评估儿童原发性硬化性胆管炎成人预后模型的有效性。

M. Deneau, P. Valentino, C. Mack, Khaled Alqoaer, M. Amin, A. Amir, M. Aumar, M. Auth, A. Broderick, Matthew DiGuglielmo, L. Draijer, W. El-Matary, F. Ferrari, K. Furuya, F. Gottrand, N. Gupta, M. Homan, M. K. Jensen, B. Kamath, Kyung Mo Kim, K. Kolho, B. Koot, R. Iorio, Mercedes Martinez, T. Miloh, P. Mohan, S. Palle, Alexandra Papadopoulou, A. Ricciuto, L. Saubermann, P. Sathya, E. Shteyer, V. Smolka, A. Tanaka, R. Varier, Veena L. Venkat, B. Vitola, M. Woynarowski, S. Guthery
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引用次数: 1

摘要

原发性硬化性胆管炎(PSC)的自然病史模型来源于成人患者数据,但从未在儿童中得到验证。目前尚不清楚这些模型对PSC儿童的准确性如何。方法:我们利用儿科PSC联盟数据库对修订后的Mayo Clinic、Amsterdam-Oxford和Boberg模型进行评估。我们使用PSC诊断时的患者数据计算了每个模型中每个患者的风险层并预测了患者的生存,并将其与观察到的生存进行了比较。我们使用c统计量评估模型拟合。结果Mayo、Boberg和Amsterdam-Oxford模型的1年拟合良好(c统计量分别为0.93、0.87、0.82),10年拟合一般(c统计量分别为0.78、0.75、0.69)。梅奥模型正确地将大多数儿童归类为低风险,而阿姆斯特丹-牛津模型则错误地将大多数儿童归类为高风险。所有模型都低估了高风险患者的生存。白蛋白、胆红素、AST和血小板与预后最相关。自身免疫性肝炎在高危人群中更为普遍,这些患者的谷丙转氨酶超重是观察到的与预测的生存差异的原因。结论3种模型均具有较好的短期鉴别效果,但长期鉴别效果一般。这些模型都不能解释儿童自身免疫性肝炎重叠特征的高流行率以及相关的转氨酶升高。需要一种针对儿科的模式。AST、胆红素、白蛋白和血小板将是重要的预测因子,但必须考虑到儿童PSC的独特特征。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Assessing the Validity of Adult-Derived Prognostic Models for Primary Sclerosing Cholangitis Outcomes in Children.
BACKGROUND Natural history models for primary sclerosing cholangitis (PSC) are derived from adult patient data, but have never been validated in children. It is unclear how accurate such models are for children with PSC. METHODS We utilized the pediatric PSC consortium database to assess the Revised Mayo Clinic, Amsterdam-Oxford and Boberg models. We calculated the risk stratum and predicted survival for each patient within each model using patient data at PSC diagnosis, and compared it to observed survival. We evaluated model fit using the c-statistic. RESULTS Model fit was good at one year (c-statistics 0.93, 0.87, 0.82) and fair at ten years (0.78, 0.75, 0.69) in the Mayo, Boberg and Amsterdam-Oxford models, respectively. The Mayo model correctly classified most children as low risk, whereas the Amsterdam-Oxford model incorrectly classified most as high risk. All of the models underestimated survival of patients classified as high risk. Albumin, bilirubin, AST and platelets were most associated with outcomes. Autoimmune hepatitis was more prevalent in higher risk groups, and over-weighting of AST in these patients accounted for the observed vs. predicted survival discrepancy. CONCLUSION All three models offered good short-term discrimination of outcomes but only fair long-term discrimination. None of the models account for the high prevalence of features of autoimmune hepatitis overlap in children and the associated elevated aminotransferases. A pediatric-specific model is needed. AST, bilirubin, albumin and platelets will be important predictors, but must be weighted to account for the unique features of PSC in children.
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