ABSTRACT
Among the environmental factors associated with type 1 diabetes (T1D), viral infections of the gut and pancreas has been investigated most intensely, identifying enterovirus infections as the prime candidate trigger of islet autoimmunity (IA) and T1D development. However, the association between respiratory tract infections (RTI) and IA/T1D is comparatively less known. While there are significant amounts of epidemiological evidence supporting the role of respiratory infections in T1D, there remains a paucity of data characterising infectious agents at the molecular level. This gap in the literature precludes the identification of the specific infectious agents driving the association between RTI and T1D. Furthermore, the effect of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) infections on the development of IA/T1D remains undeciphered. Here, we provide a comprehensive overview of the evidence to date, implicating RTIs (viral and non-viral) as potential risk factors for IA/T1D.
Subject(s)
COVID-19 , Diabetes Mellitus, Type 1 , Islets of Langerhans , Respiratory Tract Infections , Humans , Islets of Langerhans/pathology , COVID-19/pathology , SARS-CoV-2 , Respiratory Tract Infections/pathologySubject(s)
COVID-19 , Diabetes Mellitus, Type 1 , Adolescent , Child , Humans , Asymptomatic Diseases , Autoimmunity , COVID-19/immunology , Diabetes Mellitus, Type 1/immunology , SARS-CoV-2Subject(s)
COVID-19 , Diabetes Mellitus, Type 1 , Adolescent , Child , Humans , Asymptomatic Diseases , Autoimmunity , COVID-19/immunology , Diabetes Mellitus, Type 1/immunology , SARS-CoV-2ABSTRACT
The social isolation carried out during the COVID-19 pandemic contributed to physical inactivity and impacted people's mental health, with physical activity being an important pillar in the treatment of Type 1 Diabetes Mellitus (T1DM). Thus, this study aims to verify whether there is an association between the perception of mental health and the practice of physical activity in individuals with T1DM during social isolation in the COVID-19 pandemic in Brazil. This was a cross-sectional study conducted in July 2020, with 472 adults with T1DM, using an online form to collect sociodemographic, mental health and physical activity data during social isolation. The Chi-Square test of independence was performed with adjusted residuals analysis (p < 0.05). A total of 51.3% of the participants remained sedentary or stopped doing physical activity during the period of social isolation. There was an association between being interested in performing daily activities (p = 0.003), not feeling depressed (p = 0.001), feeling slightly irritated (p = 0.006), having slight problems with sleep (p = 0.012) and practicing physical activity. There was also an association between maintaining physical activity and not feeling depressed (p = 0.017) and feeling very slightly irritated (p = 0.040). Adults with T1DM who practiced physical activity during the period of social isolation due to the COVID-19 pandemic showed better aspects of mental health.
Subject(s)
COVID-19 , Diabetes Mellitus, Type 1 , Adult , Humans , Cross-Sectional Studies , Mental Health , Pandemics , ExerciseABSTRACT
People with diabetes have an increased risk of experiencing adverse COVID-19 outcomes. COVID-19 vaccination is, therefore, highly recommended. However, people with diabetes have an inherently elevated risk of thrombotic events and the impact of the vaccination on the coagulation system in this patient population remains to be elucidated. The aim of this study was to investigate the impact of COVID-19 vaccination on the haemostatic system in people with type 1 or type 2 diabetes. We evaluated the effects of COVID-19 vaccination (BioNTech Pfizer, Moderna, AstraZeneca) on standard coagulation parameters, whole blood coagulation (Thrombelastometry), platelet function (impedance aggregation), and thrombin generation (calibrated automated thrombography) in people with type 1 diabetes mellitus (n = 41) and type 2 diabetes mellitus (n = 37). Blood sampling points were prior to vaccination and two weeks after the respective vaccination. Thrombelastometry measurements indicated moderately increased clot formation post-vaccination in people with type 1, as well as with type 2, diabetes: "Clot formation times" were significantly shorter, and both "maximum clot firmness" and "alpha angles" were significantly higher, as compared to the respective pre-vaccination values. Therefore, TEM parameters were not altered after vaccination in patients receiving ASA. Moreover, platelet aggregation was enhanced in people with type 1 diabetes, and plasma levels of D-Dimer were increased in people with type 2 diabetes, following COVID-19 vaccination. All other standard coagulation parameters, as well as thrombin generation, were not affected by the vaccination. The coagulation responses of people with diabetes to COVID-19 vaccination were only subclinical and comparable to those observed in healthy individuals. Our findings suggest that people with diabetes do not face an increased activation of the coagulation post-vaccination.
