The global impact of COVID-19 pandemic on the incidence of pediatric new-onset type 1 diabetes and ketoacidosis: A systematic review and meta-analysis

The relationship between SARS-CoV-2 infection and type 1 diabetes mellitus

Environmental factors, in particular viral infections, are thought to have an important role in the pathogenesis of type 1 diabetes mellitus (T1DM). The COVID-19 pandemic reinforced this hypothesis as many observational studies and meta-analyses reported a notable increase in the incidence of T1DM following infection with SARS-CoV-2 as well as an association between SARS-CoV-2 infection and the risk of new-onset T1DM. Experimental evidence suggests that human β-cells express SARS-CoV-2 receptors and that SARS-CoV-2 can infect and replicate in β-cells, resulting in structural or functional alterations of these cells. These alterations include reduced numbers of insulin-secreting granules, impaired pro-insulin (or insulin) secretion, and β-cell transdifferentiation or dedifferentiation. The inflammatory environment induced by local or systemic SARS-CoV-2 infection might result in a set of signals (such as pro-inflammatory cytokines) that lead to β-cell alteration or apoptosis or to a bystander activation of T cells and disruption of peripheral tolerance that triggers autoimmunity. Other mechanisms, such as viral persistence, molecular mimicry and activation of endogenous human retroviruses, are also likely to be involved in the pathogenesis of T1DM following SARS-CoV-2 infection. This Review addresses the issue of the involvement of SARS-CoV-2 infection in the development of T1DM using evidence from epidemiological, clinical and experimental studies.

Incidence and presenting features of paediatric type 1 diabetes mellitus and diabetic ketoacidosis in a regional Australian health service

AIM

To determine the incidence and presenting features of type 1 diabetes mellitus and diabetic ketoacidosis in a paediatric population serviced by a regional health service in Queensland, Australia.

METHODS

All patients less than 16 years old diagnosed with type 1 diabetes mellitus between 01 January 2015 and 31 December 2021 were included in this retrospective, observational study. The electronic medical records of each patient were reviewed to collect data on demographics, presentation and ongoing diabetes care.

RESULTS

Sixty-four paediatric patients were diagnosed with type 1 diabetes mellitus during the study period, giving an incidence of 25 cases per 100 000 person years. Half the patients presented with diabetic ketoacidosis, with 14 (22% of the total cohort) presenting in severe diabetic ketoacidosis. There was no significant increase in the incidence of type 1 diabetes mellitus or proportion of patients with diabetic ketoacidosis across the years of the study. Patients that had a delayed diagnosis had an increased likelihood of presenting with severe diabetic ketoacidosis.

CONCLUSION

Incidence of type 1 diabetes mellitus in the paediatric population in this regional centre in Queensland, Australia, is similar to national data. High proportions of patients presenting with diabetic ketoacidosis and severe diabetic ketoacidosis were identified in the study population, with delayed diagnosis, a risk factor for severe diabetic ketoacidosis.

The Impact of Light-Dark Cycle Alteration on the Acceleration of Type 1 Diabetes in NOD Mice Model

Objective

We aimed to evaluate the effect of light-dark cycle alteration and soft drink consumption on the acceleration of type 1 diabetes mellitus (T1DM) development among non-obese diabetic (NOD) mice model.

Methods

We exposed female NOD and C57BL/6 mice from the age of 5 weeks to either adlib soft drink consumption and/or T20 light-dark cycle alteration until the development of diabetes, or the mice reached the age of 30 weeks. Each group consisted of 7-15 mice. We monitored weight, length, blood glucose level, and insulin autoantibody (IAA) levels weekly.

Results

Out of 75 NOD and 22 C57BL/6 mice, 41 NOD mice developed diabetes, and 6 mice died between 7 and 8 weeks of age. The mean time to development of T1DM among NOD control mice was 20 weeks. The time to development of T1DM was accelerated by two weeks in the NOD mice exposed to light-dark cycle alteration, hazard ratio of 2.65,95th CI (0.70, 10.04) p = 0.15). The other groups developed T1DM, similar to the control group.

Conclusion

There was a trend toward earlier development of T1DM among NOD mice exposed to light-dark cycle alteration, but this difference was not statistically significant. Further studies are needed to confirm our findings using larger sample sizes and different animal species.

Human vascularized macrophage-islet organoids to model immune-mediated pancreatic β cell pyroptosis upon viral infection

There is a paucity of human models to study immune-mediated host damage. Here, we utilized the GeoMx spatial multi-omics platform to analyze immune cell changes in COVID-19 pancreatic autopsy samples, revealing an accumulation of proinflammatory macrophages. Single-cell RNA sequencing (scRNA-seq) analysis of human islets exposed to severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) or coxsackievirus B4 (CVB4) viruses identified activation of proinflammatory macrophages and β cell pyroptosis. To distinguish viral versus proinflammatory-macrophage-mediated β cell pyroptosis, we developed human pluripotent stem cell (hPSC)-derived vascularized macrophage-islet (VMI) organoids. VMI organoids exhibited enhanced marker expression and function in both β cells and endothelial cells compared with separately cultured cells. Notably, proinflammatory macrophages within VMI organoids induced β cell pyroptosis. Mechanistic investigations highlighted TNFSF12-TNFRSF12A involvement in proinflammatory-macrophage-mediated β cell pyroptosis. This study established hPSC-derived VMI organoids as a valuable tool for studying immune-cell-mediated host damage and uncovered the mechanism of β cell damage during viral exposure.

