Volume 42 Issue 7
Jul.  2021
Turn off MathJax
Article Contents
Qin XIE, Yan-ping LIANG, Yin ZHANG, Zeng-hui XU, Li-ying YOU. Efficacy of Multiple Non-invasive Diagnostic Models in the Diagnosis of Hepatic Fibrosis in Patients with Chronic Liver Diseases[J]. Journal of Kunming Medical University, 2021, 42(7): 115-120. doi: 10.12259/j.issn.2095-610X.S20210719
Citation: Qin XIE, Yan-ping LIANG, Yin ZHANG, Zeng-hui XU, Li-ying YOU. Efficacy of Multiple Non-invasive Diagnostic Models in the Diagnosis of Hepatic Fibrosis in Patients with Chronic Liver Diseases[J]. Journal of Kunming Medical University, 2021, 42(7): 115-120. doi: 10.12259/j.issn.2095-610X.S20210719

Efficacy of Multiple Non-invasive Diagnostic Models in the Diagnosis of Hepatic Fibrosis in Patients with Chronic Liver Diseases

doi: 10.12259/j.issn.2095-610X.S20210719
  • Received Date: 2021-04-16
    Available Online: 2021-07-19
  • Publish Date: 2021-07-21
  •   Objective  To investigate the diagnostic value of APRI, FIB-4, Forns, GPR, S-index, King, RPR non-invasive models in the diagnosis of liver fibrosis in patients with chronic liver disease.  Methods  The clinical data of 67 patients with chronic liver disease who received liver biopsy in Ganmei Hospital Affiliated to Kunming Medical University from January 2016 to December 2020 were retrospectively collected. The scores of different models were calculated and compared with the pathological stages of liver biopsy for statistical analysis.  Results  Among the 7 non-invasive models, the correlation between GPR and liver fibrosis stage was the weakest (r = 0.259), while RPR was the strongest (r = 0.769). The value of RPR in the diagnosis of liver fibrosis was the highest, and the AUROC of significant liver fibrosis (≥S2), advanced liver fibrosis (≥S3) and cirrhosis (S4) were 0.866, 0.883 and 0.967, respectively. The combined predictor RPR + FIB-4 + APRI was established to improve the ability to diagnose significant liver fibrosis, advanced liver fibrosis and cirrhosis (Auroc = 0.896, 0.919, 0.973).  Conclusion  The diagnostic performance of RPP is the best among the seven non-invasive models, and the combined diagnosis of non-invasive model can improve the accuracy of the diagnosis of liver fibrosis.
  • loading
  • [1]
    Wai C T,Greenson J K,Fontana R J,et al. A simple noninvasive index can predict both significant fibrosis and cirrhosis in patients with chronic hepatitis C[J]. Hepatology,2003,38(2):518-526. doi: 10.1053/jhep.2003.50346
    [2]
    Sterling R K,Lissen E,Clumeck N,et al. Development of a simple noninvasive index to predict significant fibrosis in patients with HIV/HCV coinfection[J]. Hepatology,2006,43(6):1317-1325. doi: 10.1002/hep.21178
    [3]
    Forns X,Ampurdanès S,Llovet J M,et al. Identification of chronic hepatitis C patients without hepatic fibrosis by a simple predictive model[J]. Hepatology,2002,36(4 Pt 1):986-992.
    [4]
    Lemoine M,Shimakawa Y,Nayagam S,et al. The gamma-glutamyl transpeptidase to platelet ratio(GPR)predicts significant liver fibrosis and cirrhosis in patients with chronic HBV infection in West Africa[J]. Gut,2016,65(8):1369-1376. doi: 10.1136/gutjnl-2015-309260
