SARS-Cov-2 vaccination modelling for safe surgery to save lives: data from an international prospective cohort study

Background: Preoperative SARS-CoV-2 vaccination could support safer elective surgery. Vaccine numbers are limited so this study aimed to inform their prioritization by modelling. Methods: The primary outcome was the number needed to vaccinate (NNV) to prevent one COVID-19-related death in 1 year. NN...

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Detalles Bibliográficos
Autor: Mateo Sierra, Olga
Tipo de recurso: artículo
Fecha de publicación:2021
País:España
Institución:Universidad Complutense de Madrid (UCM)
Repositorio:Docta Complutense
Idioma:inglés
OAI Identifier:oai:docta.ucm.es:20.500.14352/128464
Acceso en línea:https://hdl.handle.net/20.500.14352/128464
Access Level:acceso abierto
Palabra clave:616.98:578.834
Ciencias Biomédicas
Enfermedades infecciosas
32 Ciencias Médicas
3205.05 Enfermedades Infecciosas
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spelling SARS-Cov-2 vaccination modelling for safe surgery to save lives: data from an international prospective cohort studyMateo Sierra, Olga616.98:578.834Ciencias BiomédicasEnfermedades infecciosas32 Ciencias Médicas3205.05 Enfermedades InfecciosasBackground: Preoperative SARS-CoV-2 vaccination could support safer elective surgery. Vaccine numbers are limited so this study aimed to inform their prioritization by modelling. Methods: The primary outcome was the number needed to vaccinate (NNV) to prevent one COVID-19-related death in 1 year. NNVs were based on postoperative SARS-CoV-2 rates and mortality in an international cohort study (surgical patients), and community SARS-CoV-2 incidence and case fatality data (general population). NNV estimates were stratified by age (18-49, 50-69, 70 or more years) and type of surgery. Best- and worst-case scenarios were used to describe uncertainty. Results: NNVs were more favourable in surgical patients than the general population. The most favourable NNVs were in patients aged 70 years or more needing cancer surgery (351; best case 196, worst case 816) or non-cancer surgery (733; best case 407, worst case 1664). Both exceeded the NNV in the general population (1840; best case 1196, worst case 3066). NNVs for surgical patients remained favourable at a range of SARS-CoV-2 incidence rates in sensitivity analysis modelling. Globally, prioritizing preoperative vaccination of patients needing elective surgery ahead of the general population could prevent an additional 58 687 (best case 115 007, worst case 20 177) COVID-19-related deaths in 1 year. Conclusion: As global roll out of SARS-CoV-2 vaccination proceeds, patients needing elective surgery should be prioritized ahead of the general population.Oxford Univeristy PressUniversidad Complutense de Madrid20212021-09-0120212021-09-01journal articlehttp://purl.org/coar/resource_type/c_6501VoRhttp://purl.org/coar/version/c_970fb48d4fbd8a85info:eu-repo/semantics/articleapplication/pdfhttps://hdl.handle.net/20.500.14352/128464reponame:Docta Complutenseinstname:Universidad Complutense de Madrid (UCM)Inglésengopen accesshttp://purl.org/coar/access_right/c_abf2Attribution 4.0 Internationalhttp://creativecommons.org/licenses/by/4.0/info:eu-repo/semantics/openAccessoai:docta.ucm.es:20.500.14352/1284642026-06-02T12:44:21Z
dc.title.none.fl_str_mv SARS-Cov-2 vaccination modelling for safe surgery to save lives: data from an international prospective cohort study
title SARS-Cov-2 vaccination modelling for safe surgery to save lives: data from an international prospective cohort study
spellingShingle SARS-Cov-2 vaccination modelling for safe surgery to save lives: data from an international prospective cohort study
Mateo Sierra, Olga
616.98:578.834
Ciencias Biomédicas
Enfermedades infecciosas
32 Ciencias Médicas
3205.05 Enfermedades Infecciosas
