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. Author manuscript; available in PMC: 2025 Dec 2.
Published before final editing as: Clin Infect Dis. 2025 Oct 16:ciaf579. doi: 10.1093/cid/ciaf579

Absolute and Relative Effectiveness of Cell Culture–Based and Egg–Based Quadrivalent Inactivated Influenza (Flu) Vaccine Products From the 2014–2015 to 2018–2019 Seasons, US Flu VE Network

Manjusha Gaglani 1,2, Chandni Raiyani 1, Kempapura Murthy 1, Michael Smith 1, Briget da Graca 1, Gueorgui Dubrocq 1,2, Madhava Beeram 1,2, Emily T Martin 3, Arnold S Monto 3, Richard K Zimmerman 4, Mary Patricia Nowalk 4, Erika Kiniry 5, C Hallie Phillips 5, Huong Q Nguyen 6, Jennifer P King 6, Sara S Kim 7, Jessie R Chung 7, Brendan Flannery 7
PMCID: PMC12667161  NIHMSID: NIHMS2122903  PMID: 41102880

Abstract

Background.

Estimates of the annual effectiveness of influenza vaccination combine multiple vaccine types. Reports of brand/product-specific vaccine effectiveness (VE) of egg-based and cell culture–based quadrivalent inactivated influenza vaccines (IIV4 and ccIIV4, respectively) are limited.

Methods.

Using an observational test-negative study design, we compared the effectiveness of selected IIV4 and ccIIV4 products among outpatients enrolled in the US Influenza Vaccine Effectiveness (Flu VE) Network from 2014–2015 to 2018–2019. We used multivariable logistic regression to estimate the product-specific and age group–specific absolute VE and relative VE (rVE) of recommended, age-appropriate vaccines against symptomatic laboratory-confirmed outpatient influenza. The rVE of ccIIV4 versus IIV4 products was estimated during 2 seasons from 2017–2019 among participants aged ≥4 years.

Results.

Pooling data from 5 influenza seasons when 18% and 15% of vaccinated patients had received Fluarix Quadrivalent or Fluzone Quadrivalent IIV4, respectively, the VE against influenza was 32% for Fluarix and 37% for Fluzone. Pooling 2 seasons when 11% and 28% of vaccinated patients had received ccIIV4 (Flucelvax Quadrivalent) and IIV4 (FluLaval Quadrivalent), respectively, the VE against influenza for each product was 30%. The absolute VE compared with unvaccinated patients was lowest against influenza A(H3N2) compared with that against A(H1N1)pdm09 and each B lineage; VE point estimates were lowest among patients aged ≥50 years compared with 2 younger age groups. The rVE estimates were not statistically significant, indicating similar protection across vaccine products.

Conclusions.

Comparisons of influenza vaccine products over multiple seasons showed benefit of both IIV4 and ccIIV4 against symptomatic laboratory-confirmed outpatient influenza, with similar absolute and relative levels of protection provided by each product.

Keywords: quadrivalent inactivated influenza vaccine product effectiveness, cell culture–based influenza vaccine product effectiveness, egg-based influenza vaccine product effectiveness, comparative influenza vaccine product effectiveness, relative influenza vaccine product effectiveness


Annual influenza vaccination is recommended by the Advisory Committee of Immunization Practices of the US Centers for Disease Control and Prevention for everyone aged ≥6 months without contraindications [1]. All cell culture–based, recombinant hemagglutinin, and egg-based influenza vaccine strains are selected by the US Food and Drug Administration (FDA) [2]. The FDA plays a critical role in inspecting manufacturing facilities, and ensuring vaccine standardization for identity, sterility, potency and lot consistency [3]. However, vaccine production methods differ, and influenza vaccine effectiveness (VE) can vary across vaccine types (eg, egg-based or cell culture–based inactivated, egg-based live attenuated, and recombinant-protein vaccines), and content (eg, standard-dose, high-dose, or adjuvanted vaccines) [4, 5 ]. There is limited information regarding the VE of specific brands/products. Decisions regarding vaccine purchasing may be informed by product characteristics, price, and specific recommendations [6]. Except for people aged ≥65 years, there are currently no preferential recommendations for vaccine types [1]. Vaccine uptake is primarily influenced by product availability at the place and time of immunization [1, 7].

Each influenza season since 2004–2005 (except 2020–2021), the US Influenza Vaccine Effectiveness (VE) Network (US Flu VE Network) [8] published age group–specific VE estimates, including against influenza A subtypes and B lineages [9]. Multiseason analyses included age group–specific and vaccine type–specific VE estimates [5, 10] and the relative effectiveness (rVE) of egg-based inactivated influenza vaccine, trivalent (IIV3; containing 1 B lineage) versus quadrivalent (IIV4; containing both B lineages) [11]. To generate evidence for product/brand-specific IIV4 or cell culture–based IIV4 (ccIIV4) effectiveness, we compared the absolute VE and relative VE (rVE) of age-appropriate vaccine products among outpatients enrolled in the US Flu VE Network from 2014–2015 to 2018–2019.

METHODS

Study Setting and Participants

US Flu VE Network study sites and methods from the 2014–2015 to 2018–2019 seasons have been described elsewhere [12]. Outpatients aged ≥6 months requiring care for an acute respiratory illness of ≤7 days, with cough, were systematically screened and enrolled in Michigan, Pennsylvania, Texas, Washington, and Wisconsin. Patients or their parents/guardians completed questionnaires and provided upper respiratory specimens for influenza detection by means of reverse-transcription polymerase chain reaction (RT-PCR) (Supplementary Methods, Supplementary Table 1). The protocol, instruments, and consent and assent forms were approved by site institutional review boards and the Centers for Disease Control and Prevention. Before each enrollment, we obtained informed consent and when appropriate, assent.

Influenza Vaccination Status

Vaccination was confirmed from electronic immunization records, state immunization registries, and provider records. Product verification included lot number or brand name; for discordant vaccination data, we gave precedence to a manufacturer-verified lot number. Supplementary Table 2 shows age-specific vaccine recommendations for each season.

Exclusions

Product-specific VE and comparisons included outpatients enrolled during periods of influenza circulation at each site and season (Supplementary Methods). Analyses were restricted to patient ages for which specific products were licensed and recommended. We excluded partially vaccinated children who received a single dose when 2 doses in the same season were recommended (Supplementary Methods). Sites and seasons were included in product-specific absolute VE estimates based on prespecified criteria; a site was included in a season if ≥10 enrolled patients had received a specific product for that season, and a season was included for a specific product if ≥3 sites were eligible. Absolute product-specific VE estimates and rVE comparisons required a minimum of 2 seasons during which ≥50 vaccinated patients across all eligible sites received an eligible product each season, or ≥100 vaccinated patients over ≥2 seasons. Sample size estimates for reporting interim influenza VE requires a minimum of 135 influenza-positive cases to detect 40% VE with 55% vaccine coverage among influenza-negative controls [13].

Because Flucelvax Quadrivalent ccIIV4 was approved for persons aged ≥4 years (Supplementary Table 2), the VE estimates and rVE comparisons for Flucelvax were restricted to patients aged ≥4 years. In addition to pairwise rVE comparisons, we calculated the rVE of Flucelvax ccIIV4 to all aggregated IIV4 products from 2017–2018 to 2018–2019. To increase the sample size of cell culture–based versus aggregated egg-based rVE comparisons, we performed ad hoc analyses of ccIIV4 versus IIV4, including data from an additional season of 2019–2020 [14]. We performed sensitivity analyses for cell culture–based versus aggregated egg-based rVE comparisons limited to the cell culture–based antigens included in ccIIV4 each season.

