<!DOCTYPE article
PUBLIC "-//NLM//DTD JATS (Z39.96) Journal Archiving and Interchange DTD with MathML3 v1.3 20210610//EN" "JATS-archivearticle1-3-mathml3.dtd">
<article xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink" dtd-version="1.3" xml:lang="en" article-type="research-article"><?properties manuscript?><processing-meta base-tagset="archiving" mathml-version="3.0" table-model="xhtml" tagset-family="jats"><restricted-by>pmc</restricted-by></processing-meta><front><journal-meta><journal-id journal-id-type="nlm-journal-id">8406899</journal-id><journal-id journal-id-type="pubmed-jr-id">7945</journal-id><journal-id journal-id-type="nlm-ta">Vaccine</journal-id><journal-id journal-id-type="iso-abbrev">Vaccine</journal-id><journal-title-group><journal-title>Vaccine</journal-title></journal-title-group><issn pub-type="ppub">0264-410X</issn><issn pub-type="epub">1873-2518</issn></journal-meta><article-meta><article-id pub-id-type="pmid">34952751</article-id><article-id pub-id-type="pmc">8803136</article-id><article-id pub-id-type="doi">10.1016/j.vaccine.2021.12.034</article-id><article-id pub-id-type="manuscript">HHSPA1766487</article-id><article-categories><subj-group subj-group-type="heading"><subject>Article</subject></subj-group></article-categories><title-group><article-title>A randomized controlled trial of antibody response to 2019&#x02013;20
cell-based inactivated and egg-based live attenuated influenza vaccines in
children and young adults</article-title></title-group><contrib-group><contrib contrib-type="author"><name><surname>Williams</surname><given-names>Katherine V.</given-names></name><xref rid="A1" ref-type="aff">a</xref></contrib><contrib contrib-type="author"><name><surname>Zhai</surname><given-names>Bo</given-names></name><xref rid="A2" ref-type="aff">b</xref></contrib><contrib contrib-type="author"><name><surname>Alcorn</surname><given-names>John F.</given-names></name><xref rid="A2" ref-type="aff">b</xref><xref rid="A3" ref-type="aff">c</xref></contrib><contrib contrib-type="author"><name><surname>Patricia Nowalk</surname><given-names>Mary</given-names></name><xref rid="A1" ref-type="aff">a</xref></contrib><contrib contrib-type="author"><name><surname>Levine</surname><given-names>Min Z.</given-names></name><xref rid="A4" ref-type="aff">d</xref></contrib><contrib contrib-type="author"><name><surname>Kim</surname><given-names>Sara S.</given-names></name><xref rid="A4" ref-type="aff">d</xref></contrib><contrib contrib-type="author"><name><surname>Flannery</surname><given-names>Brendan</given-names></name><xref rid="A4" ref-type="aff">d</xref></contrib><contrib contrib-type="author"><name><surname>Moehling Geffel</surname><given-names>Krissy</given-names></name><xref rid="A1" ref-type="aff">a</xref></contrib><contrib contrib-type="author"><name><surname>Jaber Merranko</surname><given-names>Amanda</given-names></name><xref rid="A5" ref-type="aff">e</xref></contrib><contrib contrib-type="author"><name><surname>Nagg</surname><given-names>Jennifer P.</given-names></name><xref rid="A3" ref-type="aff">c</xref></contrib><contrib contrib-type="author"><name><surname>Collins</surname><given-names>Mark</given-names></name><xref rid="A1" ref-type="aff">a</xref></contrib><contrib contrib-type="author"><name><surname>Susick</surname><given-names>Michael</given-names></name><xref rid="A1" ref-type="aff">a</xref></contrib><contrib contrib-type="author"><name><surname>Clarke</surname><given-names>Karen S.</given-names></name><xref rid="A1" ref-type="aff">a</xref></contrib><contrib contrib-type="author"><name><surname>Zimmerman</surname><given-names>Richard K.</given-names></name><xref rid="A1" ref-type="aff">a</xref></contrib><contrib contrib-type="author"><name><surname>Martin</surname><given-names>Judith M.</given-names></name><xref rid="A3" ref-type="aff">c</xref><xref rid="CR1" ref-type="corresp">*</xref></contrib></contrib-group><aff id="A1"><label>a</label>Department of Family Medicine, University of Pittsburgh,
4420 Bayard Street, Suite 520, Pittsburgh, PA 15260, USA</aff><aff id="A2"><label>b</label>Department of Immunology, University of Pittsburgh, 9127
Rangos Research Center, 4401 Penn Avenue, Pittsburgh, PA 15224 USA</aff><aff id="A3"><label>c</label>Department of Pediatrics, University of Pittsburgh, 3520
Fifth Avenue, Pittsburgh, PA 15213, USA</aff><aff id="A4"><label>d</label>National Center Immunizations and Respiratory Disease,
Center for Disease Control and Prevention, Atlanta, GA, USA</aff><aff id="A5"><label>e</label>Falk Pharmacy, University of Pittsburgh Medical Center
(UPMC), 3601 Fifth Avenue, Pittsburgh, PA 15213, USA</aff><author-notes><corresp id="CR1"><label>*</label>Corresponding author at: Department of Pediatrics,
University of Pittsburgh, 3520 Fifth Avenue, Pittsburgh, PA 15213, USA.
<email>martinju@pitt.edu</email> (J.M. Martin).</corresp></author-notes><pub-date pub-type="nihms-submitted"><day>25</day><month>12</month><year>2021</year></pub-date><pub-date pub-type="ppub"><day>31</day><month>1</month><year>2022</year></pub-date><pub-date pub-type="epub"><day>21</day><month>12</month><year>2021</year></pub-date><pub-date pub-type="pmc-release"><day>31</day><month>1</month><year>2023</year></pub-date><volume>40</volume><issue>5</issue><fpage>780</fpage><lpage>788</lpage><abstract id="ABS1"><sec id="S1"><title>Background:</title><p id="P1">Hemagglutination inhibition (HAI) titers to the live-attenuated
influenza vaccine (LAIV4) are typically lower than its counterpart egg-based
inactivated influenza vaccines (IIV). Similar comparisons have not been made
between LAIV4 and the 4-strain, cell-culture inactivated influenza vaccine
(ccIIV4). We compared healthy children&#x02019;s and young adults&#x02019; HAI
titers against the 2019&#x02013;2020 LAIV4 and ccIIV4.</p></sec><sec id="S20"><title>Methods:</title><p id="P200">Participants aged 4&#x02013;21 years were randomized 1:1 to receive
ccIIV4 (n = 100) or LAIV4 (n = 98). Blood was drawn prevaccination and on
day 28 (21&#x02013;35) post vaccination. HAI assays against egg-grown A/H1N1,
A/H3N2, both vaccine B strains and cell-grown A/H3N2 antigens were
conducted. Primary outcomes were geometric mean titers (GMT) and geometric
mean fold rise (GMFR) in titers.</p></sec><sec id="S2"><title>Results:</title><p id="P2">GMTs to A/H1N1, A/H3N2 and B/Victoria increased following both ccIIV
and LAIV and to B/Yamagata following ccIIV (p &#x0003c; 0.05). The GMFR range
was 2.4&#x02013;3.0 times higher for ccIIV4 than for LAIV4 (p &#x0003c;
0.001). Within vaccine types, egg-grown A/H3N2 GMTs were higher (p &#x0003c;
0.05) than cell-grown GMTs [ccIIV4 day 28: egg = 205 (95% CI:
178&#x02013;237); cell = 136 (95% CI:113&#x02013;165); LAIV4 day 28: egg = 96
(95% CI: 83&#x02013;112); cell = 63 (95% CI: 58&#x02013;74)]. The GMFR to
A/H3N2 cell-grown and egg-grown antigens were similar. Pre-vaccination
titers inversely predicted GMFR.</p></sec><sec id="S3"><title>Conclusion:</title><p id="P3">The HAI response to ccIIV4 was greater than LAIV4 in this study of
mostly older children, and day 0 HAI titers inversely predicted GMFR for
both vaccines. Lower prevaccination titers were associated with greater GMFR
in both vaccine groups.</p></sec></abstract><kwd-group><kwd>Influenza</kwd><kwd>Influenza vaccine</kwd><kwd>Hemagglutination inhibition assay</kwd><kwd>Cell-culture-based inactivated influenza vaccine</kwd><kwd>Egg-based live attenuated influenza vaccine</kwd><kwd>Randomized controlled trial</kwd></kwd-group></article-meta></front><body><sec id="S4"><label>1.</label><title>Introduction</title><p id="P4">Influenza is a major public health burden causing millions of illnesses and
outpatient visits and resulting in tens of thousands of hospitalizations and deaths
in the U.S. annually [<xref rid="R1" ref-type="bibr">1</xref>]. Vaccination is the
primary influenza prevention method. Advances in vaccine technology have resulted in
multiple vaccine types licensed for use in the U.S., comprising intramuscularly
administered inactivated influenza vaccines (IIV), including a quadrivalent cell
culture-based inactivated vaccine (ccIIV4), and nasally administered, egg-based live
attenuated influenza vaccine (LAIV4). The Advisory Committee on Immunization
Practice (ACIP), which sets civilian immunization policy for the United States,
recommends vaccination with any licensed vaccine, without a stated preference [<xref rid="R2" ref-type="bibr">2</xref>].</p><p id="P5">Several factors can affect the immune response to either vaccine type,
including pre-existing antibodies, prior vaccination status, previous infection, and
age [<xref rid="R3" ref-type="bibr">3</xref>&#x02013;<xref rid="R5" ref-type="bibr">5</xref>]. Nasally administered LAIV4, which is absorbed through the nasal
mucosa, generates an immune response that differs from direct systemic exposure from
intramuscularly administered IIV [<xref rid="R6" ref-type="bibr">6</xref>].
Moreover, the manufacturing process may have an impact on immune response. For
example, the viruses used for vaccine antigens can be grown in mammalian cell
culture or embryonated chicken eggs. Growth in cell culture has the advantage of
limiting the virus mutations that often occur during the egg-based manufacturing
process. While, egg-based LAIV4 has been shown to be more effective against
antigenically different or drifted strains [<xref rid="R7" ref-type="bibr">7</xref>], egg-induced mutations in influenza A(H3N2) vaccine viruses have resulted
in reduced efficacy of egg-based vaccines [<xref rid="R8" ref-type="bibr">8</xref>].</p><p id="P6">Previous research comparing the hemagglutination inhibition (HAI) antibody
responses of IIV and LAIV4 has historically demonstrated lower HAI titers in
response to LAIV compared to egg-based IIV [<xref rid="R3" ref-type="bibr">3</xref>,<xref rid="R6" ref-type="bibr">6</xref>,<xref rid="R9" ref-type="bibr">9</xref>,<xref rid="R10" ref-type="bibr">10</xref>]. These studies were
conducted before the reformulation of LAIV4 necessitated by poor vaccine
effectiveness [<xref rid="R11" ref-type="bibr">11</xref>]. In a previous study among
children, we found no differences in seroconversion in children receiving egg- or
cell-grown IIV in 2018&#x02013;19 [<xref rid="R12" ref-type="bibr">12</xref>]. The
cell-grown IIV4 used in that study contained A/H1N1 that was derived from an
egg-based seed leading to a 3:1 cell to egg formulation. The 2019&#x02013;20 season
is the first in which the ccIIV4 formulation is exclusively cell-based. Furthermore,
the current LAIV4 reformulation and interest in avoiding egg-induced mutations to
the A/H3N2 antigen should be considered. Thus, an assessment of the HAI response to
A/H3N2 egg- and cell-based antigens for each vaccine in a clinical setting of
children and young adults is warranted.</p><p id="P7">The purpose of this randomized controlled trial was to quantify and compare
pre- and post-vaccination HAI responses to 2019&#x02013;20 LAIV4 and ccIIV4, among a
racially diverse group of children and young adults during the 2019&#x02013;20
influenza season.</p></sec><sec id="S5"><label>2.</label><title>Methods</title><p id="P8">The Institutional Review Boards at the University of Pittsburgh and the
Centers for Disease Control and Prevention (CDC) approved this study. Written
informed consent and assent, where appropriate, were obtained from all participants
and/or their parents/legal guardians prior to beginning study procedures.</p><sec id="S6"><label>2.1.</label><title>Study design and participants</title><p id="P9">This study was a randomized controlled clinical trial comparing the
serologic antibody response to two quadrivalent 2019&#x02013;20 influenza
vaccines: ccIIV4 (Seqirus Flucelvax<sup>&#x000ae;</sup>, lot 261199, 261203)
administered intramuscularly in the upper arm deltoid muscle with a 25-gauge 1
in. needle and egg-based LAIV4 (AstraZeneca FluMist<sup>&#x000ae;</sup>, lot
LJ2514) administered intranasally with one metered spray in each nostril.</p><p id="P10">Healthy participants included patients ages 4&#x02013;17 years who
receive primary care at pediatric and family medicine health centers. These
children typically receive annual IV [<xref rid="R13" ref-type="bibr">13</xref>]
and thus they tend to have higher pre-vaccination HAI titers. Other participants
up to age 21 who were unvaccinated in the prior season (2018&#x02013;19) and thus
would be expected to have lower pre-vaccination HAI titers, also participated.
