Aetiology and outcomes of prolonged neonatal jaundice in tertiary centres: data from the China Neonatal Genome Project

黄疸 医学 病因学 儿科 队列 内科学
作者
Tiantian Xiao,Jin Wang,Huijun Wang,Hongfang Mei,Xinran Dong,Yulan Lu,Guoqiang Cheng,Laishuan Wang,Liyuan Hu,Wei Lü,Qi Ni,Gang Li,Ping Zhang,Yanyan Qian,Xu Li,Xiaomin Peng,Yao Wang,Chun Shen,Gong Chen,Yalan Dou
出处
期刊:Archives of Disease in Childhood-fetal and Neonatal Edition [BMJ]
卷期号:108 (1): 57-62 被引量:1
标识
DOI:10.1136/archdischild-2021-323413
摘要

Objective To investigate the distribution of aetiologies and outcomes in neonates with prolonged neonatal jaundice. Design An observational study. Setting Multiple tertiary centres from the China Neonatal Genome Project. Patients Term infants with jaundice lasting more than 14 days or preterm infants with jaundice lasting more than 21 days were recruited between 1 June 2016 and 30 June 2020. Main outcome measures Aetiology and outcomes were recorded from neonates with prolonged unconjugated hyperbilirubinaemia (PUCHB) and prolonged conjugated hyperbilirubinaemia (PCHB). Results A total of 939 neonates were enrolled, and known aetiologies were identified in 84.1% of neonates (790 of 939). Among 411 neonates with PCHB, genetic disorders (27.2%, 112 of 411) were the leading aetiologies. There were 8 deceased neonates, 19 neonates with liver failure and 12 with neurodevelopmental delay. Among 528 neonates with PUCHB, a genetic aetiology was identified in 2 of 219 neonates (0.9%) who showed disappearance of jaundice within 4 weeks of age and in 32 of 309 neonates (10.4%) with persistent jaundice after 4 weeks of age. A total of 96 of 181 neonates (53.0%) who received genetic diagnoses had their clinical diagnosis modified as a result of the genetic diagnoses. Conclusion Known aetiologies were identified in approximately 80% of neonates in our cohort, and their overall outcomes were favourable. Genetic aetiology should be considered a priority in neonates with PCHB or the persistence of jaundice after 4 weeks of age. Moreover, genetic data can modify the clinical diagnosis and guide disease management, potentially improving outcomes.
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