Long-term care units: a Portuguese study about the functional profile.

Aim: In this study, we analyze the relationship between the functional profile of older people admitted to long-term care units in Portugal and some demographic variables such as education level, sex, and age as well as the emotional state of mind. Methods: A sample of 59,516 older people from the National Network of Integrated Continuous Care of Portugal were analyzed in this longitudinal study. All the retrospective data of the older people were collected during the period of hospitalization at the long-term care units. The database records of these units were analyzed, and a functional profile spanning the period of hospitalization was calculated. Results: Activities of daily living and cognitive states improved, in the first 90 days of hospitalization, while mobility and instrumental activities of daily living worsened for the same period of 90 days. Generally, there was a decline in all domains after 450 days of hospitalization. The older women that did not attend school, those over 85 years old, and those who suffered from anxiety were pre-dominantly placed in the group of those with greater dependence (severe/complete dependence). Conclusion: The participants hospitalized between 90 and 360 days presented the best results in the long-term care units of the National Network of Integrated Continuous Care of Portugal. With this study, we highlight the importance of evaluating the functional status of persons in long-term hospitalizations and the influence exerted by the level of education on the recovery and rehabilitation of dependence.

From Plant Survival Under Severe Stress to Anti-Viral Human Defense - A Perspective That Calls for Common Efforts.

Reprogramming of primary virus-infected cells is the critical step that turns viral attacks harmful to humans by initiating super-spreading at cell, organism and population levels. To develop early anti-viral therapies and proactive administration, it is important to understand the very first steps of this process. Plant somatic embryogenesis (SE) is the earliest and most studied model for de novo programming upon severe stress that, in contrast to virus attacks, promotes individual cell and organism survival. We argued that transcript level profiles of target genes established from in vitro SE induction as reference compared to virus-induced profiles can identify differential virus traits that link to harmful reprogramming. To validate this hypothesis, we selected a standard set of genes named 'ReprogVirus'. This approach was recently applied and published. It resulted in identifying 'CoV-MAC-TED', a complex trait that is promising to support combating SARS-CoV-2-induced cell reprogramming in primary infected nose and mouth cells. In this perspective, we aim to explain the rationale of our scientific approach. We are highlighting relevant background knowledge on SE, emphasize the role of alternative oxidase in plant reprogramming and resilience as a learning tool for designing human virus-defense strategies and, present the list of selected genes. As an outlook, we announce wider data collection in a 'ReprogVirus Platform' to support anti-viral strategy design through common efforts.

Processing medical reports to automatically populate ontologies.

Medical reports are, quite often, written and stored in computer systems in a non-structured free text form. As a consequence, the information contained in these reports is not easily available and it is not possible to take it into account by medical decision support systems. We propose a methodology to automatically process and analyze medical reports, identifying concepts and their instances, and populating a new ontology. This methodology is based in natural language processing techniques using linguistic and statistical information. The proposed system was applied successfully to a set of medical reports from the Veterinary Hospital of the University of Évora.