scholarly journals Unexpected Management Behaviors in Adolescents With Type 1 Diabetes Using Sensor-Augmented Pump Therapy

2018 ◽  
Vol 12 (3) ◽  
pp. 592-598 ◽  
Author(s):  
Mary Binsu Abraham ◽  
Kristine Heels ◽  
Jennifer A. Nicholas ◽  
Carol Cole ◽  
Rebecca Gebert ◽  
...  
Keyword(s):  
Type 1 Diabetes ◽  
Glycemic Control ◽  
Real Time ◽  
Sensor Data ◽  
Continuous Exposure ◽  
Time Data ◽  
Pump Therapy ◽  
Glucose Levels ◽  
Management Behaviors

Background: Continuous glucose monitoring can improve glycemic outcomes in individuals with type 1 diabetes. However, the constant exposure to real-time glucose levels can sometimes lead the individual to make some risky choices to address the glycemic excursions. Hence, the purpose of this study was to explore the aberrant management behaviors of youth with type 1 diabetes on sensor-augmented pump therapy (SAPT). Methods: Participants in a clinical trial using SAPT on Medtronic MiniMed™ 640G pump who experienced deteriorating glycemic control or unexplained hypoglycemia were identified by the health care professional. The pump and/or sensor data uploaded to CareLink™ Therapy Management Software were reviewed in these participants. Results: Uncharacteristic management behaviors were identified in five adolescent males. Continuous exposure to high glucose levels resulted in obsessive behaviors displaying a perfectionistic attitude in two participants. Multiple boluses were delivered frequently as uneaten carbohydrates in participant 1 while participant 2 resorted to delivery of extra insulin by cannula fills. In contrast, participant 3 chose to remain hyperglycemic to avoid weight gain while participant 4 trusted the system and used sensor glucose readings for calibrations, with resultant deterioration in glycemic control in both participants. On the other hand, participant 5, due to mistrust in the pump suspend function, consumed carbohydrates with downward glucose trends with rebound hyperglycemia. Conclusions: Constant exposure to real-time data can lead to unsafe management responses in adolescents with the behavior influenced by trust or mistrust in the system. Adolescents should be empowered with problem-solving strategies for safe management.

scholarly journals Feasibility study of real-time online text-based CBT to support self-management for people with type 1 diabetes: the Diabetes On-line Therapy (DOT) Study

2021 ◽  
Vol 9 (1) ◽  
pp. e001934
Author(s):  
Anne M Doherty ◽  
Anne Herrmann-Werner ◽  
Arann Rowe ◽  
Jennie Brown ◽  
Scott Weich ◽  
...  
Keyword(s):  
Type 1 Diabetes ◽  
Glycemic Control ◽  
Real Time ◽  
Instant Messaging ◽  
Controlled Trial ◽  
Self Management ◽  
Diabetes Distress ◽  
The Mean ◽  
Distress Scale

IntroductionThis study examines the feasibility of conducting diabetes-focused cognitive–behavioral therapy (CBT) via a secure online real-time instant messaging system intervention to support self-management and improve glycemic control in people with type 1 diabetes.Research design and methodsWe used a pre–post uncontrolled intervention design over 12 months. We recruited adults with type 1 diabetes and suboptimal glycemic control (HbA1c ≥69 mmol/mol (DCCT 8.5%) for 12 months) across four hospitals in London. The intervention comprised 10 sessions of diabetes-focused CBT delivered by diabetes specialist nurses. The primary outcomes were number of eligible patients, rates of recruitment and follow-up, number of sessions completed and SD of the main outcome measure, change in HbA1c over 12 months. We measured the feasibility of collecting secondary outcomes, that is, depression measured using Patient Health Questionnaire-9 (PHQ-9), anxiety measured Generalised Anxiety Disorder (GAD) and the Diabetes Distress Scale (DDS).ResultsWe screened 3177 patients, of whom 638 were potentially eligible, from whom 71 (11.1%) were recruited. The mean age was 28.1 (13.1) years, and the mean HbA1c was 84.6 mmol/mol (17.8), DCCT 9.9%. Forty-six (65%) patients had at least 1 session and 29 (41%) completed all sessions. There was a significant reduction in HbA1c over 12 months (mean difference −6.2 (2.3) mmol/mol, DCCT 0.6%, p=0.038). The change scores in PHQ-9, GAD and DDS also improved.ConclusionsIt would be feasible to conduct a full-scale text-based synchronized real-time diabetes-focused CBT as an efficacy randomized controlled trial.

