Integrating Multiple Inputs Into an Artificial Pancreas System: Narrative Literature Review.

BACKGROUND: Type 1 diabetes (T1D) is a chronic autoimmune disease in which a deficiency in insulin production impairs the glucose homeostasis of the body. Continuous subcutaneous infusion of insulin is a commonly used treatment method. Artificial pancreas systems (APS) use continuous glucose level monitoring and continuous subcutaneous infusion of insulin in a closed-loop mode incorporating a controller (or control algorithm). However, the operation of APS is challenging because of complexities arising during meals, exercise, stress, sleep, illnesses, glucose sensing and insulin action delays, and the cognitive burden. To overcome these challenges, options to augment APS through integration of additional inputs, creating multi-input APS (MAPS), are being investigated. OBJECTIVE: The aim of this survey is to identify and analyze input data, control architectures, and validation methods of MAPS to better understand the complexities and current state of such systems. This is expected to be valuable in developing improved systems to enhance the quality of life of people with T1D. METHODS: A literature survey was conducted using the Scopus, PubMed, and IEEE Xplore databases for the period January 1, 2005, to February 10, 2020. On the basis of the search criteria, 1092 articles were initially shortlisted, of which 11 (1.01%) were selected for an in-depth narrative analysis. In addition, 6 clinical studies associated with the selected studies were also analyzed. RESULTS: Signals such as heart rate, accelerometer readings, energy expenditure, and galvanic skin response captured by wearable devices were the most frequently used additional inputs. The use of invasive (blood or other body fluid analytes) inputs such as lactate and adrenaline were also simulated. These inputs were incorporated to switch the mode of the controller through activity detection, directly incorporated for decision-making and for the development of intermediate modules for the controller. The validation of the MAPS was carried out through the use of simulators based on different physiological models and clinical trials. CONCLUSIONS: The integration of additional physiological signals with continuous glucose level monitoring has the potential to optimize glucose control in people with T1D through addressing the identified limitations of APS. Most of the identified additional inputs are related to wearable devices. The rapid growth in wearable technologies can be seen as a key motivator regarding MAPS. However, it is important to further evaluate the practical complexities and psychosocial aspects associated with such systems in real life.

Do-It-Yourself Open Artificial Pancreas System in Children and Adolescents with Type 1 Diabetes Mellitus: Real-World Data.

Few studies have been conducted among Asian children and adolescents with type 1 diabetes mellitus (T1DM) using do-it-yourself artificial pancreas system (DIY-APS). We evaluated real-world data of pediatric T1DM patients using DIY-APS. Data were obtained for 10 patients using a DIY-APS with algorithms. We collected sensor glucose and insulin delivery data from each participant for a period of 4 weeks. Average glycosylated hemoglobin was 6.2%±0.3%. The mean percentage of time that glucose level remained in the target range of 70 to 180 mg/dL was 82.4%±7.8%. Other parameters including time above range, time below range and mean glucose were also within the recommended level, similar to previous commercial and DIY-APS studies. However, despite meeting the target range, unadjusted gaps were still observed between the median basal setting and temporary basal insulin, which should be handled by healthcare providers.

Current Advances of Artificial Pancreas Systems: A Comprehensive Review of the Clinical Evidence.

Since Banting and Best isolated insulin in the 1920s, dramatic progress has been made in the treatment of type 1 diabetes mellitus (T1DM). However, dose titration and timely injection to maintain optimal glycemic control are often challenging for T1DM patients and their families because they require frequent blood glucose checks. In recent years, technological advances in insulin pumps and continuous glucose monitoring systems have created paradigm shifts in T1DM care that are being extended to develop artificial pancreas systems (APSs). Numerous studies that demonstrate the superiority of glycemic control offered by APSs over those offered by conventional treatment are still being published, and rapid commercialization and use in actual practice have already begun. Given this rapid development, keeping up with the latest knowledge in an organized way is confusing for both patients and medical staff. Herein, we explore the history, clinical evidence, and current state of APSs, focusing on various development groups and the commercialization status. We also discuss APS development in groups outside the usual T1DM patients and the administration of adjunct agents, such as amylin analogues, in APSs.

Best Achievements in Clinical Medicine in Diabetes and Dyslipidemia in 2020.

Over the last two decades, our understanding of diabetes and treatment strategies have evolved tremendously, from scientific, mechanistic, and human perspectives. The categories of anti-diabetic medications expanded from a few to numerous, enabling clinicians to personalize diabetes care and treatment. Thanks to rapid growth in the field of science and medical engineering, newer treatment options are coming to the market with various advantages and disadvantages to be aware of. Therefore, clinicians should rapidly adopt new trends based on guidelines and data from many clinical trials in the field of diabetes. In the treatment of dyslipidemia, trends and guidelines are changing every year, and novel therapies are being developed. In this review, we would like to summarize the major achievements in clinical medicine in 2020 in the field of diabetes mellitus and dyslipidemia.

