Ketoacidosis as a primary manifestation of COVID-19.

INTRODUCTION: Diabetic ketoacidosis is the most important metabolic emergency in children. Children mimic many syndromes with a combination of nonspecific symptoms during the COVID-19 pandemic. Many syndromes are triggered by changes in children's body conditions. Reporting specific cases can improve the diagnosis process. The present study reports an 18-month-old paediatric case of COVID-19 who presented ketoacidosis (DKA) symptoms. CASE PRESENTATION: The case is an 18-month-old child with fever and diarrhoea from 3 days before, who did not respond to outpatient treatment. On the day of the visit, he suffered from deep and abdominal breathing and decreased level of consciousness and sugar levels at admission of 420 mg/dl. He was then admitted with the initial diagnosis of DKA and had a positive PCR test result for COVID-19. CONCLUSIONS: Considering the non-specific symptoms of COVID-19, general practitioners and paediatricians are recommended that special attention be paid to these symptoms, especially those that are similar to life-threatening syndromes. They also should not easily ignore these symptoms and follow up patients and their recovery status and, if patients do not recover, consider the risk of COVID-19 given the current COVID-19 pandemic.

Does COVID-19 Infection Increase the Risk of Diabetes? Current Evidence.

PURPOSE OF REVIEW: Multiple studies report an increased incidence of diabetes following SARS-CoV-2 infection. Given the potential increased global burden of diabetes, understanding the effect of SARS-CoV-2 in the epidemiology of diabetes is important. Our aim was to review the evidence pertaining to the risk of incident diabetes after COVID-19 infection. RECENT FINDINGS: Incident diabetes risk increased by approximately 60% compared to patients without SARS-CoV-2 infection. Risk also increased compared to non-COVID-19 respiratory infections, suggesting SARS-CoV-2-mediated mechanisms rather than general morbidity after respiratory illness. Evidence is mixed regarding the association between SARS-CoV-2 infection and T1D. SARS-CoV-2 infection is associated with an elevated risk of T2D, but it is unclear whether the incident diabetes is persistent over time or differs in severity over time. SARS-CoV-2 infection is associated with an increased risk of incident diabetes. Future studies should evaluate vaccination, viral variant, and patient- and treatment-related factors that influence risk.

Impact of coronavirus disease 2019 in seasonal variation of hemoglobin A1c in adults with type 1 diabetes and the effect of the mode of treatment: a single-center retrospective study for 2019 and 2021 and analysis by the mode of treatment.

The study was aimed to investigate the seasonal variation of hemoglobin A1c (HbA1c) in adults with type 1 diabetes (T1D) and the impact of coronavirus disease 2019 (COVID-19) by comparing 2019 and 2021 data and differences in treatment modes. This was a single-center retrospective observational study including 52 adult patients with T1D who regularly visited hospital in 2019 and 2021. Twenty-five patients used multiple daily injections (MDI)/self-measurement of blood glucose (SMBG), 16 used MDI/intermittently scanned continuous glucose monitoring (isCGM), 9 used sensor-augmented pump (SAP), and 2 used continuous subcutaneous insulin infusion (CSII)/isCGM. The mean HbA1c level was calculated for each month. The correlation between monthly means of temperature and HbA1c was investigated. Similar analyses were performed for the MDI/SMBG, MDI/isCGM, and SAP + CSII/isCGM groups. HbA1c levels in 2019 decreased in summer and increased in winter and showed a significant negative correlation with temperature (r = -0.652, p = 0.022). However, HbA1c in 2021 showed no seasonal variation and no correlation with temperature (r = -0.134, p = 0.678) and tended to decline after the three emergency declarations. HbA1c in the MDI/SMBG group showed the same trend as the whole group in 2019 and 2021. However, the effect of seasonal variation in HbA1c was lower in the MDI/isCGM group and the lowest in the SAP + CSII/isCGM group in 2019. The impact of emergency declaration on HbA1c level was small for the MDI/isCGM group and smaller for the SAP + CSII/isCGM group in 2021. The COVID-19 pandemic has affected the seasonal variation of HbA1c levels in T1D; the variation differed according to the treatment mode.

Type 1 diabetes patient experiences and management practices during the COVID-19 pandemic in rural Uganda.

