First year national Swedish paediatric Hba1c data are at the level of several intervention studies: Results from a Swedish nationwide diabetes register study.

AIMS/HYPOTHESIS: To study the progression of HbA1c after diagnosis of type 1 diabetes in children and adolescents during 2010-2019 with emphasis on HbA1c nadir 3-6 months after onset. METHODS: Partial funding was secured for this study. The Swedish paediatric diabetes quality register SWEDIABKIDS has >95 % coverage of type 1 diabetes up to 18 years. A mixed model for repeated measurements was used to estimate differences in HbA1c between onset year periods. RESULTS: We followed 6,891 patients over two years from onset (48,292 HbA1c values). We found a gradual decrease in mean HbA1c 24 months after onset from 56.0 mmol/mol (7.28 %) in 2010/11 to 50.5 mmol/mol (6.77 %) in 2018/19, which is at the level of several recent intervention studies. The initial drop in HbA1c from onset until 3 and 6 months has become more pronounced in recent years. There was a significant positive correlation between HbA1c at 3 and 6 months with 12, 18 and 24 months. Percentage of severe hypoglycaemic coma was higher (5.1 % vs 3.4 %; p = 0.023) in 2010/2011 than 2018/2019, but the absolute risk of ketoacidosis was essentially unchanged, (1.5 % to 0.8 %, p = 0.110) CONCLUSIONS/INTERPRETATION: There was a continuous decrease in HbA1c over the study period 2010-2019, which coincides in time with an increased use of diabetes technology and lowering the HbA1c target to 48 mmol/mol (6.5 %). The decrease in 2-year HbA1c was preceded by a lower HbA1c nadir, which may set the trajectories for coming HbA1c and be a modifiable factor for a long-term improvement in metabolic control.

Factors associated with empowerment after participating in a supported osteoarthritis self-management program: An explorative study.

Objective: To explore factors associated with change in empowerment in patients that have participated in a 3-month Supported Osteoarthritis Self-Management Program (SOASP). Further, to evaluate empowerment in the longer term. Design: An explorative analysis including patients from a cohort study conducted in primary healthcare in Sweden was performed. Univariable linear regression models were performed to assess associations between demographics and patient-reported outcome measures (explanatory factors), respectively, and change in empowerment from baseline to 3-month follow-up (outcome variable). Long-term follow-up of empowerment was at 9 months. Results: Self-reported increase in enablement at the 3-month follow-up was associated with a greater improvement in empowerment (B â€‹= â€‹0.041, 95% CI (0.011, 0.07), p â€‹= â€‹0.008). Living alone was associated with less improvement in empowerment (B â€‹= â€‹-0.278, 95% CI (-0.469, -0.086), p â€‹= â€‹0.005) compared to living together. Physical exercise >120 â€‹min per week at baseline was associated with less improvement in empowerment (B â€‹= â€‹-0.293, 95% CI (-0.583, -0.004), p â€‹= â€‹0.047) compared to reporting no exercise at baseline. No other associations were observed (p â€‹> â€‹0.05). Empowerment improved from baseline to the 3-month follow-up (mean 0.20 (SD 0.5), p â€‹< â€‹0.001) but there was no change from baseline to the 9-month follow-up (mean 0.02 (SD 0.6), p â€‹= â€‹0.641). Conclusions: Self-reported increased enablement may lead to greater improvement in empowerment after SOASP. Greater efforts may be needed to support those that live alone, are physically active, and to sustain empowerment in the longer term after SOASP. More research is needed on empowerment to provide personalized support for patients with OA after SOASP.

Antibiotic Use in Late Preterm and Full-Term Newborns.

