Periodontitis in patients with diabetes and its association with diabetes-related complications. A register-based cohort study.

OBJECTIVE: To evaluate the association between type 1 diabetes (T1D)/type 2 diabetes (T2D) and periodontitis and assess the influence of periodontitis on diabetes-related complications. DESIGN: Observational study; longitudinal analysis of register data. SETTING: Swedish primary care centres, hospitals and dental clinics reporting to nationwide healthcare registers (2010-2020). PARTICIPANTS: 28 801 individuals with T1D (13 022 women; mean age 42 years) and 57 839 individuals without diabetes (non-T1D; 26 271 women; mean age 43 years). 251 645 individuals with T2D (110 627 women; mean age 61 years) and 539 805 individuals without diabetes (non-T2D; 235 533 women; mean age 60 years). Diabetes and non-diabetes groups were matched for age, gender and county of residence. MAIN OUTCOME MEASURES: Prevalent periodontitis, diabetes-related complications (retinopathy, albuminuria, stroke and ischaemic heart disease) and mortality. RESULTS: Periodontitis was more common among T2D (22%) than non-T2D (17%). Differences were larger in younger age groups (adjusted RR at age 30-39 years 1.92; 95% CI 1.81 to 2.03) and exacerbated by poor glycaemic control. Periodontitis prevalence was 13% in T1D and 11% in non-T1D; only the subgroup with poor glycaemic control was at higher risk for periodontitis. Periodontitis was associated with a higher incidence of retinopathy (T1D: HR 1.08, 95% CI 1.02 to 1.14; T2D: HR 1.08, 95% CI 1.06 to 1.10) and albuminuria (T1D: HR 1.14, 95% CI 1.06 to 1.23; T2D: HR 1.09, 95% CI 1.07 to 1.11). Periodontitis was not associated with a higher risk for stroke, cardiovascular disease or higher mortality in T1D/T2D. CONCLUSIONS: The association between T2D and periodontitis was strong and exacerbated by poor glycaemic control. For T1D, the association to periodontitis was limited to subgroups with poor glycaemic control. Periodontitis contributed to an increased risk for retinopathy and albuminuria in T1D and T2D.

Prevalence and risk factors for diabetic retinopathy at diagnosis of type 2 diabetes: an observational study of 77 681 patients from the Swedish National Diabetes Registry.

INTRODUCTION: To assess the prevalence of diabetic retinopathy (DR) in persons with newly diagnosed type 2 diabetes (T2D) to understand the potential need for intensified screening for early detection of T2D. RESEARCH DESIGN AND METHODS: Individuals from the Swedish National Diabetes Registry with a retinal photo <2 years after diagnosis of T2D were included. The proportion of patients with retinopathy (simplex or worse) was assessed. Patient characteristics and risk factors at diagnosis were analyzed in relation to DR with logistic regression. RESULTS: In total, 77 681 individuals with newly diagnosed T2D, mean age 62.6 years, 41.1% females were included. Of these, 13 329 (17.2%) had DR.DR was more common in older persons (adjusted OR 1.03 per 10-year increase, 95% CI 1.01 to 1.05) and men compared with women, OR 1.10 (1.05 to 1.14). Other variables associated with DR were OR (95% CI): lower education 1.08 (1.02 to 1.14); previous stroke 1.18 (1.07 to 1.30); chronic kidney disease 1.29 (1.07 to 1.56); treatment with acetylsalicylic acid 1.14 (1.07 to 1.21); ACE inhibitors 1.12 (1.05 to 1.19); and alpha blockers 1.41 (1.15 to 1.73). DR was more common in individuals born in Asia (OR 1.16, 95% CI 1.08 to 1.25) and European countries other than those born in Sweden (OR 1.11, 95% CI 1.05 to 1.18). CONCLUSIONS: Intensified focus on screening of T2D may be needed in Sweden in clinical practice since nearly one-fifth of persons have retinopathy at diagnosis of T2D. The prevalence of DR was higher in men, birthplace outside of Sweden, and those with a history of stroke, kidney disease, and hypertension.

Associations Between HbA1c and Glucose Time in Range Using Continuous Glucose Monitoring in Type 1 Diabetes: Cross-Sectional Population-Based Study.

