Diagnostic accuracy of non-invasive tests for advanced fibrosis in patients with NAFLD: an individual patient data meta-analysis
Objective Liver biopsy is still needed for fibrosis staging in many patients with non-alcoholic fatty liver disease. The aims of this study were to evaluate the individual diagnostic performance of liver stiffness measurement by vibration controlled transient elastography (LSM-VCTE), Fibrosis-4 Inde...
Main Authors: | , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , |
---|---|
Format: | Journal article |
Language: | English |
Published: |
BMJ Publishing Group
2021
|
_version_ | 1826307774062002176 |
---|---|
author | Mózes, FE Lee, JA Selvaraj, EA Jayaswal, ANA Trauner, M Boursier, J Fournier, C Staufer, K Stauber, RE Bugianesi, E Younes, R Gaia, S Lupșor-Platon, M Petta, S Shima, T Okanoue, T Mahadeva, S Chan, W-K Eddowes, PJ Newsome, PN Wong, VW-S de Ledinghen, V Fan, J Shen, F Cobbold, JF Sumida, Y Okajima, A Schattenberg, JM Labenz, C Kim, W Lee, MS Wiegand, J Karlas, T Yılmaz, Y Aithal, GP Palaniyappan, N Cassinotto, C Aggarwal, S Garg, H Ooi, GJ Nakajima, A Yoneda, M Ziol, M Barget, N Geier, A Tuthill, T Brosnan, MJ Anstee, QM Neubauer, S Harrison, SA |
author_facet | Mózes, FE Lee, JA Selvaraj, EA Jayaswal, ANA Trauner, M Boursier, J Fournier, C Staufer, K Stauber, RE Bugianesi, E Younes, R Gaia, S Lupșor-Platon, M Petta, S Shima, T Okanoue, T Mahadeva, S Chan, W-K Eddowes, PJ Newsome, PN Wong, VW-S de Ledinghen, V Fan, J Shen, F Cobbold, JF Sumida, Y Okajima, A Schattenberg, JM Labenz, C Kim, W Lee, MS Wiegand, J Karlas, T Yılmaz, Y Aithal, GP Palaniyappan, N Cassinotto, C Aggarwal, S Garg, H Ooi, GJ Nakajima, A Yoneda, M Ziol, M Barget, N Geier, A Tuthill, T Brosnan, MJ Anstee, QM Neubauer, S Harrison, SA |
author_sort | Mózes, FE |
collection | OXFORD |
description | Objective Liver biopsy is still needed for fibrosis staging in many patients with non-alcoholic fatty liver disease. The aims of this study were to evaluate the individual diagnostic performance of liver stiffness measurement by vibration controlled transient elastography (LSM-VCTE), Fibrosis-4 Index (FIB-4) and NAFLD (non-alcoholic fatty liver disease) Fibrosis Score (NFS) and to derive diagnostic strategies that could reduce the need for liver biopsies.
Design Individual patient data meta-analysis of studies evaluating LSM-VCTE against liver histology was conducted. FIB-4 and NFS were computed where possible. Sensitivity, specificity and area under the receiver operating curve (AUROC) were calculated. Biomarkers were assessed individually and in sequential combinations.
Results Data were included from 37 primary studies (n=5735; 45% women; median age: 54 years; median body mass index: 30 kg/m2; 33% had type 2 diabetes; 30% had advanced fibrosis). AUROCs of individual LSM-VCTE, FIB-4 and NFS for advanced fibrosis were 0.85, 0.76 and 0.73. Sequential combination of FIB-4 cut-offs (<1.3; ≥2.67) followed by LSM-VCTE cut-offs (<8.0; ≥10.0 kPa) to rule-in or rule-out advanced fibrosis had sensitivity and specificity (95% CI) of 66% (63–68) and 86% (84–87) with 33% needing a biopsy to establish a final diagnosis. FIB-4 cut-offs (<1.3; ≥3.48) followed by LSM cut-offs (<8.0; ≥20.0 kPa) to rule out advanced fibrosis or rule in cirrhosis had a sensitivity of 38% (37–39) and specificity of 90% (89–91) with 19% needing biopsy.
