Low Accuracy of FIB-4 and NAFLD Fibrosis Scores for Screening for Liver Fibrosis in the Population
Fibrosis-4 (FIB-4) and the nonalcoholic fatty liver disease fibrosis score (NFS) are the 2 most popular noninvasive blood-based serum tests proposed for widespread fibrosis screening. We therefore aimed to describe the accuracy of FIB-4 and NFS to detect elevated liver stiffness as an indicator of h...
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creator | Graupera, Isabel Thiele, Maja Serra-Burriel, Miquel Caballeria, Llorenç Roulot, Dominique Wong, Grace Lai-Hung Fabrellas, Núria Guha, Indra Neil Arslanow, Anita Expósito, Carmen Hernández, Rosario Aithal, Guruprasad Padur Galle, Peter R. Pera, Guillem Wong, Vincent Wai-Sun Lammert, Frank Ginès, Pere Castera, Laurent Krag, Aleksander |
description | Fibrosis-4 (FIB-4) and the nonalcoholic fatty liver disease fibrosis score (NFS) are the 2 most popular noninvasive blood-based serum tests proposed for widespread fibrosis screening. We therefore aimed to describe the accuracy of FIB-4 and NFS to detect elevated liver stiffness as an indicator of hepatic fibrosis in low-prevalence populations.
This study included a total of 5129 patients with concomitant measurement of FIB-4, NFS, and liver stiffness measurement (LSM) by Fibroscan (Echosens, France) from 5 independent population-based cohorts from Spain, Hong Kong, Denmark, England, and France; 3979 participants from the general population and 1150 from at-risk cohorts due to alcohol, diabetes, or obesity. We correlated LSM with FIB-4 and NFS, and calculated pre- and post-test predictive values of FIB-4 and NFS to detect elevated LSM at 8 kPa and 12 kPa cutoffs. The mean age was 53 ± 12 years, the mean body mass index was 27 ± 5 kg/m2, and 2439 (57%) were women. One in 10 patients (552; 11%) had liver stiffness ≥8 kPa, but 239 of those (43%) had a normal FIB-4, and 171 (31%) had normal NFS. The proportion of false-negatives was higher in at-risk patients than the general population. FIB-4 was false-negative in 11% of diabetic subjects, compared with 2.5% false-negatives with NFS. Waist circumference outperformed FIB-4 and NFS for detecting LSM ≥8 kPa in the general population. Almost one-third (28%–29%) of elevated FIB-4/NFS were false-positive in both the general population and at-risk cohorts.
FIB-4 and NFS are suboptimal for screening purposes due to a high risk of overdiagnosis and a non-negligible percentage of false-negatives, especially in patients with risk factors for chronic liver disease. Waist circumference emerged as a potential first step to identify patients at risk for liver fibrosis in the general population. |
doi_str_mv | 10.1016/j.cgh.2021.12.034 |
format | Article |
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This study included a total of 5129 patients with concomitant measurement of FIB-4, NFS, and liver stiffness measurement (LSM) by Fibroscan (Echosens, France) from 5 independent population-based cohorts from Spain, Hong Kong, Denmark, England, and France; 3979 participants from the general population and 1150 from at-risk cohorts due to alcohol, diabetes, or obesity. We correlated LSM with FIB-4 and NFS, and calculated pre- and post-test predictive values of FIB-4 and NFS to detect elevated LSM at 8 kPa and 12 kPa cutoffs. The mean age was 53 ± 12 years, the mean body mass index was 27 ± 5 kg/m2, and 2439 (57%) were women. One in 10 patients (552; 11%) had liver stiffness ≥8 kPa, but 239 of those (43%) had a normal FIB-4, and 171 (31%) had normal NFS. The proportion of false-negatives was higher in at-risk patients than the general population. FIB-4 was false-negative in 11% of diabetic subjects, compared with 2.5% false-negatives with NFS. Waist circumference outperformed FIB-4 and NFS for detecting LSM ≥8 kPa in the general population. Almost one-third (28%–29%) of elevated FIB-4/NFS were false-positive in both the general population and at-risk cohorts.