Subject(s)
COVID-19 , Diabetes Mellitus, Type 1 , Diabetes Mellitus, Type 2 , Hemostatics , Humans , COVID-19 Vaccines/adverse effects , Thrombin , COVID-19/prevention & control , VaccinationABSTRACT
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.
Subject(s)
COVID-19 , Diabetes Mellitus, Type 1 , Diabetic Ketoacidosis , Child , Humans , Adolescent , Diabetes Mellitus, Type 1/epidemiology , Diabetes Mellitus, Type 1/complications , Incidence , Pandemics , Prospective Studies , COVID-19/epidemiology , COVID-19/complications , Diabetic Ketoacidosis/etiology , Registries , Germany/epidemiologyABSTRACT
Background: Pregnant women with diabetes are identified as being more vulnerable to the severe effects of COVID-19 and advised to stringently follow social distancing measures. Here, we review the management of diabetes in pregnancy before and during the lockdown. Methods: Majority of antenatal diabetes and obstetric visits are provided remotely, with pregnant women attending hospital clinics only for essential ultrasound scans and labor and delivery. Online resources for supporting women planning pregnancy and for self-management of pregnant women with type 1 diabetes (T1D) using intermittent or continuous glucose monitoring are provided. Retinal screening procedures, intrapartum care, and the varying impact of lockdown on maternal glycemic control are considered. Alternative screening procedures for diagnosing hyperglycemia during pregnancy and gestational diabetes mellitus (GDM) are discussed. Case histories describe the remote initiation of insulin pump therapy and automated insulin delivery in T1D pregnancy. Results: Initial feedback suggests that video consultations are well received and that the patient experiences for women requiring face-to-face visits are greatly improved. As the pandemic eases, formal evaluation of remote models of diabetes education and technology implementation, including women's views, will be important. Conclusions: Research and audit activities will resume and we will find new ways for supporting pregnant women with diabetes to choose their preferred glucose monitoring and insulin delivery.
Subject(s)
Coronavirus Infections/prevention & control , Diabetes, Gestational/drug therapy , Pandemics/prevention & control , Pneumonia, Viral/prevention & control , Pregnancy Complications, Infectious/prevention & control , Pregnancy in Diabetics/drug therapy , Prenatal Care/methods , Telemedicine/methods , Adult , Betacoronavirus , Blood Glucose Self-Monitoring , COVID-19 , Coronavirus Infections/complications , Diabetes Mellitus, Type 1/blood , Diabetes Mellitus, Type 1/drug therapy , Diabetes Mellitus, Type 1/virology , Diabetes Mellitus, Type 2/blood , Diabetes Mellitus, Type 2/drug therapy , Diabetes Mellitus, Type 2/virology , Diabetes, Gestational/blood , Diabetes, Gestational/virology , Female , Humans , Hypoglycemic Agents/administration & dosage , Insulin/administration & dosage , Insulin Infusion Systems , Pneumonia, Viral/complications , Pregnancy , Pregnancy Complications, Infectious/virology , Pregnancy in Diabetics/blood , Pregnancy in Diabetics/virology , SARS-CoV-2 , Self-Management/methodsABSTRACT
Aims: Using data from the ACT1ON study, we conducted secondary analyses to assess the relationship between minutes of moderate-to-vigorous physical activity (MVPA) and glycemia in adults with type 1 diabetes (T1D) and overweight or obesity. Materials and Methods: Participants (n = 66) with T1D provided measures of glycemia (hemoglobin A1c [HbA1c], percent of time below range <70 mg/dL, time-in-range [TIR 70-180 mg/dL], and time above range [TAR >180 mg/dL]) and self-reported physical activity (Global Physical Activity Questionnaire [GPAQ] and Previous Day Physical Activity Recalls [PDPAR]) at baseline, 3, 6, and 9 months postintervention. Wearable activity data were available for a subset of participants (n = 27). Associations were estimated using mixed effects regression models adjusted for design, demographic, clinical, and dietary covariates. Results: Among young adults 19-30 years of age with a baseline HbA1c of 7.9% ± 1.4% and body mass index of 30.3 (interquartile range 27.9, 33.8), greater habitual weekly MVPA