ISRCTN71392921
Completed
未知
Innovative Monitoring in Paediatrics in Low-resource settings: In search of machine learning algorithms using vital signs and biomarkers
Stichting Amsterdam Institute for Global Health and Development (AIGHD)0 sites793 target enrollmentApril 25, 2022
Overview
- Phase
- 未知
- Intervention
- Not specified
- Conditions
- Early detection and prevention of critical illness in children in high dependence unit (HDU) in Malawian hospitals
- Sponsor
- Stichting Amsterdam Institute for Global Health and Development (AIGHD)
- Enrollment
- 793
- Status
- Completed
- Last Updated
- 2 years ago
Overview
Brief Summary
No summary available.
Investigators
Eligibility Criteria
Inclusion Criteria
- •Children aged 28 days – 60 months that will be admitted to the high dependency bays
Exclusion Criteria
- •1\. Children outside the age range
- •2\. Children not admitted to the high dependency bays/ward
- •3\. Children in which monitoring is technically not possible
- •4\. No informed consent was given on admission
Outcomes
Primary Outcomes
Not specified
Similar Trials
Not yet recruiting
Not Applicable
Innovative Monitoring in PAediatrics in Low-resource settings: an Aid to save lives? A pilot study assessing a risk predictive monitor.PaediatricsPACTR202401873429493Kamuzu University of Health Sciences200
Recruiting
Not Applicable
Home-monitoring in pediatric chronic diseaseSevere overweight, fatigue, sickle cell disease, asthma, cystic fibrosisNL-OMON21018.A. (Collaboration Juliana Children’s Hospital & CHDR)180
Recruiting
Not Applicable
Monitoring Key Activity and Physiology of Neonates in Intensive CareNeonatal SeizureNCT04831242Cambridge University Hospitals NHS Foundation Trust48
Not yet recruiting
Not Applicable
Software based affordable screening for newborns and young childreCTRI/2022/11/047688Algorithmic Biologics Private Limited
Completed
Not Applicable
I-BALL 2: Non-invasive Disease Monitoring in Infants with Cystic FibrosisNL-OMON49034Erasmus MC, Universitair Medisch Centrum Rotterdam120