Pal Ria, Barsh Gabrielle Russo, Luo Ingrid, Dahmoush Hisham, Lee Sarah, Mayne Elizabeth
Division of Child Neurology, Department of Neurology, Stanford University, Palo Alto, CA.
Division of Child Neurology, Department of Neurology, Stanford University, Palo Alto, CA.
J Pediatr. 2025 Aug 7;287:114769. doi: 10.1016/j.jpeds.2025.114769.
To evaluate the association between severity of brain magnetic resonance imaging (MRI) findings and neurodevelopmental impairment (NDI) among neonates with radiographically identified deep medullary vein thrombosis (DMVT) and to develop an MRI grading system to help predict clinical outcomes.
We conducted a retrospective cohort study of infants admitted to a single, tertiary care hospital and diagnosed as having DMVT identified by brain MRI from January 1990 to March 2023. Clinical characteristics, MRI features, and neurodevelopmental assessments were analyzed. An MRI grading system was created to categorize the severity of radiographic injury as mild, moderate, or severe.
Among 63 neonates diagnosed with DMVT, 41 exhibited moderate to severe MRI lesions. These patients were more likely to experience NDI than those with mild lesions (adjusted OR 24.3, 95% CI 4.7-180.2, P < .001). Follow-up data were available for 52 infants, of whom 40.4% developed NDI. MRI severity emerged as the strongest predictor of impaired outcomes, independent of other clinical factors such as gestational age, Apgar score, or seizures at presentation.
Neonates with moderate or severe DMVT on MRI are at risk for NDI. The proposed MRI grading system may be a valuable classification and prognostication tool for clinicians and researchers managing DMVT in neonates.
评估经影像学检查确诊为深部髓静脉血栓形成(DMVT)的新生儿脑磁共振成像(MRI)结果的严重程度与神经发育障碍(NDI)之间的关联,并建立一个MRI分级系统以帮助预测临床结局。
我们对一家三级医疗中心收治的婴儿进行了一项回顾性队列研究,这些婴儿在1990年1月至2023年3月期间经脑MRI诊断为DMVT。分析了临床特征、MRI特征和神经发育评估结果。创建了一个MRI分级系统,将影像学损伤的严重程度分为轻度、中度或重度。
在63例诊断为DMVT的新生儿中,41例表现出中度至重度MRI病变。与轻度病变的患者相比,这些患者发生NDI的可能性更高(调整后的比值比为24.3,95%置信区间为4.7-180.2,P <.001)。52例婴儿有随访数据,其中40.4%发生了NDI。MRI严重程度是预后受损的最强预测因素,独立于其他临床因素,如胎龄、阿氏评分或就诊时的癫痫发作。
MRI显示为中度或重度DMVT的新生儿有发生NDI的风险。所提出的MRI分级系统可能是临床医生和研究人员管理新生儿DMVT的一种有价值的分类和预后工具。