Citations

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. Compensation techniques for exercise and alcohol, along with reasons for employing the techniques were identified. Also identified were factors that participants said affected BG control with regard to exercise and alcohol. These results confirm the considerable inconsistency patients have about incorporating exercise and alcohol into decisions about self-management behaviors.

In June 2016, Diabetes Technology Society convened a panel of US experts in inpatient diabetes management to discuss the current and potential role of continuous glucose monitoring (CGM) in the hospital. This discussion combined with a literature review was a follow-up to a meeting, which took place in May 2015. The panel reviewed evidence on use of CGM in 3 potential inpatient scenarios: (1) the intensive care unit (ICU), (2) non-ICU, and (3) transitioning outpatient CGM use into the hospital setting. Panel members agreed that data from limited studies and theoretical considerations suggested that use of CGM in the hospital had the potential to improve patient clinical outcomes, and in particular reduction of hypoglycemia. Panel members discussed barriers to widespread adoption of CGM, which patients would benefit most from use of this technology, and what type of outcome studies are needed to guide use of CGM in the inpatient setting.

Background: We propose a methodology to analyze complex real-life glucose data in insulin pump users. Methods: Patients with type 1 diabetes (T1D) on insulin pumps were recruited from an academic endocrinology practice. Glucose data, insulin bolus (IB) amounts, and self-reported alcohol consumption and exercise events were collected for 30 days. Rules were developed to retrospectively compare IB recommendations from the insulin pump bolus calculator (IPBC) against recommendations from a proposed decision aid (PDA) and for assessing the PDA’s recommendation for exercise and alcohol. Results: Data from 15 participants were analyzed. When considering instances where glucose was below target, the PDA recommended a smaller dose in 14%, but a larger dose in 13% and an equivalent IB in 73%. For glucose levels at target, the PDA suggested an equivalent IB in 58% compared to the subject’s IPBC, but higher doses in 20% and lower in 22%. In events where postprandial glucose was higher than target, the PDA suggested higher doses in 25%, lower doses in 13%, and equivalent doses in 62%. In 64% of all alcohol events the PDA would have provided appropriate advice. In 75% of exercise events, the PDA appropriately advised an IB, a carbohydrate snack, or neither. Conclusions: This study provides a methodology to systematically analyze real-life data generated by insulin pumps and allowed a preliminary analysis of the performance of the PDA for insulin dosing. Further testing of the methodological approach in a broader diabetes population and prospective testing of the PDA are needed.

101 Background: Diabetes mellitus (DM) has been associated with an increased risk of mortality among patients with many types of cancers. The aim of this case-control study was to determine the impact of DM on short-term overall survival in prostate cancer patients, and to examine the impact of prostate cancer on glycemic control in DM. Methods: 276 patients with newly diagnosed prostate cancer from 2007-2014 with DM were identified from the Institutional Cancer Registry and matched to 276 prostate cancer patients without DM according to age and year of prostate cancer diagnosis. The file was linked to the electronic medical record to obtain information on DM and cancer therapies, and laboratory results. Results: The mean age of the entire prostate cancer cohort was 72 years, most (93%) were white, the most common Gleason score (in 52%) was 7, and the majority (56%) were tumor stage 2. No differences in age, race/ethnicity, Gleason score, or tumor stage were detected between patients with and without DM, although DM patients had higher body mass index (P = .031). Among those with DM the mean hemoglobin A1c (HbA1c) was 6.7%. In Kaplan-Meier survival analysis (median follow-up time of 43.7 months), 5-year overall survival was estimated at 88% for DM patients versus 93% in non-DM patients. Hazard ratio (for matched pairs) was 1.64 (95% CI: 0.77-3.46, P = .20). Moreover, mean HbA1c and glucose values among DM cases did not significantly change over 1 year (P ≥ .13). Mean glucose among DM patients was significantly (p < 0.01) higher compared to non-DM patients. Conclusions: DM did not adversely impact survival in prostate cancer patients. In addition, prostate cancer or its treatment does not appear to affect glycemic control. Both patients and their providers can be reassured that the two concurrent diagnoses do not adversely interact to worsen short term outcomes.

