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Journal of Diabetes Science and Technology

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https://www.readbyqxmd.com/read/27932531/development-of-type-2-diabetes-mellitus-phenotyping-framework-using-expert-knowledge-and-machine-learning-approach
#1
Rina Kagawa, Yoshimasa Kawazoe, Yusuke Ida, Emiko Shinohara, Katsuya Tanaka, Takeshi Imai, Kazuhiko Ohe
BACKGROUND: Phenotyping is an automated technique that can be used to distinguish patients based on electronic health records. To improve the quality of medical care and advance type 2 diabetes mellitus (T2DM) research, the demand for T2DM phenotyping has been increasing. Some existing phenotyping algorithms are not sufficiently accurate for screening or identifying clinical research subjects. OBJECTIVE: We propose a practical phenotyping framework using both expert knowledge and a machine learning approach to develop 2 phenotyping algorithms: one is for screening; the other is for identifying research subjects...
December 7, 2016: Journal of Diabetes Science and Technology
https://www.readbyqxmd.com/read/27923882/why-the-new-fda-glucose-meter-poct-guidance-is-disappointing
#2
LETTER
Jan S Krouwer
No abstract text is available yet for this article.
December 5, 2016: Journal of Diabetes Science and Technology
https://www.readbyqxmd.com/read/27920271/the-need-for-a-privacy-standard-for-medical-devices-that-transmit-protected-health-information-used-in-the-precision-medicine-initiative-for-diabetes-and-other-diseases
#3
David C Klonoff, W Nicholson Price
Privacy is an important concern for the Precision Medicine Initiative (PMI) because success of this initiative will require the public to be willing to participate by contributing large amounts of genetic/genomic information and sensor data. This sensitive personal information is intended to be used only for specified research purposes. Public willingness to participate will depend on the public's level of trust that their information will be protected and kept private. Medical devices may constantly provide information...
December 4, 2016: Journal of Diabetes Science and Technology
https://www.readbyqxmd.com/read/27920270/think-like-a-hacker-insights-on-the-latest-attack-vectors-and-security-controls-for-medical-device-applications
#4
Mandeep Khera
Ready or not, the Internet of things (IoT) is here. No longer just a buzz term, it'll continue to grow at an unprecedented pace over the next few years expecting to reach over 25 billion connected devices by 2020. History shows us that most fast growth technology solutions focus on solving business problems first and security is an afterthought. Unfortunately, IoT is following the same trend. Most IoT devices, apps, and infrastructure were developed without security in mind and are likely going to become targets of hackers...
December 4, 2016: Journal of Diabetes Science and Technology
https://www.readbyqxmd.com/read/27913660/pilots-and-diabetes-technology-functional-health
#5
EDITORIAL
Johan Jendle, Kurt Rinnert, Anton Westman, Lutz Heinemann
No abstract text is available yet for this article.
December 2, 2016: Journal of Diabetes Science and Technology
https://www.readbyqxmd.com/read/27898390/novel-concentrated-insulin-delivery-devices-developments-for-safe-and-simple-dose-conversions
#6
REVIEW
Jeremy L Johnson, Jessica M Downes, Cassandra K Obi, Nana B Asante
To aid the burden of large dosing volumes, concentrated insulin products have been available in some form since the 1950s, albeit requiring significant and cumbersome detail in prescribing, converting doses from other products, and educating patients on how to administer. In 2015 and 2016, new concentrated products have been introduced that are available exclusively in pen devices that perform the conversion automatically, and thus, help to bypass the necessity for confusing calculations or administration. Providers and patients accustomed to traditional methods must recognize the differences and utility of these products to avoid dosing errors, as there are major differences in dosing procedures as well as their role in clinical practice...
November 27, 2016: Journal of Diabetes Science and Technology
https://www.readbyqxmd.com/read/27898389/half-unit-insulin-pens-disease-management-in-patients-with-diabetes-who-are-sensitive-to-insulin
#7
REVIEW
David C Klonoff, Irina Nayberg, Udo Stauder, Hamid Oualali, Catherine Domenger
BACKGROUND: Insulin pens represent a significant technological advancement in diabetes management. While the vast majority have been designed with 1U-dosing increments, improved accuracy and precision facilitated by half-unit increments may be particularly significant in specific patients who are sensitive to insulin. These include patients with low insulin requirements and in those requiring more precise dose adjustments, such as the pediatric patient population. This review summarized functional characteristics of insulin half-unit pens (HUPs) and their effect on user experience...
