- Open Access
Reactogenicity after heterologous and homologous COVID-19 prime-boost vaccination regimens: descriptive interim results of a comparative observational cohort study
BMC Infectious Diseases volume 22, Article number: 504 (2022)
Due to safety signals after vaccination with COVID-19 vector vaccines, several states recommended to complete the primary immunization series in individuals having received one dose of ChAdOx1 (AstraZeneca) with an mRNA vaccine. However, data on safety and reactogenicity of this heterologous regimen are still scarce. The aim of this study was therefore to compare the reactogenicity and the frequency of medical consultations after boost vaccination in a heterologous regimen with ChAdOx1 and mRNA-vaccines (BNT162b2, BioNTech/Pfizer or mRNA-1273, Moderna) to homologous regimens with ChAdOx1 or mRNA-vaccines, respectively.
In an observational cohort study reactogenicity and safety were assessed 14–19 days (short-term) and 40 to 56 days (long-term) after the boost vaccination using web-based surveys. In the short-term survey solicited and unsolicited reactions were assessed, while the long-term survey focussed on health problems leading to medical consultation after the vaccination, including those that were not suspected to be vaccine-related.
In total, 9146 participants completed at least one of the surveys (ChAdOx1/ChAdOx1: n = 552, ChAdOx1/mRNA: n = 2382, mRNA/mRNA: n = 6212). In the short-term survey, 86% with ChAdOx1/mRNA regimen reported at least one reaction, in the ChAdOx1/ChAdOx1 and mRNA/mRNA cohorts 58% and 76%, respectively (age and sex adjusted p < 0.0001). In the long-term survey, comparable proportions of individuals reported medical consultation (ChAdOx1/ChAdOx1 vs. ChAdOx1/mRNA vs. mRNA/mRNA: 15% vs. 18% vs. 16%, age and sex adjusted p = 0.398). Female gender was associated with a higher reactogenicity and more medical consultations. Younger age was associated with a higher reactogenicity, whereas elderly people reported more medical consultations.
Although the short-term reactogenicity was higher with the heterologous regimen than with the homologous regimens, other factors such as higher efficacy and limited resources during the pandemic may prevail in recommending specific regimens.
The efficacy and safety of the vaccines BNT162b2 (BioNTech/Pfizer), mRNA-1273 (Moderna), and ChAdOx1 (AstraZeneca) have been demonstrated in large randomized controlled trials [1,2,3]. Administration of ChAdOx1 started in February 2021 in EU/EEA countries . As of March 2021, an association between ChAdOx1 administration and the occurrence of thromboembolic events, later referred to as vaccine-induced immune thrombotic thrombocytopenia (VITT), has been detected [4,5,6]. This safety signal led to different recommendations in EU/EEA countries: while some restricted the administration of ChAdOx1 to the elderly as done in Germany, others suspended its use completely . As many people were already primed with ChAdOx1, some countries recommended a boost with BNT162b2 or mRNA-1273 [7,8,9,10]. In Germany, this recommendation was first restricted to persons younger than 60 years. By July 2021 this heterologous regimen was extended to all individuals due to safety concerns and because initial data indicated an even better immunogenicity [8, 11]. Additionally, preclinical trials investigating the immune responses after different heterologous vaccination regimens show promising results [12,13,14,15]. However, evidence on the safety and reactogenicity of the heterologous vaccination regimen was still scarce. Several studies have been published, though mostly with small sample sizes, a maximal follow-up time of two weeks, and, in some studies, a control group with a homologous regimen was missing [16,17,18,19,20,21,22]. The reactogenicity of the heterologous vaccination regimen reported in these studies was comparable to or higher than that of the homologous vaccination regimens.
