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- Klonoff, D. C., et al.
(author)
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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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In: Journal of Diabetes Science and Technology. - : SAGE Publications. - 1932-2968.
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Journal article (peer-reviewed)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. |
- Adolfsson, Peter, 1963, et al.
(author)
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Accuracy and reliability of continuous glucose monitoring in individuals with type 1 diabetes during recreational diving
- 2009
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In: Diabetes Technology & Therapeutics. - : Mary Ann Liebert. - 1557-8593 .- 1520-9156. ; 11:8, s. 493-7
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Journal article (peer-reviewed)abstract
- BACKGROUND: This study evaluated the accuracy and function of the Continuous Glucose Monitoring System (CGMS, Minneapolis, MN) during recreational scuba diving in individuals with type 1 diabetes. METHODS: Twenty-four adults, 12 with type 1 diabetes and 12 healthy controls, were studied during five recreational scuba dives performed on three consecutive days. All the participants used the CGMS on all the days and during all the dives. Comparisons were made between plasma glucose at specific time intervals and the CGMS. RESULTS: The recording by the CGMS was robust, with few sensor problems. The mean sensor survival time was >48 h. Eighty-five percent of the individuals used one sensor during the entire length of the trial. The overall mean absolute difference (MAD) within the group with diabetes was 14.4 +/- 6%, and the corresponding daily figures were 23.2 +/- 19.3% on day 1, 11.6 +/- 4.5% on day 2, and 11.2 +/- 5.7% on day 3. A significant improvement regarding MAD when day 1 was compared with day 2 and 3 (P < 0.05). With a limit set at 70 mg/dL, hypoglycemia pre- and post-dive was detected with a positive predictive value of 0.39, negative predictive value of 0.98, sensitivity of 0.64, and specificity of 0.94. CONCLUSIONS: We demonstrate that the CGMS was used with accuracy in such difficult conditions as scuba diving and provided robust information on glucose variations.
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| 5. |
- Tian, Tiffany, et al.
(author)
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Diabetes Technology Meeting 2023
- 2024
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In: Journal of Diabetes Science and Technology. - : Diabetes Technology Society. - 1932-2968.
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Journal article (other academic/artistic)abstract
- Diabetes Technology Society hosted its annual Diabetes Technology Meeting from November 1 to November 4, 2023. Meeting topics included digital health; metrics of glycemia; the integration of glucose and insulin data into the electronic health record; technologies for insulin pumps, blood glucose monitors, and continuous glucose monitors; diabetes drugs and analytes; skin physiology; regulation of diabetes devices and drugs; and data science, artificial intelligence, and machine learning. A live demonstration of a personalized carbohydrate dispenser for people with diabetes was presented.
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| 8. |
- de Valk, H.W., et al.
(author)
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Switching to insulin degludec from other basal insulins reduces rates of hypoglycemia across patient subgroups in routine clinical care : The ReFleCT study
- 2019
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Conference paper (other academic/artistic)abstract
- ReFLeCT, a multicenter, prospective, observational study evaluated the safety and effectiveness of switching from other basal insulins to insulin degludec (degludec) in patients with type 1 (T1D) or type 2 diabetes (T2D) in routine clinical practice. ReFLeCT comprised a 4-week baseline period (pre-switch basal insulin) and 12-month follow-up period (degludec). The primary endpoint of overall hypoglycemia reported in patient diaries was reduced during the 12-month follow-up period vs. baseline, without compromising glycemic control. In pre-specified subgroup analyses of the primary endpoint, we assessed if the overall result was robust in different subgroups, characterized according to baseline A1C (<7.5, ≥7.5-<8.5, ≥8.5-<9.5, ≥9.5%), diabetes duration (quartiles) and physician’s reason for initiating degludec (hypoglycemia [Yes/No]). The estimated rate ratios of hypoglycemia were similar within subgroups (no significant interactions), and demonstrated overall lower rates (the majority significantly lower) during the 12-month follow-up periods vs. baseline in patients with T1D or T2D (Figure). Irrespective of baseline characteristics or physician’s reason for initiating degludec, switching to degludec from other basal insulins reduced rates of overall hypoglycemia in patients with T1D or T2D, in routine clinical practice.
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| 9. |
- Fadini, G. P., et al.
