Early prediction of clinical deterioration using remote multispectral camera monitoring and real-time analysis in children with congenital heart disease during postoperative management in the pediatric intensive care unit
Recruiting
- Conditions
- Congenital heart disease
- Registration Number
- DRKS00028263
- Lead Sponsor
- Deutsches Herzzentrum Berlin
- Brief Summary
Not available
- Detailed Description
Not available
Recruitment & Eligibility
- Status
- Recruiting
- Sex
- All
- Target Recruitment
- 400
Inclusion Criteria
Postoperative treatment in the pediatric intensive care unit after cardiac surgery for congenital heart defects
- Age at surgery <1 year
- Consent for study participation by legal guardians
Exclusion Criteria
- Patients after cardiac catheter intervention alone
- Patients after cardiac pacemaker interventions
- Patients with primary ECMO implantation
Study & Design
- Study Type
- observational
- Study Design
- Not specified
- Primary Outcome Measures
Name Time Method The aim is to use the prospectively obtained data to develop a model for the early detection of clinical deterioration after cardiac surgery in newborns and infants, which enables a real-time prediction of the individual patient's risk of complications.<br><br>Complications are defined here: reintubation, cardiopulmonary resuscitation, use of extracorporeal membrane oxygenation (ECMO), secondary chest opening/exploration, stroke, cerebral hemorrhage, seizure, death.
- Secondary Outcome Measures
Name Time Method The predictive power of the model is checked at different points in time before the onset of complications.