Department of Child Health, School of Medicine, Cardiff University, Cardiff, United Kingdom.
Pediatrics. 2011 Sep;128(3):e550-64. doi: 10.1542/peds.2010-2949. Epub 2011 Aug 15.
To determine which combinations of clinical features assist in distinguishing abusive head trauma (AHT) from nonabusive head trauma.
Individual patient data from 6 comparative studies of children younger than 3 years with intracranial injury were analyzed to determine the association between AHT and combinations of apnea; retinal hemorrhage; rib, skull, and long-bone fractures; seizures; and head and/or neck bruising. An aggregate analysis of data from these studies used multiple imputation of combined clinical features using a bespoke hotdeck imputation strategy, which accounted for uncertainty arising from missing information.
Analyzing 1053 children (348 had AHT), excluding nonsignificant variables (gender, age, skull fractures), for a child with an intracranial injury and 1 or 2 of the 6 features, the positive predictive value (PPV) of AHT varies from 4% to 97% according to the different combinations. Although rarely recorded, apnea is significantly associated with AHT (odds ratio [OR]: 6.89 [confidence interval: 2.08-22.86]). When rib fracture or retinal hemorrhage was present with any 1 of the other features, the OR for AHT is >100 (PPV > 85%). Any combination of 3 or more of the 6 significant features yielded an OR of >100 (PPV for AHT > 85%).
Probabilities of AHT can be estimated on the basis of different combinations of clinical features. The model could be further developed in a prospective large-scale study, with an expanded clinical data set, to contribute to a more refined tool to inform clinical decisions about the likelihood of AHT.
确定哪些临床特征组合有助于区分虐待性头部外伤(AHT)与非虐待性头部外伤。
对 6 项比较研究中年龄小于 3 岁的颅内损伤患儿的个体患者数据进行分析,以确定 AHT 与呼吸暂停;视网膜出血;肋骨、颅骨和长骨骨折;癫痫发作;头颈部瘀伤等特征的组合之间的关联。对这些研究的数据进行综合分析,采用专门的热补法对合并的临床特征进行多重插补,以考虑因信息缺失引起的不确定性。
对 1053 名患儿(348 名患有 AHT)进行分析,排除无显著意义的变量(性别、年龄、颅骨骨折),对于颅内损伤合并 1 或 2 个特征的患儿,AHT 的阳性预测值(PPV)根据不同的组合,从 4%到 97%不等。尽管很少记录,但呼吸暂停与 AHT 显著相关(比值比 [OR]:6.89 [置信区间:2.08-22.86])。当肋骨骨折或视网膜出血与其他特征中的任何 1 个同时存在时,AHT 的 OR 大于 100(PPV > 85%)。任何 3 个或更多 6 个重要特征的组合的 OR 大于 100(AHT 的 PPV > 85%)。
可以根据不同的临床特征组合来估计 AHT 的可能性。该模型可以在一项前瞻性的大型研究中进一步开发,通过扩展临床数据集,为更精细的工具做出贡献,以帮助临床决策确定 AHT 的可能性。