Desarrollo y Simulación de un Algoritmo de Control Automatizado para Insulinoterapia de Urgencias Hiperglucémicas en Diabetes / Development and Simulation of an Automated Control Algorithm for Insulin Therapy of Hyperglycemic Emergencies in Diabetes

Resumen El presente trabajo describe el desarrollo y simulación de un algoritmo para el control automático de la infusión de insulina en el manejo glucémico de pacientes con cetoacidosis diabética (CAD) y estado hiperosmolar hiperglucémico (EHH). Se programó un algoritmo que calcula la insulina necesaria para lograr un descenso glucémico de 50 mg/dL/h hasta llegar a glucemias de 250 mg/dL, para posteriormente mantenerlas en 220 mg/dL hasta la remisión de la patología. La simulación del software se realizó haciendo uso de registros glucémicos de 10 pacientes con CAD manejados en el Hospital Juárez de México. Los resultados de la simulación mostraron una incidencia 6 veces menor de hipoglucemias, así como un 33.7% menos de insulina necesaria dentro del tratamiento, sin diferencias entre los descensos medios de glucosa por hora de las mediciones reales y simuladas. Este software propone un uso innovador de los llamados páncreas artificiales al aplicarlos en urgencias hiperglucémicas, implementando además el uso de la sensibilidad a la insulina como variable para el funcionamiento de los mismos. Los resultados demuestran que el algoritmo podría ser capaz de lograr un manejo glucémico apegado a las guías de tratamiento, generando un menor gasto de insulina y evitando hipoglucemias durante la terapéutica, con una posible aplicación en dispositivos biomédicos autónomos.

Abstract This paper describes the development and simulation of an algorithm for the automatic control of insulin infusion, in the glycemic management of patients with diabetic ketoacidosis (CAD) and hyperglycemic hyperosmolar state (EHH). An algorithm was programmed to calculate the requirement insulin for a glycemic decrease of 50 mg/dL/h until reach 250 mg/dL in blood glucose levels, and thus maintaining it at 220 mg/dL until the pathology remission. The software simulation was performed using glycemic records of 10 patients with CAD managed in the Hospital Juárez de México. The results of the simulation showed a lower incidence of hypoglycemia, as well as a lower insulin requirement within the treatment, without differences in the average glucose decreases per hour between real and simulated measurements. This software proposes an innovative use of the artificial pancreas in hyperglycemic emergencies, and also implementing the use of insulin sensitivity as a variable for their function. The results show that the algorithm could be able to achieve glycemic management attached to the treatment guidelines, generating lower insulin expenditure and avoiding hypoglycemia during therapy, with a possible application in autonomous biomedical devices.

[New technologies in diabetes treatment]. / Neue Technologien in der Diabetestherapie.

Technological progress has led to numerous innovations in diagnostic and therapeutic applications in diabetes and will also improve the treatment of patients with diabetes in the future. The first commercially available hybrid closed-loop system has been available in the USA since 2016 and the next developmental step toward a fully automated artificial pancreas has been made. The automated control of the basal insulin secretion provides a stabilization of blood glucose with a reduction of hypoglycemia and improvement of long-term control as indicated by improved hemoglobin A1c levels. Although closed-loop systems are not yet officially available in Germany, patients with type 1 diabetes mellitus already benefit from a new generation of continuous glucose monitoring (CGM) systems. Apart from the increased accuracy these new devices can be used for up to 180 days and do not require daily calibration. This article provides a short overview of the innovations in CGM systems and the current status in the development of the artificial pancreas.

Blood glucose monitoring during aerobic and anaerobic physical exercise using a new artificial pancreas system. / Control de la glucemia durante el ejercicio físico aeróbico y anaeróbico mediante un nuevo sistema de páncreas artificial.

