This clinical trial focuses on testing the efficacy of different digital interventions to promote re-engagement in cancer-related long-term follow-up care for adolescent and young adult (AYA) survivors of childhood cancer.
Delirium is highly prevalent and very bad for patients with dementia. Delirium is a dangerous medical condition that occurs in 6-38% of older Emergency Department patients and 70% of ICU patients. A person who develops delirium in the ED or hospital has a 12 times higher odds of being newly diagnosed with dementia in the next year compared to a similar patient who does not become delirious. Delirium is especially dangerous for persons living with Alzheimer Disease and Related Dementias (AD/ADRD). Persons living with ADRD have an almost 50% chance of developing delirium in the hospital. Clinicians are bad at recognizing delirium. A recent systematic review led by the Geriatric Emergency Care Applied Research network (NIH funded) found that current delirium screening tools are at most 64% sensitive, meaning that physicians can identify some phenotypes of delirium well, but cannot easily rule out delirium in acutely ill older patients. The investigators propose integrating wrist biosensors into the emergency management of older adults with dementia. The investigators will monitor heart rate variability, movement, and electrodermal activity (electrical activity of at the level of the skin) to determine if an array of biosensors more sensitive to delirium than current verbal screening tools.
Delirium Identification in Older Patients With Alzheimer's and Other Related Dementias In the Emergency Department Using Wrist Accelerometer Biosensors and Machine Learning
Researchers look for people who fit a certain description, called eligibility criteria. Some examples of these criteria are a person's general health condition or prior treatments.
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Sponsor: Ohio State University
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