External validation of the MiGUTS nomogram for the prediction of bleeding control intervention after renal trauma.


Journal

World journal of urology
ISSN: 1433-8726
Titre abrégé: World J Urol
Pays: Germany
ID NLM: 8307716

Informations de publication

Date de publication:
30 Sep 2024
Historique:
received: 02 01 2024
accepted: 16 08 2024
medline: 30 9 2024
pubmed: 30 9 2024
entrez: 30 9 2024
Statut: epublish

Résumé

The American Association for the Surgery of Trauma (AAST) renal trauma grading leads to a variable management of patients with high-grade renal injuries. For a better prediction of the risk for bleeding interventions, Keihani et al. introduced the multi-institutional genito-urinary trauma study (MiGUTS) renal trauma nomogram in 2019. The aim of this study was to conduct an external validation and generalization for all kidney trauma cases of the nomogram with a European cohort of a Swiss level 1 trauma center. We collected data from the clinical information system of the Kantonsspital Graubünden, Chur, Switzerland. All patients ≥ 18 years of age from 01.01.2008 to 01.12.2020 with a renal trauma who underwent computed tomography imaging of the abdomen were included. The descriptive analysis was performed by a t-test/Wilcoxon signed-rank test and a Chi-square test. The predictions of the nomogram were analysed by the Pearson correlation coefficient. The threshold of prediction of a bleeding intervention was optimized by a ROC analysis. Overall, 166 patients were included. Most patients were male (80.7%) with a median age of 44 years. Using the prediction from the MiGUTS nomogram developed by Keihani et al. we were able to identify a threshold with a sensitivity of 1.00, specificity of 0.87, positive predictive value of 0.44, negative predictive value of 1.00 and accuracy of 0.88. The MiGUTS nomogram by Keihani et al. demonstrated to be reliable in the prediction of an intervention for bleeding control in our validation study in a European cohort.

Identifiants

pubmed: 39347837
doi: 10.1007/s00345-024-05231-7
pii: 10.1007/s00345-024-05231-7
doi:

Types de publication

Journal Article Validation Study

Langues

eng

Sous-ensembles de citation

IM

Pagination

554

Informations de copyright

© 2024. The Author(s), under exclusive licence to Springer-Verlag GmbH Germany, part of Springer Nature.

Références

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Auteurs

Tobias Simon Schmidli (TS)

Department of Urology, Kantonsspital Graubünden, Loëstrasse 170, Chur, CH-7000, Switzerland. schmidli.ts@gmail.com.

Silvan Sigg (S)

Department of Urology, Kantonsspital Graubünden, Loëstrasse 170, Chur, CH-7000, Switzerland.

Sorena Keihani (S)

Department of Urology, University of Utah Health, Salt Lake City, USA.

Lars Bosshard (L)

NEXUS Personalized Health Technologies, ETH Zurich, and Swiss Institute of Bioinformatics, Zurich, Switzerland.

Michael Prummer (M)

NEXUS Personalized Health Technologies, ETH Zurich, and Swiss Institute of Bioinformatics, Zurich, Switzerland.

Anna S Nowag (AS)

Department of Urology, Kantonsspital Graubünden, Loëstrasse 170, Chur, CH-7000, Switzerland.

Jan Birzele (J)

Department of Urology, Kantonsspital Graubünden, Loëstrasse 170, Chur, CH-7000, Switzerland.

Chong Zhang (C)

Department of Urology, University of Utah Health, Salt Lake City, USA.

Jeremy B Myers (JB)

Department of Urology, University of Utah Health, Salt Lake City, USA.

Räto T Strebel (RT)

Department of Urology, Kantonsspital Graubünden, Loëstrasse 170, Chur, CH-7000, Switzerland.

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