minutes were associated with higher HbA1c through the GPAQ (P < 0.01) and wearable activity data (P = 0.01). We did not observe a significant association between habitual MVPA and any continuous glucose monitoring metrics. Using PDPAR data, however, we observed that greater daily MVPA minutes were associated with more TAR (P < 0.01) and reduced TIR (P < 0.01) on the day following reported physical activity. Conclusions: Among young adults with T1D and overweight or obesity, increased MVPA was associated with worsened glycemia. As physical activity is vital to cardiovascular health and weight management, additional research is needed to determine how to best support young adults with T1D and overweight or obesity in their efforts to increase physical activity. Clinical Trial Registration number: NCT03651622.
Subject(s)
Diabetes Mellitus, Type 1 , Overweight , Young Adult , Humans , Overweight/therapy , Glycated Hemoglobin , Blood Glucose Self-Monitoring , Blood Glucose , Obesity/therapy , ExerciseABSTRACT
During the coronavirus disease 2019 (COVID-19) pandemic, COVID-19 vaccination-induced hyperglycemia and related complications have been reported. However, there have been few reports of type 1 diabetes triggered by COVID-19 vaccines in subjects without diabetes. Here, we report the case of a 56-year-old female patient who developed hyperglycemia after the second dose of COVID-19 mRNA-based vaccination without a prior history of diabetes. She visited our hospital with uncontrolled hyperglycemia despite administration of oral hyperglycemic agents. Her initial glycated hemoglobin level was high (11.0%), and fasting serum C-peptide level was normal. The fasting serum C-peptide level decreased to 0.269 ng/mL 5 days after admission, and the anti-glutamic acid decarboxylase antibody was positive. The patient was discharged in stable condition with insulin treatment. To our knowledge, this is the first case of the development of type 1 diabetes without diabetic ketoacidosis after mRNA-based COVID-19 vaccination, and is the oldest case of type 1 diabetes development under such circumstances.
Subject(s)
COVID-19 Vaccines , COVID-19 , Diabetes Mellitus, Type 1 , Diabetes Mellitus, Type 2 , Hyperglycemia , Adult , Female , Humans , Middle Aged , C-Peptide/therapeutic use , COVID-19/prevention & control , COVID-19/complications , COVID-19 Vaccines/adverse effects , Diabetes Mellitus, Type 2/complications , Glycated Hemoglobin , Hyperglycemia/complications , Insulin/therapeutic use , Vaccination/adverse effectsABSTRACT
OBJECTIVE: Type 2 diabetes is an established risk factor for hospitalization and death in COVID-19 infection, while findings with respect to type 1 diabetes have been diverging. RESEARCH DESIGN AND METHODS: Using nationwide health registries, we identified all patients aged ≥18 years with type 1 and type 2 diabetes in Sweden. Odds ratios (ORs) describe the general and age-specific risk of being hospitalized, need for intensive care, or dying, adjusted for age, socioeconomic factors, and coexisting conditions, compared with individuals without diabetes. Machine learning models were used to find predictors of outcomes among individuals with diabetes positive for COVID-19. RESULTS: Until 30 June 2021, we identified 365 (0.71%) and 11,684 (2.31%) hospitalizations in 51,402 and 504,337 patients with type 1 and 2 diabetes, respectively, with 67 (0.13%) and 2,848 (0.56%) requiring intensive care unit (ICU) care and 68 (0.13%) and 4,020 (0.80%) dying (vs 7,824,181 individuals without diabetes [41,810 hospitalizations (0.53%), 8,753 (0.11%) needing ICU care, and 10,160 (0.13%) deaths). Although those with type 1 diabetes had moderately raised odds of being hospitalized (multiple-adjusted OR 1.38 [95% CI 1.24-1.53]), there was no independent effect on ICU care or death (OR of 1.21 [95% CI 0.94-1.52] and 1.13 [95% CI 0.88-1.48], respectively). Age and socioeconomic factors were the dominating features for predicting hospitalization and death in both types of diabetes. CONCLUSIONS: Type 2 diabetes was associated with increased odds for all outcomes, whereas patients with type 1 diabetes had moderately increased odds of hospitalization but not ICU care and death.