Conclusion Sequential combinations of markers with a lower cut-off to rule-out advanced fibrosis and a higher cut-off to rule-in cirrhosis can reduce the need for liver biopsies.
|
first_indexed | 2024-03-07T07:08:08Z |
format | Journal article |
id | oxford-uuid:aaccb08c-ab81-4cfe-8fc4-82621380cef5 |
institution | University of Oxford |
language | English |
last_indexed | 2024-03-07T07:08:08Z |
publishDate | 2021 |
publisher | BMJ Publishing Group |
record_format | dspace |
spelling | oxford-uuid:aaccb08c-ab81-4cfe-8fc4-82621380cef52022-05-18T08:07:41ZDiagnostic accuracy of non-invasive tests for advanced fibrosis in patients with NAFLD: an individual patient data meta-analysisJournal articlehttp://purl.org/coar/resource_type/c_dcae04bcuuid:aaccb08c-ab81-4cfe-8fc4-82621380cef5EnglishSymplectic ElementsBMJ Publishing Group2021Mózes, FELee, JASelvaraj, EAJayaswal, ANATrauner, MBoursier, JFournier, CStaufer, KStauber, REBugianesi, EYounes, RGaia, SLupșor-Platon, MPetta, SShima, TOkanoue, TMahadeva, SChan, W-KEddowes, PJNewsome, PNWong, VW-Sde Ledinghen, VFan, JShen, FCobbold, JFSumida, YOkajima, ASchattenberg, JMLabenz, CKim, WLee, MSWiegand, JKarlas, TYılmaz, YAithal, GPPalaniyappan, NCassinotto, CAggarwal, SGarg, HOoi, GJNakajima, AYoneda, MZiol, MBarget, NGeier, ATuthill, TBrosnan, MJAnstee, QMNeubauer, SHarrison, SAObjective Liver biopsy is still needed for fibrosis staging in many patients with non-alcoholic fatty liver disease. The aims of this study were to evaluate the individual diagnostic performance of liver stiffness measurement by vibration controlled transient elastography (LSM-VCTE), Fibrosis-4 Index (FIB-4) and NAFLD (non-alcoholic fatty liver disease) Fibrosis Score (NFS) and to derive diagnostic strategies that could reduce the need for liver biopsies. Design Individual patient data meta-analysis of studies evaluating LSM-VCTE against liver histology was conducted. FIB-4 and NFS were computed where possible. Sensitivity, specificity and area under the receiver operating curve (AUROC) were calculated. Biomarkers were assessed individually and in sequential combinations. Results Data were included from 37 primary studies (n=5735; 45% women; median age: 54 years; median body mass index: 30 kg/m2; 33% had type 2 diabetes; 30% had advanced fibrosis). AUROCs of individual LSM-VCTE, FIB-4 and NFS for advanced fibrosis were 0.85, 0.76 and 0.73. Sequential combination of FIB-4 cut-offs (<1.3; ≥2.67) followed by LSM-VCTE cut-offs (<8.0; ≥10.0 kPa) to rule-in or rule-out advanced fibrosis had sensitivity and specificity (95% CI) of 66% (63–68) and 86% (84–87) with 33% needing a biopsy to establish a final diagnosis. FIB-4 cut-offs (<1.3; ≥3.48) followed by LSM cut-offs (<8.0; ≥20.0 kPa) to rule out advanced fibrosis or rule in cirrhosis had a sensitivity of 38% (37–39) and specificity of 90% (89–91) with 19% needing biopsy. Conclusion Sequential combinations of markers with a lower cut-off to rule-out advanced fibrosis and a higher cut-off to rule-in cirrhosis can reduce the need for liver biopsies. |
spellingShingle | Mózes, FE Lee, JA Selvaraj, EA Jayaswal, ANA Trauner, M Boursier, J Fournier, C Staufer, K Stauber, RE Bugianesi, E Younes, R Gaia, S Lupșor-Platon, M Petta, S Shima, T Okanoue, T Mahadeva, S Chan, W-K Eddowes, PJ Newsome, PN Wong, VW-S de Ledinghen, V Fan, J Shen, F Cobbold, JF Sumida, Y Okajima, A Schattenberg, JM Labenz, C Kim, W Lee, MS Wiegand, J Karlas, T Yılmaz, Y Aithal, GP Palaniyappan, N Cassinotto, C Aggarwal, S Garg, H Ooi, GJ Nakajima, A Yoneda, M Ziol, M Barget, N Geier, A Tuthill, T Brosnan, MJ Anstee, QM Neubauer, S Harrison, SA Diagnostic accuracy of non-invasive tests for advanced fibrosis in patients with NAFLD: an individual patient data meta-analysis |