The safety study reported here is embedded in the CoVaKo project (Corona Vakzin Konsortium) that analyses the efficacy and safety of COVID-19 vaccines [23, 24]. In the CoVaKo safety study we aim to monitor reactogenicity and health problems after COVID-19 vaccination compared to other vaccinations like influenza or pneumococcal vaccination. A longitudinal online survey was used with the focus on health problems occurring within 18 weeks after vaccination and leading to medical consultation, medication intake, or sick-leave. Due to potential shortages of particular vaccines, practical considerations in the absence of single dose vaccine vials, and the potential need for a booster after initial immunization, in particular after vaccination with COVID-19 vector vaccines, evaluating the safety of heterologous vaccination regimens became very important as well. Therefore, this interim analysis of the safety study focusses on the comparison of reactogenicity and health problems after the second dose in a heterologous regimen with ChAdOx1 as prime and an mRNA-vaccine as boost in comparison to homologous regimens with ChAdOx1 or mRNA-vaccines, respectively.
Study design and setting
In an observational cohort study, reactogenicity and safety of vaccinations were assessed including 14 to 19 days (short-term survey) and 40 to 59 days (long-term survey) after the second COVID-19 vaccination using web-based surveys . In an interim analysis reactions and health problems after the second dose were compared in individuals with (1) homologous immunization with ChAdOx1 (ChAdOx1/ChAdOx1), (2) heterologous immunization with ChAdOx1 as first dose and BNT162b2 or mRNA-1273 as second dose (ChAdOx1/mRNA), or (3) homologous immunization with mRNA vaccination BNT162b2 or mRNA-1273 (mRNA/mRNA).
Recruitment of vaccinated participants commenced on April 17, 2021 in vaccination centres and primary care practices in Bavaria, Germany. The data collection period for the interim analysis ended on August 16, 2021. After a vaccination, individuals received a leaflet with information on the study and had the possibility to voluntarily register on a web-based platform. Afterwards they received the links to the short- and long-term surveys. The recruitment strategy and the surveys were evaluated in a feasibility study (registered at DRKS: ID DRKS00025881). Recruitment for the main study started on May 20, 2021 and is planned to be continued until January 2022 (registered at DRKS: ID DRKS00025373) . Due to the dynamic changes in vaccination regimens, and the importance of generating real-world evidence on the safety of the different prime-boost regimens, we included both, the data of the feasibility study and the main study in this interim analysis. With only minor changes to the survey between the feasibility study  and main study this approach was considered methodologically valid. All methods were carried out in accordance with relevant guidelines and regulations. The reporting of the study is based on the STROBE (Strengthening the Reporting of Observational studies in Epidemiology) recommendations .
Participants and variables
Individuals born before the year of 2004 who received a vaccination (against COVID-19, influenza, pneumococcus, tickborne encephalitis, tetanus/diphtheria vaccination with or without pertussis/poliomyelitis, and/or herpes zoster) in the last 124 days were able to register for the safety study. After giving their informed consent on the web-based registration form, participants were asked about sociodemographic characteristics, comorbidities, and information on the vaccination including the brand name and batch number. Questions on morbidity were based on a modified German version of the Self-Administered Comorbidity Questionnaire (mSCQ-D) [27, 28]. In the short-term survey solicited and unsolicited local and systemic reactions were assessed. Solicited reactions were known reactions after vaccinations like local pain, headache, and fever. Participants were able to report unsolicited reactions in a free text field. The reactions were determined along with possible consequences like medical consultation, medication intake, or sick-leave. The long-term survey focussed only on health problems leading to in- or outpatient medical consultation. In order to classify health problems in relation to the vaccination, participants were asked to indicate all events that occurred in the respective time interval and then to rate if they suspected an association to the vaccination (Additional file, survey). Data is collected using the web-based software platform REDCap (Research Electronic Data Capture), hosted at Universitätsklinikum Erlangen [29, 30].
