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Verfasst von:Santol, Jonas [VerfasserIn]   i
 Kim, Sarang [VerfasserIn]   i
 Gregory, Lindsey A. [VerfasserIn]   i
 Baumgartner, Ruth [VerfasserIn]   i
 Murtha-Lemekhova, Anastasia [VerfasserIn]   i
 Birgin, Emrullah [VerfasserIn]   i
 Gloor, Severin [VerfasserIn]   i
 Braunwarth, Eva [VerfasserIn]   i
 Ammann, Markus [VerfasserIn]   i
 Starlinger, Johannes [VerfasserIn]   i
 Pereyra, David [VerfasserIn]   i
 Ammon, Daphni [VerfasserIn]   i
 Ninkovic, Marijana [VerfasserIn]   i
 Kern, Anna E. [VerfasserIn]   i
 Rumpf, Benedikt [VerfasserIn]   i
 Ortmayr, Gregor [VerfasserIn]   i
 Herrmann, Yannic [VerfasserIn]   i
 Dong, Yawen [VerfasserIn]   i
 Huber, Felix X. [VerfasserIn]   i
 Weninger, Jeremias [VerfasserIn]   i
 Thiels, Cornelius A. [VerfasserIn]   i
 Warner, Susanne G. [VerfasserIn]   i
 Smoot, Rory L. [VerfasserIn]   i
 Truty, Mark J. [VerfasserIn]   i
 Kendrick, Michael L. [VerfasserIn]   i
 Nagorney, David M. [VerfasserIn]   i
 Cleary, Sean P. [VerfasserIn]   i
 Beldi, Guido [VerfasserIn]   i
 Rahbari, Nuh Nabi [VerfasserIn]   i
 Hoffmann, Katrin [VerfasserIn]   i
 Gilg, Stefan [VerfasserIn]   i
 Assinger, Alice [VerfasserIn]   i
 Gruenberger, Thomas [VerfasserIn]   i
 Hackl, Hubert [VerfasserIn]   i
 Starlinger, Patrick [VerfasserIn]   i
Titel:An APRI+ALBI-based multivariable model as a preoperative predictor for posthepatectomy liver failure
Verf.angabe:Jonas Santol, MD, Sarang Kim, Lindsey A. Gregory, PA-C, MS, Ruth Baumgartner, MD, Anastasia Murtha-Lemekhova, MD, Emrullah Birgin, MD, Severin Gloor, MD, Eva Braunwarth, MD, Markus Ammann, MD, Johannes Starlinger, MD, PhD, David Pereyra, MD, PhD, Daphni Ammon, MD, Marijana Ninkovic, MD, Anna E. Kern, Benedikt Rumpf, MD, Gregor Ortmayr, MD, Yannic Herrmann, Yawen Dong, MD, Felix X. Huber, Jeremias Weninger, Cornelius A. Thiels, DO, MBA, Susanne G. Warner, MD, Rory L. Smoot, MD, Mark J. Truty, MD, Michael L. Kendrick, MD, David M. Nagorney, MD, Sean P. Cleary, MD, Guido Beldi, MD, Nuh N. Rahbari, MD, Katrin Hoffmann, MD, MBA, Stefan Gilg, MD, PhD, Alice Assinger, PhD, Thomas Gruenberger, MD,* Hubert Hackl, PhD, and Patrick Starlinger, MD, PhD
E-Jahr:2025
Jahr:May 2025
Umfang:11 S.
Illustrationen:Illustrationen
Fussnoten:Gesehen am 27.05.2025
Titel Quelle:Enthalten in: Annals of surgery
Ort Quelle:[Erscheinungsort nicht ermittelbar] : Lippincott Williams & Wilkins, 1885
Jahr Quelle:2025
Band/Heft Quelle:281(2025), 5, Seite 861-871
ISSN Quelle:1528-1140
Abstract:Objective and Background: - Clinically significant posthepatectomy liver failure (PHLF B+C) remains the main cause of mortality after major hepatic resection. This study aimed to establish an aspartate aminotransferase to platelet ratio combined with an albumin-bilirubin grade (APRI+ALBI), based multivariable model (MVM) to predict PHLF and compare its performance to indocyanine green clearance (ICG-R15 or ICG-PDR) and albumin-ICG evaluation (ALICE). - Methods: - A total of 12,056 patients from the National Surgical Quality Improvement Program database were used to generate a MVM to predict PHLF B+C. The model was determined using stepwise backwards elimination. The performance of the model was tested using receiver operating characteristic curve analysis and validated in an international cohort of 2525 patients. In 620 patients, the APRI+ALBI MVM, trained in the National Surgical Quality Improvement Program cohort, was compared with the MVM’s based on other liver function tests (ICG clearance, ALICE) by comparing the areas under the curve (AUC). - Results: - A MVM including APRI+ALBI, age, sex, tumor type, and extent of resection was found to predict PHLF B+C with an AUC of 0.77, with comparable performance in the validation cohort (AUC: 0.74). In direct comparison with other MVM’s based on more expensive and time-consuming liver function tests (ICG clearance, ALICE), the APRI+ALBI MVM demonstrated equal predictive potential for PHLF B+C. A smartphone application for the calculation of the APRI+ALBI MVM was designed. - Conclusion: - Risk assessment through the APRI+ALBI MVM for PHLF B+C increases preoperative predictive accuracy and represents a universally available and cost-effective risk assessment before hepatectomy, facilitated by a freely available smartphone app.
DOI:doi:10.1097/SLA.0000000000006127
URL:Bitte beachten Sie: Dies ist ein Bibliographieeintrag. Ein Volltextzugriff für Mitglieder der Universität besteht hier nur, falls für die entsprechende Zeitschrift/den entsprechenden Sammelband ein Abonnement besteht oder es sich um einen OpenAccess-Titel handelt.

kostenfrei: Volltext: https://doi.org/10.1097/SLA.0000000000006127
 kostenfrei: Volltext: https://journals.lww.com/annalsofsurgery/fulltext/2025/05000/an_apri_albi_based_multivariable_model_as_a.20.aspx
 DOI: https://doi.org/10.1097/SLA.0000000000006127
Datenträger:Online-Ressource
Sprache:eng
K10plus-PPN:1926704851
Verknüpfungen:→ Zeitschrift

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