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. 2024 Oct 31;29(44):2400680. doi: 10.2807/1560-7917.ES.2024.29.44.2400680

Effectiveness of the autumn 2023 COVID-19 vaccine dose in hospital-based healthcare workers: results of the VEBIS healthcare worker vaccine effectiveness cohort study, seven European countries, season 2023/24

Camelia Savulescu 1,2, Albert Prats-Uribe 1,2, Kim Brolin 3, Anneli Uusküla 4, Colm Bergin 5, Catherine Fleming 6, Rita Murri 7,8, Viesturs Zvirbulis 9, Dace Zavadska 10, Vania Gaio 11, Corneliu P Popescu 12,13, Raluca Hrisca 14, Maria Cisneros 15,16, Miriam Latorre-Millán 17, Liis Lohur 18, Jonathan McGrath 5, Lauren Ferguson 6, Katleen De Gaetano Donati 7,8, Ilze Abolina 9, Dagne Gravele 10, Ausenda Machado 11, Simin-Aysel Florescu 12,13, Mihaela Lazar 19, Pilar Subirats 20, Laura Clusa Cuesta 17, Jacklyn Sui 5, Claire Kenny 6, Rosaria Santangelo 7,8, Dainis Krievins 9, Elza Anna Barzdina 10, Camila Valadas Henriques 21, Alma Gabriela Kosa 12, Saftica-Mariana Pohrib 14, Carmen Muñoz-Almagro 15,16,22, Ana Milagro 17, Sabrina Bacci 3, Anthony Nardone 1; VEBIS HCW VE study group23; Collaborators in VEBIS HCW study group, Hanna Sepp, Lisa Domegan, Joan O’Donell, Maeve Kernan, Anna Moriarty, Conor Moran, Giulia De Angelis, Silvia Lamonica, Giulia Menchinelli, Cinzia Recine, Silvia Zelli, Alice Tondinelli, Benedetta Falasca, Janis Meisters, Laura Zemite, Hilda Darta Snipe, Estere Ergle, Ana Palmira Amaral, João Almeida Santos, Daniela Dias, Licinia Gomes, Miguel Lança, Henrique Carvalho, Jose Alves, Daniel R Codreanu, Alexandru Marin, Amaresh Pérez-Arguello, Iolanda Jordan, Juan Jose Garcia-Garcia, Antonio Rezusta, Alexander Tristancho, Ignacio Ezpeleta, Sandra Dueñas, Noelia Terren, Tamara Valero, Nieves Felisa Martínez, Yolanda Gracia, David Martínez, Beatriz Gilaberte, Cristina Carrasco, Carmen Martínez, Maria Pilar Rubio, Maria Gemma Martínez, Bruno del Moral, Ana Maria Sabio, Raquel Guiomar, Aryse Melo, Francisco Pozo, Ranya Mulchandani, Madelyn Rojas
PMCID: PMC11528902  PMID: 39484687

Abstract

COVID-19 vaccination recommendations include healthcare workers (HCWs). We measured COVID-19 vaccine effectiveness (CVE) of the autumn 2023 dose against laboratory-confirmed SARS-CoV-2 infection in a prospective cohort study of 1,305 HCWs from 13 European hospitals. Overall CVE was 22% (95% CI: −17 to 48), 49% (95% CI: −8 to 76) before and −11% (95% CI: −84 to 34) after the start of BA.2.86/JN.1 predominant circulation. Autumn 2023 COVID-19 vaccination led to a moderate-to-low reduction in SARS-CoV-2 infection incidence in HCWs. Monitoring of CVE is crucial for COVID-19 prevention.

Keywords: Vaccine effectiveness, COVID-19, SARS-CoV-2, Healthcare workers, Europe


COVID-19 vaccination recommendations prioritise healthcare workers (HCWs), considering their exposure to severe acute respiratory coronavirus 2 (SARS-CoV-2) and their key role in the functioning of healthcare systems. In the European Union/European Economic Area (EU/EEA), HCWs were considered a priority for COVID-19 revaccination during the autumn 2023 campaign [1], and the World Health Organization (WHO) recommended revaccination of HCWs 12 months after their last dose [2]. Because the Omicron sub-lineage XBB.1.5 predominated in spring 2023, the COVID-19 vaccines were adapted to target this emerging strain, and the first XBB.1.5 vaccine was authorised for use in the EU/EEA in August 2023. Omicron BA.2.86/JN.1 emerged in the EU/EEA at the end of 2023, according to data available on the European Respiratory Virus Surveillance Summary (ERVISS) [3]. Evidence for COVID-19 vaccine recommendation in the HCW population remains scarce. Within the Vaccine Effectiveness, Burden and Impact (VEBIS) project, we aimed to measure the COVID-19 vaccine effectiveness (CVE) in HCWs, in the winter season 2023/24.

