Utilidad de la relación aclaramiento de creatinina - índice de resistencia de la ecografía Doppler renal como predictor de rechazo agudo en riñones trasplantados

ResumenObjetivoAnalizar la utilidad de la asociación del índice de resistencia (IR) en las arterias arcuatas renales con el aclaramiento de creatinina (Cl Cr) para predecir el rechazo agudo del riñón trasplantado.Materiales y métodosSe realizó un estudio prospectivo de una cohorte de 87 pacientes que fueron sometidos a una biopsia renal por alteraciones clínicas de la función renal. Se les midió el IR junto con el Cl Cr mediante el método de modificación de la dieta en la enfermedad renal.ResultadosLa sensibilidad de la asociación IR mayor de 0,7 y Cl Cr 0-30 fue del 53,3% (intervalo de confianza [IC] de 95%: 34,3-71,7%) y la especificidad del 98,2% (95% IC: 90,4-100%). El área bajo la curva fue de 0,758 (95% IC: 0,665-0,85), el likelihood ratio positivo de 22,9 (95% IC: 4,16-214), el likelihood ratio negativo de 0,475 (95% IC: 0,324- 0,685), el odds ratio de 62,9, el valor predictivo positivo de 94,1% (95% IC: 71,3- 99,9%) y el valor predictivo negativo de 79,1% (95% IC: 68,3-88,4%).ConclusiónLa asociación IR mayor de 0,7 y Cl Cr 0-30 demostró ser útil para confirmar la posibilidad de rechazo renal agudo, al tener una buena especificidad (98,2%) a pesar de su baja sensibilidad (53%).AbstractObjectiveTo determine the usefulness of the association between the resistance index (RI) values in renal arcuate arteries and creatinine clearance (Cr Cl) levels in order to predict or detect acute rejection in a kidney transplant patient.Materials and methodsA prospective study was conducted on a cohort of 87 patients who were subjected to a kidney biopsy due to clinical changes in renal function. The RI was measured, and Cr Cl levels determined using the modification of diet in renal disease formula.ResultsThe sensitivity of an RI association higher than 0.7 and a Cr Cl 0-30 was 53.3% (95% confidence interval [CI]: 34.3-71.7%), with a specificity of 98.2% (95% CI: 90.4-100%). The area under the curve was 0.758 (95% CI: 0.665-0.85), the positive and negative likelihood ratio was 22.9 (95% CI: 4.16-214) and 0.475 (95% CI: 0.324-0.685), respectively. The odds ratio was 62.9, and the positive and negative predicted value was 94.1% (95% CI: 71.3-99.9%) and 79.1% (95% CI: 68.3-88.4%), respectively.ConclusionThe RI association higher than 0.7- Cr Cl 0-30 showed to be useful to detect the possibility of acute renal rejection, with its good specificity (98.2%), although with a low sensitivity (53%)

A Pilot Study with a Novel Setup for Collaborative Play of the Humanoid Robot KASPAR with children with autism

This article is distributed under the terms of the Creative Commons Attribution License which permits any use, distribution, and reproduction in any medium, provided the original author(s) and the source are credited.This article describes a pilot study in which a novel experimental setup, involving an autonomous humanoid robot, KASPAR, participating in a collaborative, dyadic video game, was implemented and tested with children with autism, all of whom had impairments in playing socially and communicating with others. The children alternated between playing the collaborative video game with a neurotypical adult and playing the same game with the humanoid robot, being exposed to each condition twice. The equipment and experimental setup were designed to observe whether the children would engage in more collaborative behaviours while playing the video game and interacting with the adult than performing the same activities with the humanoid robot. The article describes the development of the experimental setup and its first evaluation in a small-scale exploratory pilot study. The purpose of the study was to gain experience with the operational limits of the robot as well as the dyadic video game, to determine what changes should be made to the systems, and to gain experience with analyzing the data from this study in order to conduct a more extensive evaluation in the future. Based on our observations of the childrens’ experiences in playing the cooperative game, we determined that while the children enjoyed both playing the game and interacting with the robot, the game should be made simpler to play as well as more explicitly collaborative in its mechanics. Also, the robot should be more explicit in its speech as well as more structured in its interactions. Results show that the children found the activity to be more entertaining, appeared more engaged in playing, and displayed better collaborative behaviours with their partners (For the purposes of this article, ‘partner’ refers to the human/robotic agent which interacts with the children with autism. We are not using the term’s other meanings that refer to specific relationships or emotional involvement between two individuals.) in the second sessions of playing with human adults than during their first sessions. One way of explaining these findings is that the children’s intermediary play session with the humanoid robot impacted their subsequent play session with the human adult. However, another longer and more thorough study would have to be conducted in order to better re-interpret these findings. Furthermore, although the children with autism were more interested in and entertained by the robotic partner, the children showed more examples of collaborative play and cooperation while playing with the human adult.Peer reviewe

