Osteodistrofias en el perro y en el gato : diagnóstico diferencial

El presente trabajo intenta hacer un protocolo del diagnóstico de las osteodistrofias según las diferentes publicaciones revisadas, así como por la propia experiencia de los autores.In this present work I am traying to do a protocol of the diagnosis of the osteodistrophies according to the different revised publications as well as the personal experience of the authors

Rotura traumática del colédoco

En el presente trabajo se describe un caso de rotura traumática del conducto colédoco, su diagnóstico, así como su tratamiento y evolución.The authours present in this article a case about a traumatic fracture of choledoco; diagnosis, treatment and evolution

Colapso traqueal

El presente trabajo ha sido realizado con una revisión de 14 perros afectados con distintos grados de colapso traqueal, diagnosticados con radiografías. También se hace un estudio diferencial de otros estados patológicos que podrían confundirse.This work has been make with a revision of 14 affected dogs wíth differents degrees of tracheal collapse, diagnosed with X-ray. Also on makes a different study about others pathologicals states that can be motive of confusion

Prognostic Factors for Postoperative Chronic Pain after Knee or Hip Replacement in Patients with Knee or Hip Osteoarthritis: An Umbrella Review

Knee and hip osteoarthritis are highly prevalent in the older population. Management of osteoarthritis-related pain includes conservative or surgical treatment. Although knee or hip joint replacement is associated with positive outcomes, up to 30% of patients report postoperative pain in the first two years. This study aimed to synthesize current evidence on prognostic factors for predicting postoperative pain after knee or hip replacement. An umbrella review of systematic reviews was conducted to summarize the magnitude and quality of the evidence for prognostic preoperative factors predictive of postoperative chronic pain (&gt;6 months after surgery) in patients who had received knee or hip replacement. Searches were conducted in MEDLINE, CINAHL, PubMed, PEDro, SCOPUS, Cochrane Library, and Web of Science databases from inception up to 5 August 2022 for reviews published in the English language. A narrative synthesis, a risk of bias assessment, and an evaluation of the evidence confidence were performed. Eighteen reviews (nine on knee surgery, four on hip replacement, and seven on both hip/knee replacement) were included. From 44 potential preoperative prognostic factors, just 20 were judged as having high or moderate confidence for robust findings. Race, opioid use, preoperative function, neuropathic pain symptoms, pain catastrophizing, anxiety, other pain sites, fear of movement, social support, preoperative pain, mental health, coping strategies, central sensitization-associated symptoms, and depression had high/moderate confidence for an association with postoperative chronic pain. Some comorbidities such as heart disease, stroke, lung disease, nervous system disorders, and poor circulation had high/moderate confidence for no association with postoperative chronic pain. This review has identified multiple preoperative factors (i.e., sociodemographic, clinical, psychological, cognitive) associated with postoperative chronic pain after knee or hip replacement. These factors may be used for identifying individuals at a risk of developing postoperative chronic pain. Further research can investigate the impact of using such prognostic data on treatment decisions and patient outcomes.</p

Severe Plasmodium vivax Malaria, Brazilian Amazon

We describe a case series of 17 patients hospitalized in Manaus (western Brazilian Amazon) with PCR-confirmed Plasmodium vivax infection who were treated with chloroquine and primaquine. The major complications were jaundice and severe anemia. No in vivo chloroquine resistance was detected. These data help characterize the clinical profile of severe P. vivax malaria in Latin America

Derivation and external validation of the SIMPLICITY score as a simple immune-based risk score to predict infection in kidney transplant recipients

Existing approaches for infection risk stratification in kidney transplant recipients are suboptimal. Here, we aimed to develop and validate a weighted score integrating non-pathogen-specific immune parameters and clinical variables to predict the occurrence of post-transplant infectious complications. To this end, we retrospectively analyzed a single-center derivation cohort of 410 patients undergoing kidney transplantation in 2008-2013 in Madrid. Peripheral blood lymphocyte subpopulations, serum immunoglobulin and complement levels were measured at one-month post-transplant. The primary and secondary outcomes were overall and bacterial infection through month six. A point score was derived from a logistic regression model and prospectively applied on a validation cohort of 522 patients undergoing kidney transplantation at 16 centers throughout Spain in 2014-2015. The SIMPLICITY score consisted of the following variables measured at month one after transplantation: C3 level, CD4+ T-cell count, CD8+ T-cell count, IgG level, glomerular filtration rate, recipient age, and infection within the first month. The discrimination capacity in the derivation and validation cohorts was good for overall (areas under the receiver operating curve of 0.774 and 0.730) and bacterial infection (0.767 and 0.734, respectively). The cumulative incidence of overall infection significantly increased across risk categories in the derivation (low-risk 13.7%; intermediate-risk, 35.9%; high-risk 77.6%) and validation datasets (10.2%, 28.9% and 50.4%, respectively). Thus, the SIMPLICITY score, based on easily available immune parameters, allows for stratification of kidney transplant recipients at month one according to their expected risk of subsequent infection

A regulated deficit irrigation strategy for hedgerow olive orchards with high plant density

Background & Aims There is not a consensus on the best irrigation approach for super-high density (SHD) olive orchards. Our aim was to design and test a regulated deficit irrigation (RDI) strategy for a sustainable balance between water saving, tree vigour and oil production. Methods We tested our RDI strategy for 3 years in an ‘Arbequina’ orchard with 1,667 trees ha−1. Two levels of irrigation reduction were applied, 60RDI and 30RDI, scaled to replacing 60 % and 30 %, respectively, of the of irrigation needs (IN). We also had a full irrigation (FI) treatment as control, with IN totalling 4,701 m3 ha−1 Results The 30RDI treatment showed the best balance between water saving, tree vigour and oil production. With a yearly irrigation amount (IA) of 1,366 m3 ha−1, which meant 72 % water saving as compared to FI, the reduction in oil yield was 26 % only. Conclusions Our results, together with recent knowledge on the effect of water stress on fruit development, allowed us to suggest a potentially improved RDI strategy for which a total IA of ca. 2,100 m3 ha−1 was calculated. Both some management details and the benefits of this suggested RDI strategy are still to be tested

Minería de datos y big data: aplicaciones en riesgo crediticio, salud y análisis de mercado

Esta línea de investigación se centra en el estudio y desarrollo de Sistemas Inteligentes para la resolución de problemas de Minería de Datos y Big Data utilizando técnicas de Aprendizaje Automático. Los sistemas desarrollados se aplican particularmente al procesamiento de textos y reconocimiento de patrones en imágenes. En el área de la Minería de Datos se está trabajando, por un lado, en la generación de un modelo de fácil interpretación a partir de la extracción de reglas de clasificación que permita justificar la toma de decisiones y, por otro lado, en el desarrollo de nuevas estrategias para tratar grandes volúmenes de datos. Con respecto al área de Big Data se están realizando diversos aportes usando el framework Spark Streaming. En esta dirección, se está investigando en una técnica de clustering dinámico que se ejecuta de manera distribuida. Además se ha implementado en Spark Streaming una aplicación que calcula el índice de Hurtz de manera online, actualizándolo cada pocos segundos con el objetivo de estudiar un cierto mercado de negocios. En el área de la Minería de Textos se han desarrollado estrategias para resumir documentos a través de la extracción utilizando métricas de selección y técnicas de optimización de los párrafos más representativos. Además se han desarrollado métodos capaces de determinar la subjetividad de oraciones escritas en español.Eje temático: Bases de Datos y Minería de Datos