AIM: To assess an artificial pancreas system during aerobic (AeE) and anaerobic exercise (AnE). METHODS: A pilot clinical trial on five subjects with type 1 diabetes (4 males) aged 37±10.9 years, diabetes diagnosed 21.2±12.2 years before, insulin pump users, and with a mean HbA1c level of 7.8±0.5%. Every subject did three AeE and three AnE sessions. Blood glucose levels were monitored by the artificial pancreas system during exercise and up to four hours later. Before the start of exercise, 23g of carbohydrates were administered orally. RESULTS: The mean glucose level was 124.0±25.1mg/dL in the AeE studies and 152.1±34.1mg/dL in the AnE studies. Percent times in the different glucose ranges of 70-180, >180 and <70mg/dL were 89.8±18.6% and 75.9±27.6%; 7.7±18.4% and 23.2±28.0%; and 2.5±6.3% and 1.0±3.6% during the AeE and AnE sessions, respectively. Only six rescues with carbohydrates (15g) were required during the studies (4 in AeE and 2 in AnE). Total insulin dose during the five hours of the study was 3.1±1.0IU in the AeE studies and 3.5±1.3IU in the AnE studies. CONCLUSIONS: Blood glucose response to AeE and AnE exercise is different. The evaluated artificial pancreas system appeared to achieve effective and safe blood glucose control during exercise and up to four hours later. However, new control strategies that minimize patient intervention should be designed.

Automated blood glucose control in type 1 diabetes: A review of progress and challenges.

Since the 2000s, research teams worldwide have been working to develop closed-loop (CL) systems able to automatically control blood glucose (BG) levels in patients with type 1 diabetes. This emerging technology is known as artificial pancreas (AP), and its first commercial version just arrived in the market. The main objective of this paper is to present an extensive review of the clinical trials conducted since 2011, which tested various implementations of the AP for different durations under varying conditions. A comprehensive table that contains key information from the selected publications is provided, and the main challenges in AP development and the mitigation strategies used are discussed. The development timelines for different AP systems are also included, highlighting the main evolutions over the clinical trials for each system.

Bombas de insulina en diabetes tipo 2, del fundamento a la práctica / Pumps in Type 2 diabetes, from basics to practice

Resumen Las bombas de insulina han sido usadas por más de 35 años, principalmente en pacientes con diabetes tipo 1 y en menor medida en diabetes tipo 2. En esta última población hay una liberación más funcional de insulina, se puede prevenir el fenómeno de alba y mantener por más tiempo los niveles adecuados de glucemia. Las indicaciones de bomba en diabetes tipo 2 son poco claras, pero los que tal vez más se benefician son aquellos con historia de mal control metabólico, hipoglucemias severas o asintomáticas. El uso de esta tecnología durante la hospitalización ha sido difícil, principalmente por el desconocimiento del personal de salud en su uso; no obstante, se ha demostrado que es factible mantener a los pacientes en esta terapia mientras están hospitalizados, siempre y cuando se tenga un adecuado protocolo, disposición del personal y educación del paciente. El costo ha sido una de las cuestiones más controversiales con el uso de estos sistemas. Los análisis de costo-efectividad han encontrado una disminución del número de hipoglucemiantes orales, las visitas a urgencias y las dosis de insulina, llegando algunos a aseverar que en tres años podrían compensarse los costos.

Abstract Insulin pumps have been used for over 35 years, mostly in patients with type 1 diabetes and to a lesser extent in type 2 diabetes. The use of pumps in this population is supported by a more physiological release of insulin, prevention of the dawn phenomenon and enabling patients to achieve better glucose targets. Pump indications in type 2 diabetes are less clear than in patients with type 1, but perhaps those who benefit most, are patients with a history of significant glycemic excursions, severe or asymptomatic hypoglycemia. Pump management as inpatient has been limited by lack of personal knowledge, however it has been reported that it is feasible to keep patients who are using this technology to continue it while they are in the hospital provided that a suitable protocol has been standardized and the patient has enough knowledge. Costs have been one of the most controversial issues with the use of these technology, cost-effectiveness analysis have found that there is a decrease in the number of oral agents, emergency room visits and insulin doses, reaching some studies to conclude that three years could offset the pump cost.

Bombas de insulina (BI) / Insulin pumps (IP)

En la década pasada, el conocimiento sobre la historia natural y fisiopatogenia de la diabetes tipo 1 tuvo un importante crecimiento, particularmente en relación con predicción, heterogeneidad, patología pancreática y su epidemiología. Las mejoras tecnológicas específicamente en el desarrollo de bombas de insulina y sensores continuos de glucosa ayudan a los pacientes con diabetes tipo 1 en el desafío de la administración de insulina a largo plazo. A pesar de grandes inversiones sobre distintos aspectos de la enfermedad (financiación de proyectos, organizativos, educacionales, etc.) no existe hasta el momento la prevención ni la cura para la diabetes tipo 1, y sumado a esto la calidad sobre el manejo de la enfermedad es muy heterogéneo. Como el control glucémico mejora con un tratamiento intensificado (múltiples inyecciones de insulina), el número y frecuencia de eventos hipoglucémicos tienden a incrementarse. La hipoglucemia es generadora de cuadros de estrés, ansiedad y deterioro de la calidad de vida en los pacientes con diabetes. Una de las razones por las cuales existe gran dificultad de alcanzar los objetivos glucémicos en pacientes con diabetes tipo 1 es la variabilidad en la absorción de la insulina inyectada en forma subcutánea, la que conlleva mayor e impredecible variabilidad en la concentración glucémica y todo esto en general se relaciona con valores elevados de hemoglobina glicosilada e hipoglucemia. La terapia con bomba de insulina se inició hace más de 30 años con el objetivo de mejorar el control en pacientes con diabetes tipo 1. El objetivo de esta revisión es actualizar las herramientas tecnológicas en el tratamiento de la diabetes. (AU)

