The combination of indocyanine green clearance test and model for end-stage liver disease score predicts early graft outcome after liver transplantation

The combination of indocyanine green clearance test and model for end-stage liver disease score predicts early graft outcome after liver transplantation
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吲哚菁绿清除率试验与终末期肝病评分模型相结合可预测肝移植后的早期移植结果

DOI:
10.1007/s10877-017-0051-x
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发表时间:
2018-06
期刊:
J Clin Monit Comput
影响因子:
--
通讯作者:
Xiaoshun He
Xiaoshun He
中科院分区:
其他
文献类型:
--
作者:
Yunhua Tang;Weiqiang Ju;Maogen Chen;Sai Yang;Zhiheng Zhang;Dongping Wang;Zhiyong Guo;Xiaoshun He

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早期移植物功能障碍(EAD)和术后早期并发症是评价肝移植(LT)临床结局的两个重要临床指标。我们在87例肝移植受者中开发并验证了两种ICGR 15-MELD模型,通过将定量肝功能检查(ICGR 15)纳入MELD评分,预测LT后EAD和早期术后并发症。收集了87例接受LT的连续患者,并将其分为培训队列(n = 61)和内部验证队列(n = 26)。ICGR 15-MELD评分预测肝移植术后EAD的曲线下面积(AUC)为0.876,敏感性为92.0%,特异性为75.0%,优于MELD评分或单独使用ICGR 15。ICGR 15-MELD评分≥0.243的受者EAD发生率高于ICGR 15-MELD评分<0.243的受者(P <0.001)。ICGR 15-MELD评分预测术后早期并发症的AUC为0.832,敏感性为90.9%,特异性为71.0%。ICGR 15-MELD评分≥0.098的受者术后早期并发症发生率高于ICGR 15-MELD评分<0.098的受者(P < 0.001)。最后,两个ICGR 15-MELD模型在验证队列中的应用仍然提供了良好的准确性(AUC分别为0.835和0.826)预测EAD和LT术后早期并发症。定量肝功能检查(ICGR 15)和术前MELD评分的结合是预测EAD和LT术后早期并发症的可靠和有效的预测因子,其优于MELD评分或单独ICGR 15。
Early allograft dysfunction (EAD) and early postoperative complications are two important clinical endpoints when evaluating clinical outcomes of liver transplantation (LT). We developed and validated two ICGR15-MELD models in 87 liver transplant recipients for predicting EAD and early postoperative complications after LT by incorporating the quantitative liver function tests (ICGR15) into the MELD score. Eighty seven consecutive patients who underwent LT were collected and divided into a training cohort (n = 61) and an internal validation cohort (n = 26). For predicting EAD after LT, the area under curve (AUC) for ICGR15-MELD score was 0.876, with a sensitivity of 92.0% and a specificity of 75.0%, which is better than MELD score or ICGR15 alone. The recipients with a ICGR15-MELD score ≥0.243 have a higher incidence of EAD than those with a ICGR15-MELD score <0.243 (P <0.001). For predicting early postoperative complications, the AUC of ICGR15-MELD score was 0.832, with a sensitivity of 90.9% and a specificity of 71.0%. Those recipients with an ICGR15-MELD score ≥0.098 have a higher incidence of early postoperative complications than those with an ICGR15-MELD score <0.098 (P < 0.001). Finally, application of the two ICGR15-MELD models in the validation cohort still gave good accuracy (AUC, 0.835 and 0.826, respectively) in predicting EAD and early postoperative complications after LT. The combination of quantitative liver function tests (ICGR15) and the preoperative MELD score is a reliable and effective predictor of EAD and early postoperative complications after LT, which is better than MELD score or ICGR15 alone.
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