Tactile Interactions with a Humanoid Robot : Novel Play Scenario Implementations with Children with Autism

Acknowledgments: This work has been partially supported by the European Commission under contract number FP7-231500-ROBOSKIN. Open Access: This article is distributed under the terms of the Creative Commons Attribution License which permits any use, distribution, and reproduction in any medium, provided the original author(s) and the source are credited.The work presented in this paper was part of our investigation in the ROBOSKIN project. The project has developed new robot capabilities based on the tactile feedback provided by novel robotic skin, with the aim to provide cognitive mechanisms to improve human-robot interaction capabilities. This article presents two novel tactile play scenarios developed for robot-assisted play for children with autism. The play scenarios were developed against specific educational and therapeutic objectives that were discussed with teachers and therapists. These objectives were classified with reference to the ICF-CY, the International Classification of Functioning – version for Children and Youth. The article presents a detailed description of the play scenarios, and case study examples of their implementation in HRI studies with children with autism and the humanoid robot KASPAR.Peer reviewedFinal Published versio

Mapping Robots to Therapy and Educational Objectives for Children with Autism Spectrum Disorder

The aim of this study was to increase knowledge on therapy and educational objectives professionals work on with children with autism spectrum disorder (ASD) and to identify corresponding state of the art robots. Focus group sessions (n = 9) with ASD professionals (n = 53) from nine organisations were carried out to create an objectives overview, followed by a systematic literature study to identify state of the art robots matching these objectives. Professionals identified many ASD objectives (n = 74) in 9 different domains. State of the art robots addressed 24 of these objectives in 8 domains. Robots can potentially be applied to a large scope of objectives for children with ASD. This objectives overview functions as a base to guide development of robot interventions for these children

Why Robots Should Be Social: Enhancing Machine Learning through Social Human-Robot Interaction.

Social learning is a powerful method for cultural propagation of knowledge and skills relying on a complex interplay of learning strategies, social ecology and the human propensity for both learning and tutoring. Social learning has the potential to be an equally potent learning strategy for artificial systems and robots in specific. However, given the complexity and unstructured nature of social learning, implementing social machine learning proves to be a challenging problem. We study one particular aspect of social machine learning: that of offering social cues during the learning interaction. Specifically, we study whether people are sensitive to social cues offered by a learning robot, in a similar way to children's social bids for tutoring. We use a child-like social robot and a task in which the robot has to learn the meaning of words. For this a simple turn-based interaction is used, based on language games. Two conditions are tested: one in which the robot uses social means to invite a human teacher to provide information based on what the robot requires to fill gaps in its knowledge (i.e. expression of a learning preference); the other in which the robot does not provide social cues to communicate a learning preference. We observe that conveying a learning preference through the use of social cues results in better and faster learning by the robot. People also seem to form a "mental model" of the robot, tailoring the tutoring to the robot's performance as opposed to using simply random teaching. In addition, the social learning shows a clear gender effect with female participants being responsive to the robot's bids, while male teachers appear to be less receptive. This work shows how additional social cues in social machine learning can result in people offering better quality learning input to artificial systems, resulting in improved learning performance