Statistical Analyses

We performed descriptive statistical analyses and estimated product-specific absolute VE, comparing the odds of symptomatic RT-PCR–confirmed outpatient influenza among patients who had received a specific product versus the odds among unvaccinated participants from the same sites and seasons as the specific product, and rVE, comparing the odds of influenza among patients who had received 1 of 2 specific products (Supplementary Methods). The absolute VE was defined as 100×(1-adjustedoddsratio) from multivariable logistic regression. Covariates assessed in hierarchical model selection included patient characteristics (age, sex, race/ethnicity, general health status as a 5-point Likert scale, and high-risk chronic medical condition), days from illness onset to enrollment, site, season, and calendar time (Supplementary Methods). Final absolute VE and rVE models included patient age (as a natural cubic spline), site, season, and calendar time of illness onset, and we also report results from models including all assessed covariates (Supplementary Results). We report product- and age group–specific VE against any symptomatic RT-PCR–confirmed outpatient influenza (type A/B or coinfection), influenza A subtypes H3N2 and H1N1pdm09, and influenza B lineages (Yamagata or Victoria) based on the number of case patients in each comparison.

Statistical significance was defined as VE or rVE estimates with 95% confidence intervals (CIs) that exclude 0% [4, 15, 16]. For influenza type/subtype and age group–specific or product-specific VE comparisons within each model, differences in the VE estimates are considered statistically significant if the 95% CIs do not overlap.

RESULTS

Analytic Dataset

From the 2014–2015 to 2018–2019 seasons, 33 343 of 44 026 patients (76%) were included in analyses. Exclusion are shown in Supplementary Table 3. Of 10 683 patients excluded from IIV4 product-specific analyses, 4862 (46%) had received an IIV3 vaccine and 1318 (12%) had self-reported vaccination only. Of 6 licensed and distributed IIV4 products considered, 4 met analysis criteria for product-specific absolute VE estimation (Supplementary Table 4): 2 IIV4 (egg-based) products were included for 5 seasons, Fluarix Quadrivalent and Fluzone Quadrivalent, and 1 IIV4 and 1 ccIIV4 product were included for 2 seasons (2017–2018 and 2018–2019), FluLaval Quadrivalent and Flucelvax Quadrivalent, respectively.

Absolute VE of Standard-Dose Egg-Based IIV4 Products and Pairwise Product-Specific rVE Comparisons

Over 5 seasons from 2014–2015 through 2018–2019, a total of 3566 vaccinated patients who had received Fluarix IIV4 and 3979 who had received Fluzone IIV4 were included in absolute VE analyses; patient characteristics differed by vaccination status and among influenza case patients versus test-negative controls (Tables 1 and 2 and Supplementary Tables 5 and 6).

Table 1.

Participant Characteristics by Documented Vaccination Status for Fluarix Quadrivalent Egg-Based Inactivated Influenza Vaccinea

Unvaccinated (n = 16 736; 82.4%) Vaccinated With Fluarix4 (n = 3566; 17.6%)


Characteristic No. % No. % P Valueb ORb

Sex
 Female (reference) 9492 56.7 2345 65.8 <.001 ...
 Male 7244 43.3 1221 34.2 0.68
Age groupc <.001
 6 mo to 8 y 3201 19.1 327 9.2 <.001 0.57
 9–17 y 2865 17.1 325 9.1 <.001 0.63
 18–49 y (reference) 7034 42.0 1267 35.5 ... ...
 50–64 y 2660 15.9 980 27.5 <.001 2.05
 ≥65 y 976 5.8 667 18.7 <.001 3.79
Race/ethnicity <.001
 White, non-Hispanic (reference) 11 599 69.3 2603 73.0 ... ...
 Black, non-Hispanic 1846 11.0 199 5.6 <.001 0.48
 Other, non-Hispanic 1566 9.4 428 12.0 <.001 1.22
 Hispanic, any race 1650 9.9 325 9.1 .48 0.88
 Missing race/ethnicity 75 0.4 11 0.3 .49 0.68
Interval from illness onset to enrollment <.001
 ≤2 d (reference) 5784 34.6 977 27.4 ... ...
 3–4 d 6310 37.7 1305 36.6 .25 1.22
 5–7 d 4642 27.7 1284 36.0 <.001 1.64
Season <.001
 2014–2015 3299 19.7 671 18.8 .19 1.12
 2015–2016 2381 14.2 781 21.9 <.001 1.81
 2016–2017 3420 20.4 1138 31.9 <.001 1.83
 2017–2018 (reference) 4055 24.2 737 20.7 ... ...
 2018–2019 3581 21.4 239 6.7 <.001 0.37
Site <.001
 A (reference) 4187 25.0 1921 53.9 ... ...
 B 2828 16.9 43 1.2 <.001 0.03
 C 3465 20.7 833 23.4 <.001 0.52
 D 2400 14.3 502 14.1 <.001 0.46
 E 3856 23.0 267 7.5 <.001 0.15
General health status <.001
 Excellent (reference) 5616 33.6 843 23.6 ... ...
 Very good 6296 37.6 1386 38.9 .04 1.47
 Good 3834 22.9 994 27.9 .002 1.73
 Fair/poor 976 5.8 342 9.6 <.001 2.34
 Missing 14 0.1 1 0.0 .36 0.69
Enrollment calendar time tertiled <.001
 1 5685 34.0 1125 31.5 .005 0.97
 2 (reference) 5774 34.5 1184 33.2 ... ...
 3 5277 31.5 1257 35.2 <.001 1.16
Any chronic high-risk condition
 No (reference) 10 806 64.6 1480 41.5 .03 ...
 Yes 5930 35.4 2086 58.5 1.35
Influenza RT-PCR results <.001
 Negative (reference) 11 278 67.4 2770 77.7 ... ...
 Influenza Ae 4040 24.1 581 16.3 NA NA
  A(H3N2) 2831 70.9 489 86.5 .06 0.71
  A(H1N1) 1164 29.1 76 13.5 <.001 0.28
 Influenza Be 1392 8.3 213 6.0 NA NA
  B Yamagata 1136 83.0 179 84.8 .33 0.63
  B Victoria 232 17.0 32 15.2 <.001 0.58
 Coinfection 26 0.2 2 0.1 NA NA

Abbreviations: Fluarix4, Fluarix Quadrivalent; NA, not applicable; OR, odds ratio; RT-PCR, reverse-transcription polymerase chain reaction.

a

Data from the US Influenza Vaccine Effectiveness (Flu VE) Network, 2014–2015 to 2018–2019.

b

P values were calculated using χ2 or Fisher exact tests for categorical variables. P values <.05 are significant and bolded. ORs were calculated using univariate logistic regression models. Variables with P values <.2 or ORs of ≤0.8 or ≥1.2 across both comparisons of unvaccinated versus vaccinated and influenza case patients versus controls were included in the multivariable regression full vaccine effectiveness model as potential confounders.

c

Fluarix4 was approved for ages ≥3 years from the 2014–2015 to 2017–2018 seasons and for ages ≥6 months for the 2018–2019 season.

d

Calendar time during enrollment was divided in tertiles per site per season.

e

Of influenza A positive specimens, 61 were unsubtypable, and of influenza B positive specimens, 26 were of undetermined lineage.

Table 2.

