¿Cuál es la actitud de los médicos hacia el actual modelo de atención primaria?

ObjetivoDeterminar cómo es la actitud de los médicos hacia el actual modelo de atención primaria de salud y estimar su relación con variables de tipo sociodemográfico y/o laboral.DiseñoEstudio multicéntrico, transversal.EmplazamientoCentros de salud del Área II de la Región de Murcia.ParticipantesTotalidad de médicos generales, de familia y pediatras de los centros de salud mencionados (54 en total).Mediciones principalesComo instrumento de evaluación se utiliza la «Escala de actitudes hacia los contenidos de atención primaria de salud», de Ballesteros et al. Esta escala proporciona una puntuación total, así como una puntuación específica para cada una de las 7 dimensiones que la componen.ResultadosEn general, la actitud de los médicos es favorable (4,1 puntos de media sobre 5). En la dimensión «Inclusión de los profesionales del segundo nivel en atención primaria» es donde hemos encontrado una actitud menos favorable, siendo los médicos de familia los que se muestran más de acuerdo. En cuanto a las demás variables asociadas, los profesionales que trabajan en centros periféricos y en situación de interinidad muestran una actitud más positiva hacia el actual modelo.ConclusionesEl conocimiento de las actitudes de los profesionales, así como de las variables relacionadas, puede servir de base para diseñar posibles estrategias de intervención dirigidas a la mejora de la calidad asistencial en atención primaria y para una evolución positiva de los profesionales que prestan sus servicios.ObjectivesTo determine the attitude of doctors towards the current model of primary care and to calculate its relationship with social and demographic and/or work variables.DesignMulti-centre cross-sectional study.SettingHealth centres in Area II of the Murcia region.ParticipantsAll general practitioners, family doctors and paediatricians in the health centres mentioned (54 in all).Main measurementsThe «Scale of attitudes towards the contents of primary health care» by Ballesteros et al. was used as the tool of evaluation. This scale provides both a total score and a specific score for each of its 7 dimensions.ResultsIn general, doctors´ attitudes were favourable (4.1 points average out of 5). We found a less favourable attitude in the dimension «Inclusion of second-level professionals in primary care», with family doctors most in agreement. The professionals working in centres on the periphery and those without tenure had a more positive attitude towards the current model, for the remaining variables.ConclusionsUnderstanding professionals´ attitudes and the variables related to them may serve as a basis for designing intervention strategies aimed at improving the quality of primary care and for the positive evolution of professionals working in PC

An EBSD study of the deformation of service-aged 316 austenitic steel

Electron backscatter diffraction (EBSD) has been used to examine the plastic deformation of an ex-service 316 austenitic stainless steel at 297K and 823K (24 °C and 550 °C)at strain rates 3.5x10-3 to 4 x 10-7 s-1. The distribution of local misorientations was found to depend on the imposed plastic strain following a lognormal distribution at true strains 0.1. At 823 K (550 °C), the distribution of misorientations depended on the applied strain rate. The evolution of lattice misorientations with increasing plastic strain up to 0.23 was quantified using the metrics kernel average misorientation, average intragrain misorientation, and low angle misorientation fraction. For strain rate down to 10-5 s-1 all metrics were insensitive to deformation temperature, mode (tension vs. compression) and orientation of the measurement plane. The strain sensitivity of the different metrics was found to depend on the misorientation ranges considered in their calculation. A simple new metric, proportion of undeformed grains, is proposed for assessing strain in both aged and unaged material. Lattice misorientations build up with strain faster in aged steel than in un-aged material and most of the metrics were sensitive to the effects of thermal aging. Ignoring aging effects leads to significant overestimation of the strains around welds. The EBSD results were compared with nanohardness measurements and good agreement established between the two techniques of assessing plastic strain in aged 316 steel

Gaia Early Data Release 3: The celestial reference frame (Gaia-CRF3)

Context. Gaia-CRF3 is the celestial reference frame for positions and proper motions in the third release of data from the Gaia mission, Gaia DR3 (and for the early third release, Gaia EDR3, which contains identical astrometric results). The reference frame is defined by the positions and proper motions at epoch 2016.0 for a specific set of extragalactic sources in the (E)DR3 catalogue. Aims. We describe the construction of Gaia-CRF3 and its properties in terms of the distributions in magnitude, colour, and astrometric quality. Methods. Compact extragalactic sources in Gaia DR3 were identified by positional cross-matching with 17 external catalogues of quasi-stellar objects (QSO) and active galactic nuclei (AGN), followed by astrometric filtering designed to remove stellar contaminants. Selecting a clean sample was favoured over including a higher number of extragalactic sources. For the final sample, the random and systematic errors in the proper motions are analysed, as well as the radio-optical offsets in position for sources in the third realisation of the International Celestial Reference Frame (ICRF3). Results. Gaia-CRF3 comprises about 1.6 million QSO-like sources, of which 1.2 million have five-parameter astrometric solutions in Gaia DR3 and 0.4 million have six-parameter solutions. The sources span the magnitude range G = 13-21 with a peak density at 20.6 mag, at which the typical positional uncertainty is about 1 mas. The proper motions show systematic errors on the level of 12 μas yr-1 on angular scales greater than 15 deg. For the 3142 optical counterparts of ICRF3 sources in the S/X frequency bands, the median offset from the radio positions is about 0.5 mas, but it exceeds 4 mas in either coordinate for 127 sources. We outline the future of Gaia-CRF in the next Gaia data releases. Appendices give further details on the external catalogues used, how to extract information about the Gaia-CRF3 sources, potential (Galactic) confusion sources, and the estimation of the spin and orientation of an astrometric solution

