Characterization of white matter hyperintensities in Down syndrome.

Introduction: In Down syndrome (DS), white matter hyperintensities (WMHs) are highly prevalent, yet their topography and association with sociodemographic data and Alzheimer's disease (AD) biomarkers remain largely unexplored.

Methods: In 261 DS adults and 131 euploid controls, fluid-attenuated inversion recovery magnetic resonance imaging scans were segmented and WMHs were extracted in concentric white matter layers and lobar regions. We tested associations with AD clinical stages, sociodemographic data, cerebrospinal fluid (CSF) AD biomarkers, and gray matter (GM) volume.

Cognitive-enhanced eHealth psychosocial stepped intervention for managing breast cancer-related cognitive impairment: Protocol for a randomized controlled trial.

Introduction: Breast cancer often leads to cancer-related cognitive impairment (CRCI), which includes both objective and subjective cognitive deficits. While psychosocial interventions benefit quality of life and distress reduction, their impact on cognitive deficits is uncertain. This study evaluates the integration of a cognitive module into a digital psychosocial intervention for breast cancer patients.

Size Gynomimicry in the Sanmartinero Creole Bovine of the Colombian Orinoquia.

Variations in the size of animals of the same species but of different sex are called sexual size dimorphism. The aim of this study was to compare the biometrics between males and females of the Sanmartinero creole bovine, of Colombia, to establish if sexual dimorphism appears in the breed. A total of 94 animals (16 uncastrated males and 78 females, average age of 4.

The evolving contribution of MRI measures towards the prediction of secondary progressive multiple sclerosis.

Background: In multiple sclerosis (MS), both lesion accrual and brain atrophy predict clinical outcomes. However, it is unclear whether these prognostic features are equally relevant throughout the course of MS. Among 103 participants recruited following a clinically isolated syndrome (CIS) and followed up over 30 years, we explored (1) whether white matter lesions were prognostically more relevant earlier and brain atrophy later in the disease course towards development of secondary progressive (SP) disease; (2) if so, when the balance in prognostic contribution shifts and (3) whether optimised prognostic models predicting SP disease should include different features dependent on disease duration.

Long COVID: cognitive, balance, and retina manifestations.

Background: The neurological symptoms of Long COVID (LC) and the impact of neuropsychological manifestations on people's daily lives have been extensively described. Although a large body of literature describes symptoms, validating this with objective measures is important. This study aims to identify and describe the effects of Long COVID on cognition, balance, and the retinal fundus, and determine whether the duration of symptoms influences cognitive impairment.

Written narratives to understand the experience of individuals living with fibromyalgia.

Purpose: To explore the experiences of individuals with fibromyalgia (FM) through written narratives (WN) and to preliminarily investigate the potential value of these narratives for healthcare professionals in assessing the overall perceived severity and disability experienced by individuals with FM.

Materials And Methods: This cross-sectional study was conducted with 46 participants with a FM diagnosis. They were asked to complete a WN task that aimed to capture their personal experiences.

Psychometric examination of the Multidimensional Psychological Flexibility Inventory Short Form (MPFI-24) and the Psy-Flex Spanish versions in individuals with chronic pain.

Background: Acceptance and Commitment Therapy (ACT) has been found to be beneficial for individuals dealing with chronic pain. The theoretical mechanisms of change proposed by ACT are based on the Hexaflex model. To comprehensively reflect this model, the Multidimensional Psychological Flexibility Inventory (MPFI) and Psy-Flex have been developed.

How is tailored implementation undertaken using a self-guided toolkit? Qualitative study of the ItFits-toolkit in the ImpleMentAll project.

Background: The process of tailored implementation is ill-defined and under-explored. The ItFits-toolkit was developed and subsequently tested as a self-guided online platform to facilitate implementation of tailored strategies for internet-based cognitive behavioural therapy (iCBT) services. In ImpleMentAll, ItFits-toolkit had a small but positive effect on the primary outcome of iCBT normalisation.

Community health action and COVID-19 in Barcelona neighbourhoods: responses and challenges.

The COVID-19 pandemic exacerbated pre-existing social, economic and political inequalities. The evidence describes the use of community engagement approaches to support appropriate COVID-19 prevention and control measures. We aimed to delve deeper into the community response to COVID-19 in Barcelona neighbourhoods with different pre-existing levels of development of community health action (CHA).

Determinants of tobacco use transitions in smoker nursing students in Catalonia: A prospective longitudinal study.

Introduction: The use of emerging tobacco and nicotine products affects tobacco use behaviors among college students. Thus, we aimed to examine transitions in tobacco use patterns and identify their predictors among smokers in a cohort of nursing students in Catalonia (Spain).

Methods: We conducted a prospective longitudinal study of Catalan nursing students between 2015-2016 and 2018-2019.

Knowledge sharing in virtual communities of practice of family caregivers of people with Alzheimer's.

Introduction: Knowledge sharing can only happen in the context of a trusting and supportive environment, such as evolves in communities of practice and their virtual equivalent, virtual communities of practice. The main objective of this study was to understand knowledge sharing between participants in a virtual community of practice of caregivers of people with Alzheimer's.

Methods: The authors designed their own mobile application, and two virtual communities of practice were created independently and differentiated by how they were moderated: one by an expert caregiver and the other by three health professionals.

Toward Sustainable Adoption of Integrated Care for Prevention of Unplanned Hospitalizations: A Qualitative Analysis.