Participant Characteristics by Documented Vaccination Status for Fluzone Quadrivalent Egg-Based Inactivated Influenza Vaccinea

Unvaccinated (n = 20 904; 84.0%) Vaccinated With Fluzone4 (n = 3979; 16%)


Characteristic No. % No. % P Valueb ORb

Sex
 Female (reference) 11 749 56.2 2351 59.1 .001 ...
 Male 9155 43.8 1628 40.9 0.89
Age groupc <.001
 6 mo to 8 y 5111 24.4 1328 33.4 <.001 2.06
 9–17 y 3511 16.8 490 12.3 <.001 1.11
 18–49 y (reference) 8127 38.9 1025 25.8 ... ...
 50–64 y 3030 14.5 793 19.9 <.001 2.08
 ≥65 y 1125 5.4 343 8.6 <.001 2.42
Race/ethnicity <.001
 White, non-Hispanic (reference) 14 451 69.1 2779 69.8 ... ...
 Black, non-Hispanic 2309 11.0 408 10.3 .19 .92
 Other, non-Hispanic 1877 9.0 441 11.1 <.001 1.22
 Hispanic, any race 2184 10.4 338 8.5 <.001 .81
 Missing race/ethnicity 83 0.4 13 0.3 .62 .84
Interval from illness onset to enrollment .09
 ≤2 d (reference) 7349 35.2 1372 34.5 ... ...
 3–4 d 7917 37.9 1579 39.7 .03 1.07
 5–7 d 5638 27.0 1028 25.8 .15 0.98
Season <.001
 2014–2015 4520 21.6 1101 27.7 <.001 1.81
 2015–2016 3663 17.5 1018 25.6 <.001 2.06
 2016–2017 3673 17.6 747 18.8 .004 1.51
 2017–2018 (reference) 4378 20.9 590 14.8 ... ...
 2018–2019 4670 22.3 523 13.1 <.001 0.83
Site <.001
 A 4333 20.7 541 13.6 <.001 0.40
 B 4572 21.9 227 5.7 <.001 0.16
 C 4841 23.2 612 15.4 <.001 0.41
 D 3032 14.5 1316 33.1 <.001 1.40
 E (reference) 4126 19.7 1283 32.2 ... ...
General health status <.001
 Excellent (reference) 7361 35.2 1467 36.9 ... ...
 Very good 7682 36.7 1387 34.9 .01 0.91
 Good 4655 22.3 863 21.7 .16 0.93
 Fair/poor 1189 5.7 255 6.4 .07 1.08
 Missing general health status 17 0.1 7 0.2 NA NA
Enrollment calendar time tertiled .17
 1 7202 34.5 1355 34.1 .61 1.02
 2 (reference) 7152 34.2 1319 33.1 ... ...
 3 6550 31.3 1305 32.8 .07 1.08
Any chronic high-risk condition
 No (reference) 13 901 66.5 2097 52.7 <.001 ...
 Yes 7003 33.5 1882 47.3 1.78
Influenza RT-PCR results <.001
 Negative (reference) 14 480 69.3 3139 78.9 ... ...
 Influenza Ae 4809 23.0 703 17.7 NA NA
  A(H3N2) 3289 69.4 518 75.1 .06 0.71
  A(H1N1) 1451 30.6 172 24.9 <.001 0.28
 Influenza Be 1584 7.6 134 3.4 NA NA
  B Yamagata 1289 82.8 108 81.8 .33 0.63
  B Victoria 268 17.2 24 18.2 <.001 0.34
 Coinfection 31 0.1 3 0.1 NA NA

Abbreviations: Fluzone4, Fluzone Quadrivalent; NA, not applicable; OR, odds ratio; RT-PCR, reverse-transcription polymerase chain reaction

a

Data from the US Influenza Vaccine Effectiveness (Flu VE) Network, 2014–2015 to 2018–2019.

b

P values were calculated using χ2 or Fisher exact tests for categorical variables. P values <.05 are significant and bolded. ORs were calculated using univariate logistic regression models. Variables with P values <.2 or ORs of ≤0.8 or ≥1.2 across both comparisons of unvaccinated versus vaccinated and influenza case patients versus controls were included in the multivariable regression full vaccine effectiveness model as potential confounders.

c

Fluzone 4 was approved for ages ≥6 months for the 2014–2015 to 2018–2019 seasons.

d

Calendar time during enrollment was divided in tertiles per site per season.

e

Of influenza A positive specimens, 82 were unsubtypable, and of influenza B positive specimens, 29 were of undetermined lineage.

The absolute VE model of Fluarix IIV4 included 16 736 unvaccinated age-eligible patients; 22.3% of Fluarix-vaccinated and 32.6% of unvaccinated patients were influenza case patients (overall positivity, 6254 of 20 302 patients [30.8%]) (Table 1 and Supplementary Table 5). The absolute VE of Fluarix IIV4 against any symptomatic RT-PCR–confirmed influenza was 32% (95% CI: 25%–38%)—16% (6%–25%) against influenza A(H3N2), 56% (43%–66%) against A(H1N1)pdm09, 50% (40%–59%) against B/Yamagata, and 44% (19%–63%) against B/Victoria (Figure 1A and Supplementary Table 7). Significant protection of 30%–38% against influenza was observed for all 3 age groups, with the lowest VE point estimate among adults aged ≥50 years (Figure 2A and Supplementary Table 8).

Figure 1.

Figure 1.

Estimates of product-specific absolute vaccine effectiveness (VE) against any symptomatic reverse-transcription polymerase chain reaction–confirmed outpatient influenza (types A and B and influenza virus coinfections) and by influenza A subtype and B lineage (excluding unsubtypable influenza A, indeterminate-lineage influenza B, and influenza virus coinfections). VE estimates with 95% confidence intervals (CIs) that exclude 0% are statistically significant. A–C, Absolute VE of 3 egg-based quadrivalent inactivated influenza vaccines. A, Absolute VE of Fluarix Quadrivalent for the 2014–2015 to 2018–2019 seasons; the US Food and Drug Administration (FDA)–approved lower age limit for Fluarix was 3 years from 2014–2015 to 2017–2018 and 6 months for 2018–2019. B, Absolute VE of Fluzone Quadrivalent for the 2014–2015 to 2018–2019 seasons; the FDA-approved lower age limit for Fluzone was 6 months during this period. C, Absolute VE of FluLaval Quadrivalent for the 2017–2018 and 2018–2019 seasons; the FDA-approved lower age limit for FluLaval was 6 months for both seasons. D, Absolute VE of Flucelvax Quadrivalent, a cell culture–based inactivated influenza vaccine, for the 2017–2018 and 2018–2019 seasons; the FDA-approved lower age limit for Flucelvax was 4 years for both seasons. Abbreviation: NR, not reported due to small sample size.

Figure 2.

Figure 2.

Estimates of product-specific absolute vaccine effectiveness (VE) against any symptomatic reverse-transcription polymerase chain reaction–confirmed outpatient influenza (types A and B and influenza virus coinfections) among all product- and season-specific age-eligible enrolled patients and among 3 age groups. VE estimates with 95% confidence intervals (CIs) that exclude 0% are statistically significant. A–C, Absolute VE of 3 egg-based quadrivalent inactivated influenza vaccines. A, Absolute VE of Fluarix Quadrivalent from the 2014–2015 to 2018–2019 seasons among all aged ≥6 months and by age group (6 months to 17 years, 18–49 years, and ≥50 years); the US Food and Drug Administration (FDA)–approved lower age limit for Fluarix was 3 years from 2014–2015 to 2017–2018 and 6 months for 2018–2019. B, Absolute VE of Fluzone Quadrivalent from the 2014–2015 to 2018–2019 seasons among all aged ≥6 months and by age group; the FDA-approved lower age limit for Fluzone was 6 months for all 5 seasons. C, Absolute VE of FluLaval Quadrivalent from the 2017–2018 to 2018–2019 seasons among all aged ≥6 months and by age groups (6 months to 17 years, 18–49 years, and ≥50 years); the FDA-approved lower age limit for FluLaval was 6 months for both seasons. D, Absolute VE of Flucelvax Quadrivalent, a cell culture–based inactivated influenza vaccine, from the 2017–2018 to 2018–2019 seasons among all aged ≥4 years and by age group (4–17, 18–49, and ≥50 years); the FDA-approved lower age limit for Flucelvax was 4 years for both seasons.

