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dc.contributor.author | Garelli, Fabricio | es_ES |
dc.contributor.author | Fushimi, Emilia | es_ES |
dc.contributor.author | Rosales, Nicolás | es_ES |
dc.contributor.author | Arambarri, Delfina | es_ES |
dc.contributor.author | Serafini, María Cecilia | es_ES |
dc.contributor.author | De Battista, Hernán | es_ES |
dc.contributor.author | Grosembacher, Luis A. | es_ES |
dc.contributor.author | Sánchez-Peña, Ricardo S. | es_ES |
dc.date.accessioned | 2022-10-05T07:31:48Z | |
dc.date.available | 2022-10-05T07:31:48Z | |
dc.date.issued | 2022-06-29 | |
dc.identifier.issn | 1697-7912 | |
dc.identifier.uri | http://hdl.handle.net/10251/187019 | |
dc.description.abstract | [EN] In this work, we present the experience of our research group with the glucose regulation in people with Type 1 Diabetes (insulin-dependent), known as artificial pancreas. Our research group has carried out three clinical trials in Argentina, which were the first ones in Latin America. The first two studies took place in 2016 and 2017, both in the Hospital Italiano de Buenos Aires (HIBA) with five adult subjects and a duration of 36 hours. The second trial evaluated the performance of a novel closed-loop controlalgorithm (without meal insulin boluses), called ARG Automatic Regulation of Glucose) and based on switched LQG control and a safety layer called SAFE (Safery Auxiliary Feedback Element), developed by researchers of our team. More recently and during COVID-19 pandemic, the first ambulatory trials took place, which were carried out in 2021 in a hotel with 5 subjects during 6 days. Additionally, for this third trial, the use of the artificial pancreas platform developed by the UNLP, called InsuMate, was incorporated. This platform connects a smartphone with the insulin pump and glucose monitor, houses the control algorithm, andallows the remote monitoring of multiple users. The results suggest that the ambulatory use of the ARG algorithm is feasible, safe and effective, compared to the usual reatment. In addition, the InsuMate platform was intuitive and easy to use for both healthcare staff and participants of the trial, achieving an over 95% of time in closed-loop. | es_ES |
dc.description.abstract | [ES] En este trabajo se presenta la experiencia argentina en el problema de regulación de los niveles de glucosa en sangre para pacientes con Diabetes Mellitus Tipo 1 (insulino-dependientes), denominado Páncreas Artificial. El grupo de trabajo ha realizado 3 pruebas clínicas, las primeras en Latinoamérica. Las dos primeras fueron concretadas en 2016 y 2017, ambas en el Hospital Italiano con 5 pacientes adultos durante 36 hs. En la segunda de ellas se utilizó un nuevo algoritmo de control de lazo cerrado puro (sin bolo prandial), llamado ARG (Automatic Regulation of Glucose) y basado en un control LQG conmutado en combinación con la capa de seguridad SAFE (Safety Auxiliary Feedback Element), desarrollado por investigadores de nuestro equipo. Este año se llevó a cabo la primera prueba ambulatoria, realizada en un hotel con 5 pacientes durante 6 días en marzo de 2021. En esta tercera prueba además, se utilizó una plataforma desarrollada por la Universidad Nacional de La Plata (UNLP), denominada InsuMate. Ésta conecta el celular con la bomba de insulina y el monitor de glucosa, aloja el algoritmo de control y permite el monitoreo remoto de múltiples pacientes. Los resultados obtenidos sugieren que el uso del algoritmo ARG en forma ambulatoria es factible, seguro y eficaz en comparación con la terapia usual. Asimismo, la plataforma InsuMate resultó ser intuitiva y sencilla para los usuarios, tanto médicos como pacientes participantes del ensayo, logrando un tiempo de funcionamiento del lazo cerrado superior al 95 %. | es_ES |
dc.description.sponsorship | Este trabajo ha sido realizado parcialmente gracias al apoyo de las Fundaciones Cellex (España) y Nuria (Argentina), y el financiamiento de los proyectos PICT2017-3211, PICT2019-2554, UNLP/I253, CONICET/PIP2595 y COVID Federal BS AS 28 del gobierno argentino. | es_ES |
dc.language | Español | es_ES |
dc.publisher | Universitat Politècnica de València | es_ES |
dc.relation.ispartof | Revista Iberoamericana de Automática e Informática industrial | es_ES |
dc.rights | Reconocimiento - No comercial - Compartir igual (by-nc-sa) | es_ES |
dc.subject | Artificial pancreas | es_ES |
dc.subject | Clinical trials | es_ES |
dc.subject | Switched control | es_ES |
dc.subject | Páncreas artificial | es_ES |
dc.subject | Ensayos clínicos | es_ES |
dc.subject | Control conmutado | es_ES |
dc.title | Control no-híbrido de glucemia ensayado en pacientes ambulatorios con Diabetes Tipo 1 | es_ES |
dc.title.alternative | Non-hybrid glycemic control of type 1 diabetes ambulatory patients | es_ES |
dc.type | Artículo | es_ES |
dc.identifier.doi | 10.4995/riai.2022.16652 | |
dc.rights.accessRights | Abierto | es_ES |
dc.contributor.affiliation | Universitat Politècnica de València. Departamento de Ingeniería de Sistemas y Automática - Departament d'Enginyeria de Sistemes i Automàtica | es_ES |
dc.description.bibliographicCitation | Garelli, F.; Fushimi, E.; Rosales, N.; Arambarri, D.; Serafini, MC.; De Battista, H.; Grosembacher, LA.... (2022). Control no-híbrido de glucemia ensayado en pacientes ambulatorios con Diabetes Tipo 1. Revista Iberoamericana de Automática e Informática industrial. 19(3):318-329. https://doi.org/10.4995/riai.2022.16652 | es_ES |
dc.description.accrualMethod | OJS | es_ES |
dc.relation.publisherversion | https://doi.org/10.4995/riai.2022.16652 | es_ES |
dc.description.upvformatpinicio | 318 | es_ES |
dc.description.upvformatpfin | 329 | es_ES |
dc.type.version | info:eu-repo/semantics/publishedVersion | es_ES |
dc.description.volume | 19 | es_ES |
dc.description.issue | 3 | es_ES |
dc.identifier.eissn | 1697-7920 | |
dc.relation.pasarela | OJS\16652 | es_ES |
dc.contributor.funder | Consejo Nacional de Investigaciones Científicas y Técnicas, Argentina | es_ES |
dc.contributor.funder | Universidad Nacional de La Plata, Argentina | es_ES |
dc.contributor.funder | Fundación Cellex | es_ES |
dc.contributor.funder | Ministerio de Ciencia, Tecnología e Innovación Productiva, Argentina | es_ES |
dc.contributor.funder | Fundación Nuria | es_ES |
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