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Effectiveness of a Fourth Dose of COVID-19 Vaccine among Long-Term Care Residents in Ontario, Canada

Authors:

Abstract

Background As of December 30, 2021, Ontario long-term care (LTC) residents who received a third dose of COVID-19 vaccine ≥84 days previously were offered a fourth dose to prevent a surge in COVID-19-related morbidity and mortality due to the Omicron variant. Methods We used a test-negative design and linked databases to estimate the marginal effectiveness (4 versus 3 doses) and vaccine effectiveness (VE; 2, 3, or 4 doses versus no doses) of mRNA vaccines among Ontario LTC residents aged ≥60 years who were tested for SARS-CoV-2 between December 30, 2021 and March 2, 2022. Outcome measures included any Omicron infection, symptomatic infection, and severe outcomes (hospitalization or death). Results We included 9,957 Omicron cases and 46,849 test-negative controls. The marginal effectiveness of a fourth dose ≥7 days after vaccination versus a third dose received ≥84 days prior was 40% (95% Confidence Interval[CI], 34-45%) against infection, 63% (95%CI, 51-71%) against symptomatic infection, and 54% (95%CI, 31-70%) against severe outcomes. VE (compared to an unvaccinated group) increased with each additional dose, and for a fourth dose was 65% (95%CI, 60-70%), 87% (95%CI, 81-91%), and 92% (95%CI, 87-95%), against infection, symptomatic infection, and severe outcomes, respectively. Conclusions Our findings suggest that compared to a third dose received ≥84 days ago, a fourth dose recommendation for LTC residents improved protection against infection, symptomatic infection, and severe outcomes caused by Omicron. Compared to unvaccinated individuals, fourth doses provide strong protection against symptomatic infection and severe outcomes but the duration of protection remains unknown.
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Effectiveness of a Fourth Dose of COVID-19 Vaccine among Long-Term Care Residents in
Ontario, Canada: Test-Negative Design Study
Authors: Ramandip Grewal*1, Sophie A Kitchen*2, Lena Nguyen2, Sarah A Buchan1,2,3,4, Sarah E
Wilson1,2,3,4, Andrew P Costa6,7,8, Jeffrey C Kwong1,2,3,4,9,10
Affiliations:
*These authors contributed equally to the work and are presented in alphabetical order
1 Public Health Ontario, Toronto, Ontario, Canada
2 ICES, Toronto, Ontario, Canada
3 Dalla Lana School of Public Health, University of Toronto, Toronto, Ontario, Canada
4 Centre for Vaccine Preventable Diseases, University of Toronto, Toronto, Ontario, Canada
5 Institute of Health Policy, Management and Evaluation, University of Toronto, Toronto, Ontario,
Canada
6 Department of Medicine, Michael G. DeGroote School of Medicine, McMaster University, Hamilton,
Ontario, Canada
7 Department of Health Research Methods, Evidence, and Impact, McMaster University, Hamilton,
Canada
8 Centre for Integrated Care, St. Joseph’s Health System, Hamilton, Ontario, Canada
9 Department of Family and Community Medicine, University of Toronto, Toronto, Ontario, Canada
10 University Health Network, Toronto, Ontario, Canada
Authors emails and positions:
Ramandip Grewal: Scientist, Ramandip.Grewal@oahpp.ca
Sophie A Kitchen: Epidemiologist, Sophie.Kitchen@ices.on.ca
Lena Nguyen: Research analyst, Lena.Nguyen@ices.on.ca
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NOTE: This preprint reports new research that has not been certified by peer review and should not be used to guide clinical practice.
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Sarah A Buchan: Scientist, Sarah.Buchan@oahpp.ca
Sarah E Wilson: Public Health Physician, Sarah.Wilson@oahpp.ca
Andrew P Costa: Associate Professor, Faculty of Health Sciences, Acosta@mcmaster.ca
Word Count: 3,784
Correspondence to:
Jeffrey C Kwong
Senior Scientist, ICES
G1 06, 2075 Bayview Avenue, Toronto, Ontario, Canada, M4N 3M5
jeff.kwong@utoronto.ca
Phone: (416) 480-4055 x1-7665
Fax: (416) 480-6048
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Abstract
Background: As of December 30, 2021, Ontario long-term care (LTC) residents who received a third
dose of COVID-19 vaccine
84 days previously were offered a fourth dose to prevent a surge in
COVID-19-related morbidity and mortality due to the Omicron variant.
Methods: We used a test-negative design and linked databases to estimate the marginal effectiveness
(4 versus 3 doses) and vaccine effectiveness (VE; 2, 3, or 4 doses versus no doses) of mRNA vaccines
among Ontario LTC residents aged
60 years who were tested for SARS-CoV-2 between December
30, 2021 and April 27, 2022. Outcome measures included any Omicron infection, symptomatic
infection, and severe outcomes (hospitalization or death).
Results: We included 13,654 Omicron cases and 205,862 test-negative controls. The marginal
effectiveness of a fourth dose (with 95% of fourth dose vaccine recipients receiving mRNA-1273)
7
days after vaccination versus a third dose received
84 days prior was 19% (95% Confidence Interval
[CI], 12-26%) against infection, 31% (95%CI, 20-41%) against symptomatic infection, and 40%
(95%CI, 24-52%) against severe outcomes. VE (compared to an unvaccinated group) increased with
each additional dose, and for a fourth dose was 49% (95%CI, 43-54%), 69% (95%CI, 61-76%), and
86% (95%CI, 81-90%), against infection, symptomatic infection, and severe outcomes, respectively.
Conclusions: Our findings suggest that compared to a third dose received
84 days ago, a fourth dose
improved protection against infection, symptomatic infection, and severe outcomes caused by Omicron
among long-term care residents. Compared to unvaccinated individuals, fourth doses provide strong
protection against severe outcomes, but the duration of protection remains unknown.
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BACKGROUND
Residents of long-term care (LTC) facilities are at high risk of SARS-CoV-2 infection and severe
outcomes for a range of reasons, including risk of exposure due to their reliance on care from others
within a congregate living setting, underlying comorbidities that increase the risk of clinical severity if
infected, and age-related changes in the immune system (immunosenescence) that may impact the
response to COVID-19 vaccines.1,2 In Ontario, Canada, which comprises nearly 40% of Canada’s
population, LTC facilities are publicly-funded institutions that provide housing, medical support, and
24-hour access to personal and nursing care to individuals who are often older adults unable to live in
the community due to major neurocognitive disorders and/or disability.3 LTC residents are expected to
remain residents in the facility indefinitely. There are currently 626 licensed LTC facilities that
collectively care for approximately 6% of Ontario’s older adults (
65 years).4,5 LTC residents in
Ontario have been disproportionately affected by the COVID-19 pandemic, accounting for nearly two-
thirds of deaths during the first two waves.2 The arrival of COVID-19 vaccines drastically improved
outcomes for LTC residents, with an 89% relative reduction in infections and 96% reduction in
mortality compared to unvaccinated control populations within 8 weeks.6 However, the effectiveness of
a 2-dose primary series declines over time, and the emergence of new variants of concern (VOC) led to
increased breakthrough infections and deaths.7–13 On August 17, 2021, Ontario began offering third
(first booster) doses to LTC residents.
The arrival of the Omicron variant in November 2021 raised significant concerns for the LTC
population, with early evidence suggesting increased transmissibility, greater risk of reinfection, and
reduced vaccine protection against Omicron compared to previous VOCs.14–16 Additionally,
susceptibility increased due to partial immune evasion by Omicron and waning immunity following
third doses.15,17 To mitigate another surge in COVID-19-related morbidity and mortality, Ontario began
offering fourth (second booster) doses on December 30, 2021 to LTC residents who had received their
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third dose at least 3 months (
84 days) prior.15 The preferred product was a 100mcg dose of mRNA-
1273 (Moderna Spikevax).15 The fourth dose LTC program in Ontario was a universal program, with
the goal to vaccinate all LTC residents as quickly as possible, rather than a targeted or tiered program
(e.g., targeting highest risk residents first). Other jurisdictions have subsequently recommended fourth
(second booster) doses for their LTC populations. Although evidence from Israel suggests that fourth
doses compared to third doses provide additional protection against SARS-CoV-2 infection and severe
COVID-19 among older adults, findings have been limited to the BNT162b2 (Pfizer-BioNTech
Comirnaty) vaccine,18,19 and no studies to date have reported both marginal effectiveness and vaccine
effectiveness (VE) of fourth doses in the LTC population.
The objectives of this study were: 1) to estimate the marginal effectiveness of a fourth dose of
mRNA COVID-19 vaccine relative to a third dose received
84 days prior; and 2) to estimate VE of
varying numbers of doses relative to an unvaccinated group. For both objectives, we examined SARS-
CoV-2 infection, symptomatic infection, and severe outcomes among Ontario LTC residents.
METHODS
Study design, setting, and population
We used a test-negative design and linked provincial databases to estimate marginal effectiveness and
VE among LTC residents aged
60 years as of December 30, 2021 (date eligible for fourth doses)
across the 626 LTC facilities in Ontario. Individuals must have had
1 reverse-transcription
polymerase chain reaction (RT-PCR) test for SARS-CoV-2 between December 30, 2021 and April 27,
2022. Testing was commonplace in LTC facilities, and may have been initiated due to active screening
(if a resident was experiencing COVID-19 symptoms, had contact with a known positive case, or
during an outbreak) or passive screening (among asymptomatic individuals without COVID-19
exposure, to create an additional layer of protection).20 We excluded individuals who received a fourth
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dose before December 30, 2021 or tested positive for SARS-CoV-2
90 days ago. Canadian and
provincial guidelines recommend mRNA vaccines (mRNA-1273 or BNT162b2) versus other Health
Canada approved COVID-19 vaccine platforms.15,21 Few (n=165) LTC residents received ChAdOx1-S
(AstraZeneca Vaxzevria or COVISHIELD) and none received Ad26.COV2.S (Johnson & Johnson
Janssen), the other available vaccines in Canada at the time. Therefore, we restricted our study
population to those who received mRNA vaccines for all doses. A flow chart outlining the exclusion
criteria is available in the Supplementary Appendix (Figure S1). Given B.1.1.529 (Omicron) was the
dominant circulating VOC during our study period, representing approximately 80.4% of samples
tested on December 28, 2021 and over 98.8% of samples tested after January 30, 2022,22,23 we
estimated VE against Omicron only. Omicron was identified by whole genome sequencing (WGS) or
S-gene target failure (SGTF) testing; the latter has 99.9% specificity, 99.5% positive predictive value,
and 99.7% negative predictive value.24 If laboratory screening information was unavailable, we
assumed cases were Omicron unless they were confirmed as B.1.617.2 (Delta). We excluded Delta
cases that were identified based on WGS or SGTF.
Data sources
We linked provincial SARS-CoV-2 laboratory testing, COVID-19 vaccination, and health
administrative datasets (Table S1) using unique encoded identifiers and analyzed them at ICES
(formerly the Institute for Clinical Evaluative Sciences).