INTRODUCTION: Continuous glucose monitoring (CGM) introduces novel indicators of glycemic control. METHODS: This cross-sectional study, based on the Swedish National Diabetes Register, examines 27,980 adults with type 1 diabetes. It explores the relationships between HbA1c (glycated hemoglobin) and various CGM-derived metrics, including TIR (time in range, representing the percentage of time within the range of 4-10 mmol/l for 2 weeks), TAR (time above range), TBR (time below range), mean glucose, standard deviation (SD), and coefficient of variation (CV). Pearson correlation coefficients and linear regression models were utilized for estimation. RESULTS: The analysis included 46% women, 30% on insulin pump, 7% with previous coronary heart disease and 64% with retinopathy. Mean ± SD values were age 48 ± 18 years, diabetes duration 25 ± 16 years, HbA1c 58.8 ± 12.8 mmol/mol, TIR 58.8 ± 19.0%, TAR 36.3 ± 20.0%, TBR 4.7 ± 5.4%, mean sensor glucose 9.2 ± 2.0 mmol/l, SD 3.3 ± 1.0 mmol/l, and CV 36 ± 7%. The overall association between HbA1c and TIR was - 0.71 (Pearson's r), with R2 0.51 in crude linear regression and 0.57 in an adjusted model. R2 values between HbA1c and CGM mean glucose were 0.605 (unadjusted) 0.619 (adjusted) and TAR (unadjusted 0.554 and fully adjusted 0.568, respectively), while fully adjusted R2 values were 0.458, 0.175 and 0.101 between HbA1c and CGM SD, CGM CV and TBR, respectively. CONCLUSIONS: This descriptive study demonstrates that the degree of association between HbA1c and new and readily available CGM-derived metrics, i.e., time in range (TIR), time above range (TAR), and CGM mean glucose, is robust in assessing the management of individuals with type 1 diabetes in clinical settings. Metrics from CGM that pertain to variability and hypoglycemia exhibit only weak correlations with HbA1c.

Standardising personalised diabetes care across European health settings: A person-centred outcome set agreed in a multinational Delphi study.

OBJECTIVE: Standardised person-reported outcomes (PRO) data can contextualise clinical outcomes enabling precision diabetes monitoring and care. Comprehensive outcome sets can guide this process, but their implementation in routine diabetes care has remained challenging and unsuccessful at international level. We aimed to address this by developing a person-centred outcome set for Type 1 and Type 2 diabetes, using a methodology with prospects for increased implementability and sustainability in international health settings. METHODS: We used a three-round questionnaire-based Delphi study to reach consensus on the outcome set. We invited key stakeholders from 19 countries via purposive snowball sampling, namely people with diabetes (N = 94), healthcare professionals (N = 65), industry (N = 22) and health authorities (N = 3), to vote on the relevance and measurement frequency of 64 previously identified clinical and person-reported outcomes. Subsequent consensus meetings concluded the study. RESULTS: The list of preliminary outcomes was shortlisted via the consensus process to 46 outcomes (27 clinical outcomes and 19 PROs). Two main collection times were recommended: (1) linked to a medical visit (e.g. diabetes-specific well-being, symptoms and psychological health) and (2) annually (e.g. clinical data, general well-being and diabetes self management-related outcomes). CONCLUSIONS: PROs are often considered in a non-standardised way in routine diabetes care. We propose a person-centred outcome set for diabetes, specifically considering psychosocial and behavioural aspects, which was agreed by four international key stakeholder groups. It guides standardised collection of meaningful outcomes at scale, supporting individual and population level healthcare decision making. It will be implemented and tested in Europe as part of the H2O project.

Patient Experiences after Open Trigger Finger Release in Patients with Type 1 and Type 2 Diabetes-A Retrospective Study Using Patient-reported Outcome Measures.

Trigger finger is overrepresented among patients with diabetes mellitus (DM). Whether DM affects the outcome after open trigger finger release (OTFR) in patients with DM is not known. Our aim was thus to explore outcomes after OTFR in patients with type 1 (T1D) and type 2 DM (T2D). Methods: Data included patient-reported outcome measures (PROMs) from all OTFRs performed between 2010 and 2020 registered in the Swedish national registry for hand surgery in individuals over 18 years cross-linked with the Swedish National Diabetes Register (NDR). PROMs included QuickDASH and HQ8, a questionnaire designed for national registry for hand surgery, preoperative and at 3 and 12 months postoperative. HQ8 included pain on load, pain on motion without load, and stiffness. Outcome was calculated using linear-mixed models and presented as means adjusted for age and stratified by sex. Results: In total, 6242 OTFRs were included, whereof 496 had T1D (332, 67% women) and 869 had T2D (451, 52% women). Women with T1D reported more symptoms of stiffness (P < 0.001), and women with T2D reported more pain on load (P < 0.05), motion without load (P < 0.01), and worse overall result at 3 months. At 12 months, however, no differences were found in any of the HQ-8 PROMs among men or women. Women with T2D had slightly higher QuickDASH scores at 3 and 12 months. Conclusion: Patients with T1D and T2D can expect the same results after OTFR as individuals without DM, although the improvement might take longer especially among women with T2D.

