Publications by authors named "Monika Cigler"
Article Synopsis
- The Hypo-METRICS study explored how continuous glucose monitoring (CGM) detects hypoglycemia and its relevance for people with type 1 and insulin-treated type 2 diabetes.
- Researchers tracked 276 type 1 and 321 type 2 diabetes participants using CGM for 10 weeks, correlating sensor-detected hypoglycemia (SDH) with person-reported hypoglycemia (PRH).
- Results indicated that a significant portion of CGM-detected hypoglycemia is asymptomatic, with 65% of low readings (under 70 mg/dL) not accompanied by symptoms and many reported symptoms occurring at higher glucose levels (over 70 mg/dL).
Article Synopsis
- The study aimed to explore how experiencing hypoglycemia affects daily life in adults with type 1 and insulin-treated type 2 diabetes using the Hypo-METRICS app over 70 days.
- Participants reported their hypoglycemia experiences through daily check-ins while wearing a glucose sensor that provided data without their knowledge.
- Results indicated that self-reported hypoglycemia negatively impacted energy, mood, cognitive function, and sleep quality, while sensor-detected hypoglycemia alone did not show these associations.
Objective: The aim of this analysis was to assess glycemic control before and during the coronavirus disease (COVID-19) pandemic.
Methods: Data from 64 (main analysis) and 80 (sensitivity analysis) people with type 1 diabetes (T1D) using intermittently scanned continuous glucose monitoring (isCGM) were investigated retrospectively. The baseline characteristics were collected from electronic medical records.
Article Synopsis
- The Hypo-METRICS app was developed to gather real-time data on the physical, psychological, and social effects of hypoglycaemia in adults with type 1 and insulin-treated type 2 diabetes, overcoming limitations of traditional retrospective reporting methods.
- Participants in the study wore continuous glucose monitors and provided daily assessments of their hypoglycaemia experiences and daily functioning over a 10-week period, achieving a high overall app completion rate of 91%.
- Factors such as older age, routine continuous glucose monitoring use, and greater time spent below critical glucose levels were positively linked to higher app engagement, suggesting the app is a valuable tool for diabetes research.
Article Synopsis
- - The study explored how awareness of hypoglycemia affects the real-time symptoms reported by adults with insulin-treated type 1 (T1D) and type 2 diabetes (T2D) using a smartphone app called Hypo-METRICS.
- - Among the 531 participants, those with impaired awareness of hypoglycemia (IAH) were less likely to report certain symptoms compared to those with normal awareness, especially at lower glucose levels.
- - The findings suggest that the Hypo-METRICS app effectively captures differences in hypoglycemia symptoms based on awareness levels, making it a potentially valuable tool for both research and clinical practices.
Article Synopsis
- The study investigates whether the traditional measurement of nocturnal hypoglycemia (00:00-06:00) accurately captures hypoglycemic episodes in adults with type 1 (T1D) or insulin-treated type 2 diabetes (T2D) by comparing it to actual sleep patterns.
- Participants used continuous glucose monitors and activity trackers to record episodes of hypoglycemia over 10 weeks, revealing that rates of hypoglycemia during actual sleep were higher than those measured during the standard clock-based hours.
- The findings suggest that using a fixed overnight time frame may underestimate the incidence of hypoglycemia while asleep, and future research should incorporate sleep tracking technology for more accurate assessments.
The main objective of diabetes control is to correct hyperglycaemia while avoiding hypoglycaemia, especially in insulin-treated patients. Fear of hypoglycaemia is a hurdle to effective correction of hyperglycaemia because it promotes under-dosing of insulin. Strategies to minimise hypoglycaemia include education and training for improved hypoglycaemia awareness and the development of technologies to allow their early detection and thus minimise their occurrence.
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