Effects of glycemic control on target organ responses to epinephrine in type 1 diabetes

2005 ◽  
Vol 289 (2) ◽  
pp. E258-E265 ◽  
Author(s):  
Deanna Aftab Guy ◽  
Darleen Sandoval ◽  
M. A. Richardson ◽  
Donna Tate ◽  
Stephen N. Davis
Keyword(s):  
Type 1 Diabetes ◽  
Glycemic Control ◽  
Blood Pressure Response ◽  
Severe Hypoglycemia ◽  
Glucose Production ◽  
Endogenous Glucose Production ◽  
Target Organ ◽  
Epinephrine Infusion ◽  
Glucose Levels

Severe hypoglycemia occurs in intensively treated patients with type 1 diabetes mellitus (T1DM) due in part to deficient epinephrine counterregulatory responses. Previously, we have found that T1DM patients demonstrated a spectrum of altered responses to epinephrine at a variety of target organs compared with nondiabetic healthy subjects. What is not known is whether intensive glycemic control further modifies target organ responses in individuals with T1DM. Therefore, the aim of this study is to assess whether there is tissue specific (liver, muscle, adipose tissue, pancreas and cardiovascular) resistance to epinephrine in intensively controlled (IC) T1DM compared with those with conventional control (CC). Eight IC patients (age 33 ± 4 yr, BMI 24 ± 2 kg/m2, Hb A1C6.7 ± 0.1%), and 11 CC patients (age 35 ± 3 yr, BMI 25 ± 1 kg/m2, Hb A1C9.6 ± 0.1%) underwent two separate randomized, single-blind, 2-h hyperinsulinemic euglycemic clamp studies with (EPI) and without (NO EPI) epinephrine infusion. Epinephrine levels during EPI were similar in all groups (5,197 ± 344 pmol/l). Glucose (5.3 ± 0.1 mmol/l) and insulin levels (515 ± 44 pmol/l) were similar in all groups during the glucose clamps. Endogenous glucose production (EGP) and glucose uptake (Rd) were determined using [3-H3]glucose. Muscle biopsy was performed at the end of each study. IC had a significantly reduced EGP and Rdresponses to EPI compared with CC. Glucagon responses to EPI were similarly blunted in both IC and CC. Free fatty acid and glycerol response to EPI was greater in CC compared with IC. There was a significantly greater systolic blood pressure response to EPI in CC. We conclude that, despite similar epinephrine, insulin, and glucose levels, intensively treated T1DM patients had reduced cardiovascular, skeletal muscle, hepatic, and adipose target organ responses to EPI compared with conventionally treated T1DM patients.

Type I Diabetes Mellitus

2019 ◽  
Author(s):  
Joseph I. Wolfsdorf ◽  
Katharine Garvey
Keyword(s):  
Diabetes Mellitus ◽  
Type 1 Diabetes ◽  
Glycemic Control ◽  
Type 1 Diabetes Mellitus ◽  
Diabetic Ketoacidosis ◽  
Autoimmune Diabetes ◽  
Type I ◽  
Insulin Deficiency ◽  
Glucose Levels