title_short SARS-Cov-2 vaccination modelling for safe surgery to save lives: data from an international prospective cohort study
title_full SARS-Cov-2 vaccination modelling for safe surgery to save lives: data from an international prospective cohort study
title_fullStr SARS-Cov-2 vaccination modelling for safe surgery to save lives: data from an international prospective cohort study
title_full_unstemmed SARS-Cov-2 vaccination modelling for safe surgery to save lives: data from an international prospective cohort study
title_sort SARS-Cov-2 vaccination modelling for safe surgery to save lives: data from an international prospective cohort study
dc.creator.none.fl_str_mv Mateo Sierra, Olga
author Mateo Sierra, Olga
author_facet Mateo Sierra, Olga
author_role author
dc.contributor.none.fl_str_mv Universidad Complutense de Madrid
dc.subject.none.fl_str_mv 616.98:578.834
Ciencias Biomédicas
Enfermedades infecciosas
32 Ciencias Médicas
3205.05 Enfermedades Infecciosas
topic 616.98:578.834
Ciencias Biomédicas
Enfermedades infecciosas
32 Ciencias Médicas
3205.05 Enfermedades Infecciosas
description Background: Preoperative SARS-CoV-2 vaccination could support safer elective surgery. Vaccine numbers are limited so this study aimed to inform their prioritization by modelling. Methods: The primary outcome was the number needed to vaccinate (NNV) to prevent one COVID-19-related death in 1 year. NNVs were based on postoperative SARS-CoV-2 rates and mortality in an international cohort study (surgical patients), and community SARS-CoV-2 incidence and case fatality data (general population). NNV estimates were stratified by age (18-49, 50-69, 70 or more years) and type of surgery. Best- and worst-case scenarios were used to describe uncertainty. Results: NNVs were more favourable in surgical patients than the general population. The most favourable NNVs were in patients aged 70 years or more needing cancer surgery (351; best case 196, worst case 816) or non-cancer surgery (733; best case 407, worst case 1664). Both exceeded the NNV in the general population (1840; best case 1196, worst case 3066). NNVs for surgical patients remained favourable at a range of SARS-CoV-2 incidence rates in sensitivity analysis modelling. Globally, prioritizing preoperative vaccination of patients needing elective surgery ahead of the general population could prevent an additional 58 687 (best case 115 007, worst case 20 177) COVID-19-related deaths in 1 year. Conclusion: As global roll out of SARS-CoV-2 vaccination proceeds, patients needing elective surgery should be prioritized ahead of the general population.
publishDate 2021
dc.date.none.fl_str_mv 2021
2021-09-01
2021
2021-09-01
dc.type.none.fl_str_mv journal article
http://purl.org/coar/resource_type/c_6501
VoR
http://purl.org/coar/version/c_970fb48d4fbd8a85
dc.type.openaire.fl_str_mv info:eu-repo/semantics/article
format article
dc.identifier.none.fl_str_mv https://hdl.handle.net/20.500.14352/128464
url https://hdl.handle.net/20.500.14352/128464
dc.language.none.fl_str_mv Inglés
eng
language_invalid_str_mv Inglés
language eng
dc.rights.none.fl_str_mv open access
http://purl.org/coar/access_right/c_abf2
Attribution 4.0 International
http://creativecommons.org/licenses/by/4.0/
dc.rights.openaire.fl_str_mv info:eu-repo/semantics/openAccess
rights_invalid_str_mv open access
http://purl.org/coar/access_right/c_abf2
Attribution 4.0 International
http://creativecommons.org/licenses/by/4.0/
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv application/pdf
dc.publisher.none.fl_str_mv Oxford Univeristy Press
publisher.none.fl_str_mv Oxford Univeristy Press
dc.source.none.fl_str_mv reponame:Docta Complutense
instname:Universidad Complutense de Madrid (UCM)
instname_str Universidad Complutense de Madrid (UCM)
reponame_str Docta Complutense
collection Docta Complutense
repository.name.fl_str_mv
repository.mail.fl_str_mv
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