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Aims The study objective was to explore how upper extremity impairments (UEIs) affect the everyday life and work-life of people with type 1 diabetes (T1D) and to compare them to a control group without T1D to determine if there are diabetes-specific consequences of UEIs. Methods In a controlled cross-sectional study, a survey was distributed across all regions of Denmark. A total of 2174 people with T1D and 827 controls were included in the study population. The survey addressed UEI symptoms, employment status, functional disability, mental well-being and diabetes distress. Data were analysed using multivariable logistic and linear regression. Results Upper extremity impairments were associated with a higher rate of work absence and modification, but no more so for people with T1D than for the control group. Among people with T1D, UEIs were significantly associated with worse mental well-being and diabetes distress, and across all outcomes including functional disability, additive effects were found with an increasing number of coexisting impairments. The impact of UEIs on functional disability was more severe for the T1D group than the control group, but this was primarily due to differences in the number of coexisting impairments. Conclusions Upper extremity impairments have significant negative implications for the work-life and everyday life of people with T1D, and interventions to reduce UEIs and their impact among this group are highly relevant., AIMS: The study objective was to explore how upper extremity impairments (UEIs) affect the everyday life and work-life of people with type 1 diabetes (T1D) and to compare them to a control group without T1D to determine if there are diabetes-specific consequences of UEIs.METHODS: In a controlled cross-sectional study, a survey was distributed across all regions of Denmark. A total of 2174 people with T1D and 827 controls were included in the study population. The survey addressed UEI symptoms, employment status, functional disability, mental well-being and diabetes distress. Data were analysed using multivariable logistic and linear regression.RESULTS: Upper extremity impairments were associated with a higher rate of work absence and modification, but no more so for people with T1D than for the control group. Among people with T1D, UEIs were significantly associated with worse mental well-being and diabetes distress, and across all outcomes including functional disability, additive effects were found with an increasing number of coexisting impairments. The impact of UEIs on functional disability was more severe for the T1D group than the control group, but this was primarily due to differences in the number of coexisting impairments.CONCLUSIONS: Upper extremity impairments have significant negative implications for the work-life and everyday life of people with T1D, and interventions to reduce UEIs and their impact among this group are highly relevant.

OBJECTIVE This study aimed to investigate the association between continuous glucose monitoring (CGM)-derived glycemic metrics and different insulin treatment modalities using real-world data. RESEARCH DESIGN AND METHODS A cross-sectional study at Steno Diabetes Center Copenhagen, Denmark, included individuals with type 1 diabetes using CGM. Data from September 2021 to August 2022 were analyzed if CGM was used for at least 20% of a 4-week period. Individuals were divided into four groups: multiple daily injection (MDI) therapy, insulin pumps with unintegrated CGM (SUP), sensor-augmented pumps with low glucose management (SAP), and automated insulin delivery (AID). The MDI and SUP groups were further subdivided based on CGM alarm features. The primary outcome was percentage of time in range (TIR: 3.9–10.0 mmol/L) for each treatment group. Secondary outcomes included other glucose metrics and HbA1c. RESULTS Out of 6,314 attendees, 3,184 CGM users were included in the analysis. Among them, 1,622 used MDI, 504 used SUP, 354 used SAP, and 561 used AID. Median TIR was 54.0% for MDI, 54.9% for SUP, 62,9% for SAP, and 72,1% for AID users. The proportion of individuals achieving all recommended glycemic targets (TIR >70%, time above range <25%, and time below range <4%) was significantly higher in SAP (odds ratio [OR] 2.4 [95% CI 1.6–3.5]) and AID (OR 9.4 [95% CI 6.7–13.0]) compared with MDI without alarm features. CONCLUSIONS AID appears superior to other insulin treatment modalities with CGM. Although bias may be present because of indications, AID should be considered the preferred choice for insulin pump therapy., OBJECTIVE: This study aimed to investigate the association between continuous glucose monitoring (CGM)-derived glycemic metrics and different insulin treatment modalities using real-world data. RESEARCH DESIGN AND METHODS: A cross-sectional study at Steno Diabetes Center Copenhagen, Denmark, included individuals with type 1 diabetes using CGM. Data from September 2021 to August 2022 were analyzed if CGM was used for at least 20% of a 4-week period. Individuals were divided into four groups: multiple daily injection (MDI) therapy, insulin pumps with unintegrated CGM (SUP), sensor-augmented pumps with low glucose management (SAP), and automated insulin delivery (AID). The MDI and SUP groups were further subdivided based on CGM alarm features. The primary outcome was percentage of time in range (TIR: 3.9-10.0 mmol/L) for each treatment group. Secondary outcomes included other glucose metrics and HbA1c. RESULTS: Out of 6,314 attendees, 3,184 CGM users were included in the analysis. Among them, 1,622 used MDI, 504 used SUP, 354 used SAP, and 561 used AID. Median TIR was 54.0% for MDI, 54.9% for SUP, 62,9% for SAP, and 72,1% for AID users. The proportion of individuals achieving all recommended glycemic targets (TIR >70%, time above range <25%, and time below range <4%) was significantly higher in SAP (odds ratio [OR] 2.4 [95% CI 1.6-3.5]) and AID (OR 9.4 [95% CI 6.7-13.0]) compared with MDI without alarm features. CONCLUSIONS: AID appears superior to other insulin treatment modalities with CGM. Although bias may be present because of indications, AID should be considered the preferred choice for insulin pump therapy.