Introduction: Complex chronic patients are prone to unplanned hospitalizations leading to a high burden on healthcare systems. To date, interventions to prevent unplanned admissions show inconclusive results. We report a qualitative analysis performed into the EU initiative JADECARE (2020-2023) to design a digitally enabled integrated care program aiming at preventing unplanned hospitalizations.

Artificial Intelligence and Multiple Sclerosis.

In this paper, we analyse the different advances in artificial intelligence (AI) approaches in multiple sclerosis (MS). AI applications in MS range across investigation of disease pathogenesis, diagnosis, treatment, and prognosis. A subset of AI, Machine learning (ML) models analyse various data sources, including magnetic resonance imaging (MRI), genetic, and clinical data, to distinguish MS from other conditions, predict disease progression, and personalize treatment strategies.

A second generation of senotherapies: the development of targeted senolytics, senoblockers and senoreversers for healthy ageing.

Cellular senescence, a form of terminal cell cycle arrest, is as a key driver of organismal ageing and an important factor in age-related diseases. Insights into the senescent phenotype have led to the development of novel therapeutic strategies, collectively known as senotherapies, that aim to ameliorate the detrimental effects of senescent cell accumulation in tissues. The senotherapeutic field has rapidly evolved over the past decade, with clinical translation of the first drugs discovered currently underway.

Validation of the Spanish version of the multifaceted empathy test: comparison between cannabis use effects and controls in social cognition.

Objective: While social cognition is shown to be impaired in several mental disorders, the effects of cannabis on social cognition are still not clear. Past studies have used the multifaceted empathy test (MET) to study social cognition. This study aims to test the validity of the MET Spanish version and to evaluate the effects of cannabis use on social cognition.

Finding the limits of deep learning clinical sensitivity with fractional anisotropy (FA) microstructure maps.

Background: Quantitative maps obtained with diffusion weighted (DW) imaging, such as fractional anisotropy (FA) -calculated by fitting the diffusion tensor (DT) model to the data,-are very useful to study neurological diseases. To fit this map accurately, acquisition times of the order of several minutes are needed because many noncollinear DW volumes must be acquired to reduce directional biases. Deep learning (DL) can be used to reduce acquisition times by reducing the number of DW volumes.

Nutritional Quality of the Mid-Afternoon Snack of Schooled Children between the Ages of 3 and 12 Years in Three Areas in Spain.

Background: The aim of this study was to analyze the nutritional quality of mid-afternoon snacks for schooled children aged 3 to 12 years in three areas of Catalonia (Spain).

Methods: A descriptive observational study collected information on habits and the mid-afternoon snack of 782 schooled children aged 3 to 12 years in three cities, Barcelona, Girona, and Lleida, located in Catalonia (Spain). The children's families voluntarily agreed to complete an online questionnaire that collected information about demographic data and snacking habits in the afternoon, as well as a record of mid-afternoon snack intake over three school days.

Retrospective analysis of hospitalization costs using two payment systems: the diagnosis related groups (DRG) and the Queralt system, a newly developed case-mix tool for hospitalized patients.

Background: Hospital services are typically reimbursed using case-mix tools that group patients according to diagnoses and procedures. We recently developed a case-mix tool (i.e.

The Use of Artificial Intelligence for Skin Disease Diagnosis in Primary Care Settings: A Systematic Review.

The prevalence of dermatological conditions in primary care, coupled with challenges such as dermatologist shortages and rising consultation costs, highlights the need for innovative solutions. Artificial intelligence (AI) holds promise for improving the diagnostic analysis of skin lesion images, potentially enhancing patient care in primary settings. This systematic review following PRISMA guidelines examined primary studies (2012-2022) assessing AI algorithms' diagnostic accuracy for skin diseases in primary care.

Multicentric Assessment of a Multimorbidity-Adjusted Disability Score to Stratify Depression-Related Risks Using Temporal Disease Maps: Instrument Validation Study.

Background: Comprehensive management of multimorbidity can significantly benefit from advanced health risk assessment tools that facilitate value-based interventions, allowing for the assessment and prediction of disease progression. Our study proposes a novel methodology, the Multimorbidity-Adjusted Disability Score (MADS), which integrates disease trajectory methodologies with advanced techniques for assessing interdependencies among concurrent diseases. This approach is designed to better assess the clinical burden of clusters of interrelated diseases and enhance our ability to anticipate disease progression, thereby potentially informing targeted preventive care interventions.

Narrating Loneliness: Isolation, Disaffection, and the Contemporary Novel.

This article focuses on the ways in which narrative accounts of loneliness in literature problematize current definitions of this important and yet underexplored determinant of health. I argue that the prevailing conceptualization of loneliness in health research, with a general emphasis on social prescribing, obscures other dimensions of loneliness beyond social connectedness that also need to be accounted for in its definition. Drawing on narrative approaches to health and care and taking as a case study Santiago Lorenzo's Spanish novel Los asquerosos (2018), the article gestures toward a more political-rather than exclusively subjective and relational-reading of loneliness.

[Drowning mortality in Catalonia (2019-2022)].

Objective: Data on drownings tend to underestimate mortality from this cause. The objective of this study was to describe fatal drownings recorded in Catalonia between 2019 and 2022 through forensic sources, present their characteristics, and assess the utility of this information for monitoring drowning mortality.

Methods: A retrospective observational study based on the register of judicial deaths from the Institute of Legal Medicine and Forensic Sciences of Catalonia was carried out.