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Lower ribavirin biodisponibility in patients with HIV-HCV coinfection in comparison with HCV monoinfected patients

BMC Infectious Diseases volume 14, Article number: 150 (2014) Cite this article

Abstract

Background

In HIV infected patients, the impact of ribavirin (RBV) pharmacology on sustained virologic response (SVR) to hepatitis C virus (HCV) treatment has not been fully investigated. The objective of this study was to compare the early RBV plasma exposure between a population of HIV-HCV coinfected patients and an HCV monoinfected group.

Methods

Early RBV plasma exposure (expressed as Area Under the Curve (AUC) from 0 to 4 h) after a 600 mg first dose of RBV was measured in a population of HIV-HCV coinfected patients in comparison with an HCV monoinfected group. Peripheral blood samples were collected before the 600 mg RBV first dose (T0) to ensure no detectable baseline plasma RBV, and then 30 mn, 1, 2 and 4 hours after RBV intake (T0.5, T1, T2 and T4).

Results

Eighty-six patients with chronic hepatitis C entered the study among whom 23 (27%) were HIV-HCV coinfected. Coinfected patients had a significantly lower RBV-AUC 0-4h (median: 1469 μg*h/L [range 936–3677]) compared with monoinfected patients (2030 μg*h/L [851–7700]; p = 0.018). This RBV under exposure in coinfected patients persisted after normalization of AUC to RBV dose per kilogram of body weight (182 μg*h/L [110–425] versus 271 μg*h/L [82–1091], p = 0.001).

Conclusions

These results suggest that lower early bioavailability of RBV could be one of the reasons for lower SVR in HIV-HCV coinfected patients treated with pegylated interferon/RBV combination therapy. RBV plasma underexposure seems to be associated with the immunological status of the patients with lower AUC0-4h values observed in the more immunosuppressed coinfected patients.

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Background

Worldwide prevalence of hepatitis C virus (HCV) infection in human immunodeficiency virus (HIV) infected patients is about 33%[1–3] and this pathology represents one of the main comorbidities in this population [4, 5]. Before the use of protease inhibitors for genotype 1 HCV infection, combination of ribavirin (RBV) and pegylated interferon-α (PEG-IFN) was the standard of care for treatment of chronic HCV patients and it is still the standard for non-1 genotype infection with or without HIV coinfection. All guidelines to adjust RBV doses have been defined in monoinfected patients but are also used in HIV-HCV ones. According to these guidelines and excepted for genotype 2 or 3 infected patients, RBV doses must be adapted to body weight [6]. Studies have shown that high RBV plasma concentrations could improve early virological response rates [7, 8]. However, RBV daily dose, even adjusted for body weight is poorly correlated with RBV plasma concentration [9, 10] due to a large inter-individual variability in exposure [11–13]. Different explanations have been proposed for this variability: i) the lean body weight would be a better covariate with a linear influence on RBV clearance [14]; ii) RBV exposure depends on creatinine clearance [15]; iii) the RBV pharmacokinetics could be impacted by the pharmacological or pathological context of HIV-HCV coinfection [16]. Loustaud-Ratti et al., showed that RBV plasma exposure after a single dose of 600 mg in HCV monoinfected patients was predictive of sustained virological response (SVR) and proposed a threshold of 1755 μg.h/L for the RBV plasma AUC from 0 to 4 h post-dose to discriminate patients with subsequent SVR from those with non-response [17]. This is currently the only data that can be used to interpret early RBV exposure and determine the optimal dose to initiate treatment. The impact of the pharmacokinetic properties of RBV in HIV patients has not been fully investigated. As for HCV monoinfected patients, we know that a large inter-individual variability in RBV plasma concentrations exists in HIV-HCV coinfected patients and that RBV exposure is associated with both efficacy and anemia [8]. Moreover, the SVR rate is known to be lower in HIV-HCV coinfected than in HCV monoinfected patients. One possible explanation could be that, as for other drugs, HIV infected patients present a lower bioavailability of RBV [18]. The aim of this study was to determine early plasma exposure evaluated by the AUC0-4h after a first dose of RBV in a population of HIV-HCV coinfected patients and to compare the results to those obtained in HCV monoinfected patients.