Participants who received an email with a personalized link to the short- and/or long-term survey during the data collection period were selected for the interim analysis. Participants with incomplete registrations were excluded. Further exclusion criteria were birth years after 2003, having received none of the targeted vaccinations, registration before vaccination date or later than 124 days after vaccination of first or single dose, and an interval between prime and boost of less than 14 days or more than 92 days. Email addresses were checked for duplicates. In case one person registered twice, the datasets were synthesized. If one email address was used by two persons, both datasets were considered separately. For plausibility we checked, whether the invitation links were sent at the correct time in regard to the vaccination date. If sent at an incorrect time, answers were set to missing. In case of implausible age (year of birth before 1900), weight (lower than 20 kg or higher than 300 kg), height (lower than 50 cm or higher than 250 cm), and/or pregnancy (in male participants or participants with birth year before 1975), the respective variables were set to missing. For the interim analysis, only participants having received prime and boost COVID-19 vaccination with known vaccination regimen were selected. Data of participants who completed at least one of the surveys is analysed. After the selection process, 9146 participants remained (Fig. 1).
The response-rate is reported as proportion of fully completed and valid surveys to all surveys sent out to the participants that remained after data selection process. As age was reported as year of birth, it was calculated as the difference between the year 2021 and the year of birth provided. Sociodemographic characteristics, comorbidities, and interval between prime and boost vaccination are reported as proportion or as a mean/median. Comorbidity in form of mSCQ-D was calculated. Consequences of reactions were queried in a multiple-choice question. In the descriptive analysis they were ordered hierarchical. The consequence perceived as most serious is reported (from no consequence to medication intake, sick leave, outpatient (practice) consultation, clinic (ambulant) consultation, and hospitalisation). Health problems are reported as absolute and relative frequencies. Due to the COVID-19 vaccine prioritization the participants were not distributed equally throughout the cohorts especially regarding age and gender. Therefore, results are also reported separately for gender and age with a threshold of 55 years chosen according to other studies on COVID-19 vaccines [1, 2, 16]. Furthermore, group comparisons with respect to the rate of overall reactions/health problems in the short-term and long-term survey were analysed by logistic regression adjusted by age (continuous, non-dichotomized) and gender with overall p-values from ANOVA.
Data preparation, analyses and figures were performed using R Statistical Software (version 4.0.2, R Foundation for Statistical Computing, Vienna, Austria).
In total, at least one survey was sent to 9983 participants, out of whom 92% responded to at least one survey and completed it validly (n = 9146). The short-term survey was completed validly by 8145 (89%) and the long-term survey by 7104 (87%). The cohorts for the short- and long-term survey are described separately. The ChAdOx1/ChAdOx1 cohorts were the smallest, followed by ChAdOx1/mRNA and mRNA/mRNA (Fig. 1). The ChAdOx1/ChAdOx1 cohorts had a higher mean age, a higher proportion of male participants and a higher proportion of people with at least one comorbidity as compared to the other cohorts (Table 1). In contrast, no major difference was detected in the mean age and proportion of participants with at least one comorbidity between the mRNA/mRNA and the ChAdOx1/mRNA cohorts. In the ChAdOx1/mRNA cohorts, the proportion of female participants was higher among respondents to the long-term survey than in respondents to the short-term survey (Table 1).
At least one solicited or unsolicited reaction was reported by 86% of participants in the ChAdOx1/mRNA cohort and by 58% and 76% of participants in the ChAdOx1/ChAdOx1 and mRNA/mRNA cohort, respectively (adjusted p < 0.0001). Logistic regression showed lower reactogenicity in ChAdOx1/ChAdOx1 (OR = 0.303, 95% CI [0.240, 0.383]) and mRNA/mRNA (OR = 0.467, 95% CI [0.403, 0.541]) as compared to ChAdOx1/mRNA cohort.
Participants with ChAdOx1/mRNA reported more local and systemic reactions than those with homologous regimens (local: ChAdOx1/ChAdOx1 34% vs. ChAdOx1/mRNA 68% vs. mRNA/mRNA 59%, systemic: ChAdOx1/ChAdOx1 51% vs. ChAdOx1/mRNA 80% vs. mRNA/mRNA 66%). Unsolicited reactions were reported almost equally after homologous and heterologous mRNA boost (ChAdOx1/ChAdOx1 7% vs. ChAdOx1/mRNA 13% vs. mRNA/mRNA 12%). Any consequence of reactions was most often reported in the ChAdOx1/mRNA group (ChAdOx1/ChAdOx1 41% vs. ChAdOx1/mRNA 58% vs. mRNA/mRNA 42%). Those consequences were mostly medication intake and sick leave (ChAdOx1/ChAdOx1 90% vs. ChAdOx1/mRNA 88% vs. mRNA/mRNA 87%). Out of all participants who experienced consequences, 42 participants reported a consultation in a clinic (ChAdOx1/ChAdOx1 0.9%, ChAdOx1/mRNA 1.8%, mRNA/mRNA 1.3%) and 18 participants reported an inpatient treatment (ChAdOx1/ChAdOx1 0.0%, ChAdOx1/mRNA 0.8%, mRNA/mRNA 0.6%). Results are depicted in Fig. 2.