Real-world study of flash glucose monitoring among adults with type 2 diabetes within the Swedish National Diabetes Register.

BACKGROUND: The Swedish National Diabetes Register (NDR) initiated registration of the FreeStyle Libre® system and other continuous glucose monitoring (CGM) systems in June 2016. We investigated change in HbA1c for people with type 2 diabetes (T2DM) using FreeStyle Libre in Sweden. METHODS: We included adults with T2DM, registered in the NDR after January 1, 2014, and an index date for first use of FreeStyle Libre of June 2016 or later. Methodology was a before/after comparison of HbA1c within 6 months before the index date versus HbA1c around 6 and 12 months after the index date. RESULTS: 711 adults with T2DM using FreeStyle Libre had HbA1c measurements within the study period. Mean HbA1c was significantly reduced at 6 months (-0.50%-unit) and at 12 months (-0.52%-unit) in this group. Degree of change was negatively correlated to baseline HbA1c. Reductions in HbA1c were observed in incident users of FreeStyle Libre with T2DM who were truly naïve to CGM or had unknown prior experience of CGM, and aged 25-74 years. CONCLUSIONS: This real-world study on the Swedish NDR shows that people with T2DM using FreeStyle Libre system for 6 and 12 months significantly reduced their HbA1c.

Cardiovascular Outcomes in Patients With Both Diabetes and Phenotypic Familial Hypercholesterolemia: A Nationwide Register-Based Cohort Study.

OBJECTIVE: Patients with diabetes or familial hypercholesterolemia (FH) have an increased incidence of cardiovascular diseases compared with the population, but whether this risk is exacerbated in patients with combined traits is unknown. RESEARCH DESIGN AND METHODS: In this Swedish nationwide, register-based cohort study, patients with diabetes were included between 2002 and 2020. Adjusted Cox proportional hazards models were used to assess the risk of cardiovascular events in patients with or without phenotypic FH (≥6 points for phenotypic FH according to Dutch Lipid Clinic Network criteria) compared with general population control subjects without diabetes as reference. RESULTS: A total of 45,585 patients with type 1 diabetes (227,923 control subjects) and 655,250 patients with type 2 diabetes (655,250 control subjects) were followed for a median of 14.1 and 7.9 years, respectively. Of those, 153 and 7,197, respectively, had phenotypic FH. Compared with control subjects, patients with diabetes and phenotypic FH had higher risk of cardiovascular mortality (type 1: hazard ratio 21.3 [95% CI 14.6-31.0]; type 2: 2.40 [2.19-2.63]) and of a cardiovascular event (type 1: 15.1 [11.1-20.5]; type 2: 2.73 [2.58-2.89]). Further, patients with diabetes and phenotypic FH had higher LDL-cholesterol levels during observation (P < 0.05) and increased risk of all major cardiovascular outcomes (P < 0.0001) than patients with diabetes but without FH. The proportion receiving lipid-lowering treatment was higher in patients with phenotypic FH (P < 0.0001). CONCLUSIONS: Patients with both diabetes and phenotypic FH are more at risk for adverse cardiovascular outcomes and have higher LDL-cholesterol levels despite receiving intensified lipid-lowering therapy.

Characterization of data-driven clusters in diabetes-free adults and their utility for risk stratification of type 2 diabetes.

BACKGROUND: The prevention of type 2 diabetes is challenging due to the variable effects of risk factors at an individual level. Data-driven methods could be useful to detect more homogeneous groups based on risk factor variability. The aim of this study was to derive characteristic phenotypes using cluster analysis of common risk factors and to assess their utility to stratify the risk of type 2 diabetes. METHODS: Data on 7317 diabetes-free adults from Sweden were used in the main analysis and on 2332 diabetes-free adults from Mexico for external validation. Clusters were based on sex, family history of diabetes, educational attainment, fasting blood glucose and insulin levels, estimated insulin resistance and ß-cell function, systolic and diastolic blood pressure, and BMI. The risk of type 2 diabetes was assessed using Cox proportional hazards models. The predictive accuracy and long-term stability of the clusters were then compared to different definitions of prediabetes. RESULTS: Six risk phenotypes were identified independently in both cohorts: very low-risk (VLR), low-risk low ß-cell function (LRLB), low-risk high ß-cell function (LRHB), high-risk high blood pressure (HRHBP), high-risk ß-cell failure (HRBF), and high-risk insulin-resistant (HRIR). Compared to the LRHB cluster, the VLR and LRLB clusters showed a lower risk, while the HRHBP, HRBF, and HRIR clusters showed a higher risk of developing type 2 diabetes. The high-risk clusters, as a group, had a better predictive accuracy than prediabetes and adequate stability after 20 years. CONCLUSIONS: Phenotypes derived using cluster analysis were useful in stratifying the risk of type 2 diabetes among diabetes-free adults in two independent cohorts. These results could be used to develop more precise public health interventions.

