Blood markers to predict delirium in older adults with heart failure
Compares blood markers for spotting delirium in older adults with heart failure.
Plain-language title generated from the registry record
Registry title: Delirium and Heart Failure
Key facts
- Where
- Cairo, EgyptSee the site
Where in Egypt
- Ain Shams University HospitalsCairo, EgyptNo longer taking part
Questions to ask the study team
- How often do I need to come in, and for how long each time?
- Are travel costs paid?
- Can I keep my own doctor?
- What happens if I want to stop?
Trial details
- Who runs it
- Ain Shams University
- Trial code
- NCT07302737
- Record updated
- 24 December 2025
- Original description
Biomarkers such as Systemic Immune-Inflammation Index (SII) and TG/Glucose Ratio (TyG) have shown promise in predicting delirium, reflecting the roles of inflammation and metabolic disturbances in its pathophysiology. This study aims to compare the predictive value of SII and the TyG ratio among other chemical and physiological biomarkers for diagnosing delirium and detecting its severity in older adults with heart failure. These biomarkers reflect different pathophysiological pathways implicated in delirium, including inflammation, cardiovascular stress, and metabolic dysfunction. By evaluating their individual and combined predictive abilities, this research seeks to identify potential tools for early identification of patients at high risk for deliriumRead full original descriptionShow less
Accuracy of Different Biomarkers for Predicting Delirium in Older Adults With Heart Failure
Biomarkers such as Systemic Immune-Inflammation Index (SII) and TG/Glucose Ratio (TyG) have shown promise in predicting delirium, reflecting the roles of inflammation and metabolic disturbances in its pathophysiology. This study aims to compare the predictive value of SII and the TyG ratio among other chemical and physiological biomarkers for diagnosing delirium and detecting its severity in older adults with heart failure. These biomarkers reflect different pathophysiological pathways implicated in delirium, including inflammation, cardiovascular stress, and metabolic dysfunction. By evaluating their individual and combined predictive abilities, this research seeks to identify potential tools for early identification of patients at high risk for delirium
Inclusion: Heart failure stage C.
Exclusion: Ongoing Treatment with Immunosuppressants, or corticosteroids; cognitive impairment; Major Neurological Conditions: (e.g., stroke, traumatic brain injury); Hematological diseases that affect platelet, neutrophil, and lymphocyte counts; Cardiogenic Shock; Sepsis.