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

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SARS-CoV-2 vaccination modelling for safe surgery to save lives: data from an international prospective cohort study. / COVIDSurg Collaborative, GlobalSurg Collaborative .

In: BRIT J SURG, Vol. 108, No. 9, 27.09.2021, p. 1056-1063.

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@article{61646c50aae34d1f87727aae8069bf8b,
title = "SARS-CoV-2 vaccination modelling for safe surgery to save lives: data from an international prospective cohort study",
abstract = "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.",
author = "{COVIDSurg Collaborative, GlobalSurg Collaborative} and Betz, {Christian Stephan} and Chia-Jung Busch and Johannes Bier and Arne B{\"o}ttcher and Simon Burg and Chia-Jung Busch and Lara Bu{\ss}mann and Martin Gosau and Annika Heuer and Jakob Izbicki and Klatte, {Till Orla} and Daniela K{\"o}nig and Leon-Gordian K{\"o}pke and Nikolaus M{\"o}ckelmann and Christine Nitschke and Praetorius, {Mark Joachim} and Matthias Priemel and Rupert Stadlhofer and Martin Stangenberg and Uzunoglu, {Faik G{\"u}ntac} and Lukas Wittig and Zech, {Henrike Barbara Antonia Angelika} and Nina Zeller",
note = "{\textcopyright} The Author(s) 2021. Published by Oxford University Press on behalf of BJS Society Ltd. All rights reserved. For permissions, please email: journals.permissions@oup.com.",
year = "2021",
month = sep,
day = "27",
doi = "10.1093/bjs/znab101",
language = "English",
volume = "108",
pages = "1056--1063",
journal = "BRIT J SURG",
issn = "0007-1323",
publisher = "John Wiley and Sons Ltd",
number = "9",

}

RIS

TY - JOUR

T1 - SARS-CoV-2 vaccination modelling for safe surgery to save lives: data from an international prospective cohort study

AU - COVIDSurg Collaborative, GlobalSurg Collaborative

AU - Betz, Christian Stephan

AU - Busch, Chia-Jung

AU - Bier, Johannes

AU - Böttcher, Arne

AU - Burg, Simon

AU - Busch, Chia-Jung

AU - Bußmann, Lara

AU - Gosau, Martin

AU - Heuer, Annika

AU - Izbicki, Jakob

AU - Klatte, Till Orla

AU - König, Daniela

AU - Köpke, Leon-Gordian

AU - Möckelmann, Nikolaus

AU - Nitschke, Christine

AU - Praetorius, Mark Joachim

AU - Priemel, Matthias

AU - Stadlhofer, Rupert

AU - Stangenberg, Martin

AU - Uzunoglu, Faik Güntac

AU - Wittig, Lukas

AU - Zech, Henrike Barbara Antonia Angelika

AU - Zeller, Nina

N1 - © The Author(s) 2021. Published by Oxford University Press on behalf of BJS Society Ltd. All rights reserved. For permissions, please email: journals.permissions@oup.com.

PY - 2021/9/27

Y1 - 2021/9/27

N2 - 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.

AB - 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.

U2 - 10.1093/bjs/znab101

DO - 10.1093/bjs/znab101

M3 - SCORING: Journal article

C2 - 33761533

VL - 108

SP - 1056

EP - 1063

JO - BRIT J SURG

JF - BRIT J SURG

SN - 0007-1323

IS - 9

ER -