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Utilice este identificador para citar o enlazar este documento: https://ria.asturias.es/RIA/handle/123456789/1101


Título: Valoración del Nosocomial Infections Surveillance System (Índice NNIS) como predictor de la aparición de la infección postoperatoria en cirugía colorrectal electiva. Medidas preventivas.
Otros Títulos: Valuation of the Nosocomial Infections Surveillance System (Index NNIS) as predictor of postoperative infection apearance in elective colorectal surgery. Preventive measures
Autores: Campo Ugidos, Rosa M.
Mata Peón, Esther
Blázquez Fernández, Marcelino
Martínez Magan, Lucía
Carrera Martínez, Diego
Palabras Claves: Enfermería
Infección nosocomial
Prevención de la infección
Cirugía colorrectal
Evaluación de tecnología sanitaria
Infección quirúrgica
Fecha Edición: Ene-2008
Editor: Fundación Index
Cita Bibliográfica: Braña B, Del Campo RM, Mata E, Blázquez M, Martínez L, Carrera D. Valoración del Nosocomial Infections Surveillance System (Índice NNIS) como predictor de la aparicion de la infección postoperatoria en cirugía colorrectal electiva. Medidas preventivas. Evidentia. 2008;5(19). Disponible en http://www.index-f.com/evidentia/n19/418articulo.php
Resumen: Background: The postoperative infection entails serious consequences for patient, family and sanitary institutions. Avoiding its appearance is a permanent preoccupation of the sanitary personnel. For it incidence studies have been developed, such as Nosocomial Infection Surveillance System. Depending on the score of NNIS risk index, we will talk about low, average or high probability to develop postoperative infection. Objectives: 1) valuation of the NNIS as a postoperative infection predictor; 2) compilation of the last recommendations about postoperative infections prevention. Methods: descriptive-retrospective study in postoperated patients of elective colorrectal surgery in 2002 and 2003. Statistical analysis was made with SPSS 11,5 (chi square test). Findings: there were 23,6% infections, all of them superficial. The NNIS was not related to the postoperative infection diagnosis. The type of removal conditioned its appearance (p=0,23). The hospital stay was prolonged by infection in 10,67 days (p=0,49). We obtained positive microbiological cultivation in 90.48% of the infections. Conclusions: the innumerable precipitating factors of postoperative infection make that NNIS is insufficient as predictor of its appearance. The nursing role is basic for the precocious identification of the postoperative infections. The control and prevention measures are necessary. The sanitary personnel must know and carry out them in their daily practice.
URI: https://ria.asturias.es/RIA/handle/123456789/1101
ISSN: 1697-638X
Aparece en las Colecciones:Sanidad

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