Article

[1]¿p#1 Biomarker- or Phenotype-Guided Sedation in the Intensive Care Unit: A Systematic Review and Meta-analysis of Patient-Centered Outcomes

2025-12-10

Abstract excerpt

<h4>Introduction: </h4> Current practices of sedation in intensive care units (ICUs) are inconsistent, often leading to over- or under-sedation, which are associated with adverse outcomes. Personalized sedation seeks to optimize regimens by incorporating individual characteristics, including pharmacogenomics, electroencephalogram (EEG) patterns, and disease phenotypes. This systematic review and meta-analysis summ...

Topics

Open a Topic to create a Post that cites this publication.

Identifiers and source

Literature Corpus work: bf35613b-2ca1-5e31-aab1-a1ad465f396a
DOI: 10.22541/au.176534115.55343207/v1

Open publication

Related research

Semantic proximity does not establish scientific evidence.

Click a neighbor to travelStep 1 · 12 closest

[1]¿p#1 Biomarker- or Phenotype-Guided Sedation in the Intensive Care Unit: A Systematic Review and Meta-analysis of Patient-Centered OutcomesDOI 10.22541/au.176534115.55343207/v1Read

From ICU Syndromes to ICU Subphenotypes: Consensus Report and Recommendations for Developing Precision Medicine in the ICU.Semantic proximity Read

Delirium and High Sedation Levels are Common in Critically Ill Patients with COVID-19 and Associated with Poor Long-Term OutcomesSemantic proximity Read

Delirium Severity Trajectories and Outcomes in ICU Patients. Defining a Dynamic Symptom Phenotype.Semantic proximity Read

Development and validation of a machine learning-based model for predicting delirium risk in postoperative brain tumor patients in the Intensive Care UnitSemantic proximity Read

Clinical phenotypes of delirium in patients admitted to the cardiac intensive care unit.Semantic proximity Read

Risk Factors, Symptomatology, and Predictors of Mortality among COVID-19 Inpatients Presenting with Delirium Symptoms in a Tertiary Hospital in the PhilippinesSemantic proximity Read

Analysis of Delirium in Intensive Care Patients using Bayesian NetworksSemantic proximity Read

Natural language processing diagnosed behavioural disturbance phenotypes in the intensive care unit: characteristics, prevalence, trajectory, treatment, and outcomes.Semantic proximity Read

Biological Age Acceleration and Inflammatory Burden Identify Older ICU Patients at Higher Risk of Delirium: A MIMIC-IV Study with eICU ValidationSemantic proximity Read

A Rolling-Window Framework for Dynamic Prediction of Delirium in Mechanically Ventilated ICU Patients: A Study Using MIMIC-IVSemantic proximity Read

Processed Electroencephalogram-Based Monitoring to Guide Sedation in Critically Ill Patients: A Systematic Review and International Expert Panel-Based Consensus RecommendationsSemantic proximity Read

Point-of-care electroencephalography for prediction of postoperative delirium in older adults undergoing elective surgery: protocol for a prospective cohort studySemantic proximity Read