27 research outputs found

    Programa de Atención al Ictus en Aragón (PAIA). Estrategia del cambio y resultados en el periodo 2009-2014

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    Introducción En 2008, Aragón tenía tasas de morbimortalidad y discapacidad por ictus superiores a las del conjunto de España. Se estableció la necesidad de desarrollar un Programa de Atención al Ictus (PAIA). Material y métodos Damos a conocer la dinámica de planificación, implantación, evaluación y mejora que se ha desarrollado entre los años 2009-2014 y sus resultados a 5 años. Resultados Se ha mejorado en la estructura, en los procesos y en los resultados, con mejoría en los indicadores clave de la asistencia (audit 2008-2010-2012) y otros: tasa ictus 2013: 2, 07 (2008: 2, 36); 78% ictus atendidos en áreas/unidades en 2014 (30%, 2008); tasa fibrinólisis 8, 3% en 2014 (4, 4%, 2010); fibrinólisis hospitales secundarios (30% total); fibrinólisis con teleictus 9%; descenso de la mortalidad por ictus, 38%; años de vida prematura perdidos 67, 7 (2013)/144 (2008); capacitación de enfermería, desarrollo de la neurosonología, trabajo en red, con protocolos y buenas prácticas compartidos entre sectores sanitarios, etc. Conclusiones La gestión por procesos y equipos multidisciplinares desplegados en una distribución territorial integral, con protocolos y referencias establecidas y una dinámica de evaluación y mejora continua, ha demostrado ser una herramienta potente para garantizar la calidad y la equidad. El PAIA, por su dinámica de mejora sostenida y la implicación de los clínicos, es un buen ejemplo de gestión clínica y trabajo en red. Introduction: In 2008, stroke mortality, morbidity, and disability rates in Aragon were higher than the average in Spain. These data underscored the need to develop a stroke care programme (PAIA). Material and methods: We present the dynamics of planning, implementation, evaluation, and improvement developed between 2009 and 2014 as well as the results of the PAIA after that 5-year period. Results: Structure, processes, and outcomes have improved with reference to the key indicators of healthcare (audit: 2008, 2010, 2012) among others: stroke rate in 2013 was 2.07 (2.36 in 2008); 78% of strokes were managed in stroke units in 2014 (30% in 2008); rate of fibrinolysis was 8.3% in 2014 (4.4% in 2010); fibrinolysis was administered in secondary hospitals (30% of the total); fibrinolysis was administered by Telestroke in 9%; stroke mortality decreased (38%); 67.7 years of potential life lost (YPLL) in 2013 (144 in 2008); nurse training; development of neurosonology; networking; sharing protocols and best practices between health sectors, etc. Conclusions: Integrated process management and multidisciplinary teams distributed and deployed over an entire territory with established protocols, references, evaluations, and continuous development, have been proven powerful tools to ensure both quality and equality. The PAIA is a good example of clinical governance and networking due to its dynamic and sustained improvement and cooperation between clinicians

    Multiple myeloma and SARS-CoV-2 infection : clinical characteristics and prognostic factors of inpatient mortality

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    There is limited information on the characteristics, prognostic factors, and outcomes of patients with multiple myeloma (MM) hospitalized with COVID-19. This retrospective case series investigated 167 patients reported from 73 hospitals within the Spanish Myeloma Collaborative Group network in March and April, 2020. Outcomes were compared with 167 randomly selected, contemporary, age-/sex-matched noncancer patients with COVID-19 admitted at six participating hospitals. Among MM and noncancer patients, median age was 71 years, and 57% of patients were male; 75 and 77% of patients, respectively, had at least one comorbidity. COVID-19 clinical severity was moderate-severe in 77 and 89% of patients and critical in 8 and 4%, respectively. Supplemental oxygen was required by 47 and 55% of MM and noncancer patients, respectively, and 21%/9% vs 8%/6% required noninvasive/invasive ventilation. Inpatient mortality was 34 and 23% in MM and noncancer patients, respectively. Among MM patients, inpatient mortality was 41% in males, 42% in patients aged >65 years, 49% in patients with active/progressive MM at hospitalization, and 59% in patients with comorbid renal disease at hospitalization, which were independent prognostic factors on adjusted multivariate analysis. This case series demonstrates the increased risk and identifies predictors of inpatient mortality among MM patients hospitalized with COVID-19

    Cut-offs and response criteria for the Hospital Universitario la Princesa Index (HUPI) and their comparison to widely-used indices of disease activity in rheumatoid arthritis