Non-human primate model of long-COVID identifies immune associates of hyperglycemia

Hyperglycemia, and exacerbation of pre-existing deficits in glucose metabolism, are manifestations of the post-acute sequelae of SARS-CoV-2. Our understanding of metabolic decline after acute COVID-19 remains unclear due to the lack of animal models. Here, we report a non-human primate model of metabolic post-acute sequelae of SARS-CoV-2 using SARS-CoV-2 infected African green monkeys. Using this model, we identify a dysregulated blood chemokine signature during acute COVID-19 that correlates with elevated and persistent hyperglycemia four months post-infection. Hyperglycemia also correlates with liver glycogen levels, but there is no evidence of substantial long-term SARS-CoV-2 replication in the liver and pancreas. Finally, we report a favorable glycemic effect of the SARS-CoV-2 mRNA vaccine, administered on day 4 post-infection. Together, these data suggest that the African green monkey model exhibits important similarities to humans and can be utilized to assess therapeutic candidates to combat COVID-related metabolic defects.

Teplizumab's immunomodulatory effects on pancreatic β-cell function in type 1 diabetes mellitus

This review explores the immunomodulatory potential of Teplizumab and its impact on pancreatic β-cell function in T1D. Characterized by the autoimmune destruction of insulin-producing beta cells, T1D's management involves maintaining glycemic control through exogenous insulin. Teplizumab, a humanized monoclonal antibody targeting the CD3 antigen, has shown promise in delaying T1D onset and preserving residual β-cell function. The review employs a narrative approach, synthesizing evidence from diverse clinical trials and studies gathered through a meticulous literature search. It scrutinizes Teplizumab's mechanisms of action, including its influence on autoreactive CD8 + T cells and regulatory T cells, offering insights into its immunological pathways. The synthesis of findings from various trials demonstrates Teplizumab's efficacy in preserving C-peptide levels and reducing exogenous insulin requirements, particularly in recent-onset T1D. Considering Teplizumab's real-world implications, the paper addresses potential obstacles, including side effects, patient selection criteria, and logistical challenges. It also emphasizes exploring combination therapies and personalized treatment strategies to maximize Teplizumab's benefits. The review contributes a nuanced perspective on Teplizumab's clinical implications and future directions in T1D management, bridging theoretical understanding with practical considerations.

Association between COVID-19 and the incidence of type 1 diabetes in Portugal - a registry study

BACKGROUND

Viral respiratory infections may precipitate type 1 diabetes (T1D). A possible association between the severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), the virus responsible for COVID-19, and the incidence of T1D is being determined. This study was carried out using Portuguese registries, aiming at examining temporal trends between COVID-19 and T1D.

METHODS

Hospital data, comparing the incidence before and during the COVID-19 pandemic, from children and young adults diagnosed with new-onset T1D, was acquired beginning in 2017 and until the end of 2022. Data was obtained from nine different Portuguese hospital units. The impact of the COVID-19 pandemic, beginning in March 2020, was assessed comparing the annual numbers of new-onset T1D cases. The annual median levels of glucose, glycated hemoglobin (HbA1c) and fasting C-peptide at T1D diagnosis were compared. The annual number of diabetic ketoacidosis (DKA) episodes among new T1D cases was also assessed at two centers.

RESULTS

In total, data from 574 newly diagnosed T1D patients was analyzed, including 530 (92.3%) children. The mean ages for child and adult patients were 9.1 (SD 4.4) and 32.8 (SD 13.6) years, respectively. 57.8% (331/573) were male, one patient had unknown sex. The overall median (25-75 percentiles) levels of glucose, HbA1c and fasting C-peptide at diagnosis were 454 mg/dL (356-568), 11.8% (10.1-13.4) and 0.50 µg/L (0.30-0.79), respectively. DKA at T1D diagnosis was present in 48.4% (76/157). For eight centers with complete 2018 to 2021 data (all calendar months), no overall significant increase in T1D cases was observed during the COVID-19 pandemic, i.e. 90 cases in 2018, 90 cases in 2019, 112 in 2020 and 100 in 2021 (P for trend = 0.36). Two of the centers, Faro (CHUA) and Dona Estefânia (CHULC) hospitals, did however see an increase in T1D from 2019 to 2020. No significant changes in glucose (P = 0.32), HbA1c (P = 0.68), fasting C-peptide (P = 0.20) or DKA frequency (P = 0.68) at the time of T1D diagnosis were observed over the entire study period.

CONCLUSION

The T1D incidence did not increase significantly, when comparing the years before and during the COVID-19 pandemic, nor did key metabolic parameters or number of DKA episodes change.

Human Vascularized Macrophage-Islet Organoids to Model Immune-Mediated Pancreatic β cell Pyroptosis upon Viral Infection

There is a paucity of human models to study immune-mediated host damage. Here, we utilized the GeoMx spatial multi-omics platform to analyze immune cell changes in COVID-19 pancreatic autopsy samples, revealing an accumulation of proinflammatory macrophages. Single cell RNA-seq analysis of human islets exposed to SARS-CoV-2 or Coxsackievirus B4 (CVB4) viruses identified activation of proinflammatory macrophages and β cell pyroptosis. To distinguish viral versus proinflammatory macrophage-mediated β cell pyroptosis, we developed human pluripotent stem cell (hPSC)-derived vascularized macrophage-islet (VMI) organoids. VMI organoids exhibited enhanced marker expression and function in both β cells and endothelial cells compared to separately cultured cells. Notably, proinflammatory macrophages within VMI organoids induced β cell pyroptosis. Mechanistic investigations highlighted TNFSF12-TNFRSF12A involvement in proinflammatory macrophage-mediated β cell pyroptosis. This study established hPSC-derived VMI organoids as a valuable tool for studying immune cell-mediated host damage and uncovered mechanism of β cell damage during viral exposure.

Long-term tracking of glycosylated hemoglobin levels across the lifespan in type 1 diabetes: from infants to young adults

PURPOSE

Glycosylated hemoglobin (HbA1c) is commonly used as a monitoring tool in diabetes. Due to the potential influence of insulin resistance (IR), HbA1c level may fluctuate over a person's lifetime. This study explores the long-term tracking of HbA1c level in individuals diagnosed with type 1 diabetes mellitus (T1DM) from infancy to early adulthood.

METHODS

The HbA1c levels in 275 individuals (121 males, 43.8%) diagnosed with T1DM were tracked for an average of 9.4 years. The distribution of HbA1c levels was evaluated according to age with subgroups divided by gender, use of continuous glucose monitoring (CGM), and the presence of complications.

