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Journal of Diabetes Science and Technology

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https://www.readbyqxmd.com/read/28707484/autoregressive-modeling-of-drift-and-random-error-to-characterize-a-continuous-intravascular-glucose-monitoring-sensor
#1
Tony Zhou, Jennifer L Dickson, J Geoffrey Chase
BACKGROUND: Continuous glucose monitoring (CGM) devices have been effective in managing diabetes and offer potential benefits for use in the intensive care unit (ICU). Use of CGM devices in the ICU has been limited, primarily due to the higher point accuracy errors over currently used traditional intermittent blood glucose (BG) measures. General models of CGM errors, including drift and random errors, are lacking, but would enable better design of protocols to utilize these devices. This article presents an autoregressive (AR) based modeling method that separately characterizes the drift and random noise of the GlySure CGM sensor (GlySure Limited, Oxfordshire, UK)...
July 1, 2017: Journal of Diabetes Science and Technology
https://www.readbyqxmd.com/read/28697625/effects-of-structured-versus-unstructured-self-monitoring-of-blood-glucose-on-glucose-control-in-patients-with-non-insulin-treated-type-2-diabetes-a-meta-analysis-of-randomized-controlled-trials
#2
Edoardo Mannucci, Alessandro Antenore, Francesco Giorgino, Marina Scavini
BACKGROUND: The use of self-monitoring of blood glucose (SMBG) in patients with non-insulin-treated type 2 diabetes is debated. Meta-analyses of randomized clinical trials (RCTs) suggest a small reduction of HbA1c in patients using SMBG, without considering potential confounders, such as SMBG regimen and use of SMBG data to adjust diabetes medications. METHODS: A meta-analysis was performed including RCTs in patients with non-insulin-treated type 2 diabetes, with an intervention of ≥24 weeks and HbA1c as the primary endpoint, to verify the effect of SMBG (vs no monitoring), structured SMBG (vs unstructured), and of SMBG-driven therapy adjustments...
July 1, 2017: Journal of Diabetes Science and Technology
https://www.readbyqxmd.com/read/28677417/evaluating-interventions-and-titrations-using-fasting-blood-glucose
#3
James M Minor, Leslie M Rickey, Richard M Bergenstal
A recent paper reported a computer coded glycation method ("in silico glycation") to monitor daily average glucose (AG) and associated A1c using the fasting readings of each patient. This letter discusses application to a patient.
July 1, 2017: Journal of Diabetes Science and Technology
https://www.readbyqxmd.com/read/28677416/manual-closed-loop-insulin-delivery-using-a-saddle-point-model-predictive-control-algorithm-results-of-a-crossover-randomized-overnight-study
#4
Isabelle Guilhem, Maxime Penet, Anaïs Paillard, Marc Carpentier, Annabelle Esvant, Marie-Anne Lefebvre, Jean-Yves Poirier
BACKGROUND: The purpose was to assess the efficacy of a new closed-loop algorithm (Saddle Point Model Predictive Control, SP-MPC) in achieving nocturnal normoglycemia while reducing the risk of hypoglycemia in patients with type 1 diabetes. METHOD: In this randomized crossover study, 10 adult patients (mean hemoglobin A1c 7.35 ± 1.04%) were assigned to be treated overnight by open loop using sensor-augmented pump therapy (open-loop SAP) or manual closed-loop delivery...
July 1, 2017: Journal of Diabetes Science and Technology
https://www.readbyqxmd.com/read/28677415/our-first-825-t2dm-patients-on-14-day-factory-calibrated-glucose-monitoring-system-clinical-utility-and-challenges
#5
Jothydev Kesavadev, Arun Shankar, Ashwin David Ashok, Sheeja Srinivas, Neethu Annie Ajai, Geethu Sanal, Gopika Krishnan, Lakshmy Ramachandran, Sunitha Jothydev
No abstract text is available yet for this article.