No major difference was detected in the proportion of participants reporting at least one reaction when separating by interval between second dose of COVID-19 vaccination and registration to the study (Table 2). More participants in the ChAdOx1/mRNA group suspected an association between the vaccination and their reactions and felt affected by the reactions. In the mRNA/mRNA group 2.8% reported they suspect their reactions have long-term consequences, 2.4% in the ChAdOx1/mRNA group and 2.2% in the ChAdOx1/ChAdOx1 group, respectively. Participants with a homologous regimen perceived the vaccination more often as comparable to previous vaccinations (Table 2).
In the period since the short-term survey, 18% of the heterologous group reported any medical consultation as compared to 15% in the ChAdOx1/ChAdOx1 and 16% in the mRNA/mRNA group (adjusted p = 0.398). Of those, 97% to 99% reported (planned) outpatient consultation. Hospital admission was most frequently reported by the ChAdOx1/ChAdOx1 cohort and fewest by the heterologous group (ChAdOx1/ChAdOx1 19% vs. ChAdOx1/mRNA 7% vs. mRNA/mRNA 11%, Table 3). The health problems leading to medical consultations were in 13% to 16% pre-existing conditions and in 32% to 37% at least partially pre-existing conditions. In the ChAdOx1/ChAdOx1 cohort, 81% of individuals with medical consultation did not assume an association between the vaccination and their conditions, as compared to 74% in the other two cohorts.
More participants in the mRNA/mRNA group reported long-term consequences (ChAdOx1/ChAdOx1 30% vs. ChAdOx1/mRNA 30% vs. mRNA/mRNA 38%). In the ChAdOx1/ChAdOx1 cohort participants reported most frequently that the vaccination was not comparable to previous vaccinations. Most health problems were unsolicited conditions, followed by musculoskeletal disorders in ChAdOx1/ChAdOx1 and ChAdOx1/mRNA cohort and by general conditions in mRNA/mRNA cohort, respectively. Results of the long-term survey are depicted in Table 3.
Analysis by age and gender
Participants younger than 55 years did show an overall higher reactogenicity in the comparison of age groups (Fig. 3). The logistic regression confirmed an association of younger age with higher reactogenicity (OR = 0.964, 95% CI [0.960, 0.968]). Female participants showed an overall higher reactogenicity than male participants in the descriptive results and the logistic regression (OR = 2.23, 95% CI [1.997, 2.491], see Fig. 4).
Older age was associated with reporting more medical consultations in the ChAdOx1/ChAdOx1 and ChAdOx1/mRNA cohort, whereas in the mRNA/mRNA cohort no differences were observed between the two age groups (< 55 years vs. ≥ 55 years: ChAdOx1/ChAdOx1 13 vs. 16%, ChAdOx1/mRNA 17 vs. 20%, mRNA/mRNA 16 vs. 16%, OR = 1.010, 95% CI [1.005, 1.014], see Table 4). Female patients reported a medical consultation more frequently in all cohorts (Female vs. male: ChAdOx1/ChAdOx1 16 vs. 14%, ChAdOx1/mRNA 20 vs. 12%, mRNA/mRNA 19% vs. 12%, OR = 1.859, 95% CI [1.620, 2.137], see Table 5).