RESULTS

HbA1c levels were highest at the age of 1 year and then declined until age 4, followed by a significant increase, reaching a maximum at ages 15-16 years. The levels subsequently gradually decreased until early adulthood. This pattern was observed in both sexes, but it was more pronounced in females. Additionally, HbA1c levels were higher in CGM nonusers compared with CGM users; however, regardless of CGM usage, an age-dependent pattern was observed. Furthermore, diabetic complications occurred in 26.8% of individuals, and the age-dependent pattern was observed irrespective of diabetic complications, although HbA1c levels were higher in individuals with diabetic complications.

CONCLUSION

HbA1c levels vary throughout the lifespan, with higher levels during adolescence. This trend is observed regardless of sex and CGM usage, potentially due to physiological IR observed during adolescence. Hence, physiological IR should be considered when interpretating HbA1c levels during adolescence.

Increase in the Expression of Glucose Transporter 2 (GLUT2) on the Peripheral Blood Insulin-Producing Cells (PB-IPC) in Type 1 Diabetic Patients after Receiving Stem Cell Educator Therapy

Multicenter international clinical trials demonstrated the clinical safety and efficacy by using stem cell educator therapy to treat type 1 diabetes (T1D) and other autoimmune diseases. Previous studies characterized the peripheral blood insulin-producing cells (PB-IPC) from healthy donors with high potential to give rise to insulin-producing cells. PB-IPC displayed the molecular marker glucose transporter 2 (GLUT2), contributing to the glucose transport and sensing. To improve the clinical efficacy of stem cell educator therapy in the restoration of islet β-cell function, we explored the GLUT2 expression on PB-IPC in recent onset and longstanding T1D patients. In the Food and Drug Administration (FDA)-approved phase 2 clinical studies, patients received one treatment with the stem cell educator therapy. Peripheral blood mononuclear cells (PBMC) were isolated for flow cytometry analysis of PB-IPC and other immune markers before and after the treatment with stem cell educator therapy. Flow cytometry revealed that both recent onset and longstanding T1D patients displayed very low levels of GLUT2 on PB-IPC. After the treatment with stem cell educator therapy, the percentages of GLUT2+CD45RO+ PB-IPC were markedly increased in these T1D subjects. Notably, we found that T1D patients shared common clinical features with patients with other autoimmune and inflammation-associated diseases, such as displaying low or no expression of GLUT2 on PB-IPC at baseline and exhibiting a high profile of the inflammatory cytokine interleukin (IL)-1β. Flow cytometry demonstrated that their GLUT2 expressions on PB-IPC were also markedly upregulated, and the levels of IL-1β-positive cells were significantly downregulated after the treatment with stem cell educator therapy. Stem cell educator therapy could upregulate the GLUT2 expression on PB-IPC and restore their function in T1D patients, leading to the improvement of clinical outcomes. The clinical data advances current understanding about the molecular mechanisms underlying the stem cell educator therapy, which can be expanded to treat patients with other autoimmune and inflammation-associated diseases.

Sustained metabolic dysregulation and the emergence of diabetes: associations between HbA1c and metabolic syndrome components in Tunisian diabetic and nondiabetic groups

INTRODUCTION

Metabolic Syndrome (MetS), diabetes, and other noncommunicable diseases (NCDs) have been a major focus of research in recent decades as the prevalence of these conditions continues to rapidly increase globally. However, the timing and patterns of development from metabolic risk factors to disease states are less well understood and are especially critical to understand in low- and middle-income countries (LMICs) and populations undergoing epidemiological transitions.

METHODS

Nationally representative sociodemographic, anthropometric, and point-of-care biomarker data from the 2016 Tunisian Health Examination Survey (n = 8170) were used to determine the prevalence of diabetes and MetS components in Tunisia and to investigate associations between glycated hemoglobin (HbA1c) and MetS components (blood pressure [BP], HDL cholesterol [HDL], triglycerides [TG], and waist circumference [WC]) in participants aged 15-97 years old. To better understand how sustained metabolic dysregulation and disease states impact these associations, diabetic and nondiabetic groups were analyzed separately.

RESULTS

The overall prevalence of diabetes based on measured HbA1c was 18.2%. The diabetic groups had a higher prevalence of each individual MetS component, and significantly higher (BP, TG, WC, and HbA1c) and lower (HDL) values than the nondiabetic groups. Yet, there were a higher number of significant associations between HbA1c and MetS components found in nondiabetic women and men when compared to diabetic women and men. HbA1c was positively associated with the cumulative number of MetS components, irrespective of diabetes status in men and women.

CONCLUSIONS

The prevalence of both diabetes and MetS components (particularly low HDL cholesterol and elevated TG) is high among the Tunisian population. More MetS components were associated with HbA1c in nondiabetic individuals, showing a strong connection between the development of MetS components and diabetes. However, once the diabetes disease state manifests, there is more variability in the relationships. These results show the potential for HbA1c to be an indicator of metabolic health below clinical disease cutoffs, which may allow insights into the physiological changes that precipitate the emergence of diabetes.

COVID-19 and Diabetes: An Epidemiologic Overview

Past literature on the development of type 1 diabetes (T1D) and type 2 diabetes (T2D) has emphasized the influence of exogenous factors, including viral infections, in the development of these conditions. The coronavirus disease 2019 (COVID-19) pandemic again highlighted the complicated connection between viral infection and the development of diabetes. The complex interplay of proinflammatory, genetic, and socioeconomic factors can help explain the increased incidence of T1D and T2D during the pandemic. Proposed pathophysiological mechanisms connecting severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) to T1D include the expression of angiotensin enzyme 2 receptors on pancreatic islet cells, resultant proinflammatory states, and potential transient damage caused by viral entry. The intricate web of genetic factors, social determinants of health (including the rise of obesity), and the impact of proinflammatory states during SARS-CoV-2 infection on insulin resistance suggests mechanisms linking SARS-CoV-2 infection to the development of diabetes. [Pediatr Ann. 2024;53(7):e258-e263.].