Outcomes
We created cohorts for three outcomes: any infection (SARS-CoV-2-positive individuals, irrespective
of symptoms), symptomatic infection (individuals with
1 symptom consistent with COVID-19 disease
that was recorded in the Ontario Laboratories Information System (OLIS) when tested [details on
determinization of symptom status are available in Table S2]; many symptomatic, tested individuals
may have been excluded because symptom information was not recorded in OLIS for various reasons),
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and severe outcomes (hospitalization or death due to, or partially due to, COVID-19). We sampled
cases and controls within each week of the study period so that time of testing was similar between
cases and controls. Individuals who tested positive at least once in a week were considered cases and
those testing negative for all tests during that week were considered controls. Among cases with
multiple occurrences of the same outcome, we selected the first occurrence in the study period. Once an
individual became a case, they could not re-enter the study. For controls, we randomly selected 1
negative test within each week of the study period. It was possible for controls to later be considered
cases if they tested negative for SARS-CoV-2 during earlier weeks of the study period and tested
positive in a subsequent week. For the infection outcomes, the index date was the date of specimen
collection, and for severe outcomes, the index date was the earliest of specimen collection date,
hospitalization, or death.
COVID-19 vaccination
We used a centralized province-wide vaccine registry to identify receipt of COVID-19 vaccines. We
classified LTC residents based on the number of doses received. We stratified groups based on time
since third dose (<84 days,
84 days) relative to the index test date to evaluate third doses over time, as
well as time since fourth dose (<7 days,
7 days) to account for time to expected immune re-
activation.25
Covariates
From various databases described previously (Table S1),26 we obtained information on each person’s
age, sex, public health unit region of residence, week of test, whether they had a SARS-CoV-2
infection >90 days prior, comorbidities, and whether there was an active SARS-CoV-2 outbreak in
their LTC facility.
Statistical analysis
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We calculated means (continuous variables) and frequencies (categorical variables) and compared test-
negative controls to test-positive Omicron cases using standardized differences. We also compared
individuals vaccinated with a third dose
84 days prior to their index test to those who received no
doses, 1 dose, 2 doses, 3 doses <84 days prior, 4 doses <7 days prior, or 4 doses
7 days prior. We also
examined descriptive facility-level statistics across the 10 public health unit regions.
We used multivariable logistic regression to estimate odds ratios comparing the odds of
vaccination among cases with the odds of vaccination among controls, while adjusting for covariates.
We accounted for clustering at the facility level using a generalized estimating equations framework
with an exchangeable correlation structure. We used the formula 1-ORx100% to estimate marginal
effectiveness and VE. Geographic region was the only variable with missing data and few observations
were missing (0.3%); these observations were removed from the analyses.
In the primary analysis for marginal effectiveness, we compared the effectiveness <7 days and
7 days after a fourth dose to a third dose received
84 days prior, and included all covariates listed
above except LTC facility outbreak. Age was included as a categorical variable (60-69 years, 70-79
years,
80 years) and the number of comorbidities as an ordinal variable. We conducted several
secondary analyses: 1) adjusted for LTC facility outbreaks to determine if outbreak status was a
confounder (i.e., a facility-level outbreak may affect the vaccination and outcome status of some
residents); 2) stratified by LTC facility outbreaks to determine if being in outbreak modified the effect
of fourth doses on marginal effectiveness; 3) used a third dose received <84 days prior as the
comparator (i.e., non-exposed) group; 4) restricted to the peak period of Omicron infections in LTC
facilities; 5) did not adjust for individuals who had a prior positive SARS-CoV-2 test in the past 90
days; and 6) removed LTC facilities with
10% residents classified as unvaccinated to assess the
impact of potential misclassification of vaccination status (e.g., due to incomplete reporting to the
provincial vaccine registry) in these facilities.
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In the primary analysis for VE, we estimated the effectiveness of 2, 3, or 4 doses compared to
unvaccinated individuals using the same covariates as the marginal effectiveness analysis. We also
determined the impact of potential misclassification of vaccination status on VE by removing LTC
facilities where
10% of residents were unvaccinated. Additionally, we estimated VE for the most
frequently reported vaccine product combinations among those who received a third dose (there was
insufficient variability by product to explore this for fourth doses): 1) 3 doses of mRNA-1273; 2) 3
doses of BNT162b2; and 3) 2 doses of BNT162b2 followed by mRNA-1273. Finally, we determined
whether the product combination of the first three doses (as listed above) affected the marginal
effectiveness of fourth doses of mRNA-1273.
All analyses were conducted using SAS Version 9.4 (SAS Institute Inc., Cary, NC). All tests
were 2-sided and we used a significance level of p<0.05.
Ethics approval
ICES is a prescribed entity under Ontario’s Personal Health Information Protection Act (PHIPA).
Section 45 of PHIPA authorizes ICES to collect personal health information, without consent, for the
purpose of analysis or compiling statistical information with respect to the management of, evaluation
or monitoring of, the allocation of resources to or planning for all or part of the health system. Projects
that use data collected by ICES under section 45 of PHIPA, and use no other data, are exempt from
REB review. The use of the data in this project is authorized under section 45 and approved by ICES
Privacy and Legal Office.
RESULTS
Between December 30, 2021 and April 27, 2022, 87.8% of LTC residents in Ontario were tested for
SARS-CoV-2 (64,339 of 73,291 residents). There was a high facility-level proportion of residents
tested across all 10 public health regions (median range: 89% to 97%), and the median facility-level
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SARS-CoV-2 test percent positivity ranged from 1.8% to 5.9% by region over the study period (Table
S3; Figure S2). Among those tested, we included 13,654 Omicron cases and 205,862 test-negative
controls. More than three-quarters (80.1%) of tested residents had multiple SARS-CoV-2 tests during
the study period (mean number of tests: 3.6 [standard deviation: 2.4]) per resident; Figure S3] and 9.4%
of residents were immunocompromised due to illness or therapy. At the time of testing, the majority of
cases (58.1%) and controls (53.3%) had only received a third dose, and a greater proportion of controls
(38.2%) than cases (28.0%) had received a fourth dose (Table 1). More cases resided in a facility with
an active outbreak (65.5%) than controls (51.1%) and fewer had a prior positive SARS-CoV-2 test >90
days ago (7.5%) compared to controls (15.6%). We observed few differences between residents who
received a third dose
84 days ago and residents who were unvaccinated or received any other number
of doses (Table 2, Table S4). Compared to unvaccinated residents, the mean number of comorbidities
reported among vaccinated residents was similar (Table S5).
Relative to individuals who received a third dose
84 days prior to testing, the marginal
effectiveness of a fourth dose was 19% (95% Confidence Interval [CI] 12-26%) against infection, 31%
(95%CI 20-41%) against symptomatic infection, and 40% (95%CI 24-52%) against severe outcomes
7 days following vaccination; estimates were lower <7 days since a fourth dose (Figure 1, Table S6).
Neither adjustment nor stratification for outbreaks changed estimates (19-22% against infection, 26-
28% against symptomatic infection, and 34-40% against severe disease) (Table S7). However, the
model for symptomatic infection when a LTC facility did not have an active outbreak did not converge.
The marginal VE of a fourth dose
7 days after vaccination relative to a third dose received <84 days
ago was 16% (95%CI 9-23%) against infection, 20% (95%CI 3-33%) against symptomatic infection,
and 29% (95%CI 8-46%) against severe outcomes (Figure S4, Table S6). The marginal effectiveness
estimates after removing LTC facilities with
10% unvaccinated residents (Table S8), when restricted
to the peak period of Omicron infections in LTC facilities (December 30, 2021 to January 26, 2022;
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Table S9; an epidemic curve of all positive tests over the study period can be found in Figure S4), and
when not adjusting for individuals who had a prior positive SARS-CoV-2 test in the past 90 days
(Table S10) were similar to the findings from the primary analysis.
Compared to unvaccinated individuals, VE increased with each additional dose of vaccine but
was lower for those whose third dose was
84 days prior to testing compared to those who received a
third dose more recently (Figure 2, Table S11). VE for a fourth dose
7 days ago was higher against
infection (49% [95%CI 43-54%]), symptomatic infection (69% [95%CI 61-76%]), and severe
outcomes (86% [95%CI 81-90%]) than the corresponding estimates for a third dose
84 days ago (37%
[95%CI 31-43%], 55% [95%CI 45-64%], and 77% [95%CI 69-82%], respectively). VE estimates were
similar in analyses removing LTC facilities with
10% unvaccinated residents (Table S12).
VE against infection was similar among individuals who received 3 doses of mRNA-1273
(infection: 44% [95%CI 38-49%]; symptomatic infection: 61% [95%CI 50-69%]; severe outcomes:
81% [95%CI 74-86%]) and those who received 2 doses of BNT162b2 with a third dose of mRNA-1273
(infection: 36% [95%CI 28-44%]; symptomatic infection: 57% [95%CI 40-69%]; severe outcomes:
81% [95%CI 67-89%]), though time from vaccination to testing was shorter for the latter (Table 3). VE
was lower among individuals who received 3 doses of BNT162b2 (infection: 32% [95%CI 24-38%];
symptomatic infection: 53% [95%CI 39-63%]; severe outcomes: 77% [95%CI 67-83%]). Almost all
LTC residents (95%) who received a fourth dose received mRNA-1273, and VE against infection and
severe outcomes for a fourth dose of mRNA-1273 was similar across all vaccination product
combinations (Table S13). However, VE against symptomatic infection was higher among individuals
who received either 4 doses of mRNA-1273 or 3 doses of BNT162b2 followed by 1 dose of mRNA-
1273 compared to individuals who received 2 doses of BNT162b2 followed by 2 doses of mRNA-
1273. Few individuals received the latter vaccination schedule and confidence intervals were wide and
overlapped with other schedules, making it difficult to make any conclusions.
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DISCUSSION
In this study of LTC residents, we found that compared to a third mRNA dose received
84 days ago, a
fourth dose offered increased effectiveness against any SARS-CoV-2 infection (19%), symptomatic
infection (31%), and severe outcomes (40%). Marginal effectiveness against all outcomes was lower
when comparing fourth doses to third doses received <84 days prior, which broadly supports a 3-month
minimum interval between third and fourth doses, but the optimal dosing interval remains unknown.
The LTC facility being in an outbreak at time of testing neither confounded nor modified marginal
effectiveness estimates. Compared to unvaccinated individuals, VE estimates against infection (49%),
symptomatic infection (69%), and severe outcomes (86%) were consistently higher after a fourth dose
than VE for a third dose received
84 days prior.
Few studies to date have explored the effect of fourth doses. In Israel, among adults aged
60
years, the marginal effectiveness 7-30 days after a fourth dose versus a third dose of BNT162b2
received
4 months earlier was 45% against any infection, 55% against symptomatic infection, 68%
against hospitalization, and 74% against death.29 Our study also found that a fourth dose provided
additional protection compared to a third dose, however, our marginal effectiveness estimates were
lower than those observed in Israel. Nevertheless, findings cannot be directly compared due to
differences in study design, outcome definitions, population characteristics, settings, vaccine products,
time since vaccination, and dosing intervals. Notably, the study from Israel excluded LTC residents.
