Avaliação do conhecimento de médicos não-radiologistas sobre reações adversas aos contrastes iodados

OBJETIVO: Avaliar o conhecimento dos médicos não-radiologistas sobre reações adversas ao meio de contraste iodado, sua prevenção e as condições clínicas que aumentam seu risco. MATERIAIS E MÉTODOS: Estudo transversal com 203 médicos não-radiologistas (assistentes, residentes e estagiários) de várias especialidades, utilizando um questionário com dez questões de múltipla escolha abordando profilaxia, fatores de risco e condutas relacionadas ao desenvolvimento de reações adversas aos meios de contraste iodados. Os resultados foram analisados com o programa Statistic Package for Social Sciences, Windows®, versão 12.0. RESULTADOS: Asma, alergia alimentar, ansiedade e doença isquêmica do coração foram considerados fatores de risco por 80,9%, 78,9%, 5,9% e 4,1% dos participantes, respectivamente. Para 23,4% dos médicos, não há contra-indicações absolutas ao uso do meio de contraste iodado. As condutas profiláticas em pacientes com reação prévia ao meio de contraste iodado e em diabéticos em uso de metformina foram corretamente indicadas por 84,5% e 53,7% dos participantes, respectivamente. As questões abordando nefropatia induzida por meio de contraste iodado, uso de anti-sépticos tópicos iodados em pacientes com história de reação adversa ao meio de contraste iodado e ansiedade foram acertadas por 86,1%, 45,5%, e 5,9% dos participantes, respectivamente. CONCLUSÃO: Os médicos não-radiologistas demonstraram conhecimento razoável sobre reações adversas aos meios de contraste iodados. É necessária melhor integração e comunicação entre radiologistas e médicos das demais especialidades.

Persistent spatial clusters of high body mass index in a Swiss urban population as revealed by the 5-year GeoCoLaus longitudinal study.

OBJECTIVE: Body mass index (BMI) may cluster in space among adults and be spatially dependent. Whether and how BMI clusters evolve over time in a population is currently unknown. We aimed to determine the spatial dependence of BMI and its 5-year evolution in a Swiss general adult urban population, taking into account the neighbourhood-level and individual-level characteristics. DESIGN: Cohort study. SETTING: Swiss general urban population. PARTICIPANTS: 6481 georeferenced individuals from the CoLaus cohort at baseline (age range 35-74 years, period=2003-2006) and 4460 at follow-up (period=2009-2012). OUTCOME MEASURES: Body weight and height were measured by trained healthcare professionals with participants standing without shoes in light indoor clothing. BMI was calculated as weight (kg) divided by height squared (m(2)). Participants were geocoded using their postal address (geographic coordinates of the place of residence). Getis-Ord Gi statistic was used to measure the spatial dependence of BMI values at baseline and its evolution at follow-up. RESULTS: BMI was not randomly distributed across the city. At baseline and at follow-up, significant clusters of high versus low BMIs were identified and remained stable during the two periods. These clusters were meaningfully attenuated after adjustment for neighbourhood-level income but not individual-level characteristics. Similar results were observed among participants who showed a significant weight gain. CONCLUSIONS: To the best of our knowledge, this is the first study to report longitudinal changes in BMI clusters in adults from a general population. Spatial clusters of high BMI persisted over a 5-year period and were mainly influenced by neighbourhood-level income.

Experimental enhancement of corticosterone levels positively affects subsequent male survival.

Corticosterone is an important hormone of the stress response that regulates physiological processes and modifies animal behavior. While it positively acts on locomotor activity, it may negatively affect reproduction and social activity. This suggests that corticosterone may promote behaviors that increase survival at the cost of reproduction. In this study, we experimentally investigate the link between corticosterone levels and survival in adult common lizards (Lacerta vivipara) by comparing corticosterone-treated with placebo-treated lizards. We experimentally show that corticosterone enhances energy expenditure, daily activity, food intake, and it modifies the behavioral time budget. Enhanced appetite of corticosterone-treated individuals compensated for increased energy expenditure and corticosterone-treated males showed increased survival. This suggests that corticosterone may promote behaviors that reduce stress and it shows that corticosterone per se does not reduce but directly or indirectly increases longer-term survival. This suggests that the production of corticosterone as a response to a stressor may be an adaptive mechanism that even controls survival.