The absolute VE of Fluzone IIV4 included 20 904 unvaccinated age-eligible patients; 21% of Fluzone-vaccinated and 31% of unvaccinated patients were influenza case patients (overall positivity, 29.2% of 24 883 patients) (Table 2 and Supplementary Table 6). The absolute VE of Fluzone IIV4 against any symptomatic RT-PCR–confirmed influenza was 37% (95% CI: 31%–42%); it was 21% (12%–29%) against influenza A(H3N2), 45% (34%–54%) against A(H1N1)pdm09, 59% (49%–67%) against B/Yamagata, and 68% (52%–80%) against B/Victoria (Figure 1B and Supplementary Table 7). Against any symptomatic influenza, the absolute VE of Fluzone IIV4 by age group was 45% (95% CI: 37%–53%) among patients aged 6 months to 17 years, 34% (23%–45%) among those aged 18–49 years, and 18% (4%–31%) among those aged ≥50 years (Figure 2B and Supplementary Table 8).

Due to the small numbers of enrolled patients receiving FluLaval Quadrivalent IIV4 during the first 3 seasons, the absolute VE and rVE for FluLaval Quadrivalent could be estimated during only 2 influenza seasons (2017–2018 and 2018–2019). A total of 3485 patients had received FluLaval IIV4, allowing estimation of absolute VE compared with 9048 unvaccinated patients enrolled from the same sites. In all, 27.5% of FluLaval-vaccinated and 35.7% of unvaccinated patients were influenza case patients (overall positivity, 4190 of 12 553 [33%]) (Table 3 and Supplementary Table 9). The absolute VE of FluLaval IIV4 against RT-PCR–confirmed influenza was 30% (95% CI: 23%–36%); it was 5% (−7% to 15%) against influenza A(H3N2), 55% (47%–62%) against A(H1N1)pdm09, and 52% (39%–62%) against B/Yamagata (Figure 1C and Supplementary Table 7). VE among the 3 age groups with point estimates of 22%–37% was lowest for adults 18–49 years old and did not differ between the 3 age groups (Figure 2C and Supplementary Table 8).

Table 3.

Participant Characteristics by Documented Vaccination Status for FluLaval Quadrivalent Egg-Based Inactivated Influenza Vaccinea

Unvaccinated (n = 9048; 72.2%) Vaccinated With FluLaval4 (n = 3485; 27.8%)


Characteristic No. % No. % P Valueb ORb

Sex
 Female (reference) 5153 57.0 2100 60.3 .001 ...
 Male 3895 43.1 1385 39.7 0.87
Age groupc <.001
 6 mo to 8 y 2172 24.0 1015 29.1 .09 0.53
 9–17 y 1468 16.2 456 13.1 <.001 0.80
 18–49 y (reference) 3627 40.1 896 25.7 ... ...
 50–64 y 1300 14.4 732 21.0 <.001 0.44
 ≥65 y 481 5.3 386 11.1 <.001 0.31
Race/ethnicity <.001
 White, non-Hispanic (reference) 5924 65.5 2528 72.5 ... ...
 Black, non-Hispanic 1170 12.9 217 6.2 <.001 2.30
 Other, non-Hispanic 864 9.5 334 9.6 .002 1.10
 Hispanic, any race 1051 11.6 389 11.2 .01 1.15
 Missing race/ethnicity 39 0.4 17 0.5 NA NA
Interval from illness onset to enrollment .25
 ≤2 d (reference) 3514 38.8 1333 38.2 ... ...
 3–4 d 3265 36.1 1228 35.2 .29 1.01
 5–7 d 2269 25.1 924 26.5 .10 0.93
Season <.001
 2017–2018 (reference) 4378 48.4 1527 43.8 ... ...
 2018–2019 4670 51.6 1958 56.2 ... 0.83
Site <.001
 A 1776 19.6 698 20.0 .001 1.12
 B (reference) 2018 22.3 890 25.5 ... ...
 C 2349 26.0 808 23.2 .93 1.28
 D 1321 14.6 906 26.0 <.001 0.64
 E 1584 17.5 183 5.3 <.001 3.81
General health status .003
 Excellent (reference) 3111 34.4 1144 32.8 ... ...
 Very good 3340 36.9 1223 35.1 .01 1.00
 Good 2055 22.7 883 25.3 .05 0.86
 Fair/poor 534 5.9 234 6.7 .12 0.84
 Missing general health status 8 0.1 1 0.0 NA NA
Enrollment calendar time tertiled <.001
 1 3150 34.8 1119 32.1 .004 1.06
 2 (reference) 3143 34.7 1180 33.9 ... ...
 3 2755 30.4 1186 34.0 <.001 0.87
Any chronic high-risk condition
 No (reference) 5772 63.8 1663 47.7 <.001 ...
 Yes 3276 36.2 1822 52.3 0.52
Influenza RT-PCR results <.001
 Negative (reference) 5819 64.3 2524 72.4 ... ...
 Influenza Ae 2598 28.7 828 23.8 NA NA
  A(H3N2) 1588 62.0 618 76.1 .06 0.83
  A(H1N1) 972 38.0 194 23.9 <.001 0.49
 Influenza Be 610 6.7 123 3.5 NA NA
  B Yamagata 546 91.5 109 89.3 <.001 0.41
  B Victoria 51 8.5 13 10.7 <.001 0.55
 Coinfection 21 0.2 10 0.3 NA NA

Abbreviations: FluLaval4, FluLaval Quadrivalent; NA, not applicable; OR, odds ratio; RT-PCR, reverse-transcription polymerase chain reaction.

a

Data from the US Influenza Vaccine Effectiveness (Flu VE) Network, 2017–2018 to 2018–2019.

b

P values were calculated using χ2 or Fisher exact tests for categorical variables. P values <.05 are significant and bolded. ORs were calculated using univariate logistic regression models. Variables with P values <.2 or ORs of ≤0.8 or ≥1.2 across both comparisons of unvaccinated versus vaccinated and influenza case patients versus controls were included in the multivariable regression full vaccine effectiveness model as potential confounders.

c

FluLaval4 was approved for ages ≥6 months during the 2017–2018 and 2018–2019 seasons.

d

Calendar time during enrollment was divided in tertiles per site per season.

e

Of influenza A positive specimens, 54 were unsubtypable, and of influenza B positive specimens, 14 were of undetermined lineage.

During 2 seasons from 2017–2019 and 3 from 2017–2020 when 3 IIV4 and 1 ccIIV4 products had been received by sufficient numbers of enrolled patients, pairwise rVE comparisons indicated no significant differences in ccIIV4/IIV4 product-specific protection, with wide and overlapping CIs for each comparison (Supplementary Tables 10 and 11 and Figure 3A and 3B).

Figure 3.

Figure 3.

