Insulin Pumps in Type 1 Diabetes with Mental Disorders: Real-Life Clinical Data Indicate Discrepancies to Recommendations

2016 ◽  
Vol 18 (1) ◽  
pp. 34-38 ◽  
Author(s):  
Nicole Prinz ◽  
Christina Bächle ◽  
Marianne Becker ◽  
Gabriele Berger ◽  
Angela Galler ◽  
...  
Keyword(s):  
Type 1 Diabetes ◽  
Mental Disorders ◽  
Clinical Data ◽  
Real Life ◽  
Insulin Pumps

scholarly journals Characterization of Exercise and Alcohol Self-Management Behaviors of Type 1 Diabetes Patients on Insulin Pump Therapy

2016 ◽  
Vol 11 (2) ◽  
pp. 240-246 ◽  
Author(s):  
Maria Adela Grando ◽  
Danielle Groat ◽  
Hiral Soni ◽  
Mary Boyle ◽  
Marilyn Bailey ◽  
...  
Keyword(s):  
Type 1 Diabetes ◽  
Blood Glucose ◽  
Insulin Pump ◽  
Blood Glucose Control ◽  
Real Life ◽  
Insulin Pump Therapy ◽  
Insulin Pumps ◽  
Pump Therapy ◽  
Diabetes Patients

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.

scholarly journals Generation of Virtual Patient Populations That Represent Real Type 1 Diabetes Cohorts

Mathematics ◽  
2021 ◽  
Vol 9 (11) ◽  
pp. 1200
Author(s):  
Sayyar Ahmad ◽  
Charrise M. Ramkissoon ◽  
Aleix Beneyto ◽  
Ignacio Conget ◽  
Marga Giménez ◽  
...  
Keyword(s):  
Type 1 Diabetes ◽  
Clinical Data ◽  
Insulin Pump ◽  
Real Life ◽  
Model Parameters ◽  
Preclinical Testing ◽  
Time In Range ◽  
Therapy Strategies ◽  
Hospital Clinic

Preclinical testing and validation of therapeutic strategies developed for patients with type 1 diabetes (T1D) require a cohort of virtual patients (VPs). However, current simulators provide a limited number of VPs, lack real-life scenarios, and inadequately represent intra- and inter-day variability in insulin sensitivity and blood glucose (BG) profile. The generation of a realistic scenario was achieved by using the meal patterns, insulin profiles (basal and bolus), and exercise sessions estimated as disturbances using clinical data from a cohort of 14 T1D patients using the Medtronic 640G insulin pump provided by the Hospital Clínic de Barcelona. The UVa/Padova’s cohort of adult patients was used for the generation of a new cohort of VPs. Insulin model parameters were optimized and adjusted in a day-by-day fashion to replicate the clinical data to create a cohort of 75 VPs. All primary and secondary outcomes reflecting the BG profile of a T1D patient were analyzed and compared to the clinical data. The mean BG 166.3 versus 162.2 mg/dL ( = 0.19), coefficient of variation 32% versus 33% ( = 0.54), and percent of time in range (70 to 180 mg/dL) 59.6% versus 66.8% ( = 0.35) were achieved. The proposed methodology for generating a cohort of VPs is capable of mimicking the BG metrics of a real cohort of T1D patients from the Hospital Clínic de Barcelona. It can adopt the inter-day variations in the BG profile, similar to the observed clinical data, and thus provide a benchmark for preclinical testing of control techniques and therapy strategies for T1D patients.

1066-P: Improvement in Time-in-Range (TIR) with Real-Life Use of Hybrid Closed-Loop System in Patients with Type 1 Diabetes (T1D)

Diabetes ◽  
2019 ◽  
Vol 68 (Supplement 1) ◽  
pp. 1066-P
Author(s):  
HALIS K. AKTURK ◽  
DOMINIQUE A. GIORDANO ◽  
HAL JOSEPH ◽  
SATISH K. GARG ◽  
JANET K. SNELL-BERGEON
Keyword(s):  
Type 1 Diabetes ◽  
Closed Loop ◽  
Real Life ◽  
Loop System ◽  
Closed Loop System ◽  
Time In Range

scholarly journals Sleep quality and glycaemic variability in a real-life setting in adults with type 1 diabetes

Diabetologia ◽  
2021 ◽  
Author(s):  
Rachel Brandt ◽  
Minsun Park ◽  
Kristen Wroblewski ◽  
Lauretta Quinn ◽  
Esra Tasali ◽  
...  
Keyword(s):  
Type 1 Diabetes ◽  
Sleep Quality ◽  
Real Life ◽  
Glycaemic Variability ◽  
Real Life Setting

Bariatric surgery in the treatment of patients with obesity and type 1 diabetes: A retrospective study of clinical data

2021 ◽  
Author(s):  
Nagi Mohammed ◽  
Adam Buckley ◽  
Mohgah Elsheikh ◽  
Matthew Allum ◽  
Sara Suliman ◽  
...  
Keyword(s):  
Bariatric Surgery ◽  
Type 1 Diabetes ◽  
Retrospective Study ◽  
Clinical Data
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