Methods

Patients

Consecutive patients seen by six physicians during a 12 months period for a chronic hepatitis C infection (Edouard Herriot and Croix-Rousse hospitals, Lyon, France) and initiating a PEG-IFN/RBV therapy between February 2009 and February 2010 entered the study. RBV was taken with light breakfast or snack. Plasma AUC determination after a first dose of RBV (600 mg) was obtained before therapy initiation as described by Loustaud-Ratti et al. [17] to evaluate RBV bioavailability. Treatment was then initiated using a weight-based RBV dose after possible adaptation following the AUC results. Patients with low ribavirin exposure (as assessed by AUC result) were usually treated with a 200 mg higher ribavirin dose. Patients were divided into two groups according to their HIV status. To be included, patients had to have detectable HCV RNA, and for HIV-HCV coinfected patients to be on combined antiretroviral therapy (cART) for at least one month prior to RBV initiation. Patients with RBV treatment within the past three months were excluded. All patients gave their informed consent before they entered the study. Following characteristics were recorded at baseline (day of the first RBV dose intake): age, body weight, body mass index (BMI), creatinine level, glomerular filtration rate (GFR, estimated by Cockroft clearance and Modification of the Diet in Renal Disease (MDRD) formula), hemoglobin, aminotransferases, fibrosis stage, HCV genotype, HCV- and HIV RNA quantification, CD4 level and antiretroviral drugs.

Methods

The plasma AUC was determined for each patient before the antiviral treatment or at the first day. Patients received a single RBV dose of 600 mg (T0) and peripheral blood samples were collected before the administration to ensure undetectable baseline plasma RBV, and then 30 mn, 1, 2 and 4 hours after RBV intake (T0.5, T1, T2 and T4). To avoid RBV exchange between plasma and red blood cells, samples were placed in ice immediately after withdrawal and centrifuged as soon as possible (maximum lag time was 1 h). RBV plasma concentrations were measured using a validated High-Performance Liquid Chromatography-Diode Array Detector method [19]. This method is highly specific, sensible (limit of quantification = 0.05 mg/L), and precise (total imprecision, calculated by measuring the coefficient of variation (CV) of the internal quality control values was less than 10% for concentrations from 0.20 to 5.00 mg/L).

Pharmacokinetic analysis

RBV AUC was calculated using the Table Curve 2D software (Systat Software Inc). As a large variability of body weight (BW) was observed and that all patients received the same RBV first dose, AUC were also normalized as AUC0-4h/dose (in mg/BW in kg). Results of AUC and normalized AUC were analyzed according to the two groups defined by the HIV status.

Statistical analysis

All quantitative variables were expressed as median and range. Comparisons of data were made using the non-parametric Mann–Whitney test. Statistical analysis was performed using the Statistica® software package (StatSoft Inc). A multivariate logistic regression analysis was conducted to identify factors potentially associated with RBV underexposure (defined by an AUC <1755 μg.h/L). Variables significantly associated with RBV underexposure in univariate analysis and variables suspected to be associated with it, were included in the multivariate model. A p value below 0.05 was considered as statistically significant.

Ethical considerations

RBV pharmacokinetics monitoring is routinely performed in our unit for patients treated with PEG-IFN/RBV. This monitoring includes measurement of RBV AUC before therapy initiation and assessment of RBV plasma concentration during treatment. RBV monitoring is used to adapt RBV dose and to manage anemia. According to the French legislation (Public Health Code modified by the law no. 2004–806, 9 August 2004 and the Huriet–Sérusclat act 88–1138, 20 December 1988) and since this study was observational, no ethics committee approval was necessary.

Results

Eighty-six Caucasian patients with chronic hepatitis C entered the study. Among them, 62 were males (72%) and 23 (27%) were HIV-HCV coinfected. Most of them (85%) were infected with HCV genotype 1 or 4. Baseline characteristics are presented in Table 1.

Table 1 Main baseline characteristics of HCV monoinfected and HIV-HCV coinfected patients (n = 86)
Full size table

Among HIV-HCV coinfected patients, 20/23 (87%) had a negative HIV RNA viral load at baseline (<50 copies/mL) and 57% had a CD4 count above 500 cells/mm3. Most of them received two nucleoside reverse transcriptase inhibitors (NRTIs) (22 patients): tenofovir and emtricitabine for 20 of them (91%) and didanosine associated with stavudine or tenofovir for two. One patient received a cART regimen without NRTI. No patient received abacavir. Nucleoside treatment was associated with a protease inhibitor in 14 patients: seven patients received lopinavir, four darunavir, two atazanavir and one saquinavir. All these patients were also treated with ritonavir as a booster. Eight patients received a non-nucleoside reverse transcriptase inhibitor (NNRTI): four nevirapine, three efavirenz and one etravirine.

