Correlation between FIB4, liver stiffness and metabolic parameters in patients with HIV and hepatitis C virus co-infection
Division of Infectious and Tropical Diseases, Foundation IRCCS San Matteo Hospital, University of Pavia, Pavia, Italy. Digestive and Liver Disease
(Impact Factor: 2.96).
07/2011; 43(7):575-8. DOI: 10.1016/j.dld.2011.03.009
Assessment of liver fibrosis is crucial in HIV/HCV coinfected patients, in whom metabolic disturbances are frequent. Aims of this study were to analyse the association of two non-invasive liver fibrosis evaluation methods, liver stiffness measurement and FIB4, and their correlation with metabolic parameters.
This was a single centre cross-sectional study. All patients underwent biochemical and virological assessment, FIB4 score, HOMA and transient elastography.
Seventy-five patients were evaluated. Liver stiffness values positively correlated with FIB4 (R = 0.62; p < 0.0001). By ROC curve analysis the optimal cut-off for liver stiffness to identify high FIB4 was calculated as 10.1 kPa. The area under the ROC curve was 0.78 (95% CI 0.78-0.94, sensitivity 83.3%, specificity 80.7%). Liver stiffness values positively correlated with HOMA score (R = 0.31; p = 0.006).
The combination of two non invasive tools provide a useful system for the assessment of fibrosis evolution in patients with HIV-HCV coinfection.
Available from: Simona Ruta
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ABSTRACT: Due to a recent alarming increase in the number of HIV-HCV co-infected patients in Romania.
A cross sectional study was conducted to assess the baseline predictors of liver disease evolution.
83 HIV-HCV co-infected patients, untreated for HCV infection, were evaluated for viral replication, liver fibrosis (estimated by a noninvasive marker - FIB4), and plasma levels of IP-10 (interferon-gamma inducible protein 10) - a cytokine associated with an unfavorable outcome of HCV infection.
The median value for HCV viral load was high (6.3 log10 IU/mL), 98.8% of the patients were infected with HCV genotype 1. Although 53% of the patients received antiretroviral therapy (cART), only 31.8% of these achieved undetectable HIV levels. HCV viral load was significantly higher in patients with AIDS (6.4 vs. 6.1 log10IU/mL; P = 0.04), and in those naïve for cART (6.5 vs. 5.9 log10 IU/mL; P = 0.04). Severe fibrosis was directly correlated with immunosupression (56% vs. 17.4%, P = 0.03), HCV replication (6.1 vs. 4.9 log10IU/mL P = 0.008), and IP-10 median values (312 vs. 139 pg/ml, P=0.008). A serum IP-10 level higher than 400 pg/mL was significantly associated with FIB-4 median values (4.09 vs. 1.7, P = 0.004), HCV viral load (6.4 vs. 6.1 log10 IU/mL, P = 0.02) and ALT level (206.8 vs. 112.4 IU/L, P = 0.05).
An important part of the HIV-HCV co-infected patients had negative baseline predictors for the evolution of HCV infection; their therapeutical management must be conducted with special attention towards adherence and potential overlapping drug toxicities. High concentrations of plasma IP-10 are reliable markers for the severity of liver disease.
Hepatitis Monthly 02/2013; 13(2):e8611. DOI:10.5812/hepatmon.8611 · 1.93 Impact Factor
Available from: Paola Di Carlo
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Conflicting data have been reported on the prevalence of liver steatosis, its risk factors and its relationship with fibrosis in patients with human immunodeficiency virus (HIV)/hepatitis C virus (HCV) co-infection or with HCV mono-infection.
The study aims were to assess steatosis prevalence and its risk factors in both HCV groups. We also evaluated whether steatosis was linked with advanced fibrosis. Sixty-eight HIV/HCV co-infected and 69 HCV mono-infected patients were consecutively enrolled. They underwent liver ultrasonography and transient elastography. Bright liver echo-pattern was used to diagnose steatosis; advanced fibrosis was defined as liver stiffness ≥ 9.5 kPa and FIB-4 values ≥ 3.25. The optimal stiffness cut-off according to FIB-4 ≥ 3.25 was evaluated by ROC analysis.
No significant difference was found in steatosis-prevalence between mono- and co-infected patients (46.3 vs. 51.4%). Steatosis was associated with triglycerides and impaired fasting glucose/diabetes in HCV mono-infected, with lipodystrophy, metabolic syndrome, total-cholesterol and triglycerides in co-infected patients. Stiffness ≥ 9.5 was significantly more frequent in co-infection (P < 0.003). Advanced fibrosis wasn't significantly associated with steatosis. The area under the ROC curve was 0.85 (95% CI 0.79-0.9). On multivariate analysis steatosis was associated with triglycerides in both HCV mono- and co-infected groups (P < 0.02; P < 0.03).
Although steatosis was common in both HCV mono- and co-infected patients, it was not linked with advanced fibrosis. Triglycerides were independent predictors of steatosis in either of the HCV-groups. Dietary interventions and lifestyle changes should be proposed to prevent metabolic risk factors.
Annals of hepatology: official journal of the Mexican Association of Hepatology 09/2013; 12(5):740-8. · 2.07 Impact Factor
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ABSTRACT: Hepatic inflammation may affect the performance of FibroScan. This prospective study investigated the influence of hepatic inflammation on liver stiffness measurement (LSM) values by assessing FibroScan and liver biopsy findings in 325 patients with chronic hepatitis B. Liver fibrosis and inflammation were classified into five stages (S0-S4) and grades (G0-G4) according to the Scheuer scoring system. LSM values were correlated with fibrosis stage and inflammation grade (r = 0.479, p < 0.001, and r = 0.522, p < 0.001, respectively). Although LSM values increased in parallel with inflammation grade, no significant differences were found between patients with significant fibrosis (S2-S4) (p > 0.05). For inflammation grades G0, G1, G2 and G3, areas under receiver operating characteristic curves of FibroScan for significant fibrosis were 0.8267 (p < 0.001), 0.6956 (p < 0.001), 0.709 (p = 0.0012) and 0.6947 (p = 0.137), respectively. Inflammation has a significant influence on LSM values in patients with chronic hepatitis B with mild fibrosis, but not in those with significant fibrosis.
Copyright © 2015 World Federation for Ultrasound in Medicine & Biology. Published by Elsevier Inc. All rights reserved.
Ultrasound in Medicine & Biology 02/2015; 41(6). DOI:10.1016/j.ultrasmedbio.2015.01.011 · 2.21 Impact Factor
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