Subject(s)
COVID-19 , Diabetes Mellitus, Type 1 , Diabetes Mellitus, Type 2 , Humans , Adolescent , Adult , SARS-CoV-2 , Sweden , Risk Factors , Hospitalization , Intensive Care UnitsABSTRACT
Type 1 diabetes (T1D) is a condition characterized by an absolute deficiency of insulin. Loss of insulin-producing pancreatic islet ß cells is one of the many causes of T1D. Viral infections have long been associated with new-onset T1D and the balance between virulence and host immunity determines whether the viral infection would lead to T1D. Herein, we detail the dynamic interaction of pancreatic ß cells with severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) and the host immune system with respect to new-onset T1D. Importantly, ß cells express the crucial entry receptors and multiple studies confirmed that ß cells are infected by SARS-CoV-2. Innate immune system effectors, such as natural killer cells, can eliminate such infected ß cells. Although CD4+ CD25+ FoxP3+ regulatory T (TREG ) cells provide immune tolerance to prevent the destruction of the islet ß-cell population by autoantigen-specific CD8+ T cells, it can be speculated that SARS-CoV-2 infection may compromise self-tolerance by depleting TREG -cell numbers or diminishing TREG -cell functions by repressing Forkhead box P3 (FoxP3) expression. However, the expansion of ß cells by self-duplication, and regeneration from progenitor cells, could effectively replace lost ß cells. Appearance of islet autoantibodies following SARS-CoV-2 infection was reported in a few cases, which could imply a breakdown of immune tolerance in the pancreatic islets. However, many of the cases with newly diagnosed autoimmune response following SARS-CoV-2 infection also presented with significantly high HbA1c (glycated hemoglobin) levels that indicated progression of an already set diabetes, rather than new-onset T1D. Here we review the potential underlying mechanisms behind loss of functional ß-cell mass as a result of SARS-CoV-2 infection that can trigger new-onset T1D.
Subject(s)
COVID-19 , Diabetes Mellitus, Type 1 , Virus Diseases , Humans , CD8-Positive T-Lymphocytes/metabolism , T-Lymphocytes, Regulatory , SARS-CoV-2/metabolism , Insulin/metabolism , Forkhead Transcription Factors/metabolismABSTRACT
Type 1 diabetes (T1D) is a condition characterized by an absolute deficiency of insulin. Loss of insulin-producing pancreatic islet ß cells is one of the many causes of T1D. Viral infections have long been associated with new-onset T1D and the balance between virulence and host immunity determines whether the viral infection would lead to T1D. Herein, we detail the dynamic interaction of pancreatic ß cells with severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) and the host immune system with respect to new-onset T1D. Importantly, ß cells express the crucial entry receptors and multiple studies confirmed that ß cells are infected by SARS-CoV-2. Innate immune system effectors, such as natural killer cells, can eliminate such infected ß cells. Although CD4+ CD25+ FoxP3+ regulatory T (TREG ) cells provide immune tolerance to prevent the destruction of the islet ß-cell population by autoantigen-specific CD8+ T cells, it can be speculated that SARS-CoV-2 infection may compromise self-tolerance by depleting TREG -cell numbers or diminishing TREG -cell functions by repressing Forkhead box P3 (FoxP3) expression. However, the expansion of ß cells by self-duplication, and regeneration from progenitor cells, could effectively replace lost ß cells. Appearance of islet autoantibodies following SARS-CoV-2 infection was reported in a few cases, which could imply a breakdown of immune tolerance in the pancreatic islets. However, many of the cases with newly diagnosed autoimmune response following SARS-CoV-2 infection also presented with significantly high HbA1c (glycated hemoglobin) levels that indicated progression of an already set diabetes, rather than new-onset T1D. Here we review the potential underlying mechanisms behind loss of functional ß-cell mass as a result of SARS-CoV-2 infection that can trigger new-onset T1D.
