Development of a Multimodal Index to Improve the Predictive Value of Success in Weaning From Mechanical Ventilation

February 6, 2024 updated by: Candelaria de Haro, Corporacion Parc Tauli

Weaning from mechanical ventilation (MV) is a complex process in which patients are liberated from the ventilator. Prolongued weaning and weaning failure, defined as the need for reintubation, have different adverse effects, including prolongation of MV, intensive care unit (ICU) and hospital stay, and are also associated with increased incidence of ventilator-associated pneumonia and high mortality. The rate of weaning failure is high, even when the classic extubation criteria are met, so it is necessary to improve scores that allow predicting and determining the ideal time for MV withdrawal.

The aim of this study is to design a new multimodal index to predict and optimize weaning results in a personalized way, based on the use and interpretation of data derived from continuous monitoring of critically ill patients. The new multimodal index, in addition to classical respiratory parameters, will include parameters related to patient-ventilator interaction (asynchronies), diaphragmatic function, cardiovascular status and autonomic nervous system function (ANS).

The investigators have designed a prospective observational study that will include 126 critical patients from a medical-surgical ICU that meet the classical criteria for weaning. The management of the patients, as well as the weaning process, will be carried out following the usual protocol. In addition to the classical weaning predictor data, data on the patient-ventilator interaction and the function of the autonomic nervous system will be collected by means of specific software (BetterCare). Cardiovascular and diaphragmatic function will be evaluated using ultrasound. Based on the advanced analysis of data from different devices collected throughout the mechanical ventilation period, it will be designed a "personalized" weaning score that should improve the accuracy of the decision-making process and therefore reduce morbidity and mortality. Additional benefits would include lowering health care costs without increasing adverse events.

Study Overview

Status

Recruiting

Intervention / Treatment

Study Type

Observational

Enrollment (Estimated)

126

Contacts and Locations

This section provides the contact details for those conducting the study, and information on where this study is being conducted.

Study Locations

    • Barcelona
      • Sabadell, Barcelona, Spain, 08208
        • Recruiting
        • Candelaria De Haro
        • Contact:

Participation Criteria

Researchers look for people who fit a certain description, called eligibility criteria. Some examples of these criteria are a person's general health condition or prior treatments.

Eligibility Criteria

Ages Eligible for Study

14 years and older (Adult, Older Adult)

Accepts Healthy Volunteers

No

Sampling Method

Probability Sample

Study Population

Patients admitted to the ICU of the Parc Taulí Universitary Hospital undergoing MV and starting the weaning process according to the protocol established for usual clinical care practice.

Description

Inclusion Criteria:

  • Patients with MV> 24 hours.
  • Patients with orotracheal tube.
  • Patients who meet the classic criteria of weaning from the MV defined as:

Improvement or resolution of the cause required for MV. PaO2> 60mmHg with FiO2≤0.4 and PEEP ≤8cm H2O. Glasgow Coma Score> 10 Temperature <38 ° C. Hemoglobin> 8g / dL No need for vasoactive drugs or at doses <5μg / kg / min Obtaining informed consent.

Exclusion Criteria:

  • Tracheostomy patients.
  • Patients with neurological pathology with involvement of the brainstem.

Study Plan

This section provides details of the study plan, including how the study is designed and what the study is measuring.

How is the study designed?

Design Details

  • Observational Models: Cohort
  • Time Perspectives: Prospective

What is the study measuring?

Primary Outcome Measures

Outcome Measure
Measure Description
Time Frame
Multimodal index for weaning prediction evaluation
Time Frame: 48 hours after mechanical ventilation withdrawal
Number of successful weanings evaluated through the new multi-modal index compared to the classic indexes
48 hours after mechanical ventilation withdrawal

Secondary Outcome Measures

Outcome Measure
Measure Description
Time Frame
Predictive value of patient-ventilator interaction
Time Frame: From day 1 of mechanical ventilation until 48 hours after mechanical ventilation withdrawal
association between asynchronies and weaning failure
From day 1 of mechanical ventilation until 48 hours after mechanical ventilation withdrawal

Collaborators and Investigators

This is where you will find people and organizations involved with this study.

Study record dates

These dates track the progress of study record and summary results submissions to ClinicalTrials.gov. Study records and reported results are reviewed by the National Library of Medicine (NLM) to make sure they meet specific quality control standards before being posted on the public website.

Study Major Dates

Study Start (Actual)

April 4, 2022

Primary Completion (Estimated)

April 1, 2024

Study Completion (Estimated)

December 1, 2024

Study Registration Dates

First Submitted

August 31, 2020

First Submitted That Met QC Criteria

September 13, 2020

First Posted (Actual)

September 18, 2020

Study Record Updates

Last Update Posted (Actual)

February 7, 2024

Last Update Submitted That Met QC Criteria

February 6, 2024

Last Verified

February 1, 2024

More Information

Terms related to this study

Other Study ID Numbers

  • Multimodal Weaning

Drug and device information, study documents

Studies a U.S. FDA-regulated drug product

No

Studies a U.S. FDA-regulated device product

No

This information was retrieved directly from the website clinicaltrials.gov without any changes. If you have any requests to change, remove or update your study details, please contact register@clinicaltrials.gov. As soon as a change is implemented on clinicaltrials.gov, this will be updated automatically on our website as well.

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