We observed higher VE with each dose for all outcomes. When interpreting marginal
effectiveness estimates, differences in VE between doses should be taken into consideration.30
Although the marginal effectiveness estimate against infection may seem low at 19%, VE was 12
percentage points higher (49% versus 37%)
7 days after a fourth dose compared to a third dose
received
84 days ago. Against symptomatic infection, a marginal effectiveness of 31% corresponded
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to a 14 percentage point difference in VE (69% versus 55%). A boost in VE against infection among
LTC residents is still important since the consequences of infection, including extended social
isolation, disruptions in care, risk of developing severe disease, and mortality, are higher compared to
the general population.1,2,31 The difference in VE against severe outcomes was lower at 9 percentage
points (86% versus 77%), but nonetheless translated to a 40% marginal effectiveness.30 Given the high
baseline incidence of severe outcomes in this population,25 if SARS-CoV-2 transmission is high, a 9
percentage point increase in VE may still reduce COVID-19-related morbidity and mortality
substantially. For example, if the incidence of severe outcomes among unvaccinated LTC residents is
10 per 1,000 resident-weeks, 4-dose VE is 86%, and 3-dose VE is 77%, vaccinating all residents who
had received a third dose 84 days ago with a fourth dose would avert 0.9 severe outcomes per 1,000
resident-weeks (i.e., 2.3 per 1,000 resident-weeks minus 1.4 per 1,000 resident-weeks). If the baseline
incidence is 100 per 1,000 resident-weeks, fourth doses administered to all residents would avert 9
severe outcomes per 1,000 resident-weeks.
Past studies of 2-dose mRNA VE in LTC populations conducted earlier in the pandemic have
reported higher VE estimates (71-82%) than the VE estimates we observed for fourth doses.32,33
However, VE studies conducted later against predominating variants of concern (VOC) have reported
similar estimates to our fourth dose estimates against Omicron; VE against Beta infection in LTC
facilities in France was 49% and against Delta infection in United States (US) facilities was 53%.12,34
VE against Omicron, particularly against infection, has also been found to be lower than any previous
VOC.16,35,36 Our VE estimate against hospitalization or death was similar to 2-dose VE against the
same outcomes due to Beta in France (86%).12 VE estimates might also be slightly lower in our study
because we reported VE for longer time post-vaccination (i.e., up to 3 months), and protection may
have already started waning among residents who received their dose shortly after program
implementation. Nonetheless, as noted above, our observed increases in VE with a fourth dose were
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still considerable for a vulnerable population at high risk of severe outcomes and living in a setting
with elevated transmission risks.
Similar to recent studies outside Ontario among adult populations,35,37,38 we also observed
waning of a third dose based on lower VE estimates for individuals who received a third dose
84 days
ago versus <84 days ago, but not enough time has elapsed to explore waning or duration of protection
of fourth doses among Ontario LTC residents. Recent studies in Israel among adults aged
60 years
suggest that effectiveness of fourth doses of BNT162b2 against infection may wane faster than third
doses, but similar to third doses, there is a lower degree of waning against severe disease.18,19 Canadian
studies have found that immune protection among LTC residents wanes much faster than younger,
healthier adults after 2 doses; similar patterns may be expected for booster doses.39,40
Studies from the United Kingdom (UK) among adults suggest similar levels of protection from
a third dose of either mRNA vaccine against symptomatic Omicron infection irrespective of the mRNA
product used for the primary series.16,38 Among adults aged
65 years in the UK, VE against
hospitalization was also similar for a third dose of either mRNA vaccine following 2 doses of
BNT162b2.41 We found that among Ontario LTC residents, a third dose of mRNA-1273 after a
homologous 2-dose primary series of either mRNA vaccine was more effective against all outcomes
than 3 doses of BNT162b2. For those receiving a primary course of BNT162b2 with an mRNA-1273
booster, the time between vaccination and testing was shorter compared to the other schedules, making
it difficult to determine the relative impact of the booster product versus the shorter time period.
Additionally, as previously mentioned, a 100mcg dose of mRNA-1273 is now recommended for LTC
residents in Ontario for boosters,15,42 whereas other jurisdictions (e.g., the UK43 and the US44) use a
50mcg dose for boosters, which may have influenced our findings.
This study has some limitations. First, our symptomatic cohort was limited to individuals who
had symptoms recorded in OLIS and therefore may be incomplete. Second, Ontario laboratories
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15
discontinued routine SGTF screening of all positive samples in late December 2021, therefore there
may be some misclassification of Delta cases as Omicron, potentially biasing estimates away from the
null. Nonetheless, it is unlikely this would significantly impact our estimates since the prevalence of
Delta in Ontario was very low during our study period. Third, we classified outbreaks at the facility
level since we did not have data on whether the outbreak was on a resident’s floor or if it was more
contained, therefore we may have overestimated the impact of outbreaks at the person level. Fourth,
there is potential for residual confounding since we were limited to the covariates available in the study
databases. Fifth, we did not have information available on why residents may have delayed or refused
vaccination, which may have introduced some bias. Finally, we did not have access to LTC staff
vaccination records. Staff vaccination strongly influences SARS-CoV-2 transmission in LTC
facilities.45 At the time of this study, all LTC staff in Ontario were required to be vaccinated with 2
doses,46 but 2-dose VE against Omicron infection is low.16,35,36 Although a mandate for required third
doses was also implemented, staff had until March 14, 2022 (well into our study period) to comply
(though this may not have been enforced since the province shifted from a provincial LTC vaccination
mandate to supporting employer-led policies on the same day).46 This study also has many strengths,
such as its test-negative design, which helps mitigate selection bias from differences in healthcare-
seeking behaviours between vaccinated and unvaccinated individuals, and our large sample size. Our
study included over 60,000 LTC residents across all 626 LTC facilities in Ontario, increasing the
generalizability of these findings.
Our findings indicate that a fourth dose of a COVID-19 mRNA vaccine (95% received mRNA-
1273) successfully increased protection against any SARS-CoV-2 infection, symptomatic infection,
and severe outcomes among LTC residents in an Omicron-dominant period. Nevertheless, there are
still many unknowns regarding fourth doses in this population including the duration of protection,
particularly for the mRNA-1273 vaccine. Layering other public health measures with vaccination in
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16
LTC facilities, including masking, increased ventilation, and physical distancing may help optimize
protection against SARS-CoV-2 for this highly vulnerable population.
Data availability
The dataset from this study is held securely in coded form at ICES. While legal data sharing
agreements between ICES and data providers (e.g., healthcare organizations and government) prohibit
ICES from making the dataset publicly available, access may be granted to those who meet pre-
specified criteria for confidential access, available at www.ices.on.ca/DAS (email: das@ices.on.ca).
Code availability
The full dataset creation plan and underlying analytic code are available from the authors upon request,
understanding that the computer programs may rely upon coding templates or macros that are unique to
ICES and are therefore either inaccessible or may require modification.
Acknowledgements
We would like to acknowledge Public Health Ontario for access to vaccination data from COVaxON,
case-level data from CCM and COVID-19 laboratory data, as well as assistance with data
interpretation. We also thank the staff of Ontario’s public health units who are responsible for COVID-
19 case and contact management and data collection within CCM. We thank IQVIA Solutions Canada
Inc. for use of their Drug Information Database. The authors are grateful to the Ontario residents
without whom this research would be impossible. We would also like to acknowledge Sharifa Nasreen
for producing the figures for this manuscript.
Funding and disclaimers
This work was supported by the Applied Health Research Questions (AHRQ) Portfolio at ICES, which
is funded by the Ontario Ministry of Health (MOH). For more information on AHRQ and how to
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is the author/funder, who has granted medRxiv a license to display the preprint in perpetuity. (which was not certified by peer review) The copyright holder for this preprint this version posted June 1, 2022. ; https://doi.org/10.1101/2022.04.15.22273846doi: medRxiv preprint
17
submit a request, please visit www.ices.on.ca/DAS/AHRQ. This work was also supported by the
Ontario Health Data Platform (OHDP), a Province of Ontario initiative to support Ontario’s ongoing
response to COVID-19 and its related impacts. This work was supported by Public Health Ontario.
This study was also supported by ICES, which is funded by an annual grant from the Ontario MOH and
the Ministry of Long-Term Care (MLTC). The study sponsors did not participate in the design and
conduct of the study; collection, management, analysis and interpretation of the data; preparation,
review or approval of the manuscript; or the decision to submit the manuscript for publication. Parts of
this material are based on data and/or information compiled and provided by the Canadian Institute for
Health Information (CIHI), and by Ontario Health (OH). However, the analyses, conclusions, opinions
and statements expressed herein are solely those of the authors, and do not reflect those of the funding
or data sources; no endorsement by ICES, MOH, MLTC, OHDP, its partners, the Province of Ontario,
Ontario Health, CIHI, or OH is intended or should be inferred.
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is the author/funder, who has granted medRxiv a license to display the preprint in perpetuity. (which was not certified by peer review) The copyright holder for this preprint this version posted June 1, 2022. ; https://doi.org/10.1101/2022.04.15.22273846doi: medRxiv preprint
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References
1. Wingert A, Pillay J, Gates M, et al. Risk factors for severity of COVID-19: a rapid review to
inform vaccine prioritisation in Canada. BMJ Open. 2021;11(5):e044684. doi:10.1136/bmjopen-
2020-044684
2. Canadian Institute for Health Information. The Impact of COVID-19 on Long-Term Care in
Canada: Focus on the First 6 Months. CIHI; 2021. Accessed March 10, 2022.
https://www.cihi.ca/sites/default/files/document/impact-covid-19-long-term-care-canada-first-6-
months-report-en.pdf
3. Tanuseputro P, Chalifoux M, Bennett C, et al. Hospitalization and mortality rates in long-term
care facilities: Does for-profit status matter? J Am Med Dir Assoc. 2015;16(10):874-883.
doi:10.1016/j.jamda.2015.06.004
4. Wilkinson A, Haroun V, Wong T, Cooper N, Chignell M. Overall quality performance of long-
Term care homes in Ontario. Healthc Q. 2019;22(2):55-62. doi:10.12927/hcq.2019.25903
5. Canadian Institute for Health Information. Long-term care and COVID-19: International
comparisons. Published June 25, 2020. Accessed May 19, 2022. https://www.cihi.ca/en/long-
term-care-and-covid-19-international-comparisons
6. Brown KA, Stall NM, Vanniyasingam T, et al. Early impact of Ontario’s COVID-19 vaccine
rollout on long-term care home residents and health care workers. Science Briefs of the Ontario
COVID-19 Science Advisory Table. 2021;2(13). doi:10.47326/ocsat.2021.02.13.1.0
7. Abe KT, Hu Q, Mozafarihashjin M, et al. Neutralizing antibody responses to SARS-CoV-2
variants in vaccinated Ontario long-term care home residents and workers. medRxiv.
2021;Preprint. doi:10.1101/2021.08.06.21261721
. CC-BY-NC-ND 4.0 International licenseIt is made available under a
is the author/funder, who has granted medRxiv a license to display the preprint in perpetuity. (which was not certified by peer review) The copyright holder for this preprint this version posted June 1, 2022. ; https://doi.org/10.1101/2022.04.15.22273846doi: medRxiv preprint
19
8. Canaday DH, Carias L, Oyebanji OA, et al. Reduced BNT162b2 mRNA vaccine response in
SARS-CoV-2-naive nursing home residents. medRxiv. 2021;Preprint.
doi:10.1101/2021.03.19.21253920
9. Vanker A, McGeer AJ, O’Byrne G, et al. Adverse outcomes associated with Severe Acute
Respiratory Syndrome Coronavirus 2 (SARS-CoV-2) variant B.1.351 infection in vaccinated
residents of a long-term care home, Ontario, Canada. Clin Infect Dis. 2022;74(4):751-752.
doi:10.1093/cid/ciab523
10. Williams C, Al-Bargash D, Macalintal C, et al. Coronavirus Disease 2019 (COVID-19) outbreak
associated with Severe Acute Respiratory Syndrome Coronavirus 2 (SARS-CoV-2) P.1 lineage in
a long-term care home after implementation of a vaccination program - Ontario, April-May 2021.