Participants were recruited and enrolled from September 20, 2019 through
November 13, 2019 through: 1) mailings to past research participants; 2)
personal approach by research assistants/nurses at well-child visits at five
primary care health centers (one pediatric and four family medicine practices);
and 3) targeted emails to 18&#x02013;21-year-olds enrolled in an institutional
participant-centered research registry. Recruitment ended when the targeted
number for enrollment goal was achieved. All study vaccinations were completed
by November 25, 2019, prior to regional circulation of influenza virus; the
final participant visit was completed on December 18, 2019. Verification of
prior year vaccination status was confirmed through the Pennsylvania Statewide
Immunization Information System (PA-SIIS) vaccine registry.</p><p id="P11">Eligibility criteria included parental consent for randomization to
receive one of the two 2019&#x02013;20 FDA approved influenza vaccines used in
the study. Exclusion criteria included: weight &#x0003c; 16.8 k g (37 lb.); known
to be pregnant; having an immunosuppressing health condition or taking
immunosuppressant medications; having already received the 2019&#x02013;20
influenza vaccine; not able to complete all study visits in the appropriate time
window; contraindications to LAIV4 (asthma with treatment for wheezing in the
past year; individuals who may have contact with severely immunosuppressed
persons) or conditions with precautions to LAIV4 vaccine (disorders of the
cardiovascular system, seizures, diabetes mellitus, renal or hepatic disease) or
severe allergies to eggs or influenza vaccine components.</p><p id="P12">Following screening and consent, a blood sample was drawn. Participants
were then randomized to receive one of the two study vaccines in an unblinded
manner. To ensure that roughly the same number of each vaccine types were
administered at each of the enrollment sites, participants were randomized in
blocks of four. Sequentially numbered vaccine assignment cards were computer
generated based on 1:1 randomization for each vaccine type. The next available
numbered card was used to instruct the clinical staff which vaccine to
administer under standard vaccination protocols. While the participant and
research team were not blinded to randomization allocation, the laboratory team
was unaware of participants&#x02019; group assignment.</p></sec><sec id="S7"><label>2.2.</label><title>Demographic data collection</title><p id="P13">Baseline data were collected with entry into REDCap<sup>&#x02122;</sup>,
a secure, online database management system. Baseline demographics included age,
and self-identified: sex, race, ethnicity, parental educational status, and
health insurance coverage.</p></sec><sec id="S8"><label>2.3.</label><title>Hemagglutination inhibition assay</title><p id="P14">Whole blood samples were obtained on participants prevaccination and 28
days (range 21&#x02013;35 days) post influenza vaccination in BD
Vacutainer<sup>&#x02122;</sup> serum separator tubes with polymer gel/silica
activator additive (BD 367989). Tubes were held at room temperature and taken to
the processing laboratory within 4 h of being drawn. Aliquoted serum samples
were frozen at &#x02212;80&#x000b0;Celcius until assayed.</p><p id="P15">Assays were conducted as previously described [<xref rid="R11" ref-type="bibr">11</xref>]. Sera were heat inactivated, tested for
nonspecific agglutinins, and adsorbed as needed. Sera were serially diluted
2-fold and incubated with 4 hemagglutination units per 25 &#x003bc;L of virus
with erythrocytes for quantification of HAI titers. Turkey erythrocytes were
used for the testing of A/H1N1 and B influenza viruses, guinea pig erythrocytes
with 20 mM oseltamivir were used for the testing of A/H3N2 viruses. HAI titer
was defined as the reciprocal of the last dilution of serum that completely
inhibited hemagglutination. Antibody titers &#x0003c; 10 (initial sera dilution)
were reported as 5 for analysis. Sera for both vaccine types were tested in HAI
assays against egg-grown vaccine strains included in the 2019&#x02013;20
influenza vaccines (A/Brisbane/02/2018 (H1N1)pdm09, A/Kansas/14/2017 (A/H3N2),
B/Colorado/06/2017 (B/Victoria lineage) and B/Phuket/3073/2013 (B/Yamagata
lineage), as well as an available cell-grown HAI strain for A/Kansas/14/2017
A/(H3N2).</p></sec><sec id="S9"><label>2.4.</label><title>Statistical analysis</title><p id="P16">Primary outcome measures were post vaccination geometric mean titers
(GMT) and geometric mean fold-rise (GMFR) in titers from day 0 to day 28.
Secondary outcomes were defined as an HAI titer either &#x02265; 1:40 or &#x02265;
1:110 and seroconversion, defined as a four-fold rise in titer with day 28 post
vaccination titer &#x02265; 40 or &#x02265; 1:110. Titers of &#x02265; 1:40 have
long been used as correlate of protection of 50% reduction in risk influenza
infection, although young children may need a higher HAI titer of &#x02265; 1:110
to reach the same level of protection [<xref rid="R14" ref-type="bibr">14</xref>].</p><p id="P17">Based on previous research comparing seroconversion rates for LAIV4 and
ccIIV4, it was determined that a sample size of 200 would be needed to achieve
an 80% power to detect a significant difference between vaccine types for
seroconversion with a moderate effect size of 0.2 [<xref rid="R11" ref-type="bibr">11</xref>]. Due to high prevaccination GMT, the primary
outcome of this study is reported as GMT and GMFR in titers. A post hoc power
calculation of A/H1N1-A/Brisbane day 28 titer outcomes revealed a sample size of
200 had power of 99.8% to detect a difference between vaccine types for day 28
GMT, GMFR in titers and seroconversion.</p><p id="P18">Summary statistics were conducted by vaccine group using
chi-square/Fisher exact tests for categorial variables and t-tests for
continuous variables. GMFR was calculated as the ratio of the post-vaccination
titer to the prevaccination titer. HAI and fold-rise were
log<sub>2</sub>-transformed to perform t-tests and linear regressions. GMTs,
GMFR, and 95% confidence intervals were calculated using the survey means
procedure in SAS. Linear regression was used to examine associations between
fold-rise controlling for age, prevaccination titers, and prior season
(2018&#x02013;19) vaccination status as previously described [<xref rid="R15" ref-type="bibr">15</xref>]. All analytical procedures were performed using
SAS<sup>&#x000ae;</sup> 9.4 (Cary, NC). Statistical significance of two-sided
tests was set at type I error (alpha) = 0.05.</p></sec></sec><sec id="S10"><label>3.</label><title>Results</title><p id="P19">Of 234 persons aged 4 to 21 years assessed for eligibility, 16 were excluded
and 218 were randomized: 110 received ccIIV4 and 108 LAIV4. After randomization, 20
participants were excluded from the per-protocol analysis: 19 failed to return for
post-vaccination specimen collection or were missing paired sera, and one
participant randomized to the ccIIV4 group received a non-study IIV4. Per-protocol
analysis included 198 individuals: 100 received ccIIV4 and 98 received LAIV4 (<xref rid="F1" ref-type="fig">Fig. 1</xref>).</p><p id="P20">Patient characteristics were similar for the two vaccine arms (<xref rid="T1" ref-type="table">Table 1</xref>). Overall, 55% of participants were age
18&#x02013;21 years, 63% were female, 48% were non-white and 16% were obese. Nearly
half of participants were publicly insured, 14% were exposed to household smoking
and the majority of parents had less than college education. Differences in prior
season influenza vaccination (52% vs 47%) were not statistically significant (p =
0.48).</p><p id="P21">Pre- and post vaccination GMTs and GMFR are shown by vaccine group in <xref rid="T2" ref-type="table">Table 2</xref>. Pre-vaccination titers were similar by
vaccine group across all antigens; 72%&#x02212;85% had titers &#x02265; 1:40 and
14%&#x02212;61% had titers &#x02265; 1:110. After vaccination, GMTs increased
significantly against all antigens except among LAIV4 recipients against B/Phuket
(Yamagata lineage). All measures of post-vaccination titers, i.e., GMTs, GMFR and
proportions with HAI titers &#x02265; 1:40 and &#x02265; 1:110, were significantly
higher among ccIIV4 recipients than LAIV4 recipients across all antigens (all p
&#x02264; 0.02; <xref rid="T2" ref-type="table">Table 2</xref>). There was no
significant difference between GMFR in antibody titer for A/H3N2 tested against
cell-grown antigen and A/H3N2 tested against egg-grown antigen. Responses to all
antigens in ccIIV4 and LAIV4 recipients for Day 0, Day 28 and GMFR are shown in
<xref rid="F2" ref-type="fig">Fig. 2</xref>.</p><p id="P22">Day 28 HAI titers of &#x02265; 1:40 and &#x02265; 1:110 to all antigens were
higher in response to ccIIV4 compared to LAIV4 (<xref rid="T2" ref-type="table">Table 2</xref>, p &#x0003c; 0.05). Seroconversion with titers &#x02265; 1:40
occurred in&#x0003c;12% of all LAIV4 participants compared to 28&#x02013;47% of ccIIV4
participants. Seroconversion &#x02265; 1:110 occurred in&#x0003c;9% of all LAIV4
participants compared to 22&#x02013;39% of ccIIV4 participants. Among participants
seronegative to each antigen at baseline (<xref rid="T3" ref-type="table">Table
3</xref>), HAI titers were higher at Day 28 than Day 0 for both vaccines. Day 28
HAI titers, GMFR, and seroconversion to &#x02265; 1:40 were higher in ccIIV4
recipients. Among this subset, seroconversion to &#x02265; 1:40 was observed in
64&#x02013;100% ccIIV4 recipients and 14&#x02013;33% for LAIV4 recipients. Regression
analyses for seroconversion &#x02265; to 1:40 were controlled for baseline titer,
age, and prior year vaccination status because those vaccinated in the prior season
were older (19.4 years, 95% CI 18.8&#x02013;20.0) than those unvaccinated in the
prior season (14.5 years, 95% CI 13.7&#x02013;15.2, p = 0.02). Controlling for these
factors among those with HAI titers &#x0003c; 1:40 at baseline for each antigen by
each vaccine type, baseline HAI titers and age did not predict seroconversion (<xref rid="SD1" ref-type="supplementary-material">Supplemental Table 1</xref>). Prior
year vaccination predicted seroconversion to &#x02265; 1:40 for ccIIV4 for
B/Colorado-B/Victoria (&#x000df; = &#x02212;0.82, 0.001) p &#x0003c; and A/Kansas cell
grown antigens (&#x000df; = &#x02212;0.48, p = 0.03).</p><p id="P23"><xref rid="F3" ref-type="fig">Figs. 3a</xref> and <xref rid="F4" ref-type="fig">3b</xref> show patterns of antibody response to vaccination for
all antigens. For both ccIIV4 and LAIV4, antibody titers for most participants
increased or remained similar to prevaccination; greater than two-fold decreased
titers were observed in few participants in both vaccine groups. However, patterns
of antibody response to vaccination differed significantly by vaccine type across
all antigens, including against cell-grown and egg-grown A/H3N2 antigens. For the
ccIIV4 recipients, a strong &#x0201c;ceiling&#x0201d; effect was observed, with post
vaccination titers reaching similar levels across a range of prevaccination titers;
whereas antibody titers among LAIV recipients increased more variably from pre- to
post vaccination. In regression analyses, lower pre-vaccination titers were
associated with greater GMFR in titers in both vaccine groups, although the
association was much stronger in the ccIIV4 recipients (<xref rid="SD1" ref-type="supplementary-material">Supplemental Table 2</xref>). Controlling for
pre-vaccination HAI titer, and age, prior season (2018&#x02013;19) vaccination was
associated with decreased GMFR against B/Colorado-B/Victoria in ccIIV4 recipients
(&#x000df; =&#x02212;1.21, p &#x0003c; 0.001) and B/Yamagata-B/Phuket (&#x000df;
=&#x02212;0.53, p &#x0003c; 0.05). With similar adjustments, prior season vaccination
was associated with increased GMFR against A/H3N2-A/Kansas egg-grown antigens
(&#x000df; =0.18, p &#x0003c; 0.01) in LAIV4 recipients, but was not independently
associated with GMFR against other antigens.</p></sec><sec id="S11"><label>4.</label><title>Discussion</title><p id="P24">This randomized controlled trial compared antibody responses to cell-grown
(ccIIV4) and egg-grown (LAIV4) influenza vaccine in a racially diverse group of
children and young adults. Compared to previous work, which used a ccIIV4
formulation with three cell-grown antigens and one egg-grown antigen (A/H1N1), this
study used a ccIIV4 composed entirely of cell-based antigens. LAIV4 was composed
