Zhang Lijuan, Cui Xiaomin, Zhang Ming, Lu Weifeng
Department of Surgical Intensive Care Unit, Children's Hospital of Nanjing Medical University, No.72 Guangzhou Road, Nanjing, 210008, Jiangsu Province, China.
Eur J Pediatr. 2025 Sep 3;184(9):591. doi: 10.1007/s00431-025-06432-x.
Monitoring the dynamic changes in intracranial pressure (ICP) is crucial for assessing clinical outcomes in pediatric intracranial hemorrhage (ICH). However, the ICP trajectory patterns remain unknown. We aim to identify distinct ICP trajectory patterns in pediatric ICH and assess their impact on clinical outcomes. Pediatric ICH population were enrolled in Jiangsu Pediatric Medical Center. We utilized group-based trajectory modeling (GBTM) to identify distinct hourly ICP trajectories from the initiation of ICP monitoring up to the fourth day. The ΔICP was calculated to capture short-term fluctuations in ICP. Both the ICP trajectory patterns and ΔICP values were analyzed to assess ICP dynamics. Clinical characteristics were compared across the identified trajectory groups to explore potential differences. Multivariable logistic regression analyses were performed to investigate their associations with six-month functional outcomes, with adjustment for potential confounders. A total of 201 eligible patients were included in the study. GBTM identified five distinct ICP trajectories, which differed significantly in terms of mechanical ventilation, vasoactive agent use, pupil reactivity, craniectomy, initial, maximum, and median ICP, as well as ΔICP variability, Glasgow Coma Scale (GCS), and six-month Pediatric Glasgow Outcome Scale-Extended (pGOSE) scores. Compared with the "Low-Stable" group, patients in the "High-Fluctuating" and "Mid-Range Stable with Variability" groups had significantly higher odds of poor six-month outcomes (OR 24.28, 95% CI 2.91-202.90; OR 9.02, 95% CI 1.76-46.35, respectively).
This study reveals substantial heterogeneity in ICP trajectories among children with ICH and identifies three patterns associated with poor neurologic outcomes. Characterizing dynamic ICP trajectory subtypes may assist in early risk stratification and provide insight into ICP regulation patterns.
• Intracranial pressure (ICP) levels are linked to outcomes in pediatric intracranial hemorrhage (ICH). • Current understanding is based on static ICP measurements rather than longitudinal patterns.
• This study identifies five distinct ICP trajectory subtypes using group-based trajectory modeling. • Three dynamic ICP patterns are significantly associated with poor 6-month neurologic outcomes.
监测颅内压(ICP)的动态变化对于评估小儿颅内出血(ICH)的临床结局至关重要。然而,ICP轨迹模式仍不清楚。我们旨在确定小儿ICH中不同的ICP轨迹模式,并评估它们对临床结局的影响。小儿ICH患者纳入江苏省儿童医学中心。我们利用基于组的轨迹建模(GBTM)从ICP监测开始至第四天识别不同的每小时ICP轨迹。计算ΔICP以捕捉ICP的短期波动。分析ICP轨迹模式和ΔICP值以评估ICP动态。比较已识别轨迹组的临床特征以探索潜在差异。进行多变量逻辑回归分析以研究它们与六个月功能结局的关联,并对潜在混杂因素进行调整。本研究共纳入201例符合条件的患者。GBTM识别出五种不同的ICP轨迹,在机械通气、血管活性药物使用、瞳孔反应性、颅骨切除术、初始、最大和中位ICP以及ΔICP变异性、格拉斯哥昏迷量表(GCS)和六个月小儿格拉斯哥预后量表扩展版(pGOSE)评分方面存在显著差异。与“低稳定”组相比,“高波动”组和“中度可变稳定”组的患者六个月预后不良的几率显著更高(分别为OR 24.28,95%CI 2.91 - 202.90;OR 9.02,95%CI 1.76 - 46.35)。
本研究揭示了ICH患儿ICP轨迹存在显著异质性,并识别出三种与不良神经结局相关的模式。表征动态ICP轨迹亚型可能有助于早期风险分层,并深入了解ICP调节模式。
• 颅内压(ICP)水平与小儿颅内出血(ICH)的结局相关。• 当前的理解基于静态ICP测量而非纵向模式。
• 本研究使用基于组的轨迹建模识别出五种不同的ICP轨迹亚型。• 三种动态ICP模式与六个月不良神经结局显著相关。