Clin Infect Dis. 2022;74(6):1085-1088. doi:10.1093/cid/ciab617
11. Kertes J, Gez SB, Saciuk Y, et al. Effectiveness of mRNA BNT162b2 vaccine 6 months after
vaccination among patients in large health maintenance organization, Israel. Emerg Infect Dis.
2022;28(2):338-346. doi:10.3201/eid2802.211834
12. Nanduri S, Pilishvili T, Derado G, et al. Effectiveness of Pfizer-BioNTech and Moderna vaccines
in preventing SARS-CoV-2 infection among nursing home residents before and during
widespread circulation of the SARS-CoV-2 B.1.617.2 (Delta) variant — National Healthcare
Safety Network, March 1–August 1, 2021. MMWR. 2021;70(34):1163-1166.
doi:10.15585/mmwr.mm7034e3
13. Breznik JA, Zhang A, Huynh A, et al. Antibody responses 3-5 months post-vaccination with
mRNA-1273 or BNT163b2 in nursing home residents. J Am Med Dir Assoc. 2021;22(12):2512-
2514. doi:10.1016/j.jamda.2021.10.001
. CC-BY-NC-ND 4.0 International licenseIt is made available under a
is the author/funder, who has granted medRxiv a license to display the preprint in perpetuity. (which was not certified by peer review) The copyright holder for this preprint this version posted June 1, 2022. ; https://doi.org/10.1101/2022.04.15.22273846doi: medRxiv preprint
20
14. Ito K, Piantham C, Nishiura H. Relative instantaneous reproduction number of Omicron SARS-
CoV-2 variant with respect to the Delta variant in Denmark. J Med Virol. 2022;94(5):2265-2268.
doi:10.1002/jmv.27560
15. Ontario Agency for Health Protection and Promotion (Public Health Ontario). Recommendations:
Fourth COVID-19 Vaccine Dose for Long-Term Care Home Residents and Older Adults in
Congregate Settings. Queen’s Printer for Ontario; 2021. Accessed March 10, 2022.
https://www.publichealthontario.ca/-/media/documents/ncov/vaccines/2022/01/covid-19-oiac-4th-
dose-recommendations-older-adults-ltc.pdf?sc_lang=en
16. Andrews N, Stowe J, Kirsebom F, et al. Covid-19 vaccine effectiveness against the Omicron
(B.1.1.529) variant. N Engl J Med. 2022;Online ahead of print. doi:10.1056/NEJMoa2119451
17. Liu L, Iketani S, Guo Y, et al. Striking antibody evasion manifested by the Omicron variant of
SARS-CoV-2. Nature. 2022;602(7898):676-681. doi:10.1038/s41586-021-04388-0
18. Bar-On YM, Goldberg Y, Mandel M, et al. Protection by a fourth dose of BNT162b2 against
Omicron in Israel. N Engl J Med. 2022;Online ahead of print. doi:10.1056/NEJMoa2201570
19. Gazit S, Saciuk Y, Perez G, Peretz A, Pitzer VE, Patalon T. Relative effectiveness of four doses
compared to three dose of the BNT162b2 vaccine in Israel. medRxiv. 2022;Preprint.
doi:10.1101/2022.03.24.22272835
20. Ontario Ministry of Health. COVID-19 Guidance: Long-Term Care Homes and Retirement
Homes for Public Health Units. Government of Ontario; 2022. Accessed May 19, 2022.
https://www.health.gov.on.ca/en/pro/programs/publichealth/coronavirus/docs/2019_LTC_homes_
retirement_homes_for_PHUs_guidance.pdf
21. National Advisory Committee on Immunization. An Advisory Committee Statement (ACS)
National Advisory Committee on Immunization (NACI): Recommendations on the Use of COVID-
19 Vaccines. National Advisory Committee on Immunization; 2021. Accessed March 23, 2022.
. CC-BY-NC-ND 4.0 International licenseIt is made available under a
is the author/funder, who has granted medRxiv a license to display the preprint in perpetuity. (which was not certified by peer review) The copyright holder for this preprint this version posted June 1, 2022. ; https://doi.org/10.1101/2022.04.15.22273846doi: medRxiv preprint
21
https://www.canada.ca/en/public-health/services/immunization/national-advisory-committee-on-
immunization-naci/recommendations-use-covid-19-vaccines.html
22. Ontario Agency for Health Protection and Promotion (Public Health Ontario). SARS-CoV-2 Whole
Genome Sequencing in Ontario, March 15, 2022. Queen’s Printer for Ontario; 2022. Accessed
March 23, 2022. https://www.publichealthontario.ca/-/media/documents/ncov/epi/covid-19-sars-
cov2-whole-genome-sequencing-epi-summary.pdf?sc_lang=en
23. Ontario Agency for Health Protection and Promotion (Public Health Ontario). COVID-19 Variant
of Concern Omicron (B.1.1.529): Risk Assessment, January 12, 2022. Queen’s Printer for
Ontario; 2022. Accessed March 23, 2022. https://www.publichealthontario.ca/-
/media/documents/ncov/voc/2022/01/covid-19-omicron-b11529-risk-assessment-jan-12.pdf
24. Public Health Ontario. SARS-CoV-2 (COVID-19 Virus) Variant of Concern (VoC) Screening and
Genomic Sequencing for Surveillance. Public Health Ontario. Published March 21, 2022.
Accessed April 11, 2022. https://www.publichealthontario.ca/en/Laboratory-Services/Test-
Information-Index/COVID-19-VoC
25. Falsey AR, Frenck RW, Walsh EE, et al. SARS-CoV-2 neutralization with BNT162b2 vaccine
dose 3. N Engl J Med. 2021;385(17):1627-1629. doi:10.1056/NEJMc2113468
26. Chung H, He S, Nasreen S, et al. Effectiveness of BNT162b2 and mRNA-1273 covid-19 vaccines
against symptomatic SARS-CoV-2 infection and severe covid-19 outcomes in Ontario, Canada:
test negative design study. BMJ. 2021;374:n1943. doi:10.1136/bmj.n1943
27. National Advisory Committee on Immunization. An Advisory Committee Statement (ACS)
National Advisory Committee on Immunization (NACI): Initial Guidance on a Second Booster
Dose of COVID-19 Vaccines in Canada. National Advisory Committee on Immunization; 2022.
Accessed May 19, 2022. https://www.canada.ca/content/dam/phac-
. CC-BY-NC-ND 4.0 International licenseIt is made available under a
is the author/funder, who has granted medRxiv a license to display the preprint in perpetuity. (which was not certified by peer review) The copyright holder for this preprint this version posted June 1, 2022. ; https://doi.org/10.1101/2022.04.15.22273846doi: medRxiv preprint
22
aspc/documents/services/immunization/national-advisory-committee-on-immunization-naci/naci-
guidance-second-booster-dose-covid-19-vaccines.pdf
28. Interim statement on the use of additional booster doses of Emergency Use Listed mRNA
vaccines against COVID-19. Published May 17, 2022. Accessed May 20, 2022.
https://www.who.int/news/item/17-05-2022-interim-statement-on-the-use-of-additional-booster-
doses-of-emergency-use-listed-mrna-vaccines-against-covid-19
29. Magen O, Waxman JG, Makov-Assif M, et al. Fourth dose of BNT162b2 mRNA covid-19
vaccine in a nationwide setting. N Engl J Med. 2022;386(17):1603-1614.
doi:10.1056/NEJMoa2201688
30. Lewis NM, Chung JR, Uyeki TM, Grohskopf L, Ferdinands JM, Patel MM. Interpretation of
relative efficacy and effectiveness for influenza vaccines. Clin Infect Dis. Published online
December 7, 2021:ciab1016. doi:10.1093/cid/ciab1016
31. Savage RD, Rochon PA, Na Y, et al. Excess mortality in long-term care residents with and
without personal contact with family or friends during the COVID-19 pandemic. J Am Med Dir
Assoc. 2022;23(3):441-443.e1. doi:10.1016/j.jamda.2021.12.015
32. Starrfelt J, Danielsen AS, Kacelnik O, Børseth AW, Seppälä E, Meijerink H. High vaccine
effectiveness against coronavirus disease 2019 (COVID-19) and severe disease among residents
and staff of long-term care facilities in Norway, November 2020–June 2021. Antimicrob Steward
Healthc Epidemiol. 2022;2(1). doi:10.1017/ash.2021.246
33. Mazagatos C, Monge S, Olmedo C, et al. Effectiveness of mRNA COVID-19 vaccines in
preventing SARS-CoV-2 infections and COVID-19 hospitalisations and deaths in elderly long-
term care facility residents, Spain, weeks 53 2020 to 13 2021. Euro Surveill. 2021;26(24).
doi:10.2807/1560-7917.ES.2021.26.24.2100452
. CC-BY-NC-ND 4.0 International licenseIt is made available under a
is the author/funder, who has granted medRxiv a license to display the preprint in perpetuity. (which was not certified by peer review) The copyright holder for this preprint this version posted June 1, 2022. ; https://doi.org/10.1101/2022.04.15.22273846doi: medRxiv preprint
23
34. Lefèvre B, Tondeur L, Madec Y, et al. Beta SARS-CoV-2 variant and BNT162b2 vaccine
effectiveness in long-term care facilities in France. Lancet Healthy Longev. 2021;2(11):e685-
e687. doi:10.1016/S2666-7568(21)00230-0
35. Tseng HF, Ackerson BK, Luo Y, et al. Effectiveness of mRNA-1273 against SARS-CoV-2
Omicron and Delta variants. Nat Med. Published online 2022:Online ahead of print.
doi:10.1038/s41591-022-01753-y
36. Buchan SA, Chung H, Brown KA, et al. Effectiveness of COVID-19 vaccines against Omicron or
Delta symptomatic infection and severe outcomes. medRxiv. 2022;(Preprint).
doi:10.1101/2021.12.30.21268565
37. Regev-Yochay G, Gonen T, Gilboa M, et al. Efficacy of a fourth dose of Covid-19 mRNA
vaccine against Omicron. N Engl J Med. 2022;386:1377-1380. doi:10.1056/NEJMc2202542
38. UK Health and Security Agency. COVID-19 Vaccine Surveillance Report: Week 12. UK Health
and Security Agency; 2022. Accessed March 25, 2022.
https://assets.publishing.service.gov.uk/government/uploads/system/uploads/attachment_data/file/
1063023/Vaccine-surveillance-report-week-12.pdf
39. COVID-19 Immunity Task Force. Protecting Canada’s Long-Term Care Residents from COVID-
19: The Evidence Behind the Policies. COVID-19 Immunity Task Force; 2021. Accessed March
15, 2022. https://www.covid19immunitytaskforce.ca/wp-content/uploads/2021/10/CITF_LTC-
summary_2021-EN.pdf
40. Walmsley S, Szadkowski L, Wouters B, et al. Safety and efficacy of preventative COVID
vaccines: The StopCoV Study. medRxiv. 2022;Preprint. doi:10.1101/2022.02.09.22270734
41. Stowe J, Andrews N, Kirsebom F, Ramsay M, Bernal JL. Effectiveness of COVID-19 vaccines
against Omicron and Delta hospitalisation: test negative case-control study. medRxiv.