Prevalence and factors associated with thyroid autoimmunity among children newly diagnosed with type 1 diabetes before and during the COVID-19 pandemic: Evidence from Kuwait

AIMS

This study reports the prevalence and characteristics related to the development of thyroid autoimmunity among children newly diagnosed with type I diabetes (T1D) during the COVID-19 pandemic in Kuwait.

MATERIALS AND METHODS

This is a prospective observational study of all children under age 14 years newly diagnosed with T1D in Kuwait. We define the duration of the COVID-19 pandemic from the official declaration of the first identified positive COVID-19 case on 24 February 2020 until 31 December 2022. For comparison, we use the time period directly before the COVID-19 pandemic, 1 January 2017 to 23 February 2020.

RESULTS

One thousand twenty-four (1024) children newly diagnosed with T1D in Kuwait during the study period were included. Among newly diagnosed children, 20.3% tested positive for thyroid antibodies during the COVID-19 pandemic, compared with 14.5% during the pre-pandemic period (p = 0.015). Children with positive COVID-19 status were more likely to present with thyroid antibodies (p = 0.035). After adjusting for other characteristics, patients diagnosed with T1D during the COVID-19 pandemic had double the odds of testing positive for thyroid antibodies (Adjusted odds ratio = 2.173, 95%CI: 1.108, 4.261, p = 0.024).

CONCLUSIONS

Incident cases of T1D during the COVID-19 pandemic may be different in aetiology or contextual factors leading to a higher risk of thyroid autoimmunity. Longitudinal studies are needed to understand the role of COVID-19 in the onset and progression of T1D and on thyroid autoimmunity and disease.

Changes in Pediatric Type 2 Diabetes During the COVID-19 Pandemic

Type 2 diabetes (T2D) is a growing concern among the pediatric population. During the coronavirus disease 2019 (COVID-19) pandemic, the incidence of pediatric T2D increased. This was more notable among males and Black people. Increased rates of T2D may be due to rising obesity rates observed during the pandemic, behavioral and nutritional changes due to the lockdown, and decreased structure typically provided by in-person schooling. New-onset T2D presentations are more severe than in years prior to the pandemic, with higher initial hemoglobin A1C levels and increased rates of diabetic ketoacidosis. Increased severity in presentation may be due to hesitation in seeking care, increased virtual care, and limited access to health care resources. The pathophysiology of the relationship between T2D and COVID-19 in youth is not clear at this time. More studies are needed to understand the true long-term impact of the COVID-19 pandemic on T2D in youth. [Pediatr Ann. 2024;53(7):e249-e253.].

Managing Children and Adolescents with Type 1 Diabetes and Coexisting Celiac Disease: Real-World Data from a Global Survey

INTRODUCTION

Celiac disease (CD) is among the diseases most commonly associated with type 1 diabetes (T1D). This study aimed to evaluate the worldwide practices and attitudes of physicians involved in pediatric diabetes care regarding diagnosing and managing CD in children with T1D.

METHODS

The 30-item survey was conducted between July and December 2023 aimed at targeting pediatricians with special interest in T1D and CD. It was shared by the JENIOUS - young investigators group of the International Society of Pediatric and Adolescent Diabetes (ISPAD) - and the YES - early career group of the European Society for Pediatric Endocrinology (ESPE).

RESULTS

Overall, 180 physicians (67.8% female) from 25 countries responded. Among respondents, 62.2% expected sustaining optimal glycemic control in children with T1D and CD (T1D + CD) to be more difficult than in children with T1D alone. Majority (81.1%) agreed that more specific guidelines are needed. The follow-up routine for patients with T1D + CD differed, and one-quarter of physicians scheduled more frequent follow-up checkups for these patients. Seventy percent agreed multidisciplinary outpatient clinics for their follow-up is needed. In the multivariate ordinal logistic regression model, a statistically significant predictor of a higher degree of practice according to ISPAD 2022 guidelines was a higher level of country income (OR = 3.34; p < 0.001).

CONCLUSIONS

These results showed variations in physicians' practices regarding managing CD in children with T1D, emphasizing the need for more specific guidelines and intensive education of physicians in managing this population, especially in lower-income countries. Our data also suggest the implementation of multidisciplinary outpatient clinics for their follow-up.

The prognostic significance of insulin resistance in COVID-19: a review

Objectives

Emerging publications indicate that diabetes predisposes patients with COVID-19 to more severe complications, which is partly attributed to inflammatory condition. In the current review, we reviewed recent published literature to provide evidence on the role of insulin resistance (IR) in diabetes, the association between diabetes and COVID-19 severity and mortality, the impact of COVID-19 infection on incident new-onset diabetes, mechanisms responsible for IR in COVID-19 patients, and the predictive value of different surrogates of IR in COVID-19.

Method

The literature search performs to find out studies that have assessed the association between IR surrogates and morbidity and mortality in patients with COVID-19.

Results

We showed that there is a bulk of evidence in support of the fact that diabetes is a potent risk factor for enhanced morbidity and mortality in COVID-19 patients. COVID-19 patients with diabetes are more prone to remarkable dysglycemia compared to those without diabetes, which is associated with an unfavourable prognosis. Furthermore, SARS-COV2 can make patients predispose to IR and diabetes via activating ISR, affecting RAAS signaling pathway, provoking inflammation, and changing the expression of PPARɣ and SREBP-1. Additionally, higher IR is associated with increased morbidity and mortality in COVID-19 patients and different surrogates of IR can be utilized as a prognostic biomarker for COVID-19 patients.

Conclusion

Different surrogates of IR can be utilized as predictors of COVID-19 complications and death.