Type 1 diabetes mellitus is characterized by severe insulin deficiency, making patients dependent on exogenous insulin replacement for survival. These patients can experience life-threatening events when their glucose levels are significantly abnormal. Type 1 diabetes accounts for 5 to 10% of all diabetes cases, with type 2 accounting for most of the remainder. This review details the pathophysiology, stabilization and assessment, diagnosis and treatment, disposition and outcomes of patients with Type 1 diabetes mellitus. Figures show the opposing actions of insulin and glucagon on substrate flow and plasma levels; plasma glucose, insulin and C-peptide levels throughout the day; the structure of human proinsulin; current view of the pathogenesis of Type 1 autoimmune diabetes mellitus; pathways that lead from insulin deficiency to the major clinical manifestations of Type 1 diabetes mellitus; relationship between hemoglobin A1c values at the end of a 3-month period and calculated average glucose levels during the 3-month period; different combinations of various insulin preparations used to establish glycemic control; and basal-bolus and insulin pump regimens. Tables list the etiologic classification of Type 1 diabetes mellitus, typical laboratory findings and monitoring in diabetic ketoacidosis, criteria for the diagnosis of Type 1 diabetes, clinical goals of Type 1 diabetes treatment, and insulin preparations. This review contains 10 figures, 9 tables, and 40 references. Keywords: Type 1 diabetes mellitus, optimal glycemic control, hypoglycemia, hyperglycemia, polyuria, polydipsia, polyphagia, HbA1c, medical nutrition therapy, Diabetic Ketoacidosis

Additional Insulin for Coping with Fat- and Protein-Rich Meals in Adolescents with Type 1 Diabetes: The Protein Unit

2020 ◽  
Author(s):  
Roland Schweizer ◽  
Susann Herrlich ◽  
Martina Lösch-Binder ◽  
Michaela Glökler ◽  
Magdalena Heimgärtner ◽  
...  
Keyword(s):  
Type 1 Diabetes ◽  
G Protein ◽  
Insulin Dose ◽  
Dietary Fats ◽  
Target Range ◽  
Pump Therapy ◽  
Glucose Levels ◽  
Protein Rich ◽  
Carbohydrate Unit

Abstract Objective Dietary proteins raise blood glucose levels; dietary fats delay this rise. We sought to assess the insulin amount required to normalize glucose levels after a fat- and protein-rich meal (FPRM). Methods Sixteen adolescents (5 female) with type 1 diabetes (median age: 18.2 years; range: 15.2–24.0; duration: 7.1 years; 2.3–14.3; HbA1c: 7.2%; 6.2–8.3%) were included. FPRM (carbohydrates 57 g; protein 92 g; fat 39 g; fibers 7 g; calories 975 Kcal) was served in the evening, with 20 or 40% extra insulin compared to a standard meal (SM) (carbohydrates 70 g; protein 28 g; fat 19 g; fibers 10 g; calories 579 Kcal) or carbohydrates only. Insulin was administered for patients on intensified insulin therapy or as a 4-hour-delayed bolus for those on pump therapy. The 12-hour post-meal glucose levels were compared between FPRM and SM, with the extra insulin amount calculated based on 100 g proteins as a multiple of the carbohydrate unit. Results Glucose levels (median, mg/dL) 12-hour post-meal with 20% extra insulin vs. 40% vs. insulin dose for SM were 116 vs. 113 vs. 91. Glucose-AUC over 12-hour post-meal with 20% extra insulin vs. 40% vs. insulin dose for SM was 1603 mg/dL/12 h vs. 1527 vs. 1400 (no significance). Glucose levels in the target range with 20% extra insulin vs. 40% were 60% vs. 69% (p=0.1). Glucose levels <60 mg/dL did not increase with 40% extra insulin. This corresponds to the 2.15-fold carbohydrate unit for 100 g protein. Conclusions We recommend administering the same insulin dose given for 1 carbohydrate unit (10 g carbs) to cover 50 g protein.

Factors associated with glycemic control in adult type 1 diabetes patients treated with insulin pump therapy

Endocrine ◽  
2014 ◽  
Vol 48 (1) ◽  
pp. 164-169 ◽  
Author(s):  
Bartłomiej Matejko ◽  
Jan Skupien ◽  
Sandra Mrozińska ◽  
Małgorzata Grzanka ◽  
Katarzyna Cyganek ◽  
...  
Keyword(s):  
Type 1 Diabetes ◽  
Glycemic Control ◽  
Insulin Pump ◽  
Insulin Pump Therapy ◽  
Pump Therapy ◽  
Adult Type ◽  
Factors Associated ◽  
Diabetes Patients

scholarly journals Use of a do-it-yourself artificial pancreas system is associated with better glucose management and higher quality of life among adults with type 1 diabetes