entirely of egg-grown antigens. A/H3N2 strains have become increasingly glycosylated
as a result of adaptations required for growth in eggs. These adaptations have led
to antigenic differences between vaccine strains and the wild virus [<xref rid="R16" ref-type="bibr">16</xref>] and reduced vaccine effectiveness. Thus, cell-grown
vaccine strains offer the potential to avoid HA protein mutations that occur in
egg-based systems [<xref rid="R17" ref-type="bibr">17</xref>].</p><p id="P25">For all measures of HAI response, ccIIV4 elicited significantly larger
increases than LAIV4 at 28 days post vaccination. For LAIV4, HAI response was
attenuated and seroconversion was infrequent. While titers of &#x02265; 1:40 have
long been used as a correlate of protection of 50% protection from influenza
infection in response to influenza vaccines, titers of &#x02265; 1:110 have been
shown to be required to reach this level or protection in children ages 6&#x02013;72
months [<xref rid="R14" ref-type="bibr">14</xref>], and attainment of these levels
was more common in response to ccIIV4. However, to date no HAI marker as a correlate
of protection for LAIV4 [<xref rid="R18" ref-type="bibr">18</xref>].</p><p id="P26">Lower HAI responses to LAIV compared to IIV have been reported in prior
seasons [<xref rid="R3" ref-type="bibr">3</xref>,<xref rid="R6" ref-type="bibr">6</xref>,<xref rid="R9" ref-type="bibr">9</xref>,<xref rid="R10" ref-type="bibr">10</xref>]. Our findings with the 2019&#x02013;20 LAIV4
formulation and fully cell-based ccIIV4 follow a similar pattern. Prior studies have
similarly shown a lower HAI response to LAIV in countries where influenza vaccines
are routinely administered, although a few earlier studies showed a significant HAI
response to LAIV prior to the initiation of routine seasonal vaccination in children
[<xref rid="R18" ref-type="bibr">18</xref>]. Because of different routes of
administration for the two vaccine types, secretory IgA and cellular immune
processes stimulated by administration via the nasal route may be a better measure
of immune response than HAI for LAIV4 influenza vaccine [<xref rid="R6" ref-type="bibr">6</xref>,<xref rid="R10" ref-type="bibr">10</xref>,<xref rid="R19" ref-type="bibr">19</xref>]. Measures of immunoglobulins (IgG and IgA)
and cellular immune responses would help delineate the potential for differences
between the vaccine groups not observed in HAI titers alone.</p><p id="P27">Despite the lower rise in HAI titers typically found in response to LAIV,
vaccination with LAIV is effective at limiting influenza infection [<xref rid="R7" ref-type="bibr">7</xref>,<xref rid="R11" ref-type="bibr">11</xref>]. This
disconnection between serological measures of immunity in response to LAIV and
vaccine effectiveness suggests other aspects of the immune response may play a
greater role for vaccine efficacy for LAIV. For example, mucosal immunity due to the
route of administration and cellular immunity may play a role in vaccine efficacy in
response to LAIV [<xref rid="R10" ref-type="bibr">10</xref>,<xref rid="R18" ref-type="bibr">18</xref>]. Differences in inflammatory mediator expression
[<xref rid="R9" ref-type="bibr">9</xref>] and gene expression [<xref rid="R20" ref-type="bibr">20</xref>] in comparisons of the immune response to LAIV and IIV
have also been reported.</p><p id="P28">When comparing the relationship of pre- to post vaccination titers, with
ccIIV4 in particular, those with lower pre-vaccination titers had the greatest
increase. For both ccIIV4 and LAIV4, participants with high baseline titers remained
high. Pre-vaccination titer was predictor of post-vaccination titer (positively
correlated) and GMFR (negatively correlated). We found similar relative GMFR
increases in A/H3N2 cell- and egg-grown antigens within vaccine type in the
2019&#x02013;20 season. Analyses to determine predictors of seroconversion among
those seronegative at baseline did not show an effect of age, after controlling for
prior year vaccination status, on rates of seroconversion. In this subgroup, prior
year vaccination predicted a lower rate of seroconversion to B/Colorado
(B/Victoria), a component of the 2018&#x02013;19 vaccine in the ccIIV4
recipients.</p><p id="P29">A prior study in 2018&#x02013;19, comparing ccIIV4 with 3 cell-grown and 1
egg-grown strains and LAIV4, which incorporated microneutralization measures, found
that the GMFR measured using egg-grown A/H3N2 antigen was higher for egg-based
vaccine than cell-based vaccine recipients [<xref rid="R12" ref-type="bibr">12</xref>]. In the current study, GMFR responses to egg- and cell-grown A/H3N2
antigens were similar within vaccine type. Thus, the question of response based on
the antigen growth medium is still unresolved.</p><p id="P30">Due to the known effect of baseline titers and prior vaccination history on
vaccine response [<xref rid="R19" ref-type="bibr">19</xref>], we specifically
recruited participants who were not vaccinated in the prior season anticipating that
they may have lower titers pre-vaccination and be more likely to mount an HAI
response. In post hoc analyses, pre-vaccination titer was a negative predictor of
vaccine response for both vaccines, with a greater rise in titer among those with
lower prevaccination titers. Despite the large proportion of participants
unvaccinated in the prior year, only the HAI response to B/Colorado-B/Victoria and
B/Yamagata-B/Phuket, components of both the 2018&#x02013;19 and 2019&#x02013;20
vaccines, had an independent associations with a smaller GMFR. For LAIV4, a slightly
higher response to A/H3N2-A/Kansas egg-grown antigens was for those vaccinated in
the prior season was found. Pre-vaccination titers as well as prior year vaccination
status should be considered in determining degree of vaccine response.</p><sec id="S12"><label>4.1.</label><title>Strengths and limitations</title><p id="P31">A strength of this study was the relatively large randomized controlled
sample. Small sample size within the youngest age group limited power to detect
differences by age. Participants were historically highly vaccinated with high
pre-vaccination titers, and repeated vaccination with egg-based vaccines may
affect antibody responses to cell-based antigens. Overall, immune responses may
not predict vaccine effectiveness, especially for LAIV for which better
correlates of protection are needed.</p></sec><sec id="S13"><label>4.2.</label><title>Conclusions</title><p id="P32">In this racially diverse group of children and young adults, half of
whom were unvaccinated in the prior season, all measures of HAI titers were
higher among ccIIV4 recipients than LAIV recipients. Even among vaccine
recipients with high pre-vaccination titers, HAI titers remained high post
vaccination. Responses to ccIIV4 and LAIV4 as measured by GMFR were consistent
against egg- and cell-grown antigens. Future studies are needed to examine the
immunoglobulin and cellular immune responses to ccIIV4 and LAIV4.</p></sec></sec><sec sec-type="supplementary-material" id="SM1"><title>Supplementary Material</title><supplementary-material id="SD1" position="float" content-type="local-data"><label>Supp.Materials</label><media xlink:href="NIHMS1766487-supplement-SuppMaterials.docx" id="d64e460" position="anchor"/></supplementary-material></sec></body><back><ack id="S14"><title>Funding and support</title><p id="P33">This work was supported by the Centers for Disease Control and Prevention
(CDC) [5U01IP001035] and by National Institutes of Health (NIH) [UL1TR001857], [KL2
TR001856], and/or [TL1 TR001858]. 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.</p><p id="P34">Pennsylvania Statewide Immunization Information System (PA-SIIS) vaccine
registry was used to verify vaccination status. These data were supplied in part by
the Bureau of Health Statistics &#x00026; Registries, Pennsylvania Department of Health,
Harrisburg, Pennsylvania. The Pennsylvania Department of Health specifically
disclaims responsibility for any analyses, interpretations, or conclusions.</p><p id="P35">REDCap and the Department of Biomedical Informatics grant support (Clinical
and Translational Sciences Institute at the University of Pittsburgh Grant Number
UL1-TR-001857). Study data were collected and managed using REDCap electronic data
capture tools hosted at the University of Pittsburgh.</p><sec id="S15"><title>Declaration of Competing Interest</title><p id="P36">The authors declare the following financial interests/personal
relationships which may be considered as potential competing interests: [RKZ has
received unrelated funding by Sanofi. MPN has research funding from Merck &#x00026;
Co., Inc. for an unrelated study. JMM has received unrelated funding from Merck,
Sharp and Dohme.].</p></sec></ack><fn-group><fn id="FN1"><p id="P37">Appendix A. Supplementary material</p><p id="P38">Supplementary data to this article can be found online at <ext-link xlink:href="10.1016/j.vaccine.2021.12.034" ext-link-type="doi">https://doi.org/10.1016/j.vaccine.2021.12.034</ext-link>.</p></fn></fn-group><glossary><title>Abbreviations:</title><def-list><def-item><term>HAI</term><def><p id="P39">hemagglutination inhibition assay</p></def></def-item><def-item><term>IIV</term><def><p id="P40">inactivated influenza vaccine</p></def></def-item><def-item><term>ccIIV4</term><def><p id="P41">cell-culture-based inactivated influenza vaccine
quadrivalent</p></def></def-item><def-item><term>LAIV4</term><def><p id="P42">Egg-based live attenuated influenza vaccine quadrivalent</p></def></def-item><def-item><term>EMR</term><def><p id="P43">Electronic medical record</p></def></def-item><def-item><term>RDE</term><def><p id="P44">Receptor-destroying enzyme</p></def></def-item><def-item><term>PBS</term><def><p id="P45">Phosphate-buffered saline</p></def></def-item><def-item><term>CDC</term><def><p id="P46">Centers for Disease Control and Prevention</p></def></def-item><def-item><term>FDA</term><def><p id="P47">Food and Drug Administration</p></def></def-item><def-item><term>GMT</term><def><p id="P48">Geometric mean titers</p></def></def-item><def-item><term>GMFR</term><def><p id="P49">Geometric mean fold rise</p></def></def-item><def-item><term>ACIP</term><def><p id="P50">Advisory Committee on Immunization Practice</p></def></def-item><def-item><term>PA-SIIS</term><def><p id="P51">Pennsylvania Statewide Immunization Information System</p></def></def-item></def-list></glossary><ref-list><title>References</title><ref id="R1"><label>[1]</label><mixed-citation publication-type="webpage"><collab>Centers for Disease Control</collab>.
<source>Disease Burden of Influenza</source>. <comment><ext-link xlink:href="https://www.cdc.gov/flu/about/burden/index.html" ext-link-type="uri">https://www.cdc.gov/flu/about/burden/index.html</ext-link>.
Accessed</comment>
<date-in-citation>June 30, 2021</date-in-citation>.</mixed-citation></ref><ref id="R2"><label>[2]</label><mixed-citation publication-type="journal"><name><surname>Grohskopf</surname><given-names>LA</given-names></name>, <name><surname>Alyanak</surname><given-names>E</given-names></name>, <name><surname>Broder</surname><given-names>KR</given-names></name>, <name><surname>Walter</surname><given-names>EB</given-names></name>, <name><surname>Fry</surname><given-names>AM</given-names></name>, <name><surname>Jernigan</surname><given-names>DB</given-names></name>. <article-title>Prevention and Control of Seasonal Influenza with
Vaccines: Recommendations of the Advisory Committee on Immunization
Practices &#x02014; United States, 2019&#x02013;20 Influenza
Season</article-title>. <source>MMWR Recomm Rep</source>
<year>2019</year>;<volume>68</volume>
(<issue>3</issue>):<fpage>1</fpage>&#x02013;<lpage>21</lpage>.</mixed-citation></ref><ref id="R3"><label>[3]</label><mixed-citation publication-type="journal"><name><surname>King</surname><given-names>JP</given-names></name>, <name><surname>McLean</surname><given-names>HQ</given-names></name>, <name><surname>Meece</surname><given-names>JK</given-names></name>, <name><surname>Levine</surname><given-names>MZ</given-names></name>, <name><surname>Spencer</surname><given-names>SM</given-names></name>, <name><surname>Flannery</surname><given-names>B</given-names></name>, <etal/>
<article-title>Vaccine failure and serologic response to live attenuated and
inactivated influenza vaccines in children during the 2013&#x02013;2014
season</article-title>. <source>Vaccine</source>.
<year>2018</year>;<volume>36</volume>
(<issue>9</issue>):<fpage>1214</fpage>&#x02013;<lpage>9</lpage>.