2022;Preprint. doi:10.1101/2022.04.01.22273281
. CC-BY-NC-ND 4.0 International licenseIt is made available under a
is the author/funder, who has granted medRxiv a license to display the preprint in perpetuity. (which was not certified by peer review) The copyright holder for this preprint this version posted June 1, 2022. ; https://doi.org/10.1101/2022.04.15.22273846doi: medRxiv preprint
24
42. Ontario Ministry of Health. COVID-19 Vaccine Third Dose and Booster Recommendations.
Government of Ontario; 2022. Accessed April 7, 2022.
https://www.health.gov.on.ca/en/pro/programs/publichealth/coronavirus/docs/vaccine/COVID-
19_vaccine_third_dose_recommendations.pdf
43. Joint Committee on Vaccination and Immunisation (JCVI). JCVI statement regarding a COVID-
19 booster vaccine programme for winter 2021 to 2022. Published September 14, 2021. Accessed
April 13, 2022. https://www.gov.uk/government/publications/jcvi-statement-september-2021-
covid-19-booster-vaccine-programme-for-winter-2021-to-2022/jcvi-statement-regarding-a-covid-
19-booster-vaccine-programme-for-winter-2021-to-2022
44. Centers for Disease Control and Prevention. Interim Clinical Considerations for Use of COVID-
19 Vaccines Currently Approved or Authorized in the United States. Clinical Guidance for
COVID-19 Vaccination. Published April 21, 2022. Accessed May 19, 2022.
https://www.cdc.gov/vaccines/covid-19/clinical-considerations/interim-considerations-us.html
45. McGarry BE, Barnett ML, Grabowski DC, Gandhi AD. Nursing home staff vaccination and
COVID-19 outcomes. N Engl J Med. 2022;386(4):397-398. doi:10.1056/NEJMc2115674
46. Government of Ontario. Minister’s Directive: Long-term care home COVID-19 immunization
policy. Accessed April 7, 2022. http://www.ontario.ca/page/ministers-directive-long-term-care-
home-covid-19-immunization-policy
. CC-BY-NC-ND 4.0 International licenseIt is made available under a
is the author/funder, who has granted medRxiv a license to display the preprint in perpetuity. (which was not certified by peer review) The copyright holder for this preprint this version posted June 1, 2022. ; https://doi.org/10.1101/2022.04.15.22273846doi: medRxiv preprint
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FIGURES
Figure 1: Marginal effectiveness of a fourth dose of mRNA COVID-19 vaccine against Omicron
outcomes among long-term care residents in Ontario, Canada, compared to residents who received a
third dose
84 days ago
Figure 2: Vaccine effectiveness of 2, 3, and 4 doses of mRNA COVID-19 vaccine against Omicron
outcomes among long-term care residents in Ontario, Canada, compared to unvaccinated residents
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is the author/funder, who has granted medRxiv a license to display the preprint in perpetuity. (which was not certified by peer review) The copyright holder for this preprint this version posted June 1, 2022. ; https://doi.org/10.1101/2022.04.15.22273846doi: medRxiv preprint
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TABLES
Table 1: Descriptive characteristics of long-term care (LTC) residents tested for SARS-CoV-2 between
December 30, 2021 and April 27, 2022 in Ontario, Canada, comparing Omicron cases to SARS-CoV-2-negative
controls
SARS-CoV-2 negative, n
(%)a Omicron, n (%)a SDb
Total 205,862 13,654
Characteristics
Exposure
Unvaccinated 5,473 (2.7%) 572 (4.2%) 0.08
1 dose received 928 (0.5%) 96 (0.7%) 0.03
2 doses received 10,924 (5.3%) 1,215 (8.9%) 0.14
3 doses received
84 days prior to test 82,567 (40.1%) 6,175 (45.2%) 0.10
3 doses received <84 days prior to test 27,137 (13.2%) 1,769 (13.0%) 0.01
4 doses received <7 days prior to test 11,035 (5.4%) 646 (4.7%) 0.03
4 doses received
7 days prior to test 67,798 (32.9%) 3,181 (23.3%) 0.22
Age (years; mean SD
c
) 83.63 ± 9.47 83.95 ± 9.31 0.03
60 to 69 19,996 (9.7%) 1,204 (8.8%) 0.03
70 to 79 43,104 (20.9%) 2,803 (20.5%) 0.01
80 142,762 (69.3%) 9,647 (70.7%) 0.03
Male sex 65,353 (31.7%) 4,749 (34.8%) 0.06
Public health unit region
Central East 15,722 (7.6%) 1,017 (7.4%) 0.01
Central West 34,407 (16.7%) 3,218 (23.6%) 0.17
Durham 7,670 (3.7%) 505 (3.7%) 0.00
Eastern 19,781 (9.6%) 1,138 (8.3%) 0.04
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is the author/funder, who has granted medRxiv a license to display the preprint in perpetuity. (which was not certified by peer review) The copyright holder for this preprint this version posted June 1, 2022. ; https://doi.org/10.1101/2022.04.15.22273846doi: medRxiv preprint
27
North 19,647 (9.5%) 1,487 (10.9%) 0.04
Ottawa 10,828 (5.3%) 839 (6.1%) 0.04
Peel 11,473 (5.6%) 494 (3.6%) 0.09
South West 28,442 (13.8%) 2,109 (15.4%) 0.05
Toronto 43,581 (21.2%) 2,235 (16.4%) 0.12
York 13,396 (6.5%) 578 (4.2%) 0.10
Missing 915 (0.4%) 34 (0.2%) 0.03
LTC facility in outbreak at time of test 105,100 (51.1%) 8,940 (65.5%) 0.30
Prior positive SARS-CoV-test (>90 days) 32,205 (15.6%) 1,021 (7.5%) 0.26
Week of test
d
30 Dec to 05 Jan 29,986 (14.6%) 1,949 (14.3%) 0.01
06 Jan to 12 Jan 30,124 (14.6%) 2,475 (18.1%) 0.09
13 Jan to 19 Jan 23,069 (11.2%) 1,938 (14.2%) 0.09
20 Jan to 26 Jan 19,729 (9.6%) 1,526 (11.2%) 0.05
27 Jan to 02 Feb 15,607 (7.6%) 989 (7.2%) 0.01
03 Feb to 09 Feb 10,391 (5.0%) 532 (3.9%) 0.06
10 Feb to 16 Feb 6,934 (3.4%) 269 (2.0%) 0.09
17 Feb to 23 Feb 5,808 (2.8%) 187 (1.4%) 0.10
24 Feb to 02 Mar 6,034 (2.9%) 173 (1.3%) 0.12
03 Mar to 09 Mar 5,199 (2.5%) 173 (1.3%) 0.09
10 Mar to 16 Mar 5,467 (2.7%) 193 (1.4%) 0.09
17 Mar to 23 Mar 5,595 (2.7%) 203 (1.5%) 0.09
24 Mar to 30 Mar 6,469 (3.1%) 279 (2.0%) 0.07
31 Mar to 6 Apr 7,825 (3.8%) 454 (3.3%) 0.03
7 Apr to 13 Apr 9,406 (4.6%) 584 (4.3%) 0.01
14 Apr to 20 Apr 9,005 (4.4%) 797 (5.8%) 0.07
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28
21 Apr to 27 Apr 9,214 (4.5%) 933 (6.8%) 0.10
Number of comorbidities (mean, SD
d
) 4.09 ± 1.56 4.08 ± 1.55 0.01
Type of comorbidity (N, %)
Immunocompromised 19,226 (9.3%) 1,342 (9.8%) 0.02
Chronic respiratory disease 74,633 (36.3%) 5,004 (36.6%) 0.01
Chronic heart disease 77,159 (37.5%) 4,998 (36.6%) 0.02
Hypertension 168,244 (81.7%) 11,144 (81.6%) 0.00
Diabetes 82,128 (39.9%) 5,252 (38.5%) 0.03
Autoimmune disorders 16,811 (8.2%) 1,058 (7.7%) 0.02
Chronic kidney disease or dialysis
e
36,080 (17.5%) 2,244 (16.4%) 0.03
Advanced liver disease 5,351 (2.6%) 336 (2.5%) 0.01
Dementia 160,756 (78.1%) 10,825 (79.3%) 0.03
History of stroke or transient
ischemic attack 36,467 (17.7%) 2,336 (17.1%) 0.02
Frailty 165,659 (80.5%) 11,157 (81.7%) 0.03
aProportion reported, unless stated otherwise.
bSD=standardized difference. Standardized differences of >0.10 are considered clinically relevant. Comparing
Omicron cases to test-negative controls.
cStandard deviation.
dDecember 30, 31 in 2021 and remaining dates in 2022.
