Journal article

A prognostic model for use before elective surgery to estimate the risk of postoperative pulmonary complications (GSU-Pulmonary Score): a development and validation study in three international cohorts

Abstract:: Background
Pulmonary complications are the most common cause of death after surgery. This study aimed to derive and externally validate a novel prognostic model that can be used before elective surgery to estimate the risk of postoperative pulmonary complications and to support resource allocation and prioritisation during pandemic recovery.
Methods
Data from an international, prospective cohort study were used to develop a novel prognostic risk mod...
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Publication status:: Published

Peer review status:: Peer reviewed

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APA Style

Bravo, L., Simões, L. F. F., Cardoso, V. R., & Issa, F. G. (2024). A prognostic model for use before elective surgery to estimate the risk of postoperative pulmonary complications (GSU-Pulmonary Score): a development and validation study in three international cohorts. Lancet Digital Health, 6(7), e507–e519.

MLA Style

Bravo, L., et al. “A Prognostic Model for Use before Elective Surgery to Estimate the Risk of Postoperative Pulmonary Complications (GSU-Pulmonary Score): a Development and Validation Study in Three International Cohorts.” Lancet Digital Health, vol. 6, no. 7, Elsevier, 2024, pp. e507–e519.

Chicago Style

Bravo, L, LFF Simões, VR Cardoso, and FG Issa. 2024. “A Prognostic Model for Use before Elective Surgery to Estimate the Risk of Postoperative Pulmonary Complications (GSU-Pulmonary Score): a Development and Validation Study in Three International Cohorts.” Lancet Digital Health 6 (7): e507–e519.
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Files:: Bravo_et_al_2024_A_prognostic_model.pdf

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Publisher copy:: 10.1016/s2589-7500(24)00065-7

Authors

+ Bravo, L More by this author

Role:: Author

+ Simões, LFF More by this author

Role:: Author

+ Cardoso, VR More by this author

Role:: Author

+ Issa, FG More by this author

Institution:: University of Oxford
Division:: MSD
Department:: Surgical Sciences
Role:: Author

et al.

Contributors

+ NIHR Global Health Research Unit on Global Surgery

Role:: Contributor

+ STARSurg Collaborative

Role:: Contributor

+ European Commission More from this funder

Funder identifier:: https://ror.org/00k4n6c32
Grant:: 965286

Publisher:: Elsevier
Journal:: Lancet Digital Health More from this journal
Volume:: 6
Issue:: 7
Pages:: e507-e519
Publication date:: 2024-06-19
Acceptance date:: 2024-03-25
DOI:: 10.1016/s2589-7500(24)00065-7
EISSN:: 2589-7500
Pmid:: 38906616

Language:: English
Pubs id:: 2010795
Local pid:: pubs:2010795
Deposit date:: 2024-09-22

Terms of use

Copyright holder:: Bravo et al
Copyright date:: 2024
Rights statement:: © 2024 The Author(s). Published by Elsevier Ltd. This is an Open Access article under the CC BY 4.0 license.

Licence:: CC Attribution (CC BY)

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