VEBIS healthcare worker cohort

In this prospective cohort study [4], we recruited HCWs from 13 hospitals in seven countries (Estonia, Ireland, Italy, Latvia, Portugal, Romania, and Spain). At a weekly follow-up, HCWs provided nasopharyngeal or saliva samples to detect incident SARS-CoV-2 infections and completed a questionnaire to update vaccination and exposure information. We excluded HCWs who did not provide informed consent, missed important information for analysis (e.g. vaccination status and laboratory results) or presented discordant serology and virology results.

Definition of exposures, outcomes, covariates

We defined current vaccination as HCWs who received a dose of any COVID-19 vaccine brand during the autumn 2023 campaign and unvaccinated as HCWs who did not receive a vaccine dose during this campaign, regardless of the number of doses and timing of previous vaccination(s). We stratified previous vaccination in (i) more than 365 days or unvaccinated before the autumn 2023 vaccination campaign and (ii) 90–365 days before the autumn 2023 campaign. We grouped the time since current vaccination in 7–59, 60–119 and ≥ 120 days.

The main outcome of the study was time to the first incident SARS-CoV-2 infection, detected by RT-PCR, regardless of symptoms. Secondary outcomes included symptomatic and asymptomatic COVID-19 in HCWs, depending on whether or not symptoms were reported from 14 days before to 7 days after the first positive test.

Recent previous SARS-CoV-2 infection was defined as self-reported SARS-CoV-2 infection after 1 November 2022 (the month with the start of predominant circulation of Omicron XBB sub-lineage in the participating countries). Non-recent previous infection was defined as self-reported previous SARS-CoV-2 infection before 1 November 2022. We excluded from all analyses a period of 60 days after a positive RT-PCR sample [5].

Vaccine effectiveness analysis

First, we measured the CVE of the autumn 2023 vaccine dose, comparing the current vaccinated with unvaccinated HCWs. In secondary analyses, we measured the CVE by time since previous vaccination, by time since current vaccination, by recent previous infection overall, and by symptomatic status of the SARS-CoV-2 infection, stratified before and after the start of predominant circulation of the Omicron BA.2.86/JN.1 virus sub-lineage. Using Cox regression, we calculated effectiveness as:

CVE = (1 − hazard ratio of current vaccination) × 100.

We adjusted the CVE for hospital, age, sex, at least one underlying condition, and recent SARS-CoV-2 infection.

Descriptive and vaccine effectiveness results

Between October 2023 and May 2024, out of 1,483 HCWs approached, 1,477 were enrolled, ranging from 160 in Italy to 304 in Romania. After applying the inclusion and exclusion criteria, 1,305 HCWs remained in the CVE analysis (Figure 1). Vaccinated HCWs were more likely to be older or to work as medical doctors, and less likely to be female or current smokers (Table 1).

Figure 1.

Inclusion and exclusion criteria, VEBIS healthcare worker multicentre cohort study on COVID-19 vaccine effectiveness, seven European countries, season 2023/24 (n = 1,483)

HCW: healthcare worker.

a HCWs could contribute to both vaccinated and unvaccinated groups.

Figure 1

Table 1. Main characteristics of participants at enrolment by vaccination status, VEBIS healthcare worker multicentre cohort study on COVID-19 vaccine effectiveness, seven European countries, season 2023/24 (n = 1,305).

Characteristic Vaccinated in season 2023/24 (n = 300) Not vaccinated in season 2023/24 (n = 1,005)
   n %    n   %
Sex
Female 235 78.3 849 84.5
Male 65 21.7 156 15.5
Age group (years)
18–34 40 13.3 224 22.3
35–39 33 11.0 111 11.1
40–44 47 15.7 143 14.2
45–49 52 17.3 177 17.6
50–54 42 14.0 154 15.3
≥ 55 86 28.7 196 19.5
Role
Medical doctor 53 17.7 161 16.0
Nurse 74 24.7 491 48.9
Administration/reception 48 16.0 134 13.3
Ancillary 8 2.7 40 4.0
Allied 10 3.3 23 2.3
Laboratory 13 4.3 47 4.7
Other 38 12.7 98 9.8
Missing 56 18.7 11 1.1
Smoking
Never smoked 170 56.7 509 50.6
Ex-smoker 70 23.3 255 25.4
Current smoker 32 10.7 234 23.3
Missing 28 9.3 7 0.7
Underlying conditions
At least one 78 26.0 278 27.7
No underlying condition 212 70.7 698 69.4
Missing 10 3.3 29 2.9
Recent previous COVID-19 episode
Yes 72 24.0 324 32.2
No 184 61.3 653 65.0
Missing 44 14.7 28 2.8
Time since last previous COVID-19 episode
Median time in days (range) 521 (60–1371) 493 (60–1,481)
Brand autumn vaccination dose
Not XBB1.5-adapted 55 18.3 Not applicable
XBB1.5-adapted 245 81.6
Time since last vaccination dose
Median time since previous dose in days (range) 895 (224–1,122) 741 (132–1,107)
Number of vaccine doses ever received before the autumn 2023 vaccination campaign
Unvaccinated 0 0.0 58 5.8
1 dose 2 0.7 44 4.4
2 doses 7 2.3 216 21.5
3 doses 38 12.7 502 49.9
4 doses 134 44.7 183 18.2
5 doses 119 39.7 2 0.2