A measure of stability as a criterion for the verification and analysis of simulation models

The aim of this study is to define a new statistic, PVL, based on the relative distance between the likelihood associated with the simulation replications and the likelihood of the conceptual model. Our results coming from several simulation experiments of a clinical trial show that the PVL statistic range can be a good measure of stability to establish when a computational model verifies the underlying conceptual model. PVL improves also the analysis of simulation replications because only one statistic is associated with all the simulation replications. As well it presents several verification scenarios, obtained by altering the simulation model, that show the usefulness of PVL. Further simulation experiments suggest that a 0 to 20 % range may define adequate limits for the verification problem, if considered from the viewpoint of an equivalence test.

Eficacia del kinesiotape en el tratamiento de los esguinces crónicos de tobillo en el baloncesto

Es un estudio experimental de tipo ensayo clínico aleatorizado. El objetivo principal de este estudio es comprobar si hay una mejora en el esguince crónico del ligamento lateral externo del tobillo en jugadores de baloncesto con la aplicación de Kinesiotape. El estudio que se lleva a cabo tendrá una muestra de 28 individuos que pertenecen al Club Bàsquet Lliçà d’Amunt de entre 12 y 31 años y que tengan un esguince crónico de tobillo de más de 6 meses de evolución. Se harán dos grupos de 14 individuos cada uno de forma aleatorizada, el primero será el grupo intervención y el segundo el grupo control. Se valorará el dolor de los jugadores cada dos semanas mediante una escala EVA y un algómetro y la funcionalidad mediante la goniometría. Posteriormente se analizarán los resultados con el programa estadístico SPSS 19.0 (Ilinois, Chicago) y se elaborarán las conclusiones y un informe. Las principales limitaciones que podemos encontrar en este estudio son la pérdida de jugadores por diferentes motivos, que sufran alguna lesión de gravedad, que el calendario de competición nos afecte a la continuidad del estudio y la caída del kinesiotape antes de lo previsto y que no se informe al fisioterapeuta.

La rivalitat Nadal-Djokovic durant l'any 2013

L’objectiu d’aquest estudi va ser poder observar les diferències a nivell estadístic entre dos tenistes. En ell apareixen els dos millors tenistes del moment en l’any 2013: Rafael Nadal i Novak Djokovic. Per a la medició dels seus partits a nivell estadístic es va utilitzar un protocol verbal a través d’una fulla d’Excel per tal de poder, posteriorment codificar la informació. Els resultats mostren les diferències de joc entre un i l’altre, així com els punts forts i dèbils de cada jugador. Aquest estudi pretén informar de manera objectiva, en quines situacions el tenista es desenvolupa millor i en quines té més problemes.

Cómo aplicar las pruebas paramétricas bivariadas t de Student y ANOVA en SPSS.

Las pruebas paramétricas son un tipo de pruebas de significación estadística que cuantifican la asociación o independencia entre una variable cuantitativa y una categórica. Las pruebas paramétricas exigen ciertos requisitos previos para su aplicación: la distribución Normal de la variable cuantitativa en los grupos que se comparan, la homogeneidad de varianzas en las poblaciones de las que proceden los grupos y una n muestral no inferior a 30. Su incumplimiento conlleva la necesidad de recurrir a pruebas estadísticas no paramétricas. Las pruebas paramétricas se clasifican en dos: prueba t (para una muestra o para dos muestras relacionadas o independientes) y prueba ANOVA (para más de dos muestras independientes).

