Search

Objective: To evaluate changes in RSV seasonality in the last 25 years and their correlation with the mean annual temperature., Methods: Cross-sectional study, based on RSV and temperature data from the City of Buenos Aires (1995-2019). For each year, we describe the beginning, end, and duration of the RSV season and the correlation with the mean annual temperature., Results: We identified 10,183 RSV infections. The duration of the RSV season decreased significantly (1995: 29 weeks vs. 2019: 18 weeks; R: 0.6 (p< 0.001)), due to an earlier ending (1995: week 45 vs. 2019: week 34; 0.6 (p<0.001)). No correlation was observed between mean annual temperature and the duration, start, or end of the RSV season., Conclusion: In the last 25 years, the duration of the RSV season has been significantly shortened due to an earlier ending, without correlation with temperature., (Universidad Nacional de Córdoba)

Introduction: Air pollution would increase the risk of severe infection repiratory in pediatrics. Research Sources: Environmental Protection Agency, National Meteorological. Service and Integral Health History of the Hospital Management System. Population: Patients under 2 years old who consulted for severe infection repiratory in effectors of Buenos Aires City Government and lived commune with continuous environmental monitoring during 2018. Predictors were daily levels of air pollutants (carbon monoxide, nitrous dioxide, particulate matter < 10 μ). Pollutants were measured at three monitoring stations. Temporal variables (media temperature), sex and effector were controlled. Result Variable: Total numbers of visits and total numbers of visits for severe infection respiratory. To select in the data base the visits to analyze an operative definition was made., Objective: Review impact of air pollution visits for severe infection repiratory in effectors of Buenos Aires City Government., Method: Ecologic research, time-series., Results: 80.287 visits were registered, 24.847 for severe infection respiratory (30%). The visits for severe infection respiratory had positive correlation in Cordoba station with N2O (RR: 1,13 [1,00-1,28]). The numbers of visits for severe infection respiratory was higher during cold months than warm months. (19,9% vs 11,9%; RR:1,67 [1,61-1,72])., Conclusion: average values of PM10 and N2O show correlation with the numbers of total visits and visits for severe infection respiratory. The visits increase during winter., (Universidad Nacional de Córdoba)

Introducción: La contaminación del aire incrementaría el riesgo de infección respiratoria aguda (IRA) en pediatría. Objetivo: evaluar el impacto de la contaminación del aire en las consultas por IRA realizadas en efectores del Gobierno de la Ciudad de Buenos Aires. Método: estudio ecológico, de series temporales. Fuentes de información: Agencia de Protección Ambiental, Servicio Meteorológico Nacional e Historia de Salud Integral del Sistema de Gestión Hospitalaria. Población: Pacientes menores de 2 años que consultaron por IRA a un efector del GCBA y que residían en una comuna con monitoreo ambiental continuo, durante el 2018. Variables de predicción: Niveles diarios de CO, NO2, PM10 de las estaciones de monitoreo ambiental continuo de la Ciudad Autónoma de Buenos Aires. Variables de resultado: número de consultas totales y por IRA. Variables a controlar: efector, sexo y temperatura media. Se construyó una definición operativa para seleccionar en la base de datos a las consultas objeto de estudio. Resultados: Se registraron 80.287 consultas, 24.847 por IRA (30%). Las consultas por IRA tuvieron correlación positiva en la estación "Córdoba" con el N2O (RR: 1,13 [1,00-1,28]). El número de consultas por IRA en los meses fríos fue mayor que en los cálidos (19,9% vs 11,9%; RR:1,67 [1,61-1,72]). Conclusión: Los valores promedios de PM10 y N2O muestran correlación con el número de las consultas totales y por infección respiratoria aguda, respectivamente. Las consultas se incrementaron durante el invierno.

Background: Due to ambiguities in terminology, acute lower respiratory infections (ALRI) in childhood are frequently not properly recorded, especially during outpatient visits. A tool that accurately identifies them, would assess the impact on respiratory health of massive harms, and design policies to prevent or mitigate their effects. We aimed to design an algorithm that allows identifying children with ALRI based on data from the electronic clinical record (ECR) of the Government of the City of Buenos Aires (GCBA)., Methods: From the ECR-GCBA database, we randomly selected 1000 outpatient visits of patients aged under 2 years. Terms showing that the visit was due to LARI were searched using an algorithm based on hard rules. Another dataset including 800 visits was used to adjust the algorithm and, finally, its performance was tested in a third dataset of 800 queries corresponding to the entire year 2018., Results: In the validation set, our tool identified LARI with sensitivity 88.24%, specificity 97.5%, PPV 86.07% and NPV 97.93%., Conclusion: Our search algorithm allows us to identify with acceptable precision the outpatient visits related to LARI in children under 2 years of age from electronic clinical records., (Universidad Nacional de Córdoba)

Objective: to evaluate the impact of air pollution and weather changes on the number of visits to a pediatric emergency department in Buenos Aires, Argentina., Materials and Methods: we designed an ecological time-series study using generalized additive models (GAM) for the period 2012-2014. The outcome variable was the number of daily visits to a pediatric emergency department taking into account daily consultations. The potential predictors were the average daily air pollution levels (carbon monoxide -CO-, nitrogen dioxide -NO2-, particulate matter 10 microns or less in diameter -PM10-) and weather variables (temperature, humidity, wind speed and direction, and rainfall) and we controlled by weekday and long-time trend., Results: the number of visits during the winter months (286 daily) was significantly higher than those in the other seasons (p <0.0001). The change in air pollution levels did not show a significant and consistent correlation with the visits. Temperature, relative humidity, rainfall, and wind speed and direction were not significant variables for any of the examined lags., Conclusions: Considering the population and variables of our study, air pollution does not affect the health outcomes, as does seasonal epidemics. Studies that examine other health variables are necessary to establish the impact of air pollution on children’s health in Buenos Aires.