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.

[Clinical case of mucormycosis in patient COVID-19. Case report].

The COVID-19 epidemic is being revealed from a new angle every month. In particular, with the appearance of the delta strain, mucormycosis began to manifest in some patients, which had previously been extremely rare. Mucormycosis is a rare, aggressive infection caused by filamentous fungi of the Mucorales family and associated with high morbidity and mortality rates. The main risk factors for the mucormycosis in patients with COVID-19 are diabetes mellitus and diabetic ketoacidosis, uncontrolled hyperglycemia and massive use of glucocorticoids, vascular damage, thrombosis, lymphopenia, which often occur against the background of COVID-19 and make a person vulnerable to secondary or opportunistic fungal infection. We present a clinical case of mucormycosis in a 21-year-old female patient with COVID-19-associated severe pneumonia and concomitant type I diabetes mellitus. The patient was hospitalized and received standard therapy during inpatient treatment, including glucocorticosteroids in accordance with the severity of the course of COVID-19. On the 12th day from the hospitalization, the patient's condition deteriorated significantly, and the visible changes in the skin and soft tissues of the face, characteristic of mucormycosis appeared. Despite the drug therapy correction, the patient died because of the acute respiratory failure in combination with septic fungal damage of the brain stem.

Ramadan fasting in people with diabetes and chronic kidney disease (CKD) during the COVID-19 pandemic: The DaR global survey.

BACKGROUND AND AIMS: The DaR Global survey was conducted to observe the impact of the COVID-19 pandemic on the intentions to fast and the outcomes of fasting in people with diabetes and chronic kidney disease (CKD). METHODS: Muslim people with diabetes and CKD were surveyed in 13 countries shortly after the end of Ramadan 2020, using a simple Survey Monkey questionnaire. RESULTS: This survey recruited 6736 people with diabetes, of which 707 (10.49%) had CKD. There were 118 (16.69%) people with type1 diabetes (T1D), and 589 (83.31%) were with type2 diabetes (T2D). 62 (65.24%) people with T1D and 448 (76.06%) people with T2D had fasted with CKD. Episodes of hypoglycaemia and hyperglycaemia were more frequent among people with T1D compared to T2D, 64.52% and 43.54% vs 25.22% and 22.32% respectively. Visits to the emergency department and hospitalization were more frequent among people with CKD, however no significant difference was found between people with T1D and T2D. CONCLUSION: The COVID-19 pandemic had only a minor effect on the intention to fast during Ramadan in people with diabetes and CKD. However, hypoglycaemia and hyperglycaemia were found to be more frequent, as well as emergency visits and hospital admissions among people with diabetic kidney disease. Prospective studies are needed in future to evaluate the risk indicators of hypoglycaemia and hyperglycaemia among fasting people with CKD, especially in the context of different stages of kidney disease.

Type 1 Diabetes Incidence and Risk in Children With a Diagnosis of COVID-19.

This study used a population-based individual patient data set that included diagnoses of COVID-19 to determine whether there was a temporal association between COVID-19 and type 1 diabetes in children.

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.

Association of MicroRNA-146a with Type 1 and 2 Diabetes and their Related Complications.

Most medical investigations have found a reduced blood level of miR-146a in type 2 diabetes (T2D) patients, suggesting an important role for miR-146a (microRNA-146a) in the etiology of diabetes mellitus (DM) and its consequences. Furthermore, injection of miR-146a mimic has been confirmed to alleviate diabetes mellitus in diabetic animal models. In this line, deregulation of miR-146a expression has been linked to the progression of nephropathy, neuropathy, wound healing, olfactory dysfunction, cardiovascular disorders, and retinopathy in diabetic patients. In this review, besides a comprehensive review of the function of miR-146a in DM, we discussed new findings on type 1 (T1MD) and type 2 (T2DM) diabetes mellitus, highlighting the discrepancies between clinical and preclinical investigations and elucidating the biological pathways regulated through miR-146a in DM-affected tissues.

Metabolic control during the first two years of the COVID-19 pandemic in pediatric patients with type 1 diabetes: results from the German DPV initiative.

