scholarly journals Fifteen-minute consultation: Practical use of continuous glucose monitoring

2021 ◽  
pp. edpract-2020-321190
Author(s):  
Astha Soni ◽  
Neil Wright ◽  
Juliana Chizo Agwu ◽  
Josephine Drew ◽  
Melanie Kershaw ◽  
...  
Keyword(s):  
Type 1 Diabetes ◽  
Blood Glucose ◽  
Continuous Glucose Monitoring ◽  
Diabetes Management ◽  
Glucose Monitoring ◽  
Children And Young People ◽  
Use Of Technology ◽  
Finger Prick ◽  
Monitoring Devices

Type 1 diabetes is a self-managed condition. Regular monitoring of blood glucose (BG) levels has been the cornerstone of diabetes management. Finger prick BG testing traditionally has been the standard method employed. More recently, rapid advancements in the development of continuous glucose monitoring devices have led to increased use of technology to help children and young people with diabetes manage their condition. These devices have the potential to improve diabetes control and reduce hypoglycaemia especially if used in conjunction with a pump to automate insulin delivery. This paper aims to provide an update on main CGM devices available and practical considerations for doctors if they come across a child with diabetes who is using one of these devices.

scholarly journals Functional data analysis and prediction tools for continuous glucose-monitoring studies

2020 ◽  
pp. 1-10
Author(s):  
Emrah Gecili ◽  
Rui Huang ◽  
Jane C. Khoury ◽  
Eileen King ◽  
Mekibib Altaye ◽  
...  
Keyword(s):  
Type 1 Diabetes ◽  
Real Time ◽  
Continuous Glucose Monitoring ◽  
Functional Data ◽  
Diabetes Management ◽  
Glucose Monitoring ◽  
Patient Specific ◽  
Prediction Errors ◽  
Medical Monitoring

Abstract Introduction: To identify phenotypes of type 1 diabetes based on glucose curves from continuous glucose-monitoring (CGM) using functional data (FD) analysis to account for longitudinal glucose patterns. We present a reliable prediction model that can accurately predict glycemic levels based on past data collected from the CGM sensor and real-time risk of hypo-/hyperglycemic for individuals with type 1 diabetes. Methods: A longitudinal cohort study of 443 type 1 diabetes patients with CGM data from a completed trial. The FD analysis approach, sparse functional principal components (FPCs) analysis was used to identify phenotypes of type 1 diabetes glycemic variation. We employed a nonstationary stochastic linear mixed-effects model (LME) that accommodates between-patient and within-patient heterogeneity to predict glycemic levels and real-time risk of hypo-/hyperglycemic by creating specific target functions for these excursions. Results: The majority of the variation (73%) in glucose trajectories was explained by the first two FPCs. Higher order variation in the CGM profiles occurred during weeknights, although variation was higher on weekends. The model has low prediction errors and yields accurate predictions for both glucose levels and real-time risk of glycemic excursions. Conclusions: By identifying these distinct longitudinal patterns as phenotypes, interventions can be targeted to optimize type 1 diabetes management for subgroups at the highest risk for compromised long-term outcomes such as cardiac disease or stroke. Further, the estimated change/variability in an individual’s glucose trajectory can be used to establish clinically meaningful and patient-specific thresholds that, when coupled with probabilistic predictive inference, provide a useful medical-monitoring tool.

scholarly journals Cutaneous Reactions to Continuous Glucose Monitoring and Continuous Subcutaneous Insulin Infusion Devices in Type 1 Diabetes Mellitus

2020 ◽  
pp. 193229682091889 ◽  
Author(s):  
Rachel S. Rigo ◽  
Laura E. Levin ◽  
Donald V. Belsito ◽  
Maria C. Garzon ◽  
Rachelle Gandica ◽  
...  
Keyword(s):  
Type 1 Diabetes ◽  
Continuous Glucose Monitoring ◽  
Continuous Subcutaneous Insulin Infusion ◽  
Insulin Infusion ◽  
Diabetes Management ◽  
Demographic Data ◽  
Glucose Monitoring ◽  
Subcutaneous Insulin ◽  
Cutaneous Reactions