July 1, 2017: Journal of Diabetes Science and Technology
https://www.readbyqxmd.com/read/28677414/self-reported-compensation-techniques-for-carbohydrate-exercise-and-alcohol-behaviors-in-patients-with-type-1-diabetes-on-insulin-pump-therapy
#6
Danielle Groat, Hiral Soni, Maria Adela Grando, Bithika Thompson, Curtiss B Cook
Studies have found variability in self-care behaviors in patients with type 1 diabetes, particularly when incorporating exercise and alcohol consumption. The objective of this study was to provide results from a survey to understand (1) insulin pump behaviors, (2) reported self-management behaviors for exercise and alcohol, and (3) perceptions of the effects of exercise and alcohol on blood glucose (BG) control. Fourteen participants from an outpatient endocrinology practice were recruited and administered an electronic survey...
July 1, 2017: Journal of Diabetes Science and Technology
https://www.readbyqxmd.com/read/28681638/issues-and-ideas-in-bolus-advisor-research-with-commentary-on-a-methodology-to-compare-insulin-dosing-algorithms-in-real-life-settings
#7
John Walsh
The accompanying article by Groat et al in this issue presents a methodology to compare glucose outcomes from insulin bolus dose recommendations observed retrospectively from a novel iDecide bolus calculator with glucose outcomes from the prospective bolus recommendations provided by a current insulin pump. The methodology in this article evaluates a bolus calculator algorithm and also evaluates calculations for two additional lifestyle behaviors, exercise and alcohol intake, that are modifiable risk factors associated with diabetes...
June 1, 2017: Journal of Diabetes Science and Technology
https://www.readbyqxmd.com/read/28681637/persistence-with-oral-antihyperglycemic-drugs-in-type-2-diabetes-mellitus-patients-with-dementia-in-germany
#8
Louis Jacob, Leonie Adam-Schnepf, Karel Kostev
BACKGROUND: The aim of this study was to analyze the persistence with oral antihyperglycemic drugs in type 2 diabetes mellitus (T2DM) patients with dementia in Germany. METHODS: This study included adults with T2DM who were treated with oral antihyperglycemic drugs and were diagnosed with dementia in 1262 German general practices between January 2013 and December 2015 (index date). Dementia cases were matched (1:1) to controls without dementia by age, gender, type of practice, type of residence, physician, and initial antihyperglycemic therapy, using a propensity score method...
June 1, 2017: Journal of Diabetes Science and Technology
https://www.readbyqxmd.com/read/28660789/glycemic-control-with-early-initiation-of-continuous-glucose-monitoring-system-in-adults-with-recently-diagnosed-type-1a-diabetes
#9
Viral N Shah, Tyler L Gallo, Micaela Marker, Janet K Snell-Bergeon
No abstract text is available yet for this article.
June 1, 2017: Journal of Diabetes Science and Technology
https://www.readbyqxmd.com/read/28637358/comparative-simulation-study-of-glucose-control-methods-designed-for-use-in-the-intensive-care-unit-setting-via-a-novel-controller-scoring-metric
#10
Jeremy DeJournett, Leon DeJournett
BACKGROUND: Effective glucose control in the intensive care unit (ICU) setting has the potential to decrease morbidity and mortality rates and thereby decrease health care expenditures. To evaluate what constitutes effective glucose control, typically several metrics are reported, including time in range, time in mild and severe hypoglycemia, coefficient of variation, and others. To date, there is no one metric that combines all of these individual metrics to give a number indicative of overall performance...
June 1, 2017: Journal of Diabetes Science and Technology
https://www.readbyqxmd.com/read/28637356/-footsnap-a-new-mobile-application-for-standardizing-diabetic-foot-images
#11
Moi Hoon Yap, Katie E Chatwin, Choon-Ching Ng, Caroline A Abbott, Frank L Bowling, Satyan Rajbhandari, Andrew J M Boulton, Neil D Reeves
BACKGROUND: We describe the development of a new mobile app called "FootSnap," to standardize photographs of diabetic feet and test its reliability on different occasions and between different operators. METHODS: FootSnap was developed by a multidisciplinary team for use with the iPad. The plantar surface of 30 diabetic feet and 30 nondiabetic control feet were imaged using FootSnap on two separate occasions by two different operators. Reproducibility of foot images was determined using the Jaccard similarity index (JSI)...
