991 resultados para diagnostic biomarkers


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Objective: to determine the palm-plant paleness’ characteristics in Colombian infant rural population, as a diagnostic method of anemia, and to establish a correlation between the finding of palm-plant paleness and the Hematocrit values. Methodology: a cross sectional study was used to evaluate 169 boys and girls, between 2 months and 12 years old, of the rural area of San Vicente del Caguan, who entered into a Health Campaign. Following the signature of an informed consent, parents accept their children to participate in the study. Those with acute or chronic pathologies were excluded. The presence of palm-plant paleness was determined by observers trained in the Integrated Management of Childhood Illness (IMCI) Strategy. Hematocrit was measured to all children, as well as a peripheral blood smear. Interrater concordance evaluation (Kappa index) was determined through a pilot test and a validation (sensitivity, specificity) was performed, using Hematocrit as the standard. Results: 93 of the participants were male and 77 were female. 45% of them had palm paleness. The Hematocrit showed anemia in 34.1% of the children. The validation analysis demonstrated a 67.2% of sensibility, a 66.6% of specificity, a 51.3% of positive predictive values and a 79.5% of negative predictive values. Hypochromic and Eosinophilia were found in most of the peripheral blood smears’ children with anemia. Conclusions: although this tool presents a low sensibility and specificity for low/moderated anemia, it is useful for excluding it in infants without palm paleness.

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This document is intended to be read by the Colombian Ministry of Social Protection (former MoH) and includes some recommendations that could be implemented on the aim to increase allocative efficiency, thus improving macroeconomic performance of the Colombian Health System (CHS). It will be conducted as follows: first it will briefly review the background and actual context of the CHS, after this, will mention some related issues that justify a policy intervention on strategic purchasing to promote long run sustainability and hopefully the future attainment of major goals such as universal coverage and quality improvement. After prioritizing the main financial threats to the system, based on findings from literature review from countries that have successfully implemented similar policies, this paper will make some policy recommendations on regards especially to inpatient health care services in Colombia.

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Introducción: La sepsis es una de las principales causas de morbilidad y mortalidad en la población pediátrica a nivel mundial, siendo la disminución del gasto cardiaco uno de los principales factores asociados a mortalidad. Se ha planteado la diferencia venoarterial de pCO2 como predictor de la función miocárdica en pacientes con sepsis, sin embargo hasta el momento no hay estudios en la población pediátrica que lo evalúen. Objetivo: Determinar la capacidad predictora y las características operativas de la diferencia venoarterial de pCO2, como predictor de disfunción miocárdica en pacientes pediátricos con sepsis severa y choque séptico. Métodos: Para alcanzar los objetivos del estudio, se llevo a cabo un estudio prospectivo de pruebas diagnósticas. Se realizó ecocardiograma y diferencia venoarterial de pCO2 en cada paciente, posteriormente se calculó las características operativas de la diferencia venoarterial de pCO2 para determinar su utilidad. Resultados: Se incluyeron 71 pacientes. La mediana de la diferencia venoarterial de pCO2 no fue significativamente mayor en los pacientes que tuvieron disfunción cardiaca en el ecocardiograma en comparación con los que no tuvieron disfunción. Se encontró una relación estadísticamente significativa de valores de 1,5 a 2,1 mmHg, como predictor negativo de disfunción miocárdica con una sensibilidad de 100% y una especificidad de 88%. Conclusiones: La diferencia venoarterial de pCO2 requiere de estudios mas extensos para determinar la probabilidad como predictor de disfunción miocárdica en pacientes pediátricos con sepsis severa y choque séptico, incluso cuando otros biomarcadores se encuentran dentro de límites normales.

