Predictive Power of the "Trigger Tool" for the detection of adverse events in general surgery: a multicenter observational validation study.

Autor: Pérez Zapata AI; General and Gastrointestinal Department at 12 de Octubre University Hospital, Avda Córdoba sn, 28041, Madrid, Spain. zgzana83@hotmail.com., Rodríguez Cuéllar E; General and Gastrointestinal Department at 12 de Octubre University Hospital, Avda Córdoba sn, 28041, Madrid, Spain., de la Fuente Bartolomé M; General and Gastrointestinal Department at Infanta Elena University Hospital, Valdemoro, Spain., Martín-Arriscado Arroba C; Biomedical Research Fundation, 12 de Octubre University Hospital, Madrid, Spain., García Morales MT; Biomedical Research Fundation, 12 de Octubre University Hospital, Madrid, Spain., Loinaz Segurola C; General and Gastrointestinal Department at 12 de Octubre University Hospital, Avda Córdoba sn, 28041, Madrid, Spain., Giner Nogueras M; Madrid Proffesor Surgery Department at Medicine Faculty. Complutense University, San Carlos University Hospital, Madrid, Spain., Tejido Sánchez Á; Urology Department, 12 de Octubre University Hospital, Avda Córdoba sn, 28041, Madrid, Spain., Ruiz López P; General and Gastrointestinal Department at 12 de Octubre University Hospital, Avda Córdoba sn, 28041, Madrid, Spain., Ferrero Herrero E; General and Gastrointestinal Department at 12 de Octubre University Hospital, Avda Córdoba sn, 28041, Madrid, Spain.
Jazyk: angličtina
Zdroj: Patient safety in surgery [Patient Saf Surg] 2022 Feb 08; Vol. 16 (1), pp. 7. Date of Electronic Publication: 2022 Feb 08.
DOI: 10.1186/s13037-021-00316-3
Abstrakt: 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.
(© 2022. The Author(s).)
Databáze: MEDLINE
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