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Noninvasive models to predict liver cirrhosis in patients with chronic hepatitis B.

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dc.contributor.authorKim, BK-
dc.contributor.authorKim, SA-
dc.contributor.authorPark, YN-
dc.contributor.authorCheong, JY-
dc.contributor.authorKim, HS-
dc.contributor.authorPark, JY-
dc.contributor.authorCho, SW-
dc.contributor.authorHan, KH-
dc.contributor.authorChon, CY-
dc.contributor.authorMoon, YM-
dc.contributor.authorAhn, SH-
dc.date.accessioned2011-01-20T04:40:14Z-
dc.date.available2011-01-20T04:40:14Z-
dc.date.issued2007-
dc.identifier.issn1478-3223-
dc.identifier.urihttp://repository.ajou.ac.kr/handle/201003/1230-
dc.description.abstractOBJECTIVES: Few noninvasive models of chronic hepatitis B (CHB) to predict liver cirrhosis have been studied. The aim of the current study is to investigate the diagnostic accuracy of two simple novel models of spleen-platelet ratio index (SPRI) and age-spleen-platelet ratio index (ASPRI) in patients with CHB.



PATIENTS AND METHODS: A total of 346 consecutive treatment-naïve patients with CHB were retrospectively studied. The aspartate to alanine aminotransferase ratio (AAR), age-platelet index (API), aspartate aminotransferase to platelet ratio index (APRI), SPRI, and ASPRI were compared with liver histology.



RESULTS: AAR, APRI, SPRI, API, and ASPRI correlated significantly to fibrosis stage (all P<0.001). The diagnostic accuracy of ASPRI was the highest among five tests for prediction of cirrhosis (area under receiver operating characteristic curve, AUROC=0.893). Using a cutoff score of ASPRI>12, the presence of cirrhosis could be correctly identified with a high accuracy (96.3% positive predictive value) in 35 (10.1%) of 346 patients. Similarly, using a cutoff of <5, the presence of cirrhosis could be totally excluded with 100% of negative predictive value in 120 (34.7%) of 346 patients.



CONCLUSION: ASPRI was accurate in predicting cirrhosis and screening with ASPRI has the potential to reduce the number of liver biopsies in CHB patients.
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dc.language.isoen-
dc.subject.MESHAdult-
dc.subject.MESHAge Factors-
dc.subject.MESHAged-
dc.subject.MESHAlanine Transaminase-
dc.subject.MESHAspartate Aminotransferases-
dc.subject.MESHBiopsy-
dc.subject.MESHClinical Enzyme Tests-
dc.subject.MESHDisease Progression-
dc.subject.MESHFemale-
dc.subject.MESHHepatitis B, Chronic-
dc.subject.MESHHumans-
dc.subject.MESHLiver Cirrhosis-
dc.subject.MESHLogistic Models-
dc.subject.MESHMale-
dc.subject.MESHMiddle Aged-
dc.subject.MESHModels, Biological-
dc.subject.MESHPlatelet Count-
dc.subject.MESHPredictive Value of Tests-
dc.subject.MESHPrognosis-
dc.subject.MESHROC Curve-
dc.subject.MESHRetrospective Studies-
dc.subject.MESHSeverity of Illness Index-
dc.subject.MESHSpleen-
dc.titleNoninvasive models to predict liver cirrhosis in patients with chronic hepatitis B.-
dc.typeArticle-
dc.identifier.pmid17696936-
dc.contributor.affiliatedAuthor정, 재연-
dc.contributor.affiliatedAuthor조, 성원-
dc.type.localJournal Papers-
dc.identifier.doi10.1111/j.1478-3231.2007.01519.x-
dc.citation.titleLiver international-
dc.citation.volume27-
dc.citation.number7-
dc.citation.date2007-
dc.citation.startPage969-
dc.citation.endPage976-
dc.identifier.bibliographicCitationLiver international, 27(7). : 969-976, 2007-
dc.identifier.eissn1478-3231-
dc.relation.journalidJ014783223-
Appears in Collections:
Journal Papers > School of Medicine / Graduate School of Medicine > Gastroenterology
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