<pub-id pub-id-type="doi">10.1016/j.vaccine.2018.01.016</pub-id>.<pub-id pub-id-type="pmid">29395525</pub-id></mixed-citation></ref><ref id="R4"><label>[4]</label><mixed-citation publication-type="journal"><name><surname>Nu&#x000f1;ez</surname><given-names>IA</given-names></name>, <name><surname>Carlock</surname><given-names>MA</given-names></name>, <name><surname>Allen</surname><given-names>JD</given-names></name>, <name><surname>Owino</surname><given-names>SO</given-names></name>, <name><surname>Moehling</surname><given-names>KK</given-names></name>, <name><surname>Nowalk</surname><given-names>P</given-names></name>, <etal/>
<article-title>Impact of age and pre-existing influenza immune responses in
humans receiving split inactivated influenza vaccine on the induction of the
breadth of antibodies to influenza A strains</article-title>. <source>PLoS ONE</source>
<year>2017</year>;<volume>12</volume>(<issue>11</issue>):<fpage>e0185666</fpage>.
<pub-id pub-id-type="doi">10.1371/journal.pone.0185666</pub-id>.<pub-id pub-id-type="pmid">29091724</pub-id></mixed-citation></ref><ref id="R5"><label>[5]</label><mixed-citation publication-type="journal"><name><surname>Zhong</surname><given-names>W</given-names></name>, <name><surname>Tobler</surname><given-names>S</given-names></name>, <name><surname>Roayaei</surname><given-names>J</given-names></name>. <article-title>Live attenuated or inactivated influenza vaccines and
medical encounters for respiratory illnesses among US military
personnel</article-title>. <source>JAMA &#x02212;. J Am Med Assoc</source>
<year>2009</year>;<volume>301</volume>. <pub-id pub-id-type="doi">10.1001/jama.2009.265</pub-id>.</mixed-citation></ref><ref id="R6"><label>[6]</label><mixed-citation publication-type="journal"><name><surname>Hoft</surname><given-names>DF</given-names></name>, <name><surname>Lottenbach</surname><given-names>KR</given-names></name>, <name><surname>Blazevic</surname><given-names>A</given-names></name>, <name><surname>Turan</surname><given-names>A</given-names></name>, <name><surname>Blevins</surname><given-names>TP</given-names></name>, <name><surname>Pacatte</surname><given-names>TP</given-names></name>, <etal/>
<article-title>Comparisons of the humoral and cellular immune responses induced
by live attenuated influenza vaccine and inactivated influenza vaccine in
adults</article-title>. <source>Clin Vaccine Immunol</source>
<year>2017</year>;<volume>24</volume>(<issue>1</issue>). <pub-id pub-id-type="doi">10.1128/CVI.00414-16</pub-id>.</mixed-citation></ref><ref id="R7"><label>[7]</label><mixed-citation publication-type="journal"><name><surname>Ambrose</surname><given-names>CS</given-names></name>, <name><surname>Wu</surname><given-names>X</given-names></name>, <name><surname>Knuf</surname><given-names>M</given-names></name>, <name><surname>Wutzler</surname><given-names>P</given-names></name>. <article-title>The efficacy of intranasal live attenuated influenza
vaccine in children 2 through 17 years of age: A meta-analysis of 8
randomized controlled studies</article-title>. <source>Vaccine</source>.
<year>2012</year>;<volume>30</volume>(<issue>5</issue>):<fpage>886</fpage>&#x02013;<lpage>92</lpage>.
<pub-id pub-id-type="doi">10.1016/j.vaccine.2011.11.104</pub-id>.<pub-id pub-id-type="pmid">22155144</pub-id></mixed-citation></ref><ref id="R8"><label>[8]</label><mixed-citation publication-type="journal"><name><surname>Barr</surname><given-names>IG</given-names></name>, <name><surname>Donis</surname><given-names>RO</given-names></name>, <name><surname>Katz</surname><given-names>JM</given-names></name>, <name><surname>McCauley</surname><given-names>JW</given-names></name>, <name><surname>Odagiri</surname><given-names>T</given-names></name>, <name><surname>Trusheim</surname><given-names>H</given-names></name>, <etal/>
<article-title>Cell culture-derived influenza vaccines in the severe
2017&#x02013;2018 epidemic season: a step towards improved influenza vaccine
effectiveness</article-title>. <source>npj Vaccines</source>
<year>2018</year>;<volume>3</volume> (<issue>1</issue>). <pub-id pub-id-type="doi">10.1038/s41541-018-0079-z</pub-id>.</mixed-citation></ref><ref id="R9"><label>[9]</label><mixed-citation publication-type="journal"><name><surname>Martin</surname><given-names>JM</given-names></name>, <name><surname>Avula</surname><given-names>R</given-names></name>, <name><surname>Nowalk</surname><given-names>MP</given-names></name>, <name><surname>Lin</surname><given-names>CJ</given-names></name>, <name><surname>Horne</surname><given-names>WT</given-names></name>, <name><surname>Chandran</surname><given-names>UR</given-names></name>, <etal/>
<article-title>Inflammatory mediator expression associated with antibody
response induced by live attenuated vs inactivated influenza virus vaccine
in children</article-title>. <source>Open Forum Infect Dis</source>
(<year>2018</year>);<volume>5</volume>:<fpage>1</fpage>&#x02013;<lpage>10</lpage>.
<pub-id pub-id-type="doi">10.1093/ofid/ofy277</pub-id>.</mixed-citation></ref><ref id="R10"><label>[10]</label><mixed-citation publication-type="journal"><name><surname>Manenti</surname><given-names>A</given-names></name>, <name><surname>Tete</surname><given-names>SM</given-names></name>, <name><surname>Mohn</surname><given-names>K-I</given-names></name>, <name><surname>Jul-Larsen</surname><given-names>&#x000c5;</given-names></name>, <name><surname>Gianchecchi</surname><given-names>E</given-names></name>, <name><surname>Montomoli</surname><given-names>E</given-names></name>, <etal/>
<article-title>Comparative analysis of influenza A(H3N2) virus hemagglutinin
specific IgG subclass and IgA responses in children and adults after
influenza vaccination</article-title>. <source>Vaccine</source>.
<year>2017</year>;<volume>35</volume>(<issue>1</issue>):<fpage>191</fpage>&#x02013;<lpage>8</lpage>.
<pub-id pub-id-type="doi">10.1016/j.vaccine.2016.10.024</pub-id>.<pub-id pub-id-type="pmid">27789145</pub-id></mixed-citation></ref><ref id="R11"><label>[11]</label><mixed-citation publication-type="journal"><name><surname>Jhaveri</surname><given-names>R</given-names></name>
<article-title>Live Attenuated Influenza Vaccine: Is Past Performance a
Guarantee of Future Results?</article-title>
<source>Clin Ther</source>.
<year>2018</year>;<volume>40</volume>(<issue>8</issue>):<fpage>1246</fpage>&#x02013;<lpage>54</lpage>.
<pub-id pub-id-type="doi">10.1016/j.clinthera.2018.07.003</pub-id>.<pub-id pub-id-type="pmid">30093132</pub-id></mixed-citation></ref><ref id="R12"><label>[12]</label><mixed-citation publication-type="journal"><name><surname>Moehling</surname><given-names>KK</given-names></name>, <name><surname>Zimmerman</surname><given-names>RK</given-names></name>, <name><surname>Nowalk</surname><given-names>MP</given-names></name>, <name><surname>Jeng Lin</surname><given-names>C</given-names></name>, <name><surname>Martin</surname><given-names>JM</given-names></name>, <name><surname>Alcorn</surname><given-names>JF</given-names></name>, <etal/>
<article-title>A randomized controlled trial of antibody response to
2018&#x02013;19 cell-based vs. egg-based quadrivalent inactivated influenza
vaccine in children</article-title>. <source>Vaccine</source>.
<year>2020</year>;<volume>38</volume>(<issue>33</issue>):<fpage>5171</fpage>&#x02013;<lpage>7</lpage>.
<pub-id pub-id-type="doi">10.1016/j.vaccine.2020.06.023</pub-id>.<pub-id pub-id-type="pmid">32580919</pub-id></mixed-citation></ref><ref id="R13"><label>[13]</label><mixed-citation publication-type="webpage"><collab>Centers for Disease Control</collab>.
<source>Flu Vaccination Coverage, United States, 2019&#x02013;20 Influenza Season</source>. <comment><ext-link xlink:href="https://www.cdc.gov/flu/fluvaxview/coverage-1920estimates.htm" ext-link-type="uri">https://www.cdc.gov/flu/fluvaxview/coverage-1920estimates.htm</ext-link>.
Accessed</comment>
<date-in-citation>May 25, 2021</date-in-citation>.</mixed-citation></ref><ref id="R14"><label>[14]</label><mixed-citation publication-type="journal"><name><surname>Black</surname><given-names>S</given-names></name>, <name><surname>Nicolay</surname><given-names>U</given-names></name>, <name><surname>Vesikari</surname><given-names>T</given-names></name>, <name><surname>Knuf</surname><given-names>M</given-names></name>, <name><surname>Del Giudice</surname><given-names>G</given-names></name>, <name><surname>Della Cioppa</surname><given-names>G</given-names></name>, <etal/>
<article-title>Hemagglutination inhibition antibody titers as a correlate of
protection for inactivated influenza vaccines in children</article-title>.
<source>Pediatr Infect Dis J</source>. <year>2011</year>;<volume>30</volume>
(<issue>12</issue>):<fpage>1081</fpage>&#x02013;<lpage>5</lpage>.
<pub-id pub-id-type="doi">10.1097/INF.0b013e3182367662</pub-id>.<pub-id pub-id-type="pmid">21983214</pub-id></mixed-citation></ref><ref id="R15"><label>[15]</label><mixed-citation publication-type="journal"><name><surname>Hinojosa</surname><given-names>M</given-names></name>, <name><surname>Shepard</surname><given-names>SS</given-names></name>, <name><surname>Chung</surname><given-names>JR</given-names></name>, <name><surname>King</surname><given-names>JP</given-names></name>, <name><surname>McLean</surname><given-names>HQ</given-names></name>, <name><surname>Flannery</surname><given-names>B</given-names></name>, <etal/>
<article-title>Impact of Immune Priming, Vaccination, and Infection on Influenza
A(H3N2) Antibody Landscapes in Children</article-title>. <source>J Infect Dis</source>
<year>2021</year>;<volume>224</volume>:<fpage>469</fpage>&#x02013;<lpage>80</lpage>.
<pub-id pub-id-type="doi">10.1093/infdis/jiaa665</pub-id>.<pub-id pub-id-type="pmid">33090202</pub-id></mixed-citation></ref><ref id="R16"><label>[16]</label><mixed-citation publication-type="journal"><name><surname>Zost</surname><given-names>SJ</given-names></name>, <name><surname>Parkhouse</surname><given-names>K</given-names></name>, <name><surname>Gumina</surname><given-names>ME</given-names></name>, <name><surname>Kim</surname><given-names>K</given-names></name>, <name><surname>Perez</surname><given-names>SD</given-names></name>, <name><surname>Wilson</surname><given-names>PC</given-names></name>, <etal/>
<article-title>Contemporary H3N2 influenza viruses have a glycosylation site
that alters binding of antibodies elicited by egg-adapted vaccine
strains</article-title>. <source>Proceedings of the National Academy of Sciences of the United States of America</source>.
<year>2017</year>;<volume>114</volume>. <pub-id pub-id-type="doi">10.1073/pnas.1712377114</pub-id>.</mixed-citation></ref><ref id="R17"><label>[17]</label><mixed-citation publication-type="journal"><name><surname>Rockman</surname><given-names>S</given-names></name>, <name><surname>Laurie</surname><given-names>KL</given-names></name>, <name><surname>Parkes</surname><given-names>S</given-names></name>, <name><surname>Wheatley</surname><given-names>A</given-names></name>, <name><surname>Barr</surname><given-names>IG</given-names></name>. <article-title>New Technologies for Influenza Vaccines</article-title>.
<source>Microorganisms</source>.
<year>2020</year>;<volume>8</volume>:<fpage>45</fpage>&#x02013;<lpage>58</lpage>.
<pub-id pub-id-type="doi">10.3390/microorganisms8111745</pub-id>.</mixed-citation></ref><ref id="R18"><label>[18]</label><mixed-citation publication-type="journal"><name><surname>Mohn</surname><given-names>K-I</given-names></name>, <name><surname>Smith</surname><given-names>I</given-names></name>, <name><surname>Sjursen</surname><given-names>H</given-names></name>, <name><surname>Cox</surname><given-names>RJ</given-names></name>. <article-title>Immune responses after live attenuated influenza
vaccination</article-title>. <source>Hum Vaccin Immunother</source>.
<year>2018</year>;<volume>14</volume>(<issue>3</issue>):<fpage>571</fpage>&#x02013;<lpage>8</lpage>.