title | Diagnostic accuracy of non-invasive tests for advanced fibrosis in patients with NAFLD: an individual patient data meta-analysis |
title_full | Diagnostic accuracy of non-invasive tests for advanced fibrosis in patients with NAFLD: an individual patient data meta-analysis |
title_fullStr | Diagnostic accuracy of non-invasive tests for advanced fibrosis in patients with NAFLD: an individual patient data meta-analysis |
title_full_unstemmed | Diagnostic accuracy of non-invasive tests for advanced fibrosis in patients with NAFLD: an individual patient data meta-analysis |
title_short | Diagnostic accuracy of non-invasive tests for advanced fibrosis in patients with NAFLD: an individual patient data meta-analysis |
title_sort | diagnostic accuracy of non invasive tests for advanced fibrosis in patients with nafld an individual patient data meta analysis |
work_keys_str_mv | AT mozesfe diagnosticaccuracyofnoninvasivetestsforadvancedfibrosisinpatientswithnafldanindividualpatientdatametaanalysis AT leeja diagnosticaccuracyofnoninvasivetestsforadvancedfibrosisinpatientswithnafldanindividualpatientdatametaanalysis AT selvarajea diagnosticaccuracyofnoninvasivetestsforadvancedfibrosisinpatientswithnafldanindividualpatientdatametaanalysis AT jayaswalana diagnosticaccuracyofnoninvasivetestsforadvancedfibrosisinpatientswithnafldanindividualpatientdatametaanalysis AT traunerm diagnosticaccuracyofnoninvasivetestsforadvancedfibrosisinpatientswithnafldanindividualpatientdatametaanalysis AT boursierj diagnosticaccuracyofnoninvasivetestsforadvancedfibrosisinpatientswithnafldanindividualpatientdatametaanalysis AT fournierc diagnosticaccuracyofnoninvasivetestsforadvancedfibrosisinpatientswithnafldanindividualpatientdatametaanalysis AT stauferk diagnosticaccuracyofnoninvasivetestsforadvancedfibrosisinpatientswithnafldanindividualpatientdatametaanalysis AT stauberre diagnosticaccuracyofnoninvasivetestsforadvancedfibrosisinpatientswithnafldanindividualpatientdatametaanalysis AT bugianesie diagnosticaccuracyofnoninvasivetestsforadvancedfibrosisinpatientswithnafldanindividualpatientdatametaanalysis AT younesr diagnosticaccuracyofnoninvasivetestsforadvancedfibrosisinpatientswithnafldanindividualpatientdatametaanalysis AT gaias diagnosticaccuracyofnoninvasivetestsforadvancedfibrosisinpatientswithnafldanindividualpatientdatametaanalysis AT lupsorplatonm diagnosticaccuracyofnoninvasivetestsforadvancedfibrosisinpatientswithnafldanindividualpatientdatametaanalysis AT pettas diagnosticaccuracyofnoninvasivetestsforadvancedfibrosisinpatientswithnafldanindividualpatientdatametaanalysis AT shimat diagnosticaccuracyofnoninvasivetestsforadvancedfibrosisinpatientswithnafldanindividualpatientdatametaanalysis AT okanouet diagnosticaccuracyofnoninvasivetestsforadvancedfibrosisinpatientswithnafldanindividualpatientdatametaanalysis AT mahadevas diagnosticaccuracyofnoninvasivetestsforadvancedfibrosisinpatientswithnafldanindividualpatientdatametaanalysis AT chanwk diagnosticaccuracyofnoninvasivetestsforadvancedfibrosisinpatientswithnafldanindividualpatientdatametaanalysis AT eddowespj diagnosticaccuracyofnoninvasivetestsforadvancedfibrosisinpatientswithnafldanindividualpatientdatametaanalysis AT newsomepn diagnosticaccuracyofnoninvasivetestsforadvancedfibrosisinpatientswithnafldanindividualpatientdatametaanalysis AT wongvws diagnosticaccuracyofnoninvasivetestsforadvancedfibrosisinpatientswithnafldanindividualpatientdatametaanalysis