Endothelial Extracellular Vesicles Enriched in microRNA-34a Predict New-Onset Diabetes in Coronavirus Disease 2019 (COVID-19) Patients: Novel Insights for Long COVID Metabolic Sequelae

Emerging evidence indicates that the relationship between coronavirus disease 2019 (COVID-19) and diabetes is 2-fold: 1) it is known that the presence of diabetes and other metabolic alterations poses a considerably high risk to develop a severe COVID-19; 2) patients who survived a severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) infection have an increased risk of developing new-onset diabetes. However, the mechanisms underlying this association are mostly unknown, and there are no reliable biomarkers to predict the development of new-onset diabetes. In the present study, we demonstrate that a specific microRNA (miR-34a) contained in circulating extracellular vesicles released by endothelial cells reliably predicts the risk of developing new-onset diabetes in COVID-19. This association was independent of age, sex, body mass index (BMI), hypertension, dyslipidemia, smoking status, and D-dimer. SIGNIFICANCE STATEMENT: We demonstrate for the first time that a specific microRNA (miR-34a) contained in circulating extracellular vesicles released by endothelial cells is able to reliably predict the risk of developing diabetes after having contracted coronavirus disease 2019 (COVID-19). This association was independent of age, sex, body mass index (BMI), hypertension, dyslipidemia, smoking status, and D-dimer. Our findings are also relevant when considering the emerging importance of post-acute sequelae of COVID-19, with systemic manifestations observed even months after viral negativization (long COVID).

Deep learning in public health: Comparative predictive models for COVID-19 case forecasting

The COVID-19 pandemic has had a significant impact on both the United Arab Emirates (UAE) and Malaysia, emphasizing the importance of developing accurate and reliable forecasting mechanisms to guide public health responses and policies. In this study, we compared several cutting-edge deep learning models, including Long Short-Term Memory (LSTM), bidirectional LSTM, Convolutional Neural Networks (CNN), hybrid CNN-LSTM, Multilayer Perceptron's, and Recurrent Neural Networks (RNN), to project COVID-19 cases in the aforementioned regions. These models were calibrated and evaluated using a comprehensive dataset that includes confirmed case counts, demographic data, and relevant socioeconomic factors. To enhance the performance of these models, Bayesian optimization techniques were employed. Subsequently, the models were re-evaluated to compare their effectiveness. Analytic approaches, both predictive and retrospective in nature, were used to interpret the data. Our primary objective was to determine the most effective model for predicting COVID-19 cases in the United Arab Emirates (UAE) and Malaysia. The findings indicate that the selected deep learning algorithms were proficient in forecasting COVID-19 cases, although their efficacy varied across different models. After a thorough evaluation, the model architectures most suitable for the specific conditions in the UAE and Malaysia were identified. Our study contributes significantly to the ongoing efforts to combat the COVID-19 pandemic, providing crucial insights into the application of sophisticated deep learning algorithms for the precise and timely forecasting of COVID-19 cases. These insights hold substantial value for shaping public health strategies, enabling authorities to develop targeted and evidence-based interventions to manage the virus spread and its impact on the populations of the UAE and Malaysia. The study confirms the usefulness of deep learning methodologies in efficiently processing complex datasets and generating reliable projections, a skill of great importance in healthcare and professional settings.

Evidence linking COVID-19 and the health/well-being of children and adolescents: an umbrella review

BACKGROUND

Experiences during childhood and adolescence have enduring impacts on physical and mental well-being, overall quality of life, and socioeconomic status throughout one's lifetime. This underscores the importance of prioritizing the health of children and adolescents to establish an impactful healthcare system that benefits both individuals and society. It is crucial for healthcare providers and policymakers to examine the relationship between COVID-19 and the health of children and adolescents, as this understanding will guide the creation of interventions and policies for the long-term management of the virus.

METHODS

In this umbrella review (PROSPERO ID: CRD42023401106), systematic reviews were identified from the Cochrane Database of Systematic Reviews; EMBASE (OvidSP); and MEDLINE (OvidSP) from December 2019 to February 2023. Pairwise and single-arm meta-analyses were extracted from the included systematic reviews. The methodological quality appraisal was completed using the AMSTAR-2 tool. Single-arm meta-analyses were re-presented under six domains associated with COVID-19 condition. Pairwise meta-analyses were classified into five domains according to the evidence classification criteria. Rosenberg's FSN was calculated for both binary and continuous measures.

RESULTS

We identified 1551 single-arm and 301 pairwise meta-analyses from 124 systematic reviews that met our predefined criteria for inclusion. The focus of the meta-analytical evidence was predominantly on the physical outcomes of COVID-19, encompassing both single-arm and pairwise study designs. However, the quality of evidence and methodological rigor were suboptimal. Based on the evidence gathered from single-arm meta-analyses, we constructed an illustrative representation of the disease severity, clinical manifestations, laboratory and radiological findings, treatments, and outcomes from 2020 to 2022. Additionally, we discovered 17 instances of strong or highly suggestive pairwise meta-analytical evidence concerning long-COVID, pediatric comorbidity, COVID-19 vaccines, mental health, and depression.

CONCLUSIONS

The findings of our study advocate for the implementation of surveillance systems to track health consequences associated with COVID-19 and the establishment of multidisciplinary collaborative rehabilitation programs for affected younger populations. In future research endeavors, it is important to prioritize the investigation of non-physical outcomes to bridge the gap between research findings and clinical application in this field.

Empagliflozin alleviates diabetes-induced cognitive impairments by lowering nicotinamide adenine dinucleotide phosphate oxidase-4 expression and potentiating the antioxidant defense system in brain tissue of diabetic rats

BACKGROUND

Diabetes-induced cognitive impairment is a major challenge in patients with uncontrolled diabetes mellitus. It has a complicated pathophysiology, but the role of oxidative stress is central. Therefore, the use of antidiabetic drugs with extra-glycemic effects that reduce oxidative damage may be a promising treatment option.

