Real-World Avoidance of Glucose Excursions with the Guardian Connect CGM System’s Predictive Alerts

Cohen, Ohad; Abraham, Sinu Bessy; McMahon, Chantal; Agrawal, Pratik; Vigersky, Robert A.

doi:10.2337/db18-953-p

Cited by 2 publications

(2 citation statements)

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“…The observed hypoglycemia reduction with the G6 system may be partially attributable to its predictive low alert since beneficial reductions in hypoglycemia in association with predictive alerts were noted among users of a CGM system from a different manufacturer. 25 Device utilization rates in this study were from early adopters of the G6 system. This group may be especially inclined to wear and interact with their CGM devices, so utilization rates may be different for patients who are new to CGM or who have been using the G6 system for more than 3 months.…”

Section: Discussionmentioning

confidence: 99%

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Accuracy, Utilization, and Effectiveness Comparisons of Different Continuous Glucose Monitoring Systems

Welsh

Gao

Derdzinski

et al. 2019

Diabetes Technology & Therapeutics

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Background: Accuracy and feature sets of continuous glucose monitoring (CGM) systems may influence device utilization and outcomes. We compared clinical trial accuracy and real-world utilization and effectiveness of two different CGM systems. Materials and Methods: Separately conducted accuracy studies of a fifth-generation and a sixth-generation CGM system involved 50 and 159 adults, respectively. For between-system performance comparisons, propensity score methods were utilized to balance cohort characteristics. Real-world outcomes were assessed in 10,000 anonymized patients who had switched from the fifth-generation to the sixth-generation system and had used connected mobile devices to upload data from both systems, allowing pairwise comparisons of device utilization and glucose concentration distributions. Results: Propensity score-adjusted mean absolute relative differences for the fifth-and sixth-generation systems were 9.0% and 9.9%, and the percentages of values within-20%/20 mg/dL were 93.1% and 92.5%, respectively. The sixth-generation system, but not the fifth-generation system, met accuracy criteria for interoperable CGM systems. Both systems had high real-world utilization rates (93.8% and 95.3% in the fifth-and sixthgeneration systems, respectively). Use of the sixth-generation system was associated with fewer glucose values <55 mg/dL (<3.1 mmol/L) (0.7% vs. 1.1%, P < 0.001) and more values 70-180 mg/dL (3.9-10.0 mmol/L) (57.3% vs. 56.0%, P < 0.001) than the fifth-generation system. Conclusions: CGM performance outcomes can be compared through the propensity score analysis of clinical trial data and pairwise comparisons of real-world data. The systems compared here had nearly equivalent accuracy and utilization rates. Longer term biochemical and psychosocial benefits observed with the fifthgeneration system are also expected with the sixth-generation system.

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Section: Discussionmentioning

confidence: 99%

Section: Discussionmentioning

confidence: 99%

Accuracy, Utilization, and Effectiveness Comparisons of Different Continuous Glucose Monitoring Systems

Welsh

Gao

Derdzinski

et al. 2019

Diabetes Technology & Therapeutics

View full text Add to dashboard Cite

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Digital applications for diet monitoring, planning, and precision nutrition for citizens and professionals: a state of the art

Abeltino,

Riente,

Bianchetti

et al. 2024

Nutrition Reviews

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The objective of this review was to critically examine existing digital applications, tailored for use by citizens and professionals, to provide diet monitoring, diet planning, and precision nutrition. We sought to identify the strengths and weaknesses of such digital applications, while exploring their potential contributions to enhancing public health, and discussed potential developmental pathways. Nutrition is a critical aspect of maintaining good health, with an unhealthy diet being one of the primary risk factors for chronic diseases, such as obesity, diabetes, and cardiovascular disease. Tracking and monitoring one’s diet has been shown to help improve health and weight management. However, this task can be complex and time-consuming, often leading to frustration and a lack of adherence to dietary recommendations. Digital applications for diet monitoring, diet generation, and precision nutrition offer the promise of better health outcomes. Data on current nutrition-based digital tools was collected from pertinent literature and software providers. These digital tools have been designed for particular user groups: citizens, nutritionists, and physicians and researchers employing genetics and epigenetics tools. The applications were evaluated in terms of their key functionalities, strengths, and limitations. The analysis primarily concentrated on artificial intelligence algorithms and devices intended to streamline the collection and organization of nutrition data. Furthermore, an exploration was conducted of potential future advancements in this field. Digital applications designed for the use of citizens allow diet self-monitoring, and they can be an effective tool for weight and diabetes management, while digital precision nutrition solutions for professionals can provide scalability, personalized recommendations for patients, and a means of providing ongoing diet support. The limitations in using these digital applications include data accuracy, accessibility, and affordability, and further research and development are required. The integration of artificial intelligence, machine learning, and blockchain technology holds promise for improving the performance, security, and privacy of digital precision nutrition interventions. Multidisciplinarity is crucial for evidence-based and accessible solutions. Digital applications for diet monitoring and precision nutrition have the potential to revolutionize nutrition and health. These tools can make it easier for individuals to control their diets, help nutritionists provide better care, and enable physicians to offer personalized treatment.

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Real-World Avoidance of Glucose Excursions with the Guardian Connect CGM System’s Predictive Alerts

Cited by 2 publications

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Accuracy, Utilization, and Effectiveness Comparisons of Different Continuous Glucose Monitoring Systems

Accuracy, Utilization, and Effectiveness Comparisons of Different Continuous Glucose Monitoring Systems

Digital applications for diet monitoring, planning, and precision nutrition for citizens and professionals: a state of the art

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