Importance: Antibiotic treatment saves lives in newborns with early-onset sepsis (EOS), but unwarranted antibiotic use is associated with resistant bacteria and adverse outcomes later in life. Surveillance is needed to optimize treatment strategies. Objective: To describe antibiotic use in association with the incidence and mortality from EOS among late-preterm and full-term newborns. Design, Setting, and Participants: The Sweden Neonatal Antibiotic Use study was a nationwide observational study that included all late-preterm and full-term neonates born from January 1, 2012, to December 31, 2020, in neonatal units of all levels. All hospital live births from 34 weeks' gestation during the study period were included in the study. Data were collected from the Swedish Neonatal Quality Register and the Swedish Medical Birth Register. Data were analyzed from August 2022 to May 2023. Exposure: Admission for neonatal intensive care during the first week of life. Main Outcomes and Measures: The main outcomes were the usage of intravenous antibiotics during the first week of life, the duration of antibiotic therapy, the rate of culture-proven EOS, and mortality associated with EOS. Results: A total of 1 025 515 newborns were included in the study; 19 286 neonates (1.88%; 7686 girls [39.9%]; median [IQR] gestational age, 40 [38-41] weeks; median [IQR] birth weight, 3610 [3140-4030] g) received antibiotics during the first week of life, of whom 647 (3.4%) had EOS. The median (IQR) duration of antibiotic treatment in newborns without EOS was 5 (3-7) days, and there were 113 antibiotic-days per 1000 live births. During the study period there was no significant change in the exposure to neonatal antibiotics or antibiotic-days per 1000 live births. The incidence of EOS was 0.63 per 1000 live births, with a significant decrease from 0.74 in 2012 to 0.34 in 2020. Mortality associated with EOS was 1.39% (9 of 647 newborns) and did not change significantly over time. For each newborn with EOS, antibiotic treatment was initiated in 29 newborns and 173 antibiotic-days were dispensed. Conclusions and Relevance: This large nationwide study found that a relatively low exposure to antibiotics is not associated with an increased risk of EOS or associated mortality. Still, future efforts to reduce unwarranted neonatal antibiotic use are needed.

Prevalence and Predictive Factors for Celiac Disease in Children With Type 1 Diabetes: Whom and When to Screen? A Nationwide Longitudinal Cohort Study of Swedish Children.

OBJECTIVE: To examine the prevalence and predictive factors for celiac disease (CD) after a diagnosis of type 1 diabetes (T1D) in children and adolescents, to improve the current screening guidelines. RESEARCH DESIGN AND METHODS: The association between sex, age at T1D diagnosis, HLA, and diabetes autoantibodies, and a diagnosis of CD was examined in 5,295 children with T1D from the Better Diabetes Diagnosis study in Sweden. RESULTS: The prevalence of biopsy-proven CD was 9.8%, of which 58.2% already had a CD diagnosis before or at T1D onset. Almost all, 95.9%, were diagnosed with CD within 5 years after the T1D diagnosis. Younger age at the T1D diagnosis and being homozygote for DQ2 increased the risk of CD after T1D, but neither sex nor diabetes-related autoantibodies were associated with the risk. CONCLUSIONS: Age at and time after diabetes diagnosis should be considered in screening guidelines for CD in children with T1D.

Assisting the implementation of screening for type 1 diabetes by using artificial intelligence on publicly available data.

The type 1 diabetes community is coalescing around the benefits and advantages of early screening for disease risk. To be accepted by healthcare providers, regulatory authorities and payers, screening programmes need to show that the testing variables allow accurate risk prediction and that individualised risk-informed monitoring plans are established, as well as operational feasibility, cost-effectiveness and acceptance at population level. Artificial intelligence (AI) has the potential to contribute to solving these issues, starting with the identification and stratification of at-risk individuals. ASSET (AI for Sustainable Prevention of Autoimmunity in the Society; www.asset.healthcare ) is a public/private consortium that was established to contribute to research around screening for type 1 diabetes and particularly to how AI can drive the implementation of a precision medicine approach to disease prevention. ASSET will additionally focus on issues pertaining to operational implementation of screening. The authors of this article, researchers and clinicians active in the field of type 1 diabetes, met in an open forum to independently debate key issues around screening for type 1 diabetes and to advise ASSET. The potential use of AI in the analysis of longitudinal data from observational cohort studies to inform the design of improved, more individualised screening programmes was also discussed. A key issue was whether AI would allow the research community and industry to capitalise on large publicly available data repositories to design screening programmes that allow the early detection of individuals at high risk and enable clinical evaluation of preventive therapies. Overall, AI has the potential to revolutionise type 1 diabetes screening, in particular to help identify individuals who are at increased risk of disease and aid in the design of appropriate follow-up plans. We hope that this initiative will stimulate further research on this very timely topic.

Lower left atrial function in young individuals with type 1 diabetes mellitus compared to healthy controls: an echocardiographic study.

In adulthood, individuals with type 1 diabetes mellitus may develop a condition of heart failure with preserved ejection fraction. However, subclinical changes to the heart in diabetes are likely to occur prior to the clinical presentation. This cross-sectional study aimed to compare left atrial function by echocardiography between 43 individuals with type 1 diabetes and 43 healthy controls, aged 10-30 years. All participants underwent echocardiography and 2D speckle tracking measurements for left atrial phase function parameters. Physical capacity was assessed by exercise test on a bicycle. Results showed that participants with type 1 diabetes had significantly lower left atrial function parameters than healthy controls (p < 0.05). There was a significant negative correlation between HbA1c means and reservoir and conduit strain (p < 0.05) and individuals with BMI < 30 showed a lower left atrial stiffness (p < 0.05). Individuals with type 1 diabetes and a higher physical capacity did not differ from their healthy peers. Results indicate that lower HbA1c levels, BMI < 30 and a higher physical capacity are favourable in terms of left atrial function in children and young adults with type 1 diabetes mellitus. Left atrial strain by echocardiography might become a new important tool in assessing heart function in T1DM.

