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Mei, L., Chen, W., Zou, Y., Liu, Y., He, Y. and Li, X. (2024) Clinical Value of Cardiopulmonary Combined Ultrasound Examination and BP Neural Network Prediction Model in the Evaluation of Mechanical Ventilation Weaning in Neonates with Severe Hypoxemia. Chinese Journal of Emergency Resuscitation and Disaster Medicine, 19, 368-373.

has been cited by the following article:

• TITLE: Evaluation and Research Progress of Neonatal Ventilator Weaning Strategies

  AUTHORS: Lanxin Song, Xiaofang Zhu

  KEYWORDS: Neonate, Mechanical Ventilation, Weaning Assessment, Weaning Strategy

  JOURNAL NAME: Journal of Biosciences and Medicines, Vol.13 No.9, September 3, 2025

  ABSTRACT: With the continuous advancement of neonatal intensive care technology, mechanical ventilation has become an important means of neonatal respiratory support therapy. Prolonged mechanical ventilation can lead to ventilator-related problems, lung injury, respiratory muscle fatigue, etc., increasing the incidence of chronic lung disease and the risk of death in neonates; premature weaning can easily lead to weaning failure and increase the risk of re-intubation or repeated intubation. Rationally assessing the timing of weaning and formulating a scientific weaning strategy have become important issues in the management of neonatal respiratory support. This article systematically reviews the latest research progress on the main factors affecting the success of neonatal weaning, clinical evaluation methods, and weaning strategies, aiming to provide evidence-based support for clinicians, optimize the weaning process, improve the success rate of weaning, reduce the occurrence of related complications, and improve neonatal prognosis.