<pub-id pub-id-type="doi">10.1080/21645515.2017.1377376</pub-id>.<pub-id pub-id-type="pmid">28933664</pub-id></mixed-citation></ref><ref id="R19"><label>[19]</label><mixed-citation publication-type="journal"><name><surname>Brickley</surname><given-names>EB</given-names></name>, <name><surname>Wright</surname><given-names>PF</given-names></name>, <name><surname>Khalenkov</surname><given-names>A</given-names></name>, <name><surname>Neuzil</surname><given-names>KM</given-names></name>, <name><surname>Ortiz</surname><given-names>JR</given-names></name>, <name><surname>Rudenko</surname><given-names>L</given-names></name>, <etal/>
<article-title>The Effect of Preexisting Immunity on Virus Detection and Immune
Responses in a Phase II, Randomized Trial of a Russian-Backbone, Live,
Attenuated Influenza Vaccine in Bangladeshi Children</article-title>.
<source>Clin Infect Dis</source>
(<year>2019</year>);<volume>69</volume>:<fpage>786</fpage>&#x02013;<lpage>94</lpage>.
<pub-id pub-id-type="doi">10.1093/cid/ciy1004</pub-id>.<pub-id pub-id-type="pmid">30481269</pub-id></mixed-citation></ref><ref id="R20"><label>[20]</label><mixed-citation publication-type="journal"><name><surname>Cole</surname><given-names>KS</given-names></name>, <name><surname>Martin</surname><given-names>JM</given-names></name>, <name><surname>Horne</surname><given-names>WT</given-names></name>, <name><surname>Lin</surname><given-names>CJ</given-names></name>, <name><surname>Nowalk</surname><given-names>MP</given-names></name>, <name><surname>Alcorn</surname><given-names>JF</given-names></name>, <etal/>
<article-title>Differential gene expression elicited by children in response to
the 2015&#x02013;16 live attenuated versus inactivated influenza
vaccine</article-title>. <source>Vaccine</source>
<year>2017</year>;<volume>35</volume>(<issue>49</issue>):<fpage>6893</fpage>&#x02013;<lpage>7</lpage>.<pub-id pub-id-type="pmid">29132989</pub-id></mixed-citation></ref></ref-list></back><floats-group><fig position="float" id="F1"><label>Fig. 1.</label><caption><p id="P52">CONSORT 2010 Flow Diagram.</p></caption><graphic xlink:href="nihms-1766487-f0001" position="float"/></fig><fig position="float" id="F2"><label>Fig. 2.</label><caption><p id="P53">Pre- and post-vaccination GMT hemagglutination inhibition (HAI) assay
titers by vaccine type. Data are day 0 (light) and day 28 (dark) with 95%
confidence Intervals (CI), GMFR with 95% CI is shown horizontally above bars.
Within each vaccine type, HAI titers were higher at day 28 than day 0 (p
&#x0003c; 0.001) except for B/Phuket in LAIV4 recipients. Between vaccine types,
HAI titers at day 28 and GMFR were higher for ccIIV4 for all antigens (p
&#x0003c; 0.001).</p></caption><graphic xlink:href="nihms-1766487-f0002" position="float"/></fig><fig position="float" id="F3"><label>Fig. 3a.</label><caption><p id="P54">Hemagglutination inhibition (HAI) titers for influenza A antigens on day
0 and day 28 for ccIIV4 (left) and LAIV4 (right). Identical day 0 and day 28
titers fall on the dotted line. Data points above the line represent an increase
in HAI at day 28 and data points below represent a decrease.</p></caption><graphic xlink:href="nihms-1766487-f0003" position="float"/></fig><fig position="float" id="F4"><label>Fig. 3b.</label><caption><p id="P55">Hemagglutination inhibition (HAI) titers for influenza B antigens on day
0 and day 28 for ccIIV4 (left) and LAIV4 (right). Identical day 0 and day 28
titers fall on the dotted line. Data points above the line represent an increase
in HAI at day 28 and data points below represent a decrease.</p></caption><graphic xlink:href="nihms-1766487-f0004" position="float"/></fig><table-wrap position="float" id="T1" orientation="landscape"><label>Table 1</label><caption><p id="P56">Demographics by 2019&#x02013;20 influenza vaccine type received.</p></caption><table frame="hsides" rules="groups"><colgroup span="1"><col align="left" valign="middle" span="1"/><col align="left" valign="middle" span="1"/><col align="left" valign="middle" span="1"/><col align="left" valign="middle" span="1"/><col align="left" valign="middle" span="1"/></colgroup><thead><tr><th align="left" valign="top" rowspan="1" colspan="1">Variable</th><th align="center" valign="top" rowspan="1" colspan="1">Overall<break/>N = 198</th><th align="center" valign="top" rowspan="1" colspan="1">ccIIV4<break/>N = 100</th><th align="center" valign="top" rowspan="1" colspan="1">LAIV4<break/>N = 98</th><th align="center" valign="top" rowspan="1" colspan="1">p-value<xref rid="TFN1" ref-type="table-fn">*</xref></th></tr></thead><tbody><tr><td align="left" valign="top" rowspan="1" colspan="1">Age (years), median (Q1, Q3)</td><td align="center" valign="top" rowspan="1" colspan="1">18.3 (14.6&#x02013;20.5)</td><td align="center" valign="top" rowspan="1" colspan="1">18.1 (14.7&#x02013;20.4)</td><td align="center" valign="top" rowspan="1" colspan="1">18.4 (14.3&#x02013;20.7)</td><td align="center" valign="top" rowspan="1" colspan="1">0.61</td></tr><tr><td align="left" valign="top" rowspan="1" colspan="1">Age</td><td align="center" valign="top" rowspan="1" colspan="1"/><td align="center" valign="top" rowspan="1" colspan="1"/><td align="center" valign="top" rowspan="1" colspan="1"/><td align="center" valign="top" rowspan="1" colspan="1">0.75</td></tr><tr><td align="left" valign="top" rowspan="1" colspan="1">&#x02003;4&#x02013;11 years</td><td align="center" valign="top" rowspan="1" colspan="1">31 (15.7)</td><td align="center" valign="top" rowspan="1" colspan="1">17 (17.0)</td><td align="center" valign="top" rowspan="1" colspan="1">14 (14.3)</td><td align="center" valign="top" rowspan="1" colspan="1"/></tr><tr><td align="left" valign="top" rowspan="1" colspan="1">&#x02003;12&#x02013;17 years</td><td align="center" valign="top" rowspan="1" colspan="1">59 (27.8)</td><td align="center" valign="top" rowspan="1" colspan="1">31 (31.0)</td><td align="center" valign="top" rowspan="1" colspan="1">28 (28.6)</td><td align="center" valign="top" rowspan="1" colspan="1"/></tr><tr><td align="left" valign="top" rowspan="1" colspan="1">&#x02003;18&#x02013;21 years</td><td align="center" valign="top" rowspan="1" colspan="1">108 (54.5)</td><td align="center" valign="top" rowspan="1" colspan="1">52 (52.0)</td><td align="center" valign="top" rowspan="1" colspan="1">56 (57.1)</td><td align="center" valign="top" rowspan="1" colspan="1"/></tr><tr><td align="left" valign="top" rowspan="1" colspan="1">Female (ref. = male), n (%)</td><td align="center" valign="top" rowspan="1" colspan="1">124 (62.6)</td><td align="center" valign="top" rowspan="1" colspan="1">64 (64.0)</td><td align="center" valign="top" rowspan="1" colspan="1">60 (61.2)</td><td align="center" valign="top" rowspan="1" colspan="1">0.69</td></tr><tr><td align="left" valign="top" rowspan="1" colspan="1">Non-white race (ref. = white), n (%)</td><td align="center" valign="top" rowspan="1" colspan="1">95 (48.0)</td><td align="center" valign="top" rowspan="1" colspan="1">43 (43.0)</td><td align="center" valign="top" rowspan="1" colspan="1">52 (53.1)</td><td align="center" valign="top" rowspan="1" colspan="1">0.16</td></tr><tr><td align="left" valign="top" rowspan="1" colspan="1">Non-Hispanic (ref. = Hispanic), n (%)</td><td align="center" valign="top" rowspan="1" colspan="1">184 (92.9)</td><td align="center" valign="top" rowspan="1" colspan="1">95 (95.0)</td><td align="center" valign="top" rowspan="1" colspan="1">89 (90.8)</td><td align="center" valign="top" rowspan="1" colspan="1">0.11</td></tr><tr><td align="left" valign="top" rowspan="1" colspan="1">Parental education &#x0003c; some college
(ref.=&#x02265;college), n (%)</td><td align="center" valign="top" rowspan="1" colspan="1">122 (61.6)</td><td align="center" valign="top" rowspan="1" colspan="1">62 (62.0)</td><td align="center" valign="top" rowspan="1" colspan="1">60 (61.2)</td><td align="center" valign="top" rowspan="1" colspan="1">0.99</td></tr><tr><td align="left" valign="top" rowspan="1" colspan="1">Public health insurance (ref. = other
insurance), n (%)</td><td align="center" valign="top" rowspan="1" colspan="1">95 (48.0)</td><td align="center" valign="top" rowspan="1" colspan="1">48 (48.0)</td><td align="center" valign="top" rowspan="1" colspan="1">47 (48.0)</td><td align="center" valign="top" rowspan="1" colspan="1">0.87</td></tr><tr><td align="left" valign="top" rowspan="1" colspan="1">Exposed to household smoking (ref. = no smoke
exposure), n (%)</td><td align="center" valign="top" rowspan="1" colspan="1">28 (14.1)</td><td align="center" valign="top" rowspan="1" colspan="1">15 (15.0)</td><td align="center" valign="top" rowspan="1" colspan="1">13 (13.3)</td><td align="center" valign="top" rowspan="1" colspan="1">0.68</td></tr><tr><td align="left" valign="top" rowspan="1" colspan="1">Obese (ref. = non-obese), n (%)</td><td align="center" valign="top" rowspan="1" colspan="1">31 (15.7)</td><td align="center" valign="top" rowspan="1" colspan="1">13 (13.0)</td><td align="center" valign="top" rowspan="1" colspan="1">18 (18.4)</td><td align="center" valign="top" rowspan="1" colspan="1">0.28</td></tr><tr><td align="left" valign="top" rowspan="1" colspan="1">2018 influenza vaccine status</td><td align="center" valign="top" rowspan="1" colspan="1"/><td align="center" valign="top" rowspan="1" colspan="1"/><td align="center" valign="top" rowspan="1" colspan="1"/><td align="center" valign="top" rowspan="1" colspan="1">0.48</td></tr><tr><td align="left" valign="top" rowspan="1" colspan="1">&#x02003;Vaccinated</td><td align="center" valign="top" rowspan="1" colspan="1">98 (49.5)</td><td align="center" valign="top" rowspan="1" colspan="1">52 (52.0)</td><td align="center" valign="top" rowspan="1" colspan="1">46 (46.9)</td><td align="center" valign="top" rowspan="1" colspan="1"/></tr><tr><td align="left" valign="top" rowspan="1" colspan="1">&#x02003;Not vaccinated/no record</td><td align="center" valign="top" rowspan="1" colspan="1">100 (50.5)</td><td align="center" valign="top" rowspan="1" colspan="1">48 (48.0)</td><td align="center" valign="top" rowspan="1" colspan="1">52 (53.1)</td><td align="center" valign="top" rowspan="1" colspan="1"/></tr></tbody></table><table-wrap-foot><fn id="TFN1"><label>*</label><p id="P57">Wilcoxon ranked sum for continuous variables,
