journal
MENU ▼
Read by QxMD icon Read
search

Journal of Diabetes Science and Technology

journal
https://www.readbyqxmd.com/read/28905660/analysis-of-seven-year-surveillance-of-the-clinical-performance-of-a-blood-glucose-test-strip-product
#1
Jan S Krouwer
The article titled "Seven Year Surveillance of the Clinical Performance of a Blood Glucose Test-Strip Product" by Setford and coworkers in this issue of Journal of Diabetes Science and Technology is an impressive study showing that over 7 years in three clinics, using multiple reagent lots, a total of 73 600 samples met the ISO 15197 2015 standard with no results in the D or E zones of a Parkes glucose meter error grid. Three requirements are suggested for a clinically acceptable glucose meter. The authors provide strong evidence for meeting two requirements but fail to provide summarized data about the number of nonnumeric results...
September 1, 2017: Journal of Diabetes Science and Technology
https://www.readbyqxmd.com/read/28905659/comparative-handling-analysis-of-different-insulin-pump-systems
#2
Delia Waldenmaier, Katharina Schöllkopf, Antje Westhoff, Lutz Heinemann, Guido Freckmann
Insulin pumps are used by many patients with diabetes to manage their diabetes therapy. Adequate handling of the systems is important to avoid errors. In this study, one aspect of device handling-the number of steps required to operate the system-was evaluated for different insulin pump systems. Specific tasks that are usually performed by insulin pump users were simulated and all necessary actions were documented. Differences between the required numbers of steps strongly depended on the specific task. So did the level of guidance for these tasks provided by the systems...
September 1, 2017: Journal of Diabetes Science and Technology
https://www.readbyqxmd.com/read/28905658/decision-support-for-diabetes-in-scotland-implementation-and-evaluation-of-a-clinical-decision-support-system
#3
Nicholas Conway, Karen A Adamson, Scott G Cunningham, Alistair Emslie Smith, Peter Nyberg, Blair H Smith, Ann Wales, Deborah J Wake
BACKGROUND: Automated clinical decision support systems (CDSS) are associated with improvements in health care delivery to those with long-term conditions, including diabetes. A CDSS was introduced to two Scottish regions (combined diabetes population ~30 000) via a national diabetes electronic health record. This study aims to describe users' reactions to the CDSS and to quantify impact on clinical processes and outcomes over two improvement cycles: December 2013 to February 2014 and August 2014 to November 2014...
September 1, 2017: Journal of Diabetes Science and Technology
https://www.readbyqxmd.com/read/28905657/selecting-a-risk-based-sqc-procedure-for-a-hba1c-total-qc-plan
#4
Sten A Westgard, Hassan Bayat, James O Westgard
BACKGROUND: Recent US practice guidelines and laboratory regulations for quality control (QC) emphasize the development of QC plans and the application of risk management principles. The US Clinical Laboratory Improvement Amendments (CLIA) now includes an option to comply with QC regulations by developing an individualized QC plan (IQCP) based on a risk assessment of the total testing process. The Clinical and Laboratory Standards Institute (CLSI) has provided new practice guidelines for application of risk management to QC plans and statistical QC (SQC)...
September 1, 2017: Journal of Diabetes Science and Technology
https://www.readbyqxmd.com/read/28895431/timing-of-meal-insulin-and-its-relation-to-adherence-to-therapy-in-type-1-diabetes
#5
Karishma A Datye, Claire T Boyle, Jill Simmons, Daniel J Moore, Sarah S Jaser, Nicole Sheanon, Julie M Kittelsrud, Stephanie E Woerner, Kellee M Miller
The purpose of this study is to examine timing of meal insulin and further determine whether an association exists between timing of meal insulin and missed meal insulin doses. The cohort included 4768 T1D Exchange clinic registry participants <26 years with type 1 diabetes ≥1 year. Chi-square tests, t-tests, and regression were used to assess the relationship between participant characteristics and timing of meal insulin and missed meal doses, respectively. Timing of meal insulin and association with missed meal doses was analyzed using logistic regression...
September 1, 2017: Journal of Diabetes Science and Technology
https://www.readbyqxmd.com/read/28884599/a-simplified-approach-using-rate-of-change-arrows-to-adjust-insulin-with-real-time-continuous-glucose-monitoring
#6
David C Klonoff, David Kerr
No abstract text is available yet for this article.
September 1, 2017: Journal of Diabetes Science and Technology
https://www.readbyqxmd.com/read/28879783/a-5-step-approach-protocol-using-carelink-therapy-software-in-type-1-diabetes-patients
#7
Goran Petrovski, Marija Zivkovic
No abstract text is available yet for this article.
September 1, 2017: Journal of Diabetes Science and Technology
https://www.readbyqxmd.com/read/28875724/the-long-and-winding-road-toward-personalized-glycemic-control-in-the-critically-ill
