Individual patient data meta-analysis of controlled attenuation parameter (CAP) technology for assessing steatosis

脂肪变性 医学 脂肪肝 瞬态弹性成像 内科学 分级(工程) 荟萃分析 衰减 协变量 脂肪变 核医学 肝硬化 统计 数学 生物 物理 肝纤维化 疾病 光学 生态学
作者
Thomas Karlas,David Petroff,M. Sasso,Jian-Gao Fan,Yuqiang Mi,Victor de Lédinghen,Manoj Kumar,Monica Lupșor‐Platon,Kwang–Hyub Han,Ana Carolina Cardoso,Giovanna Ferraioli,Wah‐Kheong Chan,Vincent Wai‐Sun Wong,Robert P. Myers,Kazuaki Chayama,Mireen Friedrich‐Rust,Michel Beaugrand,Feng Shen,Jean-Baptiste Hiriart,Shiv Kumar Sarin
出处
期刊:Journal of Hepatology [Elsevier BV]
卷期号:66 (5): 1022-1030 被引量:953
标识
DOI:10.1016/j.jhep.2016.12.022
摘要

Background & Aims The prevalence of fatty liver underscores the need for non-invasive characterization of steatosis, such as the ultrasound based controlled attenuation parameter (CAP). Despite good diagnostic accuracy, clinical use of CAP is limited due to uncertainty regarding optimal cut-offs and the influence of covariates. We therefore conducted an individual patient data meta-analysis. Methods A review of the literature identified studies containing histology verified CAP data (M probe, vibration controlled transient elastography with FibroScan®) for grading of steatosis (S0–S3). Receiver operating characteristic analysis after correcting for center effects was used as well as mixed models to test the impact of covariates on CAP. The primary outcome was establishing CAP cut-offs for distinguishing steatosis grades. Results Data from 19/21 eligible papers were provided, comprising 3830/3968 (97%) of patients. Considering data overlap and exclusion criteria, 2735 patients were included in the final analysis (37% hepatitis B, 36% hepatitis C, 20% NAFLD/NASH, 7% other). Steatosis distribution was 51%/27%/16%/6% for S0/S1/S2/S3. CAP values in dB/m (95% CI) were influenced by several covariates with an estimated shift of 10 (4.5–17) for NAFLD/NASH patients, 10 (3.5–16) for diabetics and 4.4 (3.8–5.0) per BMI unit. Areas under the curves were 0.823 (0.809–0.837) and 0.865 (0.850–0.880) respectively. Optimal cut-offs were 248 (237–261) and 268 (257–284) for those above S0 and S1 respectively. Conclusions CAP provides a standardized non-invasive measure of hepatic steatosis. Prevalence, etiology, diabetes, and BMI deserve consideration when interpreting CAP. Longitudinal data are needed to demonstrate how CAP relates to clinical outcomes. Lay summary There is an increase in fatty liver for patients with chronic liver disease, linked to the epidemic of the obesity. Invasive liver biopsies are considered the best means of diagnosing fatty liver. The ultrasound based controlled attenuation parameter (CAP) can be used instead, but factors such as the underlying disease, BMI and diabetes must be taken into account. Registration: Prospero CRD42015027238. The prevalence of fatty liver underscores the need for non-invasive characterization of steatosis, such as the ultrasound based controlled attenuation parameter (CAP). Despite good diagnostic accuracy, clinical use of CAP is limited due to uncertainty regarding optimal cut-offs and the influence of covariates. We therefore conducted an individual patient data meta-analysis. A review of the literature identified studies containing histology verified CAP data (M probe, vibration controlled transient elastography with FibroScan®) for grading of steatosis (S0–S3). Receiver operating characteristic analysis after correcting for center effects was used as well as mixed models to test the impact of covariates on CAP. The primary outcome was establishing CAP cut-offs for distinguishing steatosis grades. Data from 19/21 eligible papers were provided, comprising 3830/3968 (97%) of patients. Considering data overlap and exclusion criteria, 2735 patients were included in the final analysis (37% hepatitis B, 36% hepatitis C, 20% NAFLD/NASH, 7% other). Steatosis distribution was 51%/27%/16%/6% for S0/S1/S2/S3. CAP values in dB/m (95% CI) were influenced by several covariates with an estimated shift of 10 (4.5–17) for NAFLD/NASH patients, 10 (3.5–16) for diabetics and 4.4 (3.8–5.0) per BMI unit. Areas under the curves were 0.823 (0.809–0.837) and 0.865 (0.850–0.880) respectively. Optimal cut-offs were 248 (237–261) and 268 (257–284) for those above S0 and S1 respectively. CAP provides a standardized non-invasive measure of hepatic steatosis. Prevalence, etiology, diabetes, and BMI deserve consideration when interpreting CAP. Longitudinal data are needed to demonstrate how CAP relates to clinical outcomes.
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
更新
PDF的下载单位、IP信息已删除 (2025-6-4)

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
bkagyin应助科研通管家采纳,获得10
刚刚
烟花应助科研通管家采纳,获得10
刚刚
刚刚
充电宝应助科研通管家采纳,获得10
刚刚
刚刚
刚刚
科目三应助科研通管家采纳,获得10
刚刚
七七发布了新的文献求助10
刚刚
小马甲应助科研通管家采纳,获得10
刚刚
不懈奋进应助科研通管家采纳,获得30
刚刚
无花果应助科研通管家采纳,获得10
1秒前
慕青应助科研通管家采纳,获得10
1秒前
1秒前
NexusExplorer应助科研通管家采纳,获得10
1秒前
1秒前
1秒前
1秒前
zwenng发布了新的文献求助10
2秒前
丘比特应助Sun采纳,获得10
2秒前
2秒前
科研小农民关注了科研通微信公众号
2秒前
活力元冬发布了新的文献求助10
2秒前
cooper完成签到 ,获得积分10
2秒前
3秒前
小马甲应助冷酷新柔采纳,获得10
3秒前
暖暖完成签到,获得积分10
3秒前
BWL完成签到,获得积分10
4秒前
4秒前
mirayq完成签到,获得积分10
5秒前
5秒前
景玉发布了新的文献求助30
5秒前
wen完成签到,获得积分10
6秒前
慕青应助chenchen978采纳,获得20
7秒前
royan完成签到,获得积分10
7秒前
8秒前
金金发布了新的文献求助10
8秒前
丁昆发布了新的文献求助10
9秒前
天天快乐应助Lee采纳,获得10
9秒前
zhangyue7777完成签到,获得积分10
9秒前
9秒前
高分求助中
【提示信息,请勿应助】关于scihub 10000
The Mother of All Tableaux: Order, Equivalence, and Geometry in the Large-scale Structure of Optimality Theory 3000
A new approach to the extrapolation of accelerated life test data 1000
徐淮辽南地区新元古代叠层石及生物地层 500
Coking simulation aids on-stream time 450
康复物理因子治疗 400
北师大毕业论文 基于可调谐半导体激光吸收光谱技术泄漏气体检测系统的研究 390
热门求助领域 (近24小时)
化学 材料科学 医学 生物 工程类 有机化学 生物化学 物理 内科学 纳米技术 计算机科学 化学工程 复合材料 遗传学 基因 物理化学 催化作用 冶金 细胞生物学 免疫学
热门帖子
关注 科研通微信公众号,转发送积分 4016787
求助须知:如何正确求助?哪些是违规求助? 3556966
关于积分的说明 11323317
捐赠科研通 3289698
什么是DOI,文献DOI怎么找? 1812525
邀请新用户注册赠送积分活动 888139
科研通“疑难数据库(出版商)”最低求助积分说明 812121