Association between longitudinal biomarkers and major adverse liver outcomes in patients with non-cirrhotic metabolic dysfunction–associated steatotic liver disease

医学 生物标志物 内科学 肝病 队列 不利影响 胃肠病学 肝活检 活检 生物化学 化学
作者
Ying Shang,Camilla Akbari,Maja Dodd,Xiao Zhang,Tongtong Wang,Thomas Jemielita,Gail Fernandes,Samuel S. Engel,Patrik Nasr,Johan Vessby,Fredrik Rorsman,Stergios Kechagias,Per Stål,Mattias Ekstedt,Hannes Hagström
出处
期刊:Hepatology [Lippincott Williams & Wilkins]
卷期号:81 (5): 1501-1511 被引量:17
标识
DOI:10.1097/hep.0000000000001045
摘要

BACKGROUND AND AIMS: Noninvasive biomarkers provide prognostic information for the development of major adverse liver outcomes (MALOs) in patients with metabolic dysfunction-associated steatotic liver disease (MASLD), but the predictive value of longitudinal biomarker measurements has not been evaluated. We assessed whether changes in biomarkers could predict incident MALO in MASLD. APPROACH AND RESULTS: We analyzed a cohort of 1260 patients (71.7% on biopsy) with non-cirrhotic MASLD between 1974 and 2019. Data at baseline and follow-up visits were obtained from medical charts. MALO was determined through medical charts and linkage to national registers until the end of 2020. A joint modeling approach was used to quantify the associations between the trajectory of biomarkers and the risk of MALO. MASLD was diagnosed at a median age of 52 years (IQR: 39-60), and 59% were male. During a median follow-up of 12.2 years, 111 (8.8%) patients developed MALO. The joint modeling showed that an elevated fibrosis-4 score (HR: 2.60, 95% CI: 1.89-3.50), aspartate aminotransferase (HR: 2.69, 95% CI: 2.57-3.05), and lower platelet count (HR: 0.93, 95% CI: 0.90-0.97) at any time point were associated with an increased risk of MALO, whereas the rate of change in these biomarkers had no association with this risk. CONCLUSIONS: In addition to baseline measurements of noninvasive biomarkers such as fibrosis-4 score, aspartate aminotransferase, and platelets taken at MASLD diagnosis, monitoring their values over time is important, as the latest value of these biomarkers is closely associated with the risk of future MALO. The rate of change may not be as important.
最长约 10秒,即可获得该文献文件

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
刘刘发布了新的文献求助20
1秒前
2秒前
HXZR0924完成签到,获得积分20
2秒前
Hzml完成签到 ,获得积分10
3秒前
野性的眼睛完成签到,获得积分10
3秒前
SciGPT应助活泼的绿蝶采纳,获得10
3秒前
科研通AI6.3应助头头采纳,获得10
4秒前
Aaaaa发布了新的文献求助10
4秒前
Vanff完成签到,获得积分10
5秒前
ydz发布了新的文献求助10
5秒前
ccc完成签到,获得积分10
5秒前
z落水无痕完成签到,获得积分10
6秒前
vali完成签到,获得积分10
6秒前
Criminology34应助shenxixi采纳,获得10
7秒前
rh1006完成签到,获得积分10
7秒前
季然完成签到,获得积分10
7秒前
ZM完成签到,获得积分10
8秒前
ddd完成签到,获得积分10
8秒前
和谐的万仇完成签到,获得积分10
9秒前
10秒前
科研通AI6.4应助JLL丽丽采纳,获得10
10秒前
11秒前
11秒前
地之衣兮完成签到 ,获得积分10
12秒前
萝卜家大小姐完成签到,获得积分10
12秒前
含蓄戾完成签到 ,获得积分10
13秒前
Amy完成签到,获得积分0
13秒前
sandra433发布了新的文献求助10
13秒前
高兴白山完成签到,获得积分10
14秒前
海豚完成签到,获得积分10
14秒前
果汁完成签到,获得积分10
14秒前
王都对完成签到,获得积分10
14秒前
凌轩完成签到 ,获得积分10
15秒前
海洋球完成签到,获得积分10
15秒前
动听初雪发布了新的文献求助10
15秒前
现实的幻露完成签到,获得积分10
15秒前
猫尔儿完成签到,获得积分10
15秒前
Mr_chen发布了新的文献求助10
15秒前
aafrr完成签到 ,获得积分10
15秒前
hetao286完成签到,获得积分10
15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
Les Mantodea de Guyane: Insecta, Polyneoptera [The Mantids of French Guiana] 2500
Atlas of Aligner Treatment and Planning A Case-Based Approach 1000
悉尼大学博士学位论文,题目:Modelling and testing of one-sided stitched laminated composites. 作者:Kristopher P. Plain 700
Soil mites of the family Rhagidiidae (Actinedida: Eupodoidea). Morphology, Systematics, Ecology 520
Matrix Methods in Data Mining and Pattern Recognition Second Edition 510
丝光沸石活性位点定向调控及其二甲醚羰基化性能研究 500
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 内科学 物理 复合材料 催化作用 细胞生物学 无机化学 光电子学 物理化学 电极 基因
热门帖子
关注 科研通微信公众号,转发送积分 7433014
求助须知:如何正确求助?哪些是违规求助? 9034736
关于积分的说明 19246948
捐赠科研通 7059242
什么是DOI,文献DOI怎么找? 3236651
关于科研通互助平台的介绍 2400260
邀请新用户注册赠送积分活动 2219863