Background: The COVID-19 pandemic has impacted various aspects of the lives of persons with chronic diseases, including type 1 diabetes (T1D). However, the diabetes care experiences and practices adopted by persons living with T1D after the declaration of the COVID-19 pandemic in Uganda have not been well documented. Objectives: We investigated diabetes management practices and experiences of persons with T1D during the COVID-19 pandemic lockdown in a rural district of southwestern Uganda. Methods: Using interactive sequential explanatory mixed methods, we conducted a cross-sectional study of persons with T1D aged 18-25 years, their caregivers and health workers. Quantitative data was exclusively collected from patients with T1D using Kobo Toolbox™ and analysed with SPSS™ version 26; qualitative interviews were used to elicit responses from purposively selected patients with T1D, plus caregivers and health workers that were analysed using a thematic framework approach. Results: The study enrolled 51 (24 males) patients with T1D; diabetes duration (mean ± SD) 6.6 ± 5 years. Access to insulin syringes significantly worsened in 19.6% of participants (p = 0.03). Insulin injection frequency (p = 0.01), blood glucose monitoring (p = 0.001) and meal frequency (p = 0.0001) significantly decreased. Qualitative interviews highlighted COVID-19 restriction measures had reduced household income, frequency of clinic visits, and access to food, diabetes support and social services. Conclusions: Experiences and practices were consistent with decisions to prioritise survival, even with known risks around metabolic control. Supplementary Information: The online version contains supplementary material available at 10.1007/s40200-023-01222-4.

New-onset type 1 diabetes in children and adolescents as postacute sequelae of SARS-CoV-2 infection: A systematic review and meta-analysis of cohort studies.

Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) infection in children and adolescents may increase risk for a variety of post-acute sequelae including new-onset type 1 diabetes mellitus (T1DM). Therefore, this meta-analysis aims to estimate the risk of developing new-onset type 1 diabetes in children and adolescents as post-acute sequelae of SARS-CoV-2 infection. PubMed/MEDLINE, CENTRAL, and EMBASE were systematically searched up to March 20, 2023. A systematic review and subsequent meta-analyses were performed to calculate the pooled effect size, expressed as risk ratio (RR) with corresponding 95% confidence interval (CI) of each outcome based on a one-stage approach and the random-effects estimate of the pooled effect sizes of each outcome were generated with the use of the DerSimonian-Laird method. Eight reports from seven studies involving 11 220 530 participants (2 140 897 patients with a history of diagnosed SARS-CoV-2 infection and 9 079 633 participants in the respective control groups) were included. The included studies reported data from four U.S. medical claims databases covering more than 503 million patients (IQVIA, HealthVerity, TriNetX, and Cerner Real-World Data), and three national health registries for all children and adolescents in Norway, Scotland, and Denmark. It was shown that the risk of new-onset T1DM following SARS-CoV-2 infection in children and adolescents was 42% (95% CI 13%-77%, p = 0.002) higher compared with non-COVID-19 control groups. The risk of developing new-onset T1DM following SARS-CoV-2 infection was significantly higher (67%, 95% CI 32 %-112%, p = 0.0001) in children and adolescents between 0 and 11 years, but not in those between 12 and 17 years (RR = 1.10, 95% CI 0.54-2.23, p = 0.79). We also found that the higher risk for developing new-onset T1DM following SARS-CoV-2 infection only exists in studies from the United States (RR = 1.70, 95% CI 1.37-2.11, p = 0.00001) but not Europe (RR = 1.02, 95% CI 0.67-1.55, p = 0.93). Furthermore, we found that SARS-CoV-2 infection was associated with an elevation in the risk of diabetic ketoacidosis (DKA) in children and adolescents compared with non-COVID-19 control groups (RR = 2.56, 95% CI 1.07-6.11, p = 0.03). Our findings mainly obtained from US medical claims databases, suggest that SARS-CoV-2 infection is associated with higher risk of developing new-onset T1DM and diabetic ketoacidosis in children and adolescents. These findings highlight the need for targeted measures to raise public health practitioners and physician awareness to provide intervention strategies to reduce the risk of developing T1DM in children and adolescents who have had COVID-19.

Comparing Glucose Outcomes Following Face-to-Face and Remote Initiation of Flash Glucose Monitoring in People Living With Diabetes.