Finally, four patients received raltegravir, associated with a protease inhibitor regimen in three of them and with tenofovir and emtricitabine in one. One patient received maraviroc in association with a protease inhibitor, NNRTI and raltegravir.

Medians of AUC0-4h and AUC0-4h normalized to the first RBV dose expressed in mg/kg BW were 1469 μg.h/L and 182 (μg.h/L)/(mg/kg) respectively. According to the threshold of 1755 μg.h/L defined in HCV monoinfected patients, 14/23 (61%) coinfected patients were found to have an AUC0-4h below this value. No significant difference was found for cART type and duration, HIV viral load and CD4 level between the 2 sub-groups of HIV-HCV coinfected patients defined by this threshold (Table 2). All three patients found to have a detectable HIV RNA, had an AUC0-4h below 1755 μg.h/L. With regard to the immune status, 61% of patients had a CD4 level below the retained cutoff of 500/mm3. Interestingly, the AUC0-4h was significantly lower for these patients than for those with CD4 level greater than 500/mm3 with values of 1270 μg.h/L and 1840 μg.h/L respectively (p = 0.047). For these 2 sub-groups of coinfected patients, normalized AUC were 144 and 195 (μg.h/L)/(mg/kg) but the difference did not reach statistical significance. Table 3 summarizes these results.

Table 2 Particular characteristics of HIV-HCV coinfected patients according to RBV AUC 0-4h threshold (n = 23)
Full size table
Table 3 AUC 0-4h and normalized AUC 0-4h to RBV 600 mg/body weight
Full size table

For the reference group of HCV monoinfected patients, median AUC0-4h and normalized AUC0-4h were 2030 μg.h/L and 271 μg.h/L respectively. In comparison to HIV-HCV coinfected patients, these two parameters were significantly higher (p = 0.018 and 0.001, respectively). Sixty-eight percent of monoinfected patients had an AUC0-4h above the threshold of 1755 μg.h/L vs 39% of HIV-HCV coinfected patients (p = 0.014). The median AUC0-4h was slightly higher in naive HCV patients than in relapsers and non-responders (2434 μg.h/L, 2025 μg.h/L and 1873 μg.h/L, respectively, although this difference did not reach statistical significance (p = 0.165).

Different factors potentially associated with RBV pharmacokinetics variability were investigated. Except for body weight, BMI, and hemoglobin level, baseline characteristics did not differ between monoinfected and coinfected patients. Median body weight and BMI were lower in coinfected patients than in monoinfected ones (69 kg vs 75 kg , p = 0.032 and 22.1 vs 25.7, p = 0.003, respectively). Conversely, hemoglobin level was lower in monoinfected patients (median 14.5 g/dl) than in coinfected patients (15.2 g/dl; p = 0.036).

Multivariate logistic regression analysis indicated that presence of HIV coinfection (OR = 3.76, 95% CI [1.21-11.6]; p = 0.022) and male gender (OR = 4.59, 95% CI [1.15-18.3]; p = 0.031) were independently associated with RBV underexposure (Table 4).

Table 4 Univariate and multivariate logistic regression analysis to identify factors potentially associated with ribavirin underexposure (defined by an AUC < 1755 μg.h/L)
Full size table

