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Träfflista för sökning "WFRF:(Bolinder Jan) srt2:(2020-2024)"

Sökning: WFRF:(Bolinder Jan) > (2020-2024)

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1.
  • Isaksson, Sofia Sterner, et al. (författare)
  • Discordance between mean glucose and time in range in relation to HbA1c in individuals with type 1 diabetes: results from the GOLD and SILVER trials
  • 2024
  • Ingår i: DIABETOLOGIA. - : SPRINGER. - 0012-186X .- 1432-0428.
  • Tidskriftsartikel (refereegranskat)abstract
    • Aims/hypothesis Previous studies have shown that individuals with similar mean glucose levels (MG) or percentage of time in range (TIR) may have different HbA(1c) values. The aim of this study was to further elucidate how MG and TIR are associated with HbA(1c). Methods Data from the randomised clinical GOLD trial (n=144) and the follow-up SILVER trial (n=98) of adults with type 1 diabetes followed for 2.5 years were analysed. A total of 596 paired HbA(1c)/continuous glucose monitoring measurements were included. Linear mixed-effects models were used to account for intra-individual correlations in repeated-measures data. Results In the GOLD trial, the mean age of the participants (+/- SD) was 44 +/- 13 years, 63 (44%) were female, and the mean HbA(1c) (+/- SD) was 72 +/- 9.8 mmol/mol (8.7 +/- 0.9%). When correlating MG with HbA(1c), MG explained 63% of the variation in HbA(1c) (r=0.79, p<0.001). The variation in HbA(1c) explained by MG increased to 88% (r=0.94, p value for improvement of fit <0.001) when accounting for person-to-person variation in the MG-HbA(1c) relationship. Time below range (TBR; <3.9 mmol/l), time above range (TAR) level 2 (>13.9 mmol/l) and glycaemic variability had little or no effect on the association. For a given MG and TIR, the HbA(1c) of 10% of individuals deviated by >8 mmol/mol (0.8%) from their estimated HbA(1c) based on the overall association between MG and TIR with HbA(1c). TBR and TAR level 2 significantly influenced the association between TIR and HbA(1c). At a given TIR, each 1% increase in TBR was related to a 0.6 mmol/mol lower HbA(1c) (95% CI 0.4, 0.9; p<0.001), and each 2% increase in TAR level 2 was related to a 0.4 mmol/mol higher HbA(1c) (95% CI 0.1, 0.6; p=0.003). However, neither TIR, TBR nor TAR level 2 were significantly associated with HbA(1c) when accounting for MG. Conclusions/interpretation Inter-individual variations exist between MG and HbA(1c), as well as between TIR and HbA(1c), with clinically important deviations in relatively large groups of individuals with type 1 diabetes. These results may provide important information to both healthcare providers and individuals with diabetes in terms of prognosis and when making diabetes management decisions.
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2.
  • Lind, Marcus, 1976, et al. (författare)
  • Sustained Intensive Treatment and Long-term Effects on HbA(1c) Reduction (SILVER Study) by CGM in People With Type 1 Diabetes Treated With MDI
  • 2021
  • Ingår i: Diabetes Care. - Arlington, VA, United States : American Diabetes Association. - 0149-5992 .- 1935-5548. ; 44:1, s. 141-149
  • Tidskriftsartikel (refereegranskat)abstract
    • OBJECTIVE Continuous glucose monitoring (CGM) reduces HbA(1c) and time spent in hypoglycemia in people with type 1 diabetes (T1D) treated with multiple daily insulin injections (MDI) when evaluated over shorter time periods. It is unclear to what extent CGM improves and helps to maintain glucose control, treatment satisfaction, diabetes distress, hypoglycemic concerns, and overall well-being over longer periods of time. RESEARCH DESIGN AND METHODS The GOLD trial was a randomized crossover trial performed over 16 months of CGM treatment in people with T1D treated with MDI. People completing the trial (n = 141) were invited to participate in the current SILVER extension study in which 107 patients continued CGM treatment over 1 year along with the support of a diabetes nurse every 3 months. RESULTS The primary end point of the change in HbA(1c) over 1.0-1.5 years of CGM use compared with previous self-monitoring of blood glucose during GOLD showed a decrease in HbA(1c) of 0.35% (95% CI 0.19-0.50, P < 0.001). Time spent in hypoglycemia <3.0 mmol/L (54 mg/dL) and <4.0 mmol/L (72 mg/dL) decreased from 2.1% to 0.6% (P < 0.001) and from 5.4% to 2.9% (P < 0.001), respectively. Overall well-being (World Health Organization 5-item well-being index, P = 0.009), treatment satisfaction (Diabetes Treatment Satisfaction Questionnaire, P < 0.001), and hypoglycemic confidence (P < 0.001) increased, while hypoglycemic fear (Hypoglycemia Fear Survey-Worry, P = 0.016) decreased and diabetes distress tended to decrease (Problem Areas in Diabetes Scale, P = 0.06). From randomization and screening in GOLD, HbA(1c) was lowered by 0.45% (P < 0.001) and 0.68% (P < 0.001) after 2.3 and 2.5 years, respectively. CONCLUSIONS The SILVER study supports beneficial long-term effects from CGM on HbA(1c), hypoglycemia, treatment satisfaction, well-being, and hypoglycemic confidence in people with T1D managed with MDI.
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3.
  • Nyström, Thomas, et al. (författare)
  • Evaluation of Effects of Continuous Glucose Monitoring on Physical Activity Habits and Blood Lipid Levels in Persons With Type 1 Diabetes Managed With MDI: An Analysis Based on the GOLD Randomized Trial (GOLD 8)
  • 2024
  • Ingår i: Journal of diabetes science and technology. - : SAGE Publications. - 1932-2968. ; 18:1, s. 89-98
  • Tidskriftsartikel (refereegranskat)abstract
    • Background: People with type 1 diabetes generally view it easier to exercise when having continuous information of the glucose levels. We evaluated whether patients with type 1 diabetes managed with multiple daily insulin injections (MDI) exercised more after initiating continuous glucose monitoring (CGM) and whether the improved glycemic control and well-being associated with CGM translates into improved blood lipids and markers of inflammation. Method: The GOLD trial was a randomized cross-over trial over 16 months where patients used either CGM or capillary self-monitoring of blood glucose (SMBG) over six months, with a four-month wash-out period between the two treatment periods. We compared grade of physical activity, blood lipids, apolipoproteins, and high-sensitivity C-reactive protein (hsCRP) levels during CGM and SMBG. Results: There were 116 patients with information of physical activity estimated by the International Physical Activity Questionnaire (IPAQ) during both CGM and SMBG. No changes were found during CGM or SMBG, IPAQ scores 3305 versus 3878 (P =.16). In 136 participants with information of blood lipid levels with no change in lipid-lowering medication during the two treatment periods, HbA1c differed by 4.2 mmol/mol (NGSP 0.39%) between SMBG and CGM treatment (P <.001). No significant changes existed in low-density lipoprotein, high-density lipoprotein, triglycerides, total cholesterol, apolipoprotein A1, apolipoprotein B1, or hsCRP, during CGM and SMBG. Conclusion: Although many patients experience it easier to perform physical activity when monitoring glucose levels with CGM, it does not influence the amount of physical activity in persons with type 1 diabetes. Blood lipids, apolipoprotein, and hsCRP levels were similar during CGM and SMBG.
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