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Yi M, Lou J, Cui R, Zhao J. Globus pallidus/putamen T 1WI signal intensity ratio in grading and predicting prognosis of neonatal acute bilirubin encephalopathy. Front Pediatr 2023; 11:1192126. [PMID: 37842026 PMCID: PMC10570546 DOI: 10.3389/fped.2023.1192126] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/23/2023] [Accepted: 09/07/2023] [Indexed: 10/17/2023] Open
Abstract
Purpose This study sought to investigate the relationship between the globus pallidus/putamen T1 weighted image (T1WI) signal intensity ratio (G/P ratio) and the acute bilirubin encephalopathy (ABE) in neonates, and to develop a new strategy for the grading and prognosis of ABE based on the G/P ratio. Methods A total of 77 full-term neonates with ABE were scored according to bilirubin-induced neurological dysfunction and divided into mild, moderate, and severe groups. Cranial magnetic resonance imaging examinations were performed and the G/P ratio was recorded. The follow-up reexaminations were carried out at 6 months, 1 year, and 2 years after the initial examination. The neonates were then divided into two groups, the good prognosis group and the kernicterus spectrum disorder (KSD) group, according to the evaluation of Gesell Developmental Schedules and Brainstem Audio Electric Potential at 6 months. Main findings The differences of G/P ratios were statistically significant, not only among the mild, moderate, and severe ABE groups for the initial examinations but also between the KSD and the good prognosis groups for the follow-up reexaminations. Therefore, the ABE grading model and prognosis predicting model could be established based on the G/P ratio. In the KSD group, the area under the receiver operating characteristic curve of the G/P ratio-based predicting model was 93.5%, the optimal critical point was 1.29, the sensitivity was 88.2%, and the specificity was 93.3%. Conclusions The G/P ratio can be used as an indicating parameter for both the clinical grading of neonatal ABE and the assessment of neonatal ABE prognosis. Specifically, the G/P ratio greater than 1.29 indicates a KSD of neonatal ABE.
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Affiliation(s)
- Minggang Yi
- Department of Radiology, Children's Hospital Affiliated to Shandong University, Jinan, Shandong, China
- Department of Radiology, Jinan Children's Hospital, Jinan, Shandong, China
| | - Jing Lou
- Department of Radiology, Shandong Jinan Municipal Hospital of Traditional Chinese Medicine, Jinan, Shandong, China
| | - Ruodi Cui
- Department of Radiology, Children's Hospital Affiliated to Shandong University, Jinan, Shandong, China
- Department of Radiology, Jinan Children's Hospital, Jinan, Shandong, China
| | - Jianshe Zhao
- Department of Radiology, Children's Hospital Affiliated to Shandong University, Jinan, Shandong, China
- Department of Radiology, Jinan Children's Hospital, Jinan, Shandong, China
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Yuan X, Kang W, Song J, Guo J, Guo L, Zhang R, Liu S, Zhang Y, Liu D, Wang Y, Ding X, Dong H, Chen X, Cheng Y, Zhang X, Xu F, Zhu C. Prognostic value of amplitude-integrated EEG in neonates with high risk of neurological sequelae. Ann Clin Transl Neurol 2020; 7:210-218. [PMID: 32031755 PMCID: PMC7034499 DOI: 10.1002/acn3.50989] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/21/2019] [Revised: 01/13/2020] [Accepted: 01/14/2020] [Indexed: 12/24/2022] Open
Abstract
OBJECTIVE To determine the efficacy and the prognostic value of amplitude-integrated electroencephalography (aEEG) in term and near-term neonates with high risk of neurological sequelae. METHODS Infants of ≥35 weeks of gestation diagnosed with neonatal encephalopathy or with high risk of brain injury were included. All eligible infants underwent aEEG within 6 h after clinical assessment. The infants were followed up 12 months to evaluate neurological development. RESULTS A total of 250 infants were eligible, of which 85 had normal aEEG, 81 had mildly abnormal aEEG, and 84 had severely abnormal aEEG. Of these infants, 168 were diagnosed with different neonatal encephalopathies, 27 with congenital or metabolic diseases, and 55 with high risk of brain injury. In all, 22 infants died, 19 were lost to follow-up, and 209 completed the follow-up at 12 months, of which 62 were diagnosed with a neurological disability. Statistical analysis showed that severely abnormal aEEG predicted adverse neurological outcome with a sensitivity of 70.2%, a specificity of 87.1%, a positive predictive value of 75.6%, and a negative predictive value of 83.7%. INTERPRETATION aEEG can predict adverse outcomes in high-risk neonates and is a useful method for monitoring neonates with high risk of adverse neurological outcomes.
