Publications by authors named "R de Cid"
Unlabelled: Background Mental illnesses have been overlooked as a potential factor influencing antibody responses to COVID-19 vaccine. Associations between mental disorders and antibody response might vary by specific disorders, depend on the long-term course of the illness and relate to psychotropic treatment.
Methods: The association between mental illness diagnoses (mood affective disorders, anxiety disorders, other) over ten years and psychotropic drug prescription based on electronic health records with antibody levels (IgG and IgA) post COVID-19 vaccination was assessed in 939 vaccinated adults from Catalonia, Spain.
Prelithiation is a critical step in dual carbon lithium-ion capacitors (LICs) due to the lack of Li in the system, which needs to be incorporated externally to avoid electrolyte depletion. Several prelithiation techniques have been developed over the years, and recently, dilithium squarate (LiCO) has been reported as an air-stable, easy to synthesize, safe, and cost-effective prelithiation reagent for LICs. LiCO has successfully been used in a wide range of chemistries, and its integration into positive electrodes has been scaled up to roll-to-roll processing and demonstrated in multilayer pouch cells.
View Article and Find Full Text PDFBackground: Understanding genetic-metabolite associations has translational implications for informing cardiovascular risk assessment. Interrogating functional genetic variants enhances our understanding of disease pathogenesis and the development and optimization of targeted interventions.
Methods: In this study, a total of 187 plasma metabolite levels were profiled in 4974 individuals of European ancestry of the GCAT| Genomes for Life cohort.
Article Synopsis
- Mental health disorders have become a major public health issue, exacerbated by the COVID-19 pandemic, which revealed gaps in identifying and addressing at-risk populations.
- * The study developed a machine learning-based risk assessment tool to predict anxiety, depression, and self-perceived stress using data from over 9,200 individuals from Northern Spain, utilizing novel interpretative methods to enhance understanding of risk factors.
- * Results showed predictive accuracy in identifying high-risk groups, with significant factors like poor health and lack of social support, suggesting that such data-driven strategies could improve mental health interventions in future public health crises.