BACKGROUND: When launched, FreeStyle Libre (FSL; a flash glucose monitor) onboarding was mainly conducted face-to-face. The COVID-19 pandemic accelerated a change to online starts with patients directed to online videos such as Diabetes Technology Network UK for education. We conducted an audit to evaluate glycemic outcomes in people who were onboarded face-to-face versus those who were onboarded remotely and to determine the impact of ethnicity and deprivation on those outcomes. METHODS: People living with diabetes who started using FSL between January 2019 and April 2022, had their mode of onboarding recorded and had at least 90 days of data in LibreView with >70% data completion were included in the audit. Glucose metrics (percent time in ranges) and engagement statistics (previous 90-day averages) were obtained from LibreView. Differences between glucose variables and onboarding methods were compared using linear models, adjusting for ethnicity, deprivation, sex, age, percent active (where appropriate), and duration of FSL use. RESULTS: In total, 935 participants (face-to-face 44% [n = 413]; online 56% [n = 522]) were included. There were no significant differences in glycemic or engagement indices between onboarding methods and ethnicities, but the most deprived quintile had significantly lower percent active time (b = -9.20, P = .002) than the least deprived quintile. CONCLUSIONS: Online videos as an onboarding method can be used without significant differences in glucose and engagement metrics. The most deprived group within the audit population had lower engagement metrics, but this did not translate into differences in glucose metrics.

Incidence, characteristics, risk factors and outcomes of diabetic ketoacidosis in COVID-19 patients: Comparison with influenza and pre-pandemic data.

AIMS: This study characterized incidence, patient profiles, risk factors and outcomes of in-hospital diabetic ketoacidosis (DKA) in patients with COVID-19 compared with influenza and pre-pandemic data. METHODS: This study consisted of 13 383 hospitalized patients with COVID-19 (March 2020-July 2022), 19 165 hospitalized patients with influenza (January 2018-July 2022) and 35 000 randomly sampled hospitalized pre-pandemic patients (January 2017-December 2019) in Montefiore Health System, Bronx, NY, USA. Primary outcomes were incidence of in-hospital DKA, in-hospital mortality, and insulin use at 3 and 6 months post-infection. Risk factors for developing DKA were identified. RESULTS: The overall incidence of DKA in patients with COVID-19 and influenza, and pre-pandemic were 2.1%, 1.4% and 0.5%, respectively (p < .05 pairwise). Patients with COVID-19 with DKA had worse acute outcomes (p < .05) and higher incidence of new insulin treatment 3 and 6 months post-infection compared with patients with influenza with DKA (p < .05). The incidence of DKA in patients with COVID-19 was highest among patients with type 1 diabetes (12.8%), followed by patients with insulin-dependent type 2 diabetes (T2D; 5.2%), non-insulin dependent T2D (2.3%) and, lastly, patients without T2D (1.3%). Patients with COVID-19 with DKA had worse disease severity and higher mortality [odds ratio = 6.178 (4.428-8.590), p < .0001] compared with those without DKA. Type 1 diabetes, steroid therapy for COVID-19, COVID-19 status, black race and male gender were associated with increased risk of DKA. CONCLUSIONS: The incidence of DKA was higher in COVID-19 cohort compared to the influenza and pre-pandemic cohort. Patients with COVID-19 with DKA had worse outcomes compared with those without. Many COVID-19 survivors who developed DKA during hospitalization became insulin dependent. Identification of risk factors for DKA and new insulin-dependency could enable careful monitoring and timely intervention.

SARS-CoV-2 Positive Serology and Islet Autoantibodies in Newly Diagnosed Pediatric Cases of Type 1 Diabetes Mellitus: A Single-Center Cohort Study.

Acute respiratory syndrome coronavirus 2 (SARS-CoV-2) infection, although presenting less severe forms of the disease in children, seems to play a role in the development of other conditions, including type 1 diabetes mellitus (T1DM). After the beginning of the pandemic, an increase in the number of T1DM pediatric patients was observed in several countries, thus leading to many questions about the complex relationship between SARS-CoV-2 infection and T1DM. Our study aimed to highlight possible correlations between SARS-CoV-2 serology and T1DM onset. Therefore, we performed an observational retrospective cohort study that included 158 children diagnosed with T1DM in the period April 2021-April 2022. The presence or absence of SARS-CoV-2 and T1DM-specific antibodies and other laboratory findings were assessed. In the group of patients with positive SARS-CoV-2 serology, a higher percentage had detectable IA-2A antibodies, more children were positive for all three islet autoantibodies determined (GADA, ICA, and IA-2A), and a higher mean HbA1c value was found. No difference existed between the two groups regarding DKA presence and severity. A lower C-peptide level was found in the patients presenting diabetic ketoacidosis (DKA) at T1DM onset. When compared to a group of patients diagnosed before the pandemic, an increased incidence of both DKA and severe DKA, as well as a higher age at diagnosis and higher levels of HbA1c were present in our study group. These findings have important implications for the ongoing monitoring and management of children with T1DM after the COVID-19 pandemic and highlight the need for further research to better understand the complex relationship between SARS-CoV-2 infection and T1DM.

