Intelligent Liver Function Testing Helps Detect, Diagnose Chronic Liver Disease

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<root generator="drupal.xsl" gversion="1.7"> <header> <fileName>168417</fileName> <TBEID>0C0508E8.SIG</TBEID> <TBUniqueIdentifier>MD_0C0508E8</TBUniqueIdentifier> <newsOrJournal>News</newsOrJournal> <publisherName>Frontline Medical Communications</publisherName> <storyname/> <articleType>2</articleType> <TBLocation>QC Done-All Pubs</TBLocation> <QCDate>20240617T100554</QCDate> <firstPublished>20240617T103104</firstPublished> <LastPublished>20240617T103104</LastPublished> <pubStatus qcode="stat:"/> <embargoDate/> <killDate/> <CMSDate>20240617T103104</CMSDate> <articleSource>FROM EASL 2024</articleSource> <facebookInfo/> <meetingNumber>4952-24</meetingNumber> <byline>Becky McCall</byline> <bylineText>BECKY MCCALL</bylineText> <bylineFull>BECKY MCCALL</bylineFull> <bylineTitleText/> <USOrGlobal/> <wireDocType/> <newsDocType>News</newsDocType> <journalDocType/> <linkLabel/> <pageRange/> <citation/> <quizID/> <indexIssueDate/> <itemClass qcode="ninat:text"/> <provider qcode="provider:imng"> <name>IMNG Medical Media</name> <rightsInfo> <copyrightHolder> <name>Frontline Medical News</name> </copyrightHolder> <copyrightNotice>Copyright (c) 2015 Frontline Medical News, a Frontline Medical Communications Inc. company. All rights reserved. This material may not be published, broadcast, copied, or otherwise reproduced or distributed without the prior written permission of Frontline Medical Communications Inc.</copyrightNotice> </rightsInfo> </provider> <abstract/> <metaDescription>The intelligent Liver Function Testing (iLFT) platform can improve diagnosis and management of chronic liver disease in a primary care setting</metaDescription> <articlePDF/> <teaserImage/> <teaser>The iLFT platform uses an automated algorithm that analyzes standard liver function test results.</teaser> <title>Intelligent Liver Function Testing Helps Detect, Diagnose Chronic Liver Disease</title> <deck/> <disclaimer/> <AuthorList/> <articleURL/> <doi/> <pubMedID/> <publishXMLStatus/> <publishXMLVersion>1</publishXMLVersion> <useEISSN>0</useEISSN> <urgency/> <pubPubdateYear/> <pubPubdateMonth/> <pubPubdateDay/> <pubVolume/> <pubNumber/> <wireChannels/> <primaryCMSID/> <CMSIDs/> <keywords/> <seeAlsos/> <publications_g> <publicationData> <publicationCode>gih</publicationCode> <pubIssueName/> <pubArticleType/> <pubTopics/> <pubCategories/> <pubSections/> </publicationData> <publicationData> <publicationCode>fp</publicationCode> <pubIssueName/> <pubArticleType/> <pubTopics/> <pubCategories/> <pubSections/> </publicationData> <publicationData> <publicationCode>im</publicationCode> <pubIssueName/> <pubArticleType/> <pubTopics/> <pubCategories/> <pubSections/> </publicationData> </publications_g> <publications> <term canonical="true">17</term> <term>15</term> <term>21</term> </publications> <sections> <term canonical="true">53</term> <term>39313</term> </sections> <topics> <term canonical="true">346</term> <term>226</term> <term>213</term> </topics> <links/> </header> <itemSet> <newsItem> <itemMeta> <itemRole>Main</itemRole> <itemClass>text</itemClass> <title>Intelligent Liver Function Testing Helps Detect, Diagnose Chronic Liver Disease</title> <deck/> </itemMeta> <itemContent> <h2>TOPLINE: </h2> <p><span class="tag metaDescription">The intelligent Liver Function Testing (iLFT) platform can improve diagnosis and management of chronic liver disease in a primary care setting</span>, new data show. </p> <h2>METHODOLOGY:</h2> <ul class="body"> <li>At the European Association for the Study of the Liver (EASL) Congress 2024, researchers presented 5-year, real-world data of the iLFT platform from its use in NHS Tayside in Dundee, Scotland, which serves a population of 400,000. The platform has been available since 2018.</li> <li>The iLFT platform uses an automated algorithm that analyzes standard liver function test results.</li> <li>Abnormal results prompt the system to initiate further fibrosis scoring and relevant etiologic testing to determine the cause of liver dysfunction.</li> <li>The results of these tests combined with practitioner-entered clinical information produce a probable diagnosis and recommend a patient-management strategy.</li> </ul> <h2>TAKEAWAY: </h2> <ul class="body"> <li>Of the 26,459 iLFT tests performed between 2018 and 2023, 68.3% (18,079) required further testing beyond the initial liver function test, whereas 31.7% (8380) did not.</li> <li>Further testing generated 20,895 outcomes, of which, isolated abnormal alanine transaminase (ALT) without fibrosis was most frequent (23.7%). Abnormal ALT was found to be most likely due to metabolic dysfunction–associated steatotic liver disease (MASLD).</li> <li>Overall, half of cascaded samples had a positive etiologic diagnosis. Alcoholic liver disease (ALD) and MASLD were the most common etiologic outcomes identified.</li> <li>In addition, 20% of cascaded tests identified potentially significant liver fibrosis.</li> <li>A total of 69.9% of outcomes recommended that patients could be safely managed in primary care. The inclusion of automatic Enhanced Liver Fibrosis (ELF) testing in 2020 further reduced the requirement for referral to secondary care by 34%.</li> </ul> <h2>IN PRACTICE:</h2> <p>“Without this algorithm, the 18,000 patients who had algorithm-directed further testing would have had to go back to the [primary care practitioner] to obtain the additional tests, and the [primary care practitioner] would need to interpret them too,” said Damien Leith, MD, trainee hepatologist at Ninewells Hospital, Dundee, Scotland, who presented the findings. “iLFTs ensure the right patients get automated, appropriate follow-up testing and subsequent recommendation of referral to secondary care if necessary, and importantly iLFT helps the primary care practitioner identify the cause of chronic liver disease.” </p> <h2>SOURCE:</h2> <p>This study was presented on June 6, 2024 at the <a href="https://www.medscape.com/viewcollection/37563">EASL Congress 2024</a> (abstract OS-007-YI).</p> <h2>LIMITATIONS:</h2> <p>Limitations include the need for further refinement of the algorithm to increase the proportion of positive etiologic iLFT outcomes. More analysis is needed to optimize the cost-effectiveness of iLFT. </p> <h2>DISCLOSURES:</h2> <p>Dr. Leith reports no relevant financial relationships.</p> <p> <em>A version of this article appeared on <span class="Hyperlink"><a href="https://www.medscape.com/viewarticle/intelligent-liver-function-testing-platform-helps-detect-2024a1000as9">Medscape.com</a></span>.</em> </p> </itemContent> </newsItem> <newsItem> <itemMeta> <itemRole>teaser</itemRole> <itemClass>text</itemClass> <title/> <deck/> </itemMeta> <itemContent> </itemContent> </newsItem> </itemSet></root>