Relative vaccine effectiveness (rVE) of cell culture–based and egg-based quadrivalent inactivated influenza vaccine (ccIIV4 and IIV4, respectively) products against any symptomatic reverse-transcription polymerase chain reaction–confirmed outpatient influenza (types A and B and influenza virus coinfections), showing pairwise comparisons of rVE among participants aged ≥4 years for 2 seasons, 2017–2018 and 2018–2019 (A) and ad hoc analysis during 3 seasons, from 2017–2018 to 2019–2020 (B). The ccIIV product was Flucelvax Quadrivalent (Flucelvax4), and the egg-based products (IIV4) included Fluarix Quadrivalent (Fluarix4), FluLaval Quadrivalent (FluLaval4), and Fluzone Quadrivalent (Fluzone4). rVE estimates with 95% confidence intervals (CIs) that exclude 0% are statistically significant.

Absolute VE of Standard-Dose Cell Culture–Based ccIIV4, and rVE of ccIIV4 Versus Aggregated Standard-Dose Egg-Based IIV4 Products

During 2 seasons (2017–2018 and 2018–2019), 799 vaccinated patients aged ≥4 years had received Flucelvax Quadrivalent ccIIV4, allowing estimation of absolute VE compared with 6469 unvaccinated patients enrolled from the same sites and seasons, as well as rVE against 4812 patients who had received IIV4 products (Fluarix in 951, Fluzone in 935, and FluLaval in 2926). In all, 28% of Flucelvax-vaccinated and 39% of unvaccinated patients were influenza case patients (overall positivity, 2765 of 7268 [38%]) (Table 4 and Supplementary Tables 10 and 12). The absolute VE of Flucelvax ccIIV4 against RT-PCR–confirmed influenza was 30% (95% CI: 16%–42%); it was 14% (−9% to 32%) against influenza A(H3N2), 33% (14%–48%) against A(H1N1)pdm09, and 60% (16%–84%) against B/Yamagata (Figure 1D and Supplementary Table 7). Against any symptomatic influenza, the absolute VE of Flucelvax ccIIV4 by age group was 36% (95% CI: 13%–52%) among patients aged 4–17 years, 36% (12%–55%) among those aged 18–49 years, and 24% (−6% to 46%) among those aged ≥50 years (Figure 2D and Supplementary Table 8).

Table 4.

Participant Characteristics by Documented Vaccination Status for Flucelvax Quadrivalent Cell Culture–Based Inactivated Influenza Vaccinea

Unvaccinated (n = 6469) Vaccinated With Flucelvax4 (n = 799)


Characteristic No. % No. % P Valueb ORb

Sex
 Female (reference) 3723 57.6 487 61.0 .07 ...
 Male 2746 42.5 312 39.1 1.15
Age groupc <.001
 4–8 y 1058 16.4 126 15.8 .02 1.46
 9–17 y 1148 17.8 133 16.6 .006 1.42
 18–49 y (reference) 2823 43.6 231 28.9 ... ...
 50–64 y 1050 16.2 185 23.2 .007 2.15
 ≥65 y 390 6.0 124 15.5 <.001 3.89
Race/ethnicity <.001
 White, non-Hispanic (reference) 4446 68.7 686 85.9 ... ...
 Black, non-Hispanic 812 12.6 18 2.3 <.001 0.15
 Other, non-Hispanic 581 9.0 46 5.8 .23 0.52
 Hispanic, any race 595 9.2 45 5.6 .39 0.50
 Missing race/ethnicity 35 0.5 4 0.5 NA NA
Interval from illness onset to enrollment <.001
 ≤2 d (reference) 2491 38.5 296 37.0 ... ...
 3–4 d 2343 36.2 293 36.7 .88 1.05
 5–7 d 1635 25.3 210 26.3 .54 1.08
Season <.001
 2017–2018 (reference) 3244 50.1 80 10.0 ... ...
 2018–2019 3225 49.9 719 90.0 <.001 8.99
Site <.001
 A 1013 15.7 43 5.4 .008 0.13
 B (reference) 1795 27.7 604 75.6 ... ...
 C 1117 17.3 27 3.4 <.001 0.07
 D 1190 18.4 60 7.5 .11 0.15
 E 1354 20.9 65 8.1 .04 0.14
General health status <.001
 Excellent (reference) 2119 32.8 245 30.7 ... ...
 Very good 2402 37.2 311 38.9 .67 1.12
 Good 1519 23.5 185 23.2 .64 1.05
 Fair/poor 422 6.5 58 7.3 .40 1.20
 Missing general health status 7 .1 0 .0 NA NA
Enrollment calendar time tertiled <.001
 1 2165 33.5 239 29.9 .04 0.94
 2 (reference) 2300 35.6 269 33.7 ... ...
 3 2004 31.0 291 36.4 .002 1.24
Any chronic high-risk condition
 No (reference) 3940 60.9 360 45.1 <.001 ...
 Yes 2529 39.1 439 54.9 1.90
Influenza RT-PCR results <.001
 Negative (reference) 3927 60.7 576 72.1 ... ...
 Influenza Ae 2091 32.3 216 27.0 NA NA
  A(H3N2) 1287 61.5 111 51.4 .26 0.60
  A(H1N1) 787 37.6 105 48.6 .01 0.91
 Influenza Be 434 6.7 7 0.9 NA NA
  B Yamagata 391 90.0 6 85.7 .003 0.11
  B Victoria 32 7.4 0 0.0 <.001 0.15
 Coinfection 17 0.3 0 0.0 NA NA

Abbreviations: Flucelvax4, Flucelvax Quadrivalent; NA, not applicable; OR, odds ratio; RT-PCR, reverse-transcription polymerase chain reaction.

a

Data from US Influenza Vaccine Effectiveness (VE) Network, 2017–2018 to 2018–2019.

b

P values were calculated using χ2 or Fisher exact tests for categorical variables. P values <.05 are significant and bolded. ORs were calculated using univariate logistic regression models. Variables with P values <.2 or ORs of ≤0.8 or ≥1.2 across both comparisons of unvaccinated versus vaccinated and influenza case patients versus controls were included in the multivariable regression full vaccine effectiveness model as potential confounders.

c

Flucelvax4 was approved for ages ≥4 years during the 2017–2018 and 2018–2019 seasons.

d

Calendar time during enrollment was divided in tertiles per site per season.

e

Of influenza A positive specimens, 17 were unsubtypable, and of influenza B positive specimens, 12 were of undetermined lineage.

The rVE comparing Flucelvax ccIIV4 with all 3 IIV4 products combined during 2017–2019 was 15% (95% CI: −5% to 31%) (Figure 4A and Supplementary Table 13). In an ad hoc analysis over 3 influenza seasons including 2019–2020, the rVE of ccIIV4 versus all 3 IIV4 combined was −9% (95% CI: −28% to 8%) (Figure 4B and Supplementary Table 13). Sensitivity analyses limited to cell culture–based antigens included in the ccIIV4 each season showed a significant rVE of 32% favoring ccIIV4 for the 2-season comparison and a rVE of −3% showing no difference for the 3-season comparison (Supplementary Tables 14 and 15). Absolute VE point estimates between the simple and full models including adjustment for all covariates were <10% different for each of the 4 influenza vaccine products (Supplementary Tables 7 and 8).

Figure 4.

Figure 4.

Relative vaccine effectiveness (rVE) of 1 cell culture–based versus 3 aggregated egg-based quadrivalent inactivated influenza vaccine product (ccIIV4 and IIV4, respectively) against any symptomatic reverse-transcription polymerase chain reaction–confirmed outpatient influenza (types A and B and influenza virus coinfections), among participants aged ≥4 years for 2 seasons from (2017–2018 and 2018–2019) (A) and in an ad hoc analysis during 3 seasons (2017–2018 to 2019–2020) (B). The ccIIV4 product was Flucelvax Quadrivalent, and the IIV4 products included Fluarix Quadrivalent, FluLaval Quadrivalent, and Fluzone Quadrivalent. rVE estimates with 95% confidence intervals (CIs) that exclude 0% are statistically significant.

