[An algorithm for identifying visits due to pediatric lower acute respiratory infections in electronic clinical records].

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).

Comparison of the risk of microbiological contamination between samples of breast milk obtained at home and at a healthcare facility.

Introduction: Breast milk is the best food for preterm infants. Due to their inadequate suction- swallowing action, the administration of expressed breast milk should be done with an orogastric tube. There is little information available regarding the microbiological safety of expressed breast milk.