Evidence-based incorporation of key parameters into MELD score for acute-on-chronic liver failure.

eGastroenterology Pub Date : 2024-10-01 eCollection Date: 2024-09-01 DOI:10.1136/egastro-2024-100101
Xia Yu, Ruoqi Zhou, Wenting Tan, Xiaobo Wang, Xin Zheng, Yan Huang, Jinjun Chen, Beiling Li, Xinxin Liu, Zhiwei Li, Zhongji Meng, Yanhang Gao, Zhiping Qian, Feng Liu, Xiaobo Lu, Jia Shang, Huadong Yan, Yubao Zheng, Weituo Zhang, Shan Yin, Wenyi Gu, Guohong Deng, Xiaomei Xiang, Yi Zhou, Yixin Hou, Qun Zhang, Shue Xiong, Jing Liu, Ruochan Chen, Liyuan Long, Xiuhua Jiang, Sen Luo, Yuanyuan Chen, Chang Jiang, Jinming Zhao, Liujuan Ji, Xue Mei, Jing Li, Tao Li, Rongjiong Zheng, Xinyi Zhou, Qun Cai, Hai Li, Jifang Sheng, Yu Shi
{"title":"Evidence-based incorporation of key parameters into MELD score for acute-on-chronic liver failure.","authors":"Xia Yu, Ruoqi Zhou, Wenting Tan, Xiaobo Wang, Xin Zheng, Yan Huang, Jinjun Chen, Beiling Li, Xinxin Liu, Zhiwei Li, Zhongji Meng, Yanhang Gao, Zhiping Qian, Feng Liu, Xiaobo Lu, Jia Shang, Huadong Yan, Yubao Zheng, Weituo Zhang, Shan Yin, Wenyi Gu, Guohong Deng, Xiaomei Xiang, Yi Zhou, Yixin Hou, Qun Zhang, Shue Xiong, Jing Liu, Ruochan Chen, Liyuan Long, Xiuhua Jiang, Sen Luo, Yuanyuan Chen, Chang Jiang, Jinming Zhao, Liujuan Ji, Xue Mei, Jing Li, Tao Li, Rongjiong Zheng, Xinyi Zhou, Qun Cai, Hai Li, Jifang Sheng, Yu Shi","doi":"10.1136/egastro-2024-100101","DOIUrl":null,"url":null,"abstract":"<p><strong>Background: </strong>The model for end-stage liver disease (MELD) score is widely used for the prognostication in end-stage liver disease but has limited performance in acute-on-chronic liver failure (ACLF). In this study, we identified additional predictive parameters and reformed the MELD score to predict ACLF more accurately.</p><p><strong>Methods: </strong>A meta-analysis was performed on relevant studies to identify the predictive factors of 28-day/90-day outcomes of ACLF, which were validated in two large prospective cohorts. A prognostic score was developed by incorporating predictive parameters into the MELD score. The model was evaluated with a focus on discrimination and calibration.</p><p><strong>Results: </strong>The meta-analysis incorporated 32 cohort studies with a total of 13 939 patients, of which 13 risk factors were identified, and 3 risk factors (age, neutrophil count and hepatic encephalopathy (HE) grade) besides MELD score were validated in 751 patients with ACLF derived from two prospective cohorts. A new model (Chinese Acute-on-Chronic Liver Failure Consortium (CATCH-LIFE)-MELD score) was developed as follows: 0.028×age+0.3×HE grade+0.039×neutrophil count+0.079×MELD score. CATCH-LIFE-MELD score achieved a concordance index of 0.791/0.788 for 28-day/90-day outcomes, which is superior to other traditional scores. Other discrimination indices, including net reclassification improvement, integrated discrimination improvement and probability density function, and calibration including Nagelkerke's R<sup>2</sup> and Brier scores confirmed its superiority. Moreover, the accuracy of CATCH-LIFE-MELD score remained stable. It was highest in patients with or without hepatitis B virus infection, cirrhosis, liver failure or under the Chinese Group on the Study of Severe Hepatitis B (COSSH) criteria or European Association for the Study of the Liver (EASL) criteria. All results were substantiated by an evaluation using an external cohort.</p><p><strong>Conclusions: </strong>CATCH-LIFE-MELD score, a modified MELD score exhibited improved accuracy in predicting the short-term prognosis of ACLF than other traditional scores.</p>","PeriodicalId":72879,"journal":{"name":"eGastroenterology","volume":"2 3","pages":"e100101"},"PeriodicalIF":0.0000,"publicationDate":"2024-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11770428/pdf/","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"eGastroenterology","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1136/egastro-2024-100101","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"2024/9/1 0:00:00","PubModel":"eCollection","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0

Abstract

Background: The model for end-stage liver disease (MELD) score is widely used for the prognostication in end-stage liver disease but has limited performance in acute-on-chronic liver failure (ACLF). In this study, we identified additional predictive parameters and reformed the MELD score to predict ACLF more accurately.

