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dc.contributor.author
Sanchez Peña, Ricardo Salvador  
dc.contributor.author
Colmegna, Patricio Hernán  
dc.contributor.author
Garelli, Fabricio  
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de Battista, Hernán  
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García Violini, Diego Demián  
dc.contributor.author
Moscoso Vásquez, Hilda Marcela  
dc.contributor.author
Rosales, Nicolás  
dc.contributor.author
Fushimi, Emilia  
dc.contributor.author
Campos-Náñez, Enrique  
dc.contributor.author
Breton, Marc  
dc.contributor.author
Beruto, Valeria  
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Scibona, Paula  
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Rodriguez, Cintia  
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Giunta, Javier  
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Simonovich, Ventura  
dc.contributor.author
Belloso, Waldo Horacio  
dc.contributor.author
Cherñavvsky, Daniel  
dc.contributor.author
Grosembacher, Luis  
dc.date.available
2019-10-16T20:33:52Z  
dc.date.issued
2018-09  
dc.identifier.citation
Sanchez Peña, Ricardo Salvador; Colmegna, Patricio Hernán; Garelli, Fabricio; de Battista, Hernán; García Violini, Diego Demián; et al.; Artificial Pancreas: Clinical Study in Latin America Without Premeal Insulin Boluses; SAGE Publications; Journal of Diabetes Science and Technology; 12; 5; 9-2018; 914-925  
dc.identifier.issn
1932-2968  
dc.identifier.uri
http://hdl.handle.net/11336/86091  
dc.description.abstract
Background: Emerging therapies such as closed-loop (CL) glucose control, also known as artificial pancreas (AP) systems, have shown significant improvement in type 1 diabetes mellitus (T1DM) management. However, demanding patient intervention is still required, particularly at meal times. To reduce treatment burden, the automatic regulation of glucose (ARG) algorithm mitigates postprandial glucose excursions without feedforward insulin boluses. This work assesses feasibility of this new strategy in a clinical trial. Methods: A 36-hour pilot study was performed on five T1DM subjects to validate the ARG algorithm. Subjects wore a subcutaneous continuous glucose monitor (CGM) and an insulin pump. Insulin delivery was solely commanded by the ARG algorithm, without premeal insulin boluses. This was the first clinical trial in Latin America to validate an AP controller. Results: For the total 36-hour period, results were as follows: average time of CGM readings in range 70-250 mg/dl: 88.6%, in range 70-180 mg/dl: 74.7%, <70 mg/dl: 5.8%, and <50 mg/dl: 0.8%. Results improved analyzing the final 15-hour period of this trial. In that case, the time spent in range was 70-250 mg/dl: 94.7%, in range 70-180 mg/dl: 82.6%, <70 mg/dl: 4.1%, and <50 mg/dl: 0.2%. During the last night the time spent in range was 70-250 mg/dl: 95%, in range 70-180 mg/dl: 87.7%, <70 mg/dl: 5.0%, and <50 mg/dl: 0.0%. No severe hypoglycemia occurred. No serious adverse events were reported. Conclusions: The ARG algorithm was successfully validated in a pilot clinical trial, encouraging further tests with a larger number of patients and in outpatient settings.  
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application/pdf  
dc.language.iso
eng  
dc.publisher
SAGE Publications  
dc.rights
info:eu-repo/semantics/openAccess  
dc.rights.uri
https://creativecommons.org/licenses/by-nc-sa/2.5/ar/  
dc.subject
ARTIFICIAL PANCREAS  
dc.subject
CARBOHYDRATE COUNTING  
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CLINICAL TRIAL  
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SLIDING MODE CONTROL  
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SWITCHED CONTROL  
dc.subject.classification
Sistemas de Automatización y Control  
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Ingeniería Eléctrica, Ingeniería Electrónica e Ingeniería de la Información  
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INGENIERÍAS Y TECNOLOGÍAS  
dc.title
Artificial Pancreas: Clinical Study in Latin America Without Premeal Insulin Boluses  
dc.type
info:eu-repo/semantics/article  
dc.type
info:ar-repo/semantics/artículo  
dc.type
info:eu-repo/semantics/publishedVersion  
dc.date.updated
2019-10-08T13:19:05Z  
dc.journal.volume
12  
dc.journal.number
5  
dc.journal.pagination
914-925  
dc.journal.pais
Estados Unidos  
dc.description.fil
Fil: Sanchez Peña, Ricardo Salvador. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina. Instituto Tecnológico de Buenos Aires; Argentina  
dc.description.fil
Fil: Colmegna, Patricio Hernán. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina. Universidad Nacional de Quilmes; Argentina. University of Virginia; Estados Unidos  
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Fil: Garelli, Fabricio. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina. Universidad Nacional de La Plata; Argentina  
dc.description.fil
Fil: de Battista, Hernán. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina. Universidad Nacional de La Plata; Argentina  
dc.description.fil
Fil: García Violini, Diego Demián. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina. Instituto Tecnológico de Buenos Aires; Argentina  
dc.description.fil
Fil: Moscoso Vásquez, Hilda Marcela. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina. Instituto Tecnológico de Buenos Aires; Argentina  
dc.description.fil
Fil: Rosales, Nicolás. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina. Universidad Nacional de La Plata; Argentina  
dc.description.fil
Fil: Fushimi, Emilia. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina. Universidad Nacional de La Plata; Argentina  
dc.description.fil
Fil: Campos-Náñez, Enrique. Typezero Technologies; Estados Unidos  
dc.description.fil
Fil: Breton, Marc. University of Virginia; Estados Unidos  
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Fil: Beruto, Valeria. Hospital Italiano; Argentina  
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Fil: Scibona, Paula. Hospital Italiano; Argentina  
dc.description.fil
Fil: Rodriguez, Cintia. Hospital Italiano; Argentina  
dc.description.fil
Fil: Giunta, Javier. Hospital Italiano; Argentina  
dc.description.fil
Fil: Simonovich, Ventura. Hospital Italiano; Argentina  
dc.description.fil
Fil: Belloso, Waldo Horacio. Hospital Italiano; Argentina  
dc.description.fil
Fil: Cherñavvsky, Daniel. Hospital Italiano; Argentina  
dc.description.fil
Fil: Grosembacher, Luis. Hospital Italiano; Argentina  
dc.journal.title
Journal of Diabetes Science and Technology  
dc.relation.alternativeid
info:eu-repo/semantics/altIdentifier/url/http://journals.sagepub.com/doi/10.1177/1932296818786488  
dc.relation.alternativeid
info:eu-repo/semantics/altIdentifier/doi/https://doi.org/10.1177/1932296818786488