<?xml version="1.0" encoding="UTF-8" standalone="no" ?>
<rss version="2.0">
  <channel>
    <title>Lüchters, G.</title>
    <link>http://repub.eur.nl/res/aut/9697/</link>
    <description>List of Publications</description>
    <language>en</language>
    <image>
      <url>http://repub.eur.nl/static-eur/img/logo.png</url>
      <title>RePub, Erasmus University Rotterdam</title>
      <link>http://repub.eur.nl</link>
    </image>
    <item>
      <title>Seroprotection rate, mean fold increase, seroconversion rate: which parameter adequately expresses seroresponse to influenza vaccination? (Article)</title>
      <link>http://repub.eur.nl/res/pub/3959/</link>
      <pubDate>2004-07-01T00:00:00Z</pubDate>
      <description>Serological parameters intend to describe antibody response to influenza vaccine in a population. However, there is uncertainty about the mathematical appropriateness and the biological or clinical meaning of conventionally used parameters. Theoretical considerations and exploration of a data-set of 16 studies with an inactivated (subunit) influenza vaccine involving 1176 adult subjects suggest the following conclusions. In a population seronegative before vaccination, the post-vaccination geometric mean titre (post-GMT) is a meaningful immunological parameter adequately expressing antibody response after vaccination. The related protection rate (PR) is a good surrogate parameter for protection provided by a given vaccine, thus relevant to public health. However, in a population partially seropositive before vaccination (due to previous exposition to influenza antigens), the same parameters may, under certain conditions, seriously overestimate the antibody response, as they do not account for the pre-vaccination state. Conventional attempts to address pre-vaccination antibody are associated with either loss of information (exclusion of seropositive subjects) or incomplete control of pre-vaccination state (mean fold increase (MFI), response rate (RR)). Although not devoid of theoretical limitations (heteroscedasticity), correction of post-GMT and PR by linear regression appears to provide better estimates of antibody response and vaccine immunogenicity.</description>
    </item> <item>
      <title>Influenza vaccines: the effect of vaccine dose on antibody response in primed populations during the ongoing interpandemic period. A review of the literature. (Article)</title>
      <link>http://repub.eur.nl/res/pub/15005/</link>
      <pubDate>1993-01-01T00:00:00Z</pubDate>
      <description>Health authorities tend to favour an increase of the antigen dose in inactivated influenza vaccines from &lt; or = 10 micrograms haemagglutinin (HA) per vaccine strain to 15 micrograms HA/strain. The increased dose is expected to yield a meaningful increase in the number of subjects to be protected after vaccination. To verify this expectation, we have reviewed 20 published reports (1978-1991) of serological studies in which anti-HA-IgG antibody after different doses was measured. In the review, stratification groups of previously primed subjects were formed and the antibody response was estimated for doses of 10 and 15 micrograms HA by linear k*2-chi 2 model. Despite a considerable heterogenicity of study populations, study designs, vaccine types and strains, and antibody assays, the results were consistent in revealing high protection rates (&gt; or = 75%) for a 10 micrograms HA dose of influenza A vaccine components. For both response and protection rates, an increase of the antigenic load from 10 to 15 micrograms HA was not associated with a meaningful increase of seroresponse: in 38 out of 39 stratification groups, the increase of response and/or protection rate varied between -9% and +8%, with a median of 1.5%. These results do not justify the expectation that a vaccine dose of 15 micrograms HA per strain would be clinically superior to a dose of 10 micrograms HA. Only in a group of immune-compromised patients on chronic intermittent haemodialysis were results in favour of a higher dose found, which may justify further evaluation in this special population.</description>
    </item>
  </channel>
</rss>