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Circadian Dysrhythmia clinical trials

View clinical trials related to Circadian Dysrhythmia.

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NCT ID: NCT06411561 Not yet recruiting - Dementia Clinical Trials

A Multi-Modal Combination Intervention to Promote Cognitive Function in Older Intensive Care Unit Survivors

SLEEP-COG
Start date: July 1, 2024
Phase: N/A
Study type: Interventional

Up to 25% of intensive care unit (ICU) survivors experience cognitive impairment comparable in severity to mild Alzheimer's disease and related dementias after hospital discharge. Older ICU survivors (ages 60 and older) are at highest risk for delirium and subsequent cognitive impairment, which contribute to higher risk for cognitive decline related to Alzheimer's disease and related dementias. Sleep and activity are essential for recovery from critical illness, yet ICU survivors experience both sleep deficiency and profound inactivity. About 75-80% of ICU patients experience circadian dysrhythmia, which contributes to cognitive decline and increases likelihood of developing Alzheimer's disease and related dementias. The scientific premises of the proposed study are: 1) a combined sleep promotion and cognitive training intervention will have synergistic effects to mitigate the risk of cognitive impairment and development of Alzheimer's disease and related dementias in older ICU survivors; and 2) chronotherapeutic timing of interventions (i.e., adjusting timing of interventions according to circadian rhythm) may improve intervention efficacy.

NCT ID: NCT05807178 Not yet recruiting - Clinical trials for Circadian Dysrhythmia

Enhancement of Circadian Rhythms in ICU Patients Through Light Intervention

Start date: December 1, 2024
Phase: N/A
Study type: Interventional

The investigators will examine the effects of dynamic light therapy on circadian rhythms in intensive care unit (ICU) patients. In a randomized controlled trial (RCT), they will investigate the effects of a specific light algorithm on rhythms of serum melatonin, clock gene expression, the proteome, and metabolome, compared to standard hospital lighting, supported by the data science algorithms to improve vital-based algorithms with light interventions.