Department of Internal Medicine , Virginia Commonwealth University (VCU) , Richmond , Virginia , USA.
Department of Surgery , University of Maryland , Baltimore , Maryland , USA.
Liver Transpl. 2023 Feb 1;29(2):196-205. doi: 10.1002/lt.26568. Epub 2023 Jan 17.
Combining bioclinical parameters with liver stiffness measurement (LSM) has improved the diagnostic performance of vibration-controlled transient elastography (VCTE) for detection of advanced fibrosis in patients with chronic liver disease. However, this approach has not yet been tested in liver transplantation (LT) recipients. Thus, the aim of this study was to evaluate the diagnostic performance of combining LSM-based scores with LSM alone for the detection of advanced fibrosis in LT recipients. Adult LT recipients with a liver biopsy, VCTE, and clinical data necessary to construct LSM-based fibrosis models (FibroScan-AST [FAST], AGILE-3+, and AGILE-4) were included ( n = 132). The diagnostic statistics for advanced fibrosis (fibrosis stage 0-2 vs. 3-4) were determined by optimal cut-off using the Youden index. The area under the receiver operating characteristic curve (AUROC) for LSM was 0.94 (95% confidence interval [95% CI], 0.89-0.99), FAST was 0.65 (95% CI, 0.50-0.79), AGILE-3+ was 0.90 (95% CI, 0.83-0.97), and AGILE-4 was 0.90 (95% CI, 0.83-0.97). No statistically significant differences were noted between the AUROC of LSM versus LSM-based scores. The false-positive rates for AGILE-3+ and AGILE-4 were 14.5% and 11.8% compared with 8.3% for LSM alone. The false-positive rates in LSM-based scores were higher among patients with diabetes mellitus, higher AST levels, and lower platelet counts. The LSM-based scores did not improve the diagnostic performance of LSM alone in LT recipients for the detection of advanced fibrosis. This lack of improvement in diagnostic performance results from the impact of immunosuppression on bioclinical profile and underscores the importance of developing LSM-based scores that are specific to LT patients.
将生物临床参数与肝脏硬度测量(LSM)相结合,提高了振动控制瞬态弹性成像(VCTE)检测慢性肝病患者中晚期纤维化的诊断性能。然而,这种方法尚未在肝移植(LT)受者中进行测试。因此,本研究旨在评估 LSM 联合 LSM 评分对 LT 受者中晚期纤维化检测的诊断性能。纳入了有肝活检、VCTE 和构建 LSM 评分纤维化模型(FibroScan-AST [FAST]、AGILE-3+和 AGILE-4)所需的临床数据的成年 LT 受者(n=132)。采用 Youden 指数确定最佳截断值,确定晚期纤维化(纤维化分期 0-2 与 3-4)的诊断统计数据。LSM 的受试者工作特征曲线(AUROC)为 0.94(95%置信区间[95%CI],0.89-0.99),FAST 为 0.65(95%CI,0.50-0.79),AGILE-3+为 0.90(95%CI,0.83-0.97),AGILE-4 为 0.90(95%CI,0.83-0.97)。LSM 与 LSM 评分之间的 AUROC 无统计学差异。AGILE-3+和 AGILE-4 的假阳性率分别为 14.5%和 11.8%,而 LSM 单独的假阳性率为 8.3%。在糖尿病、较高的 AST 水平和较低的血小板计数患者中,LSM 评分的假阳性率更高。在 LT 受者中,LSM 评分并未改善 LSM 单独对晚期纤维化的诊断性能。这种诊断性能的改善缺乏,源于免疫抑制对生物临床特征的影响,突出了开发针对 LT 患者的 LSM 评分的重要性。