ABSTRACT
El manejo clínico y epidemiológico de los pacientes con fibrosis quística (FQ) con exacerbaciones pulmonares agudas o infecciones pulmonares crónicas demanda una actualización permanente de procedimientos médicos y microbiológicos, estos se asocian con la constante evolución de los agentes patógenos durante la colonización de su hospedador. Para poder monitorear la dinámica de estos procesos es fundamental disponer de sistemas expertos que permitan almacenar, extraer y utilizar la información generada a partir de estudios realizados sobre el paciente y los microorganismos aislados de aquel. En este trabajo hemos diseñado y desarrollado una base de datos on-line basada en un sistema informático que permite el almacenamiento, el manejo y la visualización de la información proveniente de estudios clínicos y de análisis microbiológicos de bacterias obtenidas del tracto respiratorio del paciente con FQ. Este sistema informático fue designado como Cystic Fibrosis Cloud database (CFC database) y está disponible en el sitio http://servoy.infocomsa.com/cfc_database. Está compuesto por una base de datos principal y una interfaz on-line, la cual emplea la arquitectura de productos Servoy basada en tecnología Java. Si bien el sistema CFC database puede ser implementado como un programa local de uso privado en los centros de asistencia a pacientes con FQ, admite también la posibilidad de ser empleado, actualizado y compartido por diferentes usuarios, quienes pueden acceder a la información almacenada de manera ordenada, práctica y segura. La implementación del CFC database podría tener una gran impacto en la monitorización de las infecciones respiratorias, la prevención de exacerbaciones, la detección de organismos emergentes y la adecuación de las estrategias de control de infecciones pulmonares en pacientes con FQ
The epidemiological and clinical management of cystic fibrosis (CF) patients suffering from acute pulmonary exacerbations or chronic lung infections demands continuous updating of medical and microbiological processes associated with the constant evolution of pathogens during host colonization. In order to monitor the dynamics of these processes, it is essential to have expert systems capable of storing and subsequently extracting the information generated from different studies of the patients and microorganisms isolated from them. In this work we have designed and developed an on-line database based on an information system that allows to store, manage and visualize data from clinical studies and microbiological analysis of bacteria obtained from the respiratory tract of patients suffering from cystic fibrosis. The information system, named Cystic Fibrosis Cloud database is available on the http://servoy.infocomsa.com/cfc_database site and is composed of a main database and a web-based interface, which uses Servoy's product architecture based on Java technology. Although the CFC database system can be implemented as a local program for private use in CF centers, it can also be used, updated and shared by different users who can access the stored information in a systematic, practical and safe manner. The implementation of the CFC database could have a significant impact on the monitoring of respiratory infections, the prevention of exacerbations, the detection of emerging organisms, and the adequacy of control strategies for lung infections in CF patients
Subject(s)
Information Storage and Retrieval/methods , Cystic Fibrosis/physiopathology , Cystic Fibrosis/microbiology , Data Visualization , Database , Data Management/organization & administration , Monitoring, Physiologic/methodsABSTRACT
BACKGROUND: Pertussis, or whooping cough, caused by Bordetella pertussis (BP) is a re-emerging problem in our environment. Although generally considered that the disease is relatively easy to identify infections respiratory syncytial virus (RSV) can present with similar symptoms in infants remains difficult discrimination. OBJECTIVE: Compare clinical symptoms at admission and complementary studies in infants hospitalized with acute respiratory infection (ARI) and RSV by BP to establish markers that enable their early clinical prediction. MATERIALS AND METHODS: Observational, analytical, case-crossover cross comparing younger than 6 months hospitalized with suspected IRA and pertussis (2007-2012) in which BP identified (PCR and culture) and / or VRS (immunofluorescence in nasal secretions). Coinfections were excluded. Bivariate analysis was performed by calculating OR with 95
CI. Were considered significant at p <0.05. The variables studied were age, sex, hits cough, cyanosis, vomiting, apnea, wheezing and CBC with differential RESULTS: We included 174 infants, 72 (41
) BP and 102 (59
) VRS. Age 2 ± 1 months (range :1-6). In both groups was documented cough and wheeze (OR: 1.2 (0.9 to 1.5) p: 0.1 and OR = 0.9 (0.8 to 1.06) p: 0.2, respectively ). Cyanosis (87
, OR: 13.4 p <0.01) and vomiting (26
, OR: 3.4 p <0.01) were more frequent in infants with BP. The absolute lymphocyte count was significantly higher in children with BP (9387 ± 6317 vs. 5127 ± 2766, p <0.01). By ROC curve was identified at 9000 cells / ml as the best point to differentiate VSR BP (AUC = 0.73, 95
CI :0,64-0, 81). CONCLUSIONS: In infants under 6 months with IRA income presence of apnea, cyanosis and lymphocytosis allowing predict significantly differentiate between pertussis those with RSV infections.