We detected 244 SARS-CoV-2 infections (Figure 1): 37 among vaccinated (1.03 per 1,000 person-days of observation) and 207 among unvaccinated HCW (1.7 per 1,000 person-days). Of these infections, 128 (52%) were symptomatic. The cumulative incidence was lower among the vaccinated throughout the entire follow-up regardless of the outcome used (Figure 2).

Figure 2.

Figure 2

Kaplan-Meier plots of time (days) from enrolment to SARS-CoV-2 infection in VEBIS healthcare worker multicentre cohort study on COVID-19 vaccine effectiveness, by vaccination status, seven European countries, season 2023/24 (n = 1,305)

The adjusted CVE against SARS-CoV-2 infection was 22% (95% confidence interval (CI): −17 to 58) overall, with a CVE point estimate of 26% against asymptomatic and 17% against symptomatic infection, with overlapping confidence intervals. The CVE point estimates were 33% in HCWs with no recent prior infection and 23% in HCWs with a previous vaccination > 365 days. The CVE was 49% (95% CI: −8 to 76) before the start of BA2.86/JN1 circulation and below 0 during the BA2.86/JN1 circulation, with higher CVE point estimates 7–59 days after vaccination. The CVE point estimates were below 0 in HCWs with recent prior infection and vaccinated 90–365 days before the autumn dose, as well as ≥ 120 days after vaccination (Table 2).

Table 2. Adjusted vaccine effectiveness in the primary and secondary analyses, VEBIS healthcare worker multicentre cohort study on COVID-19 vaccine effectiveness, seven European countries, season 2023/24 (n = 1,305).

Analysis Vaccinated Unvaccinated Adjusteda CVE
Number HCWs Events Person-days Number HCWs Events Person-days
Overall effect
SARS-CoV-2 infection 300 37 35,657 1,130 207 121,394 22 (−17 to 48)
Asymptomatic infection 300 15 35,657 1,130 101 121,394 26 (−43 to 61)
Symptomatic COVID-19 300 22 35,657 1,130 106 121,394 17 (−40 to 51)
By recent prior infection
No recent prior infection 184 25 21,135 738 150 70,024 33 (−9 to 58)
Recent prior infection 92 8 9,848 486 53 48,601 −9 (−139 to 50)
Time since previous vaccination
Vaccinated 90–365 days before the current season vaccination 300 37 35,657 165 10 5,186 −31 (−245 to 50)
Vaccinated > 365 days before the current season vaccination 300 37 35,657 1,082 197 116,208 23 (−16 to 49)
Before/after BA.2.86 predominant circulation and time since vaccination in season
Before 190 9 4,999 871 108 36,503 49 (−8 to 76)
7–59 days vs > 365 days before 190 9 4,854 801 100 32,278 47 (−11 to 75)
≥ 60 days vs > 365 days before 21 0 145 801 100 32,278 Not calculated
After 296 28 30,658 963 99 84,891 −11 (−84 to 34)
7–59 days vs > 365 days before 231 9 5,849 958 97 83,930 16 (−88 to 63)
≥ 60 days vs > 365 days before 283 19 24,809 958 97 83,930 −25 (−128 to 31)
Time since vaccination in season vs > 365 days before
7–59 days 267 18 10,703 1,082 197 116,208 24 (−29 to 55)
60–119 days 251 9 6,658 1,082 197 116,208 39 (−43 to 74)
120–149 days 243 9 16,080 1,082 197 116,208 −2 (−114 to 52)

CVE: COVID-19 vaccine effectiveness; HCW: healthcare worker; SARS-CoV-2: severe acute respiratory syndrome coronavirus 2.

a Adjusted by age sex, site, at least one underlying condition, recent previous SARS-CoV-2 infection (Participants with at least one covariate missing were not included in the adjusted model).

