26 research outputs found

    Technology in the management of type 2 diabetes: Present status and future prospects

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    Funder: This research was funded by the National Institute of Health Research (NIHR) Cambridge Biomedical Research Centre and Wellcome Strategic Award (100574/Z/12/Z). The views expressed are those of the author(s) and not necessarily those of the NIHR or the Department of Health and Social Care.Abstract: The growing incidence of type 2 diabetes (T2D) is a significant health concern, representing 90% of diabetes cases worldwide. As the disease progresses, resultant insulin deficiency and hyperglycaemia necessitates insulin therapy in many cases. It has been recognized that a significant number of people who have a clinical requirement for insulin therapy, as well as their healthcare professionals, are reluctant to intensify treatment with insulin due to fear of hypoglycaemia, poor understanding of treatment regimens or lack of engagement, and are therefore at higher risk of developing complications from poor glycaemic control. Over the past decade, the rise of diabetes technologies, including dosing advisors, continuous glucose monitoring systems, insulin pumps and automated insulin delivery systems, has led to great improvements in the therapies available, particularly to those requiring insulin. Although the focus has largely been on delivering these therapies to the type 1 diabetes population, it is becoming increasingly recognized that people with T2D face similar challenges to achieve recommended glycaemic standards and also have the potential to benefit from these advances. In this review, we discuss diabetes technologies that are currently available for people with T2D and the evidence supporting their use, as well as future prospects. We conclude that there is a clinical need to extend the use of these technologies to the T2D population to curb the consequences of suboptimal disease management in this group

    Fully automated closed-loop glucose control compared with standard insulin therapy in adults with type 2 diabetes requiring dialysis: an open-label, randomized crossover trial

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    Funder: CB was supported by a grant from The Novo Nordisk UK Research FoundationFunder: LB was supported by a grant of the Swiss Society for Endocrinology and a grant of the Diabetes and Swiss Kidney Foundation.Funder: Supported by National Institute for Health Research Cambridge Biomedical Research Centre.Abstract: We evaluated the safety and efficacy of fully closed-loop insulin therapy compared with standard insulin therapy in adults with type 2 diabetes requiring dialysis. In an open-label, multinational, two-center, randomized crossover trial, 26 adults with type 2 diabetes requiring dialysis (17 men, 9 women, average age 68 ± 11 years (mean ± s.d.), diabetes duration of 20 ± 10 years) underwent two 20-day periods of unrestricted living, comparing the Cambridge fully closed-loop system using faster insulin aspart (‘closed-loop’) with standard insulin therapy and a masked continuous glucose monitor (‘control’) in random order. The primary endpoint was time in target glucose range (5.6–10.0 mmol l−1). Thirteen participants received closed-loop first and thirteen received control therapy first. The proportion of time in target glucose range (5.6–10.0 mmol l−1; primary endpoint) was 52.8 ± 12.5% with closed-loop versus 37.7 ± 20.5% with control; mean difference, 15.1 percentage points (95% CI 8.0–22.2; P < 0.001). Mean glucose was lower with closed-loop than control (10.1 ± 1.3 versus 11.6 ± 2.8 mmol l−1; P = 0.003). Time in hypoglycemia (<3.9 mmol l−1) was reduced with closed-loop versus control (median (IQR) 0.1 (0.0–0.4%) versus 0.2 (0.0–0.9%); P = 0.040). No severe hypoglycemia events occurred during the control period, whereas one severe hypoglycemic event occurred during the closed-loop period, but not during closed-loop operation. Fully closed-loop improved glucose control and reduced hypoglycemia compared with standard insulin therapy in adult outpatients with type 2 diabetes requiring dialysis. The trial registration number is NCT04025775

    Day‐to‐day variability of insulin requirements in the inpatient setting: Observations during fully closed‐loop insulin delivery

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    Funder: and the Swiss Diabetes FoundationAbstract: The aim of this study was to characterize the variability of exogenous insulin requirements during fully closed‐loop insulin delivery in hospitalized patients with type 2 diabetes or new‐onset hyperglycaemia, and to determine patient‐related characteristics associated with higher variability of insulin requirements. We retrospectively analysed data from two fully closed‐loop inpatient studies involving adults with type 2 diabetes or new‐onset hyperglycaemia requiring insulin therapy. The coefficient of variation quantified day‐to‐day variability of exogenous insulin requirements during up to 15 days using fully automated closed‐loop insulin delivery. Data from 535 days in 67 participants were analysed. The coefficient of variation of day‐to‐day exogenous insulin requirements was 30% ± 16%, and was higher between nights than between any daytime period (56% ± 29% overnight [11:00 pm to 4:59 am] compared with 41% ± 21% in the morning [5:00 am to 10:59 am], 39% ± 15% in the afternoon [11:00 am to 4:59 pm] and 45% ± 19% during the evening [5:00 pm to 10:59 pm]; all P < 0.01). There is high day‐to‐day variability of exogenous insulin requirements in inpatients, particularly overnight, and diabetes management approaches should account for this variability

    Day-to-day variability of insulin requirements in the inpatient setting: observations during fully closed-loop insulin delivery.

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    OBJECTIVE To characterise variability of exogenous insulin requirements during fully closed-loop insulin delivery in hospitalised patients with type 2 diabetes (T2D) or new-onset hyperglycaemia, and to determine patient-related characteristics associated with higher variability of insulin requirements. RESEARCH DESIGN AND METHODS We retrospectively analysed data from two fully closed-loop inpatient studies involving adults with T2D or new-onset hyperglycaemia requiring insulin therapy. The coefficient of variation quantified day-to-day variability of exogenous insulin requirements during up to 15 days using fully automated closed-loop insulin delivery. RESULTS Data from 535 days in 67 participants were analysed. The coefficient of variation of day-to-day exogenous insulin requirements was 30±16% and was higher between nights than between any daytime period (56±29% overnight [2300-0459] compared with 41±21% in the morning [0500-1059], 39±15% in the afternoon [1100-1659] and 45±19% during the evening [1700-2259]; all p<0.01). CONCLUSIONS There is high day-to-day variability of exogenous insulin requirements in inpatients, particularly overnight, and diabetes management approaches should account for this variability. This article is protected by copyright. All rights reserved

    Publisher Correction: Fully automated closed-loop glucose control compared with standard insulin therapy in adults with type 2 diabetes requiring dialysis: an open-label, randomized crossover trial.

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    Any future space debris removal or on-orbit servicing mission faces the problem of the initial relative orbit determination of the servicing satellite to the non-cooperative target. In this work we analyze the relative navigation accuracy that can be achieved in low Earth orbit, by using ground-based orbit determination from radar tracking measurements for the target, and classical GPS-based orbit determination for the servicing satellite. The analysis is based on the radar tracking measurements obtained from a 10x10x34 cm small object at an altitude of 635 km. The results show that the relative orbit can be determined with accuracy down to 2 m (RMS) in the semi-major axis, and down to 20 m (RMS) in both the radial and normal separations. From the results we derive requirements on radar-tracking campaigns
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