Introducción técnica a la implementación de compresores y descompresores basados en los sistemas Huffman y Lempev-Ziv

Peer-reviewed

Multicointegration, polynomial cointegration and I(2) cointegration with structural breaks. An application to the sustainability of the US external deficit

In this paper we model the multicointegration relation, allowing for one structural break. Since multicointegration is a particular case of polynomial or I(2) cointegration, our proposal can also be applied in these cases. The paper proposes the use of a residualbased Dickey-Fuller class of statistic that accounts for one known or unknown structural break. Finite sample performance of the proposed statistic is investigated by using Monte Carlo simulations, which reveals that the statistic shows good properties in terms of empirical size and power. We complete the study with an empirical application of the sustainability of the US external deficit. Contrary to existing evidence, the consideration of one structural break leads to conclude in favour of the sustainability of the US external deficit.

Epidemiology of measles virus outbreaks in Catalonia: importance of immunization in the elimination era

Eradicating measles represents a major public health achievement, yet outbreaks still occur in territories where endemic measles virus (MV) had been eliminated. In Catalonia from the year 2000 cases have occurred as isolated cases or small outbreaks, both linked to imported cases up to the end of 2006 when a large outbreak started out affecting mainly children ≤15m. In consequence, immunization schedule was amended lowering first dose to 12m. Again new MV importations from neighboring countries triggered another outbreak on November 2010 with a different age distribution sparing small children from infection. Differences in incidence (IR), rate ratio (RR) and 95% CI and hospitalization rate (HR) by age group were determined. Statistic z was used for comparing proportions. Total number of confirmed cases was 305 vs 381 in 2006; mean age 20 yrs (SD 14.8yrs; 3m -51yrs) vs 15m (SD13.1yrs; 1m-50yrs). Highest proportion of cases was set in ≥25yrs (47%) vs 24.2% in 2006 (p<0.001). Difference in IR for ≤ 15m was statistically significant (49/100,000 vs 278.2/100,000; RR:3.9; 95%CI 2.9-5.4) and in HR 30.2% vs 15.7% (p<0.001). The change of the month of administration of the first dose proved successful. Given the current epidemiological situation, continued awareness and efforts to reach young adult population are needed to stop the spread of the virus.

Epidemiology of measles virus outbreaks in Catalonia: importance of immunization in the elimination era

Eradicating measles represents a major public health achievement, yet outbreaks still occur in territories where endemic measles virus (MV) had been eliminated. In Catalonia from the year 2000 cases have occurred as isolated cases or small outbreaks, both linked to imported cases up to the end of 2006 when a large outbreak started out affecting mainly children ≤15m. In consequence, immunization schedule was amended lowering first dose to 12m. Again new MV importations from neighboring countries triggered another outbreak on November 2010 with a different age distribution sparing small children from infection. Differences in incidence (IR), rate ratio (RR) and 95% CI and hospitalization rate (HR) by age group were determined. Statistic z was used for comparing proportions. Total number of confirmed cases was 305 vs 381 in 2006; mean age 20 yrs (SD 14.8yrs; 3m -51yrs) vs 15m (SD13.1yrs; 1m-50yrs). Highest proportion of cases was set in ≥25yrs (47%) vs 24.2% in 2006 (p<0.001). Difference in IR for ≤ 15m was statistically significant (49/100,000 vs 278.2/100,000; RR:3.9; 95%CI 2.9-5.4) and in HR 30.2% vs 15.7% (p<0.001). The change of the month of administration of the first dose proved successful. Given the current epidemiological situation, continued awareness and efforts to reach young adult population are needed to stop the spread of the virus.

Assessing functional relations in single-case designs: Quantitative proposals in the context of the evidence-based movement

In the context of the evidence-based practices movement, the emphasis on computing effect sizes and combining them via meta-analysis does not preclude the demonstration of functional relations. For the latter aim, we propose to augment the visual analysis to add consistency to the decisions made on the existence of a functional relation without losing sight of the need for a methodological evaluation of what stimuli and reinforcement or punishment are used to control the behavior. Four options for quantification are reviewed, illustrated, and tested with simulated data. These quantifications include comparing the projected baseline with the actual treatment measurements, on the basis of either parametric or nonparametric statistics. The simulated data used to test the quantifications include nine data patterns in terms of the presence and type of effect and comprising ABAB and multiple baseline designs. Although none of the techniques is completely flawless in terms of detecting a functional relation only when it is present but not when it is absent, an option based on projecting split-middle trend and considering data variability as in exploratory data analysis proves to be the best performer for most data patterns. We suggest that the information on whether a functional relation has been demonstrated should be included in meta-analyses. It is also possible to use as a weight the inverse of the data variability measure used in the quantification for assessing the functional relation. We offer an easy to use code for open-source software for implementing some of the quantifications.

