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Record W4225314998

Emerging evidence on heterologous COVID-19 vaccine schedules-to mix or not to mix?

2022· article· en· W4225314998 on OpenAlexaboutno aff
Edward P K Parker, Shalini Desai, Melanie Marti, Katherine L. O’Brien, David C. Kaslow, Sonali Kochhar, Folake Olayinka, Alejandro Cravioto, Hanna Nohynek, Joachim Hombach, Annelies Wilder‐Smith

Bibliographic record

VenueSTM:n Hallinnonalan avoin julkaisuarkisto (Julkari) · 2022
Typearticle
Languageen
FieldMedicine
TopicSARS-CoV-2 and COVID-19 Research
Canadian institutionsnot available
Fundersnot available
KeywordsCoronavirus disease 2019 (COVID-19)Virology2019-20 coronavirus outbreakSevere acute respiratory syndrome coronavirus 2 (SARS-CoV-2)HeterologousBiologyMedicineGeneticsInfectious disease (medical specialty)
DOInot available

Abstract

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As of February 2022, 27 different COVID-19 vaccines have been authorised by one or more regulatory authorities for specific or widespread use.1Shrotri M Swinnen T Kampmann B Parker EPK An interactive website tracking COVID-19 vaccine development.Lancet Glob Health. 2021; 9: e590-e592Summary Full Text Full Text PDF PubMed Scopus (56) Google Scholar Of these, eight vaccines have received a WHO Emergency Use Listing (EUL).2WHOCOVID-19 vaccines technical documents.https://www.who.int/groups/strategic-advisory-group-of-experts-on-immunization/covid-19-materialsDate accessed: January 10, 2022Google Scholar Although homologous vaccination remains standard practice, heterologous schedules that use more than one product in an individual's dosing series offer several potential benefits, including enhanced programmatic flexibility. We did a comprehensive review of available data on the safety, immunogenicity, and effectiveness of heterologous vaccine schedules (for methods, see appendix pp 1–3). We identified 48 studies that tested a combination of WHO EUL COVID-19 vaccines from different platforms. These included seven controlled trials and 41 observational studies. Schedules involved a combination (in any order) of vectored–mRNA vaccines (36 studies), vectored–inactivated vaccines (eight studies), and inactivated–mRNA vaccines (eight studies). No protein-based vaccines had received a WHO EUL at the time of the review. A total of 37 studies considered heterologous primary schedules (involving more than one product during a two-dose primary series), whereas 13 considered heterologous boosting (among individuals who have previously received a complete homologous primary series). Most studies considered humoral immune response endpoints (38 studies), with a subset reporting on safety (23 studies) and vaccine effectiveness (VE; 11 studies). The majority of VE studies (nine of 11) reported on heterologous primary schedules involving ChAdOx1-S followed by an mRNA vaccine (appendix pp 6–8). VE against infection or symptomatic disease following this heterologous regimen (estimates ranging from 61% to 91%) was similar to or marginally greater than that of homologous ChAdOx1-S (43–89%), and commensurate with that of two mRNA vaccine doses (69–90%). Short-term VE against hospitalisation following heterologous ChAdOx1-S–mRNA was greater than 95% across studies in Canada, Chile, and Spain.3Skowronski DM Setayeshgar S Febriani Y et al.Two-dose SARS-CoV-2 vaccine effectiveness with mixed schedules and extended dosing intervals: test-negative design studies from British Columbia and Quebec, Canada.medRxiv. 2021; (published online Oct 26.) (preprint).https://doi.org/10.1101/2021.10.26.21265397Google Scholar, 4Araos R Jara A COVID-19 vaccine effectiveness assessment in Chile.https://cdn.who.int/media/docs/default-source/blue-print/chile_rafael-araos_who-vr-call_25oct2021.pdf?sfvrsn=7a7ca72a_7Date: Oct 25, 2021Date accessed: November 29, 2021Google Scholar, 5Martínez-Baz I Trobajo-Sanmartín C Miqueleiz A et al.Product-specific COVID-19 vaccine effectiveness against secondary infection in close contacts, Navarre, Spain, April to August 2021.Euro Surveill. 2021; 262100894Google Scholar Two studies reported on VE following heterologous booster (third) doses. In the UK, administration of BNT162b2 at least 6 months after a primary series of ChAdOx1-S had a VE against symptomatic disease of 93% (95% CI 92–94).6Andrews N Stowe J Kirsebom F Gower C Ramsay M Bernal JL Effectiveness of BNT162b2 (Comirnaty, Pfizer-BioNTech) COVID-19 booster vaccine against COVID-19 related symptoms in England: test negative case-control study.medRxiv. 2021; (published online Nov 15, 2021.)https://doi.org/10.1101/2021.11.15.21266341Google Scholar This was very similar to the VE of 94% (93–95) observed after a homologous booster dose of BNT162b2 among individuals primed with two doses of BNT162b2. Among individuals in Chile who received a primary series of the inactivated vaccine CoronaVac, heterologous, as opposed to homologous, boosting with ChAdOx1-S or BNT162b2 was associated with an absolute increase of 11–25% in VE against infection, symptomatic disease, hospitalisation, and intensive care unit admission (appendix pp 6–8).4Araos R Jara A COVID-19 vaccine effectiveness assessment in Chile.https://cdn.who.int/media/docs/default-source/blue-print/chile_rafael-araos_who-vr-call_25oct2021.pdf?sfvrsn=7a7ca72a_7Date: Oct 25, 2021Date accessed: November 29, 2021Google Scholar Data on the immunogenicity of heterologous schedules are available for a wider range of vaccine combinations (appendix pp 4–5, 9–14). These findings must be interpreted with caution given the absence of an established correlate of initial or long-term protection. Differences in dosing interval between homologous and heterologous vaccine recipients were also apparent in several of the studies included. Despite these caveats, several consistent trends are emerging. Compared with homologous inactivated vaccine schedules, heterologous schedules have consistently shown enhanced immunogenicity when inactivated vaccines are administered before or after either vectored or mRNA vaccines (appendix p 4). Vectored vaccines have shown enhanced immunogenicity (relative to homologous vectored vaccine schedules) when administered before or after mRNA, but not inactivated vaccines (appendix p 4). By contrast, mRNA vaccines have shown no clear evidence of enhanced immunogenicity (relative to homologous mRNA vaccine schedules) when administered before or after vectored or inactivated vaccines (appendix p 4). Notably, several studies have shown approximate equivalence of the antibody response induced by heterologous vectored–mRNA versus homologous mRNA-only schedules.7Tan CS Collier A-r Liu J et al.Homologous and heterologous vaccine boost strategies for humoral and cellular immunologic coverage of the SARS-CoV-2 omicron variant.medRxiv. 