The significance of chronic kidney disease, heart failure and cardiovascular disease for mortality in type 1 diabetes: nationwide observational study.

People with type 1 diabetes have a substantially increased risk of premature death. This nationwide, register-based cohort study evaluated the significance of risk factors and previous cardiovascular disease (CVD), heart failure and chronic kidney disease (CKD), for mortality in type 1 diabetes. Nationwide, longitudinal, register-based cohort study. Patients (n = 36,303) listed in the Swedish National Diabetes Register between January 1 2015 and December 31 2017 were included and followed until December 31, 2018. Data were retrieved from national health registries through each patient's unique identifier, to capture data on clinical characteristics, outcomes, or deaths, to describe mortality rates in risk groups. The mean follow-up time was 3.3 years, with 119,800 patient years of observation and 1127 deaths, corresponding to a crude overall mortality of 0.92% deaths/year. Statistically significant increased risk in multivariate analyzes was found in older age groups, in men, and in underweight or people with normal BMI, high HbA1c or blood pressure. A history of CVD, albuminuria and advanced stages of CKD was associated with an increased risk of mortality. Each combination of these conditions further increased the risk of mortality. These results emphasize the importance of risk factors and cardiovascular and renal diabetes complications. People with a combination of CKD, CVD, and heart failure, exhibit a markedly increased risk of dying prematurely. These findings provide strong arguments for optimized and individualized treatment of these groups of people with type 1 diabetes in clinical everyday life.

Range of Risk Factor Levels, Risk Control, and Temporal Trends for Nephropathy and End-stage Kidney Disease in Patients With Type 1 and Type 2 Diabetes.

OBJECTIVE: To investigate trends, optimal levels for cardiometabolic risk factors, and multifactorial risk control in diabetic nephropathy and end-stage kidney disease (ESKD) in patients with diabetes and matched control subjects. RESEARCH DESIGN AND METHODS: This study included 701,622 patients with diabetes from the Swedish National Diabetes Register and 2,738,137 control subjects. Trends were analyzed with standardized incidence rates. Cox regression was used to assess excess risk, optimal risk factor levels, and risk according to the number of risk factors, in diabetes. RESULTS: ESKD incidence among patients with and without diabetes initially declined until 2007 and increased thereafter, whereas diabetic nephropathy decreased throughout follow-up. In patients with diabetes, baseline values for glycated hemoglobin, systolic blood pressure (SBP), triglycerides, and BMI were associated with outcomes. Hazard ratio (HR) for ESKD for patients with type 2 diabetes who had all included risk factors at target was 1.60 (95% CI 1.49-1.71) compared with control subjects and for patients with type 1 diabetes 6.10 (95% CI 4.69-7.93). Risk for outcomes increased in a stepwise fashion for each risk factor not at target. Excess risk for ESKD in type 2 diabetes showed a HR of 2.32 (95% CI 2.30-2.35) and in type 1 diabetes 10.92 (95% CI 10.15-11.75), compared with control. CONCLUSIONS: Incidence of diabetic nephropathy has declined substantially, whereas ESKD incidence has increased. Traditional and modifiable risk factors below target levels were associated with lower risks for outcomes, particularly notable for the causal risk factors of SBP and HbA1c, with potential implications for care.

High HbA1c Levels Are Associated With Development of Trigger Finger in Type 1 and Type 2 Diabetes: An Observational Register-Based Study From Sweden.

