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

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 - PICU-R

Status

Recruiting

Phases

Unknown

Study type

Observational

Source

DRKS

Registry ID

DRKS00028263

Enrollment

400

Registered

2022-02-24

Start date

2022-07-01

Completion date

Unknown

Last updated

2025-04-07

For informational purposes only — not medical advice. Sourced from public registries and may not reflect the latest updates. Terms

Conditions

Congenital heart disease

Interventions

Group 1: After admission to the intensive care unit, patients are filmed with a multispectral camera in addition to routine monitoring. The movement and perfusion patterns obtained from the image data

Eligibility

Sex/Gender

All

Age

No minimum to 1 Years

Inclusion criteria

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

Exclusion criteria: - Patients after cardiac catheter intervention alone - Patients after cardiac pacemaker interventions - Patients with primary ECMO implantation

Design outcomes

Primary

Measure	Time frame
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. Complications are defined here: reintubation, cardiopulmonary resuscitation, use of extracorporeal membrane oxygenation (ECMO), secondary chest opening/exploration, stroke, cerebral hemorrhage, seizure, death.	—

Measure

Time frame

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. Complications are defined here: reintubation, cardiopulmonary resuscitation, use of extracorporeal membrane oxygenation (ECMO), secondary chest opening/exploration, stroke, cerebral hemorrhage, seizure, death.

—

Secondary

Measure	Time frame
The predictive power of the model is checked at different points in time before the onset of complications.	—

Countries

Germany

Contacts

Public ContactAntonia Schulz

Deutsches Herzzentrum Berlin

aschulz@dhzb.de03045933400

Outcome results

None listed

Source: DRKS (via WHO ICTRP) · Data processed: Feb 4, 2026