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Enregistrement W1974046981 · doi:10.1097/00002030-200202150-00026

Virological characteristics of hepatitis C virus infection in HIV-infected individuals with chronic hepatitis C: implications for treatment

2002· article· en· W1974046981 sur OpenAlexaff
Mayte Pérez‐Olmeda, Pilar Ríos, Marina Núñez, Javier García‐Samaniego, Míriam Romero, Vincent Soriano

Notice bibliographique

RevueAIDS · 2002
Typearticle
Langueen
DomaineMedicine
ThématiqueHepatitis C virus research
Établissements canadiensCegep de Sept Iles
Organismes subventionnairesnon disponible
Mots-clésRibavirinMedicineHepatitis CHepatitis C virusImmunologyPopulationLiver diseaseViral loadPegylated interferonMortality rateVirologyInternal medicineVirus

Résumé

récupéré en direct d'OpenAlex

The treatment of chronic hepatitis C virus (HCV) infection is vital in patients co-infected with HIV, because end-stage liver disease is a leading cause of mortality in this population. The response to HCV therapy depends on the viral load and genotype. Patients with HCV genotypes 2/3 and low HCV-RNA titres show greater response rates, and may be treated for just 6 months, which is useful in HIV-co-infected patients, in whom anti-HCV drugs are toxic and may interact with antiretroviral agents. More than a third of HIV-infected individuals are estimated to be co-infected with HCV in the United States and Europe [1–3]. As the incidence of the classic opportunistic infections have declined dramatically since the introduction of highly active antiretroviral therapies, new entities have emerged as the leading causes of morbidity and mortality among HIV-infected individuals. Liver disease caused by HCV is one, if not the main, cause of morbidity and mortality in these patients [4–7]. The treatment of chronic hepatitis C with α-IFN was associated with high toxicity and low response rates in the past [8], but the chances of cure have improved significantly since the introduction of dual combination therapy with IFN plus ribavirin [9,10]. Moreover, the prospects are now even better after the approval of the new pegylated forms of IFN, which are more potent and less toxic [11–13]. Therefore, a reluctance to treat HCV infection in HIV-positive individuals is no longer justified. The response to HCV therapy is greatly dependent on two HCV virological variables, the viral load and the genotype [14], whose distribution is not well known in HIV/HCV co-infected individuals. Former studies showed that HCV genotype 3 was particularly prevalent among intravenous drug users [15], who represent the largest group of HIV-infected individuals with chronic hepatitis C. As HCV-3 tends to show the greater response to treatment [14,16], this was good news. Besides, treatment may be limited to just 6 months (instead of the standard 12 months) in patients carrying HCV genotypes 2/3 [17], which is of great interest in HIV-co-infected individuals because anti-HCV drugs are relatively toxic, and may interact with antiretroviral compounds [18,19]. Unfortunately, however, circulating HCV viraemia seems to be increased in immunosuppressed patients, including those with HIV infection [19,20], precluding the possibility of shortening the treatment period to 6 months [17]. However, a reduction in HCV viraemia has been noted in co-infected individuals treated with potent antiretroviral regimens [21,22], although much controversy exists on this matter [22–24]. Consequently, the knowledge of both the prevalence of HCV genotypes and the amount of HCV RNA in the current population of HIV/HCV-co-infected individuals is of great interest, in order to establish specific HIV/HCV treatment guidelines. HCV genotypes and plasma HCV-RNA titres were analysed in samples collected since 1998 from 917 HIV/HCV-co-infected individuals (69.4% male, 89% intravenous drug users) living in Madrid, Spain. HCV genotyping was carried out using a commercial hybridization system (LiPA HCV, Innogenetics, Barcelona, Spain) [25] and the HCV viral load was measured using the Cobas HCV Monitor (Roche Diagnostics, Barcelona, Spain) [26]. The distribution of HCV genotypes was as follows: HCV-1, 65.5%; HCV-3, 22.2%; HCV-4, 8.5%; HCV-2, 2.3%; HCV-5, 0.2%; and HCV-6, 0.1%. Only seven individuals (0.7%) harboured co-infections with distinct HCV genotypes: HCV-1 plus -4 (three patients), HCV-2 plus -3 (two patients), and HCV-1 plus -2 or -4 (one of each). The mean HCV viraemia was 982 308 IU/ml, being significantly higher in men than in women (1 017 837 versus 881 353;P < 0.05). Overall, up to 65.8% of patients harboured HCV-RNA loads above 800 000 IU/ml, a threshold that predicts a lower response to HCV treatment [14,17]. Overall, no differences in HCV-RNA levels were seen among different HCV genotypes (Table 1). However, sex differences in circulating HCV viraemia seemed to be restricted to genotypes 1 and 4: men infected with those HCV types harboured a greater HCV load than women. In contrast, women infected with HCV-3 tended to show greater amounts of HCV RNA than men (Table 2).Table 1: Distribution of hepatitis C virus genotypes and corresponding mean HCV-RNA values in the study population. Table 2: Hepatitis C virus load (IU/ml) according to sex and hepatitis C virus genotype. A review of recent reports [9,11,12,14,27,28] on the distribution of HCV genotypes and levels of HCV viraemia in large populations of HCV-mono-infected patients showed results that did not differ significantly from our figures in HIV/HCV co-infected patients. In contrast with previous findings [15,19,20], we did not find a higher rate of HCV-3 nor a greater HCV load in our population. This last observation might be related to the favourable impact of highly active antiretroviral therapy, limiting HCV replication [21,22]. The reason why HCV-3 has declined (it represented up to 63% of HCV infections among intravenous drug users until 1995 [15]) is not clear. Moreover, HCV-4 is currently more prevalent than expected, whereas HCV-2 is now very uncommon. HCV-4 might have been introduced into Spain in recent years from north Africa, where it is highly prevalent [29]. Needle sharing may have been the main route of transmission of this HCV variant, which otherwise is very rare in Spain among individuals who acquired HCV through other routes. Unfortunately, HCV-4 shows less susceptibility to IFN than HCV-2/3 [30]. In conclusion, only a minority (∼ 20%) of HIV/HCV-co-infected patients show a favourable virological profile for responding to HCV therapy (genotypes 2/3 in 25% and HCV viraemia < 800 000 IU/ml in 33%). Therefore, dual IFN/ribavirin therapy should be extended to one year in the majority of HIV/HCV-co-infected patients in order to optimize the treatment response rate. Mayte Pérez-Olmeda Pilar Ríos Marina Núñez Javier García-Samaniego Miriam Romero Vincent Soriano

