The ARISCAT score is a promising model to predict postoperative pulmonary complications after major emergency abdominal surgery: an external validation in a Danish cohort.


Journal

European journal of trauma and emergency surgery : official publication of the European Trauma Society
ISSN: 1863-9941
Titre abrégé: Eur J Trauma Emerg Surg
Pays: Germany
ID NLM: 101313350

Informations de publication

Date de publication:
Oct 2022
Historique:
received: 21 06 2021
accepted: 01 11 2021
pubmed: 21 1 2022
medline: 12 10 2022
entrez: 20 1 2022
Statut: ppublish

Résumé

Postoperative pulmonary complications (PPCs) occur in up to 30% of patients undergoing surgery and are a significant contributor to the overall risk of surgery. A preoperative risk prediction tool for postoperative pulmonary complications could succour clinical identification of patients at increased risk and support clinical decision making. This original study aimed to externally validate a risk model for predicting postoperative pulmonary complications (ARISCAT) in a cohort of patients undergoing major emergency abdominal surgery at a Danish University Hospital. ARISCAT was validated prospectively in a cohort of patients undergoing major emergency abdominal surgery between March 2017 and January 2019. Predicted PPCs by ARISCAT were compared with observed PPCs. ARISCAT was validated with calibration, discrimination and accuracy and in adherence to the TRIPOD statement. The study included a total of 585 patients with a median age of 70 years. The majority of patients underwent emergency laparotomy without bowel resection. The predicted PPC frequency by ARISCAT was 24.9%, while the observed frequency of PPCs in the cohort was 36.1%. The slope of the calibration plot was 0.9546, the y axis interception was 0.1269 and the plot was well fitted to a linear slope. The Hosmer Lemeshow goodness-of-fit analysis showed good calibration (p > 0.25). ARISCAT showed good discrimination with AUC 0.83 (95% CI 0.79-0.86) on a receiver-operating characteristics curve and the accuracy was also good with a Brier score of 0.19. ARISCAT was a promising tool to predict PPCs in a high-risk surgical population undergoing major emergency abdominal surgery.

Identifiants

pubmed: 35050387
doi: 10.1007/s00068-021-01826-6
pii: 10.1007/s00068-021-01826-6
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

3863-3867

Informations de copyright

© 2022. The Author(s), under exclusive licence to Springer-Verlag GmbH Germany.

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Auteurs

Dunja Kokotovic (D)

Department of Gastrointestinal Surgery, Copenhagen University Hospital-Herlev and Gentofte, Copenhagen, Denmark. dunja.kokotovic@hotmail.com.

Thea Helene Degett (TH)

Department of Surgery, Zealand University Hospital, Køge, Denmark.
Survivorship and Inequality in Cancer, Danish Cancer Society Research Center, Copenhagen, Denmark.

Sarah Ekeloef (S)

Department of Surgery, Zealand University Hospital, Køge, Denmark.

Jakob Burcharth (J)

Department of Surgery, Zealand University Hospital, Køge, Denmark.

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