Effectiveness of interferon-free therapy for the treatment of HCV-patients with compensated cirrhosis treated through the Irish early access program

Time lapses between distribution of influenza vaccines to health authorities and their administration by General Practitioners (GPs) to older adults: a retrospective study over five influenza seasons in Italy

BACKGROUND

Delays in influenza vaccine delivery and administration can hinder vaccine coverage and protection. This study examines the differentials in distributing and administering adjuvanted trivalent (aTIV) and quadrivalent influenza vaccines (aQIV) to older adults in Italy's primary care setting and its potential impact on hospitalization risk over 5 epidemic seasons.

METHODS

Using a primary care database, individuals aged ≥ 65 years were selected. The proportion of vaccine distribution to regional authorities and subsequent administration by GPs was estimated using census data. Using quantile (median) regression, we examined the relationship between velocities of vaccine distribution and administration (doses/week) and the incidence of hospitalizations.

RESULTS

Over the 5 influenza seasons, the velocity of distribution and administration of aTIV/aQIV ranged 341-833 and 152-270 median doses/week; no trend was yielded for the difference between these velocities (p = 0.189) or vaccine coverage (p = 0.142). An association was observed for each differential dose/week between distributed and administered vaccines and all-cause hospitalizations with a 10% increase in 2017-2018, 54% in 2018-2019, and 12% in 2020-2021 season.

CONCLUSIONS

These findings highlight the importance of minimizing the time lapse between vaccine distribution and administration to mitigate the impact of influenza and address factors that contribute to vaccination barriers.

Real-World Effectiveness of Direct-Acting Antiviral Regimens against Hepatitis C Virus (HCV) Genotype 3 Infection: A Systematic Review and Meta-Analysis

Patients with hepatitis C virus (HCV) genotype 3 (GT3) infection are resistant to direct-acting antiviral (DAA) treatments. This study aimed to analyze the effectiveness of sofosbuvir (SOF)+daclatasvir (DCV) ± ribavirin (RBV); SOF+velpatasvir (VEL)±RBV; SOF+VEL+voxilaprevir (VOX); and glecaprevir (GLE)+pibrentasvir (PIB) in the treatment of HCV GT3-infected patients in real-world studies. Articles were identified by searching the PubMed, EMBASE, and Cochrane Library databases from January 1, 2016 to September 10, 2019. The meta-analysis was conducted to determine the sustained virologic response (SVR) rate, using R 3.6.2 software. Thirty-four studies, conducted on a total of 7328 patients from 22 countries, met the inclusion criteria. The pooled SVR rate after 12/24 weeks of treatment was 92.07% (95% CI: 90.39-93.61%) for the evaluated regimens. Also, the SVR rate was 91.17% (95% CI: 89.23-92.94%) in patients treated with SOF+DCV±RBV; 95.08% (95% CI: 90.88-98.13%) in patients treated with SOF+VEL±RBV; 84.97% (95% CI: 73.32-93.91%) in patients treated with SOF+VEL+VOX; and 98.54% (95% CI: 96.40-99.82%) in patients treated with GLE+PIB. The pooled SVR rate of the four regimens was 95.24% (95% CI: 93.50-96.75%) in non-cirrhotic patients and 89.39% (95% CI: 86.07-92.33%) in cirrhotic patients. The pooled SVR rate was 94.41% (95% CI: 92.02-96.42%) in treatment-naive patients and 87.98% (95% CI: 84.31-91.25%) in treatment-experienced patients. The SVR rate of GLE+PIB was higher than other regimens. SOF+VEL+VOX can be used as a treatment regimen following DAA treatment failure.

Pharmacist-led pre-treatment assessment, management and outcomes in a Hepatitis C treatment patient cohort

Background Medication reconciliation and drug-drug interaction management represent important patient safety processes completed by pharmacists as part of Hepatitis C patient care. Objectives To describe the pharmacist-led interventions of medication reconciliation and drug-drug interaction assessment, grading and management in a real-world Hepatitis C treatment cohort and to assesses the impact on patient outcomes. Setting Two Hepatitis C hospital outpatient clinics at St. James's Hospital, Dublin. Method Patients treated with Hepatitis C direct acting anti-viral agents between December 2014 and February 2017 were included in this retrospective cohort study. The study employed a standardised medication reconciliation proforma and drug-drug interaction reference list. Main outcome measures Analyse medication variances identified during pharmacist-led medication reconciliation. Assess the prevalence, type and severity of drug-drug interactions between direct acting anti-virals and co-medications. Assess the rate of prescriber acceptance of the pharmacist-developed drug-drug interaction management strategies. Results Among the 300 patients in this study, medication reconciliation identified 1543 co-medications, with 71% of patients prescribed co-medications which were subject to a potential drug-drug interaction. Drug-drug interaction assessments assigned a rating of severe to 68 interaction episodes. At least one co-medication was stopped during treatment in 25% of patients to facilitate drug-drug interaction management. Pharmacist proposed management recommendations were accepted by prescribers in 96.9% of cases. The sustained virological response rate among the cohort was 92.7%. Conclusions In this Hepatitis C pre-treatment pharmacist assessment analysis, a significant number of medication reconciliation variances and clinically significant drug-drug interactions were identified which present unique and important patient safety risks. Pharmacist-led management strategies aided the achievement of optimum treatment response while promoting patient safety and antiviral stewardship.

The impact of individual patient data in a network meta-analysis: An investigation into parameter estimation and model selection

The use of individual patient data (IPD) in network meta-analysis (NMA) is becoming increasingly popular. However, as most studies do not report IPD, most NMAs are performed using aggregate data for at least some, if not all, of the studies. We investigate the benefits of including varying proportions of IPD studies in an NMA. Several models have previously been developed for including both aggregate data and IPD in the same NMA. We performed a simulation study based on these models to examine the impact of additional IPD studies on the accuracy and precision of the estimates of both the treatment effect and the covariate effect. We also compared the deviance information criterion (DIC) between models to assess model fit. An increased proportion of IPD resulted in more accurate and precise estimates for most models and datasets. However, the coverage probability sometimes decreased when the model was misspecified. The use of IPD leads to greater differences in DIC, which allows us choose the correct model more often. We analysed a Hepatitis C network consisting of 3 IPD observational studies. The ranking of treatments remained the same for all models and datasets. We observed similar results to the simulation study: The use of IPD leads to differences in DIC and more precise estimates for the covariate effect. However, IPD sometimes increased the posterior SD of the treatment effect estimate, which may indicate between study heterogeneity. We recommend that IPD should be used where possible, especially for assessing model fit.