Critical Illness, Death, Sudden
Conditions
Brief summary
CHAOS is based on the investigator's new and exciting results from pre-clinical and large longitudinal multi-center observational clinical studies of critically ill patients and asymptomatic community-based adults with little or no advanced disease. By integrating approaches from the physical, biological, computational, statistical and clinical sciences, this observational study will test the hypothesis that early diagnosis of subclinical signatures of critical illness encoded within physiological signals complements conventional clinical predictors by providing unique prognostic insight. The primary goal is to reduce mortality, morbidity and complications by early identification of individuals with brewing subclinical critical illness and adverse events before overt clinical presentation (e.g., cardiac arrest, arrhythmias, hemorrhage, respiratory failure, circulatory collapse). This will provide the necessary lead time for healthcare providers to deliver early, more effective and/or preventive therapies. Through innovative approaches, CHAOS also meets the challenge of medical errors to reduce missed diagnosis, misdiagnosis, preventable harm and variability in provider adherence to best practice guidelines. The goal is to validate predictive algorithms and identify subclinical signatures of illness, ranging from asymptomatic adults in the community to very sick patients in the hospital. The overall goal is to make healthcare more precise, effective, efficient, safe and timely while reducing costs, preventable harms and adverse events.
Interventions
None listed
Sponsors
University of Cincinnati
Indiana University
Johns Hopkins University
Study design
Observational model
COHORT
Time perspective
PROSPECTIVE
Eligibility
Sex/Gender
ALL
Age
18 Years to No maximum
Healthy volunteers
Yes
Inclusion criteria
* All patients age 18-100 years admitted to a bed or OR with telemetry monitoring capability will be included.
Exclusion criteria
* Children (individuals \<18 years of age).
Design outcomes
Primary
| Measure | Time frame |
|---|---|
| Time to Mortality | From date of randomization until the date of first documented progression or date of death from any cause, whichever came first, assessed up to 100 months |
| Duration of ICU/hospital stay | From date of randomization until the date of first documented progression or date of death from any cause, whichever came first, assessed up to 100 months |
Secondary
| Measure | Time frame |
|---|---|
| Rates of critical care transfer | through study completion, an average of 1 year |
| Non-fatal adverse events | through study completion, an average of 1 year |
| readmission to unit or hospital | 30 days |
Countries
United States
Contacts
Primary ContactDeeptankar DeMazumder, MD, PhD
Backup ContactDeeptankar DeMazumder, MD, PhD
Outcome results
None listed