22 research outputs found
Ley 17/2021, de 15 de diciembre, de modificación del Código Civil, la Ley Hipotecaria y la Ley de Enjuiciamiento Civil, sobre el régimen jurídico de los animales [BOE-A-2021-20727]
Get PDFDirectiva (ue) 2019/771, del Parlamento Europeo y del Consejo, de 20 de mayo de 2019, relativa a determinados aspectos de los contratos de compraventa de bienes [doue l 136/28, de 20-v-2019]
Get PDFLey Orgánica 8/2015, de 22 de julio, de modificación del sistema de protección a la infancia y a la adolescencia [BOE n.º 175, de 23-VII-2015] y Ley 26/2015, de 28 de julio, de modificación del sistema de protección a la infancia y a la adolescencia [BOE
Get PDFLey 29/1994, de 24 de noviembre, de arrendamientos urbanos [BOE-A-1994-26003]
Get PDF[ES]Crónica de legislación. Derecho civi
Ley 4/2013, de 4 de junio, de medidas de flexibilización y fomento del mercado de alquiler de viviendas [boe n.º 134, de 5-VI-2013]
Get PDFLey 4/2013, de 4 de junio, de medidas de flexibilización y fomento del mercado de alquiler de viviendas [boe n.º 134, de 5-VI-2013
Ley 6/2021, de 28 de abril, por la que se modifica la Ley 20/2011, de 21 de julio, del Registro Civil
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Derecho civil 1: Parte general y Derecho de la persona. Grado en Derecho
Get PDFMemoria ID11-180. Ayudas de la Universidad de Salamanca para la innovación docente, curso 2011-2012
Diseño de un modelo de preparación de la defensa y exposición pública del Trabajo Final de Máster
Get PDFMemoria ID-0014. Ayudas de la Universidad de Salamanca para la innovación docente, curso 2015-2016
Predictive Power of the "Trigger Tool" for the detection of adverse events in general surgery: a multicenter observational validation study
Get PDFBackground
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
