Journal of diabetes science and technology
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J Diabetes Sci Technol · Sep 2015
Development of a Smartphone Application to Capture Carbohydrate, Lipid, and Protein Contents of Daily Food: Need for Integration in Artificial Pancreas for Patients With Type 1 Diabetes?
Meal lipids (LIP) and proteins (PRO) may influence the effect of insulin doses based on carbohydrate (CHO) counting in patients with type 1 diabetes (T1D). We developed a smartphone application for CHO, LIP, and PRO counting in daily food and assessed its usability in real-life conditions and potential usefulness. ⋯ Our study shows CHO, LIP, and PRO intakes can be easily captured by an application on smartphone for meal entry used by T1D patients. Although LIP and PRO meal contents did not influence glucose levels when insulin doses were based on CHO in this pilot study, this application could be used for further investigation of this topic, including in closed-loop conditions.
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J Diabetes Sci Technol · Aug 2015
Impact of Glucose Meter Error on Glycemic Variability and Time in Target Range During Glycemic Control After Cardiovascular Surgery.
We retrospectively studied the impact of glucose meter error on the efficacy of glycemic control after cardiovascular surgery. ⋯ Decreasing glucose meter error (bias) was associated with decreased glycemic variability and increased percentage of values in target glucose range for patients placed on intravenous insulin therapy following cardiovascular surgery.
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J Diabetes Sci Technol · Aug 2015
An Automatic Assessment System of Diabetic Foot Ulcers Based on Wound Area Determination, Color Segmentation, and Healing Score Evaluation.
For individuals with type 2 diabetes, foot ulcers represent a significant health issue. The aim of this study is to design and evaluate a wound assessment system to help wound clinics assess patients with foot ulcers in a way that complements their current visual examination and manual measurements of their foot ulcers. ⋯ Our system provides a promising real-time method for wound assessment based on image analysis. Clinical comparisons indicate that the optimized mean-shift-based algorithm is well suited for wound area determination. Clinical evaluation of our healing score algorithm shows its potential to provide clinicians with a quantitative method for evaluating wound healing status.
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J Diabetes Sci Technol · Aug 2015
ReviewThe Role of Mobile Applications in Improving Alcohol Health Literacy in Young Adults With Type 1 Diabetes: Help or Hindrance?
Mobile health (mHealth) is an expanding field which includes the use of social media and mobile applications (apps). Apps are used in diabetes self-management but it is unclear whether these are being used to support safe drinking of alcohol by people with type 1 diabetes (T1DM). Alcohol health literacy is poor among young adults with T1DM despite specific associated risks. ⋯ Use of mobile apps is commonplace but the use of apps to support safe drinking in this population was rare. Most participants expressed a preference for direct communication with their health care teams about this subject. Further research is needed to determine the preferences of health care professionals and how they can best support young adults in safe drinking.