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Clinical Trials/DRKS00028640
DRKS00028640
Completed
Not Applicable

Predicting morbidity and mortality of preterm infants by analyzing chest x-ray images at admission using deep learning algorithms

niversitätsklinikum des Saarlandes0 sites169 target enrollmentMay 3, 2022

Overview

Phase
Not Applicable
Intervention
Not specified
Conditions
Bronchopulmonary DysplasiaPrematurity
Sponsor
niversitätsklinikum des Saarlandes
Enrollment
169
Status
Completed
Last Updated
last year

Overview

Brief Summary

No summary available.

Registry
who.int
Start Date
May 3, 2022
End Date
TBD
Last Updated
last year
Study Type
Observational
Sex
All

Investigators

Sponsor
niversitätsklinikum des Saarlandes

Eligibility Criteria

Inclusion Criteria

  • Birth weight 400\-1000 g
  • \- Oxygen supply or respiratory support within 72 h
  • \- Basic vitamin A supplementation of 1000 IU/kg/day
  • \- Postnatal age \< 72 h
  • \- Minimal enteral feeding

Exclusion Criteria

  • Congenital malformations; congenital, non\-bacterial infections at the time of birth; severe peripartum asphyxia (umbilical artery pH \< 6\.8 \> 2 hours or persistent bradycardia (heart rate \< 100 beats/minute) associated with hypoxia \> 2 hours. Lack of parental consent and contraindications or hypersensitivity to the drug used, Vitadral®, are also exclusion criteria.

Outcomes

Primary Outcomes

Not specified

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