Discussion

Using the AUC0-4h method, our results clearly showed a plasma underexposure in HIV-HCV coinfected patients after a single dose intake of RBV in comparison with monoinfected patients. The pharmacokinetics of RBV is less documented in HIV-HCV coinfected patients than in monoinfected ones but some studies showed that the achievement of RBV cutoffs was a predictive factor of SVR independent of HIV coinfection [20, 21]. The heterogeneity of our cohort of HIV-HCV coinfected patients was representative of a treated HIV population in a hospital environment (57% with CD4 > 500 cells/mm3; 87% with undetectable HIV viral load under HAART; patients mainly under 2 NRTIs + 1 boosted protease inhibitor) [22]. The choice of AUC0-4h was made in accordance with the study of Loustaud-Ratti et al. for HCV monoinfected patients [17]. Indeed, the authors showed that the abbreviated AUC0-4h was highly correlated to the full AUC0-12h because it described the main inter-individual variability of RBV pharmacokinetic parameters (i.e. absorption and distribution phases). Interestingly in our study, more than 60% of coinfected patients had an AUC0-4h below the threshold of 1755 μg.h/L defined as associated with SVR in HCV monoinfected patients [17]. In comparison, only 32% of monoinfected patients of our study had an AUC0-4h below this value. Demographic or biological parameters were collected in order to detect confounding factors that could affect differences in early RBV exposure between both populations. Some differences were found. The first of them was a body weight significantly lower for coinfected patients. As the initial RBV dose was the same (600 mg) for all patients, irrespectively of this parameter, early exposure was normalized for RBV dose expressed as mg/kg BW. Normalized AUC0-4h remained significantly different between both groups. In addition, hemoglobin level was higher in coinfected than in monoinfected patients. It is well known that RBV is highly concentrated in red blood cells [23], but this parameter was not expected to influence AUC0-4h which was determined after a single dose of RBV. Among other parameters known to have an influence on RBV exposure is the renal function, but neither median baseline serum creatinine, nor estimated glomerular filtration rate (GFR) calculated by Cockroft-Gault equation or MDRD formula, differed significantly between both groups (Table 1). We have determined early RBV exposure regardless of HCV genotype as no difference was observed in the genotype distribution in each of the two populations of this study and because we wanted to evaluate early bioavailability of RBV independently of the subsequent treatment response. In the study by Loustaud-Ratti et al. the population was exclusively constituted of monoinfected HCV genotype 1 patients. This is the main difference with our study in which genotypes 1 to 4 were present but with a majority of genotype 1. Indeed, except for this parameter and for the distribution of fibrosis score, baseline characteristics were similar in both studies. However, 32% of our HCV monoinfected patients had an AUC0-4h below the 1755 μg.h/L threshold compared with 58% in this historical study. This difference could be explained by the presence of patients infected by HCV genotype 2, 3 or 4 because only two of these 15 patients had an AUC0-4h below this threshold. Finally, we found a strong gender ratio in favor of male patients in our coinfected population. In order to estimate if gender could affect RBV exposure, we compared parameters which were statistically different in the whole population. For body weight the significant difference was even more important and as expected, this parameter was lower in coinfected patients (Table 1). Hence the interest of the AUC normalized to the first RBV dose deletes the weight effect. Conversely, differences in hemoglobin level were no longer significant due to the higher proportion of women in the monoinfected group. In spite of the reduced number of patients, the difference of AUC0-4h or normalized AUC0-4h between monoinfected and coinfected male patients was statistically significant, and the proportion of AUC under the 1755 μg.h/L threshold remained high. No other differences in demographic or biological characteristics were found between the two populations of this study.

Given that there was a strong gender ratio in favor of male patients and in order to see if gender could affect our results, we compared AUC0-4h between monoinfected and coinfected male patients. It is noteworthy that 43% of monoinfected and 65% of coinfected male patients had AUC0-4h below the 1755 μg.h/L threshold, although this difference did not reach statistical significance (p = 0.103). As expected, among HCV monoinfected patients, the AUC0-4h was slightly higher in naive patients than in relapsers and non-responders to a previous treatment although this difference did not reach statistical significance probably because of a limited number of patients in each subgroup.

Unexpectedly, RBV plasma underexposure seems to be associated with the immunological level of HIV patients. RBV exposure was indeed better if CD4 cell count was greater than 500/mm3. In the RIBAVIC study, using PEG-IFN/RBV therapy in HIV co-infected patients, a trend for a lower SVR was noted in patients with a CD4 cell count under 500 versus patients upper this threshold (21% vs 33%, respectively; p = 0.051) [24]. Then, in the PRESCO trial, a higher dosing of ribavirin (weight-based dosing with 1000 to 1200 mg) was associated with better SVR rates but higher risk of anemia [25]. In the present study, when the immunorestoration under cART was considered complete, i.e. with a CD4 cell count > 500/mm3, RBV exposure was similar in this HIV sub-group in comparison with HCV monoinfected population.

