Division of Gastroenterology and Hepatology, Stanford University Medical Center, Palo Alto, California, USA.
The Robert Larner, M.D. College of Medicine, The University of Vermont, Burlington, Vermont, USA.
Dig Dis. 2023;41(5):767-779. doi: 10.1159/000526503. Epub 2022 Aug 16.
Noninvasive tests (NITs) are necessary for knowing the true prevalence of fatty liver (FL) and advanced fibrosis. NITs for diagnosis of FL and fibrosis were compared.
Data were obtained from the National Health and Examination Survey (2017-2018). Participants were excluded with other liver diseases, missing data for NIT calculation, and/or excessive alcohol use. Area under the receiver operating characteristic (AUROC) compared the accuracy of 4 FL NITs (CAP, HSI, FLI, USFLI) among themselves and to CAP value of 285 dB/m and 5 fibrosis NITs (transient elastography, APRI, NFS, FIB-4, HEPAmet) among themselves and to LSM ≥8.7 kPa.
Among 2,051 participants (average age 47 (±17.7), 48% males, 62% white, 73% overweight/obese, 39% metabolic syndrome), demographics were similar among NIT groups (CAP = 812; HSI = 1,234; FLI = 935; USFLI-824). FL prevalence by NIT: 39% CAP, 58% HSI, 47% FLI, 37% USFLI. Advanced fibrosis prevalence by test: LSM (≥8.7 kPa) 10-14%; FIB-4 (≥2.67) and APRI (≥0.7) 1.3-2.7%; HEPAmet (>0.47) 14-21%. Compared to CAP ≥285, FLI (AUROC = 0.823) and USFLI (AUROC = 0.833) performed better than HSI (AUROC: 0.798). Compared to LSM ≥8.7 kPa, only NFS (AUROC = 0.722) performed well (FIB-4 AUROC = 0.606; APRI = 0.647; HEPAmet = 0.629). Among the CAP cohort, the strongest FL predictor was obesity (OR: 15.2, 95% CI: 7.97-28.9, p < 0.001); the only fibrosis predictor was elevated AST (OR: 1.06, 95% CI: 1.00-1.12, p = 0.04). The addition of CAP or LSM as a second NIT reduced the number of indeterminate patients especially for FL.
Regardless of diagnostic method in 2017-2018, the prevalence of NAFLD was >35%. NITs for FL performed well but not for advanced fibrosis. CAP and LSM as a second NIT reduced those considered indeterminate.
非侵入性检测(NIT)对于了解脂肪肝(FL)和肝纤维化的真实流行率是必要的。比较了用于诊断 FL 和纤维化的 NIT。
数据来自全国健康与体检调查(2017-2018 年)。排除患有其他肝病、NIT 计算数据缺失、或过量饮酒的参与者。比较了 4 种 FL NIT(CAP、HSI、FLI、USFLI)之间以及与 CAP 值 285 dB/m 和 5 种纤维化 NIT(瞬态弹性成像、APRI、NFS、FIB-4、HEPAmet)之间的准确性,以及与 LSM≥8.7 kPa 之间的准确性。
在 2051 名参与者(平均年龄 47(±17.7)岁,48%为男性,62%为白人,73%超重/肥胖,39%代谢综合征)中,NIT 组的人口统计学特征相似(CAP=812;HSI=1234;FLI=935;USFLI-824)。按 NIT 检测的 FL 患病率:CAP 为 39%,HSI 为 58%,FLI 为 47%,USFLI 为 37%。按检测方法的肝纤维化患病率:LSM(≥8.7 kPa)为 10-14%;FIB-4(≥2.67)和 APRI(≥0.7)为 1.3-2.7%;HEPAmet(>0.47)为 14-21%。与 CAP≥285 相比,FLI(AUROC=0.823)和 USFLI(AUROC=0.833)的表现优于 HSI(AUROC:0.798)。与 LSM≥8.7 kPa 相比,只有 NFS(AUROC=0.722)表现良好(FIB-4 AUROC=0.606;APRI=0.647;HEPAmet=0.629)。在 CAP 队列中,最强的 FL 预测因子是肥胖(OR:15.2,95%CI:7.97-28.9,p<0.001);唯一的纤维化预测因子是 AST 升高(OR:1.06,95%CI:1.00-1.12,p=0.04)。CAP 或 LSM 作为第二 NIT 的添加减少了不确定患者的数量,特别是对于 FL。
无论在 2017-2018 年使用哪种诊断方法,NAFLD 的患病率均>35%。用于 FL 的 NIT 表现良好,但不适用于肝纤维化的检测。CAP 和 LSM 作为第二 NIT 减少了不确定的患者数量。