Assessment of Liver Fibrosis Using Non-invasive Screening Tools in Individuals With Diabetes Mellitus and Metabolic Syndrome

被引:5
|
作者
Shaji, Namitha [1 ]
Singhai, Abhishek [1 ]
Sarawagi, Radha [2 ]
Pakhare, Abhijit P. [3 ]
Mishra, V. N. [1 ]
Joshi, Rajnish [4 ]
机构
[1] All India Inst Med Sci AIIMS, Internal Med, Bhopal, India
[2] All India Inst Med Sci AIIMS, Radiodiag, Bhopal, India
[3] All India Inst Med Sci AIIMS, Community & Family Med, Bhopal, India
[4] All India Inst Med Sci, Internal Med, Bhopal, Bhopal, India
关键词
hepatic fibrosis; metabolic disorder; diabetes type 2; cirrhosis; nonalcoholic fatty liver disease (nafld); NAFLD; VALIDATION; SYSTEMS; DISEASE; BIOPSY; INDEX;
D O I
10.7759/cureus.22682
中图分类号
R5 [内科学];
学科分类号
1002 ; 100201 ;
摘要
Introduction: Despite the rising prevalence of liver fibrosis and its potentially life-threatening complications, there are currently no recommendations or guidelines to screen individuals with diabetes mellitus (DM) or high body mass index (BMI) for non-alcoholic fatty liver disease (NAFLD)/non-alcoholic steatohepatitis (NASH). This is mainly due to the uncertain performance and feasibility of presently available screening tools. This research was carried out to assess the diagnostic accuracy of non-invasive screening tools in predicting liver fibrosis in individuals with DM and metabolic syndrome. Methods: For this study, 140 patients with DM and metabolic syndrome were identified between March 2020 and October 2021. Liver stiffness measurement by point shear wave elastography was considered the gold standard in our study. Five non-invasive scores such as aspartate aminotransferase/alanine aminotransferase (AST/ALT) ratio, aspartate aminotransferase to platelet ratio index (APRI) score, fibrosis-4 (FIB-4) index, BARD score, and NAFLD fibrosis score were determined in all of the participants. Using receiver operator characteristic (ROC) curve analysis, sensitivity, specificity, both negative predictive value (NPV) and positive predictive value ( PPV) were calculated for each of these scores. The area under the ROC curve (AUROC) was used to calculate the diagnostic accuracy of these scores. Results: Of the 507 individuals screened, 140 were enrolled for the study. Among the 140 participants, 83 were male (59.29%), 30 (21.43%) had liver fibrosis as per liver stiffness measurement by point shear wave elastography, and 110 (78.57%) did not have fibrosis. The mean age and mean BMI were 54.53 +/- 12.42 and 27.37 +/- 2.73 respectively in the 'Fibrosis' group and 56.20 +/- 11.76 and 27.10 +/- 4.22 in the 'No fibrosis' group. The major finding of our study was that all these scores had relatively high NPV (>85 %) for predicting liver fibrosis in our cohort. The AST/ALT ratio had the highest NPV (90.28%) followed by APRI Score (88.94%). The AUROC for FIB-4 Score, NAFLD-fibrosis score, APRI score, AST/ALT ratio, and BARDd score were 0.6669, 0.657, 0.655, 0.637 and 0.599, respectively. The FIB-4 index (p=0.005) had the highest AUROC, followed by the NAFLD-fibrosis score (p = 0.009). But all the scores had relatively low specificity (<60 %), PPV (<35 %), and accuracy (<63 %). Conclusion: The FIB-4 index and NAFLD-fibrosis score can be used reliably to exclude liver fibrosis in individuals with DM and metabolic syndrome in the Indian population, but may not be useful in accurately diagnosing liver fibrosis. Utilization of these non-invasive and cost-effective screening tools in routine practice may have promising results in predicting liver fibrosis in 'at risk' populations.
引用
收藏
页数:15
相关论文
共 50 条
  • [21] The evolving role of non-invasive assessment for liver fibrosis
    Wang, Peng
    Pan, Calvin Q.
    Liu, Yali
    Zhang, Jing
    GASTROENTEROLOGY REPORT, 2024, 12
  • [22] Using non-invasive assessment methods to predict the risk of metabolic syndrome
    Hsiung, Der-Yun
    Liu, Chia-Wei
    Cheng, Pi-Chen
    Ma, Wei-Fen
    APPLIED NURSING RESEARCH, 2015, 28 (02) : 72 - 77
  • [23] Non-Invasive Screening Tools for Down's Syndrome: A Review
    Sillence, Kelly A.
    Madgett, Tracey E.
    Roberts, Llinos A.
    Overton, Timothy G.
    Avent, Neil D.
    DIAGNOSTICS, 2013, 3 (02): : 291 - 314
  • [24] Non-invasive detection of liver fibrosis in patients hospitalized with diabetes
    Gonzalez, C.
    Rigalleau, V.
    Maury, E.
    Gin, H.
    Beauvieux, M. -C.
    Vergniol, J.
    Foucher, J.
    Villars, S.
    De Ledinghen, V.
    DIABETES & METABOLISM, 2011, 37 : A77 - A77
  • [25] Non-invasive assessment of liver fibrosis in chronic hepatitis B using FibroScan®
    Marcellin, P
    De Ledinghen, V
    Dhumeaux, D
    Poupon, R
    Ziol, M
    Bedossa, P
    Beaugrand, M
    HEPATOLOGY, 2005, 42 (04) : 715A - 716A
  • [26] Non-invasive evaluation of hepatic fibrosis in diabetes mellitus patients with non alcoholic fatty liver disease (NAFLD)
    Lee, T. S.
    Santha, K. Dato
    Sia, K. K.
    Lau, Katrina
    Ruben, R.
    Khor, B. P.
    JOURNAL OF GASTROENTEROLOGY AND HEPATOLOGY, 2010, 25 : A104 - A105
  • [27] Non-invasive assessment of liver fibrosis in patients with alcoholic liver disease
    Rosa Lombardi
    Elena Buzzetti
    Davide Roccarina
    Emmanuel A Tsochatzis
    World Journal of Gastroenterology, 2015, (39) : 11044 - 11052
  • [28] Can non-invasive assessment of liver fibrosis replace liver biopsy?
    Yoshioka, Kentaro
    Hashimoto, Senju
    HEPATOLOGY RESEARCH, 2012, 42 (03) : 233 - 240
  • [29] Non-invasive assessment of liver fibrosis in patients with alcoholic liver disease
    Lombardi, Rosa
    Buzzetti, Elena
    Roccarina, Davide
    Tsochatzis, Emmanuel A.
    WORLD JOURNAL OF GASTROENTEROLOGY, 2015, 21 (39) : 11044 - 11052
  • [30] Real-time elastography “FibroScan” compared to simple non-invasive screening tools in the assessment of liver fibrosis in non-alcoholic fatty liver patients
    Ayman Mohamed Shamseya
    Mohamed Tamer Afify
    Hussam Ahmed Shawki Fayad
    Mohamed Mahmoud Elshafey
    Egyptian Liver Journal, 12