Glycemic Control in Type 1 Diabetes Mellitus and COVID-19: What We Learned From the Lockdown Experience.

INTRODUCTION: Confinement measures that were imposed during the COVID-19 pandemic drastically changed the routines of the population. Some studies on the impact of confinement on glycemic control suggest a reduction of 0.1 to 0.5% in glycated hemoglobin. The objective of this study was to evaluate the impact of the COVID-19 pandemic lockdown on glycemic control in adult patients with type 1 diabetes mellitus. METHODS: An observational retrospective cohort study of patients with type 1 diabetes mellitus followed in a Diabetes Unit was performed. The study compared the metabolic control of these patients before (between January 1st and March 18th, 2020) and after (between May 3rd and July 31st, 2020) the lockdown. RESULTS: The study included 102 patients with type 1 diabetes mellitus (51% females), with a median age of 36 years (interquartile range 18.75, (24.25-43)) and a median duration of diabetes of 15 years (interquartile range 13, (8-21)). After lockdown, a significant decrease of 0.28±0.71% in glycated hemoglobin was observed (7.88±1.33% vs 7.59±1.23%, p=<0.001). In patients using continuous glucose monitoring a significant improvement in time in range was also noted (47.25±17.33% vs 49.97±18.61%, p=0.008). CONCLUSIONS: This study demonstrated an improvement in glycemic control after the lockdown. This might be explained by the positive impact of stable schedules, healthy meals and greater availability to make therapeutic adjustments to glycemic control. The fact that diabetes was considered a risk factor for the development of severe COVID-19 disease might also influence patients to increase their efforts to optimize their glycemic control.

In This Issue of Diabetes Care

The article provides information on a digital health care platform for diabetes that showed improvements in blood glucose levels and weight loss over 24 weeks. The platform includes an Artificial Intelligence system that recognizes foods in photographs and estimates their nutritional values. Additionally, the use of sulfonylureas as an add-on therapy for diabetes does not appear to increase cardiovascular or all-cause mortality risks.

Association between Covid-19 vaccination and incidence of type 1 diabetes in China: Evidence from 14.14 million registered residents between 2007 and 2021.

AIMS: Reports have suggested that COVID-19 vaccination may cause Type 1 diabetes (T1D), particularly fulminant T1D (FT1D). This study aimed to investigate the incidence of T1D in a general population of China, where>90% of the people have received three injections of inactivated SARS-Cov-2 vaccines in 2021. METHODS: A population-based registry of T1D was performed using data from the Beijing Municipal Health Commission Information Center. Annual incidence rates were calculated by age group and gender, and annual percentage changes were assessed using Joinpoint regression. RESULTS: The study included 14.14 million registered residents, and 7,697 people with newly diagnosed T1D were identified from 2007 to 2021. T1D incidence increased from 2.77 in 2007 to 3.84 per 100,000 persons in 2021. However, T1D incidence was stable from 2019 to 2021, and the incidence rate did not increase when people were vaccinated in January-December 2021. The incidence of FT1D did not increase from 2015 to 2021. CONCLUSIONS: The findings suggest that COVID-19 vaccination did not increase the onset of T1D or have a significant impact on T1D pathogenesis, at least not on a large scale.

Study protocol of a randomized controlled clinical trial investigating the effects of omega-3 supplementation on endothelial function, vascular structure, and metabolic parameters in adolescents with type 1 diabetes.