FIB-4 and NFS are suboptimal for screening purposes due to a high risk of overdiagnosis and a non-negligible percentage of false-negatives, especially in patients with risk factors for chronic liver disease. Waist circumference emerged as a potential first step to identify patients at risk for liver fibrosis in the general population.</description><identifier>ISSN: 1542-3565</identifier><identifier>EISSN: 1542-7714</identifier><identifier>DOI: 10.1016/j.cgh.2021.12.034</identifier><identifier>PMID: 34971806</identifier><language>eng</language><publisher>United States: Elsevier Inc</publisher><subject>Adult ; Aged ; Alcoholic Liver Disease ; Biopsy - adverse effects ; Female ; Fibrosis ; Humans ; Liver - pathology ; Liver Cirrhosis - etiology ; Liver Fibrosis ; Male ; Middle Aged ; NITs ; Non-alcoholic Fatty Liver Disease - complications ; Nonalcoholic Fatty Liver Disease ; Noninvasive Fibrosis Scores ; Prevalence ; Screening ; Severity of Illness Index ; Transient Elastography</subject><ispartof>Clinical gastroenterology and hepatology, 2022-11, Vol.20 (11), p.2567-2576.e6</ispartof><rights>2021 AGA Institute</rights><rights>Copyright © 2022 The Authors. Published by Elsevier Inc. All rights reserved.</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c396t-c7253bf00af3d11c98b004942b2b07c044d20ccb25b6dee3a5f14efe371f08be3</citedby><cites>FETCH-LOGICAL-c396t-c7253bf00af3d11c98b004942b2b07c044d20ccb25b6dee3a5f14efe371f08be3</cites><orcidid>0000-0001-9170-9784</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><link.rule.ids>314,780,784,27924,27925</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/34971806$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Graupera, Isabel</creatorcontrib><creatorcontrib>Thiele, Maja</creatorcontrib><creatorcontrib>Serra-Burriel, Miquel</creatorcontrib><creatorcontrib>Caballeria, Llorenç</creatorcontrib><creatorcontrib>Roulot, Dominique</creatorcontrib><creatorcontrib>Wong, Grace Lai-Hung</creatorcontrib><creatorcontrib>Fabrellas, Núria</creatorcontrib><creatorcontrib>Guha, Indra Neil</creatorcontrib><creatorcontrib>Arslanow, Anita</creatorcontrib><creatorcontrib>Expósito, Carmen</creatorcontrib><creatorcontrib>Hernández, Rosario</creatorcontrib><creatorcontrib>Aithal, Guruprasad Padur</creatorcontrib><creatorcontrib>Galle, Peter R.</creatorcontrib><creatorcontrib>Pera, Guillem</creatorcontrib><creatorcontrib>Wong, Vincent Wai-Sun</creatorcontrib><creatorcontrib>Lammert, Frank</creatorcontrib><creatorcontrib>Ginès, Pere</creatorcontrib><creatorcontrib>Castera, Laurent</creatorcontrib><creatorcontrib>Krag, Aleksander</creatorcontrib><creatorcontrib>Investigators of the LiverScreen Consortium</creatorcontrib><title>Low Accuracy of FIB-4 and NAFLD Fibrosis Scores for Screening for Liver Fibrosis in the Population</title><title>Clinical gastroenterology and hepatology</title><addtitle>Clin Gastroenterol Hepatol</addtitle><description>Fibrosis-4 (FIB-4) and the nonalcoholic fatty liver disease fibrosis score (NFS) are the 2 most popular noninvasive blood-based serum tests proposed for widespread fibrosis screening. We therefore aimed to describe the accuracy of FIB-4 and NFS to detect elevated liver stiffness as an indicator of hepatic fibrosis in low-prevalence populations.
