- Title
- Combining sarcopenia and ASA status to inform emergency laparotomy outcomes: could it be that simple?
- Creator
- Ming, Yan Joyce; Howley, Peter; Holmes, Merran; Gani, Jon; Pockney, Peter; Hunter Emergency Laparotomy Collaborator Group,
- Relation
- ANZ Journal of Surgery Vol. 93, Issue 7-8, p. 1811-1816
- Publisher Link
- http://dx.doi.org/10.1111/ans.18551
- Publisher
- John Wiley & Sons
- Resource Type
- journal article
- Date
- 2023
- Description
- Background: Risk assessment for emergency laparotomy (EL) is important for guiding decision-making and anticipating the level of perioperative care in acute clinical settings. While established tools such as the American College of Surgeons National Surgical Quality Improvement Program calculator (ACS-NSQIP), the National Emergency Laparotomy Audit Risk Prediction Calculator (NELA) and the Portsmouth Physiological and Operative Severity Score for the enumeration of Mortality and Morbidity calculation (P-POSSUM) are accurate predictors for mortality, there has been increasing recognition of the benefits from including measurements for frailty in a simple and quantifiable manner. Psoas muscle to 3rd lumbar vertebra area ratio (PM:L3) measured on CT scans was proven to have a significant inverse association with 30-, 90- and 365-day mortality in EL patients. Methods: A retrospective analysis was conducted of 500 patients admitted to four Australian hospitals who underwent EL during 2016–2017, and had contemporaneous abdomino-pelvic CT scans. Radiological sarcopenia was measured as PM:L3 ratios. ASC-NSQIP, NELA and P-POSSUM were retrospectively calculated. Univariate and multivariate logistic regression modelling was used to assess these ratios and scores, as well as American Society of Anaesthesiologists (ASA) classification separated into ASA I-III and IV/V (simplified ASA), as potential predictors of 30-, 90- and 365-day mortality. Results: PM:L3, simplified ASA, ACS-NSQIP, NELA and P-POSSUM were each statistically significant predictors of 30-day, 90-day and 365-day mortality (P < 0.001). Logistic regression models of 30-, 90- and 365-day mortality combining PM:L3 (P = 0.001) and simplified ASA (P < 0.001) exhibited AUCs of 0.838 (0.780, 0.896), 0.805 (0.751, 0.860) and 0.775 (0.729, 0.822), respectively, which were comparable to that of ACS-NSQIP and NELA. Conclusion: Combining the semi-physiological parameter ASA classification with PM:L3 provides a quick and simple alternative to the more complex established risk assessment scores and is superior to PM:L3 alone.
- Subject
- general surgery; laparotomy; sarcopenia; decision making
- Identifier
- http://hdl.handle.net/1959.13/1494348
- Identifier
- uon:53774
- Identifier
- ISSN:1445-1433
- Rights
- © 2023 The Authors. ANZ Journal of Surgery published by John Wiley & Sons Australia, Ltd on behalf of Royal Australasian College of Surgeons. This is an open access article under the terms of the Creative Commons Attribution-NonCommercial-NoDerivs License, which permits use and distribution in any medium, provided the original work is properly cited, the use is non-commercial and no modifications or adaptations are made.
- Language
- eng
- Full Text
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