June 1, 2017: Journal of Diabetes Science and Technology
https://www.readbyqxmd.com/read/28633541/the-development-of-a-glucose-dehydrogenase-3d-printed-glucose-sensor-a-proof-of-concept-study
#12
Anngela Adams, Aldin Malkoc, Jeffrey T La Belle
This work represents a preliminary proof-of-concept design and verification of a 3D-printed glucose biosensor. The proof of concept presented is the first example of glucose dehydrogenase sensor fabricated by a 3D-printer while maintaining similar features to current lab-industry standards. The sensor was verified to detect physiological glucose concentrations between 0 and 400 mg/dL with a linear coefficient as high as .97. This study showed that it was possible to use 3D-printed technology to create a biosensor sensitive to glucose detection...
June 1, 2017: Journal of Diabetes Science and Technology
https://www.readbyqxmd.com/read/28633537/extensive-assessment-of-blood-glucose-monitoring-during-postprandial-period-and-its-impact-on-closed-loop-performance
#13
Lyvia Biagi, Arthur Hirata Bertachi, Ignacio Conget, Carmen Quirós, Marga Giménez, F Javier Ampudia-Blasco, Paolo Rossetti, Jorge Bondia, Josep Vehí
BACKGROUND: Closed-loop (CL) systems aims to outperform usual treatments in blood glucose control and continuous glucose monitors (CGM) are a key component in such systems. Meals represents one of the main disturbances in blood glucose control, and postprandial period (PP) is a challenging situation for both CL system and CGM accuracy. METHODS: We performed an extensive analysis of sensor's performance by numerical accuracy and precision during PP, as well as its influence in blood glucose control under CL therapy...
June 1, 2017: Journal of Diabetes Science and Technology
https://www.readbyqxmd.com/read/28627257/toward-the-development-of-a-glucose-dehydrogenase-based-saliva-glucose-sensor-without-the-need-for-sample-preparation
#14
Chi Lin, Breanna Pratt, Mackenzie Honikel, Alaina Jenish, Bhavna Ramesh, Amnah Alkhan, Jeffrey T La Belle
BACKGROUND: Strict glycemic control is known to be a vital key in the management of diabetes mellitus (DM). However, traditional methods face limitations in their efficacy due to the pain and invasiveness of needle pricking which often discourages DM patients from performing the required number of tests per day. Saliva glucose (SG) sensing has long been considered a noninvasive alternative to blood glucose monitoring for diabetes management, however the sample preparation and sensor detection limit have been deemed as challenges to overcome...
June 1, 2017: Journal of Diabetes Science and Technology
https://www.readbyqxmd.com/read/28604065/using-radar-plots-to-demonstrate-the-accuracy-and-precision-of-6-blood-glucose-monitoring-systems
#15
Scott Pardo, Nancy Dunne, David A Simmons
BACKGROUND: Previously, fingertip capillary blood glucose measurements from the CONTOUR(®)NEXT (CN) blood glucose monitoring system (BGMS) and 5 other BGMSs were evaluated in comparison with measurements from a reference YSI glucose analyzer. Here, we use Radar Plots to graphically represent the accuracy and precision results from the previous study, including whether they met ISO 15197:2013 accuracy criteria. METHOD: A Radar Plot, a new method for capturing a distinct, single visualization of BGMS analytical performance, is a collection of concentric circles, each representing a particular magnitude of error...