Background: Currently, glycemic management for individuals with diabetes mellitus involves monitoring glucose only, which is insufficient as glucose metabolism involves other biomarkers such as insulin. Monitoring additional biomarkers alongside glucose has been proposed to improve glycemic control. In this work, the development of a rapid and label-free insulin biosensor with high sensitivity and accuracy is presented. The insulin sensor prototype also serves as a prior study for a multimarker sensing platform technology that can further improve glycemic control in the future. Methods: Electrochemical impedance spectroscopy was used to identify an optimal frequency specific to insulin detection on a gold disk electrode with insulin antibody immobilized, which was accomplished by conjugating the primary amines of insulin antibody to the carboxylic bond of the self-assembling monolayer on the gold surface. After blocking with ethanolamine, the insulin physiological concentration gradient was tested. The imaginary impedance was correlated to insulin concentration and the results were compared with standard equivalent circuit analysis and correlation of charge transfer resistance to target concentration. Results: The optimal frequency of insulin is 810.5 Hz, which is characterized by having the highest sensitivity and sufficient specificity. The lower limit of detection was 2.26 ρ M which is comparable to a standard and better than traditional approaches. Conclusion: An insulin biosensor prototype capable of detecting insulin in physiological range without complex data normalization was developed. This prototype will be the ground works of a multimarker platform sensor technology for future all-in-one glycemic management sensors.

137 Background: Diabetes has been associated with an increased risk of mortality among patients with many types of cancers. Methods: We performed a case-control study of 109 breast cancer patients to determine the impact of diabetes on disease recurrence and survival. These 109 patients diagnosed with invasive breast cancer during 2007-2011 with diabetes were identified from the institutional Cancer Registry and matched to 109 breast cancer patients without diabetes according to age, race/ethnicity and year of diagnosis. Statistical tests included paired t-tests, McNemar’s tests, and stratified Cox regression. Results: The median ages of those with and without diabetes were 68 years, and 91% in both groups were white (both matched). Patients with and without diabetes were not significantly different in terms of tumor grade, cancer stage, estrogen or progesterone receptor status, HER2 neu status, marital and employment status, smoking use, use of adjuvant chemotherapy, and steroid treatment (all P >.4). Patients with diabetes reported less use of alcohol (50% vs 64%, P=.04), and had greater BMI (79% overweight/obese vs 58%, P= .002). Survival analysis demonstrated no differences in survival from initial breast cancer diagnosis (HR=1.25, 95% CI 0.49-3.17) with median follow-up of 2.2 years (range 0.1-4.9), and no differences in recurrence-free survival (HR=1.00, 95% CI 0.14-7.10) though very few deaths and recurrences were observed. Within the diabetes group, 96 (88%) had type 2 diabetes and 97/106 (92%, 3 unknown) had diabetes pre-existing to cancer diagnosis. Initial diabetes therapy included diet (33, 30%), oral therapy (48, 44%), insulin (21, 19%), or oral+insulin (6, 6%). 7 patients required a change in diabetes therapy within 1 year of cancer diagnosis with 3 patients starting insulin. 32/70 (46%) with available lab data had 1 or more A1C >/=7 within 1 year of cancer diagnosis. Conclusions: In this retrospective, carefully matched case-control study, we developed a comprehensive profile of the patient population with newly diagnosed breast cancer and diabetes. Diabetes did not appear to impact mortality or recurrence-free survival based on descriptive estimates in this small breast cancer cohort.

Background: There is a lack of systematic ways to analyze how diabetes patients use their insulin pumps to self-manage blood glucose to compensate for alcohol ingestion and exercise. The objective was to analyze “real-life” insulin dosing decisions occurring in conjunction with alcohol intake and exercise among patients using insulin pumps. Methods: We recruited adult type 1 diabetes (T1D) patients on insulin pump therapy. Participants were asked to maintain their daily routines, including those related to exercising and consuming alcohol, and keep a 30-day journal on exercise performed and alcohol consumed. Thirty days of insulin pump data were downloaded. Participants’ actual insulin dosing behaviors were compared against their self-reported behaviors in the setting of exercise and alcohol. Results: Nineteen T1D patients were recruited and over 4000 interactions with the insulin pump were analyzed. The analysis exposed variability in how subjects perceived the effects of exercise/alcohol on their blood glucose, inconsistencies between self-reported and observed behaviors, and higher rates of blood glucose control behaviors for exercise versus alcohol. Conclusion: Compensation techniques and perceptions on how exercise and alcohol affect their blood glucose levels vary between patients. Improved individualized educational techniques that take into consideration a patient’s unique life style are needed to help patients effectively apply alcohol and exercise compensation techniques.