Skip to main page content
U.S. flag

An official website of the United States government

Dot gov

The .gov means it’s official.
Federal government websites often end in .gov or .mil. Before sharing sensitive information, make sure you’re on a federal government site.

Https

The site is secure.
The https:// ensures that you are connecting to the official website and that any information you provide is encrypted and transmitted securely.

Access keys NCBI Homepage MyNCBI Homepage Main Content Main Navigation
. 2023 Oct;78(10):1262-1271.
doi: 10.1111/anae.16096. Epub 2023 Jul 14.

Development and validation of a prognostic model for death 30 days after adult emergency laparotomy

Affiliations
Free article

Development and validation of a prognostic model for death 30 days after adult emergency laparotomy

N Eugene et al. Anaesthesia. 2023 Oct.
Free article

Abstract

The probability of death after emergency laparotomy varies greatly between patients. Accurate pre-operative risk prediction is fundamental to planning care and improving outcomes. We aimed to develop a model limited to a few pre-operative factors that performed well irrespective of surgical indication: obstruction; sepsis; ischaemia; bleeding; and other. We derived a model with data from the National Emergency Laparotomy Audit for patients who had emergency laparotomy between December 2016 and November 2018. We tested the model on patients who underwent emergency laparotomy between December 2018 and November 2019. There were 4077/40,816 (10%) deaths 30 days after surgery in the derivation cohort. The final model had 13 pre-operative variables: surgical indication; age; blood pressure; heart rate; respiratory history; urgency; biochemical markers; anticipated malignancy; anticipated peritoneal soiling; and ASA physical status. The predicted mortality probability deciles ranged from 0.1% to 47%. There were 1888/11,187 deaths in the test cohort. The scaled Brier score, integrated calibration index and concordance for the model were 20%, 0.006 and 0.86, respectively. Model metrics were similar for the five surgical indications. In conclusion, we think that this prognostic model is suitable to support decision-making before emergency laparotomy as well as for risk adjustment for comparing organisations.

Keywords: emergency laparotomy; postoperative mortality; prediction; prognosis.

PubMed Disclaimer

Comment in

References

    1. Eugene N, Oliver CM, Bassett MG, et al. Development and internal validation of a novel risk adjustment model for adult patients undergoing emergency laparotomy surgery: the National Emergency Laparotomy Audit risk model. British Journal of Anaesthesia 2018; 121: 739-48.
    1. Royal College of Surgeons of England. The High-Risk General Surgical Patient: Raising the Standard. 2018. https://www.rcseng.ac.uk/-/media/files/rcs/news-and-events/media-centre/... (accessed 26/06/2023).
    1. Walker K, Finan PJ, van der Meulen JH. Model for risk adjustment of postoperative mortality in patients with colorectal cancer. British Journal of Surgery 2015; 102: 269-80.
    1. Tekkis PP, Prytherch DR, Kocher HM, Senapati A, Poloniecki JD, Stamatakis JD, Windsor ACJ. Development of a dedicated risk-adjustment scoring system for colorectal surgery (colorectal POSSUM). British Journal of Surgery 2004; 91: 1174-82.
    1. Sreeharsha H, Sp R, Sreekar H, Reddy R. Efficacy of POSSUM score in predicting the outcome in patients undergoing emergency laparotomy. Polish Journal of Surgery 2014; 86: 159-65.

LinkOut - more resources