BACKGROUND: Type 1 diabetes is a main health burden with several related comorbidities. It has been shown that endothelial function, vascular structure, and metabolic parameters are considerably disrupted in patients with type 1 diabetes. Omega-3 as an adjuvant therapy may exert profitable effects on type 1 diabetes and its complications by improving inflammation, oxidative stress, immune responses, and metabolic status. Because no randomized clinical trial has examined the effects of omega-3 consumption in children and adolescents with type 1 diabetes; the present study aims to close this gap. METHODS: This investigation is a randomized clinical trial, in which sixty adolescents with type 1 diabetes will be randomly assigned to receive either omega-3 (600 mg/day) or placebo capsules for 12 weeks. Evaluation of anthropometric parameters, flow-mediated dilation (FMD) as an endothelial function marker, carotid intima-media thickness (CIMT) as a vascular structure marker, proteinuria, biochemical factors including glycemic and lipid profile, blood urea nitrogen (BUN), creatinine, high-sensitivity C-reactive protein (hs-CRP), and erythrocyte sedimentation rate (ESR), as well as blood pressure will be done at the baseline and end of the trial. Also, dietary intake and physical activity will be assessed throughout the study. Statistical analysis will be performed using the SPSS software (Version 24), and P < 0.05 will be considered statistically meaningful. DISCUSSION: It is hypothesized that omega-3 supplementation may be beneficial for the management of type 1 diabetes and its complications by reducing inflammation and oxidative stress and also modulating immune responses and glucose and lipid metabolism through various mechanisms. The present study aims to investigate any effect of omega-3 on patients with type 1 diabetes. ETHICAL ASPECTS: This trial received approval from Medical Ethics Committee of Iran University of Medical Sciences, Tehran, Iran (IR.IUMS.REC.1400.070). TRIAL REGISTRATION: Iranian Registry of Clinical Trials IRCT20210419051010N1 . Registered on 29 April 2021.

COVID-19 and diabetes mellitus: a review of the incidence, pathophysiology and management of diabetes during the pandemic.

INTRODUCTION: The COVID-19 pandemic has changed the landscape of modern medicine on a global scale. An emerging concern is the recognition of a bidirectional relationship between COVID-19 and diabetes. Diabetes is a risk factor for severe COVID-19 illness. Intriguingly, recent epidemiological and in vitro studies suggest that infection with SARS-CoV-2, the causative viral agent of COVID-19, is associated with new-onset diabetes and worsening diabetes control. These factors have affected the management of diabetes. AREAS COVERED: This review provides an overview of our current understanding of the incidence and prevalence of diabetes in relation to the COVID-19 pandemic, highlights studies evaluating SARS-CoV-2's beta cell tropism and its effects on insulin secretion and sensitivity and evaluates the impact of the pandemic on diabetes management and metabolic control. EXPERT OPINION: Epidemiological studies have noted an increase in the incidence of new-onset diabetes associated with COVID-19 in patients with phenotypes of type 1 diabetes, type 2 diabetes and Ketosis-Prone Diabetes. Prospective studies are needed to fully elucidate the association between COVID-19 and diabetes and to characterize persons at risk of developing diabetes after SARS-CoV-2 infection, identify those who should be screened for diabetes, and determine the natural histories of different forms of diabetes associated with COVID-19.

The COVID-19 pandemic has affected medical care worldwide. Healthcare systems have been overwhelmed during 'surges' of COVID-19 illness, and access to care has been affected during prolonged lockdowns. COVID-19 is caused by the SARS-CoV-2 virus, which is highly contagious. Infection with SARS-CoV-2 can lead to serious illness, primarily in the lungs, but it often affects many other organ systems, leading to disability and death. Recent studies show that persons with diabetes can have a more severe course of illness if infected with SARS-CoV-2. There is also growing evidence that COVID-19 may cause diabetes or worsen preexisting diabetes. In this review, we discuss the findings of studies that show an increase in the frequency of diabetes diagnosed worldwide during the COVID-19 pandemic. We also examine recent data that suggest SARS-CoV-2 can infect and damage the insulin-producing cells in the pancreas. Finally, we provide an overview of the impact of COVID-19 on the management of patients with diabetes, and the emerging use of telemedicine in diabetes care.

No effects of COVID-19 on the development of type 1 diabetes autoimmunity and no evidence of an increased frequency of SARS-CoV-2 antibodies in newly diagnosed type 1 diabetes patients relative to healthy subjects.