AIM: To assess effects of the SARS-CoV2 pandemic on metabolic control in youth with type 1 diabetes (T1D) in Germany in a population-based analysis. METHODS: Data from 33,372 pediatric T1D patients from the Diabetes Prospective Follow-up (DPV) registry, with face-to-face visits or telemedicine contacts in the years 2019-2021, were available. Datasets from eight time periods between March 15, 2020, and December 31, 2021, according to SARS-CoV2 incidence waves, were compared to those from five control time periods. Parameters of metabolic control were assessed with adjustment for sex, age, diabetes duration, and repeated measurements. Laboratory-measured HbA1c values and those estimated from CGM were aggregated into a combined glucose indicator (CGI). RESULTS: There was no clinically relevant difference in metabolic control between pandemic and control time periods with adjusted CGI values ranging from 7.61% [7.60-7.63] (mean [95% confidence interval (CI)]) in the third quarter of 2019 to 7.83% [7.82-7.85] in the time period from January 1 to March 15 2020, in the other control periods, and during the pandemic, CGI values lay between these values. BMI-SDS rose during the pandemic from 0.29 [0.28-0.30] (mean [95% CI]) in the third quarter of 2019 to 0.40 [0.39-0.41] during the fourth wave. Adjusted insulin dose rose during the pandemic. Event rates for hypoglycemic coma and diabetic ketoacidosis remained unchanged. CONCLUSIONS: We found no clinically relevant change of glycemic control or incidence of acute diabetes complications during the pandemic. The observed BMI increase may represent an important health risk for youth with T1D.

Youth-Onset Type 2 Diabetes: Burden of Complications and Socioeconomic Cost.

PURPOSE OF REVIEW: With the rise in prevalence of youth-onset type 2 diabetes (T2DM), it is imperative to understand the clinical burden of the disease and the socioeconomic burden this disease imposes. We review the most recent data on youth-onset T2DM, including its pathophysiology, complications, and treatment. We also review existing data to determine the socioeconomic burden of youth-onset T2DM. RECENT FINDINGS: The incidence of youth-onset T2DM is rising, and significantly accelerated following the COVID-19 pandemic. Youth with T2DM are more frequently from families of racial/ethnic minorities and lower socioeconomic status. Youth-onset T2DM has more rapid disease progression compared to adult-onset type 2 diabetes. It results in earlier and more severe microvascular and macrovascular complications compared to both adult-onset T2DM and youth-onset type 1 diabetes (T1DM). While there is a lack of data describing the socioeconomic cost of youth-onset T2DM, based on extrapolation from analyses of the burden of T2DM in adults and T1DM in youth, we propose that youth-onset T2DM has higher direct and indirect costs than adult-onset T2DM. Youth-onset T2DM presents a significant clinical and socioeconomic burden due to its aggressive presentation and earlier appearance of complications. Additional research is needed regarding the cost of illness in this population.

Addressing Cognitive Biases in Interpreting an Elevated Lactate in a Patient with Type 1 Diabetes and Thiamine Deficiency.

We present the case of a young woman admitted for diabetic ketoacidosis with persistent, asymptomatic lactic acid (LA) elevation during the evolving COVID-19 pandemic. Cognitive biases in interpreting an elevated LA in this patient's care resulted in an extensive infectious workup instead of the low-cost and potentially diagnostic provision of empiric thiamine. We discuss clinical patterns and etiologies of LA elevation and the role of thiamine deficiency. We also address cognitive biases potentially affecting the interpretation of elevated lactate levels and provide guidance for clinicians to determine appropriate patients for empiric thiamine administration.

Race- and Neighborhood-Related Disparities Spanning the COVID-19 Pandemic: Trajectories of Combined Glycemic Control and BMI in Youth With Diabetes.

OBJECTIVE: To use combined glycemic (HbA1c) and BMI z-score (BMIZ) trajectories spanning the coronavirus disease 2019 (COVID-19) pandemic to identify high-risk subgroups of adolescents with diabetes. RESEARCH DESIGN AND METHODS: Retrospective cohort of adolescents 10-19 years old with type 1 and type 2 diabetes with one or more visits at a large pediatric hospital from January 2018 through February 2020 (prepandemic) and April 2020 through August 2021 (pandemic). Group-based trajectory models were used to identify latent classes of combined BMIZ and HbA1c trajectories. Multinomial logistic regression was used to evaluate predictors of class membership, including Area Deprivation Index (ADI) (socioeconomic status proxy). RESULTS: The cohort included 1,322 youth with type 1 diabetes (93% White and 7% Black) and 59 with type 2 diabetes (53% Black and 47% White). For type 1 diabetes, six trajectory classes emerged. Black youth were more likely to be in the class with worsening glycemic control and concurrent BMIZ decrease at pandemic onset (relative risk ratio [RRR] vs. White: 3.0 [95% CI 1.3-6.8]) or in the class with progressively worsening glycemic control and obesity (RRR 3.0 [95% CI 1.3-6.8]), while those from the most deprived neighborhoods (RRR ADI tertile 3 vs. 1: 1.9 [95% CI 1.2-2.9]) were more likely to be in the class with stable obesity and glycemic control. For type 2 diabetes, three distinct trajectories emerged, two of which experienced worsening glycemic control with concurrent BMIZ decline at pandemic onset. CONCLUSIONS: Race and neighborhood deprivation were independently associated with distinct glycemic and BMIZ trajectory classes in youth with diabetes, highlighting persistent and widening disparities associated with the COVID-19 pandemic.