DISCUSSION

In these multiseason analyses of the US Flu VE Network study, influenza vaccination provided absolute protection against symptomatic RT-PCR–confirmed outpatient influenza infection across quadrivalent inactivated products. In most seasons, vaccination provided protection against influenza A and B, although protection tended to be lower against A(H3N2). Product-specific comparisons showed nonsignificant rVE for each comparison. These findings support Advisory Committee of Immunization Practices recommendations that all persons aged ≥6 months to 64 years without contraindications should receive annual influenza vaccination, without preference for any vaccine product when ≥1 age-appropriate product is available [1].

Using separate VE models for each comparison, we found statistically significant product-specific absolute VE against any influenza among patients for whom the products were licensed and recommended. The absolute VE for 2 standard-dose inactivated vaccines (Fluarix Quadrivalent and Fluzone Quadrivalent) ranged from 32% to 37% over 5 influenza seasons from 2014–2019, similar to the absolute VE of 30% for 2 other inactivated vaccines analyzed during the 2 seasons from 2017–2019 (Flucelvax Quadrivalent and FluLaval Quadrivalent). During the same 5 seasons, US Flu VE Network VE estimates against symptomatic laboratory-confirmed outpatient influenza were similar, ranging from 19% to 48%, and from 29% to 38% during the last 2 seasons [9]. Overall estimates, including both documented and patient-reported influenza vaccination, were not different than the product-specific estimates restricted to documented doses of age-appropriate vaccines.

Our findings of nonsignificant rVE of quadrivalent cell culture–based versus egg-based vaccines against laboratory-confirmed outpatient influenza were consistent with a recent meta-analysis [17]. Pooled analysis of cell culture–based versus egg-based vaccine including 5 test-negative design studies in outpatient and inpatient settings showed a nonsignificant rVE of 5% (95% CI: −6% to 16%) against influenza [17]. In this meta-analysis, rVE differed by study design; for 10 cohort design studies that depended on clinical diagnosis codes during the same 3 seasons from 2017–2020, rVE against influenza was 8.5% (95% CI: 6.5%–10.4%), favoring cell culture–based vaccine. During the 2017–2018 season, a large retrospective cohort study reported a nonsignificant rVE of 8% (95% CI: −10% to 23%) against PCR-confirmed influenza A, comparing ccIIV4 versus mostly IIV3 among persons aged 4–64 years [18].

During the 2017–2018 season, only the A(H3N2) strain in Flucelvax ccIIV4 was isolated in cell culture and not egg passaged, while cell culture–derived influenza B vaccine strains were added the following season, and cell-culture derived A(H1N1)pdm09 vaccine strains during 2019–2020 [1921]. During the 2017–2018 season, the A(H3N2) vaccine strain acquired egg-adapted mutations during production that resulted in suboptimal antigenic match with circulating A(H3N2) viruses. In addition, amino acid deletion in the B/Victoria vaccine strain resulted in antigenic mismatch with predominant B virus lineage that season (Supplementary Table 1) [22]. During the 2018–2019 season, the A(H3N2) vaccine strain was again mismatched due to antigenic drift in circulating A(H3N2) viruses [23]. A suboptimal antigenic match due to egg adaptations in vaccine strains may result in higher effectiveness of ccIIV4, such as during the 2017–2018 season [14, 17], whereas a natural antigenic drift unrelated to egg adaptation, causing a vaccine mismatch with circulating viruses, may lower VE regardless of vaccine virus production in avian eggs or mammalian cells.

When we added a third season, 2019–2020, during which antigenically drifted A(H1N1)pdm09 and B Victoria viruses cocirculated with the latter also having egg-adapted changes, the rVE of ccIIV4 versus IIV4 was not statistically significant [24]. All 4 ccIIV4/IIV4 products had lowest VE against influenza A(H3N2), with significant point estimates of 16%–21% for the 2 products analyzed during the 5 seasons and nonsignificant point estimates of 5%–14% for the 2 products analyzed during the last 2 seasons (Supplementary Table 7). Multiple factors in virus evolution, host immunity, and vaccine technology contribute to low VE against A(H3N2) [25, 26]. A recent meta-analysis of community-based test-negative design studies from the 2010–2011 to 2018–2019 seasons with multiple mismatches, including 15 studies from North America, reported a slightly higher pooled VE of 29% (95% CI: 20%–36%) against A(H3N2) among all eligible age groups for all vaccine types [27]. The pooled VE against A(H3N2) for the 38 northern hemisphere studies was nonsignificant when vaccine strains were dissimilar to circulating strains.

In several product-specific estimates, the lowest VE point estimates against influenza were observed among adults aged ≥50 years, from 18% to 30%, however, the Flucelvax ccIIV4 VE of 24% was nonsignificant and less precise for this age group. FluLaval Quadrivalent, analyzed during the last 2 seasons, had similar but significant VE point estimates of 24% for adults aged ≥50 years and 22% for those aged 18–49-years. Similar to our findings, Okoli et al [27] reported pooled VE point estimates decreasing with age and lowest among patients aged ≥65 years in the meta-analysis of northern hemisphere studies.

Products of similar formulations from the same vaccine manufacturer may be distributed in the United States and Europe under different brand names (eg, Fluzone and VaxiGrip) or the same names (eg, Fluarix or FluLaval). Similar products undergo different approval processes including quality control and batch release per US FDA or European Medical Agency regulations and guidance [3, 28]. The Development of Robust and Innovative Vaccine Effectiveness (DRIVE) consortium, a public-private partnership in Europe, reported limited sets of brand-specific single-season VE estimates for the 2018–2019 and 2019–2020 seasons [29, 30]. Most reports of relative/comparative effectiveness are for high-dose, adjuvanted, or recombinant vaccines, now preferentially recommended in people aged ≥65 years [3136]; however, we did not include these products, by study design or because of low sample size. Our study contributes to the evidence base of standard-dose, inactivated product-specific absolute VE and rVE against influenza among outpatients of all ages for regulatory and public health purposes in the United States.

Strengths of our multiseason network study include large sample sizes for absolute VE estimates for the documented influenza vaccine products and our ability to report the rVE of cell culture–based and egg-based vaccines over 2–3 seasons. Nonetheless, our study has several limitations. We had to limit our analysis to standard-dose products because the medium-dose product, Flublok Quadrivalent (recombinant influenza vaccine) did not meet prespecified criteria for analysis. We collapsed the oldest age group to ≥50 years because high-dose and adjuvanted influenza vaccines recommended as an option for adults aged ≥65 years during the 2014–2019 seasons were excluded. Some of the subgroup analyses including product-specific absolute VE and rVE had smaller sample sizes, resulting in lower precision. We were not able to estimate the rVE of cell culture–based versus egg-based product against influenza A subtypes or B lineages or by each season or age group. Misclassification of vaccination status may occur despite robust vaccination verification efforts at each site; including some vaccinated people in the unvaccinated group could underestimate VE, but we reduced misclassification by excluding participants with self/parent/guardian-reported vaccinations only. Even though we built our models to adjust for multiple confounders, we cannot rule out residual unmeasured confounding.

In summary, we found that each of 4 standard-dose ccIIV4 or IIV4 products analyzed during 2–5 seasons from 2014–2018 conferred significant absolute protection against symptomatic RT-PCR–confirmed outpatient influenza types A and B, supporting the current recommendation [1] that immunization providers should vaccinate with an available approved product rather than wait on a specific product if there are no contraindications. There was no significant relative effectiveness advantage of one standard-dose inactivated vaccine product/brand over another against any outpatient influenza, including in comparisons of cell culture–based versus egg-based products. Continued comparisons of relative effectiveness across influenza vaccine types and products/brands are needed to inform decisions related to purchasing of vaccine by immunization providers and to optimize potential preferential recommendations or choices for individual vaccine recipients.

