Improving noninvasive methods of assessing liver fibrosis in patients with hepatitis C virus/human immunodeficiency virus co-infection.
Improving noninvasive methods of assessing liver fibrosis in patients with hepatitis C virus/human immunodeficiency virus co-infection.
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DOI:
10.1016/j.cgh.2008.12.016
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发表时间:
2009-04
期刊:
影响因子:
--
通讯作者:
AIDS Clinical Trials Group 5178 Study Group
中科院分区:
文献类型:
--
作者:
Shire NJ;Rao MB;Succop P;Buncher CR;Andersen JA;Butt AA;Chung RT;Sherman KE;AIDS Clinical Trials Group 5178 Study Group
Liver fibrosis is a significant concern for patients with hepatitis C virus (HCV)/HIV co-infection. Fibrosis staging by biopsy is accurate but costly and invasive. Several fibrosis prediction models utilizing non-invasive biomarkers have been developed but are suboptimal in co-infected patients. We compared results from different staging models and ordinal regression with biopsy data. Data from the Adult AIDS Clinical Trials Group protocol A5178 were used to evaluate 5 models of fibrosis staging; areas under receiver-operator characteristic curves (AUROC) were assessed. Individual covariates were assessed with univariable regression then entered into an ordinal logistic regression model from which a stage-wise index was developed. Data from 173 patients were evaluated; 85% were on anti-retroviral therapy, 31.2% had severe fibrosis (F3/F4) and 14% had cirrhosis (F4). Differences in CD4+ cell and platelets counts and international normalized ratio values were observed between those with and without F3/F4. Among existing models, the FIB-4 index performed best, with 88% specificity for F4 and >86% negative predictive values for F3/F4, although AUROC values were low (0.56±0.03 for F3/F4). Using patients’ demographic, clinical, and laboratory data, the ordinal regression model outperformed others, with AUROC = 0.85 (SE 0.03) for predicting stage F3/F4 and 0.89 (SE 0.05) for stage 3 alone. Current noninvasive methods of fibrosis assessment have poor discriminatory capacity in HCV/HIV co-infected patients. Ordinal regression analysis outperformed other non-invasive fibrosis prediction models. Longitudinal studies with paired biopsies will assist in refining the ordinal regression index.
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DOI:
10.1186/1476-5926-3-8
发表时间:
2004-09-23
期刊:
Comparative hepatology
影响因子:
--
作者:
Poynard T;Imbert-Bismut F;Munteanu M;Messous D;Myers RP;Thabut D;Ratziu V;Mercadier A;Benhamou Y;Hainque B
通讯作者:
Hainque B
影响因子:
25.7
作者:
Kelleher, TB;Mehta, SH;Afdhal, NH
通讯作者:
Afdhal, NH
影响因子:
3.8
作者:
Myers, RP;Benhamou, Y;Poynard, T
通讯作者:
Poynard, T
影响因子:
9.3
作者:
Rossi, E;Adams, L;Jeffrey, G
通讯作者:
Jeffrey, G
影响因子:
13.5
作者:
Lackner, C;Struber, G;Stauber, RE
通讯作者:
Stauber, RE