Por favor, use este identificador para citar o enlazar este ítem: https://hdl.handle.net/10495/39583
Título : Surgical site infection in abdominal trauma patients: risk prediction and performance of the NNIS and SENIC indexes
Autor : Morales Uribe, Carlos Hernando
Escobar, Rene M.
Villegas Lanau, María Isabel
Castaño, Andrés
Trujillo, Juliana
metadata.dc.subject.*: Traumatismos Abdominales
Abdominal Injuries
Distribución por Edad
Age Distribution
Infección Hospitalaria
Cross Infection
Recolección de Datos
Data Collection
Mortalidad Hospitalaria
Hospital Mortality
Puntaje de Gravedad del Traumatismo
Injury Severity Score
Laparotomía
Laparotomy
Tiempo de Internación
Length of Stay
Modelos Logísticos
Logistic Models
Análisis Multivariante
Multivariate Analysis
Valor Predictivo de las Pruebas
Predictive Value of Tests
Estudios Prospectivos
Prospective Studies
Curva ROC
ROC Curve
Índice de Severidad de la Enfermedad
Severity of Illness Index
Medición de Riesgo
Risk Assessment
Distribución por Sexo
Sex Distribution
Infección de la Herida Quirúrgica
Surgical Wound Infection
Tasa de Supervivencia
Survival Rate
https://id.nlm.nih.gov/mesh/D017678
https://id.nlm.nih.gov/mesh/D000007
https://id.nlm.nih.gov/mesh/D017677
https://id.nlm.nih.gov/mesh/D003428
https://id.nlm.nih.gov/mesh/D003625
https://id.nlm.nih.gov/mesh/D017052
https://id.nlm.nih.gov/mesh/D015601
https://id.nlm.nih.gov/mesh/D007813
https://id.nlm.nih.gov/mesh/D007902
https://id.nlm.nih.gov/mesh/D016015
https://id.nlm.nih.gov/mesh/D015999
https://id.nlm.nih.gov/mesh/D011237
https://id.nlm.nih.gov/mesh/D011446
https://id.nlm.nih.gov/mesh/D012372
https://id.nlm.nih.gov/mesh/D012720
https://id.nlm.nih.gov/mesh/D018570
https://id.nlm.nih.gov/mesh/D013530
https://id.nlm.nih.gov/mesh/D015996
Fecha de publicación : 2011
Editorial : Canadian Medical Association
Resumen : ABSTRACT: Background: The National Nosocomial Infections Surveillance (NNIS) and Efficacy of Nosocomial Infection Control (SENIC) indexes are designed to develop control strategies and to reduce morbidity and mortality rates resulting from infections in surgical patients. We sought to assess the application of these indexes in patients undergoing surgery for abdominal trauma and to develop an alternative model to predict surgical site infections (SSIs). Methods: We conducted a prospective cohort study between November 2000 and March 2002. The main outcome measure was SSIs. We evaluated the variables included in the NNIS and SENIC indexes and some preoperative, intraoperative and postoperative variables that could be risk factors related to the development of SSIs. We performed multivariate analyses using a forward logistic regression method. Finally, we assessed infection risk prediction, comparing the estimated probabilities with actual occurrence using the areas under the receiver operating characteristic (ROC) curves. Results: Overall, 614 patients underwent an exploratory laparotomy. Of these, 85 (13.8%) experienced deep incisional and organ/intra-abdominal SSIs. The independent variables associated with this complication were an Abdominal Trauma Index score greater than 24, abdominal contamination and admission to the intensive care unit. We proposed a model for predicting deep incisional and organ/intra-abdominal SSIs using these variables (alternative model). The areas under the ROC curves were compared using the estimated probabilities for this alternative model and for the NNIS and SENIC scores. The analysis revealed a greater area under the ROC curve for the alternative model. The NNIS and SENIC scores did not perform as well as the alternative model in patients with abdominal trauma. Conclusion: The NNIS and SENIC indexes were inferior to the proposed alternative model for predicting SSIs in patients undergoing surgery for abdominal trauma.
metadata.dc.identifier.eissn: 1488-2310
ISSN : 0008-428X
metadata.dc.identifier.doi: 10.1503/cjs.022109
Aparece en las colecciones: Artículos de Revista en Ciencias Médicas

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