Over the past decade, knowledge of the pathogenesis and natural history of type 1 diabetes has grown substantially, particularly with regard to disease prediction and heterogeneity, pancreatic pathology, and epidemiology. Technological improvements in insulin pumps and continuous glucose monitors help patients with type 1 diabetes manage the challenge of lifelong insulin administration. Agents that show promise for averting debilitating disease-associated complications have also been identified. However, despite broad organisational, intellectual, and fiscal investments, no means for preventing or curing type 1 diabetes exists, and , globally, the quality of diabetes management remains uneven. As glycemic control improves with intensified insulin regimens, the frequency of hypoglycemia tends to increase. Hypoglycemia is the cause of considerable stress and anxiety, impaired well-being, and poor quality of life in patients with type diabetes. One reason for continued poor glycemic control in patients with type 1 diabetes is the erratic absorption and action of subcutaneously injected insulin, which lead to unpredictable swings in blood glucose concentrations, and those swings, in themselves, are associated with elevated glycated hemoglobin levels and hypoglycemia. Insulinpump therapy, or continuous subcutaneous insulin infusion, was introduced more than 30 years ago as a procedure for improving glycemic control in patients with type 1 diabetes. The primary goal is to perform an up date about the new technological tools in diabetes treatment. (AU)

Clinical experience with an implanted closed-loop insulin delivery system

AIM: To report the first clinical experience with a prototype of implanted artificial beta-cell. METHODS: The Long-Term Sensor System® project assessed the feasibility of glucose control by the combined implantation of a pump for peritoneal insulin delivery and a central intravenous glucose sensor, connected physically by a subcutaneous lead and functionally by PID algorithms. It was performed in 10 type 1 diabetic patients from 2000 to 2007. RESULTS: No harmful complication related to implants occurred. Insulin delivery was affected by iterative but reversible pump slowdowns due to insulin precipitation. Glucose measurement by the intravenous sensors correlated well with meter values (r = 0.83-0.93, with a mean absolute deviation of 16.5 percent) for an average duration of 9 months. Uploading of pump electronics by PID algorithms designed for closed-loop insulin delivery allowed in-patient 48 hourtrials. CONCLUSION: Although the concept of a fully implantable artificial beta-cell has been shown as feasible, improvements in the sensor structure to increase its longevity and decrease sensor delay that affected closed-loop control at meal-times are expected.

OBJETIVO: Relatar a primeira experiência clínica com um protótipo de célulabeta artificial implantável. MÉTODOS: O Projeto de Um Sistema Sensor de Longo Prazo avaliou a possibilidade do controle glicêmico através do implante combinado de uma bomba de infusão de insulina peritoneal e um gluco - sensor endovenoso central - conectados fisicamente por um dispositivo subcutâneo e funcionalmente por algoritmos PID (integral and derivative). Este projeto envolveu 10 pacientes com diabetes melito tipo 1 de 2000 a 2007. RESULTADOS: Complicações significativas relacionadas aos implantes não ocorreram. A liberação de insulina pela bomba sofreu o efeito de períodos de lentificação interativo, mas reversível, devido a precipitação do peptídeo. As medidas da glicose pelo sensor endovenoso mostraram boa correlação com os valores do glicosímetro (r = 0,83-0,93, com desvio médio absoluto de 16,5 por cento) durante período médio de 9 meses. Os dados para construção dos algoritmos PID do sistema de alça fechada de liberação de insulina foram obtidos a partir de 12 pacientes que permaneceram internados com esse sistema durante 48 horas com refeições que continham 40 a 70 g de carboidratos. CONCLUSÃO : Embora o conceito de uma célula-beta artificial totalmente implantável tenha demonstrado ser possível, aperfeiçoamentos são necessários na estrutura do sensor para aumentar a sua longevidade e no sistema de alça fechada de liberação de insulina para diminuir as lentificações que comprometem o controle glicêmico nos períodos relacionados às refeições.