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Composting of organic wastes is a management strategy linked to circular economy models through the transformation of these wastes into an organic product, compost, which can be used as fertiliser, soil amendment or growing media. However, the concept of ‘compost quality’ is not enough defined to take a technical decision about which is its best use or application. In the last decade, different guidelines and regulations about organic fertilisers have been developed. For instance, in Spain the Fertilisers Regulation categorises compost under five kinds according to the raw materials used - organic amendment compost (OaC), manure compost (MaC), green compost (GrC), vermicompost (VC), ‘alperujo’ compost (AlC) -, and under three quality levels (A, B or C) depending exclusively on the heavy metals content. This work analyses the national database of all composts (307) marketed in Spain, considering the analytical parameters declared, with the objective of proposing a methodology to define a global quality index. For this assessment, two indicators are employed: a fertility indicator, related to the nutrients content, and a clean indicator, related to the heavy metals content. Results show an average compost formulation 2.5:2.5:2.5 (N:P2O5:K2O). MaC and OaC present the highest fertility indicator, whereas VC the lowest. Regarding the clean indicator, GrC, MaC and VC are cleaner than OaC. In the future, this new quality assessment should be completed by including other indicators related to physical and biological characteristic (e.g. porosity, stability/maturity, phytotoxicity) that could determine the most proper use of compost.

Severe alcoholic hepatitis is associated with high early mortality. This study aimed at identifying prognostic factors associated with in-hospital, medium- and long-term mortality of severe alcoholic hepatitis and to evaluate the different prognostic scoring systems on a cohort of patients in our hospital. To this end, we conducted a retrospective analysis of 66 episodes admitted between 2000 and 2008. Clinical and laboratory data on admission, at 7 days, 1 month, 6 months, and after one year were collected and analyzed, as were the details on the treatment and complications that occurred during hospitalization; the different prognostic indices used in the literature were calculated. Death event associated with an episode of severe alcoholic hepatitis occurs primarily during the first month, with an average mortality rate of 16.9. Infectious complications were associated with lower in-hospital survival. MELD score, urea and bilirubin values one week after admission were independently associated with both in-hospital survival (OR = 1.14, 1.012 and 1.1, respectively), and survival at 6 months (OR = 1, 15; 1.014 and 1.016, respectively). Only MELD score and urea values at 7 days were independent predictors of survival twelve months after the acute hepatitis episode. MELD score, urea, and bilirubin 7 days after admission were the only independent in-hospital survival and also long-term survival factors 6 months and one year after the episode. In our cohort, the MELD score was the best prognostic index to predict mortality associated with an episode of severe alcoholic hepatitis.

The hepatitis C virus (HCV) genotype is an important predictive outcome parameter for pegylated interferon plus ribavirin therapy. Most published therapeutic trials to date have enrolled mainly patients with HCV genotypes 1, 2 and 3. Limited studies have focused on genotype 4 patients, who have had a poor representation in pivotal trials. Our aim was to evaluate the efficacy and safety of treatment with standard dose pegylated interferon alfa-2a in combination with weight-based ribavirin in patients with chronic hepatitis C genotype 4. In this prospective observational study, 198 patients with HCV-4 were included in this study from February 2004 to August 2005,188 patients who received at least 1 dose of drugs were included in the ITT analysis and they were treated with pegylated interferon alfa-2a and ribavirin for 48 weeks. Baseline and demographic characteristics, response to treatment at weeks 12, 48 and 72, and the nature and frequency of adverse effects were analyzed. Virological response at week 12 was achieved in 144 patients (76.6%). Virological response at the end of treatment was present in 110 patients (58.5%). At week 72, 99 patients presented SVR (52.7%). The reported adverse events were similar to those found in the literature for treatments of similar dose and duration. In conclusion, combined treatment with pegylated interferon alfa-2a and ribavirin was well tolerated and effective in chronic hepatitis C genotype 4, yielding response rates between those reported for genotype 1 and those of genotypes 2-3.

