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. 2018 Sep 4;5(9):ofy211.
doi: 10.1093/ofid/ofy211. eCollection 2018 Sep.

Should Sex Be Considered an Effect Modifier in the Evaluation of Influenza Vaccine Effectiveness?

Affiliations

Should Sex Be Considered an Effect Modifier in the Evaluation of Influenza Vaccine Effectiveness?

Catharine Chambers et al. Open Forum Infect Dis. .

Abstract

We investigated sex as a potential modifier of influenza vaccine effectiveness (VE) between 2010-2011 and 2016-2017 in Canada. Overall VE was 49% (95% confidence interval [CI], 43% to 55%) for females and 38% (95% CI, 28% to 46%) for males (absolute difference [AD], 11%; P = .03). Sex differences were greatest for influenza A(H3N2) (AD, 17%; P = .07) and B(Victoria) (AD, 20%; P = .08) compared with A(H1N1)pdm09 (AD, 10%; P = .19) or B(Yamagata) (AD, -3%; P = .68). They were also more pronounced in older adults ≥50 years (AD, 19%; P = .03) compared with those <20 years (AD, 4%; P = .74) or 20-49 years (AD, -1%; P = .90) but with variation by subtype/lineage. More definitive investigations of VE by sex and age are warranted to elucidate these potential interactions.

Keywords: effect modification; gender; influenza vaccine; influenza virus; sex; vaccine effectiveness.

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Figures

Figure 1.
Figure 1.
Vaccine effectiveness estimates by sex for influenza A subtype and influenza B lineage. P values indicate significance of vaccine*sex interaction. aCovariates included in the interaction model were vaccination status (no, yes), sex (female, male), age group (1–8, 9–19, 20–49, 50–64, ≥65 years), comorbidity (no, yes), province (AB, BC, ON, QC), collection interval (≤4, 5–7 days), calendar time (week of specimen collection based on cubic B-spline with 3 equal knots), season, and vaccine*sex. bA(H1N1)pdm09 analysis excludes 2014–2015 and 2016–2017 due to low A(H1N1)pdm09 circulation those seasons. cA(H3N2) analysis excludes 2013–2014 due to low A(H3N2) circulation that season. Excluding both the 2013–2014 and 2014–2015 seasons, VE for A(H3N2) was 49% (95% CI, 37% to 58%) among females and 29% (95% CI, 9% to 44%) among males (AD, 20%; P = .03). dB(Yamagata) analysis excludes 2010–2011 due to low B(Yamagata) circulation that season. eB(Victoria) analysis excludes 2013–2014, 2014–2015, and 2016–2017 due to low B(Victoria) circulation those seasons. Abbreviations: AD, absolute difference (Δ female – male); CI, confidence interval; VE, vaccine effectiveness.
Figure 2.
Figure 2.
Vaccine effectiveness estimates by sex for patient age groups. P values indicate significance of vaccine*sex interaction. aCovariates included in the interaction model were vaccination status (no, yes), sex (female, male), comorbidity (no, yes), province (AB, BC, ON, QC), collection interval (≤4, 5–7 days), calendar time (week of specimen collection based on cubic B-spline with 3 equal knots), season, and vaccine*sex. Abbreviations: AD, absolute difference (Δ female – male); CI, confidence interval; VE, vaccine effectiveness.

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