Subject(s)
COVID-19 , Diabetes Mellitus, Type 1 , Virus Diseases , Humans , CD8-Positive T-Lymphocytes/metabolism , T-Lymphocytes, Regulatory , SARS-CoV-2/metabolism , Insulin/metabolism , Forkhead Transcription Factors/metabolismABSTRACT
BACKGROUND: The diverse stages of the COVID-19 pandemic led to several social circumstances that influenced daily life and health behavior. PURPOSE: To evaluate changes in cardiovascular risk factors and physical activity among children and young adults with type 1 diabetes (T1D) during the COVID-19 pandemic in Germany compared to previous years. METHODS: A total of 32 785 individuals aged 6-21 years at baseline with T1D from the German diabetes patient follow-up (DPV) registry contributed data on 101 484 person-years between 2016 and 2021. The first treatment year of each individual within this period was considered as baseline. Based on trends from 2016 to 2019, we estimated differences in body mass index-SD score (BMI-SDS), blood pressure (BP-SDS), and lipid levels (non-high-density lipoprotein [non-HDL]) between observed and predicted estimates for the years 2020 and 2021 using linear regression analysis standardized for age, diabetes duration, sex, and migratory background. The proportion doing organized sports and smoking cigarettes was analyzed using multivariable logistic regression models. RESULTS: BMI-SDS increased constantly from 2016 to 2021 without a significant increase above expected values for 2020/2021. Systolic BP-SDS (difference observed vs. expected with 95% confidence interval, 2020: 0.10 [0.07-0.14], 2021: 0.17 [0.14-0.20]) and non-HDL (2020: 2.7 [1.3-4.1] mg/dl, 2021: 4.1 [2.7-5.5] mg/dl) were significantly increased (all p < .001) in both pandemic years. The proportion of subjects participating in organized sports was reduced from over 70% in prepandemic years to 35%-65% in diverse stages/waves of the COVID-19 pandemic. The percentage smoking cigarettes did not change. CONCLUSIONS: We describe an increase in BP and atherogenic lipid levels coinciding with a reduction in physical activity but no acceleration of the prepandemic increases in BMI-SDS among young people with T1D during the COVID-19 pandemic.