AT deledinghenv diagnosticaccuracyofnoninvasivetestsforadvancedfibrosisinpatientswithnafldanindividualpatientdatametaanalysis AT fanj diagnosticaccuracyofnoninvasivetestsforadvancedfibrosisinpatientswithnafldanindividualpatientdatametaanalysis AT shenf diagnosticaccuracyofnoninvasivetestsforadvancedfibrosisinpatientswithnafldanindividualpatientdatametaanalysis AT cobboldjf diagnosticaccuracyofnoninvasivetestsforadvancedfibrosisinpatientswithnafldanindividualpatientdatametaanalysis AT sumiday diagnosticaccuracyofnoninvasivetestsforadvancedfibrosisinpatientswithnafldanindividualpatientdatametaanalysis AT okajimaa diagnosticaccuracyofnoninvasivetestsforadvancedfibrosisinpatientswithnafldanindividualpatientdatametaanalysis AT schattenbergjm diagnosticaccuracyofnoninvasivetestsforadvancedfibrosisinpatientswithnafldanindividualpatientdatametaanalysis AT labenzc diagnosticaccuracyofnoninvasivetestsforadvancedfibrosisinpatientswithnafldanindividualpatientdatametaanalysis AT kimw diagnosticaccuracyofnoninvasivetestsforadvancedfibrosisinpatientswithnafldanindividualpatientdatametaanalysis AT leems diagnosticaccuracyofnoninvasivetestsforadvancedfibrosisinpatientswithnafldanindividualpatientdatametaanalysis AT wiegandj diagnosticaccuracyofnoninvasivetestsforadvancedfibrosisinpatientswithnafldanindividualpatientdatametaanalysis AT karlast diagnosticaccuracyofnoninvasivetestsforadvancedfibrosisinpatientswithnafldanindividualpatientdatametaanalysis AT yılmazy diagnosticaccuracyofnoninvasivetestsforadvancedfibrosisinpatientswithnafldanindividualpatientdatametaanalysis AT aithalgp diagnosticaccuracyofnoninvasivetestsforadvancedfibrosisinpatientswithnafldanindividualpatientdatametaanalysis AT palaniyappann diagnosticaccuracyofnoninvasivetestsforadvancedfibrosisinpatientswithnafldanindividualpatientdatametaanalysis AT cassinottoc diagnosticaccuracyofnoninvasivetestsforadvancedfibrosisinpatientswithnafldanindividualpatientdatametaanalysis AT aggarwals diagnosticaccuracyofnoninvasivetestsforadvancedfibrosisinpatientswithnafldanindividualpatientdatametaanalysis AT gargh diagnosticaccuracyofnoninvasivetestsforadvancedfibrosisinpatientswithnafldanindividualpatientdatametaanalysis AT ooigj diagnosticaccuracyofnoninvasivetestsforadvancedfibrosisinpatientswithnafldanindividualpatientdatametaanalysis AT nakajimaa diagnosticaccuracyofnoninvasivetestsforadvancedfibrosisinpatientswithnafldanindividualpatientdatametaanalysis AT yonedam diagnosticaccuracyofnoninvasivetestsforadvancedfibrosisinpatientswithnafldanindividualpatientdatametaanalysis AT ziolm diagnosticaccuracyofnoninvasivetestsforadvancedfibrosisinpatientswithnafldanindividualpatientdatametaanalysis AT bargetn diagnosticaccuracyofnoninvasivetestsforadvancedfibrosisinpatientswithnafldanindividualpatientdatametaanalysis AT geiera diagnosticaccuracyofnoninvasivetestsforadvancedfibrosisinpatientswithnafldanindividualpatientdatametaanalysis AT tuthillt diagnosticaccuracyofnoninvasivetestsforadvancedfibrosisinpatientswithnafldanindividualpatientdatametaanalysis AT brosnanmj diagnosticaccuracyofnoninvasivetestsforadvancedfibrosisinpatientswithnafldanindividualpatientdatametaanalysis AT ansteeqm diagnosticaccuracyofnoninvasivetestsforadvancedfibrosisinpatientswithnafldanindividualpatientdatametaanalysis AT neubauers diagnosticaccuracyofnoninvasivetestsforadvancedfibrosisinpatientswithnafldanindividualpatientdatametaanalysis AT harrisonsa diagnosticaccuracyofnoninvasivetestsforadvancedfibrosisinpatientswithnafldanindividualpatientdatametaanalysis |