OBJECTIVE: Trigger finger (TF) is a hand disorder causing the fingers to painfully lock in flexion. Diabetes is a known risk factor; however, whether strict glycemic control effectively lowers risk of TF is unknown. Our aim was to examine whether high HbA1c was associated with increased risk of TF among individuals with diabetes. RESEARCH DESIGN AND METHODS: The Swedish National Diabetes Register (NDR) was cross-linked with the health care register of the Region of Skåne in southern Sweden. In total, 9,682 individuals with type 1 diabetes (T1D) and 85,755 individuals with type 2 diabetes (T2D) aged ≥18 years were included from 2004 to 2019. Associations between HbA1c and TF were calculated with sex-stratified, multivariate logistic regression models with 95% CIs, with adjustment for age, duration of diabetes, BMI, and systolic blood pressure. RESULTS: In total, 486 women and 271 men with T1D and 1,143 women and 1,009 men with T2D were diagnosed with TF. Increased levels of HbA1c were associated with TF among individuals with T1D (women OR 1.26 [95% CI 1.1-1.4], P = 0.001, and men 1.4 [1.2-1.7], P < 0.001) and T2D (women 1.14 [95% CI 1.2-1.2], P < 0.001, and men 1.12 [95% CI 1.0-1.2], P = 0.003). CONCLUSIONS: Hyperglycemia increases the risk of developing TF among individuals with T1D and T2D. Optimal treatment of diabetes seems to be of importance for prevention of diabetic hand complications such as TF.

Risk trajectories of complications in over one thousand newly diagnosed individuals with type 2 diabetes.

Although the increased risk of complications of type 2 diabetes (T2D) is well known, there is still little information about the long-term development of comorbidities in relation to risk factors. The purpose of the present study was to describe the risk trajectories of T2D complications over time in an observational cohort of newly diagnosed T2D patients, as well as to evaluate the effect of common risk factors on the development of comorbidities. This national cohort study investigated individuals with T2D in the Swedish National Diabetes Register regarding prevalence of comorbidities at the time of diagnosis, and the incidence of cardiovascular disease (CVD), chronic kidney disease (CKD) and heart failure in the entire patient cohort and stratified by HbA1c levels and age at baseline. Multivariable Cox regressions were used to evaluate risk factors predicting outcomes. We included 100,878 individuals newly diagnosed with T2D between 1998 and 2012 in the study, with mean 5.5 years follow-up (max 17 years). The mean age at diagnosis was 62.6 ± SD12.5 years and 42.7% of the patients were women. Prevalent CVD was reported for 17.5% at baseline. Although the prevalence of comorbidities was generally low for individuals 50 years or younger at diagnosis, the cumulative incidence of the investigated comorbidities increased over time. Newly diagnosed CVD was the most common comorbidity. Women were shown to have a lower risk of developing comorbid conditions than men. When following the risk trajectory of comorbidities over a period of up to 15 years in individuals with type 2 diabetes, we found that all comorbidities gradually increased over time. There was no distinct time point when onset suddenly increased.

Implementing the Digital Diabetes Questionnaire as a Clinical Tool in Routine Diabetes Care: Focus Group Discussions With Patients and Health Care Professionals.

BACKGROUND: The Diabetes Questionnaire is a digital patient-reported outcome and experience measure for adults living with diabetes. The Diabetes Questionnaire is intended for use in routine clinical visits in diabetes care and to enable patient perspectives to be integrated into the Swedish National Diabetes Register. The Diabetes Questionnaire was developed on the basis of patients' perspectives, and evidence for its measurement qualities has been demonstrated. Patients receive an invitation to complete the questionnaire before clinical visits, and the patient and health care professional (HCP) can discuss the findings, which are instantly displayed during the visit. Implementation processes for new tools in routine care need to be studied to understand the influence of contextual factors, the support needed, and how patients and HCPs experience clinical use. OBJECTIVE: The aim of this study was to describe patients' and HCPs' experiences of initiating the use of the digital Diabetes Questionnaire as a clinical tool in routine diabetes care, supported by a structured implementation strategy involving initial education, local facilitators, and regular follow-ups. METHODS: In this qualitative study, semistructured focus group discussions were conducted 12 months after the use of the Diabetes Questionnaire was initiated. Participants were diabetes specialist nurses and physicians (20 participants in 4 groups) at hospital-based outpatient clinics or primary health care clinics and adults with type 1 or type 2 diabetes (15 participants in 4 groups). The audiotaped transcripts were analyzed using inductive qualitative content analysis. RESULTS: The results revealed 2 main categories that integrated patients' and HCPs' experiences, which together formed an overarching theme: While implementation demands new approaches, the Diabetes Questionnaire provides a broader perspective. The first main category (The Diabetes Questionnaire supports person-centered clinical visits) comprised comments expressing that the digital Diabetes Questionnaire can initiate and encourage reflection in preparation for clinical visits, bring important topics to light during clinical visits, and broaden the scope of discussion by providing additional information. The second main category (The process of initiating the implementation of the Diabetes Questionnaire) comprised comments that described differences in engagement among HCPs and their managers, challenges of establishing new routines, experiences of support during implementation, thoughts about the Diabetes Questionnaire, need to change local administrative routines, and opportunities and concerns for continued use. CONCLUSIONS: The Diabetes Questionnaire can broaden the scope of health data in routine diabetes care. While implementation demands new approaches, patients and HCPs saw potential positive impacts of using the questionnaire at both the individual and group levels. Our results can inform further development of implementation strategies to support the clinical use of the questionnaire.