2021; (published online Dec 30.)https://doi.org/10.1101/2021.12.02.21267198Google Scholar, 8Pozzetto B Legros V Djebali S et al.Immunogenicity and efficacy of heterologous ChAdOx1-BNT162b2 vaccination.Nature. 2021; 600: 701-706Crossref PubMed Scopus (61) Google Scholar The order of vaccine products might also be important, albeit apparently less so than the combination. The UK Com-COV study reported somewhat higher antibody concentrations following ChAdOx1-S–BNT162b2 than following BNT162b2–ChAdOx1-S.9Liu X Shaw RH Stuart ASV 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; 398: 856-869Summary Full Text Full Text PDF PubMed Scopus (151) Google Scholar However, both heterologous groups exhibited higher antibody concentrations than individuals who received two doses of ChAdOx1-S. A key caveat across the included studies is the small sample size for most heterologous product combinations and the shortage of extensive safety data. Where reported, heterologous schedules have typically shown higher short-term reactogenicity compared with homologous schedules,10Shaw RH Stuart A Greenland M Liu X Nguyen Van-Tam JS Snape MD Heterologous prime-boost COVID-19 vaccination: initial reactogenicity data.Lancet. 2021; 397: 2043-2046Summary Full Text Full Text PDF PubMed Scopus (124) Google Scholar, 11Normark J Vikström L Gwon YD et al.Heterologous ChAdOx1 nCoV-19 and mRNA-1273 vaccination.N Engl J Med. 2021; 385: 1049-1051Crossref PubMed Scopus (74) Google Scholar although not all studies have observed this difference.12Hillus D Schwarz T Tober-Lau P 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; 9: 1255-1265Summary Full Text Full Text PDF PubMed Scopus (98) Google Scholar A study in Canada documented higher rates of myocarditis or pericarditis when mRNA-1273 was administered as a heterologous second dose within 30 days of BNT162b2 compared with after mRNA-1273,13Buchan SA Seo CY Johnson C et al.Epidemiology of myocarditis and pericarditis following mRNA vaccines in Ontario, Canada: by vaccine product, schedule and interval.medRxiv. 2021; (published online Dec 5.)https://doi.org/10.1101/2021.12.02.21267156Google Scholar although it remains to be seen whether this difference will be confirmed by additional studies. Further monitoring for rare adverse events associated with heterologous vaccination is essential. In the interim, product-specific safety profiles can be considered by policy makers contemplating the use of heterologous schedules, albeit with the knowledge that these could be modestly altered in the context of heterologous usage. Heterologous schedules are poised to play an increasingly important role within the global COVID-19 vaccine strategy. In part, this will be driven by pragmatism as countries contend with variable supply for different vaccine products. However, independent of access considerations, the emerging VE and immunogenicity data highlight the value of heterologous schedules, depending on the platforms involved and the order of products used. A flexible approach to heterologous schedules is warranted as we seek to make optimal use of a diverse vaccine portfolio. The authors acknowledge the contributions of all members of the WHO's Strategic Advisory Group of Experts (SAGE) on Immunization and the SAGE Working Group on COVID-19 Vaccines. EPKP is a consultant for the SAGE Working Group on COVID-19 vaccines. SD, MM, KLO'B, JH, and AW-S are staff at WHO. The authors alone are responsible for the views expressed in this article and they do not necessarily represent the views, decisions, or policies of the institutions with which they are affiliated. Download .pdf (2.41 MB) Help with pdf files Supplementary appendix Correction to Lancet Infect Dis 2022; 22: 438–40Parker EPK, Desai S, Marti M, et al. Emerging evidence on heterologous COVID-19 vaccine schedules—to mix or not to mix? Lancet Infect Dis 2022; 22: 438–40—The appendix of this Comment has been corrected as of July 13, 2022. Full-Text PDF Open AccessCorrection to Lancet Infect Dis 2022; 22: 438–40Parker EPK, Desai S, Marti M, et al. Emerging evidence on heterologous COVID-19 vaccine schedules—to mix or not to mix? Lancet Infect Dis 2022; 22: 438–40—The appendix of this Comment has been corrected as of April 28, 2022. Full-Text PDF

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.049
metaresearch head score (Gemma)0.123
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.049
Threshold uncertainty score0.260

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0490.123
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0040.007
Bibliometrics0.0040.004
Science and technology studies0.0000.002
Scholarly communication0.0040.005
Open science0.0030.002
Research integrity0.0020.003
Insufficient payload (model declined to judge)0.0130.002

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.092
GPT teacher head0.409
Teacher spread0.318 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designNot applicable
Domainnot available
GenreReview

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

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Citations31
Published2022
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