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Journal of Diabetes Science and Technology

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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
#1
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
#2
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
#3
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
#4
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
#5
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
#6
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
#7
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
#8
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
#9
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
#10
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
#11
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
https://www.readbyqxmd.com/read/28560899/shared-electronic-health-record-systems-key-legal-and-security-challenges
#12
Ellen K Christiansen, Eva Skipenes, Marie F Hausken, Svein Skeie, Truls Østbye, Marjolein M Iversen
Use of shared electronic health records opens a whole range of new possibilities for flexible and fruitful cooperation among health personnel in different health institutions, to the benefit of the patients. There are, however, unsolved legal and security challenges. The overall aim of this article is to highlight legal and security challenges that should be considered before using shared electronic cooperation platforms and health record systems to avoid legal and security "surprises" subsequent to the implementation...
May 1, 2017: Journal of Diabetes Science and Technology
https://www.readbyqxmd.com/read/28560898/a-systematic-review-of-reviews-evaluating-technology-enabled-diabetes-self-management-education-and-support
#13
Deborah A Greenwood, Perry M Gee, Kathy J Fatkin, Malinda Peeples
BACKGROUND: Since the introduction of mobile phones, technology has been increasingly used to enable diabetes self-management education and support. This timely systematic review summarizes how currently available technology impacts outcomes for people living with diabetes. METHODS: A systematic review of high quality review articles and meta analyses focused on utilizing technology in diabetes self-management education and support services was conducted. Articles were included if published between January 2013 and January 2017...
May 1, 2017: Journal of Diabetes Science and Technology
https://www.readbyqxmd.com/read/28560897/fructosamine-a-negative-acute-phase-reactant
#14
Elizabeth Garman, Andrew J Chadburn, Raad Abbas, Anu Modupe, Osmond L Thomas, Sanjiv Chugh, Shreeram Deshpande, Clare Ford, Rousseau Gama
No abstract text is available yet for this article.
May 1, 2017: Journal of Diabetes Science and Technology
https://www.readbyqxmd.com/read/28539088/prescription-patterns-and-disease-control-in-type-2-diabetes-mellitus-patients-in-nursing-home-and-home-care-settings-a-retrospective-analysis-in-germany
#15
Karel Kostev, Timo Rockel, Louis Jacob
AIM: The aim of this study was to analyze prescription patterns and disease control in patients with type 2 diabetes mellitus (T2DM) in nursing home and home care settings in Germany. METHODS: The present study is based on data from the Disease Analyzer database (QuintilesIMS). Patients with an initial diagnosis of T2DM and documented HbA1c values between January 2011 and December 2015 were included in the analysis. The index date corresponded to the last documented HbA1c value...
May 1, 2017: Journal of Diabetes Science and Technology
https://www.readbyqxmd.com/read/28539087/artificial-intelligence-methodologies-and-their-application-to-diabetes
#16
Mercedes Rigla, Gema García-Sáez, Belén Pons, Maria Elena Hernando
In the past decade diabetes management has been transformed by the addition of continuous glucose monitoring and insulin pump data. More recently, a wide variety of functions and physiologic variables, such as heart rate, hours of sleep, number of steps walked and movement, have been available through wristbands or watches. New data, hydration, geolocation, and barometric pressure, among others, will be incorporated in the future. All these parameters, when analyzed, can be helpful for patients and doctors' decision support...
May 1, 2017: Journal of Diabetes Science and Technology
https://www.readbyqxmd.com/read/28539086/exploring-the-effectiveness-of-smart-technologies-in-the-management-of-type-2-diabetes-mellitus
#17
Andrea Coda, Dean Sculley, Derek Santos, Xavier Girones, Shamasunder Acharya
The global epidemic of diabetes, with increasing prevalence of type 2 diabetes (T2D), is placing a huge burden on health care management and financial systems. Unless new strategic solutions are developed, the increasing prevalence of T2D will result in a significant rise in morbidity, health care costs, and complications associated with diabetes. The introduction of smart devices in diabetes management may provide meaningful improvements in clinical outcomes, patient engagement, as well as potential cost reductions for the health care system...
May 1, 2017: Journal of Diabetes Science and Technology
https://www.readbyqxmd.com/read/28513212/an-optical-fiber-based-smart-textile-smart-socks-to-manage-biomechanical-risk-factors-associated-with-diabetic-foot-amputation
#18
Bijan Najafi, Hooman Mohseni, Gurtej S Grewal, Talal K Talal, Robert A Menzies, David G Armstrong
OBJECTIVE: This study aimed to validate a smart-textile based on fiber-optics for simultaneous measurement of plantar temperature, pressure, and joint angles in patients with diabetic peripheral neuropathy (DPN). METHODS: After in-vitro validation in the laboratory, 33 eligible subjects with DPN were recruited (age: 58 ± 8 years, BMI: 31.5 ± 8 kg/m(2)) for assessing plantar pressure and temperature during habitual gait-speed in a clinical-setting. All participants were asked to walk at their habitual speed while wearing a pair of sensorized socks made from highly flexible fiber optics (SmartSox)...
May 1, 2017: Journal of Diabetes Science and Technology
https://www.readbyqxmd.com/read/28506190/comparison-of-blood-glucose-monitoring-systems-for-use-in-insulin-clamp-studies-during-either-intralipid-or-glycerol-co-infusions
#19
Jonathan Q Purnell, Julie Martin, Melanie Gillingham
No abstract text is available yet for this article.
May 1, 2017: Journal of Diabetes Science and Technology
https://www.readbyqxmd.com/read/28494618/machine-learning-methods-to-predict-diabetes-complications
#20
Arianna Dagliati, Simone Marini, Lucia Sacchi, Giulia Cogni, Marsida Teliti, Valentina Tibollo, Pasquale De Cata, Luca Chiovato, Riccardo Bellazzi
One of the areas where Artificial Intelligence is having more impact is machine learning, which develops algorithms able to learn patterns and decision rules from data. Machine learning algorithms have been embedded into data mining pipelines, which can combine them with classical statistical strategies, to extract knowledge from data. Within the EU-funded MOSAIC project, a data mining pipeline has been used to derive a set of predictive models of type 2 diabetes mellitus (T2DM) complications based on electronic health record data of nearly one thousand patients...
May 1, 2017: Journal of Diabetes Science and Technology
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