OBJECTIVE This study aimed to identify current and lifetime prevalence of upper-extremity impairments (UEIs) among individuals with type 1 diabetes and explore factors associated with UEIs. RESEARCH DESIGN AND METHODS In a Danish cross-sectional nationwide case-control study, data on UEIs and health behavior were paired with data on sociodemographics and clinical factors from national registers. Participants included individuals with type 1 diabetes (n = 2,245) and a control group (n = 841). Differences between groups were assessed using binomial proportions and multivariable logistic regression. RESULTS Compared with controls, individuals with type 1 diabetes were significantly (P < 0.05) more likely to experience frozen shoulder (odds ratio [OR] 3.5), carpal tunnel syndrome (OR 3.5), trigger finger (OR 5.0), and Dupuytren contracture (OR 4.3). They were also more likely to have several coexisting impairments than the control group (P < 0.01). Diabetes duration was associated with all four impairments. CONCLUSIONS UEIs are common, particularly among individuals with type 1 diabetes., OBJECTIVE This study aimed to identify current and lifetime prevalence of upper-extremity impairments (UEIs) among individuals with type 1 diabetes and explore factors associated with UEIs. RESEARCH DESIGN AND METHODS In a Danish cross-sectional nationwide case-control study, data on UEIs and health behavior were paired with data on sociodemographics and clinical factors from national registers. Participants included individuals with type 1 diabetes (n = 2,245) and a control group (n = 841). Differences between groups were as-sessed using binomial proportions and multivariable logistic regression. RESULTS Compared with controls, individuals with type 1 diabetes were significantly (P < 0.05) more likely to experience frozen shoulder (odds ratio [OR] 3.5), carpal tunnel syndrome (OR 3.5), trigger finger (OR 5.0), and Dupuytren contracture (OR 4.3). They were also more likely to have several coexisting impairments than the control group (P < 0.01). Diabetes duration was associated with all four impairments. CONCLUSIONS UEIs are common, particularly among individuals with type 1 diabetes.

BACKGROUND: The indication for treatment of type 1 diabetes(T1D) with the sodium-glucose cotransporter 2 inhibitor (SGLT2i) dapagliflozin has been withdrawn in Europe likely because of concern for diabetic ketoacidosis (DKA). We calculated the incidence of DKA in people with T1D treated with SGLT2i in Denmark. METHODS: Clinical data from adults with T1D in Denmark were collected from nine outpatient clinics. Electronic health records made the search for DKA accurate. RESULTS: From a population of 10.500 we observed 134 people treated with SGLT2i over a total period of 222 patient-years. Of those 72% were female, mean age (SD) was 51.4 (13.6) years and median duration of treatment (median, IQR) with an SGLT2i were 12.0 (6.0-29.0) months. The incidence of DKA was zero%. CONCLUSION: In 134 people with T1D treated with SGLT2i we found that none of the participants developed DKA during the treatment.