(author)
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Reduced rates of overall hypoglycaemia in patients with Type 1 diabetes after switching to insulin degludec : A European, multinational, multicentre, prospective, observational study (ReFLeCT)
- 2019
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In: Diabetic Medicine. - : John Wiley & Sons. - 0742-3071 .- 1464-5491. ; 36:Suppl. 1, s. 60-60
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Journal article (other academic/artistic)abstract
- Aims: To evaluate the safety and effectiveness of switching to once‐daily insulin degludec (degludec) from other basal insulins in patients with Type 1 diabetes in routine clinical practice.Methods: ReFLeCT was a multicentre, prospective, observational study in seven European countries in patients (≥18 years) with Type 1 or Type 2 diabetes, whose physician planned to switch their basal insulin to degludec (ClinicalTrials.gov: NCT02392117). ReFLeCT comprised a four week baseline period (pre‐switch basal insulin) and a 12 month follow‐up period (degludec). For the Type 1 diabetes cohort presented here, primary endpoint was changed from baseline in the rate of overall hypoglycaemia recorded in patient diaries.Results: Baseline characteristics (mean [SD]) for patients with Type 1 diabetes (n = 556) were: age 47.4 (15.7) years, diabetes duration 21.4 (13.5) years, HbA1c 8.1 (1.3)% (65.0 [14.2]mmol/mol), fasting plasma glucose (FPG) 8.8 (3.9)mmol/l, pre‐switch basal insulin dose 25.0 (14.1)u/day, body mass index (BMI) 26.1 (4.7)kg/m2 and body weight 76.4 (15.6)kg. Estimated rate ratios of overall (0.80 [0.74; 0.88]95%CI), non‐severe (0.81 [0.74; 0.88]95%CI), severe (American Diabetes Association definition; 0.28 [0.14; 0.56]95%CI) and nocturnal (00:01−05:59am; 0.61 [0.50; 0.73]95%CI) hypoglycaemia illustrated significantly lower rates during 12 month follow‐up vs baseline. HbA1c, FPG and basal insulin dose decreased significantly by –0.15% [–0.23; –0.07]95%CI (–1.64mmol/mol [–2.51; –0.77]95%CI), –0.54mmol/l [–0.95; –0.14]95%CI and –2.21u/day [–2.90; –1.53]95%CI, respectively, and body weight was 0.79kg [0.38; 1.20]95%CI higher, at 12 month follow‐up vs baseline.Conclusion: Switching from other basal insulins to degludec significantly reduced the rates of hypoglycaemia and improved glycaemic control at lower basal insulin doses in patients with Type 1 diabetes in routine clinical practice.
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| 10. |
- Faerch, Mia, et al.
(author)
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Skewed X-chromosome inactivation causing diagnostic misinterpretation in congenital nephrogenic diabetes insipidus
- 2010
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In: Scandinavian Journal of Urology and Nephrology. - : Taylor & Francis. - 0036-5599 .- 1651-2065. ; 44:5, s. 324-330
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Journal article (peer-reviewed)abstract
- OBJECTIVE: To establish the clinical phenotype and genetic background in a family with diabetes insipidus.MATERIAL AND METHODS: The subjects were a sister and brother, aged 34 and 27 years, respectively, with a history of polyuria since infancy. Clinical testing confirmed a diagnosis of congenital nephrogenic diabetes insipidus (CNDI) in both. Samples of purified genomic DNA were analysed.RESULTS: The sequence of the entire coding region of the AQP2 gene as well as the AVPR2 gene was determined. Sequence analysis revealed no variations in the AQP2 gene. A missense variation in exon 2 of the AVPR2 gene (g.685G>A), predicting a p.Asp85Asn substitution, was identified in the X-chromosome of the affected male and one allele in the sister and the asymptomatic mother. The p.Asp85Asn variation in AVPR2 is known to cause CNDI, and has previously been described as inducing a partial phenotype treatable with dDAVP. However, in this family dDAVP had no influence on urine osmolality, whereas combination therapy with indomethacin and hydrochlorothiazide increased urine osmolality to 299 mosm/l in the proband. A skewed X-inactivation pattern (93%) occurring in the normal X allele was recognized in the sister.CONCLUSIONS: This study demonstrates the effect of skewed X-chromosome inactivation associated with X-linked CNDI. Polydipsia in early childhood could be due to X-linked CNDI despite affecting both genders. The significant heterogeneity in the clinical phenotype in CNDI carries a risk of diagnostic misinterpretation and emphasizes the need for genetic characterization. Treatment combining indomethacin and hydrochlorothiazide results in a marked response on both urine output and urine osmolality.
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