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Introducción: La infección por un tipo de Virus del Papiloma Humano de alto riesgo (VPH-AR), es el factor principal en el desarrollo de Cáncer de Cérvix (CC). La carga viral puede modular esta asociación, por lo que resulta importante su cuantificación y el establecimiento de su relación con lesiones precursoras de CC. Metodología: 60 mujeres con lesiones escamosas intraepiteliales (LEI) y 120 mujeres sin LEI, confirmadas por colposcopia, fueron incluidas en el estudio. Se determinó la carga viral de 6 tipos de VPH-AR, mediante PCR en tiempo real. Se estimaron OR crudos y ajustados para evaluar la asociación entre la carga viral de cada tipo y las lesiones cervicales. Resultados: 93.22% de mujeres con LEI y 91.23% de mujeres negativas, fueron positivas para al menos un tipo de VPH. VPH-18 y VPH-16 fueron los tipos más prevalentes, junto con VPH-31 en mujeres sin LEI. No se encontraron diferencias estadísticamente significativas de las cargas virales entre éstos dos grupos, aunque se observó un mayor carga viral en lesiones para algunos tipos virales. Una mayor frecuencia de lesiones se asoció a infecciones con carga baja de VPH-16 (ORa: 3.53; IC95%: 1.16 – 10.74), en comparación a mujeres con carga alta de VPH-16, (ORa: 2.63; IC95%: 1.09 – 6.36). En infecciones por VPH-31, la presencia de carga viral alta, se asoció con una menor frecuencia de lesiones (ORa: 0.34; IC95%: 0.15 – 0.78). Conclusiones: La prevalencia tipo-específica de VPH se corresponde con las reportadas a nivel mundial. La asociación entre la carga viral del VPH y la frecuencia de LEI es tipo específica y podría depender de la duración de la infección, altas cargas relacionadas con infecciones transitorias, y bajas cargas con persistentes. Este trabajo contribuye al entendimiento del efecto de la carga viral en la historia natural del CC; sin embargo, estudios prospectivos son necesarios para confirmar estos resultados.

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Desde un marco ecléctico sobre la evaluación psicopedagógica se revisan las investigaciones realizadas sobre el Keymath Diagnostic Arithmetic Test desde su construcción hasta la actualidad. Dichas investigaciones se han agrupado en cinco lineas: propiedades psicométricas para la evaluación del rendimiento, utilización en programas instruccionales, estudios con poblaciones especiales, estudios relacionados con el desarrollo cognitivo, y estudios sobre versiones revisadas.

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Resumen tomado de la publicaci??n

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This paper examines two individually administered diagnostic reading tests, the Woodcock Reading Mastery Tests and the Diagnostic Reading Scales, to determine their value for use with hearing-impaired children.

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This paper reviews clinic diagnostic hearing evaluations.

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The interannual variability of the hydrological cycle is diagnosed from the Hadley Centre and Geophysical Fluid Dynamics Laboratory (GFDL) climate models, both of which are forced by observed sea surface temperatures. The models produce a similar sensitivity of clear-sky outgoing longwave radiation to surface temperature of ∼2 W m−2 K−1, indicating a consistent and positive clear-sky radiative feedback. However, differences between changes in the temperature lapse-rate and the height dependence of moisture fluctuations suggest that contrasting mechanisms bring about this result. The GFDL model appears to give a weaker water vapor feedback (i.e., changes in specific humidity). This is counteracted by a smaller upper tropospheric temperature response to surface warming, which implies a compensating positive lapse-rate feedback.

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The article considers screening human populations with two screening tests. If any of the two tests is positive, then full evaluation of the disease status is undertaken; however, if both diagnostic tests are negative, then disease status remains unknown. This procedure leads to a data constellation in which, for each disease status, the 2 × 2 table associated with the two diagnostic tests used in screening has exactly one empty, unknown cell. To estimate the unobserved cell counts, previous approaches assume independence of the two diagnostic tests and use specific models, including the special mixture model of Walter or unconstrained capture–recapture estimates. Often, as is also demonstrated in this article by means of a simple test, the independence of the two screening tests is not supported by the data. Two new estimators are suggested that allow associations of the screening test, although the form of association must be assumed to be homogeneous over disease status. These estimators are modifications of the simple capture–recapture estimator and easy to construct. The estimators are investigated for several screening studies with fully evaluated disease status in which the superior behavior of the new estimators compared to the previous conventional ones can be shown. Finally, the performance of the new estimators is compared with maximum likelihood estimators, which are more difficult to obtain in these models. The results indicate the loss of efficiency as minor.

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The paper considers meta-analysis of diagnostic studies that use a continuous score for classification of study participants into healthy or diseased groups. Classification is often done on the basis of a threshold or cut-off value, which might vary between studies. Consequently, conventional meta-analysis methodology focusing solely on separate analysis of sensitivity and specificity might be confounded by a potentially unknown variation of the cut-off value. To cope with this phenomena it is suggested to use, instead, an overall estimate of the misclassification error previously suggested and used as Youden’s index and; furthermore, it is argued that this index is less prone to between-study variation of cut-off values. A simple Mantel–Haenszel estimator as a summary measure of the overall misclassification error is suggested, which adjusts for a potential study effect. The measure of the misclassification error based on Youden’s index is advantageous in that it easily allows an extension to a likelihood approach, which is then able to cope with unobserved heterogeneity via a nonparametric mixture model. All methods are illustrated at hand of an example on a diagnostic meta-analysis on duplex doppler ultrasound, with angiography as the standard for stroke prevention.