95 304

Cited 10 times in

A practical scoring system for predicting cirrhosis in patients with chronic viral hepatitis

Authors
Cheong, JY; Um, SH; Seo, YS; Shin, SS; Park, RW; Kim, DJ; Hwang, SG; Lee, YJ; Cho, M; Yang, JM; Kim, YB; Park, YN; Cho, SW
Citation
Hepato-gastroenterology, 59(120):2592-2597, 2012
Journal Title
Hepato-gastroenterology
ISSN
0172-6390
Abstract
BACKGROUND/AIMS: The purpose of the current study was to develop a simple model for predicting cirrhosis in chronic viral hepatitis patients and to evaluate the usefulness of decision tree algorithms.



METHODOLOGY: Serum markers of fibrosis were compared with the stage of fibrosis in liver biopsy specimens prospectively obtained from 526 subjects with chronic HBV and HCV infections (estimation set, 367; validation set, 159).



RESULTS: Univariate analysis revealed that age, bilirubin, platelet count, APRI, ALP, hyaluronic acid (HA), α2-macroglobulin, MMP-2, TIMP-1, and procollagen III N-terminal peptide (PIIINP) were significantly different between patients with (F4) and without cirrhosis (F0123). Multivariate logistic regression analysis identified platelet count, HA and PIIINP as independent predictors of cirrhosis. We categorized the individual variable into the most appropriate cut-off value by calculating the likelihood ratio for predicting cirrhosis and constructed a score system expressed by the following simple formula: PHP index = platelet score + HA score + PIIINP score. For predicting cirrhosis, the area under the receiver operating characteristic curve (AUROC) was 0.824 and 0.759 in the estimation and validation set, respectively. Using a cut-off score of 4, the presence of cirrhosis was predicted with high accuracy. The diagnostic performance of the PHP index was similar to decision tree algorithms (AUROC=0.819) for predicting liver cirrhosis, but more useful in clinical situations.



CONCLUSIONS: Compared to a decision tree model, a simple score system using a categorized value based on a combination of platelet count, HA and PIIINP identified patients with liver cirrhosis with a higher clinical usability.
MeSH terms
AdultAlgorithmsBiological Markers/bloodBiopsyChi-Square Distribution*Decision Support TechniquesDecision TreesFemaleHepatitis B, Chronic/blood/*complications/diagnosisHepatitis C, Chronic/blood/*complications/diagnosisHumansHyaluronic Acid/bloodLikelihood FunctionsLiver Cirrhosis/blood/diagnosis/*virologyLogistic ModelsMaleMiddle AgedMultivariate AnalysisPeptide Fragments/bloodPlatelet CountPredictive Value of TestsProcollagen/bloodProspective StudiesROC CurveReproducibility of ResultsRepublic of KoreaRisk AssessmentRisk Factors
DOI
10.5754/hge10157
PMID
23178625
Appears in Collections:
Journal Papers > School of Medicine / Graduate School of Medicine > Gastroenterology
Journal Papers > School of Medicine / Graduate School of Medicine > Pulmonary & Critical Care Medicine
Journal Papers > School of Medicine / Graduate School of Medicine > Medical Informatics
Journal Papers > School of Medicine / Graduate School of Medicine > Pathology
AJOU Authors
정, 재연신, 승수박, 래웅김, 영배조, 성원
Files in This Item:
fulltext not available.txtDownload
Export
RIS (EndNote)
XLS (Excel)
XML

qrcode

해당 아이템을 이메일로 공유하기 원하시면 인증을 거치시기 바랍니다.

Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.

Browse