A higher reactogenicity was reported with the heterologous vaccination regimen as compared to homologous regimens 14 to 19 days after the second COVID-19 vaccination. A medical consultation was reported by a comparable proportion with all three regimens 40 to 56 days after the second COVID-19 vaccination. Female gender was associated with a higher rate of reported reactions and medical consultations, respectively. In the short-term follow-up, younger age was associated with a higher rate of reported reactions, whereas in the long-term follow-up elderly people in ChAdOx1/ChAdOx1 and ChAdOx1/mRNA reported more medical consultations.
Previous studies showed that the heterologous regimen is tolerable and no serious adverse event occurred that were suspected to be due to the vaccination [21, 31]. However, the heterologous boost with mRNA leading to a higher reactogenicity is consistent with results of two studies from the UK [16, 18]. In these studies, the interval between prime and boost did not differ (widely) between the regimens. In contrast, two studies from Germany reported a largely comparable reactogenicity after boost with mRNA vaccine in heterologous and homologous regimens [19, 20]. Hillus et al. reported even a slight increase in systemic reactions after homologous mRNA (BNT162b2) boost compared to heterologous ChAdOx1/mRNA or homologous ChAdOx1/ChAdOx1 boost. In both studies, the mean interval between prime and boost vaccination differed largely with a longer interval in heterologous regimen . The authors hypothesized that the extended interval in the heterologous cohort as compared to the homologous regimens with shorter intervals could have led to a decrease in reactogenicity in the heterologous group . In our study, the difference between the intervals in the different cohorts was smaller, because since April 2021, a six-week interval was recommended in Germany for the homologous mRNA regimen instead of the initial three weeks interval. This was due to limited vaccine resources and a higher immunogenicity with a longer interval [8, 32]. It might be assumed, that the reactogenicity is higher with a heterologous mRNA boost but higher reactogenicity might also be associated with a smaller interval between the first and second dose of COVID-19 vaccination.
Female gender was associated with higher reactogenicity not only in our study but also in Powell et al. and Borobia et al. [16, 17]. This association was previously shown for a lot of virus vaccines other than COVID-19 along with a higher immunogenicity in female individuals . Female participants also reported medical consultations in the long-term follow-up more frequently. This association as well does not seem to be specific for COVID-19 vaccinations. A scoping review revealed that female gender was frequently associated with an increased medical health care utilization in general . Not only female gender but also younger age seems to be associated with a higher reactogenicity. Age as an influencing factor on the reporting of adverse events was also mentioned in other studies on COVID-19 vaccination. Similar to our results, studies showed that younger age was associated with the reporting of a higher reactogenicity [1, 2, 16, 17].
However, medical consultations in the long-term survey were reported more frequently in participants aged 55 years or older. As comorbidities were more common in this age group, the higher rate of medical consultations can possibly rather be attributed to participants’ comorbidities than to the vaccination. This hypothesis might be strengthened by the finding that the proportion of medical consultation reported in the long-term survey was comparable between the regimens. Additionally, participants assumed an association between the second vaccination and health problems in the long-term survey less frequently as compared to an association between the second vaccination and reactions in the short-term survey.
Participants were recruited on the day of vaccination to reduce selection bias. However, some participants registered with delay to their vaccination, possibly due to their reactions or health problems. As there was no higher rate of reported reactions in participants registered with delay, this potential bias is probably small. Since all information is given by the vaccinated persons themselves, certain groups of individuals (e.g. seriously ill, cognitively impaired) were not able to participate. This narrows generalizability of the results to some extent. Due to recommendations in vaccination strategy in Germany at the time of recruitment, characteristics of the groups differ in regard to age, gender, and vaccination interval, as well as in total size of study population. Therefore, subgroup analyses were performed separately for age and gender.
The reactogenicity of the heterologous regimen seems to be higher compared to homologous regimens. Until now, however, there is no signal that severe adverse events are more common with this regimen, although further research is necessary. Other factors like a higher efficacy and limited resources during the pandemic might overweight a tolerable higher reactogenicity in the recommendations of specific regimens.
Availability of data and materials
Aggregated data that support the findings of this study are available from the corresponding author for researchers who provide a methodologically sound proposal after consent of the data protection supervisor.