Food intake is known to potentially impact RBV bioavailability. Both the AUCtf (from time zero to the time of the final quantifiable sample) and Cmax of a single oral dose of ribavirin were indeed shown to be increased by co-administration of a high fat meal [26]. However, in the present study all patients received RBV with light breakfast or snack which suggests no bias between mono- and coinfected patients.

Conclusion

In conclusion, HIV-HCV coinfected patients present a lower RBV exposure which could at least in part explain the lower response rate of these patients to HCV treatment. This hypothesis should be further investigated on a larger number of coinfected patients focusing on the immune status of these patients. In the past, recommendations were to use low dose of RBV in HIV patients in order to avoid toxicity associated with antiretroviral drugs, such as zidovudine, stavudine or didanosine [27, 28]. However, these drugs are progressively neglected to the benefit of less cytotoxic new antiretroviral drugs. So, higher doses of RBV can be used to improve SVR in coinfected patients, as suggested in several studies [7, 29]. Measurement of early RBV exposure by determination of AUC0-4h possibly followed by RBV dose adjustment could help in optimizing antiviral therapy in HIV-HCV coinfected patients, particularly in the more immunosuppressed ones because RBV underexposure was noted in this specific sub-group.

Abbreviations

AUC:

Area under the curve

BMI:

Body mass index

cART:

Effective combination antiretroviral therapy

GFR:

Glomerular filtration rate

HAART:

Highly active antiretroviral therapy

HCV:

Hepatitis C virus

HIV:

Human immudeficiency virus

MDRD:

Modification of the diet in renal disease

RBV:

Ribavirin

SVR:

Sustained virological response.

References

  1. 1.

    Sherman KE, Rouster SD, Chung RT, Rajicic N: Hepatitis C Virus prevalence among patients infected with Human Immunodeficiency Virus: a cross-sectional analysis of the US adult AIDS Clinical Trials Group. Clin Infect Dis. 2002, 34 (6): 831-837. 10.1086/339042.

    Article  PubMed  Google Scholar 

  2. 2.

    Sulkowski MS, Moore RD, Mehta SH, Chaisson RE, Thomas DL: Hepatitis C and progression of HIV disease. JAMA. 2002, 288 (2): 199-206. 10.1001/jama.288.2.199.

    Article  PubMed  Google Scholar 

  3. 3.

    Thomas DL, Vlahov D, Solomon L, Cohn S, Taylor E, Garfein R, Nelson KE: Correlates of hepatitis C virus infections among injection drug users. Medicine (Baltimore). 1995, 74 (4): 212-220. 10.1097/00005792-199507000-00005.

    CAS  Article  Google Scholar 

  4. 4.

    Rosenthal E, Poiree M, Pradier C, Perronne C, Salmon-Ceron D, Geffray L, Myers RP, Morlat P, Pialoux G, Pol S, Cacoub P: Mortality due to hepatitis C-related liver disease in HIV-infected patients in France (Mortavic 2001 study). AIDS. 2003, 17 (12): 1803-1809. 10.1097/00002030-200308150-00009.

    Article  PubMed  Google Scholar 

  5. 5.

    Soriano V, Martin-Carbonero L, Garcia-Samaniego J, Puoti M: Mortality due to chronic viral liver disease among patients infected with human immunodeficiency virus. Clin Infect Dis. 2001, 33 (10): 1793-1795. 10.1086/323009.

    CAS  Article  PubMed  Google Scholar 

  6. 6.

    Clinical Practice Guidelines EASL: Management of hepatitis C virus infection. J Hepatol. 2014, 60 (2): 392-420.

    Article  Google Scholar 

  7. 7.

    Lindahl K, Stahle L, Bruchfeld A, Schvarcz R: High-dose ribavirin in combination with standard dose peginterferon for treatment of patients with chronic hepatitis C. Hepatology. 2005, 41 (2): 275-279. 10.1002/hep.20563.

    CAS  Article  PubMed  Google Scholar 

  8. 8.

    Rendon AL, Nunez M, Romero M, Barreiro P, Martin-Carbonero L, Garcia-Samaniego J, Jimenez-Nacher I, Gonzalez-Lahoz J, Soriano V: Early monitoring of ribavirin plasma concentrations may predict anemia and early virologic response in HIV/hepatitis C virus-coinfected patients. J Acquir Immune Defic Syndr. 2005, 39 (4): 401-405. 10.1097/01.qai.0000170034.90438.68.

