The PERCEIVE quantitative study: PrEdiction of Risk and Communication of outcome following major lower limb amputation: protocol for a collaboratiVE study
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Published version
Author(s)
Type
Journal Article
Abstract
Background
Accurate prediction of outcomes following surgery with high morbidity and mortality rates is essential for informed shared decision-making between patients and clinicians. It is unknown how accurately healthcare professionals predict outcomes following major lower limb amputation (MLLA). Several MLLA outcome prediction tools have been developed. These could be valuable in clinical practice, but most require validation in independent cohorts before routine clinical use can be recommended. Our primary aim is to evaluate the accuracy of healthcare professionals’ predictions of outcomes in adult patients undergoing MLLA for complications of chronic limb threatening ischaemia (CLTI) or diabetes. Secondary aims include the validation of existing outcome prediction tools.
Method
This study is an international, multicentre prospective observational study including adult patients undergoing a primary MLLA for CLTI or diabetes. Healthcare professionals’ accuracy in predicting outcomes at 30-days (mortality, morbidity and MLLA revision) and 1-year (mortality, MLLA revision and ambulation) will be evaluated. Sixteen existing outcome prediction tools specific to MLLA will be examined for validity. Data collection began on 1st October 2020, the end of follow-up will be 1st May 2022. The C-statistic, Hosmer-Lemeshow test, reclassification tables, and Brier score will be used to evaluate the predictive performance of healthcare professionals and prediction tools, respectively.
Study registration and dissemination
This study will be registered locally at each centre in accordance with local policies before commencing data collection, overseen by local clinician leads. Results will be disseminated to all centres, and any subsequent presentation(s) and/or publication(s) will follow a collaborative co-authorship model.
Accurate prediction of outcomes following surgery with high morbidity and mortality rates is essential for informed shared decision-making between patients and clinicians. It is unknown how accurately healthcare professionals predict outcomes following major lower limb amputation (MLLA). Several MLLA outcome prediction tools have been developed. These could be valuable in clinical practice, but most require validation in independent cohorts before routine clinical use can be recommended. Our primary aim is to evaluate the accuracy of healthcare professionals’ predictions of outcomes in adult patients undergoing MLLA for complications of chronic limb threatening ischaemia (CLTI) or diabetes. Secondary aims include the validation of existing outcome prediction tools.
Method
This study is an international, multicentre prospective observational study including adult patients undergoing a primary MLLA for CLTI or diabetes. Healthcare professionals’ accuracy in predicting outcomes at 30-days (mortality, morbidity and MLLA revision) and 1-year (mortality, MLLA revision and ambulation) will be evaluated. Sixteen existing outcome prediction tools specific to MLLA will be examined for validity. Data collection began on 1st October 2020, the end of follow-up will be 1st May 2022. The C-statistic, Hosmer-Lemeshow test, reclassification tables, and Brier score will be used to evaluate the predictive performance of healthcare professionals and prediction tools, respectively.
Study registration and dissemination
This study will be registered locally at each centre in accordance with local policies before commencing data collection, overseen by local clinician leads. Results will be disseminated to all centres, and any subsequent presentation(s) and/or publication(s) will follow a collaborative co-authorship model.
Date Issued
2021-11
Date Acceptance
2021-10-19
Citation
BJS Open, 2021, 5 (6), pp.1-6
ISSN
2474-9842
Publisher
Oxford University Press
Start Page
1
End Page
6
Journal / Book Title
BJS Open
Volume
5
Issue
6
Copyright Statement
© The Author(s) 2021. Published by Oxford University Press on behalf of BJS Society Ltd.
This is an Open Access article distributed under the terms of the Creative Commons Attribution Non-Commercial License (https://creativecommons.org/licenses/by-nc/4.0/), which permits non-commercial re-use, distribution, and reproduction in any medium, provided the original work is properly cited. For commercial re-use, please contact journals.permissions@oup.com
This is an Open Access article distributed under the terms of the Creative Commons Attribution Non-Commercial License (https://creativecommons.org/licenses/by-nc/4.0/), which permits non-commercial re-use, distribution, and reproduction in any medium, provided the original work is properly cited. For commercial re-use, please contact journals.permissions@oup.com
License URL
Identifier
https://academic.oup.com/bjsopen/article/5/6/zrab118/6446265
Publication Status
Published
Date Publish Online
2021-11-30