Baden LR, El Sahly HM, Essink B, Kotloff K, Frey S, Novak R, et al. Efficacy and safety of the mRNA-1273 SARS-CoV-2 vaccine. N Engl J Med. 2021. https://doi.org/10.1056/NEJMoa2035389.
Polack FP, Thomas SJ, Kitchin N, Absalon J, Gurtman A, Lockhart S, et al. Safety and efficacy of the BNT162b2 mRNA Covid-19 vaccine. N Engl J Med. 2020. https://doi.org/10.1056/NEJMoa2034577.
Voysey M, Clemens SAC, Madhi SA, Weckx LY, Folegatti PM, Aley PK, et al. Safety and efficacy of the ChAdOx1 nCoV-19 vaccine (AZD1222) against SARS-CoV-2: an interim analysis of four randomised controlled trials in Brazil, South Africa, and the UK. The Lancet. 2021. https://doi.org/10.1016/S0140-6736(20)32661-1.
European Centre for Disease Prevention and Control. Overview of EU/EEA country recommendations on COVID-19 vaccination with Vaxzevria, and a scoping review of evidence to guide decision-making: 2021. Available from: https://www.ecdc.europa.eu/en/publications-data/overview-eueea-country-recommendations-covid-19-vaccination-vaxzevria-and-scoping.
Greinacher A, Thiele T, Warkentin TE, Weisser K, Kyrle PA, Eichinger S. Thrombotic Thrombocytopenia after ChAdOx1 nCov-19 Vaccination. N Engl J Med. 2021. https://doi.org/10.1056/NEJMoa2104840.
European Medicines Agency (EMA). COVID-19 Vaccine AstraZeneca: PRAC preliminary view suggests no specific issue with batch used in Austria: 2021. https://www.ema.europa.eu/en/news/covid-19-vaccine-astrazeneca-prac-preliminary-view-suggests-no-specific-issue-batch-used-austria. Accessed 10 Oct 2021.
Haute Autorité de Santé. Covid-19: what vaccine strategy for people under 55 who have already received a dose of AstraZeneca? [French]: 2021. https://www.has-sante.fr/jcms/p_3260335/. Accessed 10 Oct 2021.
Vygen-Bonnet S, Koch J, Bogdan C, Harder T, Heininger U, Littmann M, et al. Beschluss der STIKO zur 8. Aktualisierung der COVID-19-Impfempfehlung und die dazugehörige wissenschaftliche Begründung. Epid Bull. 2021. https://doi.org/10.25646/8776.
Vygen-Bonnet S, Koch J, Bogdan C, Harder T, Heininger U, Kling K, et al. Beschluss der STIKO zur 4. Aktualisierung der COVID-19-Impfempfehlung. Epid Bull. 2021. https://doi.org/10.25646/8277.2.
Danish Health Authority. Denmark continues its vaccine rollout without the COVID-19 vaccine from AstraZeneca: 2021. https://www.sst.dk/en/english/news/2021/denmark-continues-its-vaccine-rollout-without-the-covid-19-vaccine-from-astrazeneca. Accessed 10 Oct 2021.
Tenbusch M, Schumacher S, Vogel E, Priller A, Held J, Steininger P, et al. Heterologous prime–boost vaccination with ChAdOx1 nCoV-19 and BNT162b2. Lancet Infect Dis. 2021. https://doi.org/10.1016/S1473-3099(21)00420-5.
Li W, Li X, Zhao D, Liu J, Wang L, Li M, et al. Heterologous prime-boost with AdC68- and mRNA-based COVID-19 vaccines elicit potent immune responses in mice. Signal Transduct Target Ther. 2021. https://doi.org/10.1038/s41392-021-00843-6.
Zhang J, He Q, An C, Mao Q, Gao F, Bian L, et al. Boosting with heterologous vaccines effectively improves protective immune responses of the inactivated SARS-CoV-2 vaccine. Emerg Microb Infect. 2021. https://doi.org/10.1080/22221751.2021.1957401.