chi-square/Fisher&#x02019;s Exact for categorical variables.</p></fn><fn id="TFN2"><p id="P58">Nonwhite race = AIAN, Asian, Black, NHPI, multi-race.</p></fn><fn id="TFN3"><p id="P59">Other insurance = Private, non-insured, combined private and public
insurance.</p></fn><fn id="TFN4"><p id="P60">Obesity defined as &#x02265; 95th percentile for BMI if &#x0003c; 20
years or BMI &#x02265; 30 if &#x02265; 20 years.</p></fn><fn id="TFN5"><p id="P61">ccIIV4 = cell-based quadrivalent inactivated influenza vaccine.</p></fn><fn id="TFN6"><p id="P62">LAIV4 = egg-based quadrivalent live-attenuated influenza
vaccine.</p></fn></table-wrap-foot></table-wrap><table-wrap position="float" id="T2" orientation="landscape"><label>Table 2</label><caption><p id="P63">Pre- and post vaccination hemagglutination inhibition (HAI) assay titer
responses by vaccine type.</p></caption><table frame="hsides" rules="groups"><colgroup span="1"><col align="left" valign="middle" span="1"/><col align="left" valign="middle" span="1"/><col align="left" valign="middle" span="1"/><col align="left" valign="middle" span="1"/></colgroup><thead><tr><th align="left" valign="top" rowspan="1" colspan="1"/><th align="left" valign="top" rowspan="1" colspan="1">ccIIV4<break/>N = 100</th><th align="left" valign="top" rowspan="1" colspan="1">LAIV4<break/>N = 98</th><th align="center" valign="top" rowspan="1" colspan="1">p-value<xref rid="TFN8" ref-type="table-fn">*</xref></th></tr></thead><tbody><tr><td align="left" valign="top" rowspan="1" colspan="1">
<italic toggle="yes">A/H1N1-A/Brisbane Egg Grown
Virus</italic>
</td><td align="center" valign="top" rowspan="1" colspan="1"/><td align="center" valign="top" rowspan="1" colspan="1"/><td align="center" valign="top" rowspan="1" colspan="1"/></tr><tr><td align="left" valign="top" rowspan="1" colspan="1">Day 0 HAI GMT (95% CI)</td><td align="center" valign="top" rowspan="1" colspan="1">90 (73&#x02013;111)</td><td align="center" valign="top" rowspan="1" colspan="1">94 (77&#x02013;116)</td><td align="center" valign="top" rowspan="1" colspan="1">0.79</td></tr><tr><td align="left" valign="top" rowspan="1" colspan="1">Day 28 HAI GMT (95% CI)</td><td align="center" valign="top" rowspan="1" colspan="1">269 (228&#x02013;317)<sup><xref rid="TFN9" ref-type="table-fn">&#x02020;</xref></sup></td><td align="center" valign="top" rowspan="1" colspan="1">108 (89&#x02013;132)<sup><xref rid="TFN9" ref-type="table-fn">&#x02020;</xref></sup></td><td align="center" valign="top" rowspan="1" colspan="1">
<bold>&#x0003c;0.001</bold>
</td></tr><tr><td align="left" valign="top" rowspan="1" colspan="1">Mean fold-rise in HAI titer (95% CI)</td><td align="center" valign="top" rowspan="1" colspan="1">3.0 (2.5&#x02013;3.6)</td><td align="center" valign="top" rowspan="1" colspan="1">1.1 (1.0&#x02013;1.3)</td><td align="center" valign="top" rowspan="1" colspan="1">
<bold>&#x0003c;0.001</bold>
</td></tr><tr><td align="left" valign="top" rowspan="1" colspan="1">Seroconversion &#x02265; 1:40, n (%)</td><td align="center" valign="top" rowspan="1" colspan="1">33 (33.0)</td><td align="center" valign="top" rowspan="1" colspan="1">5 (5.1)</td><td align="center" valign="top" rowspan="1" colspan="1">
<bold>&#x0003c;0.001</bold>
</td></tr><tr><td align="left" valign="top" rowspan="1" colspan="1">Day 0 HAI titer &#x02265; 1:40, n (%)</td><td align="center" valign="top" rowspan="1" colspan="1">83 (83.0)</td><td align="center" valign="top" rowspan="1" colspan="1">79 (80.6)</td><td align="center" valign="top" rowspan="1" colspan="1">0.66</td></tr><tr><td align="left" valign="top" rowspan="1" colspan="1">Day 28 HAI titer &#x02265; 1:40, n (%)</td><td align="center" valign="top" rowspan="1" colspan="1">96 (96.0)</td><td align="center" valign="top" rowspan="1" colspan="1">85 (86.7)</td><td align="center" valign="top" rowspan="1" colspan="1">
<bold>0.02</bold>
</td></tr><tr><td align="left" valign="top" rowspan="1" colspan="1">Seroconversion &#x02265; 1:110, n (%)</td><td align="center" valign="top" rowspan="1" colspan="1">31 (31.0)</td><td align="center" valign="top" rowspan="1" colspan="1">5 (5.1)</td><td align="center" valign="top" rowspan="1" colspan="1">&#x0003c;0.001</td></tr><tr><td align="left" valign="top" rowspan="1" colspan="1">Day 0 HAI titer &#x02265; 1:110, n (%)</td><td align="center" valign="top" rowspan="1" colspan="1">61 (61.0)</td><td align="center" valign="top" rowspan="1" colspan="1">54 (55.1)</td><td align="center" valign="top" rowspan="1" colspan="1">0.40</td></tr><tr><td align="left" valign="top" rowspan="1" colspan="1">Day 28 HAI titer &#x02265; 1:110, n (%)</td><td align="center" valign="top" rowspan="1" colspan="1">93 (93.0)</td><td align="center" valign="top" rowspan="1" colspan="1">58 (59.2)</td><td align="center" valign="top" rowspan="1" colspan="1">
<bold>&#x0003c;0.001</bold>
</td></tr><tr><td align="left" valign="top" rowspan="1" colspan="1">
<italic toggle="yes">A/H3N2-A/Kansas Egg Grown
Virus</italic>
</td><td align="center" valign="top" rowspan="1" colspan="1"/><td align="center" valign="top" rowspan="1" colspan="1"/><td align="center" valign="top" rowspan="1" colspan="1"/></tr><tr><td align="left" valign="top" rowspan="1" colspan="1">Day 0 HAI GMT (95% CI)</td><td align="center" valign="top" rowspan="1" colspan="1">78 (66&#x02013;95)</td><td align="center" valign="top" rowspan="1" colspan="1">75 (64&#x02013;89)</td><td align="center" valign="top" rowspan="1" colspan="1">0.79</td></tr><tr><td align="left" valign="top" rowspan="1" colspan="1">Day 28 HAI GMT (95% CI)</td><td align="center" valign="top" rowspan="1" colspan="1">205 (178&#x02013;237)<sup><xref rid="TFN9" ref-type="table-fn">&#x02020;</xref></sup></td><td align="center" valign="top" rowspan="1" colspan="1">96 (83&#x02013;112)<sup><xref rid="TFN9" ref-type="table-fn">&#x02020;</xref></sup></td><td align="center" valign="top" rowspan="1" colspan="1">
<bold>&#x0003c;0.001</bold>
</td></tr><tr><td align="left" valign="top" rowspan="1" colspan="1">Mean fold-rise in HAI titer (95% CI)</td><td align="center" valign="top" rowspan="1" colspan="1">2.6 (2.2&#x02013;3.1)</td><td align="center" valign="top" rowspan="1" colspan="1">1.3 (1.1&#x02013;1.4)</td><td align="center" valign="top" rowspan="1" colspan="1">
<bold>&#x0003c;0.001</bold>
</td></tr><tr><td align="left" valign="top" rowspan="1" colspan="1">Seroconversion &#x02265; 1:40, n (%)</td><td align="center" valign="top" rowspan="1" colspan="1">44 (44.0)</td><td align="center" valign="top" rowspan="1" colspan="1">11 (11.2)</td><td align="center" valign="top" rowspan="1" colspan="1">
<bold>&#x0003c;0.001</bold>
</td></tr><tr><td align="left" valign="top" rowspan="1" colspan="1">Day 0 HAI titer &#x02265; 1:40, n (%)</td><td align="center" valign="top" rowspan="1" colspan="1">85 (85.0)</td><td align="center" valign="top" rowspan="1" colspan="1">83 (84.0)</td><td align="center" valign="top" rowspan="1" colspan="1">0.95</td></tr><tr><td align="left" valign="top" rowspan="1" colspan="1">Day 28 HAI titer &#x02265; 1:40, n (%)</td><td align="center" valign="top" rowspan="1" colspan="1">99 (99.0)</td><td align="center" valign="top" rowspan="1" colspan="1">90 (91.8)</td><td align="center" valign="top" rowspan="1" colspan="1">
<bold>0.02</bold>
</td></tr><tr><td align="left" valign="top" rowspan="1" colspan="1">Seroconversion &#x02265; 1:110, n (%)</td><td align="center" valign="top" rowspan="1" colspan="1">39 (39.0)</td><td align="center" valign="top" rowspan="1" colspan="1">8 (8.2)</td><td align="center" valign="top" rowspan="1" colspan="1">&#x0003c;0.001</td></tr><tr><td align="left" valign="top" rowspan="1" colspan="1">Day 0 HAI titer &#x02265; 1:110, n (%)</td><td align="center" valign="top" rowspan="1" colspan="1">41 (41.0)</td><td align="center" valign="top" rowspan="1" colspan="1">34 (34.7)</td><td align="center" valign="top" rowspan="1" colspan="1">0.36</td></tr><tr><td align="left" valign="top" rowspan="1" colspan="1">Day 28 HAI titer &#x02265; 1:110, n (%)</td><td align="center" valign="top" rowspan="1" colspan="1">77 (77.0)</td><td align="center" valign="top" rowspan="1" colspan="1">41 (41.8)</td><td align="center" valign="top" rowspan="1" colspan="1">
<bold>&#x0003c;0.001</bold>
</td></tr><tr><td align="left" valign="top" rowspan="1" colspan="1">
<italic toggle="yes">A/H3N2-A/Kansas Cell Grown
Virus</italic>
</td><td align="center" valign="top" rowspan="1" colspan="1"/><td align="center" valign="top" rowspan="1" colspan="1"/><td align="center" valign="top" rowspan="1" colspan="1"/></tr><tr><td align="left" valign="top" rowspan="1" colspan="1">Day 0 HAI GMT (95% CI)</td><td align="center" valign="top" rowspan="1" colspan="1">46 (38&#x02013;55)</td><td align="center" valign="top" rowspan="1" colspan="1">50 (43&#x02013;58)</td><td align="center" valign="top" rowspan="1" colspan="1">0.56</td></tr><tr><td align="left" valign="top" rowspan="1" colspan="1">Day 28 HAI GMT (95% CI)</td><td align="center" valign="top" rowspan="1" colspan="1">136 (113&#x02013;165)<sup><xref rid="TFN9" ref-type="table-fn">&#x02020;</xref></sup></td><td align="center" valign="top" rowspan="1" colspan="1">63 (58&#x02013;74)<sup><xref rid="TFN9" ref-type="table-fn">&#x02020;</xref></sup></td><td align="center" valign="top" rowspan="1" colspan="1">