METHODS

Male Wistar rats were randomly divided into four groups as normal, normal treated, diabetic and diabetic treated (n = 8 per group). Type 1 diabetes was induced by a single intraperitoneal dose of streptozotocin (STZ) (40 mg/kg). Two treatment groups received empagliflozin for 5 weeks (20 mg/kg/po). Cognitive ability was evaluated using open field, Elevated Plus Maze (EPM) and the Morris Water Maze (MWM) tests at study completion. Blood and brain tissue samples were collected - and analysis for malondialdehyde (MDA) and glutathione (GLT) content and catalase (CAT) and superoxide dismutase (SOD) enzyme activity were performed. Additionally, expression of nicotinamide adenine dinucleotide phosphate oxidase-4 (Nox-4) enzyme in brain tissue was analyzed using RT-PCR.

RESULTS

STZ increased blood glucose and induced diabetes with oxidative stress by lowering the antioxidant system potency and increasing Nox-4 expression after 5-weeks in brain tissue accompanied by reduction in cognitive performance. Also, diabetes induced anxiety-like behavior and impaired spatial memory in MWM, EPM and open field tests. However, empagliflozin reversed these changes, improving SOD and CAT activity, GLT content and reducing Nox-4 expression and MDA concentration in brain tissue while improving cognitive ability. It reduced anxiety and depression-related activities. It also improved spatial memory in MWM test.

CONCLUSION

Uncontrolled diabetes negatively impacts mental function and impairs learning and cognitive performance via oxidative stress induction, the Nox-4 enzyme playing a central role. Empagliflozin reverses these effects, improving cognitive ability via promoting the anti-oxidative system and damping Nox-4 free radical generator enzyme expression. Therefore, empagliflozin is a promising treatment, providing both antidiabetic and extra-glycemic benefits for improving brain function in the diabetic milieu.

Cardiac Function in Pediatric Patients with MIS-C Using Speckle Tracking and Conventional Echocardiography: A Longitudinal, Single-Center Study

Cardiovascular involvement in Multisystem Inflammatory Syndrome in Children (MIS-C), a potential consequence of coronavirus disease-2019 (COVID-19), is common. Conventional transthoracic echocardiography (TTE) provides primary data on the function of the left and right ventricles, while Speckle Tracking Echocardiography (STE) is more sensitive. This study aims to assess longitudinal cardiac function using STE in these patients. This longitudinal study was conducted from late 2021 to early 2022 at Imam Hossein Children's Hospital, Isfahan. Cardiac function was assessed by STE at the time of diagnosis and again two months later. Demographics, clinical characteristics, ECG interpretations, imaging studies, and serum cardiac marker levels were collected. Thirty-five pediatric patients with a mean age of 5.1 years (range: 4 months to 17 years) were included and prospectively followed. Twenty-nine of them, comprising 14 males (48.3%) and 15 females (51.7%), underwent STE and were compared with 29 healthy age- and sex-matched children. Factors related to adverse events included reduced myocardial function, enlarged left atrium or ventricle, and mitral regurgitation (MR). Patients with comorbidities affecting strain measurements were excluded from the strain analyses. A significant difference was observed between the groups in regional strains in the basal and apical septal and middle lateral regions. Global strain rate (GLS) and strain rates were not significantly different but were still lower than the control group. Twenty percent of patients had abnormal GLS but normal left ventricular ejection fraction (LVEF). All patients exhibited reduced segmental myocardial strain in at least one segment. Four out of 26 recovered patients without comorbidities had abnormal GLS at follow-up, despite normal LVEF. STE proves more useful than conventional echocardiography in patients with MIS-C, revealing subclinical cardiac injury in the acute and post-acute phases.

Incidence of type 1 diabetes mellitus in children and adolescents under 20 years of age across 55 countries from 2000 to 2022: A systematic review with meta-analysis

AIMS

The aim of this study was to determine the global incidence of type 1 diabetes mellitus (T1DM) in children and adolescents under 20 years of age from 2000 to 2022.

MATERIALS AND METHODS

Two reviewers searched three electronic databases (PubMed, Web of Science, and CINAHL) for studies published between January 2000 and November 2022. Pooled estimates of T1DM incidence with a 95% confidence interval (CI) per 100,000 person-years were calculated by country/region, sex, age, and COVID-19 pandemic period (pre-COVID-19 and pandemic).

RESULTS

The study included 126 studies from 55 countries and 18 regions. The incidence rate (IR) of T1DM from 2000 to 2022 was 14.07 (95%CI, 12.15-16.29) per 100,000 person-years. Finland and high-income North America had the highest IR, with 56.81 (95%CI, 55.91-57.73) and 28.77 (95%CI, 26.59-31.13) per 100,000 person-years, respectively. The IR was 13.37 (95%CI, 10.60-16.88) per 100,000 person-years in boys and 13.87 (95%CI, 11.51-16.70) per 100,000 person-years in girls. There were statistically significant differences among different age ranges: 0-4 versus 5-9 and 10-14 years old (p < 0.001); 5-9 versus 15-19 (p < 0.001) and 10-14 versus 15-19 years old (p = 0.003). Finally, during the pandemic period (2020-2022), the IR was 24.84 (95%CI, 17.16-35.96) per 100,000 person-years, which was higher but not significant compared with the prepandemic period (2017-2019) of 13.56 (95%CI, 7.49-24.56) per 100,000 person-years (p = 0.090).

CONCLUSIONS

The IR of T1DM in children and adolescents under 20 years of age is substantial, especially during the pandemic period, although it varies across regions. More reliable data from additional countries are needed to determine the worldwide incidence of T1DM.

Change in the Frequency of Diabetic Ketoacidosis in Children with Newly Diagnosed Type 1 Diabetes in the Central Anatolia Region of Turkey over the Years Before and After the Coronavirus Disease 2019 Pandemic: A Single-Center Experience

OBJECTIVE

The number of admissions for severe diabetic ketoacidosis (DKA) in children with newly diagnosed type 1 diabetes (T1D) increased during the coronavirus disease 2019 pandemic. We aimed to investigate whether there has been a change in this situation in recent years.