#8
James Stephen Krinsley
Hyperglycemia is very common in critically ill patients and interventional studies of intensive insulin therapy with the goal of returning ICU glycemia to normal levels have demonstrated mixed results. A large body of literature has demonstrated that diabetes, per se, is not independently associated with increased risk of mortality in this population and that the relationship of glucose metrics to mortality is different for patients with and without diabetes. Moreover, these relationships are confounded by preadmission glycemia; in this regard, patients with diabetes and good preadmission glucose control, as reflected by HbA1c levels obtained at the time of ICU admission, are similar to patients without diabetes...
September 1, 2017: Journal of Diabetes Science and Technology
https://www.readbyqxmd.com/read/28868899/rate-of-change-of-premeal-glucose-measured-by-continuous-glucose-monitoring-predicts-postmeal-glycemic-excursions-in-patients-with-type-1-diabetes-implications-for-therapy
#9
Amit R Majithia, Alexander B Wiltschko, Hui Zheng, Geoffrey A Walford, David M Nathan
BACKGROUND: Patients with type 1 diabetes routinely utilize a single premeal fingerstick glucose to determine premeal insulin doses. Continuous glucose monitoring (CGM) provides much richer glycemic trend information, including glycemic slope (GS). How to incorporate this information into dosing decisions remains an open question. METHODS: We examined the relationship between premeal GS and postmeal glycemic excursions in 240 individuals with type 1 diabetes receiving CGM augmented insulin pump therapy...
September 1, 2017: Journal of Diabetes Science and Technology
https://www.readbyqxmd.com/read/28849677/iso-15197-2013-evaluation-of-a-blood-glucose-monitoring-system-s-measurement-accuracy
#10
Nina Jendrike, Annette Baumstark, Ulrike Kamecke, Cornelia Haug, Guido Freckmann
No abstract text is available yet for this article.
August 1, 2017: Journal of Diabetes Science and Technology
https://www.readbyqxmd.com/read/28786320/digital-diabetes-congress-2017
#11
David C Klonoff, David Kerr, Jenise C Wong, Yarmela Pavlovic, Suneil Koliwad, Julia Hu, Patricia Salber, Adrian Aguilera, William Long, Giles Hamilton, Kong Y Chen, Saleh Adi
The purpose of developing mobile applications for diabetes is generally to: (1) provide enhanced access to timely information for patients, health care professionals, and researchers; (2) facilitate remote monitoring and diagnosis of patients, often based on information delivered by wearable devices; (3) provide decision support to assist patients in selecting treatment; or (4) deliver timely recommendations for treatment to increase adherence to prescribed therapy. There is a perception that mobile applications can provide meaningful clinical benefits, however, there is only sparse convincing evidence to support this belief at the present time...
August 1, 2017: Journal of Diabetes Science and Technology
https://www.readbyqxmd.com/read/28770627/management-and-family-burdens-endorsed-by-parents-of-youth-7-years-old-with-type-1-diabetes
#12
Kara R Harrington, Claire T Boyle, Kellee M Miller, Marisa E Hilliard, Barbara J Anderson, Michelle Van Name, Linda A DiMeglio, Lori M Laffel
BACKGROUND: This study investigated unique burdens experienced by parents of young children with type 1 diabetes in the context of contemporary diabetes management. METHODS: Self-report surveys and medical record information from the T1D Exchange clinic registry were used. Parental burden and family impact scores were tabulated across demographic and clinical characteristics, overall and according to age group (<4, 4-<6, and 6-<7 years). RESULTS: The mean age of the 597 children was 5...
August 1, 2017: Journal of Diabetes Science and Technology
https://www.readbyqxmd.com/read/28748706/the-development-of-new-composite-metrics-for-the-comprehensive-analytic-and-visual-assessment-of-hypoglycemia-using-the-hypo-triad
#13
Andreas Thomas, John Shin, Boyi Jiang, Chantal McMahon, Ralf Kolassa, Robert A Vigersky
BACKGROUND: Quantifying hypoglycemia has traditionally been limited to using the frequency of hypoglycemic events during a given time interval using data from blood glucose (BG) testing. However, continuous glucose monitoring (CGM) captures three parameters-a Hypo-Triad-unavailable with BG monitoring that can be used to better characterize hypoglycemia: area under the curve (AUC), time (duration of hypoglycemia), and frequency of daily episodes below a specified threshold. METHODS: We developed two new analytic metrics to enhance the traditional Hypo-Triad of CGM-derived data to more effectively capture the intensity of hypoglycemia (IntHypo) and overall hypoglycemic environment called the "hypoglycemia risk volume" (HypoRV)...
July 1, 2017: Journal of Diabetes Science and Technology
https://www.readbyqxmd.com/read/28748705/the-comprehensive-glucose-pentagon-a-glucose-centric-composite-metric-for-assessing-glycemic-control-in-persons-with-diabetes