June 1, 2017: Journal of Diabetes Science and Technology
https://www.readbyqxmd.com/read/28604064/bolus-insulin-dose-error-distributions-based-on-results-from-two-clinical-trials-comparing-blood-glucose-monitoring-systems
#16
Scott Pardo, Nancy Dunne, David A Simmons
BACKGROUND: In 2 previous clinical trials, fingertip capillary blood samples were evaluated using prespecified blood glucose monitoring systems (BGMSs) and a reference YSI glucose analyzer. In post hoc analyses, hypothetical insulin doses were calculated using these blood glucose measurements; dosing errors were compared for each trial. METHOD: For each blood glucose measurement, premeal bolus insulin dosing was determined for a hypothetical person, assuming a 60-g carbohydrate meal and 100-mg/dL target blood glucose level (adjusting 1/25 insulin sensitivity and 1/15 insulin:carbohydrate ratio inputs to account for BGMS measurement error)...
June 1, 2017: Journal of Diabetes Science and Technology
https://www.readbyqxmd.com/read/28587476/do-the-new-fda-guidance-documents-help-improving-performance-of-blood-glucose-monitoring-systems-compared-with-iso-15197
#17
Guido Freckmann, Annette Baumstark, Stefan Pleus
Recently, the Food and Drug Administration (FDA) published guidance documents for point-of-care testing (POCT) and over-the-counter (OTC) blood glucose monitoring systems (BGMS). These are expected to improve weaknesses of the already established ISO 15197:2013 standard accuracy evaluation for OTC BGMS; however, the proposed criteria and procedures rather raise new questions. As an example, the OTC guidance stipulates tighter accuracy criteria in the low glycemic range than the POCT guidance for no obvious reason...
June 1, 2017: Journal of Diabetes Science and Technology
https://www.readbyqxmd.com/read/28569077/diabetes-and-prediabetes-classification-using-glycemic-variability-indices-from-continuous-glucose-monitoring-data
#18
Giada Acciaroli, Giovanni Sparacino, Liisa Hakaste, Andrea Facchinetti, Giorgio Maria Di Nunzio, Alessandro Palombit, Tiinamaija Tuomi, Rafael Gabriel, Jaime Aranda, Saturio Vega, Claudio Cobelli
BACKGROUND: Tens of glycemic variability (GV) indices are available in the literature to characterize the dynamic properties of glucose concentration profiles from continuous glucose monitoring (CGM) sensors. However, how to exploit the plethora of GV indices for classifying subjects is still controversial. For instance, the basic problem of using GV indices to automatically determine if the subject is healthy rather than affected by impaired glucose tolerance (IGT) or type 2 diabetes (T2D), is still unaddressed...
May 1, 2017: Journal of Diabetes Science and Technology
https://www.readbyqxmd.com/read/28569076/clinical-impact-of-blood-glucose-monitoring-accuracy-an-in-silico-study
#19
Enrique Campos-Náñez, Kurt Fortwaengler, Marc D Breton
BACKGROUND: Patients with diabetes rely on blood glucose (BG) monitoring devices to manage their condition. As some self-monitoring devices are becoming more and more accurate, it becomes critical to understand the relationship between system accuracy and clinical outcomes, and the potential benefits of analytical accuracy. METHODS: We conducted a 30-day in-silico study in type 1 diabetes mellitus (T1DM) patients using continuous subcutaneous insulin infusion (CSII) therapy and a variety of BG meters, using the FDA-approved University of Virginia (UVA)/Padova Type 1 Simulator...
May 1, 2017: Journal of Diabetes Science and Technology
https://www.readbyqxmd.com/read/28560900/effect-of-bgm-accuracy-on-the-clinical-performance-of-cgm-an-in-silico-study
#20
Enrique Campos-Náñez, Marc D Breton
BACKGROUND: Standard management of type 1 diabetes (T1D) relies on blood glucose monitoring based on a range of technologies from self-monitoring of blood glucose (BGM) to continuous glucose monitoring (CGM). Even as CGM technology matures, patients utilize BGM for calibration and dosing. The question of how the accuracy of both technologies interact is still not well understood. METHODS: We use a recently developed data-driven simulation approach to characterize the relationship between CGM and BGM accuracy especially how BGM accuracy impacts CGM performance in four different use cases with increasing levels of reliance on twice daily calibrated CGM...
May 1, 2017: Journal of Diabetes Science and Technology
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