A prognostic model of acute-on-chronic liver failure based on sarcopenia

肌萎缩 医学 内科学 肝病学 结直肠外科 肝衰竭 外科肿瘤学 胃肠病学 重症监护医学 腹部外科
作者
Hong Peng,Qian Zhang,Lei Luo,Siyi Lei,Tao Xiong,Long Li,Yan Xiong,Liulu Zhang,Jinding Zheng,Xinhua Luo
出处
期刊:Hepatology International [Springer Science+Business Media]
卷期号:16 (4): 964-972 被引量:12
标识
DOI:10.1007/s12072-022-10363-2
摘要

Abstract Background Acute-on-chronic liver failure (ACLF) is characterized by the development of a syndrome associated with a high risk of short-term death in patients with acute decompensated cirrhosis, and better indicators are needed to predict such outcomes. Sarcopenia, a common complication of cirrhosis, is closely associated with poor prognosis and increased mortality. In this study, the skeletal muscle index of ACLF patients was measured to determine whether sarcopenia combined with clinical parameters can aid in identifying those at high risk of progression. Methods A total of 433 hospitalized patients with ACLF according to the APASL criteria were included and allocated into two groups: transplantation-free survival ( n = 293) or progression ( n = 140, 107 died; 33 underwent liver transplantation) within 90 days. Muscle mass was assessed based on the skeletal muscle index. The optimal cut-off value of the AMPAS1 model (age, MELD score, platelet count, alpha-fetoprotein level, sarcopenia, and more than one complication combination) for progression prediction was identified using receiver-operating characteristic (ROC) analysis. Results Sarcopenia was an independent risk factor for progression in the ACLF population (HR 3.771 95% CI 2.114–6.727, p < 0.001). AMPAS1 was a good predictor, with an area under the ROC curve of 0.865, and the cut-off value for poor outcome prediction was 0.31 (sensitivity 79.4%, specificity 76.4%). Conclusion We demonstrate that sarcopenia is a simple and objective indicator for predicting short-term prognosis in patients with ACLF. Moreover, compared to conventional prognostic scores, AMPAS1 is a better model for predicting 90 day adverse outcomes in ACLF patients.

科研通智能强力驱动
Strongly Powered by AbleSci AI
科研通是完全免费的文献互助平台,具备全网最快的应助速度,最高的求助完成率。 对每一个文献求助,科研通都将尽心尽力,给求助人一个满意的交代。
实时播报
2秒前
cyr关注了科研通微信公众号
3秒前
晚风轻吹完成签到,获得积分10
3秒前
cjx发布了新的文献求助10
4秒前
胡宇轩发布了新的文献求助10
5秒前
Muttu发布了新的文献求助10
5秒前
搜集达人应助霸王柚柚柚采纳,获得10
6秒前
lululucy发布了新的文献求助30
8秒前
8秒前
xiaofei应助科研通管家采纳,获得10
9秒前
薯片应助科研通管家采纳,获得10
9秒前
Parrot_PAI完成签到,获得积分10
9秒前
9秒前
9秒前
10秒前
可爱的函函应助123采纳,获得10
12秒前
huangyikun完成签到,获得积分10
13秒前
dypdyp发布了新的文献求助10
14秒前
14秒前
西瓜妹发布了新的文献求助10
14秒前
Laity完成签到,获得积分10
14秒前
丘比特应助胡宇轩采纳,获得10
15秒前
FAN完成签到,获得积分10
15秒前
zrz完成签到,获得积分10
19秒前
pineapple完成签到,获得积分10
19秒前
可靠的南露完成签到,获得积分10
20秒前
20秒前
乘方完成签到,获得积分10
20秒前
orixero应助桥木有舟采纳,获得10
22秒前
123完成签到,获得积分10
23秒前
23秒前
24秒前
结实的老虎完成签到,获得积分10
24秒前
乘方发布了新的文献求助10
24秒前
英姑应助阿媛呐采纳,获得10
25秒前
无花果应助李春晓采纳,获得10
26秒前
Jelly发布了新的文献求助10
26秒前
小白完成签到,获得积分10
27秒前
123发布了新的文献求助10
29秒前
29秒前
高分求助中
(应助此贴封号)【重要!!请各用户(尤其是新用户)详细阅读】【科研通的精品贴汇总】 10000
PowerCascade: A Synthetic Dataset for Cascading Failure Analysis in Power Systems 2000
Picture this! Including first nations fiction picture books in school library collections 1500
Instituting Science: The Cultural Production of Scientific Disciplines 666
Signals, Systems, and Signal Processing 610
The Organization of knowledge in modern America, 1860-1920 / 600
Unlocking Chemical Thinking: Reimagining Chemistry Teaching and Learning 555
热门求助领域 (近24小时)
化学 材料科学 医学 生物 纳米技术 工程类 有机化学 化学工程 生物化学 计算机科学 物理 内科学 复合材料 催化作用 物理化学 光电子学 电极 细胞生物学 基因 无机化学
热门帖子
关注 科研通微信公众号,转发送积分 6360672
求助须知:如何正确求助?哪些是违规求助? 8174755
关于积分的说明 17219039
捐赠科研通 5415740
什么是DOI,文献DOI怎么找? 2866032
邀请新用户注册赠送积分活动 1843284
关于科研通互助平台的介绍 1691337