Conjunto mínimo de datos: su utilidad en cirugía / Mínimum data set and it utility in surgery

Resumen Los sistemas de información sanitaria son fundamentales para el conocimiento y análisis del estado de salud individual y colectivo, así como para la evaluación de las funciones de los sistemas de salud; basados en el desarrollo de las historias clínicas, los expedientes clínicos permiten el acceso a dicha información. El Conjunto Mínimo de Datos (CMD), es un conjunto esencial de elementos potencialmente disponibles sobre entidades específicas, constituye un extracto de información administrativa, clínica y quirúrgica estandarizados, recogidos a partir del informe de alta o la historia clínica, siendo un paso preliminar en la gestión de información sobre enfermedades, que se traduce en la mejora de la calidad de la atención y el control de las enfermedades, así como en la posibilidad para emprender investigaciones. El objetivo de este manuscrito fue generar un documento de estudio referente al uso del CMD en cirugía, que consideró los mecanismos de aplicación, sus fortalezas y debilidades.

Health information systems are fundamental for the knowledge and analysis of the individual and collective health status, as well as for the evaluation of the functions of the health systems, based on the development of medical records, that allow access to information. The Minimum Data Set (CMD), is an essential set of elements potentially available on specific entities, constitutes an extract of standardized administrative, clinical, and surgical information, collected from the discharge report or the clinical history, being a preliminary step in disease information management that translates into improved quality of care and disease control, as well as the ability to undertake research. The aim of this manuscript was to generate a study document regarding the use of CMD in surgery, which considered the application mechanisms, as well as its strengths and weaknesses.

Metabolomics applied to maternal and perinatal health: a review of new frontiers with a translation potential

The prediction or early diagnosis of maternal complications is challenging mostly because the main conditions, such as preeclampsia, preterm birth, fetal growth restriction, and gestational diabetes mellitus, are complex syndromes with multiple underlying mechanisms related to their occurrence. Limited advances in maternal and perinatal health in recent decades with respect to preventing these disorders have led to new approaches, and "omics" sciences have emerged as a potential field to be explored. Metabolomics is the study of a set of metabolites in a given sample and can represent the metabolic functioning of a cell, tissue or organism. Metabolomics has some advantages over genomics, transcriptomics, and proteomics, as metabolites are the final result of the interactions of genes, RNAs and proteins. Considering the recent "boom" in metabolomic studies and their importance in the research agenda, we here review the topic, explaining the rationale and theory of the metabolomic approach in different areas of maternal and perinatal health research for clinical practitioners. We also demonstrate the main exploratory studies of these maternal complications, commenting on their promising findings. The potential translational application of metabolomic studies, especially for the identification of predictive biomarkers, is supported by the current findings, although they require external validation in larger datasets and with alternative methodologies.