<bold>&#x0003c;0.001</bold>
</td></tr><tr><td align="left" valign="top" rowspan="1" colspan="1">Mean fold-rise in HAI titer (95% CI)</td><td align="center" valign="top" rowspan="1" colspan="1">3.0 (2.5&#x02013;3.6)</td><td align="center" valign="top" rowspan="1" colspan="1">1.3 (1.1&#x02013;1.4)</td><td align="center" valign="top" rowspan="1" colspan="1">
<bold>&#x0003c;0.001</bold>
</td></tr><tr><td align="left" valign="top" rowspan="1" colspan="1">Seroconversion &#x02265; 1:40, n (%)</td><td align="center" valign="top" rowspan="1" colspan="1">47 (47.0)</td><td align="center" valign="top" rowspan="1" colspan="1">8 (8.2)</td><td align="center" valign="top" rowspan="1" colspan="1">
<bold>&#x0003c;0.001</bold>
</td></tr><tr><td align="left" valign="top" rowspan="1" colspan="1">Day 0 HAI titer &#x02265; 1:40, n (%)</td><td align="center" valign="top" rowspan="1" colspan="1">72 (72.0)</td><td align="center" valign="top" rowspan="1" colspan="1">81 (82.7)</td><td align="center" valign="top" rowspan="1" colspan="1">0.07</td></tr><tr><td align="left" valign="top" rowspan="1" colspan="1">Day 28 HAI titer &#x02265; 1:40, n (%)</td><td align="center" valign="top" rowspan="1" colspan="1">93 (93.0)</td><td align="center" valign="top" rowspan="1" colspan="1">80 (81.6)</td><td align="center" valign="top" rowspan="1" colspan="1">
<bold>0.02</bold>
</td></tr><tr><td align="left" valign="top" rowspan="1" colspan="1">Seroconversion &#x02265; 1:110, n (%)</td><td align="center" valign="top" rowspan="1" colspan="1">35 (35.0)</td><td align="center" valign="top" rowspan="1" colspan="1">6 (6.1)</td><td align="center" valign="top" rowspan="1" colspan="1">&#x0003c;0.001</td></tr><tr><td align="left" valign="top" rowspan="1" colspan="1">Day 0 HAI titer &#x02265; 1:110, n (%)</td><td align="center" valign="top" rowspan="1" colspan="1">24 (24.0)</td><td align="center" valign="top" rowspan="1" colspan="1">14 (14.3)</td><td align="center" valign="top" rowspan="1" colspan="1">0.08</td></tr><tr><td align="left" valign="top" rowspan="1" colspan="1">Day 28 HAI titer &#x02265; 1:110, n (%)</td><td align="center" valign="top" rowspan="1" colspan="1">65 (65.0)</td><td align="center" valign="top" rowspan="1" colspan="1">26 (26.5)</td><td align="center" valign="top" rowspan="1" colspan="1">
<bold>&#x0003c;0.001</bold>
</td></tr><tr><td align="left" valign="top" rowspan="1" colspan="1">
<italic toggle="yes">B/Victoria-B/Colorado Egg Grown
Virus</italic>
</td><td align="center" valign="top" rowspan="1" colspan="1"/><td align="center" valign="top" rowspan="1" colspan="1"/><td align="center" valign="top" rowspan="1" colspan="1"/></tr><tr><td align="left" valign="top" rowspan="1" colspan="1">Day 0 HAI GMT (95% CI)</td><td align="center" valign="top" rowspan="1" colspan="1">65 (53&#x02013;79)</td><td align="center" valign="top" rowspan="1" colspan="1">65 (53&#x02013;81)</td><td align="center" valign="top" rowspan="1" colspan="1">0.95</td></tr><tr><td align="left" valign="top" rowspan="1" colspan="1">Day 28 HAI GMT (95% CI)</td><td align="center" valign="top" rowspan="1" colspan="1">158 (134&#x02013;186)<sup><xref rid="TFN9" ref-type="table-fn">&#x02020;</xref></sup></td><td align="center" valign="top" rowspan="1" colspan="1">78 (64&#x02013;94)<sup><xref rid="TFN9" ref-type="table-fn">&#x02020;</xref></sup></td><td align="center" valign="top" rowspan="1" colspan="1">
<bold>&#x0003c;0.001</bold>
</td></tr><tr><td align="left" valign="top" rowspan="1" colspan="1">Mean fold-rise in HAI titer (95% CI)</td><td align="center" valign="top" rowspan="1" colspan="1">2.4 (2.0&#x02013;2.9)</td><td align="center" valign="top" rowspan="1" colspan="1">1.2 (1.0&#x02013;1.4)</td><td align="center" valign="top" rowspan="1" colspan="1">
<bold>&#x0003c;0.001</bold>
</td></tr><tr><td align="left" valign="top" rowspan="1" colspan="1">Seroconversion &#x02265; 1:40, n (%)</td><td align="center" valign="top" rowspan="1" colspan="1">28 (28.0)</td><td align="center" valign="top" rowspan="1" colspan="1">9 (9.2)</td><td align="center" valign="top" rowspan="1" colspan="1">
<bold>&#x0003c;0.001</bold>
</td></tr><tr><td align="left" valign="top" rowspan="1" colspan="1">Day 0 HAI titer &#x02265; 1:40, n (%)</td><td align="center" valign="top" rowspan="1" colspan="1">75 (75.0)</td><td align="center" valign="top" rowspan="1" colspan="1">72 (73.5)</td><td align="center" valign="top" rowspan="1" colspan="1">0.81</td></tr><tr><td align="left" valign="top" rowspan="1" colspan="1">Day 28 HAI titer &#x02265; 1:40, n (%)</td><td align="center" valign="top" rowspan="1" colspan="1">96 (96.0)</td><td align="center" valign="top" rowspan="1" colspan="1">79 (80.6)</td><td align="center" valign="top" rowspan="1" colspan="1">
<bold>&#x0003c;0.001</bold>
</td></tr><tr><td align="left" valign="top" rowspan="1" colspan="1">Seroconversion &#x02265; 1:110, n (%)</td><td align="center" valign="top" rowspan="1" colspan="1">22 (22.0)</td><td align="center" valign="top" rowspan="1" colspan="1">5 (5.1)</td><td align="center" valign="top" rowspan="1" colspan="1">
<bold>&#x0003c;0.001</bold>
</td></tr><tr><td align="left" valign="top" rowspan="1" colspan="1">Day 0 HAI titer &#x02265; 1:110, n (%)</td><td align="center" valign="top" rowspan="1" colspan="1">34 (34.0)</td><td align="center" valign="top" rowspan="1" colspan="1">34 (34.7)</td><td align="center" valign="top" rowspan="1" colspan="1">0.91</td></tr><tr><td align="left" valign="top" rowspan="1" colspan="1">Day 28 HAI titer &#x02265; 1:110, n (%)</td><td align="center" valign="top" rowspan="1" colspan="1">71 (71.0)</td><td align="center" valign="top" rowspan="1" colspan="1">36 (36.7)</td><td align="center" valign="top" rowspan="1" colspan="1">
<bold>&#x0003c;0.001</bold>
</td></tr><tr><td align="left" valign="top" rowspan="1" colspan="1">B/Yamagata-B/Phuket Egg Grown Virus</td><td align="center" valign="top" rowspan="1" colspan="1"/><td align="center" valign="top" rowspan="1" colspan="1"/><td align="center" valign="top" rowspan="1" colspan="1"/></tr><tr><td align="left" valign="top" rowspan="1" colspan="1">Day 0 HAI GMT (95% CI)</td><td align="center" valign="top" rowspan="1" colspan="1">89 (74&#x02013;107)</td><td align="center" valign="top" rowspan="1" colspan="1">101 (83&#x02013;122)</td><td align="center" valign="top" rowspan="1" colspan="1">0.44</td></tr><tr><td align="left" valign="top" rowspan="1" colspan="1">Day 28 HAI GMT (95% CI)</td><td align="center" valign="top" rowspan="1" colspan="1">215 (191&#x02013;241)<sup><xref rid="TFN9" ref-type="table-fn">&#x02020;</xref></sup></td><td align="center" valign="top" rowspan="1" colspan="1">107 (90&#x02013;128)</td><td align="center" valign="top" rowspan="1" colspan="1">
<bold>&#x0003c;0.001</bold>
</td></tr><tr><td align="left" valign="top" rowspan="1" colspan="1">Mean fold-rise in HAI titer (95% CI)</td><td align="center" valign="top" rowspan="1" colspan="1">2.4 (2.0&#x02013;2.9)</td><td align="center" valign="top" rowspan="1" colspan="1">1.1 (1.0&#x02013;1.2)</td><td align="center" valign="top" rowspan="1" colspan="1">
<bold>&#x0003c;0.001</bold>
</td></tr><tr><td align="left" valign="top" rowspan="1" colspan="1">Seroconversion &#x02265; 1:40, n (%)</td><td align="center" valign="top" rowspan="1" colspan="1">29 (29.0)</td><td align="center" valign="top" rowspan="1" colspan="1">4 (4.1)</td><td align="center" valign="top" rowspan="1" colspan="1">
<bold>&#x0003c;0.001</bold>
</td></tr><tr><td align="left" valign="top" rowspan="1" colspan="1">Day 0 HAI titer &#x02265; 1:40, n (%)</td><td align="center" valign="top" rowspan="1" colspan="1">86 (86.0)</td><td align="center" valign="top" rowspan="1" colspan="1">84 (85.7)</td><td align="center" valign="top" rowspan="1" colspan="1">0.95</td></tr><tr><td align="left" valign="top" rowspan="1" colspan="1">Day 28 HAI titer &#x02265; 1:40, n (%)</td><td align="center" valign="top" rowspan="1" colspan="1">100 (100)</td><td align="center" valign="top" rowspan="1" colspan="1">89 (90.8)</td><td align="center" valign="top" rowspan="1" colspan="1">
<bold>0.002</bold>
</td></tr><tr><td align="left" valign="top" rowspan="1" colspan="1">Seroconversion &#x02265; 1:110, n (%)</td><td align="center" valign="top" rowspan="1" colspan="1">26 (26.0)</td><td align="center" valign="top" rowspan="1" colspan="1">4 (4.1)</td><td align="center" valign="top" rowspan="1" colspan="1">&#x0003c;0.001</td></tr><tr><td align="left" valign="top" rowspan="1" colspan="1">Day 0 HAI titer &#x02265; 1:110, n (%)</td><td align="center" valign="top" rowspan="1" colspan="1">51 (51.0)</td><td align="center" valign="top" rowspan="1" colspan="1">57 (58.2)</td><td align="center" valign="top" rowspan="1" colspan="1">0.31</td></tr><tr><td align="left" valign="top" rowspan="1" colspan="1">Day 28 HAI titer &#x02265; 1:110, n (%)</td><td align="center" valign="top" rowspan="1" colspan="1">84 (84.0)</td><td align="center" valign="top" rowspan="1" colspan="1">57 (58.2)</td><td align="center" valign="top" rowspan="1" colspan="1">
<bold>&#x0003c;0.001</bold>
</td></tr></tbody></table><table-wrap-foot><fn id="TFN7"><p id="P64">ccIIV4 = cell-based quadrivalent inactivated influenza vaccine;
LAIV4 = egg-based quadrivalent live-attenuated influenza vaccine; GMT =
geometric mean titer; CI = confidence interval; Seroconversion = HAI titer
ratio of day 28/day 0 &#x02265; 4 and HAI titer at day 28 &#x02265; 40.
