1038/nature14539.

    PMID: 26017442BACKGROUND
  • Pletsch-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: 29189344BACKGROUND
  • Baydur 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: 7149443BACKGROUND
  • Liao JJ. Sample size calculation for an agreement study. Pharm Stat. 2010 Apr-Jun;9(2):125-32. doi: 10.1002/pst.382.

    PMID: 19507134BACKGROUND
  • Motta 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

Respiratory Insufficiency

Condition Hierarchy (Ancestors)

Respiration DisordersRespiratory Tract Diseases

Study Officials

  • Eduardo LV Costa, MD, PhD

    University of Sao Paulo

    PRINCIPAL INVESTIGATOR
  • Marcelo BP Amato, MD, PhD

    University of Sao Paulo

    STUDY CHAIR

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

Locations