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PREDICTIVE VALUE OF CLINICAL FINDINGS AND PLASMA BIOMARKERS AFTER 14 DAYS OF PREDNISONE TREATMENT FOR ACUTE GRAFT-VERSUS-HOST DISEASE

机译:雷尼松治疗急性移植物抗宿主病14天后临床研究结果和血浆生物标志物的预测价值

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摘要

We examined the hypothesis that plasma biomarkers and concomitant clinical findings after initial glucocorticoid therapy can accurately predict failure of graft-versus-host-disease treatment and mortality. We analyzed plasma samples and clinical data in 165 patients after 14 days of glucocorticoid therapy and used logistic regression and areas under receiver-operating characteristic curves (AUC) to evaluate associations with treatment failure and non-relapse mortality (NRM). Initial treatment of GVHD was unsuccessful in 49 patients (30%). For predicting GVHD treatment failure, the best clinical combination (total serum bilirubin and skin GVHD stage, AUC 0.70) was competitive with the best biomarker combination (TIM3 and ST2, AUC 0.73). The combination of clinical features and biomarker results offered only a slight improvement (AUC 0.75). For predicting NRM at 1 year, the best clinical predictor (total serum bilirubin, AUC 0.81) was competitive with the best biomarker combination (TIM3 and sTNFR1, AUC 0.85). The combination offered no improvement (AUC 0.85). Infection was the proximate cause of death in virtually all patients.We conclude that after 14 days of glucocorticoid therapy, clinical findings (serum bilirubin, skin GVHD) and plasma biomarkers (TIM3, ST2, sTNFR1) can predict failure of GVHD treatment and non-relapse mortality. These biomarkers reflect counter-regulatory mechanisms and provide insight into the pathophysiology of GVHD reactions following glucocorticoid treatment. The best predictive models, however, exhibit inadequate positive predictive values for identifying high-risk GVHD cohorts for investigational trials, as only a minority of patients with high-risk GVHD would be identified, and most patients would be falsely predicted to have adverse outcomes.
机译:我们检查了以下假设,即初始糖皮质激素治疗后血浆生物标志物和伴随的临床发现可以准确预测移植物抗宿主疾病的治疗失败和死亡率。我们对糖皮质激素治疗14天后的165例患者的血浆样本和临床数据进行了分析,并使用logistic回归和接受者操作特征曲线(AUC)下的面积来评估与治疗失败和非复发死亡率(NRM)的关联。 GVHD的初始治疗未能成功治疗49例患者(占30%)。为了预测GVHD治疗失败,最佳的临床组合(血清总胆红素和皮肤GVHD分期,AUC 0.70)与最佳的生物标志物组合(TIM3和ST2,AUC 0.73)竞争。临床特征和生物标志物结果的结合仅提供了轻微的改善(AUC 0.75)。为了预测1年时的NRM,最佳的临床预测指标(血清总胆红素,AUC 0.81)与最佳的生物标志物组合(TIM3和sTNFR1,AUC 0.85)竞争。合并后没有任何改善(AUC 0.85)。感染几乎是所有患者的死亡原因。我们得出的结论是,糖皮质激素治疗14天后,临床发现(血清胆红素,皮肤GVHD)和血浆生物标志物(TIM3,ST2,sTNFR1)可以预测GVHD治疗失败和非复发死亡率。这些生物标志物反映了反调节机制,并提供了糖皮质激素治疗后GVHD反应的病理生理学见解。但是,最好的预测模型在确定用于研究试验的高风险GVHD队列时显示出不足的阳性预测值,因为只能识别出少数高风险GVHD患者,而大多数患者将被错误地预测为不良结果。

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