eChronic kidney disease in the prior 5 years or dialysis for 3 consecutive months
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29
Table 2: Descriptive characteristics of long-term care (LTC) residents tested for SARS-CoV-2 between
December 30, 2021 and April 27, 2022 in Ontario, Canada, comparing those who received a third dose
84 days
ago with those who received a third dose <84 days ago or a fourth dose
Third dose
84
days prior to
test,
n (%)a
Third dose <84
days prior to
test,
n (%)a
SDb
Fourth dose
<7 days prior
to test, n (%)a
SDb
Fourth dose
7
days prior to
test,
n (%)a
SDb
Total
N=88,742
N=28,906
N=11,681
N=70,979
Characteristics
c
)
84.06 ± 9.47
82.97 ± 8.93
0.12
84.29 ± 9.42
0.02
83.57 ± 9.61
0.05
60 to 69
8,184 (9.2%)
2,721 (9.4%)
0.01
1,030 (8.8%)
0.01
7,215 (10.2%)
0.03
70 to 79
17,773 (20.0%)
6,460 (22.3%)
0.06
2,237 (19.2%)
0.02
14,793 (20.8%)
0.02
80
62,785 (70.8%)
19,725 (68.2%)
0.05
8,414 (72.0%)
0.03
48,971 (69.0%)
0.04
Male sex
27,500 (31.0%)
10,646 (36.8%)
0.12
3,528 (30.2%)
0.02
22,004 (31.0%)
0
Public health unit
region
Central East
7,336 (8.3%)
2,002 (6.9%)
0.05
886 (7.6%)
0.03
5,236 (7.4%)
0.03
Central West
16,753 (18.9%)
4,666 (16.1%)
0.07
1,794
(15.4%)
0.09
11,174 (15.7%)
0.08
Durham
3,152 (3.6%)
957 (3.3%)
0.01
479 (4.1%)
0.03
2,991 (4.2%)
0.03
Eastern
7,364 (8.3%)
2,249 (7.8%)
0.02
1,232 (10.5%)
0.08
8,772 (12.4%)
0.13
North
7,919 (8.9%)
2,885 (10.0%)
0.04
1,090 (9.3%)
0.01
7,866 (11.1%)
0.07
Ottawa
4,102 (4.6%)
1,513 (5.2%)
0.03
742 (6.4%)
0.08
4,590 (6.5%)
0.08
Peel
4,742 (5.3%)
1,795 (6.2%)
0.04
615 (5.3%)
0
3,033 (4.3%)
0.05
South West
12,145 (13.7%)
3,560 (12.3%)
0.04
1,553 (13.3%)
0.01
11,031 (15.5%)
0.05
Toronto
18,661 (21.0%)
6,726 (23.3%)
0.05
2,595 (22.2%)
0.03
12,397 (17.5%)
0.09
York
6,222 (7.0%)
2,196 (7.6%)
0.02
685 (5.9%)
0.05
3,720 (5.2%)
0.07
Missing
346 (0.4%)
357 (1.2%)
0.09
10 (0.1%)
0.06
169 (0.2%)
0.03
LTC facility in outbreak
51,090 (57.6%)
16,079 (55.6%)
0.04
7,037 (60.2%)
0.05
28,600 (40.3%)
0.35
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30
at time of test
Prior positive SARS
-
CoV
-
2
test (>90 days) 14,461 (16.3%) 3,051 (10.6%) 0.17 1,889 (16.2%) 0 10,343 (14.6%) 0.05
Week of test
d
30 Dec to 05 Jan
22,328 (25.2%)
5,062 (17.5%)
0.19
224 (1.9%)
0.72
0 (0.0%)
0.82
06 Jan to 12 Jan
22,001 (24.8%)
5,232 (18.1%)
0.16
1,300 (11.1%)
0.36
272 (0.4%)
0.79
13 Jan to 19 Jan
14,050 (15.8%)
4,222 (14.6%)
0.03
3,044 (26.1%)
0.25
1,100 (1.5%)
0.52
20 Jan to 26 Jan
9,491 (10.7%)
3,495 (12.1%)
0.04
2,735 (23.4%)
0.34
3,655 (5.1%)
0.21
27 Jan to 02 Feb
5,169 (5.8%)
2,764 (9.6%)
0.14
2,101 (18.0%)
0.38
5,282 (7.4%)
0.07
03 Feb to 09 Feb
2,570 (2.9%)
1,903 (6.6%)
0.17
904 (7.7%)
0.22
4,723 (6.7%)
0.18
10 Feb to 16 Feb
1,237 (1.4%)
1,188 (4.1%)
0.17
360 (3.1%)
0.11
3,980 (5.6%)
0.23
17 Feb to 23 Feb
912 (1.0%)
962 (3.3%)
0.16
136 (1.2%)
0.01
3,658 (5.2%)
0.24
24 Feb to 02 Mar
981 (1.1%)
964 (3.3%)
0.15
110 (0.9%)
0.02
3,801 (5.4%)
0.24
03 Mar to 09 Mar
766 (0.9%)
779 (2.7%)
0.14
86 (0.7%)
0.01
3,452 (4.9%)
0.24
10 Mar to 16 Mar
849 (1.0%)
575 (2.0%)
0.09
117 (1.0%)
0
3,791 (5.3%)
0.25
17 Mar to 23 Mar
892 (1.0%)
411 (1.4%)
0.04
98 (0.8%)
0.02
4,073 (5.7%)
0.26
24 Mar to 30 Mar
1,109 (1.2%)
369 (1.3%)
0
106 (0.9%)
0.03
4,805 (6.8%)
0.28
31 Mar to 6 Apr
1,454 (1.6%)
336 (1.2%)
0.04
99 (0.8%)
0.07
5,929 (8.4%)
0.31
7 Apr to 13 Apr
1,567 (1.8%)
308 (1.1%)
0.06
99 (0.8%)
0.08
7,525 (10.6%)
0.37
14 Apr to 20 Apr
1,680 (1.9%)
179 (0.6%)
0.11
75 (0.6%)
0.11
7,342 (10.3%)
0.36
21 Apr to 27
Apr
1,686 (1.9%)
157 (0.5%)
0.12
87 (0.7%)
0.1
7,591 (10.7%)
0.37
Number of comorbidities
(mean, SD) 4.06 ± 1.55 4.29 ± 1.56 0.15 4.05 ± 1.53 0 4.04 ± 1.56 0.01
Type of comorbidity (N, %)
Immunocompromised
7,775 (8.8%)
3,543 (12.3%)
0.11
1,031 (8.8%)
0
6,212 (8.8%)
0
Chronic respiratory disease
31,568 (35.6%)
10,824 (37.4%)
0.04
4,207 (36.0%)
0.01
26,096 (36.8%)
0.02
Chronic heart disease
32,212 (36.3%)
12,253 (42.4%)
0.12
4,147 (35.5%)
0.02
25,737 (36.3%)
0
Hypertension
72,475 (81.7%)
24,249 (83.9%)
0.06
9,563 (81.9%)
0.01
57,437 (80.9%)
0.02
Diabetes
34,821 (39.2%)
12,202 (42.2%)
0.06
4,533 (38.8%)
0.01
27,890 (39.3%)
0
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31
Autoimmune disorders
7,249 (8.2%)
2,216 (7.7%)
0.02
953 (8.2%)
0
5,939 (8.4%)
0.01
Chronic kidney disease
e
14,412 (16.2%)
6,687 (23.1%)
0.17
1,794 (15.4%)
0.02
11,595 (16.3%)
0
Advanced liver disease
2,129 (2.4%)
861 (3.0%)
0.04
264 (2.3%)
0.01
1,868 (2.6%)
0.01
Dementia
71,725 (80.8%)
20,109 (69.6%)
0.26
9,546 (81.7%)
0.02
56,073
(79.0%)
0.05
History of stroke or
transient ischemic attack 15,623 (17.6%) 4,950 (17.1%) 0.01 2,016 (17.3%) 0.01 12,680 (17.9%) 0.01
Frailty
70,002 (78.9%)
26,149 (90.5%)
0.33
9,310 (79.7%)
0.02
54,938 (77.4%)
0.04
aProportion reported, unless stated otherwise.
bSD=standardized difference. Standardized differences of >0.10 are considered clinically relevant. Comparing
individuals who received their third dose <84 days prior to their index test, fourth dose <7 days prior, and fourth
dose
7 days prior with individuals who received their third dose
84 days prior to their index test.
cStandard deviation.
dDec 30, 31 in 2021 and remaining dates in 2022.
eChronic kidney disease in the prior 5 years or dialysis for 3 consecutive months.
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32
Table 3: Vaccine effectiveness of 3 doses of mRNA COVID-19 vaccines against Omicron outcomes by vaccine
product among long-term care residents in Ontario, Canada, compared to unvaccinated residents
Outcome Product used for first
three doses
Mean time (days;
SDa) from third
dose to
SARS-CoV-2 testb
SARS-CoV-
2-negative
controls, n
Omicron-
positive
cases, n
Vaccine
effectiveness,
% (95% CIc)
Infection
3 doses of mRNA-1273 107 (37.3) 54,515 3,089 44 (38, 49)
3 doses of BNT162b2 104 (40.5) 44,647 4,059 32 (24, 38)
2 doses of BNT162b2,
mRNA-1273 booster 57 (41.6) 6,102 442 36 (28, 44)
Symptomatic
infection
3 doses of mRNA-1273 112 (39.7) 1,357 474 61 (50, 69)
3 doses of BNT162b2 109 (38.1) 1,420 719 53 (39, 63)
2 doses of BNT162b2,
mRNA-1273 booster 65 (45.8) 208 78 57 (40, 69)
Severe
outcomes
3 doses of mRNA-1273 111 (39.2) 1,357 161 81 (74, 86)
3 doses of BNT162b2 108 (39.0) 1,420 218 77 (67, 83)
2 doses of BNT162b2,
mRNA-1273 booster 68 (44.3) 208 21 81 (67, 89)
aStandard deviation.
bThe time period from vaccination to testing was significantly shorter for 2 doses of BNT162b2 with an mRNA-
1273 booster compared to the other two schedules for all outcomes. It is unknown how much of the VE is
attributed to the booster product versus shorter time period.
cConfidence interval.
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... As per the inclusion and exclusion conditions in the eligibility criteria, 354 studies were excluded for the following reasons: (1) Irrelevant sample population and studies (n = 89); (2) mathematical modelling, systematic reviews, and case studies (n = 47); (3) no matched control group (n = 7); (4) studied different vaccine and variant of concern (n = 168); (4) did not have sub-analysis for elderly population (n = 43); and (5) overlap in study population (n = 1). As a result, only 8 studies were included for systematic review [33][34][35][36][37][38][39][40] . PRISMA Flow Diagram summarized the literature selection process (Figure 1). ...
... Among these studies, 3 were published and 5 were published on the pre-print platforms [33][34][35][36][37][38][39][40] . All of the 8 studies used observational study designs such as cohort, case control, and cross-sectional studies [33][34][35][36][37][38][39][40] . ...
... Among these studies, 3 were published and 5 were published on the pre-print platforms [33][34][35][36][37][38][39][40] . All of the 8 studies used observational study designs such as cohort, case control, and cross-sectional studies [33][34][35][36][37][38][39][40] . These studies reported the effectiveness of Pfizer-BioNTech (n = 8) and Moderna (n = 4) vaccines, with 7 studies examining 2 doses, 2 studies examining 2nd and booster doses, and 1 study examining booster dose in reducing COVID-19 morbidity and mortality during the prevalence of Delta (B.1.617.2) and Omicron (B.1.1.529/BA) ...
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Background: As of 31 December 2022, there were over 6.6 million coronavirus disease 2019 (COVID-19) deaths and over 651 million cases across 200 countries worldwide. Despite the increase in vaccinations and booster shots, COVID-19 cases and deaths continue to remain high. While the effectiveness of these vaccines has already been established by different manufacturers, the fact remains that these vaccines were created quickly for global emergency use, tested under controlled clinical conditions from voluntary subjects and age groups whose general characteristics may differ from the actual general population. Aim: To conduct a systematic review to determine the real-world effectiveness of mRNA COVID-19 vaccines in the elderly during the predominance of Delta and Omicron variants in preventing COVID-19 related infection, hospital, intensive care unit (ICU) admission and intubation, and death. Methods: A combination of Medical Subject Headings and non-Medical Subject Headings was carried out to identify all relevant research articles that meets the inclusion and exclusion criteria from PubMed, Cochrane, CINAHL, Scopus, ProQuest, Embase, Web of Science, and Google Scholar databases, as well as qualified research studies from pre-print servers using medRxiv and Research Square, published from January 1, 2021 - December 31, 2022. Results: As per the inclusion and exclusion criteria, the effectiveness of Pfizer-BioNTech and Moderna vaccines were evaluated from an estimated total study population of 26,535,692 using infection, hospital, ICU admission and intubation, and death as outcome measures from studies published between 2021 and 2022, conducted in New York, Finland, Canada, Costa Rica, Qatar, Greece, and Brazil. The risk of bias was evaluated using risk of bias in nonrandomized studies of interventions (ROBINS-I) tool for cohort, case-control, and cross-sectional studies. While clinical trial data on Pfizer-BioNTech and Moderna vaccines demonstrated 94% vaccine effectiveness in the elderly, the results in this study showed that vaccine effectiveness in real-world settings is marginally lower against infection (40%-89%), hospitalization (92%), ICU admission and intubation (98%-85%), and death (77%-87%) with an indication of diminished effectiveness of vaccine over time. Furthermore, 2 doses of mRNA vaccines are inadequate and only provides interim protection. Conclusion: Because of the natural diminishing effectiveness of the vaccine, the need for booster dose to restore its efficacy is vital. From a research perspective, the use of highly heterogeneous outcome measures inhibits the comparison, contrast, and integration of the results which makes data pooling across different studies problematic. While pharmaceutical intervention like vaccination is important to fight an epidemic, utilizing common outcome measurements or carrying out studies with minimal heterogeneity in outcome measurements, is equally crucial to better understand and respond to an international health crisis.