Supplementary Material

Supplementary material

Supplementary Data

Supplementary materials are available at Clinical Infectious Diseases online. Consisting of data provided by the authors to benefit the reader, the posted materials are not copyedited and are the sole responsibility of the authors, so questions or comments should be addressed to the corresponding author.

Acknowledgments.

The US Influenza Vaccine Effectiveness (VE) Network acknowledges the influenza vaccine manufacturers for providing lot numbers for influenza vaccine products distributed in the United States. Flu VE and Research/Departmental Administrative Teams at Baylor Scott & White Health: Anupama Vasudevan, Lydia Clipper, Anne Robertson, Teresa O’Quinn, Spencer Rose, Amanda McKillop, Eric Hoffman, Martha Zayed, Vanessa Hoelscher, Natalie Settele, Dedra Preece, Kayan Dunnigan, Jason Ettlinger, Wencong Chen, Mufaddal Mamawala, Courtney Shaver, Monica Bennett, Elisa Priest, Jennifer Thomas, Jeremy Ray, Muralidhar Jatla, and Alejandro Arroliga; Marshfield Clinic Research Institute: Edward A. Belongia, Elizabeth Armagost, Deanna Cole, Terry J. Foss, Klevi Hoxha, Dyan Friemoth, Katherine Graebel-Khandakani, Linda Heeren, Tami Johnson, Tara Johnson, Nicole Kaiser, Diane Kohnhorst, Sarah Kopitzke, Ariel Marcoe, Karen McGreevey, Madalyn Minervini, Vicki Moon, Suellyn Murray, Jillette Peterson, Rebecca Pilsner, DeeAnn Polacek, Emily Redmond, Miriah Rotar, Carla Rottscheit, Samantha Smith, Jackie Salzwedel, Sandra Strey, Tammy Koepel, Nan Pan, Annie Steinmetz, Gregg Greenwald, Jane Wesely, Jennifer Anderson, Laurel Verhagen, Center for Clinical Epidemiology & Population Health staff, and Integrated Research & Development Laboratory staff; Kaiser Permanente Washington Health Research Institute: Stacie Wellwood, Lawrence Madziwa, Matthew Nguyen, Suzie Park, Julia Anderson, Brianna Wickersham, Rachael Doud, Michael Jackson, and Lisa Jackson; University of Pittsburgh and UPMC: Rose Azrak, Arlene Bullotta, Jonathan Steele, Donald S. Burke, MD, Samantha Ford, Edward Garafolo, MD, Philip Iozzi, MD, Monika Johnson, Sean Saul, Leonard Urbanski, MD, Stephen Wisniewski, PhD, and Bret Rosenblum, MD; University of Michigan School of Public Health: Richard Evans, Anne Kaniclides, Joey Lundgren, Erika Chick, Lindsey Benisatto, Tosca Le, and Dexter Hobdy; Henry Ford Health: Lois Lamerato, Heather R. Lipkovich, Nishat Islam, Michelle Groesbeck, Shirley Zhang, Andrea Lee, Kristyn Brundidge, Christina Rincon, Stephanie Haralson, Jennifer Hessen, and Ahn Trinh; and Centers for Disease Control and Prevention: Manish Patel, Swathi Thaker, and Mark Thompson.

Financial support.

This work was supported by the US Centers for Disease Control and Prevention through cooperative agreements with Baylor Scott & White Research Institute (grants U01 IP000473 and U01 IP001039), Marshfield Clinic Research Institute (grants U01 IP000471 and U01 IP001038), Kaiser Permanente Washington Health Research Institute (grants U01 IP000466 and U01 IP001037), the University of Pittsburgh (grants U01 IP000467 and U01 IP001035), and the University of Michigan (U01 IP000474 and U01 IP001034). Infrastructure at the University of Pittsburgh was supported by the National Institutes of Health (grants UL1 TR000005, UL1 RR024153, and UL1 TR001857).

Footnotes

Potential conflicts of interest. M. G., E. T. M., A. S. M., R. K. Z., M. P. N., E. K., C. H. P., H. Q. N., report institutional cooperative agreement grant funding from the Centers for Disease Control and Prevention (CDC), and R. K. Z. and M. P. N. report institutional funding from the National Institutes of Health. M. G. reports support from CDC–Vanderbilt University Medical Center, CDC-Westat, and CDC-Abt Associates for other studies and a speaker panel honorarium from the Texas Pediatric Society, sponsored by the American Academy of Pediatrics and CDC Project Firstline. A. S. M. reports institutional funding from the National Institute of Allergy and Infectious Diseases for other studies. R. K. Z. reports institutional funds from Sanofi Pasteur for other studies. M. P. N. reports institutional funding from Astra Zeneca, Sanofi, and Merck Sharp & Dohme for other studies and consulting fees from GSK and Merck. H. Q. N. reports institutional funding for other unrelated studies from GSK, Moderna, and Seqirus and participation on a scientific advisory board for Seqirus and Moderna. J. P. K. reports institutional research support from GSK and Moderna for other studies. All other authors report no potential conflicts. Conflicts that the editors consider relevant to the content of the manuscript have been disclosed.

All authors have submitted the ICMJE Form for Disclosure of Potential Conflicts of Interest.

Disclaimer. The findings and conclusions in this report are those of the authors and do not necessarily represent the official position of the Centers for Disease Control and Prevention (CDC). CDC staff assisted in the design and conduct of the study; the collection, management, analysis, and interpretation of the data; the preparation, review and approval of the manuscript; and the decision to submit for publication.