MATERIALS AND METHODS

All children with T1D who were diagnosed in our tertiary hospital between 2019 and 2023 were included. Plasma insulin, C-peptide, hemoglobin A1c (HbA1c), and antibodies against thyroid peroxidase, thyroglobulin, insulin, islet cell, glutamic acid decarboxylase, tissue transglutaminase IgA, and endomysium IgA were measured.

RESULTS

The frequency of moderate-severe acidosis at admission, which increased after pandemic period compared to the pre-pandemic period, returns to its previous levels over time but still shows a statistical difference compared to the pre-pandemic period (P = .012). Age, blood gas pH and HCO3 level, C-peptide, HbA1c, and length of stay of children at the time of admission were compared year by year (years 2019-2023). No statistical differences were observed (P = .509, P = .181, P = .069, P = .469, P = .346, P = .946), respectively. A significant difference was observed in venous glucose (P .001) and insulin (P = .001) according to years. Also, no significant difference was found about the degree of acidosis according to age (P = .334).

CONCLUSION

Although the frequency of DKA in children with newly-diagnosed T1D increased in the first years of the pandemic, it has been decreasing over t.

Potential Beneficial Effects of Naringin and Naringenin on Long COVID-A Review of the Literature

Coronavirus disease 2019 (COVID-19) caused a severe epidemic due to severe acute respiratory syndrome coronavirus-2 (SARS-CoV-2). Recent studies have found that patients do not completely recover from acute infections, but instead, suffer from a variety of post-acute sequelae of SARS-CoV-2 infection, known as long COVID. The effects of long COVID can be far-reaching, with a duration of up to six months and a range of symptoms such as cognitive dysfunction, immune dysregulation, microbiota dysbiosis, myalgic encephalomyelitis/chronic fatigue syndrome, myocarditis, pulmonary fibrosis, cough, diabetes, pain, reproductive dysfunction, and thrombus formation. However, recent studies have shown that naringenin and naringin have palliative effects on various COVID-19 sequelae. Flavonoids such as naringin and naringenin, commonly found in fruits and vegetables, have various positive effects, including reducing inflammation, preventing viral infections, and providing antioxidants. This article discusses the molecular mechanisms and clinical effects of naringin and naringenin on treating the above diseases. It proposes them as potential drugs for the treatment of long COVID, and it can be inferred that naringin and naringenin exhibit potential as extended long COVID medications, in the future likely serving as nutraceuticals or clinical supplements for the comprehensive alleviation of the various manifestations of COVID-19 complications.

Pulmonary function in children post -SARS-CoV-2 infection: a systematic review and meta-analysis

OBJECTIVE

There are some concerns regarding long-term complications of COVID-19 in children. A systematic review and meta-analysis was performed evaluating the respiratory symptoms and pulmonary function, post-SARS-CoV-2 infection.

METHODS

A systematic search was performed in databases up to 30 March 2023. Studies evaluating respiratory symptoms and pulmonary function after COVID-19 infection in children were selected. The major outcomes were the frequency of respiratory symptoms and the mean of spirometry parameters. A pooled mean with 95% confidence intervals (CIs) was calculated.

RESULTS

A total of 8 articles with 386 patients were included in meta-analysis. Dyspnea, cough, exercise intolerance, and fatigue were the most common symptoms. The meta-mean of forced expiratory volume (FEV1) and forced vital capacity (FVC) was 101.72%, 95% CI= (98.72, 104.73) and 101.31%, 95% CI= (95.44, 107.18) respectively. The meta-mean of FEV1/FVC and Forced expiratory flow at 25 and 75% was 96.16%, 95% CI= (90.47, 101.85) and 105.05%, 95% CI= (101.74, 108.36) respectively. The meta-mean of diffusing capacity for carbon monoxide was 105.30%, 95%CI= (88.12, 122.49). There was no significant difference in spirometry parameters before and after bronchodilator inhalation.

CONCLUSIONS

Despite some clinical respiratory symptoms, meta-results showed no abnormality in pulmonary function in follow-up of children with SARS-CoV-2 infection. Disease severity and asthma background had not confounded this outcome.

The impact of the COVID-19 pandemic and associated disruptions in health-care provision on clinical outcomes in people with diabetes: a systematic review

The COVID-19 pandemic triggered disruptions to health care and lifestyles that could conceivably impact diabetes management. We set out to identify the impact of disruptions caused by COVID-19 on clinical outcomes in people with diabetes. We performed a systematic review of the available literature in the MEDLINE and OVID databases from Jan 1, 2020, to June 7, 2023, and included 138 studies (n>1 000 000 people). All but five studies were judged to be at some risk of bias. All studies compared prepandemic with pandemic periods. All-cause mortality (six studies) and diabetes-related mortality (13 studies) showed consistent increases, and most studies indicated increases in sight loss (six studies). In adult and mixed samples, data generally suggested no difference in diabetic ketoacidosis frequency or severity, whereas in children and adolescents most studies showed increases with some due to new-onset diabetes (69 studies). Data suggested decreases in hospital admissions in adults but increases in diabetes-related admissions to paediatric intensive care units (35 studies). Data were equivocal on diabetic foot ulcer presentations (nine studies), emergency department admissions (nine studies), and overall amputation rates (20 studies). No studies investigated renal failure. Where reported, the impact was most pronounced for females, younger people, and racial and ethnic minority groups. Further studies are needed to investigate the longer-term impact of the pandemic and the on potential differential impacts, which risk further exacerbating existing inequalities within people with diabetes.