Discussion

We estimated the effectiveness of an autumn 2023 COVID-19 vaccine dose in HCWs from 13 European hospitals of the VEBIS HCW prospective cohort study. The results suggest a moderate-to-low CVE among HCWs against SARS-CoV-2 infection overall. However, the CVE point estimates suggest a higher protection of COVID-19 vaccines against XBB.1.5 sub-lineages, in circulation before the start of predominant circulation of Omicron BA.2.86/JN.1. The CVE point estimates were higher in HCWs with non-recent previous SARS-CoV-2 infection, suggesting higher benefit of vaccination in these HCWs. The CVE point estimates were also higher for recent vaccination (< 60 days), even during predominant circulation of BA2.86/JN1 when CVE became lower than 0 after 60 days. The null CVE and wide confidence intervals in those with a recent prior vaccination suggest that, in the described scenario, vaccination more frequently than annually may not provide additional protection against SARS-CoV-2 infection overall.

Our results were similar to those of a study conducted in the United States in HCWs with similar vaccination coverage before (CVE = 42%) and during JN1 circulation (CVE = 19%) [6]. They were also similar to the overall estimates by time since vaccination during a 6-month season 2023/24 and to the estimates in HCWs with no recent previous infection in a study from the United Kingdom with higher vaccination coverage [7].

Disentangling the effect of time since last vaccination from the effect of virus evolution was of particular importance for CVE studies during the 2023/24 season [8,9]. As the protection remains at moderate level for about 4 months after vaccination and SARS-CoV-2 variants and sub-lineages continuously emerge, efforts need to be made to better predict the immune evasion [10] and take into account the antigenic distance in CVE estimation [11]. Meanwhile it remains necessary, in addition to vaccination, to recommend frequent testing for HCWs in contact with suspected cases in hospital and in the community, and to regularly reinforce the use of protective equipment when in contact with vulnerable patients, especially when new virus strains emerge.

One of the main strengths of our study was the frequent testing regardless of symptoms, which captured asymptomatic and milder infections; this is important in studies on emerging variants/sub-lineages and in the HCW population. Another strength was the thorough collection of vaccination and previous SARS-CoV-2 infection status.

The main limitation of the study was its low precision of CVE estimates, due to low uptake of the vaccine at the participating hospitals and to the limited number of events, resulting in small sample size particularly when further adjusting by other confounders such as the number of previous vaccine doses or professional role. Adding these covariates in the regression model increased the overall CVE point estimate by 8%, but with a poorer fit of the data than the reported model and with concerns around corelation with existing covariates in the model. Secondly, vaccinated participants seemed to be more likely to accept further vaccination: 45% had four doses compared with 18% in those unvaccinated during the 2023 vaccination campaign, potentially overestimating the CVE results (which was not the case when adjusting by number of previous vaccination doses, as described above). Finally, the studied season was characterised by an initial circulation of Omicron XBB.1.5, later replaced by sub-lineage BA.2.86 and its offspring JN.1. As eight hospitals lacked sequencing information to more accurately define the periods with predominant circulation of the Omicron sub-lineages, we used ERVISS data reported at country level as a proxy; further investigation is needed to check the consistency of our approach.

Conclusion

Our results indicate that an autumn 2023 COVID-19 vaccine dose presented a moderate-to-low reduction of 22% in the risk of SARS-CoV-2 infection in HCWs overall. Nevertheless, the vaccine protected almost one in two HCWs in the period before the predominant circulation of BA.2.86/JN.1 sub-lineage and during less than 60 days after vaccination. Timely deployment of vaccines is crucial for the COVID-19 vaccination programme. With increased sample size, our VEBIS HCW cohort study can provide more precise information to inform key vaccination policies and public health interventions for HCWs in the following seasons.