Correction: MLKL promotes cellular differentiation in myeloid leukemia by facilitating the release of G-CSF (Cell Death & Differentiation, (2021), 10.1038/s41418-021-00811-1).

The original version of this article unfortunately contained a mistake in an author name. Dr. Ritu Mishra was misspelled as “Misra”. The authors apologize for the mistake. The original article has been corrected

MLKL promotes cellular differentiation in myeloid leukemia by facilitating the release of G-CSF.

The blockade of cellular differentiation represents a hallmark of acute myeloid leukemia (AML), which is largely attributed to the dysfunction of lineage-specific transcription factors controlling cellular differentiation. However, alternative mechanisms of cellular differentiation programs in AML remain largely unexplored. Here we report that mixed lineage kinase domain-like protein (MLKL) contributes to the cellular differentiation of transformed hematopoietic progenitor cells in AML. Using gene-targeted mice, we show that MLKL facilitates the release of granulocyte colony-stimulating factor (G-CSF) by controlling membrane permeabilization in leukemic cells. Mlkl-/- hematopoietic stem and progenitor cells released reduced amounts of G-CSF while retaining their capacity for CSF3 (G-CSF) mRNA expression, G-CSF protein translation, and G-CSF receptor signaling. MLKL associates with early endosomes and controls G-CSF release from intracellular storage by plasma membrane pore formation, whereas cell death remained unaffected by loss of MLKL. Of note, MLKL expression was significantly reduced in AML patients, specifically in those with a poor-risk AML subtype. Our data provide evidence that MLKL controls myeloid differentiation in AML by controlling the release of G-CSF from leukemic progenitor cells

HIF2α is a direct regulator of neutrophil motility.

Orchestrated recruitment of neutrophils to inflamed tissue is essential during initiation of inflammation. Inflamed areas are usually hypoxic, and adaptation to reduced oxygen pressure is typically mediated by hypoxia pathway proteins. However, it is still unclear how these factors influence the migration of neutrophils to and at the site of inflammation either during their transmigration through the blood-endothelial cell barrier, or their motility in the interstitial space. Here, we reveal that activation of the Hypoxia Inducible Factor-2 (HIF2α) due to deficiency of HIF-prolyl hydroxylase domain protein-2 (PHD2) boosts neutrophil migration specifically through highly confined microenvironments. In vivo, the increased migratory capacity of PHD2-deficient neutrophils resulted in massive tissue accumulation in models of acute local inflammation. Using systematic RNAseq analyses and mechanistic approaches, we identified RhoA, a cytoskeleton organizer, as the central downstream factor that mediates HIF2α-dependent neutrophil motility. Thus, we propose that the here identified novel PHD2-HIF2α-RhoA axis is vital to the initial stages of inflammation as it promotes neutrophil movement through highly confined tissue landscapes

Recommendations to standardize preanalytical confounding factors in Alzheimers and Parkinsons disease cerebrospinal fluid biomarkers: An update

Early diagnosis of neurodegenerative disorders such as Alzheimers (AD) or Parkinsons disease (PD) is needed to slow down or halt the disease at the earliest stage. Cerebrospinal fluid (CSF) biomarkers can be a good tool for early diagnosis. However, their use in clinical practice is challenging due to the high variability found between centers in the concentrations of both AD CSF biomarkers (A42, total tau and phosphorylated tau) and PD CSF biomarker (α-synuclein). Such a variability has been partially attributed to different preanalytical procedures between laboratories, thus highlighting the need to establish standardized operating procedures. Here, we merge two previous consensus guidelines for preanalytical confounding factors in order to achieve one exhaustive guideline updated with new evidence for A42, total tau and phosphorylated tau, and α-synuclein. The proposed standardized operating procedures are applicable not only to novel CSF biomarkers in AD and PD, but also to biomarkers for other neurodegenerative disorders. © 2012 Future Medicine Ltd