This study included a total of 5129 patients with concomitant measurement of FIB-4, NFS, and liver stiffness measurement (LSM) by Fibroscan (Echosens, France) from 5 independent population-based cohorts from Spain, Hong Kong, Denmark, England, and France; 3979 participants from the general population and 1150 from at-risk cohorts due to alcohol, diabetes, or obesity. We correlated LSM with FIB-4 and NFS, and calculated pre- and post-test predictive values of FIB-4 and NFS to detect elevated LSM at 8 kPa and 12 kPa cutoffs. The mean age was 53 ± 12 years, the mean body mass index was 27 ± 5 kg/m2, and 2439 (57%) were women. One in 10 patients (552; 11%) had liver stiffness ≥8 kPa, but 239 of those (43%) had a normal FIB-4, and 171 (31%) had normal NFS. The proportion of false-negatives was higher in at-risk patients than the general population. FIB-4 was false-negative in 11% of diabetic subjects, compared with 2.5% false-negatives with NFS. Waist circumference outperformed FIB-4 and NFS for detecting LSM ≥8 kPa in the general population. Almost one-third (28%–29%) of elevated FIB-4/NFS were false-positive in both the general population and at-risk cohorts.
FIB-4 and NFS are suboptimal for screening purposes due to a high risk of overdiagnosis and a non-negligible percentage of false-negatives, especially in patients with risk factors for chronic liver disease. Waist circumference emerged as a potential first step to identify patients at risk for liver fibrosis in the general population.</description><subject>Adult</subject><subject>Aged</subject><subject>Alcoholic Liver Disease</subject><subject>Biopsy - adverse effects</subject><subject>Female</subject><subject>Fibrosis</subject><subject>Humans</subject><subject>Liver - pathology</subject><subject>Liver Cirrhosis - etiology</subject><subject>Liver Fibrosis</subject><subject>Male</subject><subject>Middle Aged</subject><subject>NITs</subject><subject>Non-alcoholic Fatty Liver Disease - complications</subject><subject>Nonalcoholic Fatty Liver Disease</subject><subject>Noninvasive Fibrosis Scores</subject><subject>Prevalence</subject><subject>Screening</subject><subject>Severity of Illness Index</subject><subject>Transient Elastography</subject><issn>1542-3565</issn><issn>1542-7714</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2022</creationdate><recordtype>article</recordtype><sourceid>EIF</sourceid><recordid>eNp9kE1v1DAQhi0EoqXwA7ggH7kkzPgj2YjT0rJQKQIk4GzFzrj1ajde7KSo_x6XXeDGaWakZ17NPIy9RKgRsHmzrd3NbS1AYI2iBqkesXPUSlRti-rxqZe60WfsWc5bANGprn3KzmQpuILmnNk-_uRr55Y0uHsePd9cv6sUH6aRf1pv-iu-CTbFHDL_6mKizH1MpU1EU5hufk99uKP0jwsTn2-Jf4mHZTfMIU7P2RM_7DK9ONUL9n3z_tvlx6r__OH6ct1XTnbNXLlWaGk9wODliOi6lQVQnRJWWGgdKDUKcM4KbZuRSA7aoyJPskUPK0vygr0-5h5S_LFQns0-ZEe73TBRXLIRDeoOWw26oHhEXbk5J_LmkMJ-SPcGwTyoNVtT1JoHtQaFKWrLzqtT_GL3NP7d-OOyAG-PAJUn7wIlk12gydEYErnZjDH8J_4XmUOICg</recordid><startdate>202211</startdate><enddate>202211</enddate><creator>Graupera, Isabel</creator><creator>Thiele, Maja</creator><creator>Serra-Burriel, Miquel</creator><creator>Caballeria, Llorenç</creator><creator>Roulot, Dominique</creator><creator>Wong, Grace Lai-Hung</creator><creator>Fabrellas, Núria</creator><creator>Guha, Indra Neil</creator><creator>Arslanow, Anita</creator><creator>Expósito, Carmen</creator><creator>Hernández, Rosario</creator><creator>Aithal, Guruprasad Padur</creator><creator>Galle, Peter R.