Diarrea neonatal: Una enfermedad multifactorial – resultados preliminares en Rotavirus y Coronavirus

La diarrea neonatal es una enfermedad que afecta a terneros jóvenes, desde las 12 hs a 30 días de nacido, caracterizada por una descarga fecal líquida, acuosa, aromática, que conlleva un malestar general del animal, decaimiento, dolor abdominal, falta de apetito, deshidratación progresiva y muerte. Esta patología se define como multietiológica ya que es causada por distintos agentes infecciosos y/o parasitarios y multifactorial porque intervienen en su presentación diferentes aspectos: ambientales (lluvia, frío, barro); nutricionales y de manejo...Fil: Allassia, M.. Universidad Nacional del Litoral. Facultad de Ciencias Veterinarias; ArgentinaFil: Angeli, Emmanuel. Universidad Nacional del Litoral. Facultad de Ciencias Veterinarias; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Santa Fe. Instituto de Ciencias Veterinarias del Litoral. Universidad Nacional del Litoral. Facultad de Ciencias Veterinarias. Instituto de Ciencias Veterinarias del Litoral; ArgentinaFil: Machado, S.. Universidad Nacional del Litoral. Facultad de Ciencias Veterinarias; ArgentinaFil: Duarte, S.. Universidad Nacional del Litoral. Facultad de Ciencias Veterinarias; ArgentinaFil: Lapalma, C.. Universidad Nacional del Litoral. Facultad de Ciencias Veterinarias; ArgentinaFil: Schlegel, S.. Universidad Nacional del Litoral. Facultad de Ciencias Veterinarias; ArgentinaFil: Trucco, A.. Universidad Nacional del Litoral. Facultad de Ciencias Veterinarias; ArgentinaFil: Giaime, B.. Universidad Nacional del Litoral. Facultad de Ciencias Veterinarias; ArgentinaFil: Ruiz, M.. Universidad Nacional del Litoral. Facultad de Ciencias Veterinarias; ArgentinaFil: Aguirre, F. O.. Universidad Nacional del Litoral. Facultad de Ciencias Veterinarias; ArgentinaFil: Jaime, J.. Universidad Nacional del Litoral. Facultad de Ciencias Veterinarias; ArgentinaFil: Reibel, G.. Universidad Nacional del Litoral. Facultad de Ciencias Veterinarias; ArgentinaFil: Baravalle, A.. Universidad Nacional del Litoral. Facultad de Ciencias Veterinarias; ArgentinaFil: Vega, Celina Guadalupe. Instituto Nacional de Tecnologia Agropecuaria. Centro de Investigacion En Ciencias Veterinarias y Agronomicas. Instituto de Virologia E Innovaciones Tecnologicas. - Consejo Nacional de Investigaciones Cientificas y Tecnicas. Oficina de Coordinacion Administrativa Pque. Centenario. Instituto de Virologia E Innovaciones Tecnologicas.; ArgentinaFil: Bok, Marina. Instituto Nacional de Tecnologia Agropecuaria. Centro de Investigacion En Ciencias Veterinarias y Agronomicas. Instituto de Virologia E Innovaciones Tecnologicas. - Consejo Nacional de Investigaciones Cientificas y Tecnicas. Oficina de Coordinacion Administrativa Pque. Centenario. Instituto de Virologia E Innovaciones Tecnologicas.; ArgentinaFil: Rocha, L.. Instituto Nacional de Tecnologia Agropecuaria. Centro de Investigacion En Ciencias Veterinarias y Agronomicas. Instituto de Virologia E Innovaciones Tecnologicas. - Consejo Nacional de Investigaciones Cientificas y Tecnicas. Oficina de Coordinacion Administrativa Pque. Centenario. Instituto de Virologia E Innovaciones Tecnologicas.; ArgentinaFil: Parreño, Gladys Viviana. Instituto Nacional de Tecnologia Agropecuaria. Centro de Investigacion En Ciencias Veterinarias y Agronomicas. Instituto de Virologia E Innovaciones Tecnologicas. - Consejo Nacional de Investigaciones Cientificas y Tecnicas. Oficina de Coordinacion Administrativa Pque. Centenario. Instituto de Virologia E Innovaciones Tecnologicas.; ArgentinaVII Jornada de Difusión de la Investigación y ExtensiónEsperanzaArgentinaUniversidad Nacional del Litoral. Facultad de Ciencias Veterinaria

