Literature DB >> 31655045

Clinical validation of risk scoring systems to predict risk of delayed bleeding after EMR of large colorectal lesions.

Eduardo Albéniz1, Antonio Zebenzuy Gimeno-García2, María Fraile3, Berta Ibáñez4, Carlos Guarner-Argente5, Pedro Alonso-Aguirre6, Marco Antonio Álvarez7, Carla Jerusalén Gargallo8, María Pellisé9, Felipe Ramos Zabala10, Alberto Herreros de Tejada11, Óscar Nogales12, David Martínez-Ares13, Fernando Múgica14, Joaquín de la Peña15, Jorge Espinós16, Alain Huerta17, Alberto Álvarez18, Jesús M Gonzalez-Santiago18, Francisco Navajas19, Juan Gabriel Martínez-Cara20, Eduardo Redondo-Cerezo20, Josep Merlo Mas21, Fernando Sábado22, Liseth Rivero9, Esteban Saperas23, Santiago Soto24, Joaquín Rodríguez-Sánchez25, Leopoldo López-Roses26, Manuel Rodríguez-Téllez27, María Rullán Iriarte1, Alfonso Elosua González1, Remedios Pardeiro6, Eduardo Valdivielso Cortázar6, Mar Concepción-Martín5, Patricia Huelin Álvarez5, Juan Colán Hernández5, Julyssa Cobian14, José Santiago11, Alejandra Jiménez27, David Remedios24, Bartolomé López-Viedma25, Orlando García28, Felipe Martínez-Alcalá29, Francisco Pérez-Roldán30, Jorge Carbó31, Mónica Enguita32.   

Abstract

BACKGROUND AND AIMS: The Endoscopic Resection Group of the Spanish Society of Endoscopy (GSEED-RE) model and the Australian Colonic Endoscopic Resection (ACER) model were proposed to predict delayed bleeding (DB) after EMR of large superficial colorectal lesions, but neither has been validated. We validated and updated these models.
METHODS: A multicenter cohort study was performed in patients with nonpedunculated lesions ≥20 mm removed by EMR. We assessed the discrimination and calibration of the GSEED-RE and ACER models. Difficulty performing EMR was subjectively categorized as low, medium, or high. We created a new model, including factors associated with DB in 3 cohort studies.
RESULTS: DB occurred in 45 of 1034 EMRs (4.5%); it was associated with proximal location (odds ratio [OR], 2.84; 95% confidence interval [CI], 1.31-6.16), antiplatelet agents (OR, 2.51; 95% CI, .99-6.34) or anticoagulants (OR, 4.54; 95% CI, 2.14-9.63), difficulty of EMR (OR, 3.23; 95% CI, 1.41-7.40), and comorbidity (OR, 2.11; 95% CI, .99-4.47). The GSEED-RE and ACER models did not accurately predict DB. Re-estimation and recalibration yielded acceptable results (GSEED-RE area under the curve [AUC], .64 [95% CI, .54-.74]; ACER AUC, .65 [95% CI, .57-.73]). We used lesion size, proximal location, comorbidity, and antiplatelet or anticoagulant therapy to generate a new model, the GSEED-RE2, which achieved higher AUC values (.69-.73; 95% CI, .59-.80) and exhibited lower susceptibility to changes among datasets.
CONCLUSIONS: The updated GSEED-RE and ACER models achieved acceptable prediction levels of DB. The GSEED-RE2 model may achieve better prediction results and could be used to guide the management of patients after validation by other external groups. (Clinical trial registration number: NCT03050333.).
Copyright © 2020 American Society for Gastrointestinal Endoscopy. Published by Elsevier Inc. All rights reserved.

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Year:  2019        PMID: 31655045     DOI: 10.1016/j.gie.2019.10.013

Source DB:  PubMed          Journal:  Gastrointest Endosc        ISSN: 0016-5107            Impact factor:   9.427


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  7 in total

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