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Affiliation(s)
- Xiao Yuan
- Henan Key Laboratory of Child Brain Injury, Third Affiliated Hospital and Institute of Neuroscience, Zhengzhou University, Zhengzhou, 450052, China
| | - Wenqing Kang
- Neonatal Intensive Care Unit, Zhengzhou Key Laboratory of Newborn Disease Research, Children's Hospital Affiliated to Zhengzhou University, Zhengzhou, 450018, China
| | - Juan Song
- Henan Key Laboratory of Child Brain Injury, Third Affiliated Hospital and Institute of Neuroscience, Zhengzhou University, Zhengzhou, 450052, China
| | - Jing Guo
- Neonatal Intensive Care Unit, Zhengzhou Key Laboratory of Newborn Disease Research, Children's Hospital Affiliated to Zhengzhou University, Zhengzhou, 450018, China
| | - Lanlan Guo
- Henan Key Laboratory of Child Brain Injury, Third Affiliated Hospital and Institute of Neuroscience, Zhengzhou University, Zhengzhou, 450052, China
| | - Ruili Zhang
- Henan Key Laboratory of Child Brain Injury, Third Affiliated Hospital and Institute of Neuroscience, Zhengzhou University, Zhengzhou, 450052, China
| | - Shasha Liu
- Henan Key Laboratory of Child Brain Injury, Third Affiliated Hospital and Institute of Neuroscience, Zhengzhou University, Zhengzhou, 450052, China
| | - Yaodong Zhang
- Neonatal Intensive Care Unit, Zhengzhou Key Laboratory of Newborn Disease Research, Children's Hospital Affiliated to Zhengzhou University, Zhengzhou, 450018, China
| | - Dapeng Liu
- Neonatal Intensive Care Unit, Zhengzhou Key Laboratory of Newborn Disease Research, Children's Hospital Affiliated to Zhengzhou University, Zhengzhou, 450018, China
| | - Yong Wang
- Henan Key Laboratory of Child Brain Injury, Third Affiliated Hospital and Institute of Neuroscience, Zhengzhou University, Zhengzhou, 450052, China
| | - Xue Ding
- Henan Key Laboratory of Child Brain Injury, Third Affiliated Hospital and Institute of Neuroscience, Zhengzhou University, Zhengzhou, 450052, China
| | - Huimin Dong
- Henan Key Laboratory of Child Brain Injury, Third Affiliated Hospital and Institute of Neuroscience, Zhengzhou University, Zhengzhou, 450052, China
| | - Xi Chen
- Henan Key Laboratory of Child Brain Injury, Third Affiliated Hospital and Institute of Neuroscience, Zhengzhou University, Zhengzhou, 450052, China
| | - Yanchao Cheng
- Henan Key Laboratory of Child Brain Injury, Third Affiliated Hospital and Institute of Neuroscience, Zhengzhou University, Zhengzhou, 450052, China
| | - Xiaoli Zhang
- Henan Key Laboratory of Child Brain Injury, Third Affiliated Hospital and Institute of Neuroscience, Zhengzhou University, Zhengzhou, 450052, China
| | - Falin Xu
- Henan Key Laboratory of Child Brain Injury, Third Affiliated Hospital and Institute of Neuroscience, Zhengzhou University, Zhengzhou, 450052, China
| | - Changlian Zhu
- Henan Key Laboratory of Child Brain Injury, Third Affiliated Hospital and Institute of Neuroscience, Zhengzhou University, Zhengzhou, 450052, China.,Center for Brain Repair and Rehabilitation, Institute of Neuroscience and Physiology, Sahlgrenska Academy, Gothenburg University, Gothenburg, 40530, Sweden.,Department of Women's and Children's Health, Karolinska Institutet, Stockholm, 2995, Sweden
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