Ethical statement

The planning, conduct and reporting of the current study was in line with the Declaration of Helsinki, as revised in 2013 (https://www.wma.net/policies-post/wma-declaration-of-helsinki-ethical-principles-for-medical-research-involving-human-subjects). Informed consent was obtained from each participant at the enrolment in the study. The study was approved by the Ethical review committees from each hospital: Tartu Ülikooli inimuuringute eetika komitee, Estonia: 382/M-7; Clinical research ethics committee, Galway University Hospital, Ireland: C.A. 2693; SJH/TUH Joint Research Ethics Committee, Ireland: 0513; Fondazione Policlinico Universitario A. Gemelli IRCCS, Università Cattolica del Sacro Cuore, Dipartimento di Sicurezza e Bioetica, Rome, Italy : 00372/23; Ethics Committee for Clinical Research at Pauls Stradins Clinical University Hospital, Latvia: 241023 - 3L; Ethics Committee for Clinical Research at Pauls Stradins Clinical University Hospital, extended to Children Clinical University Hospital, Latvia: 241023 - 10L; Comissão de Ética para a Saúde, INSA Doutor Ricardo Jorge, Portugal: INSA-IM60_05; Comisia de Etica a Spitalului Clinic de Boli Infectioase si Tropicale “Dr. Victor Babes”, Romania: 14420; Comisia Locala de Etica a Spitalului Universitar de Urgenta Militar Central “Carol Davila”, Romania: 646; Comité de Ética de la Investigación de la Comunidad Autónoma de Aragón (CEICA), HU Miguel Servet, Zaragoza, Spain: PI22/483; Comité De Ética De La Investigación Con Medicamentos, Sant Joan de Déu, Fundacio de Recerca, Barcelona, Spain: 17/2023.

Funding statement

This study was funded by European Centre for Disease Prevention and Control through “Vaccine Effectiveness, Burden and Impact Studies” (VEBIS) Lot 2 “Assessment of COVID-19 and influenza vaccine effectiveness among healthcare workers” framework contract ECDC/2021/017.

Use of artificial intelligence tools

None declared.

Data availability

Data will be made available on request.

Acknowledgements

We thank all participants, hospital staff and study investigators not listed above for their efforts to conduct this study. We are also grateful to the following study team members:

Estonia: Kadri Kõivumägi, Natalia Nikitina, Anna Aleksandrova, Anastassia Kuželko.

Ireland: Irene Flynn Dowling; David Byrne; Noeleen Maher; Nicola Murphy.

Portugal: Ana Catarina Dias, Filipe Pimenta, Rui Pedro Lopes, Pedro Nunes, Filipa Chaves, Catarina Barradas.

Romania: Camelia Grancea, Oana Popescu, Catalina Pascu, Sorin Dinu, Alina Elena Ivanciuc, Iulia Bistriceanu, Mihaela Oprea, Maria Elena Mihai.

Spain: Lourdes Roc Alfaro, Sonia Usón Lucea, Beatriz Órpez Villen, Víctor Cantín-Lahoz, Emilia Ferrer López, María Pilar Martínez López, Miriam Infante Garza, Pilar Díaz Díaz, (HUMS, Zaragoza); Jesus Marquez, Ana Codina, Cristina Jou (Biobank- Hospital Sant Joan de Deu), Marta Cubells and Felipe Pérez-Soler (Clinical Research Unit-Institut de Recerca Sant Joan de Deu).

We also thank Esther Kissling and Baltazar Nunes for valuable comments on early draft of the manuscript, as well as to Valerie Nancey and Djenaba Bamba for their support in the study.

Conflict of interest: APU reported payment under EMA DARWIN EU project outside of the submitted work. MLM, AM, LC reported additional support received from ISIDORe (EATRIS) Network for carrying out the local SARS-CoV-2 sequencing. CPP, SAF reported speaker fees from and participation in Advisory board of Pfizer and MSD. SAF reports also participation in Advisory board of Gilead. CMA reported speaker fees from MSD, Pfizer and Sanofi. JS reported support for attending ESID conference 2022 from Takeda Pharmaceutical. RH and SP reported grant attributed to their institution on “PSCD Longitudinal evaluation of SARS CoV-2 immune status post-natural infection and post-vaccination”. All other authors declare no conflicts of interest related to this work.

Authors’ contributions: CS coordinated the VEBIS HCW VE network, wrote the study protocol, contributed to the data analysis and interpretation of the results and wrote the first draft of the manuscript. APU undertook the statistical analysis on which the research article is based, helped interpret results, and contributed to first draft of the manuscript. KB and SB were involved in the study design, interpretation of results, and the review of all versions of the manuscript. AN was involved in the original methodological design of the study (generic protocol), coordinated the VEBIS HCW VE network, helped interpret results, and contributed to all versions of the manuscript. AU, CB, CF, RM, VZ, DZ, VG, CPP, RH, MC, MLM, LL, JM, LF, KGD, IA, DG, AM, SAF, ML, PS, LCC, JS, CK, RS, DK, EAB, CVH, AGK, SMP, CMA, AM and the VEBIS HCW VE study group, were responsible for the coordination of the study at the national/regional/hospital level, contributed to developing the study site-specific protocols, were in charge of the collection, management and validation of the clinical and laboratory data. They interpreted the results, reviewed and contributed to all versions of the manuscript. All authors approved the final version of the manuscript.

References


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