</creator><creator>Pera, Guillem</creator><creator>Wong, Vincent Wai-Sun</creator><creator>Lammert, Frank</creator><creator>Ginès, Pere</creator><creator>Castera, Laurent</creator><creator>Krag, Aleksander</creator><general>Elsevier Inc</general><scope>6I.</scope><scope>AAFTH</scope><scope>CGR</scope><scope>CUY</scope><scope>CVF</scope><scope>ECM</scope><scope>EIF</scope><scope>NPM</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>7X8</scope><orcidid>https://orcid.org/0000-0001-9170-9784</orcidid></search><sort><creationdate>202211</creationdate><title>Low Accuracy of FIB-4 and NAFLD Fibrosis Scores for Screening for Liver Fibrosis in the Population</title><author>Graupera, Isabel ; Thiele, Maja ; Serra-Burriel, Miquel ; Caballeria, Llorenç ; Roulot, Dominique ; Wong, Grace Lai-Hung ; Fabrellas, Núria ; Guha, Indra Neil ; Arslanow, Anita ; Expósito, Carmen ; Hernández, Rosario ; Aithal, Guruprasad Padur ; Galle, Peter R. ; Pera, Guillem ; Wong, Vincent Wai-Sun ; Lammert, Frank ; Ginès, Pere ; Castera, Laurent ; Krag, Aleksander</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c396t-c7253bf00af3d11c98b004942b2b07c044d20ccb25b6dee3a5f14efe371f08be3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2022</creationdate><topic>Adult</topic><topic>Aged</topic><topic>Alcoholic Liver Disease</topic><topic>Biopsy - adverse effects</topic><topic>Female</topic><topic>Fibrosis</topic><topic>Humans</topic><topic>Liver - pathology</topic><topic>Liver Cirrhosis - etiology</topic><topic>Liver Fibrosis</topic><topic>Male</topic><topic>Middle Aged</topic><topic>NITs</topic><topic>Non-alcoholic Fatty Liver Disease - complications</topic><topic>Nonalcoholic Fatty Liver Disease</topic><topic>Noninvasive Fibrosis Scores</topic><topic>Prevalence</topic><topic>Screening</topic><topic>Severity of Illness Index</topic><topic>Transient Elastography</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Graupera, Isabel</creatorcontrib><creatorcontrib>Thiele, Maja</creatorcontrib><creatorcontrib>Serra-Burriel, Miquel</creatorcontrib><creatorcontrib>Caballeria, Llorenç</creatorcontrib><creatorcontrib>Roulot, Dominique</creatorcontrib><creatorcontrib>Wong, Grace Lai-Hung</creatorcontrib><creatorcontrib>Fabrellas, Núria</creatorcontrib><creatorcontrib>Guha, Indra Neil</creatorcontrib><creatorcontrib>Arslanow, Anita</creatorcontrib><creatorcontrib>Expósito, Carmen</creatorcontrib><creatorcontrib>Hernández, Rosario</creatorcontrib><creatorcontrib>Aithal, Guruprasad Padur</creatorcontrib><creatorcontrib>Galle, Peter R.</creatorcontrib><creatorcontrib>Pera, Guillem</creatorcontrib><creatorcontrib>Wong, Vincent Wai-Sun</creatorcontrib><creatorcontrib>Lammert, Frank</creatorcontrib><creatorcontrib>Ginès, Pere</creatorcontrib><creatorcontrib>Castera, Laurent</creatorcontrib><creatorcontrib>Krag, Aleksander</creatorcontrib><creatorcontrib>Investigators of the LiverScreen Consortium</creatorcontrib><collection>ScienceDirect Open Access Titles</collection><collection>Elsevier:ScienceDirect:Open Access</collection><collection>Medline</collection><collection>MEDLINE</collection><collection>MEDLINE (Ovid)</collection><collection>MEDLINE</collection><collection>MEDLINE</collection><collection>PubMed</collection><collection>CrossRef</collection><collection>MEDLINE - Academic</collection><jtitle>Clinical gastroenterology and hepatology</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Graupera, Isabel</au><au>Thiele, Maja</au><au>Serra-Burriel, Miquel</au><au>Caballeria, Llorenç</au><au>Roulot, Dominique</au><au>Wong, Grace Lai-Hung</au><au>Fabrellas, Núria</au><au>Guha, Indra Neil</au><au>Arslanow, Anita</au><au>Expósito, Carmen</au><au>Hernández, Rosario</au><au>Aithal, Guruprasad Padur</au><au>Galle, Peter R.