Advanced monitoring system for sedation in ICU patients

Sistema de monitorización multiparámetros Para sedación de Pacientes críticos en UCI (ROMANTIC: multipaRameter mOnitoring systeM for sedAtion iNThe ICu)

Observational Pontificia Universidad Catolica de Chile · NCT06667869

This study is testing a new monitoring system that uses machine learning to see if it can better track sedation levels in critically ill patients in the ICU compared to standard methods.

Quick facts

Study typeObservational
Enrollment80 (estimated)
Ages18 Years and up
SexAll
SponsorPontificia Universidad Catolica de Chile Academic / other
Locations2 sites (Santiago, Metropolitana de Santiago and 1 other locations)
Trial IDNCT06667869 on ClinicalTrials.gov

What this trial studies

This project aims to develop a multiparameter monitoring system called ROMANTIC that utilizes machine learning algorithms to continuously assess sedation levels in critically ill patients in the ICU. The study will collect various clinical, demographic, and pharmacological data from patients requiring sedation and mechanical ventilation for over 24 hours. The performance of this machine learning approach will be compared to traditional clinical sedation scales to improve the accuracy of sedation management. The study is divided into two phases: an observational cohort study followed by the development of a predictive model based on the collected data.

Who should consider this trial

Good fit: Ideal candidates for this study are adult patients over 18 years old who are admitted to critical care units and require sedation and mechanical ventilation for more than 24 hours.

Not a fit: Patients with neurological pathologies, psychiatric disabilities, or those under 18 years old may not benefit from this study.

Why it matters

Potential benefit: If successful, this system could significantly enhance the safety and effectiveness of sedation management in ICU patients, potentially reducing complications and improving outcomes.

How similar studies have performed: While the use of machine learning in sedation monitoring is an emerging field, similar studies have shown promise in improving patient outcomes, indicating potential success for this novel approach.

Eligibility criteria

Show full inclusion / exclusion criteria
Inclusion Criteria:

* 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

Exclusion Criteria:

* 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

Where this trial is running

Santiago, Metropolitana de Santiago and 1 other locations

Study contacts

How to participate

  1. Review the eligibility criteria above with your treating physician.
  2. Visit the official trial page on ClinicalTrials.gov for the most current contact information and recruitment status.
  3. Contact the listed study coordinator or principal investigator to request pre-screening. Pre-screening is free and never obligates you to enroll.
Conditions Sedation ComplicationIntensive Care UnitMachine LearningDeliriumMechanical ventilationMonitoring
Last reviewed 2026-06-13 by the Find a Trial editorial team. Information on this page is for educational purposes and is not medical advice. Always consult qualified healthcare professionals about clinical trial participation.