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- Klonoff, D. C., et al.
(författare)
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A Glycemia Risk Index (GRI) of Hypoglycemia and Hyperglycemia for Continuous Glucose Monitoring Validated by Clinician Ratings
- 2022
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Ingår i: Journal of Diabetes Science and Technology. - : SAGE Publications. - 1932-2968.
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Tidskriftsartikel (refereegranskat)abstract
- Background: A composite metric for the quality of glycemia from continuous glucose monitor (CGM) tracings could be useful for assisting with basic clinical interpretation of CGM data. Methods: We assembled a data set of 14-day CGM tracings from 225 insulin-treated adults with diabetes. Using a balanced incomplete block design, 330 clinicians who were highly experienced with CGM analysis and interpretation ranked the CGM tracings from best to worst quality of glycemia. We used principal component analysis and multiple regressions to develop a model to predict the clinician ranking based on seven standard metrics in an Ambulatory Glucose Profile: very low–glucose and low-glucose hypoglycemia; very high–glucose and high-glucose hyperglycemia; time in range; mean glucose; and coefficient of variation. Results: The analysis showed that clinician rankings depend on two components, one related to hypoglycemia that gives more weight to very low-glucose than to low-glucose and the other related to hyperglycemia that likewise gives greater weight to very high-glucose than to high-glucose. These two components should be calculated and displayed separately, but they can also be combined into a single Glycemia Risk Index (GRI) that corresponds closely to the clinician rankings of the overall quality of glycemia (r = 0.95). The GRI can be displayed graphically on a GRI Grid with the hypoglycemia component on the horizontal axis and the hyperglycemia component on the vertical axis. Diagonal lines divide the graph into five zones (quintiles) corresponding to the best (0th to 20th percentile) to worst (81st to 100th percentile) overall quality of glycemia. The GRI Grid enables users to track sequential changes within an individual over time and compare groups of individuals. Conclusion: The GRI is a single-number summary of the quality of glycemia. Its hypoglycemia and hyperglycemia components provide actionable scores and a graphical display (the GRI Grid) that can be used by clinicians and researchers to determine the glycemic effects of prescribed and investigational treatments.
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| 2. |
- Cameron, F. J., et al.
(författare)
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Are family factors universally related to metabolic outcomes in adolescents with Type 1 diabetes?
- 2008
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Ingår i: Diabetic Medicine. - : Wiley-Blackwell Publishing Inc.. - 0742-3071 .- 1464-5491. ; 25:4, s. 463-468
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Tidskriftsartikel (refereegranskat)abstract
- AIMS: To assess the importance of family factors in determining metabolic outcomes in adolescents with Type 1 diabetes in 19 countries.METHODS: Adolescents with Type 1 diabetes aged 11-18 years, from 21 paediatric diabetes care centres, in 19 countries, and their parents were invited to participate. Questionnaires were administered recording demographic data, details of insulin regimens, severe hypoglycaemic events and number of episodes of diabetic ketoacidosis. Adolescents completed the parental involvement scale from the Diabetes Quality of Life for Youth--Short Form (DQOLY-SF) and the Diabetes Family Responsibility Questionnaire (DFRQ). Parents completed the DFRQ and a Parental Burden of Diabetes score. Glycated haemoglobin (HbA(1c)) was analysed centrally on capillary blood.RESULTS: A total of 2062 adolescents completed a questionnaire, with 2036 providing a blood sample; 1994 parents also completed a questionnaire. Family demographic factors that were associated with metabolic outcomes included: parents living together (t = 4.1; P < 0.001), paternal employment status (F = 7.2; d.f. = 3; P < 0.001), parents perceived to be over-involved in diabetes care (r = 0.11; P < 0.001) and adolescent-parent disagreement on responsibility for diabetes care practices (F = 8.46; d.f. = 2; P < 0.001). Although these factors differed between centres, they did not account for centre differences in metabolic outcomes, but were stronger predictors of metabolic control than age, gender or insulin treatment regimen.CONCLUSIONS: Family factors, particularly dynamic and communication factors such as parental over-involvement and adolescent-parent concordance on responsibility for diabetes care appear be important determinants of metabolic outcomes in adolescents with diabetes. However, family dynamic factors do not account for the substantial differences in metabolic outcomes between centres
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| 5. |
- Garg, S, et al.
(författare)
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Self-monitoring of blood glucose
- 2010
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Ingår i: International journal of clinical practice. Supplement. - : Hindawi Limited. - 1368-504X .- 1368-5031 .- 1742-1241. ; 64:166, s. 1-69
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Tidskriftsartikel (refereegranskat)
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| 6. |
- Gerhardsson, P., et al.