A collaborative comparison of international pediatric diabetes registries.

BACKGROUND: An estimated 1.1 million children and adolescents aged under 20 years have type 1 diabetes worldwide. Principal investigators from seven well-established longitudinal pediatric diabetes registries and the SWEET initiative have come together to provide an international collaborative perspective and comparison of the registries. WORK FLOW: Information and data including registry characteristics, pediatric participant clinical characteristics, data availability and data completeness from the Australasian Diabetes Data Network (ADDN), Danish Registry of Childhood and Adolescent Diabetes (DanDiabKids), Diabetes prospective follow-up registry (DPV), Norwegian Childhood Diabetes Registry (NCDR), National Paediatric Diabetes Audit (NPDA), Swedish Childhood Diabetes Registry (Swediabkids), T1D Exchange Quality Improvement Collaborative (T1DX-QI), and the SWEET initiative was extracted up until 31 December 2020. REGISTRY OBJECTIVES AND OUTCOMES: The seven diabetes registries and the SWEET initiative collectively show data of more than 900 centers and around 100,000 pediatric patients, the majority with type 1 diabetes. All share the common objectives of monitoring treatment and longitudinal outcomes, promoting quality improvement and equality in diabetes care and enabling clinical research. All generate regular benchmark reports. Main differences were observed in the definition of the pediatric population, the inclusion of adults, documentation of CGM metrics and collection of raw data files as well as linkage to other data sources. The open benchmarking and access to regularly updated data may prove to be the most important contribution from registries. This study describes aspects of the registries to enable future collaborations and to encourage the development of new registries where they do not exist.

Diabetic hand: prevalence and incidence of diabetic hand problems using data from 1.1 million inhabitants in southern Sweden.

INTRODUCTION: 'The diabetic hand' has traditionally referred to hand complications due to diabetes mellitus (DM), including trigger finger (TF) and Dupuytren's disease (DD). Recent publications have also proposed DM as a risk factor for carpal tunnel syndrome (CTS), ulnar nerve entrapment (UNE), and possibly osteoarthritis (OA) of the first carpometacarpal (CMC-1) joint. This study aimed to explore prevalence and incidence of diabetic hand complications among the population in southern Sweden. RESEARCH DESIGN AND METHODS: Approximately 1.1 million inhabitants in the region of Skåne aged ≥18 years, whereof 50 000 with DM, were included. Data on incident CTS, UNE, TF, DD, and OA of the CMC-1 joint between 2004 and 2019 were collected from the Skåne Healthcare Register and cross-linked with the National Diabetes Register. Prevalences on December 31, 2019 and 10-year incidence ratios were calculated for type 1 diabetes (T1D), type 2 diabetes (T2D), and the population without DM, stratified for sex. Prevalence ratios and incidence rate ratios with 95% CIs were used for group comparisons. RESULTS: The prevalences of all five studied diagnoses were higher in both men and women with T1D and T2D (p<0.01) and both T1D and T2D had more concomitant prevalent diagnoses (p<0.0001). The 10-year incidence rates of all diagnoses were higher among T1D and T2D (p<0.0001), except OA of the CMC-1 joint in men with T1D (p=0.055). CONCLUSIONS: CTS, UNE, and possibly also OA of the CMC-1 joint should be included together with TF and DD when referring to 'the diabetic hand'. The incidence of hand disorders was up to eight times higher among T1D, and both T1D and T2D had more concomitant prevalent diagnoses compared with the population without DM. Future studies should elucidate the pathophysiology behind diabetic hand complications to enable development of effective preventive measures in patients with diabetes.

Type 2 Diabetes, Glycemic Control, and Their Association With Dementia and Its Major Subtypes: Findings From the Swedish National Diabetes Register.