#14
Robert A Vigersky, John Shin, Boyi Jiang, Thorsten Siegmund, Chantal McMahon, Andreas Thomas
BACKGROUND: Composite metrics have the potential to provide more complete and clinically useful information about glycemic control than traditional individual metrics such as hemoglobin A1C, %/time/area under curve of hypoglycemia and hyperglycemia. METHODS: Using five key metrics that are derived from continuous glucose monitoring, we developed a new, multicomponent composite metric, the Comprehensive Glucose Pentagon (CGP) that demonstrates glycemic control both numerically and visually...
July 1, 2017: Journal of Diabetes Science and Technology
https://www.readbyqxmd.com/read/28741369/bolus-advisors-sources-of-error-targets-for-improvement
#15
John Walsh, Ruth Roberts, Timothy S Bailey, Lutz Heinemann
Bolus advisors that are designed to improve the accuracy of individual bolus doses relative to a meal's carb content and the current glucose have not substantially changed since they were introduced 15 years ago despite an obvious need for enhancement and innovation. Although some glycemic benefits have been demonstrated, bolus advisors largely ignore the large amounts of clinical data they gather that could have a significant impact on glucose outcomes. Concerns have also been raised regarding the aggressive nature of largely unpublished or poorly explained bolus advisor algorithms...
July 1, 2017: Journal of Diabetes Science and Technology
https://www.readbyqxmd.com/read/28728437/does-continuous-diffusion-of-oxygen-improve-diabetic-foot-ulcer-healing
#16
Lawrence A Lavery, Easton C Ryan
The objective of this article is to evaluate the study design, rational and results of Continuous Diffusion of Oxygen Therapy (CDOT) to heal diabetic foot ulcers (DFUs). The study was a double-blinded placebo controlled randomized clinical study to evaluate DFUs over a 12-week period. The primary outcome was the proportion of ulcers that healed and the secondary outcome that was reported was the time to ulcer healing. In the per protocol analysis and in the intent to treat analysis, a higher proportion of DFUs healed in the CDOT group (per protocol 46% vs 22%, P = ...
July 1, 2017: Journal of Diabetes Science and Technology
https://www.readbyqxmd.com/read/28728436/now-is-the-time-for-a-security-and-safety-standard-for-consumer-smartphones-controlling-diabetes-devices
#17
David C Klonoff, David Kerr, Dave Kleidermacher
No abstract text is available yet for this article.
July 1, 2017: Journal of Diabetes Science and Technology
https://www.readbyqxmd.com/read/28728435/hyperglycemia-as-a-predictor-for-adverse-outcome-in-icu-patients-with-and-without-diabetes
#18
Simon Lebech Cichosz, Clara Schaarup
The aim of this study was to investigate hyperglycemia as a predictor for mortality and length of intensive care unit (ICU) stay in groups of patients with and without known diabetes. The present study examines data from 200 859 patients included in eICU Collaborative Research Database, a large multicenter critical care database. The results show that hyperglycemia among ICU patients without diabetes is strongly associated with adverse event. In comparison, hyperglycemia is not as strong among patients with diabetes...
July 1, 2017: Journal of Diabetes Science and Technology
https://www.readbyqxmd.com/read/28728434/economic-model-predictive-control-of-bihormonal-artificial-pancreas-system-based-on-switching-control-and-dynamic-r-parameter
#19
Fengna Tang, Youqing Wang
BACKGROUND: Blood glucose (BG) regulation is a long-term task for people with diabetes. In recent years, more and more researchers have attempted to achieve automated regulation of BG using automatic control algorithms, called the artificial pancreas (AP) system. In clinical practice, it is equally important to guarantee the treatment effect and reduce the treatment costs. The main motivation of this study is to reduce the cure burden. METHODS: The dynamic R-parameter economic model predictive control (R-EMPC) is chosen to regulate the delivery rates of exogenous hormones (insulin and glucagon)...
July 1, 2017: Journal of Diabetes Science and Technology
https://www.readbyqxmd.com/read/28707484/autoregressive-modeling-of-drift-and-random-error-to-characterize-a-continuous-intravascular-glucose-monitoring-sensor
#20
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
journal
journal
41636
1
2
Fetch more papers »
Fetching more papers... Fetching...
Read by QxMD. Sign in or create an account to discover new knowledge that matter to you.
Remove bar
Read by QxMD icon Read
×

Search Tips

Use Boolean operators: AND/OR

diabetic AND foot
diabetes OR diabetic

Exclude a word using the 'minus' sign

Virchow -triad

Use Parentheses

water AND (cup OR glass)

Add an asterisk (*) at end of a word to include word stems

Neuro* will search for Neurology, Neuroscientist, Neurological, and so on

Use quotes to search for an exact phrase

"primary prevention of cancer"
(heart or cardiac or cardio*) AND arrest -"American Heart Association"