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Article: Correlation of liver biochemistry with liver stiffness in chronic hepatitis B and development of a predictive model for liver fibrosis

TitleCorrelation of liver biochemistry with liver stiffness in chronic hepatitis B and development of a predictive model for liver fibrosis
Authors
KeywordsChronic hepatitis B
Fibrosis
Liver biochemistry
Liver stiffness
Transient elastography
Issue Date2008
PublisherWiley-Blackwell Publishing, Inc.. The Journal's web site is located at http://www.wiley.com/bw/journal.asp?ref=1478-3223&site=1
Citation
Liver International, 2008, v. 28 n. 10, p. 1408-1416 How to Cite?
AbstractAim: To correlate liver stiffness with demographical factors and routine liver biochemistry and to assess the predictive value of these as potential markers of fibrosis. Methods: Transient elastography was performed in 1268 chronic hepatitis B (CHB) patients. According to a previous validated study for CHB, liver stiffness of > 8.1 and > 10.3 kPa were used as cut-off values for defining severe fibrosis and cirrhosis respectively. Results: Liver stiffness correlated positively with bilirubin, alkaline phosphatase (ALP), γ-glutamyl transpeptidase (GGT), aspartate aminotransferase (AST), alanine aminotransferase (ALT), globulin, α-fetoprotein (AFP) and HBV DNA levels and negatively with albumin and platelet levels (P < 0.05 for all correlations). From 13 parameters (age, sex, platelet, AST, ALT, GGT, AFP, albumin, globulin, bilirubin, ALP, HBV DNA and hepatitis B e-antigen), four best parameters (AST, platelet, GGT and AFP) were used to derive a liver stiffness model. Using log (index) = 1.44 + 0.1490(GGT) + 0.3308 log (AST)-0.5846 log (platelets) + 0.1148 log (AFP + 1) to predict both severe fibrosis and cirrhosis had area under the receiver operating characteristics curve of 0.85. Conclusion: Routine liver biochemistry correlated well with liver stiffness in Asian CHB patients. A model using simple serum markers can predict liver stiffness, and further studies are required to validate the usefulness of these simple tests as non-invasive markers of fibrosis in CHB. © Journal compilation © 2008 Blackwell Munksgaard.
Persistent Identifierhttp://hdl.handle.net/10722/76524
ISSN
2015 Impact Factor: 4.47
2015 SCImago Journal Rankings: 1.677
ISI Accession Number ID
References

 