COVID-19 associated ketosis and diabetic ketoacidosis: A rapid review.

SARS-CoV-2 infection could disrupt the endocrine system directly or indirectly, which could result in endocrine dysfunction and glycaemic dysregulation, triggering transient or persistent diabetes mellitus. The literature on the complex relationship between COVID-19 and endocrine dysfunctions is still evolving and remains incompletely understood. Thus, we conducted a review on all literature to date involving COVID-19 associated ketosis or diabetic ketoacidosis (DKA). In total, 27 publications were included and analysed quantitatively and qualitatively. Studies included patients with DKA with existing or new onset diabetes. While the number of case and cohort studies was limited, DKA in the setting of COVID-19 seemed to increase risk of death, particularly in patients with new onset diabetes. Future studies with more specific variables and larger sample sizes are needed to draw better conclusions.

Association Between Diabetes Severity and Risks of COVID-19 Infection and Outcomes.

BACKGROUND: Little is known about whether diabetes increases the risk of COVID-19 infection and whether measures of diabetes severity are related to COVID-19 outcomes. OBJECTIVE: Investigate diabetes severity measures as potential risk factors for COVID-19 infection and COVID-19 outcomes. DESIGN, PARTICIPANTS, MEASURES: In integrated healthcare systems in Colorado, Oregon, and Washington, we identified a cohort of adults on February 29, 2020 (n = 1,086,918) and conducted follow-up through February 28, 2021. Electronic health data and death certificates were used to identify markers of diabetes severity, covariates, and outcomes. Outcomes were COVID-19 infection (positive nucleic acid antigen test, COVID-19 hospitalization, or COVID-19 death) and severe COVID-19 (invasive mechanical ventilation or COVID-19 death). Individuals with diabetes (n = 142,340) and categories of diabetes severity measures were compared with a referent group with no diabetes (n = 944,578), adjusting for demographic variables, neighborhood deprivation index, body mass index, and comorbidities. RESULTS: Of 30,935 patients with COVID-19 infection, 996 met the criteria for severe COVID-19. Type 1 (odds ratio [OR] 1.41, 95% CI 1.27-1.57) and type 2 diabetes (OR 1.27, 95% CI 1.23-1.31) were associated with increased risk of COVID-19 infection. Insulin treatment was associated with greater COVID-19 infection risk (OR 1.43, 95% CI 1.34-1.52) than treatment with non-insulin drugs (OR 1.26, 95% 1.20-1.33) or no treatment (OR 1.24; 1.18-1.29). The relationship between glycemic control and COVID-19 infection risk was dose-dependent: from an OR of 1.21 (95% CI 1.15-1.26) for hemoglobin A1c (HbA1c) < 7% to an OR of 1.62 (95% CI 1.51-1.75) for HbA1c ≥ 9%. Risk factors for severe COVID-19 were type 1 diabetes (OR 2.87; 95% CI 1.99-4.15), type 2 diabetes (OR 1.80; 95% CI 1.55-2.09), insulin treatment (OR 2.65; 95% CI 2.13-3.28), and HbA1c ≥ 9% (OR 2.61; 95% CI 1.94-3.52). CONCLUSIONS: Diabetes and greater diabetes severity were associated with increased risks of COVID-19 infection and worse COVID-19 outcomes.

A UK nationwide study of adults admitted to hospital with diabetic ketoacidosis or hyperosmolar hyperglycaemic state and COVID-19.