November 27, 2016: Journal of Diabetes Science and Technology
https://www.readbyqxmd.com/read/27898388/impact-of-hba1c-testing-at-point-of-care-on-diabetes-management
#8
REVIEW
Oliver Schnell, J Benjamin Crocker, Jianping Weng
Diabetes is a highly prevalent disease also implicated in the development of several other serious complications like cardiovascular or renal disease. HbA1c testing is a vital step for effective diabetes management, however, given the low compliance to testing frequency and, commonly, a subsequent delay in the corresponding treatment modification, HbA1c at the point of care (POC) offers an opportunity for improvement of diabetes care. In this review, based on data from 1999 to 2016, we summarize the evidence supporting a further implementation of HbA1c testing at POC, discuss its limitations and propose recommendations for further development...
November 27, 2016: Journal of Diabetes Science and Technology
https://www.readbyqxmd.com/read/27872168/accurate-carbohydrate-counting-is-an-important-determinant-of-postprandial-glycemia-in-children-and-adolescents-with-type-1-diabetes-on-insulin-pump-therapy
#9
Asma Deeb, Ahlam Al Hajeri, Iman Alhmoudi, Nico Nagelkerke
BACKGROUND: Carbohydrate (CHO) counting is a key nutritional intervention utilized in the management of diabetes to optimize postprandial glycemia. The aim of the study was to examine the impact of accuracy of CHO counting on the postprandial glucose in children and adolescents with type 1 diabetes on insulin pump therapy. METHODS: Children/adolescents with type 1 diabetes who were on insulin pump therapy for a minimum of 6 months are enrolled in the study. Patients were instructed to record details of meals consumed, estimated CHO count per meal, and 2-hour postprandial glucose readings over 3-5 days...
November 20, 2016: Journal of Diabetes Science and Technology
https://www.readbyqxmd.com/read/27837162/sensor-life-and-overnight-closed-loop-a-randomized-clinical-trial
#10
Martin Tauschmann, Janet M Allen, Malgorzata E Wilinska, Yue Ruan, Hood Thabit, Carlo L Acerini, David B Dunger, Roman Hovorka
BACKGROUND: Closed-loop (CL) systems direct insulin delivery based on continuous glucose monitor (CGM) sensor values. CGM accuracy varies with sensor life, being least accurate on day 1 of sensor insertion. We evaluated the effect of sensor life (enhanced Enlite, Medtronic MiniMed, Northridge, CA) on overnight CL. METHODS: In an open-label, randomized, 2-period, inpatient crossover pilot study, 12 adolescents on insulin pump (age 16.7 ± 1.9 years; HbA1c 66 ± 10 mmol/mol) attended a clinical research facility on 2 overnight occasions...
November 10, 2016: Journal of Diabetes Science and Technology
https://www.readbyqxmd.com/read/27837161/design-of-hack-resistant-diabetes-devices-and-disclosure-of-their-cyber-safety
#11
Jonathan Sackner-Bernstein
BACKGROUND: The focus of the medical device industry and regulatory bodies on cyber security parallels that in other industries, primarily on risk assessment and user education as well as the recognition and response to infiltration. However, transparency of the safety of marketed devices is lacking and developers are not embracing optimal design practices with new devices. ACHIEVING CYBER SAFE DIABETES DEVICES: To improve understanding of cyber safety by clinicians and patients, and inform decision making on use practices of medical devices requires disclosure by device manufacturers of the results of their cyber security testing...
November 10, 2016: Journal of Diabetes Science and Technology
https://www.readbyqxmd.com/read/27810995/a-mobile-computerized-decision-support-system-to-prevent-hypoglycemia-in-hospitalized-patients-with-type-2-diabetes-mellitus-lessons-learned-from-a-clinical-feasibility-study
#12
Stephan Spat, Klaus Donsa, Peter Beck, Bernhard Höll, Julia K Mader, Lukas Schaupp, Thomas Augustin, Franco Chiarugi, Katharina M Lichtenegger, Johannes Plank, Thomas R Pieber
BACKGROUND: Diabetes management requires complex and interdisciplinary cooperation of health care professionals (HCPs). To support this complex process, IT-support is recommended by clinical guidelines. The aim of this article is to report on results from a clinical feasibility study testing the prototype of a mobile, tablet-based client-server system for computerized decision and workflow support (GlucoTab®) and to discuss its impact on hypoglycemia prevention. METHODS: The system was tested in a monocentric, open, noncontrolled intervention study in 30 patients with type 2 diabetes mellitus (T2DM)...
November 2, 2016: Journal of Diabetes Science and Technology
https://www.readbyqxmd.com/read/27807015/long-term-adherence-to-automated-bolus-calculators
#13
LETTER
Signe Schmidt, Kirsten Nørgaard, Kirsten Neergaard, Thomas Almdal, Eva E Hommel
No abstract text is available yet for this article.
