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Dataset Information

Predictive parameters and model for extubation outcome in pediatric patients.


ABSTRACT:

Background

Prolonged mechanical ventilation is associated with significant morbidity in critically ill pediatric patients. In addition, extubation failure and deteriorating respiratory status after extubation contribute to increased morbidity. Well-prepared weaning procedures and accurate identification of at-risk patients using multimodal ventilator parameters are warranted to improve patient outcomes. This study aimed to identify and assess the diagnostic accuracy of single parameters and to develop a model that can help predict extubation outcomes.

Materials and methods

This prospective observational study was conducted at a university hospital between January 2021 and April 2022. Patients aged 1 month to 15 years who were intubated for more than 12 h and deemed clinicall

SUBMITTER: Charernjiratragul K 

PROVIDER: S-EPMC10106763 | biostudies-literature | 2023

REPOSITORIES: biostudies-literature