    [5]
    Zhou K,Gao C F,Zhao Y P,et al. Simpler score of routine laboratory tests predicts liver fibrosis in patients with chronic hepatitis B[J]. J Gastroenterol Hepatol,2010,25(9):1569-1577. doi: 10.1111/j.1440-1746.2010.06383.x
    [6]
    Cross T J,Rizzi P,Berry P A,et al. King’s Score:an accurate marker of cirrhosis in chronic hepatitis C[J]. Eur J Gastroenterol Hepatol,2009,21(7):730-738. doi: 10.1097/MEG.0b013e32830dfcb3
    [7]
    Chen B,Ye B,Zhang J,et al. RDW to platelet ratio:a novel noninvasive index for predicting hepatic fibrosis and cirrhosis in chronic hepatitis B[J]. PLoS One,2013,8(7):e68780. doi: 10.1371/journal.pone.0068780
    [8]
    陆伦根,尤红,谢渭芬,等. 肝纤维化诊断及治疗共识(2019年)[J]. 临床肝胆病杂志,2019,35(10):2163-2172. doi: 10.3969/j.issn.1001-5256.2019.10.007
    [9]
    王贵强,段钟平,王福生,等. 慢性乙型肝炎防治指南(2019年版)[J]. 实用肝脏病杂志,2020,23(01):9-32.
    [10]
    Xiao G,Yang J,Yan L. Comparison of diagnostic accuracy of aspartate aminotransferase to platelet ratio index and fibrosis-4 index for detecting liver fibrosis in adult patients with chronic hepatitis B virus infection:a systemic review and meta-analysis[J]. Hepatology,2015,61(1):292-302. doi: 10.1002/hep.27382
    [11]
    Yuyun D,Zhihua T,Haijun W,et al. Predictive value of the red blood cell distribution width-to-platelet ratio for hepatic fibrosis[J]. Scand J Gastroenterol,2019,54(1):81-86. doi: 10.1080/00365521.2018.1558786
    [12]
    蔡莹,刘迪娜,崔静,等. 红细胞分布宽度与血小板比值在慢性肝病纤维化的预测价值[J]. 中国医药导刊,2021,23(3):161-167. doi: 10.3969/j.issn.1009-0959.2021.03.001
    [13]
    桂志兵,汪文生. 红细胞分布宽度与血小板计数比值在乙型肝炎肝硬化患者病情评估中的作用[J]. 医学信息,2018,31(20):65-68. doi: 10.3969/j.issn.1006-1959.2018.20.019
    [14]
    Wang R,Zhang Q,Zhao S,et al. Gamma-glutamyl transpeptidase to platelet ratio index is a good noninvasive biomarker for predicting liver fibrosis in Chinese chronic hepatitis B patients[J]. J Int Med Res,2016,44(6):1302-1313. doi: 10.1177/0300060516664638
    [15]
    Liu D P,Lu W,Zhang Z Q,et al. Comparative evaluation of GPR versus APRI and FIB-4 in predicting different levels of liver fibrosis of chronic hepatitis B[J]. J Viral Hepat,2018,25(5):581-589. doi: 10.1111/jvh.12842
    [16]
    Huang R,Wang G,Tian C,et al. Gamma-glutamyl-transpeptidase to platelet ratio is not superior to APRI,FIB-4 and RPR for diagnosing liver fibrosis in CHB patients in China[J]. Sci Rep,2017,7(1):8543. doi: 10.1038/s41598-017-09234-w
    [17]
    Schiavon L L,Narciso-schiavon J L,Ferraz M,et al. The γ-glutamyl transpeptidase to platelet ratio(GPR)in HBV patients:just adding up?[J]. Gut,2017,66(6):1169-1170. doi: 10.1136/gutjnl-2016-312658
    [18]
    Yanchao H,Hao L,Xiaoyan L,et al. Value of gamma-glutamyltranspeptidase-to-platelet ratio in diagnosis of hepatic fibrosis in patients with chronic hepatitis B[J]. World J Gastroenterol,2017,23(41):7425-7432. doi: 10.3748/wjg.v23.i41.7425
    [19]
    王海莉,贾因棠. APRI、GPRI、FIB-4在诊断慢乙肝肝脏纤维化及肝癌中的临床应用价值[J]. 山西医科大学学报,2018,49(6):650-654.
  • Relative Articles