Spencer AJ, McKay PF, Belij-Rammerstorfer S, Ulaszewska M, Bissett CD, Hu K, et al. Heterologous vaccination regimens with self-amplifying RNA and adenoviral COVID vaccines induce robust immune responses in mice. Nat Commun. 2021. https://doi.org/10.1038/s41467-021-23173-1.
Lapuente D, Fuchs J, Willar J, Vieira Antão A, Eberlein V, Uhlig N, et al. Protective mucosal immunity against SARS-CoV-2 after heterologous systemic prime-mucosal boost immunization. Nat Commun. 2021. https://doi.org/10.1038/s41467-021-27063-4.
Powell AA, Power L, Westrop S, McOwat K, Campbell H, Simmons R, et al. Real-world data shows increased reactogenicity in adults after heterologous compared to homologous prime-boost COVID-19 vaccination, March-June 2021, England. Euro Surveill. 2021. https://doi.org/10.2807/1560-7917.ES.2021.26.28.2100634.
Borobia AM, Carcas AJ, Pérez-Olmeda M, Castaño L, Bertran MJ, García-Pérez J, et al. Immunogenicity and reactogenicity of BNT162b2 booster in ChAdOx1-S-primed participants (CombiVacS): a multicentre, open-label, randomised, controlled, phase 2 trial. Lancet. 2021. https://doi.org/10.1016/s0140-6736(21)01420-3.
Shaw RH, Stuart A, Greenland M, Liu X, Nguyen Van-Tam JS, Snape MD, et al. Heterologous prime-boost COVID-19 vaccination: initial reactogenicity data. Lancet. 2021. https://doi.org/10.1016/S0140-6736(21)01115-6.
Hillus D, Schwarz T, Tober-Lau P, Vanshylla K, Hastor H, Thibeault C, et al. Safety, reactogenicity, and immunogenicity of homologous and heterologous prime-boost immunisation with ChAdOx1 nCoV-19 and BNT162b2: a prospective cohort study. Lancet Respir Med. 2021. https://doi.org/10.1016/s2213-2600(21)00357-X.
Schmidt T, Klemis V, Schub D, Mihm J, Hielscher F, Marx S, et al. Immunogenicity and reactogenicity of heterologous ChAdOx1 nCoV-19/mRNA vaccination. Nat Med. 2021. https://doi.org/10.1038/s41591-021-01464-w.
Liu X, Shaw RH, Stuart ASV, Greenland M, Aley PK, Andrews NJ, et al. Safety and immunogenicity of heterologous versus homologous prime-boost schedules with an adenoviral vectored and mRNA COVID-19 vaccine (Com-COV): a single-blind, randomised, non-inferiority trial. Lancet. 2021. https://doi.org/10.1016/S0140-6736(21)01694-9.
Groß R, Zanoni M, Seidel A, Conzelmann C, Gilg A, Krnavek D, et al. Heterologous ChAdOx1 nCoV-19 and BNT162b2 prime-boost vaccination elicits potent neutralizing antibody responses and T cell reactivity against prevalent SARS-CoV-2 variants. EBioMedicine. 2022. https://doi.org/10.1016/j.ebiom.2021.103761.
Sebastiao M. CoVaKo: Active recording of adverse events after COVID-19 vaccination. Bundesinstitut für Arzneimittel und Medizinprodukte. 2021. https://www.drks.de/drks_web/navigate.do?navigationId=trial.HTML&TRIAL_ID=DRKS00025373. Accessed 15 Oct 2021.
Überla K. Course of COVID-19 in vaccinated and unvaccinated individuals. Bundesinstitut für Arzneimittel und Medizinprodukte. 2021. https://www.drks.de/drks_web/navigate.do?navigationId=trial.HTML&TRIAL_ID=DRKS00024739. Accessed 15 Oct 2021.