    CAS  Article  PubMed  Google Scholar 

  9. 9.

    Crespo M, Pou L, Esteban JI, Falco V, Ribera E, Lopez R, Sauleda S, Curran A, Villar Del Saz S, Feijoo M, Ocana I, Pahissa A: Early monitoring of ribavirin serum concentration is not useful to optimize hepatitis C virus treatment in HIV-coinfected patients. Antivir Ther. 2007, 12 (8): 1217-1223.

    CAS  PubMed  Google Scholar 

  10. 10.

    Jen J, Laughlin M, Chung C, Heft S, Affrime MB, Gupta SK, Glue P, Hajian G: Ribavirin dosing in chronic hepatitis C: application of population pharmacokinetic-pharmacodynamic models. Clin Pharmacol Ther. 2002, 72 (4): 349-361. 10.1067/mcp.2002.127112.

    CAS  Article  PubMed  Google Scholar 

  11. 11.

    Glue P: The clinical pharmacology of ribavirin. Semin Liver Dis. 1999, 19 (Suppl 1): 17-24.

    CAS  PubMed  Google Scholar 

  12. 12.

    Jen JF, Glue P, Gupta S, Zambas D, Hajian G: Population pharmacokinetic and pharmacodynamic analysis of ribavirin in patients with chronic hepatitis C. Ther Drug Monit. 2000, 22 (5): 555-565. 10.1097/00007691-200010000-00010.

    CAS  Article  PubMed  Google Scholar 

  13. 13.

    Larrat S, Stanke-Labesque F, Plages A, Zarski JP, Bessard G, Souvignet C: Ribavirin quantification in combination treatment of chronic hepatitis C. Antimicrob Agents Chemother. 2003, 47 (1): 124-129. 10.1128/AAC.47.1.124-129.2003.

    CAS  Article  PubMed  PubMed Central  Google Scholar 

  14. 14.

    Wade JR, Snoeck E, Duff F, Lamb M, Jorga K: Pharmacokinetics of ribavirin in patients with hepatitis C virus. Br J Clin Pharmacol. 2006, 62 (6): 710-714. 10.1111/j.1365-2125.2006.02704.x.

    CAS  Article  PubMed  PubMed Central  Google Scholar 

  15. 15.

    Bruchfeld A, Lindahl K, Schvarcz R, Stahle L: Dosage of ribavirin in patients with hepatitis C should be based on renal function: a population pharmacokinetic analysis. Ther Drug Monit. 2002, 24 (6): 701-708. 10.1097/00007691-200212000-00004.

    CAS  Article  PubMed  Google Scholar 

  16. 16.

    Dahari H, Markatou M, Zeremski M, Haller I, Ribeiro RM, Licholai T, Perelson AS, Talal AH: Early ribavirin pharmacokinetics, HCV RNA and alanine aminotransferase kinetics in HIV/HCV co-infected patients during treatment with pegylated interferon and ribavirin. J Hepatol. 2007, 47 (1): 23-30. 10.1016/j.jhep.2007.01.027.

    CAS  Article  PubMed  PubMed Central  Google Scholar 

  17. 17.

    Loustaud-Ratti V, Alain S, Rousseau A, Hubert IF, Sauvage FL, Marquet P, Denis F, Lunel F, Cales P, Lefebvre A, Fauchais AL, Liozon E, Vidal E: Ribavirin exposure after the first dose is predictive of sustained virological response in chronic hepatitis C. Hepatology. 2008, 47 (5): 1453-1461. 10.1002/hep.22217.

    CAS  Article  PubMed  Google Scholar 

  18. 18.

    Arab-Alameddine M, Fayet-Mello A, Lubomirov R, Neely M, di Iulio J, Owen A, Boffito M, Cavassini M, Gunthard HF, Rentsch K, Buclin T, Aouri M, Telenti A, Decosterd LA, Rotger M, Csajka C: Population pharmacokinetic analysis and pharmacogenetics of raltegravir in HIV-positive and healthy individuals. Antimicrob Agents Chemother. 2012, 56 (6): 2959-2966. 10.1128/AAC.05424-11.