AIMS: To investigate characteristics of people hospitalized with coronavirus-disease-2019 (COVID-19) and diabetic ketoacidosis (DKA) or hyperosmolar hyperglycaemic state (HHS), and to identify risk factors for mortality and intensive care admission. MATERIALS AND METHODS: Retrospective cohort study with anonymized data from the Association of British Clinical Diabetologists nationwide audit of hospital admissions with COVID-19 and diabetes, from start of pandemic to November 2021. The primary outcome was inpatient mortality. DKA and HHS were adjudicated against national criteria. Age-adjusted odds ratios were calculated using logistic regression. RESULTS: In total, 85 confirmed DKA cases, and 20 HHS, occurred among 4073 people (211 type 1 diabetes, 3748 type 2 diabetes, 114 unknown type) hospitalized with COVID-19. Mean (SD) age was 60 (18.2) years in DKA and 74 (11.8) years in HHS (p < .001). A higher proportion of patients with HHS than with DKA were of non-White ethnicity (71.4% vs 39.0% p = .038). Mortality in DKA was 36.8% (n = 57) and 3.8% (n = 26) in type 2 and type 1 diabetes respectively. Among people with type 2 diabetes and DKA, mortality was lower in insulin users compared with non-users [21.4% vs. 52.2%; age-adjusted odds ratio 0.13 (95% CI 0.03-0.60)]. Crude mortality was lower in DKA than HHS (25.9% vs. 65.0%, p = .001) and in statin users versus non-users (36.4% vs. 100%; p = .035) but these were not statistically significant after age adjustment. CONCLUSIONS: Hospitalization with COVID-19 and adjudicated DKA is four times more common than HHS but both associate with substantial mortality. There is a strong association of previous insulin therapy with survival in type 2 diabetes-associated DKA.

Incidence and presentation of new-onset type 1 diabetes in children and adolescents from Germany during the COVID-19 pandemic 2020 and 2021: Current data from the DPV Registry.

AIMS: To determine whether the incidence of type 1 diabetes mellitus (T1D), autoantibody-negative diabetes, and diabetic ketoacidosis (DKA) at diabetes onset in 2020 and 2021 changed when compared to long-standing trends. METHODS: Our study is based on diabetes manifestation data of the 0.5-<18-year-old children/adolescents from the German multicenter Diabetes Prospective Follow-up Registry. Based on long-term pre-pandemic trends from 2011 to 2019, we estimated adjusted incidence rate ratios (IRR) for T1D and DKA, and prevalence rate ratios (PRR) regarding autoantibody status with 95 % confidence intervals (CI) for the years 2020 and 2021 (observed versus predicted rates), using multivariable negative binomial or beta-binomial regression, respectively. RESULTS: We analyzed data of 30,840 children and adolescents with new-onset T1D. The observed incidences were significantly higher than the predicted incidences (IRR2020 1.13 [1.08-1.19]; IRR2021 1.20 [1.15-1.26]). The prevalence of autoantibody-negative diabetes did not change (PRR2020 0.91 [0.75-1.10]; PRR2021 1.03 [0.86-1.24]). The incidence of DKA during the pandemic was higher than predicted (IRR2020 1.34 [1.23-1.46]; IRR2021 1.37 [1.26-1.49]). CONCLUSIONS: An increase in the incidences of T1D and DKA, but not of autoantibody-negative diabetes was observed during both pandemic years. Further monitoring and efforts for DKA prevention at onset are necessary.

Incidence of new-onset type 1 diabetes during Covid-19 pandemic: A French nationwide population-based study.

AIM: The association between infection with SARS-CoV-2 and the development of new-onset type 1 diabetes mellitus (T1DM) is unclear. The aim of this study was to examine the impact of the Covid-19 pandemic on the hospitalization rates for new-onset T1DM and diabetic ketoacidosis at diagnosis, in metropolitan France. METHODS: This nationwide retrospective cohort study included hospital data on all patients aged 1 to 35 years old, hospitalized in France due to onset of T1DM, in 2020 and 2021 compared to 2019. RESULTS: Apart from a decrease during the lockdown in 2020, the number of hospitalizations due to new-onset T1DM was not significantly different in 2020 and 2021 than it was in 2019. In the regions most affected by Covid-19 and covering 7,995,449 inhabitants aged from 1 to 35 years old, standardized hospitalization rates were not significantly different in 2020 and in 2021 compared with 2019. The number of hospitalizations for diabetic ketoacidosis at diagnosis was not significantly different after week 14 in 2020 and in 2021 compared with 2019. CONCLUSION: In this nationwide study, the incidence of hospitalizations for new-onset T1DM and the incidence of diabetic ketoacidosis at diagnosis was not increased during the Covid-19 pandemic in 2020 and 2021. Our results support the fact that infection with SARS-CoV-2 does not promote the development of T1DM.