DC FieldValueLanguage
dc.contributor.authorFung, Jen_HK
dc.contributor.authorLai, CLen_HK
dc.contributor.authorFong, DYTen_HK
dc.contributor.authorYuen, JCHen_HK
dc.contributor.authorWong, DKHen_HK
dc.contributor.authorYuen, MFen_HK
dc.date.accessioned2010-09-06T07:22:09Z-
dc.date.available2010-09-06T07:22:09Z-
dc.date.issued2008en_HK
dc.identifier.citationLiver International, 2008, v. 28 n. 10, p. 1408-1416en_HK
dc.identifier.issn1478-3223en_HK
dc.identifier.urihttp://hdl.handle.net/10722/76524-
dc.description.abstractAim: To correlate liver stiffness with demographical factors and routine liver biochemistry and to assess the predictive value of these as potential markers of fibrosis. Methods: Transient elastography was performed in 1268 chronic hepatitis B (CHB) patients. According to a previous validated study for CHB, liver stiffness of > 8.1 and > 10.3 kPa were used as cut-off values for defining severe fibrosis and cirrhosis respectively. Results: Liver stiffness correlated positively with bilirubin, alkaline phosphatase (ALP), γ-glutamyl transpeptidase (GGT), aspartate aminotransferase (AST), alanine aminotransferase (ALT), globulin, α-fetoprotein (AFP) and HBV DNA levels and negatively with albumin and platelet levels (P < 0.05 for all correlations). From 13 parameters (age, sex, platelet, AST, ALT, GGT, AFP, albumin, globulin, bilirubin, ALP, HBV DNA and hepatitis B e-antigen), four best parameters (AST, platelet, GGT and AFP) were used to derive a liver stiffness model. Using log (index) = 1.44 + 0.1490(GGT) + 0.3308 log (AST)-0.5846 log (platelets) + 0.1148 log (AFP + 1) to predict both severe fibrosis and cirrhosis had area under the receiver operating characteristics curve of 0.85. Conclusion: Routine liver biochemistry correlated well with liver stiffness in Asian CHB patients. A model using simple serum markers can predict liver stiffness, and further studies are required to validate the usefulness of these simple tests as non-invasive markers of fibrosis in CHB. © Journal compilation © 2008 Blackwell Munksgaard.en_HK
dc.languageengen_HK
dc.publisherWiley-Blackwell Publishing, Inc.. The Journal's web site is located at http://www.wiley.com/bw/journal.asp?ref=1478-3223&site=1en_HK
dc.relation.ispartofLiver Internationalen_HK
dc.subjectChronic hepatitis Ben_HK
dc.subjectFibrosisen_HK
dc.subjectLiver biochemistryen_HK
dc.subjectLiver stiffnessen_HK
dc.subjectTransient elastographyen_HK
dc.subject.meshAdulten_HK
dc.subject.meshAgeden_HK
dc.subject.meshAlanine Transaminase - blooden_HK
dc.subject.meshAlkaline Phosphatase - blooden_HK
dc.subject.meshAspartate Aminotransferases - blooden_HK
dc.subject.meshBilirubin - blooden_HK
dc.subject.meshElasticity Imaging Techniquesen_HK
dc.subject.meshFemaleen_HK
dc.subject.meshGlobulins - analysisen_HK
dc.subject.meshHepatitis B, Chronic - pathologyen_HK
dc.subject.meshHumansen_HK
dc.subject.meshLiver - metabolismen_HK
dc.subject.meshLiver Cirrhosis - diagnosisen_HK
dc.subject.meshMaleen_HK
dc.subject.meshMiddle Ageden_HK
dc.subject.meshModels, Biologicalen_HK
dc.subject.meshROC Curveen_HK
dc.subject.meshStatistics, Nonparametricen_HK
dc.subject.meshalpha-Fetoproteins - analysisen_HK
dc.subject.meshgamma-Glutamyltransferase - blooden_HK
dc.titleCorrelation of liver biochemistry with liver stiffness in chronic hepatitis B and development of a predictive model for liver fibrosisen_HK
dc.typeArticleen_HK
dc.identifier.openurlhttp://library.hku.hk:4550/resserv?sid=HKU:IR&issn=1478-3223&volume=28&spage=1408&epage=16&date=2008&atitle=Correlation+of+liver+biochemistry+with+liver+stiffness+in+chronic+hepatitis+B+and+development+of+a+predictive+model+for+liver+fibrosisen_HK
dc.identifier.emailFung, J: jfung@sicklehut.comen_HK
dc.identifier.emailLai, CL: hrmelcl@hku.hken_HK
dc.identifier.emailFong, DYT: dytfong@hku.hken_HK
dc.identifier.emailWong, DKH: danywong@hku.hken_HK
dc.identifier.emailYuen, MF: mfyuen@hku.hken_HK
dc.identifier.authorityFung, J=rp00518en_HK
dc.identifier.authorityLai, CL=rp00314en_HK
dc.identifier.authorityFong, DYT=rp00253en_HK
dc.identifier.authorityWong, DKH=rp00492en_HK
dc.identifier.authorityYuen, MF=rp00479en_HK
dc.description.naturelink_to_subscribed_fulltext-
dc.identifier.doi10.1111/j.1478-3231.2008.01784.xen_HK
dc.identifier.pmid18482268-
dc.identifier.scopuseid_2-s2.0-54049140378en_HK
dc.identifier.hkuros144470en_HK
dc.relation.referenceshttp://www.scopus.com/mlt/select.url?eid=2-s2.0-54049140378&selection=ref&src=s&origin=recordpageen_HK
dc.identifier.volume28en_HK
dc.identifier.issue10en_HK
dc.identifier.spage1408en_HK
dc.identifier.epage1416en_HK
dc.identifier.isiWOS:000259960900013-
dc.publisher.placeUnited Statesen_HK
dc.identifier.scopusauthoridFung, J=23091109300en_HK
dc.identifier.scopusauthoridLai, CL=7403086396en_HK
dc.identifier.scopusauthoridFong, DYT=35261710300en_HK
dc.identifier.scopusauthoridYuen, JCH=7102620480en_HK
dc.identifier.scopusauthoridWong, DKH=7401535819en_HK
dc.identifier.scopusauthoridYuen, MF=7102031955en_HK
dc.identifier.citeulike3401612-

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