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首页> 外文期刊>Arthritis research & therapy. >Predicting unfavorable long-term outcome in juvenile idiopathic arthritis: results from the Nordic cohort study
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Predicting unfavorable long-term outcome in juvenile idiopathic arthritis: results from the Nordic cohort study

机译:预测青少年特发性关节炎的不良长期结果:北欧队列研究的结果

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The aim was to develop prediction rules that may guide early treatment decisions based on baseline clinical predictors of long-term unfavorable outcome in juvenile idiopathic arthritis (JIA). In the Nordic JIA cohort, we assessed baseline disease characteristics as predictors of the following outcomes 8 years after disease onset. Non-achievement of remission off medication according to the preliminary Wallace criteria, functional disability assessed by Childhood Health Assessment Questionnaire (CHAQ) and Physical Summary Score (PhS) of the Child Health Questionnaire, and articular damage assessed by the Juvenile Arthritis Damage Index-Articular (JADI-A). Multivariable models were constructed, and cross-validations were performed by repeated partitioning of the cohort into training sets for developing prediction models and validation sets to test predictive ability. The total cohort constituted 423 children. Remission status was available in 410 children: 244 (59.5%) of these did not achieve remission off medication at the final study visit. Functional disability was present in 111/340 (32.7%) children assessed by CHAQ and 40/199 (20.1%) by PhS, and joint damage was found in 29/216 (13.4%). Model performance was acceptable for making predictions of long-term outcome. In validation sets, the area under the curves (AUCs) in the receiver operating characteristic (ROC) curves were 0.78 (IQR 0.72–0.82) for non-achievement of remission off medication, 0.73 (IQR 0.67–0.76) for functional disability assessed by CHAQ, 0.74 (IQR 0.65–0.80) for functional disability assessed by PhS, and 0.73 (IQR 0.63–0.76) for joint damage using JADI-A. The feasibility of making long-term predictions of JIA outcome based on early clinical assessment is demonstrated. The prediction models have acceptable precision and require only readily available baseline variables. Further testing in other cohorts is warranted.
机译:目的是根据青少年特发性关节炎(JIA)长期不良结局的基线临床预测指标,制定可指导早期治疗决策的预测规则。在北欧JIA队列中,我们评估了基线疾病特征,作为疾病发作8年后以下结果的预测指标。根据华莱士初步标准未实现药物缓解,通过儿童健康调查问卷(CHAQ)和儿童健康状况调查表(PhS)评估的功能障碍,以及通过青少年关节炎损害指数评估的关节损伤(JADI-A)。构建了多变量模型,并通过将队列重复划分为训练集以开发预测模型和验证集以测试预测能力来进行交叉验证。整个队列共有423名儿童。 410名儿童可获得缓解状态:其中244名(59.5%)在最后一次研究访视时未实现药物缓解。通过CHAQ评估的111/340(32.7%)儿童和通过PhS评估的40/199(20.1%)儿童存在功能障碍,在29/216(13.4%)发现关节损伤。模型性能对于进行长期结果的预测是可以接受的。在验证集中,接受者工作特征(ROC)曲线下的曲线下面积(AUC)对于未实现药物缓解的受试者为0.78(IQR 0.72-0.82),对于功能障碍的受试者为0.73(IQR 0.67-0.76),通过评估CHAQ,通过PhS评估的功能障碍为0.74(IQR 0.65-0.80),使用JADI-A的关节损伤为0.73(IQR 0.63-0.76)。证明了根据早期临床评估对JIA结果进行长期预测的可行性。预测模型具有可接受的精度,并且仅需要随时可用的基线变量。有必要在其他队列中进行进一步测试。

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