AIMS: To evaluate the relationship between SARS-CoV-2 infection and autoimmunity in type 1 diabetes (T1D) and SARS-CoV-2 antibodies frequency at diagnosis of T1D during pandemic. METHODS: The presence of T1D-specific autoimmunity was evaluated in a cohort of 99 children and adolescents without diabetes that contracted SARS-CoV-2 infection. Moreover, the frequency of IgM- and IgG-SARS-CoV-2 antibodies was evaluated in 41 newly diagnosed T1D patients not yet vaccinated against SARS-CoV-2 disease, collected during the pandemic, compared to healthy subjects (CTRL). RESULTS: None of the 99 patients that contracted SARS-CoV-2 infection during the pandemic period was found positive for T1D autoantibodies. The frequency of SARS-CoV-2 antibodies was not significantly different in patients newly diagnosed with T1D (12.2%), compared with CTRL (8.4%). Among SARS-CoV-2 antibody positive T1D patients, 80% were target of diabetes autoantibodies and 60% had another concomitant autoimmune disease. Among the CTRL subjects positive for SARS-CoV-2Abs (n = 10), none was found positive for T1D autoantibodies. CONCLUSIONS: The results of the present study do not confirm, at least in the short term, a role of COVID-19 as a potential trigger of T1D autoimmunity and do not provide evidence of an increased frequency of SARS-CoV-2 antibodies in newly diagnosed T1D patients in comparison with healthy population.

Improving the Well-being of Adolescents With Type 1 Diabetes During the COVID-19 Pandemic: Qualitative Study Exploring Acceptability and Clinical Usability of a Self-compassion Chatbot.

BACKGROUND: Before the COVID-19 pandemic, adolescents with type 1 diabetes (T1D) had already experienced far greater rates of psychological distress than their peers. With the pandemic further challenging mental health and increasing the barriers to maintaining optimal diabetes self-management, it is vital that this population has access to remotely deliverable, evidence-based interventions to improve psychological and diabetes outcomes. Chatbots, defined as digital conversational agents, offer these unique advantages, as well as the ability to engage in empathetic and personalized conversations 24-7. Building on previous work developing a self-compassion program for adolescents with T1D, a self-compassion chatbot (COMPASS) was developed for adolescents with T1D to address these concerns. However, the acceptability and potential clinical usability of a chatbot to deliver self-compassion coping tools to adolescents with T1D remained unknown. OBJECTIVE: This qualitative study was designed to evaluate the acceptability and potential clinical utility of COMPASS among adolescents aged 12 to 16 years with T1D and diabetes health care professionals. METHODS: Potential adolescent participants were recruited from previous participant lists, and on the web and in-clinic study flyers, whereas health care professionals were recruited via clinic emails and from diabetes research special interest groups. Qualitative Zoom (Zoom Video Communications, Inc) interviews exploring views on COMPASS were conducted with 19 adolescents (in 4 focus groups) and 11 diabetes health care professionals (in 2 focus groups and 6 individual interviews) from March 2022 to April 2022. Transcripts were analyzed using directed content analysis to examine the features and content of greatest importance to both groups. RESULTS: Adolescents were broadly representative of the youth population living with T1D in Aotearoa (11/19, 58% female; 13/19, 68% Aotearoa New Zealand European; and 2/19, 11% Maori). Health care professionals represented a range of disciplines, including diabetes nurse specialists (3/11, 27%), health psychologists (3/11, 27%), dieticians (3/11, 27%), and endocrinologists (2/11, 18%). The findings offer insight into what adolescents with T1D and their health care professionals see as the shared advantages of COMPASS and desired future additions, such as personalization (mentioned by all 19 adolescents), self-management support (mentioned by 13/19, 68% of adolescents), clinical utility (mentioned by all 11 health care professionals), and breadth and flexibility of tools (mentioned by 10/11, 91% of health care professionals). CONCLUSIONS: Early data suggest that COMPASS is acceptable, is relevant to common difficulties, and has clinical utility during the COVID-19 pandemic. However, shared desired features among both groups, including problem-solving and integration with diabetes technology to support self-management; creating a safe peer-to-peer sense of community; and broadening the representation of cultures, lived experience stories, and diabetes challenges, could further improve the potential of the chatbot. On the basis of these findings, COMPASS is currently being improved to be tested in a feasibility study.

A Risk Profile for Disordered Eating Behaviors in Adolescents with Type 1 Diabetes: A Latent Class Analysis Study.