    CAS  Article  PubMed  PubMed Central  Google Scholar 

  19. 19.

    Sauvage FL, Stanke-Labesque F, Gagnieu MC, Jourdil JF, Babany G, Marquet P: Feasibility of ribavirin therapeutic drug monitoring in hepatitis C. Ther Drug Monit. 2009, 31 (3): 374-381. 10.1097/FTD.0b013e3181a665e3.

    CAS  Article  PubMed  PubMed Central  Google Scholar 

  20. 20.

    Aguilar Marucco D, Gonzalez De Requena D, Bonora S, Tettoni C, Bonasso M, De Blasi T, D'Avolio A, Sciandra M, Siccardi M, Baietto L, Trentini L, Sinicco A, Cariti G, Di Perri G: The use of trough ribavirin concentration to predict sustained virological response and haematological toxicity in HIV/HCV-co-infected patients treated with ribavirin and pegylated interferon. J Antimicrob Chemother. 2008, 61 (4): 919-924. 10.1093/jac/dkn013.

    CAS  Article  PubMed  Google Scholar 

  21. 21.

    Piedoux S, Monnet E, Piroth L, Montange D, Royer B, Thevenot T, Kantelip JP, Di Martino V, Muret P: Relative impact of ribavirin monitoring and HIV coinfection on sustained virological response in patients with chronic hepatitis C. Antivir Ther. 2011, 16 (8): 1317-1326. 10.3851/IMP1920.

    CAS  Article  PubMed  Google Scholar 

  22. 22.

    Sulkowski MS, Benhamou Y: Therapeutic issues in HIV/HCV-coinfected patients. J Viral Hepat. 2007, 14 (6): 371-386. 10.1111/j.1365-2893.2006.00816.x.

    CAS  Article  PubMed  PubMed Central  Google Scholar 

  23. 23.

    Souvignet C, Maynard M, Gagnieu MC, Trepo C: Ribavirin in combination therapy for HCV chronic infection in HIV patients: how to win the war after winning the first battle?. J Hepatol. 2007, 47 (1): 1-3.

    CAS  Article  PubMed  Google Scholar 

  24. 24.

    Carrat F, Bani-Sadr F, Pol S, Rosenthal E, Lunel-Fabiani F, Benzekri A, Morand P, Goujard C, Pialoux G, Piroth L, Salmon-Ceron D, Degott C, Cacoub P, Perronne C: Pegylated interferon alfa-2b vs standard interferon alfa-2b, plus ribavirin, for chronic hepatitis C in HIV-infected patients: a randomized controlled trial. JAMA. 2004, 292 (23): 2839-2848. 10.1001/jama.292.23.2839.

    CAS  Article  PubMed  Google Scholar 

  25. 25.

    Nunez M, Miralles C, Berdun MA, Losada E, Aguirrebengoa K, Ocampo A, Arazo P, Cervantes M, de Los SI, San Joaquin I, Echeverria S, Galindo MJ, Asensi V, Barreiro P, Sola J, Hernandez-Burruezo JJ, Guardiola JM, Romero M, Garcia-Samaniego J, Soriano V: Role of weight-based ribavirin dosing and extended duration of therapy in chronic hepatitis C in HIV-infected patients: the PRESCO trial. AIDS Res Hum Retroviruses. 2007, 23 (8): 972-982. 10.1089/aid.2007.0011.

    CAS  Article  PubMed  Google Scholar 

  26. 26.

    Ribavirin - Summary of Product Characteristics - European Medicines Agency. http://www.ema.europa.eu/docs/en_GB/document_library/EPAR_-_Product_Information/human/000246/WC500048210.pdf (visited February 2014)

  27. 27.

    Lafeuillade A, Hittinger G, Chadapaud S: Increased mitochondrial toxicity with ribavirin in HIV/HCV coinfection. Lancet. 2001, 357 (9252): 280-281. 10.1016/S0140-6736(00)03618-7.

    CAS  Article  PubMed  Google Scholar 

  28. 28.

    Moreno A, Quereda C, Moreno L, Perez-Elias MJ, Muriel A, Casado JL, Antela A, Dronda F, Navas E, Barcena R, Moreno S: High rate of didanosine-related mitochondrial toxicity in HIV/HCV-coinfected patients receiving ribavirin. Antivir Ther. 2004, 9 (1): 133-138.

