Actively Recruiting

Age: 18Years +
All Genders
NCT06667869

multipaRameter mOnitoring systeM for sedAtion iNThe ICu

Led by Pontificia Universidad Catolica de Chile · Updated on 2025-06-08

80

Participants Needed

2

Research Sites

95 weeks

Total Duration

On this page

Sponsors

P

Pontificia Universidad Catolica de Chile

Lead Sponsor

A

Agencia Nacional de Investigación y Desarrollo

Collaborating Sponsor

AI-Summary

What this Trial Is About

The administration of sedation in Intensive Care Units (ICU) is a vital and complex task, essential for the well-being of critically ill patients. Proper dosing is crucial, as both under-dosing and overdosing have adverse consequences for patients, including risks such as accidental extubation, ventilator disconnections, delirium, prolonged ventilation, ICU stays, and even increased mortality. Monitoring sedation levels is essential to maintain a balance in sedative administration. Clinical scales (RASS/SAS) are currently used as the reference method, but they have limitations. These scales may be inadequate when the patient is unresponsive or when neuromuscular blockers are used. An alternative is electroencephalography (EEG)-based monitors, though they also have limitations in accurately representing the level of hypnosis. The proposal is to develop an advanced multiparameter system called ROMANTIC, which utilizes machine learning algorithms to monitor sedation status continuously. The aim is for this system to surpass current techniques and provide a more accurate determination of sedation levels. ROMANTIC would incorporate a variety of variables, demographic, pharmacological, hemodynamic, respiratory, and EEG data, to predict sedation status in three categories: under-dosing, appropriate dosing, and overdosing. With ROMANTIC, clinical staff (users) are expected to be able to determine sedation levels more quickly and accurately, reducing patients' wake-up times and possibly decreasing the incidence of delirium. In the long term, this could result in fewer ICU bed days, less time on mechanical ventilation, cost savings, and reduced complications. At the end of the project, the goal is to have a prototype model or software that allows non-specialized staff (users) to quickly determine sedation levels in the ICU. This machine learning-based model targets hospitals with ICUs and mechanical ventilation to offer more efficient and cost-effective clinical care. ROMANTIC seeks to innovate in sedation monitoring, providing a more advanced and precise tool for the care of critically ill patients (beneficiaries) in the ICU.

CONDITIONS

Official Title

multipaRameter mOnitoring systeM for sedAtion iNThe ICu

Who Can Participate

Age: 18Years +
All Genders

Eligibility Criteria

Eligible

You may qualify if you...

  • Patients admitted to adult critical care units
  • Individuals over 18 years old
  • Requiring sedation for more than 24 hours
  • Patients needing mechanical ventilation for more than 24 hours
Not Eligible

You will not qualify if you...

  • Patients with neurological pathology as the cause of mechanical ventilation, including recovered cardiocirculatory arrest, fulminant liver failure, and neurocritical conditions (except subdural hematomas or subarachnoid hemorrhages)
  • Pregnancy
  • Presence of psychiatric or intellectual disability prior to hospitalization
  • Drug dependency
  • History of chronic liver damage with hepatic encephalopathy
  • Second period of mechanical ventilation during hospitalization
  • Early limitation of therapeutic effort
  • Patients under 18 years old

AI-Screening

AI-Powered Screening

Complete this quick 3-step screening to check your eligibility

1
2
3
+1

Trial Site Locations

Total: 2 locations

1

Hospital Dr. Sotero del Rio

Santiago, Metropolitana de Santiago, Chile, 7700642

Not Yet Recruiting

2

Hospital Clínico Pontificia Universidad Católica de Chile

Santiago, Santiago Metropolitan, Chile, 8330024

Actively Recruiting

Loading map...

Research Team

J

Juan C. Pedemonte, M.D.

CONTACT

How is the study designed?

Study Type

OBSERVATIONAL

Masking

N/A

Allocation

N/A

Model

N/A

Primary Purpose

N/A

Number of Arms

2

Not the Right Trial for You?

Explore thousands of other clinical trials that might be a better match.
Sign up to get personalized trial recommendations delivered to your inbox.

Already have an account? Log in here