Primary outcome was mean fold-rise in HAI titer.</p></fn><fn id="TFN8"><label>*</label><p id="P65"><italic toggle="yes">t</italic>-test was used to compare log titers by vaccine
type; Chi-square test was used to compare rates.</p></fn><fn id="TFN9"><label>&#x02020;</label><p id="P66">p &#x0003c; 0.05 for paired <italic toggle="yes">t</italic>-test comparison to Day
0 GMT.</p></fn></table-wrap-foot></table-wrap><table-wrap position="float" id="T3" orientation="landscape"><label>Table 3</label><caption><p id="P67">Pre- and post-vaccination hemagglutination inhibition (HAI) assay titer
responses by vaccine type in participants seronegative at baseline based on
seronegative status (Day 0 HAI GMT &#x0003c; 1:40) for each antigen.</p></caption><table frame="hsides" rules="groups"><colgroup span="1"><col align="left" valign="middle" span="1"/><col align="left" valign="middle" span="1"/><col align="left" valign="middle" span="1"/><col align="left" valign="middle" span="1"/></colgroup><thead><tr><th align="left" valign="top" rowspan="1" colspan="1"/><th align="left" valign="top" rowspan="1" colspan="1">ccIIV4</th><th align="left" valign="top" rowspan="1" colspan="1">LAIV4</th><th align="center" valign="top" rowspan="1" colspan="1">p-value<xref rid="TFN11" ref-type="table-fn">*</xref></th></tr></thead><tbody><tr><td align="left" valign="top" rowspan="1" colspan="1">
<italic toggle="yes">A/H1N1-A/Brisbane Egg Grown
Virus</italic>
</td><td align="center" valign="top" rowspan="1" colspan="1"/><td align="center" valign="top" rowspan="1" colspan="1"/><td align="center" valign="top" rowspan="1" colspan="1"/></tr><tr><td align="left" valign="top" rowspan="1" colspan="1">N</td><td align="center" valign="top" rowspan="1" colspan="1">17</td><td align="center" valign="top" rowspan="1" colspan="1">19</td><td align="center" valign="top" rowspan="1" colspan="1"/></tr><tr><td align="left" valign="top" rowspan="1" colspan="1">Day 0 HAI GMT (95% CI)</td><td align="center" valign="top" rowspan="1" colspan="1">9 (7&#x02013;13)</td><td align="center" valign="top" rowspan="1" colspan="1">14 (10&#x02013;19)</td><td align="center" valign="top" rowspan="1" colspan="1">0.72</td></tr><tr><td align="left" valign="top" rowspan="1" colspan="1">Day 28 HAI GMT (95% CI)</td><td align="center" valign="top" rowspan="1" colspan="1">102 (42&#x02013;251)<sup><xref rid="TFN12" ref-type="table-fn">&#x02020;</xref></sup></td><td align="center" valign="top" rowspan="1" colspan="1">24 (13&#x02013;44)<sup><xref rid="TFN12" ref-type="table-fn">&#x02020;</xref></sup></td><td align="center" valign="top" rowspan="1" colspan="1">
<bold>0.007</bold>
</td></tr><tr><td align="left" valign="top" rowspan="1" colspan="1">Mean fold-rise in HAI titer (95% CI)</td><td align="center" valign="top" rowspan="1" colspan="1">11.1 (4.7&#x02013;26.2)</td><td align="center" valign="top" rowspan="1" colspan="1">1.7 (1.0&#x02013;2.9)</td><td align="center" valign="top" rowspan="1" colspan="1">
<bold>&#x0003c;0.001</bold>
</td></tr><tr><td align="left" valign="top" rowspan="1" colspan="1">Seroconversion &#x02265; 1:40, n (%)</td><td align="center" valign="top" rowspan="1" colspan="1">12 (70.6)</td><td align="center" valign="top" rowspan="1" colspan="1">3 (15.9)</td><td align="center" valign="top" rowspan="1" colspan="1">
<bold>&#x0003c;0.001</bold>
</td></tr><tr><td align="left" valign="top" rowspan="1" colspan="1">Seroconversion &#x02265; 1:110, n (%)</td><td align="center" valign="top" rowspan="1" colspan="1">10 (58.8)</td><td align="center" valign="top" rowspan="1" colspan="1">3 (15.8)</td><td align="center" valign="top" rowspan="1" colspan="1">
<bold>0.007</bold>
</td></tr><tr><td align="left" valign="top" rowspan="1" colspan="1">
<italic toggle="yes">A/H3N2-A/Kansas Egg Grown
Virus</italic>
</td><td align="center" valign="top" rowspan="1" colspan="1"/><td align="center" valign="top" rowspan="1" colspan="1"/><td align="center" valign="top" rowspan="1" colspan="1"/></tr><tr><td align="left" valign="top" rowspan="1" colspan="1">N</td><td align="center" valign="top" rowspan="1" colspan="1">15</td><td align="center" valign="top" rowspan="1" colspan="1">15</td><td align="center" valign="top" rowspan="1" colspan="1"/></tr><tr><td align="left" valign="top" rowspan="1" colspan="1">Day 0 HAI GMT (95% CI)</td><td align="center" valign="top" rowspan="1" colspan="1">12 (9&#x02013;17)</td><td align="center" valign="top" rowspan="1" colspan="1">15 (12&#x02013;19)</td><td align="center" valign="top" rowspan="1" colspan="1">0.24</td></tr><tr><td align="left" valign="top" rowspan="1" colspan="1">Day 28 HAI GMT (95% CI)</td><td align="center" valign="top" rowspan="1" colspan="1">88 (46&#x02013;168)<sup><xref rid="TFN12" ref-type="table-fn">&#x02020;</xref></sup></td><td align="center" valign="top" rowspan="1" colspan="1">32 (19&#x02013;55)<sup><xref rid="TFN12" ref-type="table-fn">&#x02020;</xref></sup></td><td align="center" valign="top" rowspan="1" colspan="1">
<bold>0.02</bold>
</td></tr><tr><td align="left" valign="top" rowspan="1" colspan="1">Mean fold-rise in HAI titer (95% CI)</td><td align="center" valign="top" rowspan="1" colspan="1">7.3 (3.5&#x02013;15.2)</td><td align="center" valign="top" rowspan="1" colspan="1">2.1 (1.2&#x02013;3.9)</td><td align="center" valign="top" rowspan="1" colspan="1">
<bold>0.01</bold>
</td></tr><tr><td align="left" valign="top" rowspan="1" colspan="1">Seroconversion &#x02265; 1:40, n (%)</td><td align="center" valign="top" rowspan="1" colspan="1">11 (73.3)</td><td align="center" valign="top" rowspan="1" colspan="1">5 (33.3)</td><td align="center" valign="top" rowspan="1" colspan="1">
<bold>0.03</bold>
</td></tr><tr><td align="left" valign="top" rowspan="1" colspan="1">Seroconversion &#x02265; 1:110, n (%)</td><td align="center" valign="top" rowspan="1" colspan="1">6 (40.0)</td><td align="center" valign="top" rowspan="1" colspan="1">2 (13.3)</td><td align="center" valign="top" rowspan="1" colspan="1">0.10</td></tr><tr><td align="left" valign="top" rowspan="1" colspan="1">
<italic toggle="yes">A/H3N2-A/Kansas Cell Grown
Virus</italic>
</td><td align="center" valign="top" rowspan="1" colspan="1"/><td align="center" valign="top" rowspan="1" colspan="1"/><td align="center" valign="top" rowspan="1" colspan="1"/></tr><tr><td align="left" valign="top" rowspan="1" colspan="1">N</td><td align="center" valign="top" rowspan="1" colspan="1">28</td><td align="center" valign="top" rowspan="1" colspan="1">17</td><td align="center" valign="top" rowspan="1" colspan="1"/></tr><tr><td align="left" valign="top" rowspan="1" colspan="1">Day 0 HAI GMT (95% CI)</td><td align="center" valign="top" rowspan="1" colspan="1">10 (8&#x02013;13)</td><td align="center" valign="top" rowspan="1" colspan="1">11 (8&#x02013;15)</td><td align="center" valign="top" rowspan="1" colspan="1">0.52</td></tr><tr><td align="left" valign="top" rowspan="1" colspan="1">Day 28 HAI GMT (95% CI)</td><td align="center" valign="top" rowspan="1" colspan="1">62 (37&#x02013;107)<sup><xref rid="TFN12" ref-type="table-fn">&#x02020;</xref></sup></td><td align="center" valign="top" rowspan="1" colspan="1">19 (12&#x02013;32)<sup><xref rid="TFN12" ref-type="table-fn">&#x02020;</xref></sup></td><td align="center" valign="top" rowspan="1" colspan="1">
<bold>0.004</bold>
</td></tr><tr><td align="left" valign="top" rowspan="1" colspan="1">Mean fold-rise in HAI titer (95% CI)</td><td align="center" valign="top" rowspan="1" colspan="1">6.2 (3.8&#x02013;10.4)</td><td align="center" valign="top" rowspan="1" colspan="1">1.7 (1.0&#x02013;2.8)</td><td align="center" valign="top" rowspan="1" colspan="1">
<bold>&#x0003c;0.001</bold>
</td></tr><tr><td align="left" valign="top" rowspan="1" colspan="1">Seroconversion &#x02265; 1:40, n (%)</td><td align="center" valign="top" rowspan="1" colspan="1">21 (75.0)</td><td align="center" valign="top" rowspan="1" colspan="1">3 (17.7)</td><td align="center" valign="top" rowspan="1" colspan="1">
<bold>&#x0003c;0.001</bold>
</td></tr><tr><td align="left" valign="top" rowspan="1" colspan="1">Seroconversion &#x02265; 1:110, n (%)</td><td align="center" valign="top" rowspan="1" colspan="1">9 (32.1)</td><td align="center" valign="top" rowspan="1" colspan="1">1 (5.9)</td><td align="center" valign="top" rowspan="1" colspan="1">
<bold>0.04</bold>
</td></tr><tr><td align="left" valign="top" rowspan="1" colspan="1">
<italic toggle="yes">B/Victoria-B/Colorado Egg Grown
Virus</italic>
</td><td align="center" valign="top" rowspan="1" colspan="1"/><td align="center" valign="top" rowspan="1" colspan="1"/><td align="center" valign="top" rowspan="1" colspan="1"/></tr><tr><td align="left" valign="top" rowspan="1" colspan="1">N</td><td align="center" valign="top" rowspan="1" colspan="1">25</td><td align="center" valign="top" rowspan="1" colspan="1">26</td><td align="center" valign="top" rowspan="1" colspan="1"/></tr><tr><td align="left" valign="top" rowspan="1" colspan="1">Day 0 HAI GMT (95% CI)</td><td align="center" valign="top" rowspan="1" colspan="1">14 (10&#x02013;18)</td><td align="center" valign="top" rowspan="1" colspan="1">13 (10&#x02013;16)</td><td align="center" valign="top" rowspan="1" colspan="1">0.69</td></tr><tr><td align="left" valign="top" rowspan="1" colspan="1">Day 28 HAI GMT (95% CI)</td><td align="center" valign="top" rowspan="1" colspan="1">89 (53&#x02013;150)<sup><xref rid="TFN12" ref-type="table-fn">&#x02020;</xref></sup></td><td align="center" valign="top" rowspan="1" colspan="1">29 (18&#x02013;46)<sup><xref rid="TFN12" ref-type="table-fn">&#x02020;</xref></sup></td><td align="center" valign="top" rowspan="1" colspan="1">
<bold>0.001</bold>
</td></tr><tr><td align="left" valign="top" rowspan="1" colspan="1">Mean fold-rise in HAI titer (95% CI)</td><td align="center" valign="top" rowspan="1" colspan="1">6.6 (4.0&#x02013;10.9)</td><td align="center" valign="top" rowspan="1" colspan="1">2.3 (1.4&#x02013;3.6)</td><td align="center" valign="top" rowspan="1" colspan="1">
<bold>0.003</bold>
</td></tr><tr><td align="left" valign="top" rowspan="1" colspan="1">Seroconversion &#x02265; 1:40, n (%)</td><td align="center" valign="top" rowspan="1" colspan="1">16 (64.0)</td><td align="center" valign="top" rowspan="1" colspan="1">7 (26.9)</td><td align="center" valign="top" rowspan="1" colspan="1">
<bold>0.008</bold>
</td></tr><tr><td align="left" valign="top" rowspan="1" colspan="1">Seroconversion &#x02265; 1:110, n (%)</td><td align="center" valign="top" rowspan="1" colspan="1">10 (40.0)</td><td align="center" valign="top" rowspan="1" colspan="1">3 (11.5)</td><td align="center" valign="top" rowspan="1" colspan="1">
<bold>0.02</bold>
</td></tr><tr><td align="left" valign="top" rowspan="1" colspan="1">B/Yamagata-B/Phuket Egg Grown Virus</td><td align="center" valign="top" rowspan="1" colspan="1"/><td align="center" valign="top" rowspan="1" colspan="1"/><td align="center" valign="top" rowspan="1" colspan="1"/></tr><tr><td align="left" valign="top" rowspan="1" colspan="1">N</td><td align="center" valign="top" rowspan="1" colspan="1">14</td><td align="center" valign="top" rowspan="1" colspan="1">14</td><td align="center" valign="top" rowspan="1" colspan="1"/></tr><tr><td align="left" valign="top" rowspan="1" colspan="1">Day 0 HAI GMT (95% CI)</td><td align="center" valign="top" rowspan="1" colspan="1">10 (7&#x02013;16)</td><td align="center" valign="top" rowspan="1" colspan="1">11 (8&#x02013;17)</td><td align="center" valign="top" rowspan="1" colspan="1">0.72</td></tr><tr><td align="left" valign="top" rowspan="1" colspan="1">Day 28 HAI GMT (95% CI)</td><td align="center" valign="top" rowspan="1" colspan="1">199 (133&#x02013;302)<sup><xref rid="TFN12" ref-type="table-fn">&#x02020;</xref></sup></td><td align="center" valign="top" rowspan="1" colspan="1">22 (10&#x02013;48)<sup><xref rid="TFN12" ref-type="table-fn">&#x02020;</xref></sup></td><td align="center" valign="top" rowspan="1" colspan="1">
<bold>&#x0003c;0.001</bold>
</td></tr><tr><td align="left" valign="top" rowspan="1" colspan="1">Mean fold-rise in HAI titer (95% CI)</td><td align="center" valign="top" rowspan="1" colspan="1">19.6 (10.9&#x02013;34.8)</td><td align="center" valign="top" rowspan="1" colspan="1">1.9 (1.2&#x02013;3.1)</td><td align="center" valign="top" rowspan="1" colspan="1">
<bold>&#x0003c;0.001</bold>
</td></tr><tr><td align="left" valign="top" rowspan="1" colspan="1">Seroconversion &#x02265; 1:40, n (%)</td><td align="center" valign="top" rowspan="1" colspan="1">14 (100)</td><td align="center" valign="top" rowspan="1" colspan="1">2 (14.3)</td><td align="center" valign="top" rowspan="1" colspan="1">
<bold>&#x0003c;0.001</bold>
</td></tr><tr><td align="left" valign="top" rowspan="1" colspan="1">Seroconversion &#x02265; 1:110, n (%)</td><td align="center" valign="top" rowspan="1" colspan="1">11 (78.6)</td><td align="center" valign="top" rowspan="1" colspan="1">2 (14.3)</td><td align="center" valign="top" rowspan="1" colspan="1">
<bold>&#x0003c;0.001</bold>
</td></tr></tbody></table><table-wrap-foot><fn id="TFN10"><p id="P68">ccIIV4 = cell-based quadrivalent inactivated influenza vaccine;
LAIV4 = egg-based quadrivalent live-attenuated influenza vaccine; GMT =
geometric mean titer; CI = confidence interval; Seroconversion = HAI titer
ratio of day 28/day 0 &#x02265; 4 and HAI titer at day 28 &#x02265; 40.
Primary outcome was mean fold-rise in HAI titer.</p></fn><fn id="TFN11"><label>*</label><p id="P69"><italic toggle="yes">t</italic>-test was used to compare log titers by vaccine
type; Chi-square test was used to compare rates.</p></fn><fn id="TFN12"><label>&#x02020;</label><p id="P70">p &#x0003c; 0.05 for paired <italic toggle="yes">t</italic>-test comparison to Day
0 GMT.</p></fn></table-wrap-foot></table-wrap></floats-group></article>