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. N...

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Main Authors: Nepogodiev, Dmitri, Collaborative, COVIDSurg, Collaborative, GlobalSurg, Ab. Rahman, Norhafiza, Ab Rashid, Islah Munjih, Abd Aziz, Mohd Fahmi, Abdul Rahman, Mohd Norhisham Azmi, Amjad, Nasser Muhammad, Che Alhadi, Shahidah, Elagili, Faisal, Kamarulzaman, Mohd Nazli, Md Nor, Azmi, Othman, Ahmad Faidzal, Sainal, Mohd. Yusof, Sarif, Mat Salleh
Format: Article
Language:English
English
English
Published: Oxford University Press 2021
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Online Access:http://irep.iium.edu.my/89118/1/znab101.pdf
http://irep.iium.edu.my/89118/7/89118_author_collaborator%20list.pdf
http://irep.iium.edu.my/89118/13/89118_SARS-CoV-2%20vaccination%20modelling%20for%20safe%20surgery_scopus.pdf
http://irep.iium.edu.my/89118/
https://academic.oup.com/bjs/advance-article/doi/10.1093/bjs/znab101/6182412
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Institution: Universiti Islam Antarabangsa Malaysia
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spelling my.iium.irep.891182021-05-18T14:17:41Z http://irep.iium.edu.my/89118/ SARS-CoV-2 vaccination modelling for safe surgery to save lives: data from an international prospective cohort study Nepogodiev, Dmitri Collaborative, COVIDSurg Collaborative, GlobalSurg Ab. Rahman, Norhafiza Ab Rashid, Islah Munjih Abd Aziz, Mohd Fahmi Abdul Rahman, Mohd Norhisham Azmi Amjad, Nasser Muhammad Che Alhadi, Shahidah Elagili, Faisal Kamarulzaman, Mohd Nazli Md Nor, Azmi Othman, Ahmad Faidzal Sainal, Mohd. Yusof Sarif, Mat Salleh R Medicine (General) RA Public aspects of medicine RA0421 Public health. Hygiene. Preventive Medicine RD Surgery 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. Oxford University Press 2021-03-24 Article PeerReviewed application/pdf en http://irep.iium.edu.my/89118/1/znab101.pdf application/pdf en http://irep.iium.edu.my/89118/7/89118_author_collaborator%20list.pdf application/pdf en http://irep.iium.edu.my/89118/13/89118_SARS-CoV-2%20vaccination%20modelling%20for%20safe%20surgery_scopus.pdf Nepogodiev, Dmitri and Collaborative, COVIDSurg and Collaborative, GlobalSurg and Ab. Rahman, Norhafiza and Ab Rashid, Islah Munjih and Abd Aziz, Mohd Fahmi and Abdul Rahman, Mohd Norhisham Azmi and Amjad, Nasser Muhammad and Che Alhadi, Shahidah and Elagili, Faisal and Kamarulzaman, Mohd Nazli and Md Nor, Azmi and Othman, Ahmad Faidzal and Sainal, Mohd. Yusof and Sarif, Mat Salleh (2021) SARS-CoV-2 vaccination modelling for safe surgery to save lives: data from an international prospective cohort study. British Journal of Surgery. pp. 1-8. ISSN 0007-1323 E-ISSN 1365-2168 https://academic.oup.com/bjs/advance-article/doi/10.1093/bjs/znab101/6182412 10.1093/bjs/znab101
institution Universiti Islam Antarabangsa Malaysia
building IIUM Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider International Islamic University Malaysia
content_source IIUM Repository (IREP)
url_provider http://irep.iium.edu.my/
language English
English
English
topic R Medicine (General)
RA Public aspects of medicine
RA0421 Public health. Hygiene. Preventive Medicine
RD Surgery
spellingShingle R Medicine (General)
RA Public aspects of medicine
RA0421 Public health. Hygiene. Preventive Medicine
RD Surgery
Nepogodiev, Dmitri
Collaborative, COVIDSurg
Collaborative, GlobalSurg
Ab. Rahman, Norhafiza
Ab Rashid, Islah Munjih
Abd Aziz, Mohd Fahmi
Abdul Rahman, Mohd Norhisham Azmi
Amjad, Nasser Muhammad
Che Alhadi, Shahidah
Elagili, Faisal
Kamarulzaman, Mohd Nazli
Md Nor, Azmi
Othman, Ahmad Faidzal
Sainal, Mohd. Yusof
Sarif, Mat Salleh
SARS-CoV-2 vaccination modelling for safe surgery to save lives: data from an international prospective cohort study
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.
format Article
author Nepogodiev, Dmitri
Collaborative, COVIDSurg
Collaborative, GlobalSurg
Ab. Rahman, Norhafiza
Ab Rashid, Islah Munjih
Abd Aziz, Mohd Fahmi
Abdul Rahman, Mohd Norhisham Azmi
Amjad, Nasser Muhammad
Che Alhadi, Shahidah
Elagili, Faisal
Kamarulzaman, Mohd Nazli
Md Nor, Azmi
Othman, Ahmad Faidzal
Sainal, Mohd. Yusof
Sarif, Mat Salleh
author_facet Nepogodiev, Dmitri
Collaborative, COVIDSurg
Collaborative, GlobalSurg
Ab. Rahman, Norhafiza
Ab Rashid, Islah Munjih
Abd Aziz, Mohd Fahmi
Abdul Rahman, Mohd Norhisham Azmi
Amjad, Nasser Muhammad
Che Alhadi, Shahidah
Elagili, Faisal
Kamarulzaman, Mohd Nazli
Md Nor, Azmi
Othman, Ahmad Faidzal
Sainal, Mohd. Yusof
Sarif, Mat Salleh
author_sort Nepogodiev, Dmitri
title SARS-CoV-2 vaccination modelling for safe surgery to save lives: data from an international prospective cohort study
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
publisher Oxford University Press
publishDate 2021
url http://irep.iium.edu.my/89118/1/znab101.pdf
http://irep.iium.edu.my/89118/7/89118_author_collaborator%20list.pdf
http://irep.iium.edu.my/89118/13/89118_SARS-CoV-2%20vaccination%20modelling%20for%20safe%20surgery_scopus.pdf
http://irep.iium.edu.my/89118/
https://academic.oup.com/bjs/advance-article/doi/10.1093/bjs/znab101/6182412
_version_ 1701162783102468096