Publications by authors named "J Lopes Ines"

Objectives: Medication safety represents an important challenge in children. There are limited studies on medication errors in pediatric patients visiting emergency departments. To help bridge this gap, we characterized the medication errors detected in these patients, determining their severity, the stages of the medication process in which they occurred, the drugs involved, and the types and causes associated with the errors.

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Article Synopsis
  • Medication errors in pediatric patients are a significant issue, with a study in 8 Spanish emergency departments identifying 218 errors from nearly 100,000 visits, primarily affecting preschoolers.
  • Most errors occurred during the prescribing stage, with common types being dosing mistakes and wrong drug selection, often involving anti-infective medications.
  • Key contributing factors included knowledge deficits about medications, deviations from procedures, and lack of patient information, suggesting a need for targeted interventions to improve medication safety in children.
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This work comprises the study of solubilities of gases in ionic liquids (ILs) using a chemoinformatic approach. It is based on the codification, of the atomic inter-component interactions, cation/gas and anion/gas, which are used to obtain a pattern of activation in a Kohonen Neural Network (MOLMAP descriptors). A robust predictive model has been obtained with the Random Forest algorithm and used the maximum proximity as a confidence measure of a given chemical system compared to the training set.

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The increasing application of new ionic liquids (IL) creates the need of liquid-liquid equilibria data for both miscible and quasi-immiscible systems. In this study, equilibrium concentrations at different temperatures for ionic liquid+water two-phase systems were modeled using a Quantitative-Structure-Property Relationship (QSPR) method. Data on equilibrium concentrations were taken from the ILThermo Ionic Liquids database, curated and used to make models that predict the weight fraction of water in ionic liquid rich phase and ionic liquid in the aqueous phase as two separate properties.

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