Autoimmune comorbidity in type 1 diabetes and its association with metabolic control and mortality risk in young people: a population-based study.

AIMS/HYPOTHESIS: This register-based study aimed to describe autoimmune comorbidity in children and young adults from type 1 diabetes onset, and to investigate whether such comorbidity was associated with a difference in HbA1c or mortality risk compared with children/young adults with type 1 diabetes without autoimmune comorbidity. METHODS: A total of 15,188 individuals from the Swedish National Diabetes Register, registered with type 1 diabetes before 18 years of age between 2000 and 2019, were included. Five randomly selected control individuals from the Swedish population (Statistics Sweden) were matched to each individual with type 1 diabetes (n=74,210 [346 individuals with type 1 diabetes were not found in the Statistics Sweden register at the date of type 1 diabetes diagnosis, so could not be matched to control individuals]). The National Patient Register was used to attain ICD-10 codes on autoimmune diseases and the Cause of Death Register was used to identify deceased individuals. RESULTS: In the total type 1 diabetes cohort, mean±SD age at onset of type 1 diabetes was 9.5±4.4 years and mean disease duration at end of follow-up was 8.8±5.7 years. Of the individuals with type 1 diabetes, 19.2% were diagnosed with at least one autoimmune disease vs 4.0% of the control group. The HRs for comorbidities within 19 years from onset of type 1 diabetes were 11.6 (95% CI 10.6, 12.6) for coeliac disease, 10.6 (95% CI 9.6, 11.8) for thyroid disease, 1.3 (95% CI 1.1, 1.6) for psoriasis, 4.1 (95% CI 3.2, 5.3) for vitiligo, 1.7 (95% CI 1.4, 2.2) for rheumatic joint disease, 1.0 (95% CI 0.8, 1.3) for inflammatory bowel disease, 1.0 (95% CI 0.7, 1.2) for systemic connective tissue disorder, 1.4 (95% CI 1.1, 1.9) for uveitis, 18.3 (95% CI 8.4, 40.0) for Addison's disease, 1.8 (95% CI 0.9, 3.6) for multiple sclerosis, 3.7 (95% CI 1.6, 8.7) for inflammatory liver disease and 19.6 (95% CI 4.2, 92.3) for atrophic gastritis. Autoimmune disease in addition to type 1 diabetes had no statistically significant effect on HbA1c or mortality risk. CONCLUSIONS/INTERPRETATION: To our knowledge, this is the first comprehensive study where young individuals with type 1 diabetes were followed regarding development of a wide spectrum of autoimmune diseases, from onset of type 1 diabetes. In this nationwide and population-based study, there was already a high prevalence of autoimmune diseases in childhood, especially coeliac and thyroid disease. The presence of autoimmune comorbidity did not have a statistically significant effect on metabolic control or mortality risk.

Relative poverty is associated with increased risk of diabetic ketoacidosis at onset of type 1 diabetes in children. A Swedish national population-based study in 2014-2019.

AIMS: The aim of the study was to estimate the effect of household relative poverty on the risk of diabetic ketoacidosis at diagnosis of children with type 1 diabetes using an international standard measurement of relative poverty. METHODS: A national population-based retrospective study was conducted. The Swedish National Diabetes Register (NDR) was linked with data from Sweden's public statistical agency (Statistics Sweden). Children who were diagnosed with new-onset type 1 diabetes in the period of 2014-2019 were common identifiers. The definition of diabetic ketoacidosis was venous pH <7.30 or a serum bicarbonate level <18 mmol/L. The exposure variable was defined according to the standard definition of the persistent at-risk-of-poverty rate used by the statistical office of the European Union (Eurostat) and several other European public statistical agencies. Univariate and multi-variable analyses were used to calculate the effect of relative poverty on the risk of diabetic ketoacidosis. RESULTS: Children from households with relative poverty had a 41% higher risk of diabetic ketoacidosis (1.41, CI 1.12-1.77, p = 0.004) and more than double the risk of severe diabetic ketoacidosis (pH <7.10) (RR 2.10, CI 1.35-3.25, p = 0.001), as compared to children from households without relative poverty. CONCLUSIONS: Relative poverty significantly increases the risk of diabetic ketoacidosis at onset of type 1 diabetes in children, even in a high-income country with publicly reimbursed health care.