... Data on the effectiveness of these additional boosters are sparse and do not predict the duration of continued protection. Data on additional booster doses are available only for mRNA vaccines [53]. ...
... variant. The first dose of COVID-19 has been deemed ineffective against Omicron infection, but the vaccine effectiveness against second, third, and fourth doses increases and will be assumed to be 0.06, 0.39, and 0.49, respectively (21,22). To be more generic, the COVID-19 vaccine effectiveness in our model is defined as follows: where ef 1 , ef 2 , ef 3 , and ef 4 represent the effectiveness of doses 1, 2, 3, and 4, respectively, against infection and ρ 1 , ρ 2 , ρ 3 , and ρ 4 represent vaccine coverage with doses 1, 2, 3, and 4, respectively. ...
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The co-circulation of two respiratory infections with similar symptoms in a population can significantly overburden a healthcare system by slowing the testing and treatment. The persistent emergence of contagious variants of SARS-CoV-2, along with imperfect vaccines and their waning protections, have increased the likelihood of new COVID-19 outbreaks taking place during a typical flu season. Here, we developed a mathematical model for the co-circulation dynamics of COVID-19 and influenza, under different scenarios of influenza vaccine coverage, COVID-19 vaccine booster coverage and efficacy, and testing capacity. We investigated the required minimal and optimal coverage of COVID-19 booster (third) and fourth doses, in conjunction with the influenza vaccine, to avoid the coincidence of infection peaks for both diseases in a single season. We show that the testing delay brought on by the high number of influenza cases impacts the dynamics of influenza and COVID-19 transmission. The earlier the peak of the flu season and the greater the number of infections with flu-like symptoms, the greater the risk of flu transmission, which slows down COVID-19 testing, resulting in the delay of complete isolation of patients with COVID-19 who have not been isolated before the clinical presentation of symptoms and have been continuing their normal daily activities. Furthermore, our simulations stress the importance of vaccine uptake for preventing infection, severe illness, and hospitalization at the individual level and for disease outbreak control at the population level to avoid putting strain on already weak and overwhelmed healthcare systems. As such, ensuring optimal vaccine coverage for COVID-19 and influenza to reduce the burden of these infections is paramount. We showed that by keeping the influenza vaccine coverage about 35% and increasing the coverage of booster or fourth dose of COVID-19 not only reduces the infections with COVID-19 but also can delay its peak time. If the influenza vaccine coverage is increased to 55%, unexpectedly, it increases the peak size of influenza infections slightly, while it reduces the peak size of COVID-19 as well as significantly delays the peaks of both of these diseases. Mask-wearing coupled with a moderate increase in the vaccine uptake may mitigate COVID-19 and prevent an influenza outbreak.
... Currently, most studies on VE of booster doses are based on mRNA vaccines; data for inactivated or viral vector vaccines remain sparse [93,94]. Studies from Israel [95][96][97][98][99] and Canada [100] during an Omicron-dominant period found that the VE of a fourth-dose mRNA vaccine depended on the VE initially achieved by the three-dose schedule and the extent of waning that occurred thereafter. However, these studies were limited by a short follow-up of up to ten weeks after the fourth dose. ...
Article
Full-text available
Introduction COVID-19 vaccines have been highly effective in reducing morbidity and mortality during the pandemic. However, the emergence of the Omicron variant and subvariants as the globally dominant strains have raised doubts about the effectiveness of currently available vaccines and prompted debate about potential future vaccination strategies. Areas covered Using the publicly available IVAC VIEW-hub platform, we reviewed 52 studies on vaccine effectiveness (VE) after booster vaccinations. VE were reported for SARS-CoV-2 symptomatic infection, severe disease and death and stratified by vaccine schedule and age. In addition, a non-systematic literature review of safety was performed to identify single or multi-country studies investigating adverse event rates for at least two of the currently available COVID-19 vaccines. Expert opinion Booster shots of the current COVID-19 vaccines provide consistently high protection against Omicron-related severe disease and death. Additionally, this protection appears to be conserved for at least 3 months, with a small but significant waning after that. The positive risk-benefit ratio of these vaccines is well established, giving us confidence to administer additional doses as required. Future vaccination strategies will likely include a combination of schedules based on risk profile, as overly frequent boosting may be neither beneficial nor sustainable for the general population.
... Some residents of long-term care facilities have already benefitted from a fourth dose. 10 To date it remains unclear at which timepoint additional booster doses should be offered to residents of long-term care ...
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Background COVID-19 vaccine effectiveness (VE) studies are increasingly reporting relative VE (rVE) comparing a primary series plus booster doses to a primary series only. Interpretation of rVE differs from traditional studies measuring absolute VE (aVE) of a vaccine regimen against an unvaccinated referent group. We estimated aVE and rVE against COVID-19 hospitalization in primary-series plus first booster recipients of COVID-19 vaccines. Methods Booster-eligible immunocompetent adults hospitalized at 21 medical centers in the United States during December 25, 2021–April 4, 2022, were included. In a test negative design, logistic regression with case status as the outcome and completion of primary vaccine series or primary series plus one booster dose as the predictors, adjusted for potential confounders, were used to estimate aVE and rVE. Results A total of 2,060 patients were analyzed, including 1,104 COVID-19 cases and 956 controls. Relative VE (95% confidence interval) against COVID-19 hospitalization in boosted mRNA vaccine recipients vs primary series only was 66% (55%–74%); aVE was 81% (75%–86%) for boosted vs 46% (30%–58%) for primary. For boosted Janssen vaccine recipients vs primary series, rVE was 49% (-9%–76%); aVE was 62% (33%–79%) for boosted vs 36% (-4%–60%) for primary. Conclusions Vaccine booster doses increased protection against COVID-19 hospitalization compared to a primary series. Comparing rVE measures across studies can lead to flawed interpretations of the added value of a new vaccination regimen, whereas difference in aVE, when available, may be a more useful metric.
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(1) Background: Viral respiratory infections are common triggers for asthma exacerbation, often leading patients to the emergency department (ED). COVID-19, the disease caused by the SARS-CoV-2 virus, typically presents with respiratory symptoms, from minor symptoms, up to and including severe acute respiratory failure. Data on the association between asthma and COVID-19 are conflicting, and those from an ED setting are scarce. Our aims were to assess the prevalence and outcome of patients with asthma admitted to the ED for COVID-19. (2) Methods: We performed a case-control study, extracting data from a registry of adult patients with confirmed COVID-19 consecutively admitted to the ED of our hospital between March 2020 and January 2021. (3) Results: We identified 83 patients with asthma out of 935 individuals (prevalence 8.9%). There were no significant differences between cases and controls regarding both the proportion of hospital admissions and patients with critical COVID-19. (OR 1.37; 95% CI 0.52–3.56; and (OR 0.74; 95% CI 0.31–1.78 respectively). (4) Conclusions: In patients admitted to the ED for COVID-19, the prevalence of asthma was not higher than expected, and asthma was not associated with a worse outcome, in terms of the rate of hospitalization and critical COVID-19 disease.
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Background: On January 2, 2022, Israel began administering a fourth dose of BNT162b2 vaccine to persons 60 years of age or older. Data are needed regarding the effect of the fourth dose on rates of confirmed severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) infection and of severe coronavirus disease 2019 (Covid-19). Methods: Using the Israeli Ministry of Health database, we extracted data on 1,252,331 persons who were 60 years of age or older and eligible for the fourth dose during a period in which the B.1.1.529 (omicron) variant of SARS-CoV-2 was predominant (January 10 through March 2, 2022). We estimated the rate of confirmed infection and severe Covid-19 as a function of time starting at 8 days after receipt of a fourth dose (four-dose groups) as compared with that among persons who had received only three doses (three-dose group) and among persons who had received a fourth dose 3 to 7 days earlier (internal control group). For the estimation of rates, we used quasi-Poisson regression with adjustment for age, sex, demographic group, and calendar day. Results: The number of cases of severe Covid-19 per 100,000 person-days (unadjusted rate) was 1.5 in the aggregated four-dose groups, 3.9 in the three-dose group, and 4.2 in the internal control group. In the quasi-Poisson analysis, the adjusted rate of severe Covid-19 in the fourth week after receipt of the fourth dose was lower than that in the three-dose group by a factor of 3.5 (95% confidence interval [CI], 2.7 to 4.6) and was lower than that in the internal control group by a factor of 2.3 (95% CI, 1.7 to 3.3). Protection against severe illness did not wane during the 6 weeks after receipt of the fourth dose. The number of cases of confirmed infection per 100,000 person-days (unadjusted rate) was 177 in the aggregated four-dose groups, 361 in the three-dose group, and 388 in the internal control group. In the quasi-Poisson analysis, the adjusted rate of confirmed infection in the fourth week after receipt of the fourth dose was lower than that in the three-dose group by a factor of 2.0 (95% CI, 1.9 to 2.1) and was lower than that in the internal control group by a factor of 1.8 (95% CI, 1.7 to 1.9). However, this protection waned in later weeks. Conclusions: Rates of confirmed SARS-CoV-2 infection and severe Covid-19 were lower after a fourth dose of BNT162b2 vaccine than after only three doses. Protection against confirmed infection appeared short-lived, whereas protection against severe illness did not wane during the study period.
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The Omicron (B.1.1.529) variant of SARS-CoV-2 (severe acute respiratory syndrome coronavirus 2) was only recently detected in southern Africa, but its subsequent spread has been extensive, both regionally and globally¹. It is expected to become dominant in the coming weeks², probably due to enhanced transmissibility. A striking feature of this variant is the large number of spike mutations³ that pose a threat to the efficacy of current COVID-19 (coronavirus disease 2019) vaccines and antibody therapies⁴. This concern is amplified by the findings from our study. We found B.1.1.529 to be markedly resistant to neutralization by serum not only from convalescent patients, but also from individuals vaccinated with one of the four widely used COVID-19 vaccines. Even serum from persons vaccinated and boosted with mRNA-based vaccines exhibited substantially diminished neutralizing activity against B.1.1.529. By evaluating a panel of monoclonal antibodies to all known epitope clusters on the spike protein, we noted that the activity of 17 of the 19 antibodies tested were either abolished or impaired, including ones currently authorized or approved for use in patients. In addition, we also identified four new spike mutations (S371L, N440K, G446S, and Q493R) that confer greater antibody resistance to B.1.1.529. The Omicron variant presents a serious threat to many existing COVID-19 vaccines and therapies, compelling the development of new interventions that anticipate the evolutionary trajectory of SARS-CoV-2.
