Biased efficacy estimates in phase-III dengue vaccine trials due to heterogeneous exposure and differential detectability of primary infections across trial arms.

Vaccine efficacy (VE) estimates are crucial for assessing the suitability of dengue vaccine candidates for public health implementation, but efficacy trials are subject to a known bias to estimate VE toward the null if heterogeneous exposure is not accounted for in the analysis of trial data. In light of many well-characterized sources of heterogeneity in dengue virus (DENV) transmission, our goal was to estimate the potential magnitude of this bias in VE estimates for a hypothetical dengue vaccine. To ensure that we realistically modeled heterogeneous exposure, we simulated city-wide DENV transmission and vaccine trial protocols using an agent-based model calibrated with entomological and epidemiological data from long-term field studies in Iquitos, Peru. By simulating a vaccine with a true VE of 0.8 in 1,000 replicate trials each designed to attain 90% power, we found that conventional methods underestimated VE by as much as 21% due to heterogeneous exposure. Accounting for the number of exposures in the vaccine and placebo arms eliminated this bias completely, and the more realistic option of including a frailty term to model exposure as a random effect reduced this bias partially. We also discovered a distinct bias in VE estimates away from the null due to lower detectability of primary DENV infections among seronegative individuals in the vaccinated group. This difference in detectability resulted from our assumption that primary infections in vaccinees who are seronegative at baseline resemble secondary infections, which experience a shorter window of detectable viremia due to a quicker immune response. This resulted in an artefactual finding that VE estimates for the seronegative group were approximately 1% greater than for the seropositive group. Simulation models of vaccine trials that account for these factors can be used to anticipate the extent of bias in field trials and to aid in their interpretation

Le FORUM, Vol. 38 No. 4

https://digitalcommons.library.umaine.edu/francoamericain_forum/1043/thumbnail.jp

La Recherche clinique en France dans le domaine des thérapies cellulaires (état des lieux et analyse méthodologique des protocoles soumis à l'AFSSAPS entre 1996 et 2004)

LYON1-BU Santé (693882101) / SudocSudocFranceF

Introducing new vaccines in low- and middle-income countries: challenges and approaches

Introduction: The number of new vaccine introductions (NVIs) in low and middle-income countries (LMICs) has markedly increased since 2010, raising challenges to often overstretched and underfunded health care systems. Areas covered: We present an overview of some of these challenges, focusing on programmatic decisions, delivery strategy, information and communication, pharmacovigilance and post-licensure evaluation. We also highlight field-based initiatives that may facilitate NVI. Expert commentary: Some new vaccines targeting populations other than infants require alternative delivery strategies. NVIs impact upon existing supply chain management, in particular vaccines with novel characteristics. A lack of understanding about immunization and misconceptions may be detrimental to NVI, as well as insufficient or poorly trained health care workforce. Many barriers exist to achieving good vaccination coverage. Real-world evaluation of vaccine safety, effectiveness and impact in LMICs may be limited by lack of robust demographic and disease epidemiology data, as well as limited health care and surveillance infrastructure. A thorough planning phase is crucial to define the most suitable delivery strategy based on the vaccine’s and country’s specificities. A communication plan and social mobilization are essential. Implementation research and innovative approaches applied to logistics, delivery, communication and program evaluation can facilitate NVI

Modeling the hepatitis A epidemiological transition in Brazil and Mexico

Background: Many low- to middle-income countries have completed or are in the process of transitioning from high or intermediate to low endemicity for hepatitis A virus (HAV). Because the risk of severe hepatitis A disease increases with age at infection, decreased incidence that leaves older children and adults susceptible to HAV infection may actually increase the population-level burden of disease from HAV. Mathematical models can be helpful for projecting future epidemiological profiles for HAV. Methods: An age-specific deterministic, dynamic compartmental transmission model with stratification by setting (rural versus urban) was calibrated with country-specific data on demography, urbanization, and seroprevalence of anti-HAV antibodies. HAV transmission was modeled as a function of setting-specific access to safe water. The model was then used to project various HAV-related epidemiological outcomes in Brazil and in Mexico from 1950 to 2050. Results: The projected epidemiological outcomes were qualitatively similar in the 2 countries. The age at the midpoint of population immunity (AMPI) increased considerably and the mean age of symptomatic HAV cases shifted from childhood to early adulthood. The projected overall incidence rate of HAV infections decreased by about two thirds as safe water access improved. However, the incidence rate of symptomatic HAV infections remained roughly the same over the projection period. The incidence rates of HAV infections (all and symptomatic alone) were projected to become similar in rural and urban settings in the next decades. Conclusion: This model featuring population age structure, urbanization and access to safe water as key contributors to the epidemiological transition for HAV was previously validated with data from Thailand and fits equally well with data from Latin American countries. Assuming no introduction of a vaccination program over the projection period, both Brazil and Mexico were projected to experience a continued decrease in HAV incidence rates without any substantial decrease in the incidence rates of symptomatic HAV infections