OBJECTIVE: Type 2 diabetes has been associated with high dementia risk. However, the links to different dementia subtypes is unclear. We examined to what extent type 2 diabetes is associated with dementia subtypes and whether such associations differed by glycemic control. RESEARCH DESIGN AND METHODS: We used data from the Swedish National Diabetes Register and included 378,299 patients with type 2 diabetes and 1,886,022 control subjects matched for age, sex, and county randomly selected from the Swedish Total Population Register. The outcomes were incidence of Alzheimer disease, vascular dementia, and nonvascular dementia. The association of type 2 diabetes with dementia was stratified by baseline glycated hemoglobin (HbA1c) in patients with type 2 diabetes only. Cox regression was used to study the excess risk of outcomes. RESULTS: Over the follow-up (median 6.8 years), dementia developed in 11,508 (3.0%) patients with type 2 diabetes and 52,244 (2.7%) control subjects. The strongest association was observed for vascular dementia, with patients with type 2 diabetes compared with control subjects having a hazard ratio [HR] of 1.34 (95% CI 1.28, 1.41). The association of type 2 diabetes with nonvascular dementia was more modest (HR 1.10 [95% CI 1.07, 1.13]). However, risk for Alzheimer disease was lower in patients with type 2 diabetes than in control subjects (HR 0.94 [95% CI 0.90, 0.99]). When the analyses were stratified by circulating concentrations of HbA1c, a dose-response association was observed. CONCLUSIONS: The association of type 2 diabetes with dementia differs by subtypes of dementia. The strongest detrimental association is observed for vascular dementia. Moreover, patients with type 2 diabetes with poor glycemic control have an increased risk of developing vascular and nonvascular dementia.

Changes in HbA1c Between 2011 and 2017 in Germany/Austria, Sweden, and the United States: A Lifespan Perspective.

Aims: This study assessed hemoglobin A1c (HbA1c) across the lifespan in people with type 1 diabetes (T1D) in Germany/Austria, Sweden, and the United States between 2011 and 2017 to ascertain temporal and age-related trends. Methods: Data from the Diabetes-Patienten-Verlaufsdokumentation (DPV) (n = 25,651 in 2011, n = 29,442 in 2017); Swedish Pediatric Diabetes Quality Registry (SWEDIABKIDS)/National Diabetes Register (NDR), (n = 44,474 in 2011, n = 53,690 in 2017); and T1D Exchange (n = 16,198 in 2011, n = 17,087 in 2017) registries were analyzed by linear regression to compare mean HbA1c overall and by age group. Results: Controlling for age, sex, and T1D duration, HbA1c increased in the United States between 2011 and 2017, decreased in Sweden, and did not change in Germany/Austria. Controlling for sex and T1D duration, mean HbA1c decreased between 2011 and 2017 in all age cohorts in Sweden (P < 0.001). In the United States, HbA1c stayed the same for participants <6 years and 45 to <65 years and increased in all other age groups (P < 0.05). In Germany/Austria, HbA1c stayed the same for participants <6 to <13 years and 18 to <25 years; decreased for participants ages 13 to <18 years (P < 0.01); and increased for participants ≥25 years (P < 0.05). Conclusions: The comparison of international trends in HbA1c makes it possible to identify differences, explore underlying causes, and share quality improvement processes. National quality improvement initiatives are well accepted in Europe but have yet to be implemented systematically in the United States. However, disparities created by the lack of universal access to health care coverage, unequal access to diabetes technologies (e.g., continuous glucose monitoring) regardless of insurance status, and high out-of-pocket cost for the underinsured ultimately limit the potential of quality improvement initiatives.

International comparison of glycaemic control in people with type 1 diabetes: an update and extension.

AIMS: To update and extend a previous cross-sectional international comparison of glycaemic control in people with type 1 diabetes. METHODS: Data were obtained for 520,392 children and adults with type 1 diabetes from 17 population and five clinic-based data sources in countries or regions between 2016 and 2020. Median HbA1c (IQR) and proportions of individuals with HbA1c < 58 mmol/mol (<7.5%), 58-74 mmol/mol (7.5-8.9%) and ≥75 mmol/mol (≥9.0%) were compared between populations for individuals aged <15, 15-24 and ≥25 years. Logistic regression was used to estimate the odds ratio (OR) of HbA1c < 58 mmol/mol (<7.5%) relative to ≥58 mmol/mol (≥7.5%), stratified and adjusted for sex, age and data source. Where possible, changes in the proportion of individuals in each HbA1c category compared to previous estimates were calculated. RESULTS: Median HbA1c varied from 55 to 79 mmol/mol (7.2 to 9.4%) across data sources and age groups so a pooled estimate was deemed inappropriate. OR (95% CI) for HbA1c < 58 mmol/mol (<7.5%) were 0.91 (0.90-0.92) for women compared to men, 1.68 (1.65-1.71) for people aged <15 years and 0.81 (0.79-0.82) aged15-24 years compared to those aged ≥25 years. Differences between populations persisted after adjusting for sex, age and data source. In general, compared to our previous analysis, the proportion of people with an HbA1c  < 58 mmol/l (<7.5%) increased and proportions of people with HbA1c ≥ 75 mmol/mol (≥9.0%) decreased. CONCLUSIONS: Glycaemic control of type 1 diabetes continues to vary substantially between age groups and data sources. While some improvement over time has been observed, glycaemic control remains sub-optimal for most people with Type 1 diabetes.

