Li Ruosha, Belle Steven H, Horslen Simon, Chen Ling-wan, Zhang Song, Squires Robert H
Department of Biostatistics, University of Texas School of Public Health, Houston, TX.
Department of Epidemiology, University of Pittsburgh, Pittsburgh, PA.
J Pediatr. 2016 Apr;171:163-70.e1-3. doi: 10.1016/j.jpeds.2015.12.065. Epub 2016 Jan 28.
To investigate the heterogeneity in clinical course among those with pediatric acute liver failure (PALF) of indeterminate disease etiology.
We studied participants enrolled in the PALF registry study with indeterminate final diagnosis. Growth mixture modeling was used to analyze participants' international normalized ratio, total bilirubin, and hepatic encephalopathy trajectories in the first 7 days following enrollment. Participants with at least 3 values for 1 or more of the measurements were included. We examined the association between the resulting latent subgroup classification with participants' characteristics and disease outcomes. Data from participants with PALF of specified etiologies were used to investigate the potential diagnostic value of the latent subgroups.
In this sample of 380 participants with indeterminate final diagnosis, 115 (30%) experienced mild and quickly improving disease trajectories and another 48 (13%) started with severe disease but improved by day 7. The majority of participants (216, 57%) had disease trajectories that worsened over time. The identified patterns of disease trajectories are predictive of outcome (P < .001). The trajectory patterns are associated with the underlying disease etiology (P < .001) for the 488 participants with PALF of specified etiologies.
The clinical courses of participants with PALF of indeterminate disease etiology exhibit distinct trajectory patterns, which have important prognostic and potentially diagnostic value.
探讨病因不明的儿童急性肝衰竭(PALF)患者临床病程的异质性。
我们研究了PALF登记研究中最终诊断不明的参与者。采用生长混合模型分析参与者入组后前7天的国际标准化比值、总胆红素和肝性脑病轨迹。纳入至少有1项或多项测量值的3个数据点的参与者。我们检查了由此产生的潜在亚组分类与参与者特征和疾病结局之间的关联。使用特定病因PALF参与者的数据来研究潜在亚组的潜在诊断价值。
在这个最终诊断不明的380名参与者样本中,115名(30%)经历了轻度且病情迅速改善的病程,另外48名(13%)开始时病情严重但在第7天有所改善。大多数参与者(216名,57%)的病程随时间恶化。所确定的病程模式可预测结局(P < .001)。对于488名特定病因PALF的参与者,病程模式与潜在疾病病因相关(P < .001)。
病因不明的PALF参与者的临床病程呈现出不同的轨迹模式,具有重要的预后和潜在诊断价值。