Predictive Power of the "Trigger Tool" for the detection of adverse events in general surgery: a multicenter observational validation study
Pérez Zapata, Ana Isabel ; Rodríguez Cuéllar, Elías ; de la Fuente Bartolomé, Marta ; Martín-Arriscado Arroba, Cristina ; García Morales, María Teresa ; Loinaz Segurola, Carmelo ; Giner Nogueras, Manuel ; Tejido Sánchez, Ángel ; Ruiz López, Pedro ; Ferrero Herrero, Eduardo ; Zarco Pleguezuelos, Antonio ; Romero Simó, Manuel ; Caballero Bouza, Albert ; Parés Martinez, David ; Julián Ibáñez, Juan Francés ; Balibrea del Castillo, José María ; Morales Sevillano, Xavier ; Díaz-Zorita Aguilar, Benjamín ; Martín Román, Lorena ; Gomez Ruiz, Marcos ; Fernández Miguel, Tamara ; Cagigas Fernandez, Carmen ; Moreno Bargueiras, Alejandro ; Cano Valderrama, Oscar ; Rivera Alonso, Daniel [...] Mostrar todos los autores (77)
Resumen: Background
In spite of the global implementation of standardized surgical safety checklists and evidence-based practices, general surgery remains associated with a high residual risk of preventable perioperative complications and adverse events. This study was designed to validate the hypothesis that a new “Trigger Tool” represents a sensitive predictor of adverse events in general surgery.
Methods
An observational multicenter validation study was performed among 31 hospitals in Spain. The previously described “Trigger Tool” based on 40 specific triggers was applied to validate the predictive power of predicting adverse events in the perioperative care of surgical patients. A prediction model was used by means of a binary logistic regression analysis.
Results
The prevalence of adverse events among a total of 1,132 surgical cases included in this study was 31.53%. The “Trigger Tool” had a sensitivity and specificity of 86.27% and 79.55% respectively for predicting these adverse events. A total of 12 selected triggers of overall 40 triggers were identified for optimizing the predictive power of the “Trigger Tool”.
Conclusions
The “Trigger Tool” has a high predictive capacity for predicting adverse events in surgical procedures. We recommend a revision of the original 40 triggers to 12 selected triggers to optimize the predictive power of this tool, which will have to be validated in future studies.
Idioma: Inglés
DOI: 10.1186/s13037-021-00316-3
Año: 2022
Publicado en: Patient Safety in Surgery 16 (2022), 7 [10 pp.]
ISSN: 1754-9493
Factor impacto CITESCORE: 6.2 - Medicine (Q1)
Factor impacto SCIMAGO: 0.738 - Surgery (Q1) - Anesthesiology and Pain Medicine (Q2) - Orthopedics and Sports Medicine (Q2)
Tipo y forma: Artículo (Versión definitiva)
Área (Departamento): Área Cirugía (Dpto. Cirugía)
Debe reconocer adecuadamente la autoría, proporcionar un enlace a la licencia e indicar si se han realizado cambios. Puede hacerlo de cualquier manera razonable, pero no de una manera que sugiera que tiene el apoyo del licenciador o lo recibe por el uso que hace.
Exportado de SIDERAL (2023-09-13-11:00:46)
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In spite of the global implementation of standardized surgical safety checklists and evidence-based practices, general surgery remains associated with a high residual risk of preventable perioperative complications and adverse events. This study was designed to validate the hypothesis that a new “Trigger Tool” represents a sensitive predictor of adverse events in general surgery.
Methods
An observational multicenter validation study was performed among 31 hospitals in Spain. The previously described “Trigger Tool” based on 40 specific triggers was applied to validate the predictive power of predicting adverse events in the perioperative care of surgical patients. A prediction model was used by means of a binary logistic regression analysis.
Results
The prevalence of adverse events among a total of 1,132 surgical cases included in this study was 31.53%. The “Trigger Tool” had a sensitivity and specificity of 86.27% and 79.55% respectively for predicting these adverse events. A total of 12 selected triggers of overall 40 triggers were identified for optimizing the predictive power of the “Trigger Tool”.
Conclusions
The “Trigger Tool” has a high predictive capacity for predicting adverse events in surgical procedures. We recommend a revision of the original 40 triggers to 12 selected triggers to optimize the predictive power of this tool, which will have to be validated in future studies.
Idioma: Inglés
DOI: 10.1186/s13037-021-00316-3
Año: 2022
Publicado en: Patient Safety in Surgery 16 (2022), 7 [10 pp.]
ISSN: 1754-9493
Factor impacto CITESCORE: 6.2 - Medicine (Q1)
Factor impacto SCIMAGO: 0.738 - Surgery (Q1) - Anesthesiology and Pain Medicine (Q2) - Orthopedics and Sports Medicine (Q2)
Tipo y forma: Artículo (Versión definitiva)
Área (Departamento): Área Cirugía (Dpto. Cirugía)
Debe reconocer adecuadamente la autoría, proporcionar un enlace a la licencia e indicar si se han realizado cambios. Puede hacerlo de cualquier manera razonable, pero no de una manera que sugiera que tiene el apoyo del licenciador o lo recibe por el uso que hace. Exportado de SIDERAL (2023-09-13-11:00:46)
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Artículos > Artículos por área > Cirugía
Registro creado el 2022-09-08, última modificación el 2023-09-14