November 1, 2016: Journal of Diabetes Science and Technology
https://www.readbyqxmd.com/read/27807014/continuous-glucose-monitoring-cgm-adherence-in-youth-with-type-1-diabetes-associations-with-biomedical-and-psychosocial-variables
#14
Elisa Giani, Rebecca Snelgrove, Lisa K Volkening, Lori M Laffel
BACKGROUND: Continuous glucose monitoring (CGM) remains underutilized in youth with type 1 diabetes (T1D). There is a need to investigate factors associated with CGM use. METHOD: In 61 T1D youth, CGM use was ascertained by downloads reflecting the 4-week periods preceding 3- and 6-month study visits. Demographic and clinical data were obtained from chart review and interview. Youth and parents completed validated psychosocial surveys at baseline and 6 months. RESULTS: Youth (52% male, 93% Caucasian, 80% pump treated) were 12...
November 1, 2016: Journal of Diabetes Science and Technology
https://www.readbyqxmd.com/read/27784830/accuracy-evaluation-of-one-glucose-monitoring-system-following-iso-15197-2013-standards
#15
LETTER
Kyungso Jeon, Miseon Shin
No abstract text is available yet for this article.
October 26, 2016: Journal of Diabetes Science and Technology
https://www.readbyqxmd.com/read/27784829/coordination-or-collision-the-intersection-of-diabetes-care-cybersecurity-and-cloud-based-computing
#16
Scott Thiel, Jennifer Mitchell, Jim Williams
Diagnosis and treatment of diabetes changed little from the Middle Ages through the early 19th century, when the first chemical test for the condition was developed. In the 20th century, advances in diabetes management gained momentum with home-use diagnostic devices and mass-produced insulin. In the 21st century, technological developments around diabetes are advancing so rapidly that a small, discrete system of medical devices that serve as an artificial pancreas are now possible. In this article, we assert that medical device interoperability and cyber security are necessary preconditions for safe, effective, and reliable widespread use of the artificial pancreas system...
October 26, 2016: Journal of Diabetes Science and Technology
https://www.readbyqxmd.com/read/27777371/ambulatory-glucose-profile-applied-to-flash-glucose-monitoring-in-real-life-an-expert-opinion
#17
Alberto Maran, Katherine Esposito, Sofia Toni, Carla Giordano
No abstract text is available yet for this article.
October 24, 2016: Journal of Diabetes Science and Technology
https://www.readbyqxmd.com/read/27660190/glycemic-control-indices-and-their-aggregation-in-the-prediction-of-nocturnal-hypoglycemia-from-intermittent-blood-glucose-measurements
#18
Sivananthan Sampath, Pavlo Tkachenko, Eric Renard, Sergei V Pereverzev
BACKGROUND: Despite the risk associated with nocturnal hypoglycemia (NH) there are only a few methods aiming at the prediction of such events based on intermittent blood glucose monitoring data. One of the first methods that potentially can be used for NH prediction is based on the low blood glucose index (LBGI) and suggested, for example, in Accu-Chek® Connect as a hypoglycemia risk indicator. On the other hand, nowadays there are other glucose control indices (GCI), which could be used for NH prediction in the same spirit as LBGI...
November 2016: Journal of Diabetes Science and Technology
https://www.readbyqxmd.com/read/27651425/long-term-prediction-of-severe-hypoglycemia-in-type-1-diabetes-is-it-really-possible
#19
Marie Moth Henriksen, Louise Færch, Birger Thorsteinsson, Ulrik Pedersen-Bjergaard
BACKGROUND: Prediction of risk of severe hypoglycemia (SH) in patients with type 1 diabetes is important to prevent future episodes, but it is unknown if it is possible to predict the long-term risk of SH. The aim of the study is to assess if long-term prediction of SH is possible in type 1 diabetes. METHODS: A follow-up study was performed with 98 patients with type 1 diabetes. At baseline and at follow-up, the patients filled in a questionnaire about diabetes history and complications, number of SH in the preceding year and state of awareness, and HbA1c and C-peptide levels were measured...
November 2016: Journal of Diabetes Science and Technology
https://www.readbyqxmd.com/read/27621142/early-detection-of-infusion-set-failure-during-insulin-pump-therapy-in-type-1-diabetes
#20
Marzia Cescon, Daniel J DeSalvo, Trang T Ly, David M Maahs, Laurel H Messer, Bruce A Buckingham, Francis J Doyle, Eyal Dassau
BACKGROUND: Insulin infusion set failure resulting in prolonged hyperglycemia or diabetic ketoacidosis can occur with pump therapy in type 1 diabetes. Set failures are frequently characterized by variable and unpredictable patterns of increasing glucose values despite increased insulin infusion. Early detection may minimize the risk of prolonged hyperglycemia, an important consideration for automated insulin delivery and closed-loop applications. METHODS: A novel algorithm designed to alert the patient to the onset of infusion set failure was developed based upon continuous glucose sensor values and insulin delivered from an insulin pump...
November 2016: Journal of Diabetes Science and Technology
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