Optimal Frequency of Urinary Albumin Screening in Type 1 Diabetes.

OBJECTIVE: Kidney disease screening recommendations include annual urine testing for albuminuria after 5 years' duration of type 1 diabetes. We aimed to determine a simple, risk factor-based screening schedule that optimizes early detection and testing frequency. RESEARCH DESIGN AND METHODS: Urinary albumin excretion measurements from 1,343 participants in the Diabetes Control and Complications Trial and its long-term follow-up were used to create piecewise-exponential incidence models assuming 6-month constant hazards. Likelihood of the onset of moderately or severely elevated albuminuria (confirmed albumin excretion rate AER ≥30 or ≥300 mg/24 h, respectively) and its risk factors were used to identify individualized screening schedules. Time with undetected albuminuria and number of tests were compared with annual screening. RESULTS: The 3-year cumulative incidence of elevated albuminuria following normoalbuminuria at any time during the study was 3.2%, which was strongly associated with higher glycated hemoglobin (HbA1c) and AER. Personalized screening in 2 years for those with current AER ≤10 mg/24 h and HbA1c ≤8% (low risk [0.6% three-year cumulative incidence]), in 6 months for those with AER 21-30 mg/24 h or HbA1c ≥9% (high risk [8.9% three-year cumulative incidence]), and in 1 year for all others (average risk [2.4% three-year cumulative incidence]) was associated with 34.9% reduction in time with undetected albuminuria and 20.4% reduction in testing frequency as compared with annual screening. Stratification by categories of HbA1c or AER alone was associated with reductions of lesser magnitude. CONCLUSIONS: A personalized alternative to annual screening in type 1 diabetes can substantially reduce both the time with undetected kidney disease and the frequency of urine testing. ARTICLE HIGHLIGHTS: Kidney disease screening recommendations include annual urine testing for albuminuria after 5 years' duration of type 1 diabetes. We investigated simple screening schedules that optimize early detection and testing frequency. Personalized screening in 2 years for those with current AER ≤10 mg/24 h and HbA1c ≤8%, in 6 months for those with AER 21-30 mg/24 h or HbA1c ≥9%, and in 1 year for all others yielded 34.9% reduction in time with undetected albuminuria and 20.4% fewer evaluations compared with annual screening. A personalized alternative to annual screening in type 1 diabetes can substantially reduce both the time with undetected kidney disease and the frequency of urine testing.

Type 1 diabetes mellitus and SARS-CoV-2 in pediatric and adult patients - Data from the DPV network.

BACKGROUND: Data on patients with type 1 diabetes mellitus (T1DM) and severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) infections are sparse. This study aimed to investigate the association between SARS-CoV-2 infection and T1DM. METHODS: Data from the Prospective Diabetes Follow-up (DPV) Registry were analyzed for diabetes patients tested for SARS-CoV-2 by polymerase chain reaction (PCR) in Germany, Austria, Switzerland, and Luxembourg during January 2020-June 2021, using Wilcoxon rank-sum and chi-square tests for continuous and dichotomous variables, adjusted for multiple testing. RESULTS: Data analysis of 1855 pediatric T1DM patients revealed no differences between asymptomatic/symptomatic infected and SARS-CoV-2 negative/positive patients regarding age, new-onset diabetes, diabetes duration, and body mass index. Glycated hemoglobin A1c (HbA1c) and diabetic ketoacidosis (DKA) rate were not elevated in SARS-CoV-2-positive vs. -negative patients. The COVID-19 manifestation index was 37.5% in individuals with known T1DM, but 57.1% in individuals with new-onset diabetes. 68.8% of positively tested patients were managed as outpatients/telemedically. Data analysis of 240 adult T1MD patients revealed no differences between positively and negatively tested patients except lower HbA1c. Of these patients, 83.3% had symptomatic infections; 35.7% of positively tested patients were hospitalized. CONCLUSIONS: Our results indicate low morbidity in SARS-CoV-2-infected pediatric T1DM patients. Most patients with known T1DM and SARS-CoV-2 infections could be managed as outpatients. However, SARS-CoV-2 infection was usually symptomatic if it coincided with new-onset diabetes. In adult patients, symptomatic SARS-CoV-2 infection and hospitalization were associated with age.