Background and aims: the management of acute hepatitis C (AHC) is controversial. We have conducted a retrospective study to determine the epidemiological and biochemical aspects, the genotypes, the spontaneous clearance of HCV (SVC), and the treatment responses in patients with AHC. Methods: we have retrospectively collected data from 131 patients with AHC from 18 Spanish hospitals. Results: the mean age was 43 ± 16 years (17-83), 69% were symptomatic. The causes of infection were nosocomial in 40% and intravenous drug users in 20%. Eighty two percent had genotype 1. The delay from symptoms-onset to HCV-RNA confirmation was 50 ± 68 days (range, 11-350 days) and to treatment (in 59%) 14 ±13 weeks (range, 2-58 days). In the treated group, 80% achieved sustained virological response (SVR) versus 57% SVC in untreated patients (p = 0.004). Up to 96% of those treated within the first 12 weeks had SVR versus 86% of those treated later (p = 0.04). Patients with HCV-RNA(-) at week 4 resolved with or without treatment more frequently than those HCV-RNA(+) (98 versus 69%, p = 0.005). The treatment was not beneficial if HCV-RNA was undetectable at week 12. No differences in SVR were found in genotype 1 patients treated for 24 or 48 weeks. Patients with low baseline viral load achieved higher SVC and SVR. The SVC in patients with bilirubin > 5 mg/dl was 78 versus 40% in those with lower values (p = 0.004). Conclusions: the most common transmission route was nosocomial. SVR was higher in patients treated than SVC in non-treated. Early treatment (before week 12) achieved the highest response rate. SVC and SVR were more common in patients with a low baseline viral load. Undetectable HCV-RNA at week 4 was associated with high SVR and SVC rates. Jaundice was related with SVC.Introducción y objetivos: el manejo de la hepatitis aguda C (HAC) es objeto de controversia. Hemos realizado un estudio prospectivo para conocer los aspectos epidemiológicos, bioquímicos, los genotipos, el aclaramiento espontáneo del VHC (SVC) y la respuesta al tratamiento en una serie de pacientes con HAC. Métodos: hemos analizado los datos retrospectivos de 131 pacientes con HAC de 18 hospitales españoles. Resultados: la edad media fue de 43 ± 16 años (17-83). El 69% tenían síntomas. Las causas de la infección fueron nosocomial en el 40% y CDVP en el 20%. El genotipo 1 se halló en el 82%. El retraso desde el comienzo de los síntomas hasta la confirmación del ARN-VHC fue de 50 ± 68 días (11-350) y hasta el tratamiento (en el 59% de los casos), de 14 ± 13 semanas (2-58). En el grupo tratado el 80% alcanzaron RVS frente al 57% de SVC en el grupo no tratado (p = 0,004). El 96% de los que recibieron tratamiento dentro de las primeras 12 semanas tuvieron RVS frente al 86% de los que se trataron más tarde (p = 0,04). Los pacientes con RNA-VHC indetectable en la semana 4 resolvieron la infección, con o sin tratamiento, con mayor frecuencia que los que persistían con ARN-VHC + (98 vs. 69%, p = 0,005). El tratamiento no resultó beneficioso en los pacientes con ARN-VHC indetectable en la semana 12. No hubo diferencias en la RVS en los pacientes con Gt 1 tratados 24 ó 48 semanas. Los pacientes con carga viral basal baja lograron mayores RVS y SVC. El SVC en aquellos con bilirrubina > 5 mg/dl fue del 78 vs. 40% en los que tenían valores más bajos (p = 0,004). Conclusiones: la vía de contagio más frecuente fue la nosocomial. La RVS fue mayor en pacientes tratados que la SVC en no tratados. El tratamiento precoz (antes de la semana 12) logró la mayor tasa de respuestas. El SVC y la RVS fueron más frecuentes en los que tenían una carga viral basal más baja. El ARN-VHC indetectable en la semana 4 se asoció con mayor frecuencia de SVC y de RVS. La ictericia se relacionó con el SVC.

