scholarly journals Continuous Glucose and Heart Rate Monitoring in Young People with Type 1 Diabetes: An Exploratory Study about Perspectives in Nocturnal Hypoglycemia Detection

Metabolites ◽  
2020 ◽  
Vol 11 (1) ◽  
pp. 5
Author(s):  
Valeria Calcaterra ◽  
Pietro Bosoni ◽  
Lucia Sacchi ◽  
Gian Vincenzo Zuccotti ◽  
Savina Mannarino ◽  
...  
Keyword(s):  
Heart Rate ◽  
Type 1 Diabetes ◽  
Exploratory Study ◽  
Glucose Monitoring ◽  
Nocturnal Hypoglycemia ◽  
Significant Difference ◽  
Study Support ◽  
Almost All ◽  
Fitness Trackers

A combination of information from blood glucose (BG) and heart rate (HR) measurements has been proposed to investigate the HR changes related to nocturnal hypoglycemia (NH) episodes in pediatric subjects with type 1 diabetes (T1D), examining whether they could improve hypoglycemia prediction. We enrolled seventeen children and adolescents with T1D, monitored on average for 194 days. BG was detected by flash glucose monitoring devices, and HR was measured by wrist-worn fitness trackers. For each subject, we compared HR values recorded in the hour before NH episodes (before-hypoglycemia) with HR values recorded during sleep intervals without hypoglycemia (no-hypoglycemia). Furthermore, we investigated the behavior after the end of NH. Nine participants (53%) experienced at least three NH. Among these nine subjects, six (67%) showed a statistically significant difference between the before-hypoglycemia HR distribution and the no-hypoglycemia HR distribution. In all these six cases, the before-hypoglycemia HR median value was higher than the no-hypoglycemia HR median value. In almost all cases, HR values after the end of hypoglycemia remained higher compared to no-hypoglycemia sleep intervals. This exploratory study support that HR modifications occur during NH in T1D subjects. The identification of specific HR patterns can be helpful to improve NH detection and prevent fatal events.

136-OR: Nocturnal Hypoglycemia Prevention Strategies Used by People with Type 1 Diabetes According to Their Insulin Delivery and Blood Glucose Monitoring Technology

Diabetes ◽  
2021 ◽  
Vol 70 (Supplement 1) ◽  
pp. 136-OR
Author(s):  
MERYEM K. TALBO ◽  
VIRGINIE MESSIER ◽  
KATHERINE DESJARDINS ◽  
RÉMI RABASA-LHORET ◽  
ANNE-SOPHIE BRAZEAU ◽  
...  
Keyword(s):  
Type 1 Diabetes ◽  
Blood Glucose ◽  
Glucose Monitoring ◽  
Insulin Delivery ◽  
Blood Glucose Monitoring ◽  
Prevention Strategies ◽  
Monitoring Technology ◽  
Nocturnal Hypoglycemia

Prevalence of Nocturnal Hypoglycemia in Pediatric Type 1 Diabetes: A Pilot Study Using Continuous Glucose Monitoring

2011 ◽  
Vol 159 (2) ◽  
pp. 297-302.e1 ◽  
Author(s):  
Alexandra Ahmet ◽  
Simon Dagenais ◽  
Nick J. Barrowman ◽  
Catherine J. Collins ◽  
Margaret L. Lawson
Keyword(s):  
Type 1 Diabetes ◽  
Pilot Study ◽  
Continuous Glucose Monitoring ◽  
Glucose Monitoring ◽  
Nocturnal Hypoglycemia ◽  
Pediatric Type 1 Diabetes

scholarly journals Specific features of pregnancy in patients with type 1 diabetes in the prepubertal period. Results of a 15-year long clinical observation

2009 ◽  
Vol 12 (4) ◽  
pp. 28-31
Author(s):  
Lyubov' Leonidovna Bolotskaya ◽  
Natalya Vladimirovna Efremova ◽  
Yury Ivanovich Suntsov
Keyword(s):  
Type 1 Diabetes ◽  
Diabetic Complications ◽  
Insulin Dose ◽  
Research Centre ◽  
Nocturnal Hypoglycemia ◽  
Significant Difference ◽  
Before And After ◽  
Pregnancy And Delivery ◽  
The Difference

Aim. To evaluate effect of different factors on pregnancy course in patients with type 1 diabetes mellitus developing in the prepubertal period. Materials and methods. The study based at Endocrinological Research Centre included 77 women with prepubertal diabetes 18 of whom developedpregnancy that ended in delivery. Results. As per 2009, the age of the patients is 26,6?4,6 years. They became pregnant at 23,2?3,3 years and had had diabetes since the age of9,6?4,8 years. Their HbA1c level before and after pregnancy was 8,6?1,4 and 6,8?1,6% respectively, the difference being insignificant (p=0,3).Significant difference was documented between these HbA1c levels and that during pregnancy (p=0,0004 and 0.003 respectively). Nine (56,2%) patientsused ultrashort-acting insulin analogs and the remaining 7 (43,7%) recombinant human insulins. The mean insulin dose was 43,7?11 U/din the 1st trimester, 51,8?13,7 U/d in the 2bd trimester, and 45,3?10,8 U/d after delivery. 16 (88%) of the patients reported frequent hypoglycemia,five (27,8%) of them had episodes of severe daytime and nocturnal hypoglycemia. 11 (61%) developed microvascular diabetic complications beforepregnancy, with 9 (50%) having DR and 4 (22,2%) DN (microalbuminuria). The delivery occurred on weeks 36-37 in 7 (38,9%) women. Naturaland cesarean section deliveries took place in one and 17 (94,4%) patients respectively. Conclusion. Long-term follow-up of patients wit DM1 in accordance with algorithms of specialized medical aid to DM1 patients in Russia at a multidisciplinaryendocrinological centre decreases the risk of pregnancy and delivery complications and that of microvascular diabetic complications

