Evaluation of a modified emergency surgical acuity score in predicting operative and non-operative mortality and morbidity in an acute surgical unit.


Journal

ANZ journal of surgery
ISSN: 1445-2197
Titre abrégé: ANZ J Surg
Pays: Australia
ID NLM: 101086634

Informations de publication

Date de publication:
10 2023
Historique:
revised: 29 05 2023
received: 16 02 2023
accepted: 30 05 2023
medline: 23 10 2023
pubmed: 10 6 2023
entrez: 10 6 2023
Statut: ppublish

Résumé

Emergency general surgery (EGS) patients have an increased risk of mortality and morbidity compared to other surgical patients. Limited risk assessment tools exist for use in both operative and non-operative EGS patients. We assessed the accuracy of a modified Emergency Surgical Acuity Score (mESAS) in EGS patients at our institution. A retrospective cohort study from an acute surgical unit at a tertiary referral hospital was performed. Primary endpoints assessed included death before discharge, length of stay (LOS) >5 days and unplanned readmission within 28 days. Operative and non-operative patients were analysed separately. Validation was performed using the area under the receiver operating characteristic (AUROC), Brier score and Hosmer-Lemeshow test. A total of 1763 admissions between March 2018 and June 2021 were included for analysis. The mESAS was an accurate predictor of both death before discharge (AUROC 0.979, Brier score 0.007, Hosmer-Lemeshow P = 0.981) and LOS >5 days (0.787, 0.104, and 0.253, respectively). The mESAS was less accurate in predicting readmission within 28 days (0.639, 0.040, and 0.887, respectively). The mESAS retained its predictive ability for death before discharge and LOS >5 days in the split cohort analysis. This study is the first to validate a modified ESAS in a non-operatively managed EGS population internationally and the first to validate the mESAS in Australia. The mESAS accurately predicts death before discharge and prolonged LOS for all EGS patients, providing a highly useful tool for surgeons and EGS units worldwide.

Sections du résumé

BACKGROUND
Emergency general surgery (EGS) patients have an increased risk of mortality and morbidity compared to other surgical patients. Limited risk assessment tools exist for use in both operative and non-operative EGS patients. We assessed the accuracy of a modified Emergency Surgical Acuity Score (mESAS) in EGS patients at our institution.
METHODS
A retrospective cohort study from an acute surgical unit at a tertiary referral hospital was performed. Primary endpoints assessed included death before discharge, length of stay (LOS) >5 days and unplanned readmission within 28 days. Operative and non-operative patients were analysed separately. Validation was performed using the area under the receiver operating characteristic (AUROC), Brier score and Hosmer-Lemeshow test.
RESULTS
A total of 1763 admissions between March 2018 and June 2021 were included for analysis. The mESAS was an accurate predictor of both death before discharge (AUROC 0.979, Brier score 0.007, Hosmer-Lemeshow P = 0.981) and LOS >5 days (0.787, 0.104, and 0.253, respectively). The mESAS was less accurate in predicting readmission within 28 days (0.639, 0.040, and 0.887, respectively). The mESAS retained its predictive ability for death before discharge and LOS >5 days in the split cohort analysis.
CONCLUSION
This study is the first to validate a modified ESAS in a non-operatively managed EGS population internationally and the first to validate the mESAS in Australia. The mESAS accurately predicts death before discharge and prolonged LOS for all EGS patients, providing a highly useful tool for surgeons and EGS units worldwide.

Identifiants

pubmed: 37296520
doi: 10.1111/ans.18564
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

2297-2302

Informations de copyright

© 2023 The Authors. ANZ Journal of Surgery published by John Wiley & Sons Australia, Ltd on behalf of Royal Australasian College of Surgeons.

Références

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Auteurs

Hogan Wang (H)

Northern Clinical School, Sydney Medical School, University of Sydney, Sydney, New South Wales, Australia.

Veronica Luu (V)

Data Analysis and Surgical Outcomes Unit, Royal North Shore Hospital, Sydney, New South Wales, Australia.

Eric Jiang (E)

Surgical Education Research and Training Institute, Royal North Shore Hospital, Sydney, New South Wales, Australia.

Olivia Kirkland (O)

Acute Surgical Unit, Royal North Shore Hospital, Sydney, New South Wales, Australia.

Shahrir Kabir (S)

Northern Clinical School, Sydney Medical School, University of Sydney, Sydney, New South Wales, Australia.
Acute Surgical Unit, Royal North Shore Hospital, Sydney, New South Wales, Australia.

Sean S Davis (SS)

Northern Clinical School, Sydney Medical School, University of Sydney, Sydney, New South Wales, Australia.
Acute Surgical Unit, Royal North Shore Hospital, Sydney, New South Wales, Australia.

Thomas J Hugh (TJ)

Northern Clinical School, Sydney Medical School, University of Sydney, Sydney, New South Wales, Australia.
Surgical Education Research and Training Institute, Royal North Shore Hospital, Sydney, New South Wales, Australia.
Acute Surgical Unit, Royal North Shore Hospital, Sydney, New South Wales, Australia.

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