Aims To present secondary outcome analyses of liraglutide treatment in overweight adults with insulin pump-treated type 1 diabetes (T1D), focusing on changes in body composition and dimensions, and to evaluate changes in food intake to identify potential dietary drivers of liraglutide-associated weight loss. Materials and methods A 26-week randomized placebo-controlled study was conducted to investigate the efficacy and safety of liraglutide 1.8 mg daily in 44 overweight adults with insulin pump-treated T1D and glucose levels above target, and demonstrated significant glycated haemoglobin (HbA1c)- and body weight-reducing effects. For secondary outcome analysis, dual X-ray absorptiometry scans were completed at Weeks 0 and 26, and questionnaire-based food frequency recordings were obtained at Weeks 0, 13 and 26 to characterize liraglutide-induced changes in body composition and food intake. Results Total fat and lean body mass decreased in liraglutide-treated participants (fat mass −4.6 kg [95% confidence interval {CI} −5.7; −3.5], P < 0.001; lean mass −2.5 kg [95% CI −3.2;-1.7], P < 0.001), but remained stable in placebo-treated participants (fat mass −0.3 kg [95% CI −1.3;0.8], P = 0.604; lean mass 0.0 kg [95% CI −0.7;0.7]; P = 0.965 [between-group P values <0.001]). Participants reduced their energy intake numerically more in the liraglutide arm (−1.1 MJ [95% CI −2.0;-0.02], P = 0.02) than in the placebo arm (−0.9 MJ [95% CI −2.0;0.1], P = 0.22), but the between-group difference was statistically insignificant (P = 0.42). However, energy derived from added sugars decreased by 27% in the liraglutide arm compared with an increase of 14% in the placebo arm (P = 0.004). Conclusions Liraglutide lowered fat and lean body mass compared with placebo. Further, liraglutide reduced intake of added sugars. However, no significant difference in total daily energy intake was detected between liraglutide- and placebo-treated pa

Introduction Insulin pump therapy can improve quality of life and glycaemic outcomes for many people with type 1 diabetes (T1D). The multidimensional Steno Tech Survey study aims to investigate why some insulin pump users do not achieve treatment goals. In this article, we present the study design and analyse differences in population characteristics between responders and non-responders. Methods In June 2020, all 1591 insulin pump users (≥ 18 years) in the Capital Region of Denmark were invited to participate in an online questionnaire that evaluated several dimensions of insulin pump self-management and psychosocial health. Demographic, socioeconomic and clinical characteristics, including age, sex and HbA1c, of the cohort were identified via national registries. Predictors of questionnaire response/non-response were explored with logistic regression analysis. Results In the full study population, 58% were female, median age was 42 years and median HbA1c was 58 mmol/mol (7.5%); 30% had HbA1c < 53 mmol/mol (7.0%). In total, 770 individuals (48%) responded to the questionnaire. Logistic regression analysis showed that 50+ years of age (odds ratio [OR] = 2.3, 95% confidence interval [CI]: 1.4–3.8), female sex (OR = 1.3, CI: 1.02–1.6), being married (OR = 1.8, CI: 1.3–2.4) and having long higher education (OR = 1.6, CI: 1.004–2.5) were significantly associated with a higher likelihood of responding to the survey; the opposite was found for HbA1c from 64 to < 75 mmol (8.0–9.0%) (OR = 0.6, CI: 0.4–0.8) and HbA1c ≥ 75 mmol/mol (≥ 9.0%) (OR = 0.2, CI: 0.1–0.3). Conclusions The established Steno Tech cohort enables future analysis of a range of psychosocial and behavioural aspects of insulin pump self-management. Interpretation and generalization of findings should consider observed differences between responders and non-responders.

Background: Diagnostic tests including echocardiography, albuminuria, electrocardiogram (ECG), high-sensitivity troponin I (hs-TnI), and N-terminal prohormone brain natriuretic peptide (NT-proBNP) have been suggested as cardiovascular (CV) risk predictors in type 2 diabetes. We studied the separate and combined prognostic yield of these risk markers. Methods: In all, 1030 patients with type 2 diabetes were recruited from specialized clinics in this prospective cohort study. Full echocardiographic evaluation was feasible in 886 patients in sinus rhythm with adequate image quality. ECG was performed in 998 patients. Albuminuria was measured in 1009 and NT-proBNP/hs-TnI in 933 patients. The end point was a composite of CV events. Results: The median follow-up was 4.7 years (interquartile range: 4.0-5.3), and 174 patients experienced a CV disease event. All considered markers, except hs-TnI, were significantly (P <.001) associated with the outcome: abnormal echocardiogram (hazard ratio 2.40 [1.70-3.39]), albuminuria 2.01 (1.47-2.76), abnormal ECG (2.27 [1.66-3.08]), high NT-proBNP (>150 pg/mL) 3.05 (2.11-4.40), and hs-TnI 1.12 (0.79-1.59). After adjusting for clinical variables, all remained significantly associated with the end point. However, after adjusting for each other, only NT-proBNP >150 pg/mL remained significantly associated with the end point (2.07 [1.28-3.34], P <.001). Measured by C-statistics, model performance was highest with log2 (NT-proBNP) (0.70 [0.65-0.75]) and similar to clinical variables alone (0.71 [0.67-0.76]). Combining all risk markers only resulted in a very limited increase in C-statistics (0.69 [0.64-0.74]). Conclusions: This study identified NT-proBNP over echocardiography, ECG, and albuminuria in risk prediction in patients with type 2 diabetes. The diagnostic yield in considering more than one risk marker was limited in this population.