Nocturnal hypoglycemia detected with the continuous glucose monitoring system in pediatric patients with type 1 diabetes

2002 ◽  
Vol 141 (5) ◽  
pp. 625-630 ◽  
Author(s):  
Francine Ratner Kaufman ◽  
Juliana Austin ◽  
Aaron Neinstein ◽  
Lily Jeng ◽  
Mary Halvorson ◽  
...  
Keyword(s):  
Type 1 Diabetes ◽  
Monitoring System ◽  
Continuous Glucose Monitoring ◽  
Pediatric Patients ◽  
Glucose Monitoring ◽  
Continuous Glucose Monitoring System ◽  
Nocturnal Hypoglycemia

Continuous Glucose Monitoring in Type 1 Diabetes Pregnancy Shows that Fetal Heart Rate Correlates with Maternal Glycemia

2015 ◽  
Vol 17 (9) ◽  
pp. 619-624 ◽  
Author(s):  
Katarzyna Cypryk ◽  
Lukasz Bartyzel ◽  
Monika Zurawska-Klis ◽  
Wojciech Mlynarski ◽  
Agnieszka Szadkowska ◽  
...  
Keyword(s):  
Heart Rate ◽  
Type 1 Diabetes ◽  
Continuous Glucose Monitoring ◽  
Fetal Heart Rate ◽  
Fetal Heart ◽  
Glucose Monitoring

scholarly journals Prediction of Nocturnal Hypoglycemia From Continuous Glucose Monitoring Data in People With Type 1 Diabetes: A Proof-of-Concept Study

2019 ◽  
Vol 14 (2) ◽  
pp. 250-256 ◽  
Author(s):  
Morten H. Jensen ◽  
Claus Dethlefsen ◽  
Peter Vestergaard ◽  
Ole Hejlesen
Keyword(s):  
Type 1 Diabetes ◽  
Continuous Glucose Monitoring ◽  
Glucose Monitoring ◽  
Feature Subset ◽  
Proof Of Concept ◽  
Forward Selection ◽  
Operating Characteristics ◽  
Concept Study ◽  
Nocturnal Hypoglycemia

Background: Intensive insulin therapy has documented benefits but may also come at the expense of a higher risk of hypoglycemia. Hypoglycemia is associated with higher all-cause mortality and nocturnal hypoglycemia has been associated with the sudden dead-in-bed syndrome. This proof-of-concept study sought to investigate if nocturnal hypoglycemia can be predicted. Method: Continuous glucose monitoring, meal, insulin, and demographics data from 463 people with type 1 diabetes were obtained from a clinical trial. A total of 4721 nights without or with hypoglycemia (429) were available including data from three consecutive days before the night. Thirty-two features were calculated based on these data. Data were split into 20% participants for evaluation and 80% for training. The optimal feature subset was found from forward selection of the 80% participants with linear discriminant analysis as basis for the classifier. Results: The forward selection resulted in a feature subset of four features. The evaluation resulted in an area under the receiver operating characteristics curve (ROC-AUC) of 0.79 leading to a sensitivity and a specificity of, e.g., 75% and 70%. Conclusions: It was possible to predict nocturnal hypoglycemic episodes with a ROC-AUC of 0.79. A warning at bedtime about nocturnal hypoglycemia could be of great help for people with diabetes to enable preventive actions. Further development of the proposed algorithm is needed for implementation in everyday practice.

scholarly journals Blood Glucose Levels and Performance in a Sports Camp for Adolescents with Type 1 Diabetes Mellitus: A Field Study

2010 ◽  
Vol 2010 ◽  
pp. 1-8 ◽  
Author(s):  
Dylan Kelly ◽  
Jill K. Hamilton ◽  
Michael C. Riddell
Keyword(s):  
Diabetes Mellitus ◽  
Type 1 Diabetes ◽  
Blood Glucose ◽  
Type 1 Diabetes Mellitus ◽  
Glucose Monitoring ◽  
Sports Performance ◽  
Nocturnal Hypoglycemia ◽  
Glucose Levels ◽  
Skill Performance

Background. Acute hypo- and hyperglycemia causes cognitive and psychomotor impairment in individuals with type 1 diabetes mellitus (T1DM) that may affect sports performance.Objective. To quantify the effect of concurrent and antecedent blood glucose concentrations on sports skills and cognitive performance in youth with T1DM attending a sports camp.Design/Methods. 28 youth (ages 6–17 years) attending a sports camp carried out multiple skill-based tests (tennis, basketball, or soccer skills) with glucose monitoring over 4 days. Glucose levels at the time of testing were categorized as (a) hypoglycemic (<3.6 mM); (b) within an acceptable glycemic range (3.6–13.9 mM); or (c) hyperglycemic (>13.9 mM).Results. Overall, sports performance skill was~20% lower when glucose concentrations were hypoglycemic compared to either acceptable or hyperglycemic at the time of skill testing (). During Stroop testing, “reading” and “color recognition” also degraded during hypoglycemia, while “interference” scores improved (). Nocturnal hypoglycemia was present in 66% of subjects, lasting an average of 84 minutes, but this did not affect sports skill performance the following day.Conclusions. Mild hypoglycemia markedly reduces sports skill performance and cognition in young athletes with T1DM.

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