Evaluation of the clinical effect of an artificial intelligence-assisted diagnosis and treatment system for neonatal seizures in the real world: a multicenter clinical study protocol / 中国当代儿科杂志

Neonatal seizures are the most common clinical manifestations of critically ill neonates and often suggest serious diseases and complicated etiologies. The precise diagnosis of this disease can optimize the use of anti-seizure medication, reduce hospital costs, and improve the long-term neurodevelopmental outcomes. Currently, a few artificial intelligence-assisted diagnosis and treatment systems have been developed for neonatal seizures, but there is still a lack of high-level evidence for the diagnosis and treatment value in the real world. Based on an artificial intelligence-assisted diagnosis and treatment systems that has been developed for neonatal seizures, this study plans to recruit 370 neonates at a high risk of seizures from 6 neonatal intensive care units (NICUs) in China, in order to evaluate the effect of the system on the diagnosis, treatment, and prognosis of neonatal seizures in neonates with different gestational ages in the NICU. In this study, a diagnostic study protocol is used to evaluate the diagnostic value of the system, and a randomized parallel-controlled trial is designed to evaluate the effect of the system on the treatment and prognosis of neonates at a high risk of seizures. This multicenter prospective study will provide high-level evidence for the clinical application of artificial intelligence-assisted diagnosis and treatment systems for neonatal seizures in the real world.

Value of bedside lung ultrasound in the diagnosis of neonatal pneumonia / 中国当代儿科杂志

<p><b>OBJECTIVE</b>To study the value of bedside lung ultrasound in the diagnosis of neonatal pneumonia.</p><p><b>METHODS</b>A total of 49 neonates who were admitted to the Neonatal Intensive Care Unit of Chengdu Women and Children's Central Hospital in March 2017 with respiratory symptoms as the chief complaint were enrolled. Bedside lung ultrasound was performed within 24 hours after admission. A retrospective analysis was performed for their clinical data and lung ultrasound findings. The value of bedside lung ultrasound in the diagnosis of neonatal pneumonia was evaluated.</p><p><b>RESULTS</b>According to the gold standard for the diagnosis of neonatal pneumonia, of all 49 neonates, 44 were diagnosed with pneumonia. According to the criteria for the diagnosis of neonatal pneumonia based on lung ultrasound findings, 38 neonates were diagnosed with pneumonia. In the neonates with respiratory symptoms, lung ultrasound had a sensitivity of 86%, a specificity of 100%, a positive predictive value of 100%, and a negative predictive value of 45% in the diagnosis of neonatal pneumonia. Among the 44 cases of neonatal pneumonia diagnosed by the gold standard, the lung ultrasonic images showed B-lines in all 44 neonates (100%), 75% had pleural line abnormalities, 36% had patchy or local hypoechoic area in the lung, 27% had alveolar-interstitial syndrome, and 20% had air bronchogram.</p><p><b>CONCLUSIONS</b>As a new diagnostic technique in clinical practice, bedside lung ultrasound has a high sensitivity and specificity for the diagnosis of neonatal pneumonia and can thus be used as a tool for the diagnosis of this disease.</p>