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    Objective To estimate cut-off points and to establish response criteria for the Hospital Universitario La Princesa Index (HUPI) in patients with chronic polyarthritis. Methods Two cohorts, one of early arthritis (Princesa Early Arthritis Register Longitudinal PEARL] study) and other of long-term rheumatoid arthritis (Estudio de la Morbilidad y Expresión Clínica de la Artritis Reumatoide EMECAR]) including altogether 1200 patients were used to determine cut-off values for remission, and for low, moderate and high activity through receiver operating curve (ROC) analysis. The areas under ROC (AUC) were compared to those of validated indexes (SDAI, CDAI, DAS28). ROC analysis was also applied to establish minimal and relevant clinical improvement for HUPI. Results The best cut-off points for HUPI are 2, 5 and 9, classifying RA activity as remission if =2, low disease activity if >2 and =5), moderate if >5 and <9 and high if =9. HUPI''s AUC to discriminate between low-moderate activity was 0.909 and between moderate-high activity 0.887. DAS28''s AUCs were 0.887 and 0.846, respectively; both indices had higher accuracy than SDAI (AUCs: 0.832 and 0.756) and CDAI (AUCs: 0.789 and 0.728). HUPI discriminates remission better than DAS28-ESR in early arthritis, but similarly to SDAI. The HUPI cut-off for minimal clinical improvement was established at 2 and for relevant clinical improvement at 4. Response criteria were established based on these cut-off values. Conclusions The cut-offs proposed for HUPI perform adequately in patients with either early or long term arthritis

    Multiple myeloma and SARS-CoV-2 infection: clinical characteristics and prognostic factors of inpatient mortality

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    There is limited information on the characteristics, prognostic factors, and outcomes of patients with multiple myeloma (MM) hospitalized with COVID-19. This retrospective case series investigated 167 patients reported from 73 hospitals within the Spanish Myeloma Collaborative Group network in March and April, 2020. Outcomes were compared with 167 randomly selected, contemporary, age-/sex-matched noncancer patients with COVID-19 admitted at six participating hospitals. Among MM and noncancer patients, median age was 71 years, and 57% of patients were male; 75 and 77% of patients, respectively, had at least one comorbidity. COVID-19 clinical severity was moderate–severe in 77 and 89% of patients and critical in 8 and 4%, respectively. Supplemental oxygen was required by 47 and 55% of MM and noncancer patients, respectively, and 21%/9% vs 8%/6% required noninvasive/invasive ventilation. Inpatient mortality was 34 and 23% in MM and noncancer patients, respectively. Among MM patients, inpatient mortality was 41% in males, 42% in patients aged >65 years, 49% in patients with active/progressive MM at hospitalization, and 59% in patients with comorbid renal disease at hospitalization, which were independent prognostic factors on adjusted multivariate analysis. This case series demonstrates the increased risk and identifies predictors of inpatient mortality among MM patients hospitalized with COVID-19

    CIBERER : Spanish national network for research on rare diseases: A highly productive collaborative initiative

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    Altres ajuts: Instituto de Salud Carlos III (ISCIII); Ministerio de Ciencia e Innovación.CIBER (Center for Biomedical Network Research; Centro de Investigación Biomédica En Red) is a public national consortium created in 2006 under the umbrella of the Spanish National Institute of Health Carlos III (ISCIII). This innovative research structure comprises 11 different specific areas dedicated to the main public health priorities in the National Health System. CIBERER, the thematic area of CIBER focused on rare diseases (RDs) currently consists of 75 research groups belonging to universities, research centers, and hospitals of the entire country. CIBERER's mission is to be a center prioritizing and favoring collaboration and cooperation between biomedical and clinical research groups, with special emphasis on the aspects of genetic, molecular, biochemical, and cellular research of RDs. This research is the basis for providing new tools for the diagnosis and therapy of low-prevalence diseases, in line with the International Rare Diseases Research Consortium (IRDiRC) objectives, thus favoring translational research between the scientific environment of the laboratory and the clinical setting of health centers. In this article, we intend to review CIBERER's 15-year journey and summarize the main results obtained in terms of internationalization, scientific production, contributions toward the discovery of new therapies and novel genes associated to diseases, cooperation with patients' associations and many other topics related to RD research

    Plasma lipid profiles discriminate bacterial from viral infection in febrile children

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    Fever is the most common reason that children present to Emergency Departments. Clinical signs and symptoms suggestive of bacterial infection ar
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