Subject(s)
COVID-19 , Cardiovascular Diseases , Diabetes Mellitus, Type 1 , Humans , Child , Young Adult , Adolescent , Pandemics , Risk Factors , Body Mass Index , Heart Disease Risk Factors , Lipids , RegistriesSubject(s)
COVID-19 , Diabetes Mellitus, Type 1 , Humans , COVID-19/epidemiology , Diabetes Mellitus, Type 1/epidemiology , Incidence , PandemicsABSTRACT
BACKGROUND: The risk of severe coronavirus disease 2019 (COVID-19) is increased in people with diabetes, but effects of diabetes type and other risk factors remain incompletely characterized. We studied this in a Swedish cohort of hospitalized patients with type 1 and type 2 diabetes (T1D and T2D), also including comparisons with influenza epidemics of recent years. METHODS: Nationwide healthcare registries were used to identify patients. A total of 11,005 adult patients with diabetes (T1D, n = 373; T2D, n = 10,632) were hospitalized due to COVID-19 from January 1, 2020 to September 1, 2021. Moreover, 5111 patients with diabetes (304 T1D, 4807 T2D) were hospitalized due to influenza from January 1, 2015 to December 31, 2019. Main outcomes were death within 28 days after admission and new hospitalizations for heart failure (HF), chronic kidney disease (CKD), cardiorenal disease (CRD; composite of HF and CKD), myocardial infarction (MI) and stroke during 1 year of follow-up. RESULTS: Number of deaths and CRD events were 2025 and 442 with COVID-19 and 259 and 525 with influenza, respectively. Age- and sex-adjusted Cox regression models in COVID-19 showed higher risk of death and HF in T1D vs. T2D, hazard ratio (HR) 1.77 (95% confidence interval 1.41-2.22) and 2.57 (1.31-5.05). With influenza, T1D was associated with higher risk of death compared with T2D, HR 1.80 (1.26-2.57). Older age and previous CRD were associated with higher risks of death and hospitalization for CRD. After adjustment for prior comorbidities, mortality differences were still significant, but there were no significant differences in cardiovascular and renal outcomes. COVID-19 relative to influenza was associated with higher risk of death in both T1D and T2D, HR 2.44 (1.60-3.72) and 2.81 (2.59-3.06), respectively. CONCLUSIONS: In Sweden, patients with T1D as compared to T2D had a higher age- and sex-adjusted risk of death within 28 days and HF within one year after COVID-19 hospitalization, whereas the risks of other non-fatal cardiovascular and renal disease events were similar. Patients with T1D as well as T2D have a greater mortality rate when hospitalized due to COVID-19 compared to influenza, underscoring the importance of vaccination and other preventive measures against COVID-19 for diabetes patients.
Subject(s)
COVID-19 , Diabetes Mellitus, Type 1 , Diabetes Mellitus, Type 2 , Heart Failure , Influenza, Human , Renal Insufficiency, Chronic , Adult , Humans , Diabetes Mellitus, Type 2/diagnosis , Diabetes Mellitus, Type 2/epidemiology , Diabetes Mellitus, Type 2/complications , Sweden/epidemiology , Diabetes Mellitus, Type 1/diagnosis , Diabetes Mellitus, Type 1/epidemiology , Diabetes Mellitus, Type 1/complications , Influenza, Human/diagnosis , Influenza, Human/epidemiology , Influenza, Human/complications , Routinely Collected Health Data , COVID-19/diagnosis , COVID-19/complications , Renal Insufficiency, Chronic/complicationsABSTRACT
BACKGROUND: Albuminuria is an important risk factor for adverse renal and cardiovascular outcomes in type 1 diabetes (T1D). We sought to describe: (1) adherence to albuminuria screening prior to and during the COVID-19 pandemic and (2) occurrence of abnormal urine albumin-creatinine ratio (ACR) tests in children with T1D. METHODS: This cohort study involved children aged 18 years or younger with T1D followed in the diabetes clinic at a pediatric tertiary center. Data was collected from 2016 to 2020. Adherence was defined by Diabetes Canada (DC) Guidelines for T1D in Children and Adolescents (2018). RESULTS: Of the 165 children who met DC criteria for screening; 88 (32%) were male and the median age at diagnosis was 5.8 years. Twenty-eight (17%) children had not completed a single ACR test, and 30 (18%) completed all eligible ACR tests. Test completion decreased from 66% in 2019 to 45% in 2020. Of the 345 ACR tests completed, 40 (11%) were abnormal (>2.5 mg/mmol) and 29 abnormal ACR tests (72%) were not repeated. CONCLUSION: Adherence to albuminuria screening in this pediatric diabetes clinic is suboptimal with deterioration during the COVID-19 pandemic. Patient/physician and program-level strategies to improve adherence will play an important role in quality improvement. IMPACT: Albuminuria screening is an important part of pediatric diabetes care. In our study, pediatric albuminuria screening adherence was suboptimal at 66% in 2019 and deteriorated during the pandemic to 45% in 2020. Program and patient-level adherence to clinical guidelines and barriers to accessing diabetes care during the pandemic merit further study.