ClinicalTrials.gov
public full text
Public Domain
PupillOmetry for Prediction of DelirIUM
Delirium in intensive care unit (ICU) is a serious event. It is associated with short-term complications (agitation, self-extubation, accidental removal of catheters, prolonged length of stay and ventilation), excess mortality, functional and cognitive impairment. It is particularly frequent in patients requiring mechanical ventilation but diagnosis is not easy. There are screening scales, but it is insufficiently used in clinical practice: Confusion Assessment Method for the Intensive Care Unit (CAM-ICU) or Intensive Care Delirium Screening Checklist (ICDSC). These scales are time consuming and require trained personnel. Automated pupillometry (AP) is a new device to objectively, rapidly, and reproducibly identify acute brain dysfunction. Recent data suggest that AP could be used to predict delirium in the ICU. This would need to be validated for routine use in the ICU. Evaluate AP parameters on day 3 of invasive mechanical ventilation as a predictive tool for CAM-ICU diagnosed delirium during the first 14 days of ICU stay. Study design: Prospective, multicenter, non-interventional cohort Measurement of the AP parameters at day 3 after ICU admission and their predictive performance for delirium: pupillary diameter, variation of the pupillary diameter, pupillary constriction speed, pupillary dilatation speed, photomotor reflex latency, NPi and symmetry of pupillary responses.
Conceptio Open Archive
Analyze & explore related research in Conceptio
Connect this record directly into your research workflow or AI agent. Explore citations across open repositories, query full text, and export structured proof bundles.
This document is indexed with metadata only: full text is not available in the archive for this record. Open the official source ↗
Related documents
- Family ICU Delirium Detection Study#853156
- INtestinal Failure, multiPle Organ Failure ANd CItrulline Assessment#1071934
- Detection and Classification of Levels of Consciousness Using Parietal EEG-fNIRS During Anesthesia#859243
- Copenhagen Head Injury Ciclosporin (CHIC) Study#860164
- CoMind Early Feasibility Study#995325
Record · ID 1088797
Retrieved via Conceptio: every document is proof-bundled with source, license, and retrieval metadata.
Retrieved via Conceptio: every document is proof-bundled with source, license, and retrieval metadata.
Bring this data into your agent: Connect via MCP or API · 20 free credits to start · no card required
Read the Docs → · View CLI source on GitHub · Conceptio Open Knowledge Archive
Read the Docs → · View CLI source on GitHub · Conceptio Open Knowledge Archive