    [1] Shumei QIU, Jingrui YANG, Xuecai QIU. The Risk and Influencing Factors of Vascular Dementia in Middle-aged and Elderly People in Kunming. Journal of Kunming Medical University, 2024, 45(9): 91-96.  doi: 10.12259/j.issn.2095-610X.S20240914
    [2] Siqi LI, Wenlin TAI. Significance of CXCL10 as a Biomarker of Liver Cirrhosis. Journal of Kunming Medical University, 2022, 43(7): 55-61.  doi: 10.12259/j.issn.2095-610X.S20220711
    [3] Di HE, Peng CHEN, Feng LIU, Yang XU, Lei HAN, Wenjing DING. Progress in Etiology and Pathogenesis of Liver Fibrosis. Journal of Kunming Medical University, 2022, 43(11): 165-171.  doi: 10.12259/j.issn.2095-610X.S20221122
    [4] Li-xiang REN, You-deng PU, Jia-qi WANG, Ya-jun WANG, Hui-mei YUAN, Yi-chen HUANG, Qing LI, San-li YI. Synovial Volume Quantitative Analysis of MRI and Serological Comparison in the Evaluation of Juvenile Idiopathic Arthritis. Journal of Kunming Medical University, 2021, 42(7): 64-69.  doi: 10.12259/j.issn.2095-610X.S20210710
    [5] Li Ting , Deng Shu Hao , Liu Yong Jun , Dong Zhao Xing . . Journal of Kunming Medical University, 2019, 40(08): 1-5.
    [6] Cao Yu Ting , Wang Qi Xian , Yang Ping . . Journal of Kunming Medical University, 2019, 40(04): 136-139.
    [7] Tan Jian Ling , Li Jiang , Xu Guang Fang , Xu Ying Fang . . Journal of Kunming Medical University, 2018, 39(09): 73-76.
    [8] Wang Ying Xia . Anti-fibrotic Effect of Kudancao Tablets on Bleomycin-induced Pulmonary Fibrosis in Rats. Journal of Kunming Medical University,
    [9] Li Ye . Expression and Effects of New Fibrotic Gene SFTPA2 in Unilateral Ureteral Obstruction Rats with Renal Interstitial Fibrosis. Journal of Kunming Medical University,
    [10] Zhou Ying . The Influence of GSH Combined ETV on Liver Fibrosis Indexes of Patients with CHB. Journal of Kunming Medical University,
    [11] Sun Yue , Wei Jia , Lu Yong Ping , Wang Jin , Zou Yu , Wang Yu Xue , Yang Mi . Quantitative Analysis on Staging of Chronic Viral Hepatitis B and Hepatic Fibrosis by Real-time Shear Wave Elastography. Journal of Kunming Medical University, 2016, 37(11): 55-59.
    [12] Wang Yan Ping . . Journal of Kunming Medical University,
    [13] Dong Zhao Xing . . Journal of Kunming Medical University,
    [14] He Min . . Journal of Kunming Medical University,
    [15] Yang Jing . . Journal of Kunming Medical University,
    [16] Liu Dong . . Journal of Kunming Medical University,
    [17] Dang Yong . . Journal of Kunming Medical University,
    [18] Li Ming Ming . . Journal of Kunming Medical University,
    [19] Zhou Shu . . Journal of Kunming Medical University,
    [20] Zeng Jin . . Journal of Kunming Medical University,
  • 加载中

Catalog

    通讯作者: 陈斌, bchen63@163.com
    • 1. 

      沈阳化工大学材料科学与工程学院 沈阳 110142

    1. 本站搜索
    2. 百度学术搜索
    3. 万方数据库搜索
    4. CNKI搜索

    Figures(1)  / Tables(5)

    Article Metrics

    Article views (3344) PDF downloads(32) Cited by()
    Proportional views
    Related

    /

    DownLoad:  Full-Size Img  PowerPoint
    Return
    Return