Lippert N, Warkentin L, Kühlein T, Steininger P, Überla K, Hueber S, et al. Active surveillance of adverse events after COVID-19 and other vaccinations: a feasibility study as part of the CoVaKo project. Research Square. 2021. https://doi.org/10.21203/rs.3.rs-1004262/v1 (Preprint).
von Elm E, Altman DG, Egger M, Pocock SJ, Gotzsche PC, Vandenbroucke JP, et al. Strengthening the Reporting of Observational Studies in Epidemiology (STROBE) statement: guidelines for reporting observational studies. BMJ. 2007. https://doi.org/10.1136/bmj.39335.541782.AD.
Streibelt D, Schmidt C, Brünger M, Spyra K. Komorbidität im Patientenurteil—geht das? Orthopade. 2012. https://doi.org/10.1007/s00132-012-1901-3.
Sangha O, Stucki G, Liang MH, Fossel AH, Katz JN. The self-administered comorbidity questionnaire: a new method to assess comorbidity for clinical and health services research. Arthritis Care Res. 2003. https://doi.org/10.1002/art.10993.
Harris PA, Taylor R, Minor BL, Elliott V, Fernandez M, O’Neal L, et al. The REDCap consortium: building an international community of software platform partners. J Biomed Inform. 2019. https://doi.org/10.1016/j.jbi.2019.103208.
Harris PA, Taylor R, Thielke R, Payne J, Gonzalez N, Conde JG. Research electronic data capture (REDCap)—a metadata-driven methodology and workflow process for providing translational research informatics support. J Biomed Inform. 2009. https://doi.org/10.1016/j.jbi.2008.08.010.
Chiu NC, Chi H, Tu YK, Huang YN, Tai YL, Weng SL, et al. To mix or not to mix? A rapid systematic review of heterologous prime-boost covid-19 vaccination. Expert Rev Vaccines. 2021. https://doi.org/10.1080/14760584.2021.1971522.
Voysey M, Costa Clemens SA, Madhi SA, Weckx LY, Folegatti PM, Aley PK, et al. Single-dose administration and the influence of the timing of the booster dose on immunogenicity and efficacy of ChAdOx1 nCoV-19 (AZD1222) vaccine: a pooled analysis of four randomised trials. Lancet. 2021. https://doi.org/10.1016/s0140-6736(21)00432-3.
Klein SL, Jedlicka A, Pekosz A. The Xs and Y of immune responses to viral vaccines. Lancet Infect Dis. 2010. https://doi.org/10.1016/S1473-3099(10)70049-9.
Soleimanvandiazar N, Mohaqeqi Kamal SH, Sajjadi H, GhaedaminiHarouni G, Karimi SE, Djalalinia S, et al. Determinants of outpatient health service utilization according to Andersen’s behavioral model: a systematic scoping review. Iran J Med Sci. 2020. https://doi.org/10.30476/ijms.2020.85028.1481.
We would like to thank all participants filling out the surveys as well as the staff at the vaccination centres and primary care practices. We thank Carolin Nürnberger for assisting during the data collection period and Thomas Ruppert for supporting study planning. We would like to thank the Bavarian Ministry of Science and Art (“Bayerisches Staatsministerium für Wissenschaft und Kunst”). The present work was performed in (partial) fulfillment of the requirements for obtaining the degree „Dr. rer. biol. hum.” for LW.
Open Access funding enabled and organized by Projekt DEAL. The study is funded by the Bavarian Ministry of Science and Art (https://www.stmwk.bayern.de/). The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript.
Ethics approval and consent to participate
The Ethics Committee of the Friedrich-Alexander University approved the study (47_21 B, 01.03.2021 and 161_21 B, 12.05.2021). The reporting of the study is based on the STROBE (Strengthening the Reporting of Observational studies in Epidemiology) recommendations. All participants gave their informed consent.
Consent for publication
LW, NZ own(ed) stocks of BioNTech, the investments were made before being involved in the project. The authors declare that they have no further competing interests.
Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.
About this article
Cite this article
Warkentin, L., Zeschick, N., Kühlein, T. et al. Reactogenicity after heterologous and homologous COVID-19 prime-boost vaccination regimens: descriptive interim results of a comparative observational cohort study. BMC Infect Dis 22, 504 (2022). https://doi.org/10.1186/s12879-022-07443-x
- Adverse drug reaction
- Observational study