Development and internal validation of a model for postoperative morbidity in adults undergoing major elective colorectal surgery: the peri-operative quality improvement programme (PQIP) colorectal risk model.
colorectal surgery
monitoring
morbidity
quality improvement
risk-adjustment
Journal
Anaesthesia
ISSN: 1365-2044
Titre abrégé: Anaesthesia
Pays: England
ID NLM: 0370524
Informations de publication
Date de publication:
12 2022
12 2022
Historique:
accepted:
28
07
2022
pubmed:
22
9
2022
medline:
11
11
2022
entrez:
21
9
2022
Statut:
ppublish
Résumé
Over 1.5 million major surgical procedures take place in the UK NHS each year and approximately 25% of patients develop at least one complication. The most widely used risk-adjustment model for postoperative morbidity in the UK is the physiological and operative severity score for the enumeration of mortality and morbidity. However, this model was derived more than 30 years ago and now overestimates the risk of morbidity. In addition, contemporary definitions of some model predictors are markedly different compared with when the tool was developed. A second model used in clinical practice is the American College of Surgeons National Surgical Quality Improvement Programme risk model; this provides a risk estimate for a range of postoperative complications. This model, widely used in North America, is not open source and therefore cannot be applied to patient populations in other settings. Data from a prospective multicentre clinical dataset of 118 NHS hospitals (the peri-operative quality improvement programme) were used to develop a bespoke risk-adjustment model for postoperative morbidity. Patients aged ≥ 18 years who underwent colorectal surgery were eligible for inclusion. Postoperative morbidity was defined using the postoperative morbidity survey at postoperative day 7. Thirty-one candidate variables were considered for inclusion in the model. Death or morbidity occurred by postoperative day 7 in 3098 out of 11,646 patients (26.6%). Twelve variables were incorporated into the final model, including (among others): Rockwood clinical frailty scale; body mass index; and index of multiple deprivation quintile. The C-statistic was 0.672 (95%CI 0.660-0.684), with a bootstrap optimism corrected C-statistic of 0.666 at internal validation. The model demonstrated good calibration across the range of morbidity estimates with a mean slope gradient of predicted risk of 0.959 (95%CI 0.894-1.024) with an index-corrected intercept of -0.038 (95%CI -0.112-0.036) at internal validation. Our model provides parsimonious case-mix adjustment to quantify risk of morbidity on postoperative day 7 for a UK population of patients undergoing major colorectal surgery. Despite the C-statistic of < 0.7, our model outperformed existing risk-models in widespread use. We therefore recommend application in case-mix adjustment, where incorporation into a continuous monitoring tool such as the variable life adjusted display or exponentially-weighted moving average-chart could support high-level monitoring and quality improvement of risk-adjusted outcome at the population level.
Identifiants
pubmed: 36130834
doi: 10.1111/anae.15858
pmc: PMC9826419
doi:
Types de publication
Journal Article
Langues
eng
Sous-ensembles de citation
IM
Pagination
1356-1367Subventions
Organisme : The Health Foundation
ID : AIMS ID: 430167
Organisme : Royal College of Anaesthetists
Investigateurs
S Ramani Moonesinghe
(SR)
Duncan Wagstaff
(D)
James Bedford
(J)
Arun Sahni
(A)
Dermot McGuckin
(D)
David Gilhooly
(D)
Cristel Santos
(C)
Jonathan Wilson
(J)
Peter Martin
(P)
Georgina Singleton
(G)
Kylie Edwards
(K)
Cecilia Vindrola-Padros
(C)
Samantha Warnakulasuriya
(S)
Jenny Dorey
(J)
Irene Leeman
(I)
Dorian Martinez
(D)
Jose Lourtie
(J)
Rachel Baumber
(R)
Andrew Swift
(A)
Alexander Jackson
(A)
Naomi Fulop
(N)
Alexandra Brent
(A)
Karen Williams
(K)
Mike Grocott
(M)
Monty Mythen
(M)
Dominic Olive
(D)
Christine Taylor
(C)
Sharon Drake
(S)
Mike Swart
(M)
Anne-Marie Bougeard
(AM)
Matthew Bedford
(M)
Abigail Vallance
(A)
Pritam Singh
(P)
Ravi Vohra
(R)
Aleksandra Ignacka
(A)
Olga Tucker
(O)
Giuseppe Aresu
(G)
Martin Cripps
(M)
Helen Ellicott
(H)
Katie Samuel
(K)
Maria Chazapis
(M)
Anna Batchelor
(A)
Chris Snowden
(C)
Dave Murray
(D)
Elspeth Evans
(E)
Emma Vaux
(E)
John Abercrombie
(J)
Jonathan McGhie
(J)
Jugdeep Dhesi
(J)
Tom Clark
(T)
Anna Crossley
(A)
John McGrath
(J)
Marie Digner
(M)
Mark Hamilton
(M)
Robert Hill
(R)
Samantha Shinde
(S)
Stephen Brett
(S)
Commentaires et corrections
Type : CommentIn
Informations de copyright
© 2022 The Authors. Anaesthesia published by John Wiley & Sons Ltd on behalf of Association of Anaesthetists.
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