Division of Gastroenterology and Hepatology, Department of Medicine, Cook County Health and Hospital System, Chicago, IL, USA.
Department of Medicine, Cook County Health and Hospital System, Chicago, IL, USA.
J Gastrointest Cancer. 2022 Jun;53(2):387-393. doi: 10.1007/s12029-021-00620-2. Epub 2021 Mar 8.
Transient elastography (TE) provides accurate quantification of liver fibrosis. Its usefulness could be significantly amplified in terms of predicting liver-associated clinical events (LACE). Our aim was to create a model that accurately predicts LACE by combining the information provided by TE with other variables in patients with chronic liver disease (CLD).
We retrospectively reviewed the electronic medical records of patients who underwent liver elastography, at John H. Stroger Hospital in Cook County, Chicago, IL. The incidences of LACE were documented including decompensation of CLD, new hepatocellular carcinoma, and liver-associated mortality. Significant predicting factors were identified through a forward stepwise Cox regression model. We used the beta-coefficients of these risk factors to construct the Cook Score for prediction of LACE. Receiver-operating characteristic (ROC) curves were plotted for Cook Score to evaluate its efficiency in prediction, in comparison with MELD-Na Score and FIB-4 Score.
A total of 3097 patients underwent liver elastography at our institution. Eighty-eight LACE were identified. Age (hazard ratio (HR) 1.04, p = 0.002), aspartate aminotransferase to alanine aminotransferase ratio (HR 2.61, p < 0.001), platelet count (HR 0.98, p < 0.001), international normalized ration (INR) (HR 17.80, p < 0.001), and liver stiffness measurement (HR1.04, p < 0.001) were identified as significant predictors. The Cook Score was constructed with two optimal cut-off points to stratify patients into low-, intermediate-, and high-risk groups for LACE. The Cook Score proved superior than MELD-Na Score and FIB4 Score in predicting LACE with an area under curve of 0.828.
This novel score based on a large robust sample would provide accurate prediction of prognosis in patients with chronic liver disease and guide individualized surveillance strategy once validated with future studies.
瞬时弹性成像(TE)可准确量化肝纤维化。在预测与肝脏相关的临床事件(LACE)方面,其用途可能会显著扩大。我们的目的是创建一个模型,该模型通过将 TE 提供的信息与慢性肝病(CLD)患者的其他变量相结合,准确预测 LACE。
我们回顾性地审查了在伊利诺伊州芝加哥约翰·H·斯特罗格医院接受肝脏弹性成像的患者的电子病历。记录了 LACE 的发生率,包括 CLD 失代偿、新的肝细胞癌和与肝脏相关的死亡率。通过向前逐步 Cox 回归模型确定了有意义的预测因素。我们使用这些危险因素的β系数来构建用于预测 LACE 的 Cook 评分。绘制 Cook 评分的接收者操作特征(ROC)曲线,以评估其与 MELD-Na 评分和 FIB-4 评分相比预测 LACE 的效率。
共有 3097 例患者在我们机构进行了肝脏弹性成像。确定了 88 例 LACE。年龄(风险比(HR)1.04,p=0.002)、天门冬氨酸氨基转移酶与丙氨酸氨基转移酶比值(HR 2.61,p<0.001)、血小板计数(HR 0.98,p<0.001)、国际标准化比值(INR)(HR 17.80,p<0.001)和肝硬度测量(HR1.04,p<0.001)被确定为有意义的预测因素。使用两个最佳截断值构建了 Cook 评分,将患者分为 LACE 的低危、中危和高危组。Cook 评分在预测 LACE 方面优于 MELD-Na 评分和 FIB4 评分,曲线下面积为 0.828。
该评分基于大型稳健样本,可为慢性肝病患者的预后提供准确预测,并在未来研究中验证后为个体化监测策略提供指导。