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External validation of the Cairns Prediction Model (CPM) to predict conversion from laparoscopic to open cholecystectomy

Journal article
Authors A. S. Y. Hu
P. O'Donohue
Ronny K Gunnarsson
A. de Costa
Published in American Journal of Surgery
Volume 216
Issue 5
Pages 949-954
ISSN 0002-9610
Publication year 2018
Published at Institute of Medicine, Department of Public Health and Community Medicine
Pages 949-954
Language en
Links dx.doi.org/10.1016/j.amjsurg.2018.0...
Keywords risk-factors, acute cholecystitis, cell carcinoma, nomogram, score, laparotomy, outcomes, Surgery
Subject categories Surgery

Abstract

Background: Valid and user-friendly prediction models for conversion to open cholecystectomy allow for proper planning prior to surgery. The Cairns Prediction Model (CPM) has been in use clinically in the original study site for the past three years, but has not been tested at other sites. Methods: A retrospective, single-centred study collected ultrasonic measurements and clinical variables alongside with conversion status from consecutive patients who underwent laparoscopic cholecystectomy from 2013 to 2016 in The Townsville Hospital, North Queensland, Australia. An area under the curve (AUC) was calculated to externally validate of the CPM. Results: Conversion was necessary in 43 (4.2%) out of 1035 patients. External validation showed an area under the curve of 0.87 (95% CI 0.82-0.93, p = 1.1 x 10(-14)). Conclusions: In comparison with most previously published models, which have an AUC of approximately 0.80 or less, the CPM has the highest AUC of all published prediction models both for internal and external validation.

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