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Biomarkers in delirium: A systematic review
Suzanne S Dunne1, J Calvin Coffey1, Swiri Konje1
1Centre for Interventions in Infection, Inflammation and Immunity (4i) and School of Medicine, University of Limerick, Limerick, Ireland.
Biomarkers show potential for diagnosing delirium, a common condition impacting hospital stays and outcomes. Current evidence lacks a definitive marker, but further research with standardized methods may clarify their diagnostic and prognostic value.
Area of Science:
- Neuroscience
- Biochemistry
- Clinical Medicine
Background:
- Delirium is a prevalent neuropsychiatric disorder linked to extended hospitalization, increased morbidity, and mortality.
- Accurate diagnosis of delirium is often challenging due to variable presentations and the absence of standardized diagnostic tools.
- Identifying reliable biomarkers is crucial for improving delirium detection and patient outcomes.
Purpose of the Study:
- To systematically review and examine biomarkers as potential diagnostic or prognostic indicators for delirium.
- To provide a foundation for future research into delirium biomarkers.
- To assess the current evidence supporting biomarker use in delirium diagnosis.
Main Methods:
- A systematic literature review was conducted for studies published between January 2000 and June 2019.
- Searches encompassed major databases including PubMed, Web of Science, CINAHL, EMBASE, COCHRANE, and Medline.
- Seventy-three observational studies assessing fourteen different biomarkers met the inclusion criteria.
Main Results:
- A total of 2082 relevant papers were identified, with 73 meeting inclusion criteria.
- Various biomarkers were assessed, but no single marker demonstrated sufficient evidence for routine diagnostic use.
- Study methodologies, including delirium assessment tools (DSM criteria, CAM, CAM-ICU) and severity scales (DRS), exhibited significant heterogeneity.
Conclusions:
- Current evidence does not support the use of any single biomarker for delirium diagnosis.
- Certain biomarkers showed promising associations and warrant further investigation in future studies.
- Standardization of clinical assessment methods and consideration of confounders like inflammation and comorbidities are recommended for future research.
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