Récupéré en direct depuis OpenAlex et désinversé. Les résumés ne sont pas conservés dans cette base de données : les index inversés représentent 8,6 Go des 9,3 Go de texte de la base, et le serveur dispose de 13 Go libres.

Comment cette classification a été obtenuedéplier

Prédiction distillée sur la base complète

Imitation des enseignants

Ni prévalence calibrée, ni vérité terrain. Validation humaine à venir. Apprise à partir de 10 348 étiquettes directes de Codex et de 10 348 étiquettes directes de Gemma. Le mode candidate est l'union des têtes enseignantes seuillées; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont ni des étiquettes humaines ni des étiquettes directes de modèles de pointe.

score de la tête « metaresearch » (Codex)0,000
score de la tête « metaresearch » (Gemma)0,000
Version: codex-gemma-dda1882f352aStatut de validation: machine_predicted_unvalidated
Catégories candidatesaucune
Catégories consensuellesaucune
DomaineSignal candidat: aucune · Signal consensuel: aucune
Devis d'étudeSignal candidat: Observationnel · Signal consensuel: Observationnel
GenreSignal candidat: Empirique · Signal consensuel: Empirique
Score de désaccord entre enseignants0,065
Score d'incertitude au seuil1,000

Scores Codex et Gemma par catégorie

CatégorieCodexGemma
Métarecherche0,0000,000
Méta-épidémiologie (sens strict)0,0000,000
Méta-épidémiologie (sens large)0,0000,000
Bibliométrie0,0000,000
Études des sciences et des technologies0,0000,000
Communication savante0,0000,000
Science ouverte0,0000,000
Intégrité de la recherche0,0000,000
Charge utile insuffisante (le modèle a refusé de juger)0,0010,000

Scores machine (provisoires)

Les deux têtes enseignantes du modèle étudiant, lues sur ce travail. Un score ordonne la base pour la relecture; il n'affirme jamais une catégorie, et le statut de validation accompagne chaque rangée tel quel.

Scores de référence d'un modèle non mature (critères de maturité non atteints, 7 itérations). Un score ordonne; il n'affirme jamais une catégorie.

Tête enseignante Opus0,044
Tête enseignante GPT0,321
Écart entre enseignants0,277 · la distance entre les deux têtes enseignantes sur ce seul travail
Statut de validationscore_only:v0-immature-baseline · tel quel depuis la passe de notation : score_only signifie que le nombre peut ordonner les travaux, et qu'aucune étiquette de catégorie n'en découle

Classification

machine, non validée

Prédiction automatique; un appel candidat d’une seule tête enseignante, pas un consensus.

Les modèles n’ont appliqué aucune catégorie : rien dans la taxonomie ne correspondait à ce travail.
Devis d'étudeObservationnel
Domainenon disponible
GenreEmpirique

Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».

En bref

Citations20
Publié2002
Routes d'admission1
Résumé présentoui

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