(författare)
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The SWEET Project 10-Year Benchmarking in 19 Countries Worldwide Is Associated with Improved HbA1c and Increased Use of Diabetes Technology in Youth with Type 1 Diabetes
- 2021
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Ingår i: Diabetes Technology & Therapeutics. - : Mary Ann Liebert Inc. - 1520-9156 .- 1557-8593. ; 23:7
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Tidskriftsartikel (refereegranskat)abstract
- Objective: The international SWEET registry (NCT04427189) was initiated in 2008 to improve outcomes in pediatric diabetes. A 10-year follow-up allowed studying time trends of key quality indicators in 22 centers from Europe, Australia, Canada, and India in youth with type 1 diabetes (T1D). Methods: Aggregated data per person with T1D <25 years of age were compared between 2008-2010 and 2016-2018. Hierarchic linear and logistic regression models were applied. Models were adjusted for gender, age-, and diabetes duration groups. Results: The first and second time periods included 4930 versus 13,654 persons, 51% versus 52% male, median age 11.3 [Q1; Q3: 7.9; 14.5] versus 13.3 [9.7; 16.4] years, and T1D duration 2.9 [0.8; 6.4] versus 4.2 [1.4; 7.7] years. The adjusted hemoglobin A1C (HbA1c) improved from 68 (95% confidence interval [CI]: 66-70) to 63 (60; 65) mmol/mol (P<0.0001) or 8.4 (95% CI: 8.2-8.6) to 7.9 (7.6; 8.1) % (P<0.0001). Across all age groups, HbA1c was significantly lower in pump and sensor users. Severe hypoglycemia declined from 3.8% (2.9; 5.0) to 2.4% (1.9; 3.1) (P<0.0001), whereas diabetic ketoacidosis events increased significantly with injection therapy only. Body mass index-standard deviation score also showed significant improvements 0.55 (0.46; 0.64) versus 0.42 (0.33; 0.51) (P<0.0001). Over time, the increase in pump use from 34% to 44% preceded the increase in HbA1c target achievement (<53mmol/mol) from 21% to 34%. Conclusions: Twice yearly benchmarking within the SWEET registry was associated with significantly improved HbA1c on a background of increasing pump and sensor use for 10 years in young persons with T1D.
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| 9. |
- Anderson, B. J., et al.
(författare)
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Factors associated with diabetes-specific health-related quality of life in youth with type 1 diabetes: The global teens study
- 2017
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Ingår i: Diabetes Care. - : American Diabetes Association. - 0149-5992 .- 1935-5548. ; 40:8, s. 1002-1009
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Tidskriftsartikel (refereegranskat)abstract
- OBJECTIVE Our objective was to characterize diabetes-specific health-related quality of life (D-HRQOL) in a global sample of youth and young adults with type 1 diabetes (T1D) and to identify the main factors associated with quality of life. RESEARCH DESIGN AND METHODS The TEENs study was an international, cross-sectional study of youth, 8-25 years of age, with T1D. Participants (N= 5,887)were seen in clinical sites in 20 countries across 5 continents enrolled for 3 predetermined age groups: 8-12, 13-18, and 19-25 years of age. To assess D-HRQOL, participants completed the PedsQL DiabetesModule 3.0 and were interviewed about family-related factors. Specifics about treatment regimen and self-management behaviors were collected from medical records. RESULTS Across all age groups, females reported significantly lower D-HRQOL than didmales. The 19-25-year age group reported the lowest D-HRQOL. Multivariate linear regression analyses revealed that D-HRQOL was significantly related to HbA1c; the lower the HbA1c, the better the D-HRQOL. Three diabetes-management behaviors were significantly related to better D-HRQOL: advanced methods used to measure food intake;more frequent daily blood glucose monitoring; and more days per week that youth had 30 min of physical activity. CONCLUSIONS In all three age groups, the lower the HbA1c, the better the D-HRQOL, underscoring the strong association between better D-HRQOL and optimal glycemic control in a global sample of youth and young adults. Three diabetes-management behaviors were also related to optimal glycemic control, which represent potentially modifiable factors for clinical interventions to improve D-HRQOL as well as glycemic control.
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| 10. |
- Bolinder, J, et al.
(författare)
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New insulins and insulin therapy
- 2015
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Ingår i: Diabetes technology & therapeutics. - : Mary Ann Liebert Inc. - 1557-8593 .- 1520-9156. ; 1717 Suppl 1, s. S39-S46
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Tidskriftsartikel (refereegranskat)
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