Methods: A meta-analysis was performed on relevant studies to identify the predictive factors of 28-day/90-day outcomes of ACLF, which were validated in two large prospective cohorts. A prognostic score was developed by incorporating predictive parameters into the MELD score. The model was evaluated with a focus on discrimination and calibration.

Results: The meta-analysis incorporated 32 cohort studies with a total of 13 939 patients, of which 13 risk factors were identified, and 3 risk factors (age, neutrophil count and hepatic encephalopathy (HE) grade) besides MELD score were validated in 751 patients with ACLF derived from two prospective cohorts. A new model (Chinese Acute-on-Chronic Liver Failure Consortium (CATCH-LIFE)-MELD score) was developed as follows: 0.028×age+0.3×HE grade+0.039×neutrophil count+0.079×MELD score. CATCH-LIFE-MELD score achieved a concordance index of 0.791/0.788 for 28-day/90-day outcomes, which is superior to other traditional scores. Other discrimination indices, including net reclassification improvement, integrated discrimination improvement and probability density function, and calibration including Nagelkerke's R2 and Brier scores confirmed its superiority. Moreover, the accuracy of CATCH-LIFE-MELD score remained stable. It was highest in patients with or without hepatitis B virus infection, cirrhosis, liver failure or under the Chinese Group on the Study of Severe Hepatitis B (COSSH) criteria or European Association for the Study of the Liver (EASL) criteria. All results were substantiated by an evaluation using an external cohort.

Conclusions: CATCH-LIFE-MELD score, a modified MELD score exhibited improved accuracy in predicting the short-term prognosis of ACLF than other traditional scores.

查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
以证据为基础将关键参数纳入急性慢性肝衰竭MELD评分。
背景:终末期肝病(MELD)评分模型被广泛用于终末期肝病的预后,但在急性慢性肝衰竭(ACLF)中的表现有限。在本研究中,我们确定了额外的预测参数,并对MELD评分进行了改革,以更准确地预测ACLF。方法:对相关研究进行荟萃分析,以确定ACLF 28天/90天预后的预测因素,并在两个大型前瞻性队列中进行验证。将预测参数纳入MELD评分,形成预后评分。对模型进行了评价,重点是判别和标定。结果:meta分析纳入了32项队列研究,共13939例患者,其中确定了13个危险因素,并在来自两个前瞻性队列的751例ACLF患者中验证了除MELD评分外的3个危险因素(年龄、中性粒细胞计数和肝性脑病(HE)分级)。新模型(中国急性-慢性肝衰竭联盟(CATCH-LIFE)-MELD评分)如下:0.028×age+0.3×HE分级+0.039×neutrophil计数+0.079×MELD评分。CATCH-LIFE-MELD评分28天/90天结局的一致性指数为0.791/0.788,优于其他传统评分。其他判别指标,包括净重分类改进、综合判别改进和概率密度函数,以及Nagelkerke's R2和Brier评分的校准,均证实了该方法的优越性。此外,CATCH-LIFE-MELD评分的准确性保持稳定。在有或没有乙型肝炎病毒感染、肝硬化、肝功能衰竭或符合中国重型乙型肝炎研究小组(COSSH)标准或欧洲肝脏研究协会(EASL)标准的患者中,死亡率最高。所有结果均通过外部队列评估得到证实。结论:CATCH-LIFE-MELD评分,一种改良的MELD评分在预测ACLF短期预后方面比其他传统评分具有更高的准确性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 去求助
来源期刊
自引率
0.00%
发文量
0
期刊最新文献
Exercise and dietary interventions ameliorate MASLD via the hepatic PPARγ-miR-802-Psmd2 axis. High-dose taurine supplementation exacerbates alcohol-associated liver disease by inducing gut microbiota dysbiosis and bile acid dysregulation in mice. Amyloidogenic phenotypical variation affects post-transplant outcome of hereditary transthyretin amyloidosis: a retrospective study. Reduced fibre-fermenting capacity of gut microbes in multiple sclerosis may result in prebiotic dietary fibre β-fructan promoting inflammation and CNS damage. Correction: Regulatory T cells in liver metastases: emerging and divergent roles in tumour progression.
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:604180095
Book学术
文献互助 智能选刊 最新文献 互助须知 联系我们:info@booksci.cn
Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。
Copyright © 2023 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1