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Muscle Pressure Estimation With Artificial Intelligence During Mechanical Ventilation

NCT05820347 · Status: COMPLETED · Phase: NA · Type: INTERVENTIONAL · Enrollment: 50

Last updated 2023-09-06

No results posted yet for this study

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.

Conditions

Interventions

DEVICE

Artificial Intelligence Estimation of Muscle Pressure during Mechanical Ventilation

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

Sponsors & Collaborators

  • Magnamed Tecnologia Medica S/A

    collaborator UNKNOWN

  • University of Sao Paulo General Hospital

    lead OTHER

Principal Investigators

  • Eduardo LV Costa, MD, PhD · University of Sao Paulo

  • Marcelo BP Amato, MD, PhD · University of Sao Paulo

Study Design

Allocation
NA
Purpose
DIAGNOSTIC
Masking
NONE
Model
SINGLE_GROUP

Eligibility

Min Age
18 Years
Sex
ALL
Healthy Volunteers
No

Timeline & Regulatory

Start
2022-08-26
Primary Completion
2023-07-18
Completion
2023-07-18

Countries

  • Brazil

Study Locations

More Related Trials

Entities

Diseases

Read the full study record

This page highlights key information. For complete eligibility criteria, study locations, investigator contacts, and the full protocol, visit the original record on ClinicalTrials.gov.

View NCT05820347 on ClinicalTrials.gov