Background: Continuous glucose monitoring (CGM) and continuous subcutaneous insulin infusion (CSII) are the standard of care for type 1 diabetes in children. There is little reported on device-related skin complications and treatment options. This study documents cutaneous reactions to CGM and CSII devices in children and young adults with type 1 diabetes. Methods: One hundred and twenty-one subjects (3-25 years) with type 1 diabetes and CGM and/or CSII use were recruited over a three-month period from the Naomi Berrie Diabetes Center at Columbia University Irving Medical Center. A five-question survey was completed for each subject detailing demographic data, diabetes management, and device-related skin complications. Results: Sixty percent of subjects reported skin complications related to CGM and/or CSII use. Terms most frequently used to describe cutaneous reactions were “red,” “itchy,” “painful,” and “rash.” Subjects who used both CGM and CSII were more likely to report skin problems than those who used only CSII (odds ratio 2.9, [95% confidence interval: 1.2-6.7]; P = .015). There were no associations between skin complications and sex or race/ethnicity. Twenty-two percent of subjects with adverse skin event(s) discontinued use of a device due to their skin problem. Seven percent were evaluated by a dermatologist. Eighty-one percent used a range of products to treat their symptoms, with variable perceived clinical outcomes. Conclusions: Skin complications related to CSII or CGM devices are commonly reported in pediatric patients with type 1 diabetes and may lead to interruption or discontinuation of device use. Future studies are needed to elucidate the causes of these reactions and determine the best methods for prevention.

scholarly journals Technology for Augmenting Type 1 Diabetes Mellitus Management

2019 ◽  
Vol 24 (2) ◽  
pp. 99-106
Author(s):  
Michelle Condren ◽  
Samie Sabet ◽  
Laura J. Chalmers ◽  
Taylor Saley ◽  
Jenna Hopwood
Keyword(s):  
Diabetes Mellitus ◽  
Type 1 Diabetes ◽  
Type 1 Diabetes Mellitus ◽  
Continuous Glucose Monitoring ◽  
Diabetes Management ◽  
Insulin Pump ◽  
Glucose Monitoring ◽  
Insulin Delivery ◽  
Diabetes Mellitus Management

Type 1 diabetes mellitus has witnessed significant progress in its management over the past several decades. This review highlights technologic advancements in type 1 diabetes management. Continuous glucose monitoring systems are now available at various functionality and cost levels, addressing diverse patient needs, including a recently US Food and Drug Administration (FDA)–approved implantable continuous glucose monitoring system (CGMS). Another dimension to these state-of-the-art technologies is CGMS and insulin pump integration. These integrations have allowed for CGMS-based adjustments to basal insulin delivery rates and suspension of insulin delivery when a low blood glucose event is predicted. This review also includes a brief discussion of upcoming technologies such as patch-based CGMS and insulin-glucagon dual-hormonal delivery.

Healthcare Utilization, Costs, and Adverse Events of Real-Time Continuous Glucose Monitoring (rtCGM) versus Traditional Blood Glucose Monitoring (BG) among US Adults with Type 1 Diabetes

2021 ◽  
pp. 193229682110315
Author(s):  
Benjamin Wong ◽  
Yalin Deng ◽  
Karen L. Rascati
Keyword(s):  
Type 1 Diabetes ◽  
Blood Glucose ◽  
Adverse Events ◽  
Real Time ◽  
Healthcare Utilization ◽  
Continuous Glucose Monitoring ◽  
Glucose Monitoring ◽  
Medical Costs ◽  
Blood Glucose Monitoring

Objective: To compare healthcare utilization, costs, and incidence of diabetes-specific adverse events (ie, hyperglycemia, diabetic ketoacidosis, and hypoglycemia) in type 1 diabetes adult patients using real-time continuous glucose monitoring (rtCGM) versus traditional blood glucose monitoring (BG). Methods: Adult patients (≥18 years old) with type 1 diabetes in a large national administrative claims database between 2013 and 2015 were identified. rtCGM patients with 6-month continuous health plan enrollment and ≥1 pharmacy claim for insulin during pre-index and post-index periods were propensity-score matched with BG patients. Healthcare utilization associated with diabetic adverse events were examined. A difference-in-difference (DID) method was used to compare the change in costs between rtCGM and BG cohorts. Results: Six-month medical costs for rtCGM patients ( N = 153) increased from pre- to post-index period, while they decreased for matched BG patients ( N = 153). DID analysis indicated a $2,807 ( P = .062) higher post-index difference in total medical costs for rtCGM patients. Pharmacy costs for both cohorts increased. DID analysis indicated a $1,775 ( P < .001) higher post-index difference in pharmacy costs for rtCGM patients. The incidence of hyperglycemia for both cohorts increased minimally from pre- to post-index period. The incidence of hypoglycemia for rtCGM patients decreased, while it increased marginally for BG patients. Inpatient hospitalizations for rtCGM and BG patients increased and decreased marginally, respectively. Conclusions: rtCGM users had non-significantly higher pre-post differences in medical costs but significantly higher pre-post differences in pharmacy costs (mostly due to the rtCGM costs themselves) compared to BG users. Changes in adverse events were minimal.

Sign in / Sign up

Export Citation Format

Share Document