    CAS  PubMed  Google Scholar 

  29. 29.

    Soriano V, Puoti M, Sulkowski M, Cargnel A, Benhamou Y, Peters M, Mauss S, Brau N, Hatzakis A, Pol S, Rockstroh J: Care of patients coinfected with HIV and hepatitis C virus: 2007 updated recommendations from the HCV-HIV International Panel. AIDS. 2007, 21 (9): 1073-1089. 10.1097/QAD.0b013e3281084e4d.

    Article  PubMed  Google Scholar 

Pre-publication history

  1. The pre-publication history for this paper can be accessed here:http://www.biomedcentral.com/1471-2334/14/150/prepub

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Acknowledgments

The authors gratefully thank Laurent Cotte, Philippe Lack, François Jeanblanc, Djamila Makhloufi, Sylvie Radenne, and Isabelle Schlienger for their contribution in this study.

Author information

Author notes

    Affiliations

    1. Department of Hepatology, Hôpital de la Croix-Rousse, Hospices Civils de Lyon, 103 grande rue de la Croix-Rousse, 69004, Lyon, France

      Giorgiana Hatu, François Bailly, Pierre Pradat, Marianne Maynard & Fabien Zoulim

    2. Université de Médicine et Pharmacie "Iuliu Hatieganu", Cluj-Napoca, Romania

      Giorgiana Hatu

    3. INSERM U1052, Lyon, France

      François Bailly, Pierre Pradat, Patrick Miailhes, Marianne Maynard & Fabien Zoulim

    4. Université Lyon I, Lyon, France

      François Bailly, Pierre Pradat, Patrick Miailhes, Marianne Maynard & Fabien Zoulim

    5. Pharmacology, Hôpital Edouard Herriot, Hospices Civils de Lyon, Lyon, France

      Emmanuel Pourcelot, François Parant & Marie-Claude Gagnieu

    6. Departement of Infectious Diseases, Hôpital de la Croix-Rousse, Hospices Civils de Lyon, Lyon, France

      Patrick Miailhes

    7. Department of Immunology, Hôpital Edouard Herriot, Hospices Civils de Lyon, Lyon, France

      Pierre Chiarello & Jean-Michel Livrozet

    Authors
    1. Giorgiana Hatu
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    2. François Bailly
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    3. Emmanuel Pourcelot
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    4. Pierre Pradat
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    5. Patrick Miailhes
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    6. Marianne Maynard
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    7. François Parant
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    8. Pierre Chiarello
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    9. Jean-Michel Livrozet
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    10. Fabien Zoulim
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    11. Marie-Claude Gagnieu
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    Corresponding author

    Correspondence to Pierre Pradat.

    Additional information

    Competing interests

    Fabien Zoulim received consulting/speaker fees from Gilead Science, Bristol Myers Squibb, and Roche. François Bailly received speaker fees from Janssen. The other authors have no conflict of interests to declare. No financial support.

    Authors’ contributions

    FB, PP, MM, FP, FZ, MCG participated in the conception and design of the study. GH, FB, EP, PP, PM, MM, FP, PC, JML participated in data collection. EP and PP performed the statistical analysis. GH, FB, EP, PP, PM and MCG helped to draft the manuscript. All authors read and approved the final version of the manuscript.

    Giorgiana Hatu, François Bailly contributed equally to this work.

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    Open Access This article is published under license to BioMed Central Ltd. This is an Open Access article is distributed under the terms of the Creative Commons Attribution License ( https://creativecommons.org/licenses/by/2.0 ), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly credited. The Creative Commons Public Domain Dedication waiver ( https://creativecommons.org/publicdomain/zero/1.0/ ) applies to the data made available in this article, unless otherwise stated.

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    Hatu, G., Bailly, F., Pourcelot, E. et al. Lower ribavirin biodisponibility in patients with HIV-HCV coinfection in comparison with HCV monoinfected patients. BMC Infect Dis 14, 150 (2014). https://doi.org/10.1186/1471-2334-14-150

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    • DOI: https://doi.org/10.1186/1471-2334-14-150

    Keywords

    • Hepatitis C
    • Human immunodeficiency virus
    • Ribavirin exposure
    • Treatment
    • Coinfection

    BMC Infectious Diseases

    ISSN: 1471-2334

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