Developing a Prototype Machine Learning Model to Predict Quality of Life Measures in People Living With HIV.

Background: In the realm of Evidence-Based Medicine, introduced by Gordon Guyatt in the early 1990s, the integration of machine learning technologies marks a significant advancement towards more objective, evidence-driven healthcare. Evidence-Based Medicine principles focus on using the best available scientific evidence for clinical decision-making, enhancing healthcare quality and consistency by integrating this evidence with clinician expertise and patient values. Patient-Reported Outcome Measures (PROMs) and Patient-Reported Experience Measures (PREMs) have become essential in evaluating the broader impacts of treatments, especially for chronic conditions like HIV, reflecting patient health and well-being comprehensively.

Mesophyll conductance reductions due to drought stress are influenced by increases in cell wall chelator-soluble pectin content and denser microfibril alignment in cotton.

Plants commonly undergo leaf morphoanatomy and composition modifications to cope with drought stress, and these tend to reduce mesophyll conductance to CO2 diffusion (gm), a key limitation to photosynthesis. The cell wall appears to play a crucial role in this reduction, yet the specific effect of cell wall compositions on gm and the underlying regulatory mechanisms of cell wall thickness (Tcw) variation are not well understood. In this study, we subjected cotton plants to varying levels of water deficit to investigate the impact of leaf cell wall composition and the arrangement patterns of microfibrils within cell walls on Tcw and leaf gas exchange.

[Translated article] Patient-reported outcome measures for assessing atopic dermatitis in clinical practice.

Atopic dermatitis is a chronic skin condition that affects up to 20% of children and 10% of adults worldwide. Due to the high burden of dermatological signs and symptoms, atopic dermatitis has a significant impact on the quality of life of patients and their families. In the absence of objective measures to accurately assess severity and symptom burden, patient-reported outcome measures are essential to monitor the impact and progression of the disease, as well as the efficacy of treatments.

Detecting Atypical Sentinel Lymph Nodes in Early-Stage Cervical Cancer Using a Standardized Technique with a Hybrid Tracer.

Background: Since October 2018, lymph node status has become part of the FIGO staging, given that it is one of the most important prognostic factors among women with CC. The aim was to determine the rate of atypical lymphatic drainage in patients with clinical early-stage cervical cancer using a hybrid tracer (ICG-Tc nanocolloid).

Methodology: A prospective, observational, single-centre study conducted at Son Espases University Hospital between January 2019 and October 2023.

Salinity stress on three representative species from Mediterranean semifixed dunes: Assessment of salinity exposure and substrate conductivity data reveal variable response strategies and tolerance between species.

Coastal ecotones can disrupt natural conditions, yielding intricate ecological contexts where salinity plays a variable role. The aim of this study was to assess the salinity effect on three species representatives of semifixed dune (Crucianella maritima, Helianthemum caput-felis and Teucrium dunense). Field data were collected to assess plant cover in semifixed dunes, ecotone with other coastal habitats, and artificial Posidonia oceanica wracks.

Person-Centered Coordinated Care Experience of People With Long-Term Conditions in the Balearic Islands Measured by the P3CEQ.

Objective: This study aimed to use the Person-Centered Coordinated Care Experience Questionnaire (P3CEQ) to assess the experience of person-centered coordinated care among people with long-term conditions in the Balearic Islands, Spain.

Methods: Over 1300 participants receiving treatment for chronic conditions or HIV pre-exposure prophylaxis were invited to complete the P3CEQ and a socio-demographic questionnaire, both administered electronically via the Naveta app. The P3CEQ assesses the key domains of the P3C through an 11-item questionnaire.

Patient-reported outcome measures for assessing atopic dermatitis in clinical practice.

Atopic dermatitis is a chronic skin condition that affects up to 20% of children and 10% of adults worldwide. Due to the high burden of dermatological signs and symptoms, atopic dermatitis has a significant impact on the quality of life of patients and their families. In the absence of objective measures to accurately assess severity and symptom burden, patient-reported outcome measures are essential to monitor the impact and progression of the disease, as well as the efficacy of treatments.

Modelling the spatial risk of malaria through probability distribution of s.l. and imported cases.

Malaria remains one of the most important infectious diseases globally due to its high incidence and mortality rates. The influx of infected cases from endemic to non-endemic malaria regions like Europe has resulted in a public health concern over sporadic local outbreaks. This is facilitated by the continued presence of competent vectors in non-endemic countries.

The outstanding capacity of Prasiola antarctica to thrive in contrasting harsh environments relies on the constitutive protection of thylakoids and on morphological plasticity.

The determination of physiological tolerance ranges of photosynthetic species and of the biochemical mechanisms underneath are fundamental to identify target processes and metabolites that will inspire enhanced plant management and production for the future. In this context, the terrestrial green algae within the genus Prasiola represent ideal models due to their success in harsh environments (polar tundras) and their extraordinary ecological plasticity. Here we focus on the outstanding Prasiola antarctica and compare two natural populations living in very contrasting microenvironments in Antarctica: the dry sandy substrate of a beach and the rocky bed of an ephemeral freshwater stream.

Associations of Alcohol Consumption With Left Atrial Morphology and Function in a Population at High Cardiovascular Risk.

Background: Excessive alcohol consumption has been associated with increased risk of atrial fibrillation, although the underlying mechanisms remain unclear. An enlarged left atrium and impaired left atrial function may lead to atrial fibrillation. The association of alcohol consumption with structural and functional left atrial measures, however, has received limited attention.

The Natural and Clinical History of Plague: From the Ancient Pandemics to Modern Insights.

The human pathogen is responsible for bubonic, septicemic, and pneumonic plague. A deeply comprehensive overview of its historical context, bacteriological characteristics, genomic analysis based on ancient DNA (aDNA) and modern strains, and its impact on historical and actual human populations, is explored. The results from multiple studies have been synthesized to investigate the origins of plague, its transmission, and effects on different populations.