Serotype distribution of remaining pneumococcal meningitis in the mature PCV10/13 period: Findings from the PSERENADE Project

Maria Garcia Quesada (Corresponding Author), Larisa Savrasova, PSERENADE Team

    Research output: Contribution to journalArticlepeer-review

    36 Citations (Scopus)
    8 Downloads (Pure)

    Abstract

    Pneumococcal conjugate vaccine (PCV) introduction has reduced pneumococcal meningitis incidence. The Pneumococcal Serotype Replacement and Distribution Estimation (PSERENADE) project described the serotype distribution of remaining pneumococcal meningitis in countries using PCV10/13 for least 5-7 years with primary series uptake above 70%. The distribution was estimated using a multinomial Dirichlet regression model, stratified by PCV product and age. In PCV10-using sites (N = 8; cases = 1141), PCV10 types caused 5% of cases <5 years of age and 15% among ≥5 years; the top serotypes were 19A, 6C, and 3, together causing 42% of cases <5 years and 37% ≥5 years. In PCV13-using sites (N = 32; cases = 4503), PCV13 types caused 14% in <5 and 26% in ≥5 years; 4% and 13%, respectively, were serotype 3. Among the top serotypes are five (15BC, 8, 12F, 10A, and 22F) included in higher-valency PCVs under evaluation. Other top serotypes (24F, 23B, and 23A) are not in any known investigational product. In countries with mature vaccination programs, the proportion of pneumococcal meningitis caused by vaccine-in-use serotypes is lower (≤26% across all ages) than pre-PCV (≥70% in children). Higher-valency PCVs under evaluation target over half of remaining pneumococcal meningitis cases, but questions remain regarding generalizability to the African meningitis belt where additional data are needed.

    Original languageEnglish
    Article number738
    Number of pages21
    JournalMicroorganisms
    Volume9
    Issue number4
    DOIs
    Publication statusPublished - 2021

    Keywords*

    • Global
    • Meta-analysis
    • PCV impact
    • Pneumococcal meningitis
    • Serotype distribution

    Field of Science*

    • 3.3 Health sciences
    • 1.6 Biological sciences

    Publication Type*

    • 1.1. Scientific article indexed in Web of Science and/or Scopus database

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