Cost-Effectiveness of the FreeStyle Libre® System Versus Blood Glucose Self-Monitoring in Individuals with Type 2 Diabetes on Insulin Treatment in Sweden.

INTRODUCTION: Frequent glucose monitoring is essential to obtain glucose control. This is done by periodic self-monitoring of blood glucose (SMBG) using finger-prick testing, or by using continuous glucose monitoring devices, wherein a sensor records interstitial glucose data automatically. This study assessed the cost-effectiveness of using the FreeStyle Libre Flash Continuous Glucose Monitoring System (FSL) compared to SMBG in individuals with type 2 diabetes (T2D) treated with insulin from a Swedish societal perspective. METHODS: Cost-effectiveness analysis was conducted using the IQVIA Core Diabetes model v9.5, with demographic and clinical inputs from a real-world study using Swedish National Diabetes Register data. Two cohorts of individuals with T2D were considered based on baseline HbA1C (HbA1c: 8-9% [64-75 mmol/mol]; HbA1c: 9-12% [75-108 mmol/mol]). HbA1c reductions with FSL were - 0.41% (- 4 mmol/mol; SD: 0.94%-10 mmol/mol) and - 1.30% (- 14 mmol/mol; SD: 1.40%-15 mmol/mol) for the two cohorts, respectively. Utilities, treatment costs and diabetes-related complication costs were obtained from published sources. Analyses were conducted over a lifetime horizon, applying annual discounting of 3% on costs and effects. Scenario analyses and probabilistic sensitivity analyses were performed. RESULTS: Individuals with T2D who had a baseline HbA1c of 8-9% (64-75 mmol/mol) and 9-12% (75-108 mmol/mol) and used FSL gained 0.50 and 0.57 quality-adjusted life-years (QALYs), respectively, at an incremental cost of SEK109,957 and SEK82,170 compared to SMBG, generating an incremental cost-utility ratio of SEK219,127 and SEK144,412 per QALY gained. Assuming a willingness-to-pay threshold of SEK300,000 per QALY gained, FSL use was considered cost-effective compared to SMBG for the majority of the individuals in both the lower and higher HbA1c cohorts. The key driver identified was the additional quality-of-life benefit that applied to FSL use. CONCLUSION: The FreeStyle Libre Flash Continuous Glucose Monitoring System is a cost-effective glucose monitoring alternative to SMBG for individuals with T2D in Sweden who are treated with insulin but are not reaching their glycaemic goals.

Impact of Socioeconomic Factors and Gender on Refill Adherence and Persistence to Lipid-Lowering Therapy in Type 1 Diabetes.

INTRODUCTION: Lipid-lowering therapy (LLT) reduces the risk of cardiovascular disease (CVD) in patients with type 1 diabetes (T1D). However, socioeconomic factors and gender may have an impact on the adherence to and non-persistence with LLT. METHODS: This was a nationwide register-based cohort study that included 6192 individuals with T1D aged ≥ 18 years who were registered in the Swedish National Diabetes Register and had initiated novel use of LLT. Information on socioeconomic parameters (source: Statistics Sweden) and comorbidity (source: National Patient Register) was collected. The individuals were followed for 36 months, and adherence to LLT was analyzed according to age, socioeconomics and gender. The medication possession ratio (MPR; categorized into ≤ 80% and > 80%) and non-persistence (discontinuation) with medication was calculated after 18 and 36 months. RESULTS: Individuals older than 53 years were more adherent to LLT (MPR > 80%) than those younger than 36 years (odds ratio [(OR] 1.30, p < 0.0001) at 36 months. Women were more adherent and less prone to discontinue LLT at 18 months (OR 1.05, p = 0.0005 and OR 0.95, p = 0.0004, respectively), but not at 36 months. Divorced individuals were less adherent than married ones (OR 0.93, p = 0.0005) and discontinued LLT more often than the latter (OR 1.06, p = 0.003). Education had no impact on adherence, but individuals with higher incomes discontinued LLT less frequently than those with lower incomes. Individuals with a country of origin other than Sweden discontinued LLT more often. CONCLUSION: Lower adherence to LLT in individuals with T1D was associated with male gender, younger age, marital status and country of birth. These factors should be considered when evaluating adherence to LLT in clinical practice, with the aim to help patients achieve full cardioprotective treatment.