17 research outputs found

    Estado nutricional y determinantes sociales asociados en niños arhuacos menores de 5 años de edad

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    Objetivos La desinformación de la situación de las comunidades indígenas es un obstáculo para la aproximación a sus condiciones de salud, sin embargo es incuestionable el rol de la malnutriciónen su morbimortalidad. El objetivo es realizar un acercamiento a los niveles de seguridad alimentaria, identificando sus determinantes socialesy la asociación con el estado nutricional de los niños menores de 5 años.Metodologia Estudio analítico trasversal en una población arhuaca. Muestreo no probabilístico por conveniencia. La antropometría incluyópeso, talla y perímetro cefálico analizados mediante referentes OMS 2006 para el diagnóstico nutricional.Los determinantes socialesseobtuvieronmediante un instrumento adaptado de la Organización Panamericana de la Salud. Consideraciones éticas correspondientes.Resultados Se evaluaron 169 niños y se realizaron 132 encuestas. El retraso en la talla fue menos frecuente en niños menores de 6 meses (p=0,03); la desnutrición aguda fue mayor en quienes asistían primero al médico tradicional (p=0,01) y en cuyas madres no tienen escolaridad (p=0,05), esta última asociación se encontró también para obesidad (p=0,00) y en aquellos con factor de riesgo en el neurodesarrollo (p=0,00). El fenómeno de transición nutricional fue mayor en el género masculino (p=0,03), en niños con vacunacion incompleta (p=0,03) y en cuyas madres tienen 4 o menos hijos (p=0,00).Conclusiones Es imperativo generarestrategias de acciónen desnutrición aguda y sobrepeso, promover planes de seguimiento de crecimiento de esta población y optimizarla comunicación entre medicina tradicional y occidental teniendo a las madres como actores principales

    Common variants in Alzheimer's disease and risk stratification by polygenic risk scores.

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    Funder: Funder: Fundación bancaria ‘La Caixa’ Number: LCF/PR/PR16/51110003 Funder: Grifols SA Number: LCF/PR/PR16/51110003 Funder: European Union/EFPIA Innovative Medicines Initiative Joint Number: 115975 Funder: JPco-fuND FP-829-029 Number: 733051061Genetic discoveries of Alzheimer's disease are the drivers of our understanding, and together with polygenetic risk stratification can contribute towards planning of feasible and efficient preventive and curative clinical trials. We first perform a large genetic association study by merging all available case-control datasets and by-proxy study results (discovery n = 409,435 and validation size n = 58,190). Here, we add six variants associated with Alzheimer's disease risk (near APP, CHRNE, PRKD3/NDUFAF7, PLCG2 and two exonic variants in the SHARPIN gene). Assessment of the polygenic risk score and stratifying by APOE reveal a 4 to 5.5 years difference in median age at onset of Alzheimer's disease patients in APOE ɛ4 carriers. Because of this study, the underlying mechanisms of APP can be studied to refine the amyloid cascade and the polygenic risk score provides a tool to select individuals at high risk of Alzheimer's disease

    Nurses' perceptions of aids and obstacles to the provision of optimal end of life care in ICU

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    Contains fulltext : 172380.pdf (publisher's version ) (Open Access

    Clinical Evaluation of the Microscopic Observation Drug Susceptibility Assay for Detection of Mycobacterium tuberculosis Resistance to Isoniazid or Rifampin▿

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    This prospective study evaluated the performance of the microscopic observation drug susceptibility (MODS) assay for the direct detection of Mycobacterium tuberculosis drug resistance. MODS assay sensitivity, specificity, and positive and negative predictive values were 96.7% (95% confidence interval [95% CI], 92.1 to 98.8%), 78.4% (95% CI, 73.5 to 80.6%), 82.4% (95% CI, 78.4 to 84.2%), and 95.8% (95% CI, 89.9 to 98.5%), respectively, for isoniazid resistance and 96.0% (95% CI, 90.3 to 98.6%), 82.9% (95% CI, 78.8 to 84.7%), 80.0% (95% CI, 75.2 to 82.1%), and 96.7% (95% CI, 91.9 to 98.8%), respectively, for rifampin resistance. For both rifampin and isoniazid testing, the likelihood ratio for a negative test was ≤0.05, indicating that the MODS assay may be useful for ruling out drug resistance

    Mapping the human genetic architecture of COVID-19

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    The genetic make-up of an individual contributes to the susceptibility and response to viral infection. Although environmental, clinical and social factors have a role in the chance of exposure to SARS-CoV-2 and the severity of COVID-191,2, host genetics may also be important. Identifying host-specific genetic factors may reveal biological mechanisms of therapeutic relevance and clarify causal relationships of modifiable environmental risk factors for SARS-CoV-2 infection and outcomes. We formed a global network of researchers to investigate the role of human genetics in SARS-CoV-2 infection and COVID-19 severity. Here we describe the results of three genome-wide association meta-analyses that consist of up to 49,562 patients with COVID-19 from 46 studies across 19 countries. We report 13 genome-wide significant loci that are associated with SARS-CoV-2 infection or severe manifestations of COVID-19. Several of these loci correspond to previously documented associations to lung or autoimmune and inflammatory diseases3–7. They also represent potentially actionable mechanisms in response to infection. Mendelian randomization analyses support a causal role for smoking and body-mass index for severe COVID-19 although not for type II diabetes. The identification of novel host genetic factors associated with COVID-19 was made possible by the community of human genetics researchers coming together to prioritize the sharing of data, results, resources and analytical frameworks. This working model of international collaboration underscores what is possible for future genetic discoveries in emerging pandemics, or indeed for any complex human disease

    Empowering Latina scientists

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    Nat Commun

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    Genetic discoveries of Alzheimer's disease are the drivers of our understanding, and together with polygenetic risk stratification can contribute towards planning of feasible and efficient preventive and curative clinical trials. We first perform a large genetic association study by merging all available case-control datasets and by-proxy study results (discovery n = 409,435 and validation size n = 58,190). Here, we add six variants associated with Alzheimer's disease risk (near APP, CHRNE, PRKD3/NDUFAF7, PLCG2 and two exonic variants in the SHARPIN gene). Assessment of the polygenic risk score and stratifying by APOE reveal a 4 to 5.5 years difference in median age at onset of Alzheimer's disease patients in APOE ɛ4 carriers. Because of this study, the underlying mechanisms of APP can be studied to refine the amyloid cascade and the polygenic risk score provides a tool to select individuals at high risk of Alzheimer's disease

    Common variants in Alzheimer's disease and risk stratification by polygenic risk scores

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    New insights into the genetic etiology of Alzheimer's disease and related dementias

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    New insights into the genetic etiology of Alzheimer’s disease and related dementias

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    Characterization of the genetic landscape of Alzheimer’s disease (AD) and related dementias (ADD) provides a unique opportunity for a better understanding of the associated pathophysiological processes. We performed a two-stage genome-wide association study totaling 111,326 clinically diagnosed/‘proxy’ AD cases and 677,663 controls. We found 75 risk loci, of which 42 were new at the time of analysis. Pathway enrichment analyses confirmed the involvement of amyloid/tau pathways and highlighted microglia implication. Gene prioritization in the new loci identified 31 genes that were suggestive of new genetically associated processes, including the tumor necrosis factor alpha pathway through the linear ubiquitin chain assembly complex. We also built a new genetic risk score associated with the risk of future AD/dementia or progression from mild cognitive impairment to AD/dementia. The improvement in prediction led to a 1.6- to 1.9-fold increase in AD risk from the lowest to the highest decile, in addition to effects of age and the APOE ε4 allele
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