</au><au>Pera, Guillem</au><au>Wong, Vincent Wai-Sun</au><au>Lammert, Frank</au><au>Ginès, Pere</au><au>Castera, Laurent</au><au>Krag, Aleksander</au><aucorp>Investigators of the LiverScreen Consortium</aucorp><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Low Accuracy of FIB-4 and NAFLD Fibrosis Scores for Screening for Liver Fibrosis in the Population</atitle><jtitle>Clinical gastroenterology and hepatology</jtitle><addtitle>Clin Gastroenterol Hepatol</addtitle><date>2022-11</date><risdate>2022</risdate><volume>20</volume><issue>11</issue><spage>2567</spage><epage>2576.e6</epage><pages>2567-2576.e6</pages><issn>1542-3565</issn><eissn>1542-7714</eissn><abstract>Fibrosis-4 (FIB-4) and the nonalcoholic fatty liver disease fibrosis score (NFS) are the 2 most popular noninvasive blood-based serum tests proposed for widespread fibrosis screening. We therefore aimed to describe the accuracy of FIB-4 and NFS to detect elevated liver stiffness as an indicator of hepatic fibrosis in low-prevalence populations.
This study included a total of 5129 patients with concomitant measurement of FIB-4, NFS, and liver stiffness measurement (LSM) by Fibroscan (Echosens, France) from 5 independent population-based cohorts from Spain, Hong Kong, Denmark, England, and France; 3979 participants from the general population and 1150 from at-risk cohorts due to alcohol, diabetes, or obesity. We correlated LSM with FIB-4 and NFS, and calculated pre- and post-test predictive values of FIB-4 and NFS to detect elevated LSM at 8 kPa and 12 kPa cutoffs. The mean age was 53 ± 12 years, the mean body mass index was 27 ± 5 kg/m2, and 2439 (57%) were women. One in 10 patients (552; 11%) had liver stiffness ≥8 kPa, but 239 of those (43%) had a normal FIB-4, and 171 (31%) had normal NFS. The proportion of false-negatives was higher in at-risk patients than the general population. FIB-4 was false-negative in 11% of diabetic subjects, compared with 2.5% false-negatives with NFS. Waist circumference outperformed FIB-4 and NFS for detecting LSM ≥8 kPa in the general population. Almost one-third (28%–29%) of elevated FIB-4/NFS were false-positive in both the general population and at-risk cohorts.
FIB-4 and NFS are suboptimal for screening purposes due to a high risk of overdiagnosis and a non-negligible percentage of false-negatives, especially in patients with risk factors for chronic liver disease. Waist circumference emerged as a potential first step to identify patients at risk for liver fibrosis in the general population.</abstract><cop>United States</cop><pub>Elsevier Inc</pub><pmid>34971806</pmid><doi>10.1016/j.cgh.2021.12.034</doi><orcidid>https://orcid.org/0000-0001-9170-9784</orcidid><oa>free_for_read</oa></addata></record> |
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subjects | Adult Aged Alcoholic Liver Disease Biopsy - adverse effects Female Fibrosis Humans Liver - pathology Liver Cirrhosis - etiology Liver Fibrosis Male Middle Aged NITs Non-alcoholic Fatty Liver Disease - complications Nonalcoholic Fatty Liver Disease Noninvasive Fibrosis Scores Prevalence Screening Severity of Illness Index Transient Elastography |
title | Low Accuracy of FIB-4 and NAFLD Fibrosis Scores for Screening for Liver Fibrosis in the Population |
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