Long-term risk prediction after major lower limb amputation: 1-year results of the PERCEIVE study

Brenig Llwyd Gwilym*, Philip Pallmann, Cherry-Ann Waldron, Emma Thomas-Jones, Sarah Milosevic, Lucy Brookes-Howell, Debbie Harris, Ian Massey, Jo Burton, Phillippa Stewart, Katie Samuel, Sian Jones, David Cox, Annie Clothier, Hayley Prout, Adrian Edwards, Chris P Twine, David Charles Bosanquet, Vascular and Endovascular Research Network (VERN) and the PERCEIVE study group

*Corresponding author for this work

Research output: Contribution to journalArticle (Academic Journal)peer-review

2 Citations (Scopus)

Abstract

BACKGROUND: Decision-making when considering major lower limb amputation is complex and requires individualized outcome estimation. It is unknown how accurate healthcare professionals or relevant outcome prediction tools are at predicting outcomes at 1-year after major lower limb amputation.

METHODS: An international, multicentre prospective observational study evaluating healthcare professional accuracy in predicting outcomes 1 year after major lower limb amputation and evaluation of relevant outcome prediction tools identified in a systematic search of the literature was undertaken. Observed outcomes at 1 year were compared with: healthcare professionals' preoperative predictions of death (surgeons and anaesthetists), major lower limb amputation revision (surgeons) and ambulation (surgeons, specialist physiotherapists and vascular nurse practitioners); and probabilities calculated from relevant outcome prediction tools.

RESULTS: A total of 537 patients and 2244 healthcare professional predictions of outcomes were included. Surgeons and anaesthetists had acceptable discrimination (C-statistic = 0.715), calibration and overall performance (Brier score = 0.200) when predicting 1-year death, but performed worse when predicting major lower limb amputation revision and ambulation (C-statistics = 0.627 and 0.662 respectively). Healthcare professionals overestimated the death and major lower limb amputation revision risks. Consultants outperformed trainees, especially when predicting ambulation. Allied healthcare professionals marginally outperformed surgeons in predicting ambulation. Two outcome prediction tools (C-statistics = 0.755 and 0.717, Brier scores = 0.158 and 0.178) outperformed healthcare professionals' discrimination, calibration and overall performance in predicting death. Two outcome prediction tools for ambulation (C-statistics = 0.688 and 0.667) marginally outperformed healthcare professionals.

CONCLUSION: There is uncertainty in predicting 1-year outcomes following major lower limb amputation. Different professional groups performed comparably in this study. Two outcome prediction tools for death and two for ambulation outperformed healthcare professionals and may support shared decision-making.
Original languageEnglish
Article numberzrad135
Number of pages12
JournalBJS Open
Volume8
Issue number1
DOIs
Publication statusPublished - 24 Jan 2024

Bibliographical note

Publisher Copyright:
© The Author(s) 2024. Published by Oxford University Press on behalf of BJS Foundation Ltd.

Keywords

  • Humans
  • Health Personnel
  • Amputation, Surgical
  • Consultants
  • Decision Making, Shared
  • Lower Extremity/surgery

Fingerprint

Dive into the research topics of 'Long-term risk prediction after major lower limb amputation: 1-year results of the PERCEIVE study'. Together they form a unique fingerprint.

Cite this