Virological response to peginterferon + ribavirin (P+R) at week 4 can predict sustained virological response (SVR). While patients with rapid virological response (RVR) do not require triple therapy, patients with a decline

BACKGROUND:Only about 50% of patients chronically infected with HCV genotype 1 (HCV-1) respond to treatment with pegylated interferon-alfa and ribavirin (dual therapy), and protease inhibitors have to be administered together with these drugs increasing costs and side-effects. We aimed to develop a predictive model of treatment response based on a combination of baseline clinical and viral parameters. METHODOLOGY:Seventy-four patients chronically infected with HCV-1b and treated with dual therapy were studied (53 retrospectively -training group-, and 21 prospectively -validation group-). Host and viral-related factors (viral load, and genetic variability in the E1-E2, core and Interferon Sensitivity Determining Region) were assessed. Multivariate discriminant analysis and decision tree analysis were used to develop predictive models on the training group, which were then validated in the validation group. PRINCIPAL FINDINGS:A multivariate discriminant predictive model was generated including the following variables in decreasing order of significance: the number of viral variants in the E1-E2 region, an amino acid substitution pattern in the viral core region, the IL28B polymorphism, serum GGT and ALT levels, and viral load. Using this model treatment outcome was accurately predicted in the training group (AUROC = 0.9444; 96.3% specificity, 94.7% PPV, 75% sensitivity, 81% NPV), and the accuracy remained high in the validation group (AUROC = 0.8148, 88.9% specificity, 90.0% PPV, 75.0% sensitivity, 72.7% NPV). A second model was obtained by a decision tree analysis and showed a similarly high accuracy in the training group but a worse reproducibility in the validation group (AUROC = 0.9072 vs. 0.7361, respectively). CONCLUSIONS AND SIGNIFICANCE:The baseline predictive models obtained including both host and viral variables had a high positive predictive value in our population of Spanish HCV-1b treatment naïve patients. Accurately identifying those patients that would respond to the dual therapy could help reducing implementation costs and additional side effects of new treatment regimens.

Current treatment of chronic hepatitis C virus (HCV) infection has limited efficacy -especially among genotype 1 infected patients-, is costly, and involves severe side effects. Thus, predicting non-response is of major interest for both patient wellbeing and health care expense. At present, treatment cannot be individualized on the basis of any baseline predictor of response. We aimed to identify pre-treatment clinical and virological parameters associated with treatment failure, as well as to assess whether therapy outcome could be predicted at baseline.Forty-three HCV subtype 1b (HCV-1b) chronically infected patients treated with pegylated-interferon alpha plus ribavirin were retrospectively studied (21 responders and 22 non-responders). Host (gender, age, weight, transaminase levels, fibrosis stage, and source of infection) and viral-related factors (viral load, and genetic variability in the E1-E2 and Core regions) were assessed. Logistic regression and discriminant analyses were used to develop predictive models. A "leave-one-out" cross-validation method was used to assess the reliability of the discriminant models.Lower alanine transaminase levels (ALT, p=0.009), a higher number of quasispecies variants in the E1-E2 region (number of haplotypes, nHap_E1-E2) (p=0.003), and the absence of both amino acid arginine at position 70 and leucine at position 91 in the Core region (p=0.039) were significantly associated with treatment failure. Therapy outcome was most accurately predicted by discriminant analysis (90.5% sensitivity and 95.5% specificity, 85.7% sensitivity and 81.8% specificity after cross-validation); the most significant variables included in the predictive model were the Core amino acid pattern, the nHap_E1-E2, and gamma-glutamyl transferase and ALT levels.Discriminant analysis has been shown as a useful tool to predict treatment outcome using baseline HCV genetic variability and host characteristics. The discriminant models obtained in this study led to accurate predictions in our population of Spanish HCV-1b treatment naïve patients.