Document Detail

Prediction on liver fibrosis using different APRI thresholds when patient age is a categorical marker in patients with chronic hepatitis B.
MedLine Citation:
PMID:  20828546     Owner:  NLM     Status:  In-Process    
BACKGROUND: Patient age as a predictive variable plays an important role in some indices and models. It was hypothesized that patient age might be a categorical marker.
METHODS: We collected the data of 623 CHB patients with liver biopsies. Two-hundred fifty-two patients could provide the duration of HBsAg-positive.
RESULTS: The positive correlation between duration of HBsAg-positive and patient age was statistically significant (r = 0.487, P < 0.001). When the cutoff value of patient age was 33.5 y, the best accuracy for liver fibrosis could be obtained. If we could use APRI threshold value of 0.11 for patients with age ≤ 35 and 0.18 for those > 35 y, we could correctly identify 110 CHB patients with insignificant fibrosis which were free of liver biopsy. For all CHB patients based on the APRI threshold of 0.11, 75 patients could be safely predicted as insignificant fibrosis.
CONCLUSIONS: Many more CHB patients with insignificant fibrosis could be free of liver biopsy when we used different APRI threshold values based on patient age, especially in patients with > 35 y. The study indicated that more attention should be paid to the influence of patient age on fibrosis.
Hong-Bo Liu; Jian-Ping Zhou; Yong Zhang; Xiao-Hui Lv; Wei Wang
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Publication Detail:
Type:  Journal Article; Research Support, Non-U.S. Gov't     Date:  2010-09-07
Journal Detail:
Title:  Clinica chimica acta; international journal of clinical chemistry     Volume:  412     ISSN:  1873-3492     ISO Abbreviation:  Clin. Chim. Acta     Publication Date:  2011 Jan 
Date Detail:
Created Date:  2010-11-24     Completed Date:  -     Revised Date:  -    
Medline Journal Info:
Nlm Unique ID:  1302422     Medline TA:  Clin Chim Acta     Country:  Netherlands    
Other Details:
Languages:  eng     Pagination:  33-7     Citation Subset:  IM    
Copyright Information:
Copyright © 2010 Elsevier B.V. All rights reserved.
School of Public Health, China Medical University, Shenyang, China.
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