2020 ◽  
Vol 11 ◽  
pp. 204201882095014
Author(s):  
Zekai Wu ◽  
Sihui Luo ◽  
Xueying Zheng ◽  
Yan Bi ◽  
Wen Xu ◽  
...  
Keyword(s):  
Quality Of Life ◽  
Type 1 Diabetes ◽  
Glycemic Control ◽  
Artificial Pancreas ◽  
Pump Therapy ◽  
Quality Of Life Scale ◽  
Do It Yourself ◽  
Glucose Management

Background: Previous studies show that the use of do-it-yourself artificial pancreas system (DIYAPS) may be associated with better glycemic control characterized by improved estimated hemoglobin A1c (eHbA1c) and time in range among adults with type 1 diabetes (T1D). However, few studies have demonstrated the changes in laboratory-measured HbA1c, which is a more accepted index for glycemic control, after using a DIYAPS. Methods: This is a retrospective before-after study approaching patients who reported self-use of AndroidAPS. The main inclusion criteria included: T1D; aged ⩾18 years; having complete record of ⩾3 months of continuous AndroidAPS use; with laboratory-measured HbA1c and quality of life scale data before and after 3 months of AndroidAPS use; and not pregnant. The primary outcome was the change in HbA1c between baseline and 3 months after initiation of AndroidAPS use. Results: Overall, 15 patients (10 females) were included; the median age was 32.2 years (range: 19.2–69.4), median diabetes duration was 9.7 years (range: 1.8–23.7) and median baseline HbA1c was 7.3% (range: 6.4–10.1). The 3 months of AndroidAPS use was associated with substantial reductions in HbA1c [6.79% (SD: 1.29) versus 7.63% (SD: 1.06), p = 0.002] and glycemic variability when compared with sensor-augmented pump therapy. A lower level of fear of hypoglycemia [22.13 points (SD: 6.87) versus 26.27 points (SD: 5.82), p = 0.010] was also observed after using AndroidAPS. Conclusions: The 3 months of AndroidAPS use was associated with significant improvements in glucose management and quality of life among adults with T1D.

Impact of Real-Time CGM Data Sharing on Quality of Life in the Caregivers of Adults and Children with Type 1 Diabetes

2020 ◽  
pp. 193229682097842
Author(s):  
William H. Polonsky ◽  
Addie L. Fortmann
Keyword(s):  
Quality Of Life ◽  
Type 1 Diabetes ◽  
Glycemic Control ◽  
Health Outcomes ◽  
Real Time ◽  
Data Sharing ◽  
Diabetes Management ◽  
Health Benefits

Background: To examine caregivers’ experiences with real-time continuous glucose monitoring (RT-CGM) data sharing and its impact on quality of life (QoL) and health outcomes. Methods: Parents of children with type 1 diabetes (T1D) ( N = 303) and spouses/partners of T1D adults ( N = 212) using the Dexcom G5 Mobile or G6 RT-CGM system and who were actively following their T1Ds’ RT-CGM data completed a survey examining their perceived value of data sharing, the impact of sharing on their own QoL and their child/partner’s health, and how they used RT-CGM data to support their T1Ds’ diabetes management. Regression analyses examined whether their actions were linked to reported changes in QoL and health outcomes. Results: Respondents were predominantly non-Hispanic White (91.1% parents; 88.7% partners), female (78.2% parents; 54.7% partners), and college-educated (65.3% parents; 61.8% partners). The majority reported that data sharing had enhanced hypoglycemic confidence (97.7% parents; 98.1% partners), overall well-being (60.4% parents; 63.2% partners), and sleep quality (78.0% parents; 61.3% partners). Of note, three positive caregiver actions were broadly consistent and significant predictors of QoL and health benefits for both parents and partners: celebrating success related to glycemic control, providing encouragement when glycemic control is challenging, and teamwork discussions about how the caregiver should respond to out-of-range values. Conclusions: RT-CGM data sharing was associated with a range of QoL and health benefits for caregivers. Degree of benefits was influenced by the collaborative actions taken by caregivers to support their child’s or partner’s diabetes management. To determine the most effective strategies for collaborative data sharing, longitudinal trials are needed.

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