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The Omicron variant of the severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) has become widespread across the world in a flashing manner. As of December 7, 2021, a total of 758 Omicron cases were confirmed in Denmark. Using the nucleotide sequences of the Delta and Omicron variants registered from Denmark in the GISAID database, we found that the effective (instantaneous) reproduction number of Omicron is 3.19 (95%CI 2.82–3.61) times greater than that of Delta under the same epidemiological conditions. Proportion of Omicron infections among all SARS-CoV-2 infections in Denmark was expected exceed the 95% on December 28, 2021 with a 95% CI from December 25 to December 31, 2021. Given that the Delta variant or variants less transmissible than Delta are dominant in most countries, the rapid increase in Omicron in the virus population may be observed as soon as the Omicron is introduced. Preparing proactive control measures is vital, assuming the substantial advantage of the transmission by Omicron. This article is protected by copyright. All rights reserved.
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Prioritizing Ontario’s long-term care home (LTCH) residents for vaccination against severe acute respiratory syndrome coronavirus 2 has drastically reduced their disease burden; however, recent LTCH outbreaks of variants of concern (VOCs) have raised questions regarding their immune responses. In 198 residents, mRNA vaccine dose 1 elicited partial spike and receptor binding domain antibody responses, while the second elicited a response at least equivalent to convalescent individuals in most residents. Residents administered mRNA-1273 (Moderna) mounted stronger total and neutralizing antibody responses than those administered BNT162b2 (Pfizer-BioNTech). Two to four weeks after dose 2, residents ( n = 119, median age 88) produced 4.8–6.3-fold fewer neutralizing antibodies than staff ( n = 78; median age 47) against wild-type (with D614G) pseudotyped lentivirus, and residents administered BNT162b2 produced 3.89-fold fewer neutralizing antibodies than those who received mRNA-1273. These effects were exacerbated upon serum challenge with pseudotyped VOC spike, with up to 7.94-fold reductions in B.1.351 (Beta) neutralization. Cumulatively, weaker vaccine stimulation, age/comorbidities, and the VOC produced an ∼130-fold reduction in apparent neutralization titers in LTCH residents and 37.9% of BNT162b2-vaccinated residents had undetectable neutralizing antibodies to B.1.351. Continued immune response surveillance and additional vaccine doses may be required in this population with known vulnerabilities.
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Objectives Rapid review to determine the magnitude of association between potential risk factors and severity of COVID-19, to inform vaccine prioritisation in Canada. Setting Ovid MEDLINE(R) ALL, Epistemonikos COVID-19 in L·OVE Platform, McMaster COVID-19 Evidence Alerts and websites were searched to 15 June 2020. Eligible studies were conducted in high-income countries and used multivariate analyses. Participants After piloting, screening, data extraction and quality appraisal were performed by a single experienced reviewer. Of 3740 unique records identified, 34 were included that reported on median 596 (range 44–418 794) participants, aged 42–84 years. 19/34 (56%) were good quality. Outcomes Hospitalisation, intensive care unit admission, length of stay in hospital or intensive care unit, mechanical ventilation, severe disease, mortality. Results Authors synthesised findings narratively and appraised the certainty of the evidence for each risk factor–outcome association. There was low or moderate certainty evidence for a large (≥2-fold) magnitude of association between hospitalisation in people with COVID-19, and: obesity class III, heart failure, diabetes, chronic kidney disease, dementia, age >45 years, male gender, black race/ethnicity (vs non-Hispanic white), homelessness and low income. Age >60 and >70 years may be associated with large increases in mechanical ventilation and severe disease, respectively. For mortality, a large magnitude of association may exist with liver disease, Bangladeshi ethnicity (vs British white), age >45 years, age >80 years (vs 65–69 years) and male gender among 20–64 years (but not older). Associations with hospitalisation and mortality may be very large (≥5-fold) for those aged ≥60 years. Conclusions Increasing age (especially >60 years) may be the most important risk factor for severe outcomes. High-quality primary research accounting for multiple confounders is needed to better understand the magnitude of associations for severity of COVID-19 with several other factors. PROSPERO registration number CRD42020198001.
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In this paper, individually reported long-term care (LTC) quality indicators have been supplemented with the composite Qindex measure and applied to 614 homes in Ontario, Canada. This study (1) describes the overall quality performance of LTC homes across five years (2012-2017) and (2) determines if organizational factors impact quality performance. The results demonstrate significant, continuous sector-wide improvement in overall quality performance (as assessed by the Qindex) over time and significant differences in quality based on home size, operator size and ownership. This paper positions the Qindex, a global metric of quality, as a valuable tool for quality measurement and management in the LTC sector.
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Objectives: To establish if proprietary status (ie, for-profit or not-for-profit) is associated with mortality and hospitalizations among publicly funded long-term care (nursing) homes. Methods: We conducted a retrospective cohort study of new admissions in 640 publicly funded long-term care facilities in Ontario, Canada (384 for-profit, 256 not-for-profit). A population-based cohort of 53,739 incident admissions into long-term care facilities between January 1, 2010, and March 1, 2012, was observed. We measured adjusted rates of hospital admissions and mortality, per 1000 person-years (PY) of follow-up, among for-profit and not-for-profit facilities at 3, 6, and 12 months postadmission. Rates were measured postadmission and until discharge or death, whichever came first. Results: One year after admission and before discharge, 11.7% of residents died and 25.7% had at least one hospitalization. After 12 months of follow-up, residents in for-profit facilities had a hospitalization rate of 462 per 1000 PY versus 358 per 1000 PY in not-for-profit facilities. During this period, the crude mortality rate in for-profit facilities was 208 per 1000 PY versus 185 per 1000 PY in not-for-profit facilities. At 3, 6, and 1 year after admission, for-profit facilities had an adjusted hazard ratio of 1.36 (95% confidence interval [CI] 1.28-1.43), 1.33 (95% CI 1.27-1.39), and 1.25 (95% CI 1.21-1.30) for hospitalizations and hazards of 1.20 (95% CI 1.11-1.29), 1.16 (95% CI 1.09-1.24), and 1.10 (95% CI 1.05-1.16) for mortality, respectively. Conclusions: Publicly funded for-profit facilities have significantly higher rates of both mortality and hospital admissions.
Preprint
Objectives The rapid spread of the Omicron variant (B.1.1.529) alongside evidence of a relatively rapid waning of the third dose prompted Israel to administer a fourth dose of the BNT162b2 vaccine on January 2022. Thus far, sufficient real-world evidence demonstrating the effectiveness of a fourth dose against infection and severe COVID-19 are lacking. This study examined the short-term effectiveness of a fourth dose compared to three doses over the span of 10 weeks. Design A retrospective test-negative case-control study, performing both a matched analysis and an unmatched multiple-tests analysis. Setting Nationally centralized database of Maccabi Healthcare Services (MHS), an Israeli national health fund that covers 2.5 million people. Participants The study population included 97,499 MHS members aged 60 or older who were eligible to receive a fourth vaccine dose and performed at least one PCR test during the study period. Of them, 27,876 received the fourth dose and 69,623 received only three doses. Main outcomes and measures Analyses focused on the period from January 10, 2022 (7 days after the fourth dose was first administered to eligible individuals) to March 13, 2022, an Omicron-dominant period in Israel. We evaluated two SARS-CoV-2-related outcomes: (1) breakthrough infection, defined as a positive PCR test performed 7 or more days after inoculation with the BNT162b2 vaccine; and (2) breakthrough infection resulting in a severe disease, defined as COVID-19-related hospitalization or COVID-19 associated mortality. Results A fourth dose provided considerable additional protection against both SARS-CoV-2 infection and severe disease relative to three doses of the vaccine. However, vaccine effectiveness against infection varied over time, peaking during the third week with a VE of 64% (95% CI: 62.0%-65.9%) and declining to 29.2% (95% CI: 17.7%-39.1%) by the end of the 10-week follow-up period. Unlike VE against infection, the relative effectiveness of a fourth dose against severe COVID-19 was maintained at high level (>73%) throughout the 9-week follow-up period. Importantly, severe disease was a relatively rare event, occurring in <1% of both fourth dose and third dose only recipients. Conclusions A fourth dose of the BNT162b2 vaccine provided considerable additional protection against both SARS-CoV-2 infection and severe disease relative to three doses of the vaccine. However, effectiveness of the fourth dose against infection wanes sooner than that of the third dose.
Article
Background: A rapid increase in coronavirus disease 2019 (Covid-19) cases due to the omicron (B.1.1.529) variant of severe acute respiratory syndrome coronavirus 2 in highly vaccinated populations has aroused concerns about the effectiveness of current vaccines. Methods: We used a test-negative case-control design to estimate vaccine effectiveness against symptomatic disease caused by the omicron and delta (B.1.617.2) variants in England. Vaccine effectiveness was calculated after primary immunization with two doses of BNT162b2 (Pfizer-BioNTech), ChAdOx1 nCoV-19 (AstraZeneca), or mRNA-1273 (Moderna) vaccine and after a booster dose of BNT162b2, ChAdOx1 nCoV-19, or mRNA-1273. Results: Between November 27, 2021, and January 12, 2022, a total of 886,774 eligible persons infected with the omicron variant, 204,154 eligible persons infected with the delta variant, and 1,572,621 eligible test-negative controls were identified. At all time points investigated and for all combinations of primary course and booster vaccines, vaccine effectiveness against symptomatic disease was higher for the delta variant than for the omicron variant. No effect against the omicron variant was noted from 20 weeks after two ChAdOx1 nCoV-19 doses, whereas vaccine effectiveness after two BNT162b2 doses was 65.5% (95% confidence interval [CI], 63.9 to 67.0) at 2 to 4 weeks, dropping to 8.8% (95% CI, 7.0 to 10.5) at 25 or more weeks. Among ChAdOx1 nCoV-19 primary course recipients, vaccine effectiveness increased to 62.4% (95% CI, 61.8 to 63.0) at 2 to 4 weeks after a BNT162b2 booster before decreasing to 39.6% (95% CI, 38.0 to 41.1) at 10 or more weeks. Among BNT162b2 primary course recipients, vaccine effectiveness increased to 67.2% (95% CI, 66.5 to 67.8) at 2 to 4 weeks after a BNT162b2 booster before declining to 45.7% (95% CI, 44.7 to 46.7) at 10 or more weeks. Vaccine effectiveness after a ChAdOx1 nCoV-19 primary course increased to 70.1% (95% CI, 69.5 to 70.7) at 2 to 4 weeks after an mRNA-1273 booster and decreased to 60.9% (95% CI, 59.7 to 62.1) at 5 to 9 weeks. After a BNT162b2 primary course, the mRNA-1273 booster increased vaccine effectiveness to 73.9% (95% CI, 73.1 to 74.6) at 2 to 4 weeks; vaccine effectiveness fell to 64.4% (95% CI, 62.6 to 66.1) at 5 to 9 weeks. Conclusions: Primary immunization with two doses of ChAdOx1 nCoV-19 or BNT162b2 vaccine provided limited protection against symptomatic disease caused by the omicron variant. A BNT162b2 or mRNA-1273 booster after either the ChAdOx1 nCoV-19 or BNT162b2 primary course substantially increased protection, but that protection waned over time. (Funded by the U.K. Health Security Agency.).