Division of Gastroenterology and Hepatology , Department of Medicine , Stanford University , Redwood City , California , USA.
Gastroenterology and Hepatology Unit , Division of Internal Medicine , Prince of Songkla University , Hat Yai , Thailand.
Hepatology. 2023 Jan 1;77(1):256-267. doi: 10.1002/hep.32545. Epub 2022 May 24.
NAFLD is common in primary care. Liver fibrosis stage 2 or higher (≥F2) increases future risk of morbidity and mortality. We developed and validated a score to aid in the initial assessment of liver fibrosis for NAFLD in primary care.
Data from patients with biopsy-proven NAFLD were extracted from the NASH Clinical Research Network observational study ( n = 676). Using logistic regression and machine-learning methods, we constructed prediction models to distinguish ≥F2 from F0/1. The models were tested in participants in a trial ("FLINT," n = 280) and local patients with NAFLD with magnetic resonance elastography data ( n = 130). The final model was applied to examinees in the National Health and Nutrition Examination Survey (NHANES) III ( n = 11,953) to correlate with long-term mortality.
A multivariable logistic regression model was selected as the Steatosis-Associated Fibrosis Estimator (SAFE) score, which consists of age, body mass index, diabetes, platelets, aspartate and alanine aminotransferases, and globulins (total serum protein minus albumin). The model yielded areas under receiver operating characteristic curves ≥0.80 in distinguishing F0/1 from ≥F2 in testing data sets, consistently higher than those of Fibrosis-4 and NAFLD Fibrosis Scores. The negative predictive values in ruling out ≥F2 at SAFE of 0 were 88% and 92% in the two testing sets. In the NHANES III set, survival up to 25 years of subjects with SAFE < 0 was comparable to that of those without steatosis ( p = 0.34), whereas increasing SAFE scores correlated with shorter survival with an adjusted HR of 1.53 ( p < 0.01) for subjects with SAFE > 100.
The SAFE score, which uses widely available variables to estimate liver fibrosis in patients diagnosed with NAFLD, may be used in primary care to recognize low-risk NAFLD.
非酒精性脂肪性肝病(NAFLD)在基层医疗中较为常见。肝纤维化 2 期或更高(≥F2)会增加未来发病和死亡的风险。我们开发并验证了一种评分系统,以帮助基层医疗中 NAFLD 患者初始评估肝纤维化。
从 NASH 临床研究网络观察性研究(n=676)中提取经活检证实的 NAFLD 患者的数据。使用逻辑回归和机器学习方法,我们构建了预测模型,以区分≥F2 和 F0/1。在一项试验(“FLINT”,n=280)和具有磁共振弹性成像数据的当地 NAFLD 患者(n=130)中对模型进行了测试。最终模型应用于国家健康和营养调查(NHANES)III 检查者(n=11953),以与长期死亡率相关联。
选择多元逻辑回归模型作为脂肪性肝炎相关纤维化评分(SAFE),该模型由年龄、体重指数、糖尿病、血小板、天冬氨酸和丙氨酸转氨酶以及球蛋白(总血清蛋白减去白蛋白)组成。该模型在测试数据集区分 F0/1 与≥F2 的受试者工作特征曲线下面积(AUC)≥0.80,明显高于 Fibrosis-4 和 NAFLD 纤维化评分。在 SAFE 评分<0 时,排除≥F2 的阴性预测值在两个测试组中分别为 88%和 92%。在 NHANES III 组中,SAFE<0 的受试者的生存时间与无脂肪变性的受试者相似(p=0.34),而 SAFE 评分的增加与生存率的降低相关,SAFE>100 的受试者的校正 HR 为 1.53(p<0.01)。
SAFE 评分使用广泛可用的变量来估计诊断为 NAFLD 的患者的肝纤维化程度,可用于基层医疗以识别低风险的 NAFLD。