Abschlussbericht der Influenzasaison 2004/05

Die Ergebnisse der Influenza-Überwachung der Saison 2004/05 basieren auf den Daten, die von 918 ehrenamtlich mitarbeitenden Ärzten aus 783 Praxen des Sentinelsystems der Arbeitsgemeinschaft Influenza (AGI) sowie den deutschen Gesundheitsämtern erhoben wurden. Sie beinhalten auch Informationen über die virologische Analyse identifizierter Influenzaviren aus einer Subgruppe von Patienten, deren Abstriche von den Ärzten aus 134 Praxen an die Nationalen Referenzzentren für Influenza (NRZ) gesandt wurden. Außerdem wurden die nach dem Infektionsschutzgesetz (IfSG) an das Robert Koch-Institut (RKI) übermittelten Meldedaten aus dem gesamten Bundesgebiet berücksichtigt

Incidence of dengue illness in Mexican people aged 6 months to 50 years old: A prospective cohort study conducted in Jalisco.

Background and objectivesThe burden of dengue virus (DENV), a mosquito-borne pathogen, remains difficult to assess due to misdiagnosis and underreporting. Moreover, the large proportion of asymptomatic dengue cases impairs comprehensive assessment of its epidemiology even where effective surveillance systems are in place. We conducted a prospective community-based study to assess the incidence of symptomatic dengue cases in Zapopan and neighboring municipalities in the state of Jalisco, Mexico.MethodsHealthy subjects aged 6 months to 50 years living in households located in the Zapopan and neighboring municipalities were enrolled for a 24-month follow-up study (NCT02766088). Serostatus was determined at enrolment and weekly contacts were conducted via phone calls and home visits. Participants had to report any febrile episode lasting for at least two days. Suspected dengue cases were tested by reverse-transcriptase quantitative polymerase chain reaction (RT-qPCR), detection of non-structural protein 1 (NS1), anti-DENV immunoglobulin G and M (IgG and IgM) assays.ResultsA total of 350 individuals from 87 households were enrolled. The overall seroprevalence of anti-DENV IgG at enrolment was 19.4% (95% confidence interval [CI] 14.5-25.6) with the highest seroprevalence rate observed in the adult group. Over the 27-month study period from July 2016 to September 2018, a total of 18 suspected dengue cases were reported. Four cases were confirmed by RT-qPCR and serotyped as DENV-1. A fifth case was confirmed by the NS1 assay. The 13 remaining suspected cases were tested negative by these assays. Based on the 5 virologically confirmed cases, symptomatic dengue incidence proportion of 1.4% (95%CI 0.5-3.8) was estimated. No severe cases or hospitalizations occurred during the study.ConclusionCommunity-based active surveillance was shown as efficient to detect symptomatic dengue cases.Clinical trial registrationNCT02766088

Hepatitis B virus infection and the risk of liver disease progression in type 2 diabetic patients with potential nonalcoholic fatty liver disease: a retrospective, observational, cohort study in the United Kingdom Clinical Practice Research Datalink.

OBJECTIVE: Assess the risk of progression to cirrhosis and hepatocellular carcinoma (HCC) due to hepatitis B virus (HBV)-infection in patients with nonalcoholic fatty liver disease (NAFLD) and type 2 diabetes mellitus (T2DM). METHODS: Retrospective cohort study in the UK Clinical Practice Research Datalink with three cohorts: subjects with T2DM and HBV infection (T2DM+HBV cohort; N = 297), with T2DM without HBV-infection (T2DM cohort; N = 261 865), and with HBV-infection without T2DM (HBV cohort; N = 3630). Primary analyses were performed on the three cohorts and secondary analyses on subcohorts including patients with NAFLD diagnosis code (N = 6599). Case/outcome definitions were formulated with International Classification of Diseases/Read codes/laboratory results and classified using validated algorithms. Adjusted incidence rate ratios (IRR) were estimated with a Poisson regression model. RESULTS: When comparing the T2DM+HBV and T2DM cohorts, adjusted IRRs were 14.06 (95% confidence interval: 4.47-44.19) for cirrhosis and 2.83 (1.06-7.55) for HCC. When comparing the T2DM+HBV and HBV cohorts, adjusted IRRs were 0.68 (0.21-2.27) for cirrhosis and 1.39 (0.46-4.20) for HCC. No cirrhosis cases were identified in T2DM+NAFLD+HBV patients; IRs were 16.92/10 000 person-years (12.97-21.69) and 85.24/10 000 person-years (10.32-307.91) in the T2DM+NAFLD and NAFLD+HBV cohorts. CONCLUSION: HBV-infection increased significantly the risk for cirrhosis among T2DM patients, however, not beyond the expected incremental risk among infected non-T2DM subjects. Our approach to evaluate the role of T2DM/NAFLD and HBV-infection in liver disease progression could be applied to other settings with higher HBV prevalence