Methods
Data sources, study design, and cohort specification
In all three countries (Denmark, Finland, and Sweden), we linked personal and healthcare data in different nationwide registries by using the country specific unique identifiers assigned to all residents. Hence we retrieved individual level information on covid-19 vaccinations, hospital admissions, recorded disease diagnoses, laboratory confirmed SARS-CoV-2 infection by a positive polymerase chain reaction (PCR) test result, and patient characterisitcs (age, sex, residency, healthcare occupation, and vital status; online supplemental tables S1 and S2 have more details).
We designed this non-interventional study based on the target trial emulation framework. Specifically, we compared the rates of hospital admissions and deaths related to covid-19 disease according to whether individuals received or did not receive the XBB.1.5 containing vaccine as an additional covid-19 dose during the study period, 1 October 2023 to 21 April 2024. Online supplemental table S3 lists the key components of the pragmatic target trial specification and emulation.9 10 In the three Nordic countries, the XBB sublineage (particularly EG.5.1) was predominant until the end of November 2023, and then the BA.2.86 sublineage (particularly JN.1) was predominant for the rest of the study period. The autumn and winter 2023-24 covid-19 wave peaked at around mid-November until mid-December 2023.
Eligibility criteria, assessed at the start of the study period, were specified to construct a cohort representative of the general population targeted for vaccination with the XBB.1.5 containing vaccine during the autumn and winter of 2023-24, according to the national covid-19 vaccination strategies: age ≥65 years, residency in Denmark, Finland, or Sweden (to ensure a linkable identifier), no previous hospital admissions for covid-19 disease at any time, and received ≥4 doses of previous covid-19 vaccines (AZD1222, BNT162b2, or mRNA-1273 vaccines only; AZD1222 as part of the primary vaccination course only).
Outcomes
We defined hospital admissions for covid-19 as any first inpatient hospital admission with a registered diagnosis related to covid-19 and a positive PCR test result for the SARS-CoV-2 virus (positive test result within 14 days before to two days after the day of admission). Death related to covid-19 was defined as any death within 30 days of a positive PCR test result for the SARS-CoV-2 virus. The two outcomes were studied separately; day of admission or death was the respective event date. Online supplemental table S4 has more details of definitions of outcomes.
Procedures
Individuals receiving an XBB.1.5 containing vaccine dose during the study period (1 October 2023 to 21 April 2024) were matched on day 8 after the day of vaccination (ie, after one week, to ensure full immunisation) with individuals who had not received an additional dose up until and including this day. We matched recipients of the XBB.1.5 containing vaccine with non-recipients, 1:1, by exact matching without replacement on age (in five year categories), calendar time of last previous dose of covid-19 vaccine received (in monthly categories; eg, the month of receiving the fourth, fifth, or sixth dose for matched pairs where the XBB.1.5 containing vaccine was given as a fifth, sixth, or seventh dose, respectively), sex, region of residence, vaccination priority groups (ie, individuals considered at high risk of severe covid-19 and healthcare staff), and number of selected comorbidities (by 0, 1, 2, or ≥3 of chronic pulmonary disease, cardiovascular conditions, diabetes, autoimmunity related conditions, cancer, and moderate to severe renal disease; online supplemental table S2 and figure S2) by the number of previous covid-19 vaccine doses received.
The day the XBB.1.5 containing vaccine was given within each matched pair was the index date for both individuals. We followed individuals from one week after the index date for outcome events until 24 weeks of follow-up had passed (ie, 175 days since the index date), receipt of an additional covid-19 vaccine dose, death, emigration, or end of the study period (21 April 2024), whichever occurred first. Also, if an individual who was included as a matched non-recipient received a covid-19 vaccine later than the assigned index date, follow-up was censored for the current matched pair, and the now vaccinated individual could potentially re-enter the study as an XBB.1.5 containing vaccine recipient in a new matched pair on that given date (specifically, day 8 after vaccination) if successfully matched to another non-recipient. Online supplemental figure S1 illustrates our study design.
Statistical analysis
We used the Aalen-Johansen estimator to obtain cumulative incidences of the outcomes among recipients and non-recipients of the XBB-1.5 containing vaccine; any death and non-covid-19 related death served as a competing risk for the analysis of hospital admissions and deaths related to covid-19, respectively. Relative (ie, comparative vaccine effectiveness, calculated as 1–risk ratio) and absolute (ie, estimated number of outcome events prevented by vaccination, reported per 100 000 individuals) risk differences were calculated from the cumulative incidences at the 24 week follow-up. The corresponding 95% confidence intervals (CIs) were calculated with the delta method; upper 95% CIs for the comparative vaccine effectiveness estimates were truncated at 100% if higher. We combined country specific estimates by random effects meta-analyses implemented with the mixmeta package in R.11 This method allows for potential heterogeneity in effect across countries when combined, reflected by the precision of the 95% CIs from the meta-analysis. Counts <5 could not be reported owing to privacy regulations, whereas zero could be reported.
Subgroup analyses were done by sex (women v male), age groups (64-75 v ≥75 years), number of doses of previous covid-19 vaccines (ie, the XBB.1.5 containing vaccine received as the fifth, sixth, or seventh dose; ≥eighth dose was too few for separate analysis), and seasonal influenza vaccination (co-administered on the same date, received influenza vaccine within one week before to one week after the XBB.1.5 containing vaccine but not on the same day, and no influenza vaccine received within one week before to one week after receipt of the XBB.1.5 containing vaccine). Variant specific comparative effectiveness was assessed at the six week follow-up and by grouping calendar time to before (XBB lineage, mainly EG.5.1 predominant) and after (BA.2.86 lineage, mainly JN.1 predominant) 30 November 2023. Given the short overlap in time where the XBB lineage was predominant and the vaccine was given, the variant specific analysis only had six weeks of follow-up (to standardise follow-up length for the two sublineage periods).
Changes in comparative vaccine effectiveness during follow-up (ie, waning vaccine immunity) were assessed by dividing the follow-up period into three week intervals for both recipients and non-recipients. This method was used to estimate cumulative incidences with the Aalen-Johansen estimator to obtain estimates for comparative vaccine effectiveness for each three week period separately. These estimates were then meta-analysed and we subsequently fitted a linear regression, where the slope coefficient represented the percentage point change in comparative vaccine effectiveness for each three week period.12 Sensitivity analyses included not considering death as a competing risk (ie, with the Kaplan-Meier estimator; we also included an analysis of the competing risk as an outcome), starting follow-up three weeks after the index date (to further reduce the potential of transient healthy vaccine effect around the time of vaccination as well as the possible spillover effect from a delay between infection and the onset of severe disease), and examining three negative control outcomes (diverticular disease, clavicle fracture, and low back pain13).14
Patient and public involvement
No patients or members of the public were formally involved in defining the research question, study design, or outcome measures, or in the conduct of the study, owing to privacy constraints, funding restrictions, and the short timeline during which the study was conducted. Studied participants were anonymised in the data sources used and therefore direct dissemination to study participants is not possible. The study results will be disseminated to the public and health professionals by a press release written in layman’s language.