Association between non-invasive liver fibrosis scores and occurrence of health adverse outcomes in older people

医学 内科学 纤维化 肝纤维化 危险系数 比例危险模型 丙氨酸转氨酶 胃肠病学 不利影响 置信区间
作者
Antonio De Vincentis,Luisa Di Costanzo,Umberto Vespasiani‐Gentilucci,Antonio Picardi,Stefania Bandinelli,Luigi Ferrucci,Raffaele Antonelli Incalzi,Claudio Pedone
出处
期刊:Digestive and Liver Disease [Elsevier]
卷期号:51 (9): 1330-1336 被引量:23
标识
DOI:10.1016/j.dld.2019.01.017
摘要

Background The relation between liver fibrosis scores and health outcomes in older people has been barely investigated. We aimed to evaluate the association of four liver fibrosis scores (fibrosis-4 -FIB-4-, NAFLD fibrosis score -NFS-, BARD and aspartate aminotransferase/alanine aminotransferase ratio -AST/ALT-) with mortality and incident disability at 6 years in an older population. Methods We studied 962 individuals aged ≥65 (mean age 74.4; female 55.5%) with a mean follow-up of 95.7 months, enrolled in the InCHIANTI study. The relationship between liver fibrosis scores and mortality and disability was assessed through Cox and log-binomial regressions. Results NFS and FIB-4 were associated with higher overall (aHR ranging 1.38–1.78 for intermediate risk of fibrosis and 1.60–2.02 for high risk) and cardiovascular (aHR ranging 1.76–2.90 for intermediate and 2.22–2.42 for high risk) mortality. AST/ALT and BARD were only associated with overall mortality. Only NFS and FIB-4 high risk classes were associated with incident disability (aRR ranging 1.93–2.76). Despite poor sensitivity, all scores showed high specificity (ranging 0.88–0.95). Conclusion Higher risk of liver fibrosis is associated with higher risk of poor health outcomes. Liver fibrosis scores may help to stratify the risk and, mainly, identify elderly patients with favorable prognosis.
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
1秒前
番茄炒西红柿完成签到,获得积分10
2秒前
无限安蕾完成签到,获得积分10
2秒前
2秒前
飘逸蘑菇发布了新的文献求助10
3秒前
混沌完成签到,获得积分10
3秒前
3秒前
3秒前
3秒前
xg发布了新的文献求助10
5秒前
看看发布了新的文献求助10
6秒前
6秒前
6秒前
6秒前
Annie完成签到,获得积分10
7秒前
7秒前
通~发布了新的文献求助30
8秒前
8秒前
雨雾发布了新的文献求助10
9秒前
daiyapeng完成签到,获得积分10
9秒前
ivy应助科研通管家采纳,获得10
10秒前
科研通AI2S应助科研通管家采纳,获得10
10秒前
Jasper应助科研通管家采纳,获得10
10秒前
10秒前
科研通AI5应助科研通管家采纳,获得10
10秒前
科研通AI5应助科研通管家采纳,获得10
10秒前
NN应助科研通管家采纳,获得10
10秒前
36456657应助科研通管家采纳,获得10
10秒前
科研通AI5应助科研通管家采纳,获得30
10秒前
Hello应助科研通管家采纳,获得10
10秒前
科研通AI5应助科研通管家采纳,获得10
10秒前
李爱国应助科研通管家采纳,获得10
10秒前
NN应助科研通管家采纳,获得10
11秒前
充电宝应助科研通管家采纳,获得10
11秒前
11秒前
36456657应助科研通管家采纳,获得10
11秒前
NN应助科研通管家采纳,获得10
11秒前
爆米花应助科研通管家采纳,获得10
11秒前
科研通AI5应助科研通管家采纳,获得10
11秒前
11秒前
高分求助中
Continuum Thermodynamics and Material Modelling 3000
Production Logging: Theoretical and Interpretive Elements 2700
Social media impact on athlete mental health: #RealityCheck 1020
Ensartinib (Ensacove) for Non-Small Cell Lung Cancer 1000
Unseen Mendieta: The Unpublished Works of Ana Mendieta 1000
Bacterial collagenases and their clinical applications 800
El viaje de una vida: Memorias de María Lecea 800
热门求助领域 (近24小时)
化学 材料科学 生物 医学 工程类 有机化学 生物化学 物理 纳米技术 计算机科学 内科学 化学工程 复合材料 基因 遗传学 物理化学 催化作用 量子力学 光电子学 冶金
热门帖子
关注 科研通微信公众号,转发送积分 3527884
求助须知:如何正确求助?哪些是违规求助? 3108006
关于积分的说明 9287444
捐赠科研通 2805757
什么是DOI,文献DOI怎么找? 1540033
邀请新用户注册赠送积分活动 716904
科研通“疑难数据库(出版商)”最低求助积分说明 709794