Suitability of UK biobank retinal images for automatic analysis of morphometric properties of the vasculature

To assess the suitability of retinal images held in the UK Biobank--the largest retinal data repository in a prospective population-based cohort--for computer assisted vascular morphometry, generating measures that are commonly investigated as candidate biomarkers of systemic disease.Non-mydriatic fundus images from both eyes of 2,690 participants--people with a self-reported history of myocardial infarction (n=1,345) and a matched control group (n=1,345)--were analysed using VAMPIRE software. These images were drawn from those of 68,554 UK Biobank participants who underwent retinal imaging at recruitment. Four operators were trained in the use of the software to measure retinal vascular tortuosity and bifurcation geometry.Total operator time was approximately 360 hours (4 minutes per image). 2,252 (84%) of participants had at least one image of sufficient quality for the software to process, i.e. there was sufficient detection of retinal vessels in the image by the software to attempt the measurement of the target parameters. 1,604 (60%) of participants had an image of at least one eye that was adequately analysed by the software, i.e. the measurement protocol was successfully completed. Increasing age was associated with a reduced proportion of images that could be processed (p=0.0004) and analysed (p<0.0001). Cases exhibited more acute arteriolar branching angles (p=0.02) as well as lower arteriolar and venular tortuosity (p<0.0001).A proportion of the retinal images in UK Biobank are of insufficient quality for automated analysis. However, the large size of the UK Biobank means that tens of thousands of images are available and suitable for computational analysis. Parametric information measured from the retinas of participants with suspected cardiovascular disease was significantly different to that measured from a matched control group

Retinal vessel phenotype in patients with a history of retinal vein occlusion

International audienceIntroduction: The aim of the study was to estimate the phenotypeof retinal vessels using CRAE (central retinal artery equivalent), CRVE (central retinal vein equivalent), tortuosity and fractal analysis in the unaffectedcontralateral eye of patients with central (CRVO) or branch (BRVO) retinal vein occlusion. Methods: 34patients suffering from CRVO, 15suffering from BRVOand 49 controlled-matched subjects had a fundus image analyzed using the VAMPIRE software. The intraclass correlation coefficient and a Bland-Altman plot were done for the reproducibility study.Results: There was a lack of evidence of differencebetween the control group and the CRVO group for CRAE (p=0.06), CRVE (p=0.3) and arterio-venule ratio(AVR, p=0.6).Contralateral eyes of CRVO exhibited a significantly higherarterial and minimum arterial tortuosity values (p=0.012), as compared with control eyes. Contralateral eyes of patients with ahistoryof BRVO had a significantly higherCRAE (p=0.02), AVR (p=0.006) and minimal arterial tortuosity (p=0.05). Fractal analysis showed that contralateral eyes of BRVO had higher values of fractal parameters(D0a, p=0.005).Conclusion: This study suggests that CVRO or BRVO are not triggered by the same retinal vascular phenotypes in the contralateral eye. The morphology of retinal vasculature may be associated with the occurrence of RVO, independentlyof known risk factors

Participant characteristics.

<p>*based on the UK Biobank Data Showcase 11.</p><p>Participant characteristics.</p

Proportions of participants with at least one image that was <i>processable</i> or <i>analysable</i> by gender, age group and case-control status.

<p>*p-values from chi-squared test (and, for age, chi-squared test for trend)</p><p>^† reference group</p><p>Adjusted ORs from multivariable logistic regression model adjusting simultaneously for sex, age and case/control status were almost identical to unadjusted ORs; p values derived from multivariable logistic regression analyses were similar</p><p>Proportions of participants with at least one image that was <i>processable</i> or <i>analysable</i> by gender, age group and case-control status.</p

Analysis of VAMPIRE measures regarding the inter-operator reliability.

<p>ICC: intraclass correlation coefficient; CI: confident interval;</p><p>*Two-Way Mixed, Consistency Agreement, Average Measure Model</p><p>Note: When both eyes had VAMPIRE measurement, the mean calculated from both eyes was used.</p><p>Analysis of VAMPIRE measures regarding the inter-operator reliability.</p

Correlation of VAMPIRE measure between left and right eyes.

<p>SD: standard deviation;</p><p>*from Bland-Altman analysis</p><p>Correlation of VAMPIRE measure between left and right eyes.</p