Mortality scoring systems for liver transplant recipients: before and after model for end-stage liver disease score.

Yang-Hoon Chung, Jaewoong Jung, Sang Hyun Kim
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Abstract

The mortality scoring systems for patients with end-stage liver disease have evolved from the Child-Turcotte-Pugh score to the model for end-stage liver disease (MELD) score, affecting the wait list for liver allocation. There are inherent weaknesses in the MELD score, with the gradual decline in its accuracy owing to changes in patient demographics or treatment options. Continuous refinement of the MELD score is in progress; however, both advantages and disadvantages exist. Recently, attempts have been made to introduce artificial intelligence into mortality prediction; however, many challenges must still be overcome. More research is needed to improve the accuracy of mortality prediction in liver transplant recipients.

肝移植受者死亡率评分系统:终末期肝病评分前后模型
终末期肝病患者的死亡率评分系统已经从child - turcote - pugh评分演变为终末期肝病(MELD)评分模型,影响了肝脏分配的等待名单。MELD评分存在固有的弱点,由于患者人口统计学或治疗方案的变化,其准确性逐渐下降。MELD评分的持续改进正在进行中;然而,优点和缺点都存在。最近,有人尝试将人工智能引入死亡率预测;然而,仍有许多挑战需要克服。需要更多的研究来提高肝移植受者死亡率预测的准确性。
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