(1) Background: This multi-center study aimed to identify a risk profile for disordered eating behaviors (DEBs) in youth with type 1 diabetes (T1D) based on their dietary intake, lipid profile, body mass index (BMI-SDS), and glycometabolic control. (2) Methods: Adolescents aged 11 to 18 years from five centers across Italy were recruited. Lipid profile, HbA1c, BMI-SDS, and dietary intake data were collected. The risk for developing DEBs was assessed via the Diabetes Eating Problems Survey-R (DEPS-R) questionnaire. A latent class analysis (LCA) was performed using a person-centered approach. (3) Results: Overall, 148 participants aged 11-18 (12.1, ±3.34), 52% males with a mean diabetes duration of 7.2 (±3.4), were enrolled. Based on the results of the DEBS-R score, LCA allowed us to highlight two different classes of patients which were defined as "at-risk" and "not at-risk" for DEB. The risk profile for developing DEBs is characterized by higher BMI-SDS (23.9 vs. 18.6), higher HbA1c (7.9 vs. 7.1%), higher LDL cholesterol (99.9 vs. 88.8 mg/dL), lower HDL cholesterol (57.9 vs. 61.3 mg/dL), higher proteins (18.2 vs. 16.1%), and lower carbohydrates (43.9 vs. 45.3%). Adolescents included in the "at-risk" class were significantly older (p = 0.000), and their parents' SES was significantly lower (p = 0.041). (4) Conclusions: This study allowed us to characterize a risk profile for DEBs based on dietary behavior and clinical parameters. Early identification of the risk for DEBs allows timely intervention and prevention of behavior disorders.

Childhood-onset type 1 diabetes in Western Australia: An update on incidence and temporal trends from 2001 to 2022.

OBJECTIVE: To determine the incidence and incidence trends over 2001-2022 of childhood-onset type 1 diabetes (T1D) in Western Australia and assess the impact of the COVID-19 pandemic. METHODS: Children newly diagnosed with T1D aged 0-14 years in Western Australia from 1 January 2001 to 31 December 2022 were identified from the population-based Western Australian Children's Diabetes Database. Annual age- and sex-specific incidence was calculated, and Poisson regression was used to analyse trends by calendar year, month, sex and age group at diagnosis. Pandemic era impacts were also examined using the regression model adjusted for sex and age group. RESULTS: Between 2001 and 2022, 2311 children (1214 boys, 1097 girls) were newly diagnosed with T1D aged 0-14 years, giving an overall mean annual incidence of 22.9 per 100,000 person-years (95% CI: 22.0, 23.9), with no significant difference observed between boys and girls. A significant linear increasing trend was only observed in 10-14 year olds with boys and girls combined (1.2% per year [IRR 1.012 (95% CI: 1.002, 1.022)]). No significant difference in the incidence was observed between the pre- and post-pandemic period. CONCLUSIONS: The incidence of type 1 diabetes in 0-14 year old Western Australian children continues to increase in the oldest age group. Longer term monitoring of the incidence during the COVID-19 pandemic is needed to determine its impact on this globally unique population which experienced a delayed start to the pandemic with severe containment measures remaining in place until January 2022.

Combining diabetes and mental health care: An ethnographic exploration of user involvement in combined care.

PURPOSE: To explore and describe the enactment of user involvement and combined care in a Danish clinic that aimed at providing integrated diabetes and mental health care. DESIGN: An ethnographic study. DATA SOURCES AND METHODS: Data consisted of field notes from 96 hours of participant observations and field notes from 32 informal conversations with healthcare providers, users and relatives as well as 12 semistructured interviews with users. Data were analysed using a thematic analysis. This study reports to the SRQR guidelines. RESULTS: Treatment was not combined as intended if only one healthcare provider handled the consultations. Here, the healthcare providers' focus was often on their own area of expertise-either mental health or diabetes. If more than one healthcare provider handled consultations, the consultations were often divided between them, focussing on one condition at the time. Healthcare providers noted, that learning from peer colleagues was a way to increase the possibility for combined care. Furthermore, combined care was highly dependent on the healthcare providers' ability to involve users' illness experiences in their own care planning. Here, a high level of user involvement increased the levels of combined care during consultations. CONCLUSION: This study set out to explore and describe user involvement and combined care in a specialised diabetes and mental health outpatient clinic. Combined care is complexed and requires that healthcare providers are well-equipped to manage the complexity of delivering care for people with both conditions. The degree of combined care was linked with the healthcare providers' ability to involve users and their knowledge on the condition outside there are of expertise. RELEVANCE TO CLINICAL PRACTICE: A peer-learning environment in combination with clinical guidelines and joint display could support healthcare providers in involving users in own care and when delivering care outside their area of expertise. PUBLIC CONTRIBUTION: No patient or public contribution. Due to the COVID-19 pandemic, the original user council withdraw their consent to participate due to health-related worries and anxiety concerning the pandemic. The user council consisted of three members diagnosed with diabetes and severe mental illness. They were invited to participate in physical meetings, phone or online meetings. Presenting findings from the study to the study participants were also hindered by the second lockdown. This influenced the possibility for data triangulation.

