Automating Delirium Severity in the ICU
The goal of this observational study is to develop a passive digital marker (PDM) for delirium severity and examine its performance in comparison to validated delirium severity tools in ICU patients \>50 years of age. The main questions it aims to answer are: * Is the trained convolutional neural network able to reliab
| Condition(s) | Intensive Care Unit Delirium, Encephalopathy, Delirium |
|---|---|
| Status | Recruiting |
| Study type | Observational |
| Summary | The goal of this observational study is to develop a passive digital marker (PDM) for delirium severity and examine its performance in comparison to validated delirium severity tools in ICU patients \>50 years of age. The main questions it aims to answer are: * Is the trained convolutional neural network able to reliably measure delirium severity. * Is the Passive Digital Marker able to accurately measure delirium severity * Is the Passive Digital Marker acceptable and usable by frontline ICU nurse clinicians, patients, and their identified proxies (i.e., caregivers). Participants will: * Study participation involves a video camera recording you 24 hours per day while you are a patient in the Intensive Care Unit (ICU). * Study staff will visit you 4 times each day you are in the ICU. You w |
| Who can participate | Inclusion Criteria: • Age \>50; * Estimated length of stay \>24 hours in ICU; and * Are not admitted for acute alcohol intoxication, drug (prescribed or illicit) overdose or withdrawal. Exclusion Criteria: * Admitted for acute alcohol intoxication, drug (prescribed or illicit) overdose or withdrawal. * Admitted for acute neuronal injury * Unable to communicate with research team due to sensory deficits (aphasic, blind, deaf) or language (does not speak English) |
| Ages | 50 Years |
| Sex | All |
| Lead sponsor | Mayo Clinic |
| Locations | Rochester, Minnesota, United States |
| Start date | 2023-01-15 |
| NCT ID | NCT06172491 |
| Official listing | https://clinicaltrials.gov/study/NCT06172491 |