Indirect likelihood inference (revised)

Standard indirect Inference (II) estimators take a given finite-dimensional statistic, Z_{n} , and then estimate the parameters by matching the sample statistic with the model-implied population moment. We here propose a novel estimation method that utilizes all available information contained in the distribution of Z_{n} , not just its first moment. This is done by computing the likelihood of Z_{n}, and then estimating the parameters by either maximizing the likelihood or computing the posterior mean for a given prior of the parameters. These are referred to as the maximum indirect likelihood (MIL) and Bayesian Indirect Likelihood (BIL) estimators, respectively. We show that the IL estimators are first-order equivalent to the corresponding moment-based II estimator that employs the optimal weighting matrix. However, due to higher-order features of Z_{n} , the IL estimators are higher order efficient relative to the standard II estimator. The likelihood of Z_{n} will in general be unknown and so simulated versions of IL estimators are developed. Monte Carlo results for a structural auction model and a DSGE model show that the proposed estimators indeed have attractive finite sample properties.

Efecto de la suplementación con ácidos grasos de cadena media sobre la evolución de peso en lechones con poco peso al nacimiento

La evolución de peso en los períodos de lactación y transición de 583 lechones fue estudiada mediante un análisis estadístico, evaluando el efecto de la suplementación con ácidos grasos de cadena media (AGCM) en lechones con poco peso al nacimiento. 188 de los 375 lechones que nacieron con un peso al nacimiento (PN) <1250 g recibieron 3mL de AGCM cada 24 h durante los primeros 3 días de vida; su peso medio al destete (día 28) fue inferior respecto al grupo control (lechones no suplementados) (-114,17 g). No obstante, 106 de los 180 lechones nacidos con un PN <1000 g fueron suplementados, y su peso medio al destete y a finales de transición (día 63) fue superior respecto al grupo control (destete: +315,16 g; día 63: +775,47 g). Finalmente, los lechones suplementados con PN<800 g tuvieron los peores resultados: su diferencia de peso medio al destete fue de -177,58 g respecto al grupo control. Por lo tanto, en esta prueba fueron estudiados los lechones con un PN entre 800 y 999 g porque el grupo suplementado al destete tuvo una diferencia de peso medio considerable respecto al grupo control:+511,58 g. Asimismo, considerando una probabilidad de error inferior a 0,05, no hubieron diferencias significativas en las diferentes categorías de PN analizadas. De todas maneras, es importante destacar el alto grado de significación en la suplementación con AGCM en lechones con PN entre 800 y 999g (P=0,059). Por otra parte, el PN del grupo suplementado con PN<1000 g fue inferior que el del grupo no suplementado con PN<1000 g; esta diferencia de PN fue significativa (P=0,004) y como consecuencia el grado de significación en la suplementación con AGCM en lechones con PN entre 800 y 999 g fue inferior al esperado. Además, en esta prueba se incluyeron algunos resultados generales y también un análisis simple de supervivencia, aunque no era el objetivo principal

Estatística aplicada à química: dez dúvidas comuns

Ten common doubts of chemistry students and professionals about their statistical applications are discussed. The use of the N-1 denominator instead of N is described for the standard deviation. The statistical meaning of the denominators of the root mean square error of calibration (RMSEC) and root mean square error of validation (RMSEV) are given for researchers using multivariate calibration methods. The reason why scientists and engineers use the average instead of the median is explained. Several problematic aspects about regression and correlation are treated. The popular use of triplicate experiments in teaching and research laboratories is seen to have its origin in statistical confidence intervals. Nonparametric statistics and bootstrapping methods round out the discussion.