Investigating the efficacy of baricitinib in new onset type 1 diabetes mellitus (BANDIT)-study protocol for a phase 2, randomized, placebo controlled trial.

BACKGROUND: Type 1 diabetes (T1D) places an extraordinary burden on individuals and their families, as well as on the healthcare system. Despite recent advances in glucose sensors and insulin pump technology, only a minority of patients meet their glucose targets and face the risk of both acute and long-term complications, some of which are life-threatening. The JAK-STAT pathway is critical for the immune-mediated pancreatic beta cell destruction in T1D. Our pre-clinical data show that inhibitors of JAK1/JAK2 prevent diabetes and reverse newly diagnosed diabetes in the T1D non-obese diabetic mouse model. The goal of this study is to determine if the JAK1/JAK2 inhibitor baricitinib impairs type 1 diabetes autoimmunity and preserves beta cell function. METHODS: This will be as a multicentre, two-arm, double-blind, placebo-controlled randomized trial in individuals aged 10-30 years with recent-onset T1D. Eighty-three participants will be randomized in a 2:1 ratio within 100 days of diagnosis to receive either baricitinib 4mg/day or placebo for 48 weeks and then monitored for a further 48 weeks after stopping study drug. The primary outcome is the plasma C-peptide 2h area under the curve following ingestion of a mixed meal. Secondary outcomes include HbA1c, insulin dose, continuous glucose profile and adverse events. Mechanistic assessments will characterize general and diabetes-specific immune responses. DISCUSSION: This study will determine if baricitinib slows the progressive, immune-mediated loss of beta cell function that occurs after clinical presentation of T1D. Preservation of beta cell function would be expected to improve glucose control and prevent diabetes complications, and justify additional trials of baricitinib combined with other therapies and of its use in at-risk populations to prevent T1D. TRIAL REGISTRATION: ANZCTR ACTRN12620000239965 . Registered on 26 February 2020. CLINICALTRIALS: gov NCT04774224. Registered on 01 March 2021.

Healthcare of pregnant women with diabetes during the COVID-19 pandemic: a Southern Brazilian cross-sectional panel data.

OBJECTIVES: To evaluate the indirect effects of the COVID-19 pandemic on the care of women with pregnancies complicated by gestational or pre-existing diabetes, and their maternal-fetal outcomes. METHODS: A cross-sectional panel data conducted in a University Hospital in Southern Brazil. Maternal-fetal outcomes and predictors of care from 235 pregnant women with type 1, type 2, or gestational diabetes were evaluated. Two time periods were compared: six months preceding the pandemic, in 2019, and the COVID-19 period from September 2020 to March 2021. Comparisons were performed using analysis of variance, Mann-Whitney U, Fisher's exact and T-tests. Risks were calculated using the Poisson regression with robust estimates. RESULTS: Maternal age was lower (32.1 ± 6.8 vs. 34.4 ± 6.6, p=0.009) and rates of depression/anxiety were higher (16.5 vs. 7.4%, p=0.046) in the group evaluated during the COVID-19. Neonatal hypoglycemia (RR 4.04; 95% CI 1.37-11.98, p=0.012), and SGA rates (RR 4.29; 95% CI 1.93-9.54, p<0.001) were higher in the group assessed before the pandemic. CONCLUSIONS: Despite economic, social and structural impacts of the pandemic, parameters of maternal care were similar; diabetes control improved, and neonatal hypoglycemia and SGA rates were lower among pregnant women with diabetes during the pandemic.