References

  • 1.Grohskopf LA, Ferdinands JM, Blanton LH, Broder KR, Loehr J. Prevention and control of seasonal influenza with vaccines: recommendations of the advisory committee on immunization practices—United States, 2024–25 influenza season. MMWR Recomm Rep 2024; 73:1–25. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 2.US Food and Drug Administration. Seasonal information for influenza virus vaccine. Available at: https://www.fda.gov/vaccines-blood-biologics/lot-release/seasonal-information-influenza-virus-vaccine. Accessed 22 July 2025.
  • 3.US Food and Drug Administration. FDA’s critical role in ensuring safe and effective flu vaccines. Available at: https://www.fda.gov/consumers/consumer-updates/fdas-critical-role-ensuring-safe-and-effective-flu-vaccines. Accessed 10 March 2025.
  • 4.Gaglani M, Pruszynski J, Murthy K, et al. Influenza vaccine effectiveness against 2009 pandemic influenza A(H1N1) virus differed by vaccine type during 2013–2014 in the United States. J Infect Dis 2016; 213:1546–56. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 5.Balasubramani GK, Choi WS, Nowalk MP, et al. Relative effectiveness of high dose versus standard dose influenza vaccines in older adult outpatients over four seasons, 2015–16 to 2018–19. Vaccine 2020; 38:6562–9. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 6.DePasse JV, Smith KJ, Raviotta JM, et al. Does choice of influenza vaccine type change disease burden and cost-effectiveness in the United States? An agent-based modeling study. Am J Epidemiol 2017; 185:822–31. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 7.Centers for Disease Control and Prevention. Influenza vaccination coverage and intent for vaccination, adults 18 years and older, United States. Available at: https://www.cdc.gov/fluvaxview/dashboard/adult-coverage.html. Accessed 22 July 2025.
  • 8.Centers for Disease Control and Prevention. US Flu VE Network. Available at: https://www.cdc.gov/flu-vaccines-work/php/vaccine-effectiveness/us-flu-ve-network.html?CDC_AAref_Val=. Accessed 10 March 2025.
  • 9.Centers for Disease Control and Prevention. CDC seasonal flu vaccine effectiveness studies. Available at: https://www.cdc.gov/flu-vaccines-work/php/effectiveness-studies/index.html. Accessed 10 March 2025.
  • 10.Hood N, Flannery B, Gaglani M, et al. Influenza vaccine effectiveness among children: 2011–2020. Pediatrics 2023; 151:e2022059922. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 11.Gaglani M, Vasudevan A, Raiyani C, et al. Effectiveness of trivalent and quadrivalent inactivated vaccines against influenza B in the United States, 2011–2012 to 2016–2017. Clin Infect Dis 2021; 72:1147–57. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 12.Jackson ML, Chung JR, Jackson LA, et al. Influenza vaccine effectiveness in the United States during the 2015–2016 season. N Engl J Med 2017; 377:534–43. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 13.Chung JR, Flannery B, Kim SS, et al. Sample size considerations for mid-season estimates from a large influenza vaccine effectiveness network in the United States. Vaccine 2021; 39:3324–8. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 14.Stein AN, Mills CW, McGovern I, et al. Relative vaccine effectiveness of cell- vs egg-based quadrivalent influenza vaccine against test-confirmed influenza over 3 seasons between 2017 and 2020 in the United States. Open Forum Infect Dis 2024; 11:ofae175. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 15.McLean HQ, Thompson MG, Sundaram ME, et al. Influenza vaccine effectiveness in the United States during 2012–2013: variable protection by age and virus type. J Infect Dis 2015; 211:1529–40. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 16.Frutos AM, Cleary S, Reeves EL, et al. Interim estimates of 2024–2025 seasonal influenza vaccine effectiveness—four vaccine effectiveness networks, United States, October 2024-February 2025. MMWR Morb Mortal Wkly Rep 2025; 74:83–90. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 17.Coleman BL, Gutmanis I, McGovern I, Haag M. Effectiveness of cell-based quadrivalent seasonal influenza vaccine: a systematic review and meta-analysis. Vaccines (Basel) 2023; 11:1607. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 18.Klein NP, Fireman B, Goddard K, et al. Vaccine effectiveness of cell-culture relative to egg-based inactivated influenza vaccine during the 2017–18 influenza season. PLoS One 2020; 15:e0229279. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 19.Centers for Disease Control and Prevention. Cell-based flu vaccines. Available at: https://www.cdc.gov/flu/vaccine-types/cell-based.html. Accessed 10 March 2025.
  • 20.Sequirus. Seqirus announces further advances in cell-based influenza vaccine technology. Available at: https://www.prnewswire.com/news-releases/seqirus-announces-further-advances-in-cell-based-influenza-vaccine-technology-300831979.html. Accessed 10 March 2025.
  • 21.World Health Organization. Global Influenza Programme. Available at: https://www.who.int/teams/global-influenza-programme/vaccines/who-recommendations/candidate-vaccine-viruses. Accessed 10 March 2025.
  • 22.Garten R, Blanton L, Elal AIA, et al. Update: influenza activity in the United States during the 2017–18 season and composition of the 2018–19 influenza vaccine. MMWR Morb Mortal Wkly Rep 2018; 67:634–42. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 23.Flannery B, Kondor RJG, Chung JR, et al. Spread of antigenically drifted influenza A(H3N2) viruses and vaccine effectiveness in the United States during the 2018–2019 season. J Infect Dis 2020; 221:8–15. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 24.Tenforde MW, Kondor RJG, Chung JR, et al. Effect of antigenic drift on influenza vaccine effectiveness in the United States-2019–2020. Clin Infect Dis 2021; 73:e4244–e4250. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 25.Belongia EA, Simpson MD, King JP, et al. Variable influenza vaccine effectiveness by subtype: a systematic review and meta-analysis of test-negative design studies. Lancet Infect Dis 2016; 16:942–51. [DOI] [PubMed] [Google Scholar]
  • 26.Belongia EA, McLean HQ. Influenza vaccine effectiveness: defining the H3N2 problem. Clin Infect Dis 2019; 69:1817–23. [DOI] [PubMed] [Google Scholar]
  • 27.Okoli GN, Racovitan F, Abdulwahid T, Righolt CH, Mahmud SM. Variable seasonal influenza vaccine effectiveness across geographical regions, age groups and levels of vaccine antigenic similarity with circulating virus strains: a systematic review and meta-analysis of the evidence from test-negative design studies after the 2009/10 influenza pandemic. Vaccine 2021; 39:1225–40. [DOI] [PubMed] [Google Scholar]
  • 28.European Medicines Agency. Influenza vaccines—submission and procedural requirements—scientific guideline. Available at: https://www.ema.europa.eu/en/influenza-vaccines-submission-procedural-requirements-scientific-guideline. Accessed 10 March 2025.
  • 29.Stuurman AL, Biccler J, Carmona A, et al. Brand-specific influenza vaccine effectiveness estimates during 2019/20 season in Europe—results from the DRIVE EU study platform. Vaccine 2021; 39:3964–73. [DOI] [PubMed] [Google Scholar]
  • 30.Stuurman AL, Bollaerts K, Alexandridou M, et al. Vaccine effectiveness against laboratory-confirmed influenza in Europe—results from the DRIVE network during season 2018/19. Vaccine 2020; 38:6455–63. [DOI] [PubMed] [Google Scholar]
  • 31.Izurieta HS, Chillarige Y, Kelman J, et al. Relative effectiveness of cell-cultured and egg-based influenza vaccines among elderly persons in the United States, 2017–2018. J Infect Dis 2019; 220:1255–64. [DOI] [PubMed] [Google Scholar]
  • 32.Izurieta HS, Chillarige Y, Kelman J, et al. Relative effectiveness of influenza vaccines among the United States elderly, 2018–2019. J Infect Dis 2020; 222:278–87. [DOI] [PubMed] [Google Scholar]
  • 33.Izurieta HS, Lu M, Kelman J, et al. Comparative effectiveness of influenza vaccines among US Medicare beneficiaries ages 65 years and older during the 2019–2020 season. Clin Infect Dis 2021; 73:e4251–9. [DOI] [PubMed] [Google Scholar]
  • 34.Boikos C, Fischer L, O’Brien D, Vasey J, Sylvester GC, Mansi JA. Relative effectiveness of adjuvanted trivalent inactivated influenza vaccine versus egg-derived quadrivalent inactivated influenza vaccines and high-dose trivalent influenza vaccine in preventing influenza-related medical encounters in US adults ≥65 years during the 2017–2018 and 2018–2019 influenza seasons. Clin Infect Dis 2021; 73:816–23. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 35.Boikos C, Fischer L, O’Brien D, Vasey J, Sylvester GC, Mansi JA. Relative effectiveness of the cell-derived inactivated quadrivalent influenza vaccine versus egg-derived inactivated quadrivalent influenza vaccines in preventing influenza-related medical encounters during the 2018–2019 influenza season in the United States. Clin Infect Dis 2021; 73:e692–8. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 36.Imran M, Puig-Barbera J, Ortiz JR, et al. Relative effectiveness of MF59 adjuvanted trivalent influenza vaccine vs nonadjuvanted vaccines during the 2019–2020 influenza season. Open Forum Infect Dis 2022; 9:ofac167. [DOI] [PMC free article] [PubMed] [Google Scholar]

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