Type 1 diabetes: A new vision of the disease based on endotypes

Diagnosis and management of type 1 diabetes (T1D) have remained largely unchanged for the last several years. The management of the disease remains primarily focused on its phenotypical presentation and less on endotypes, namely the specific biological mechanisms behind the development of the disease. Furthermore, the treatment of T1D is essentially universal and indiscriminate-with patients administering insulin at varying dosages and frequencies to maintain adequate glycaemic control. However, it is now well understood that T1D is a heterogeneous disease with many different biological mechanisms (i.e. endotypes) behind its complex pathophysiology. A range of factors, including age of onset, immune system regulation, rate of β-cell destruction, autoantibodies, body weight, genetics and the exposome are recognised to play a role in the development of the condition. Patients can be classified into distinct diabetic subtypes based on these factors, which can be used to categorise patients into specific endotypes. The classification of patients into endotypes allows for a greater understanding of the natural progression of the disease, giving rise to more accurate and patient-centred therapies and follow-up monitoring, specifically for other autoimmune diseases. This review proposes 6 unique endotypes of T1D based on the current literature. The recognition of these endotypes could then be used to direct therapeutic modalities based on patients' individual pathophysiology.

Covid 19 and diabetes in children: advances and strategies

BACKGROUND

Throughout the COVID-19 pandemic, there has been a notable increase in the incidence of new-onset diabetes and diabetic ketoacidosis (DKA). Simultaneously, children diagnosed with type 1 diabetes (T1D) have encountered difficulties in maintaining optimal blood glucose levels. The mechanisms underpinning these correlations still remain a puzzle. We reviewed the studies that examined changes in incidence during the pandemic. These studies utilized various metrics for comparison, which encompassed the timing of data collection, diagnostic criteria, as well as the numbers and incidence rates of diabetes and DKA. We found the incidence of diabetes and DKA was higher during the pandemic. As to mechanisms, the invivo and invitro study revealed the factors such as direct viral damage, metabolic dysfunction, and immune responses all attribute to the process of T1D after suffering from COVID-19. Furthermore, we provide some useful strategies to prevent and treat children suffering from diabetes and COVID-19.

CONCLUSIONS

Strong correlations have been observed between new-onset diabetes and COVID-19. Insights gleaned from clinical descriptions and basic research can offer valuable experience and recommendations for the treatment and prevention of diabetes during future pandemics.

Spatiotemporal association between COVID-19 incidence and type 1 diabetes incidence among children and adolescents: a register-based ecological study in Germany

Objective

Studies have shown an increased incidence of pediatric type 1 diabetes during the COVID-19 pandemic, but the detailed role of SARS-CoV-2 infection in the incidence increase in type 1 diabetes remains unclear. We investigated the spatiotemporal association of pediatric type 1 diabetes and COVID-19 incidence at the district level in Germany.

Methods

For the period from March 2020 to June 2022, nationwide data on incident type 1 diabetes among children and adolescents aged <20 years and daily documented COVID-19 infections in the total population were obtained from the German Diabetes Prospective Follow-up Registry and the Robert Koch Institute, respectively. Data were aggregated at district level and seven time periods related to COVID-19 pandemic waves. Spatiotemporal associations between indirectly standardized incidence rates of type 1 diabetes and COVID-19 were analyzed by Spearman correlation and Bayesian spatiotemporal conditional autoregressive Poisson models.

Results

Standardized incidence ratios of type 1 diabetes and COVID-19 in the pandemic period were not significantly correlated across districts and time periods. A doubling of the COVID-19 incidence rate was not associated with a significant increase in the incidence rate of type 1 diabetes (relative risk 1.006, 95% CI 0.987; 1.019).

Conclusion

Our findings based on data from the pandemic period indirectly indicate that a causal relationship between SARS-COV-2 infection and type 1 diabetes among children and adolescents is unlikely.

Incidence of type 1 diabetes in Chilean children between 2006 and 2021: significant increase during the COVID-19 pandemic

AIMS

An increase in type 1 diabetes (T1D) incidence has been observed in several countries during the COVID-19 pandemic. The objective of this study is to determine T1D incidence trends in Chilean children between 2006 and 2021, and specifically evaluate the effect of the COVID-19 pandemic in this population.

METHODS

We reviewed mandatory notifications of T1D in Chile's public and private health system in youth < 20 years between 2006 and 2021, and compared COVID-19 pre-pandemic and pandemic incidence.

RESULTS

In Chile, 9472 new T1D cases in children were confirmed between 2006 and 2021. The mean annual T1D incidence in the entire period was 12.7/100,000 inhabitants, with an incidence of 11.7/100,000 between 2006 and 2019 vs. 20.2/100,000 during 2020-2021 (β = 0.691, [95%CI 0.479-0903], p < 0.001.) The highest incidence was observed in the 10-14 years age group, but a significant increasing incidence was observed in all age groups. The second year of the COVID-19 pandemic, 2021, had the highest incidence rate of the study period. While a 5% mean annual increase was observed between 2006 and 2019, in 2021 the T1D incidence jumped 28.5% compared with the two previous years. We found a higher T1D incidence in population with private insurance than public insurance (14.8 vs. 11.7/100.000, respectively, RR = 1.26 [95%CI 1.03-1.53], p < 0.027).

CONCLUSIONS

T1D incidence rates in Chilean youth doubled between 2006 and 2018, subsequently presenting a striking increase during the COVID-19 pandemic.

Routine pediatric vaccinations during the COVID-19 pandemic: A review of the global impact

The coronavirus disease 2019 (COVID-19) pandemic has put standard, routine childhood vaccinations at risk worldwide. The disruption in vaccine coverage has resulted in a negative impact on the health of children, with some races, ethnicities, age groups, areas of settlement, and parts of the world affected more than others. This literature review studied and examined the impact of COVID-19 on infant, child, and adolescent vaccinations. Retrospectively, the analysis showed a decline, delays, or interruptions in the coverage of vaccines during the pan-demic and a decline in some countries' pre-pandemic and post-pandemic eras. Necessary attempts and efforts should be made for these delayed and missed vaccinations, as failure to do so could put children's health at risk. Thus, priority should be directed at instituting catch-up programs to support vaccine uptake and decrease the probability of acquiring vaccine-preventable diseases.

Incidence of type 2 diabetes before and during the COVID-19 pandemic in Naples, Italy: a longitudinal cohort study

Background

The association of COVID-19 with the development of new-onset diabetes has been recently investigated by several groups, yielding controversial results. Population studies currently available in the literature are mostly focused on type 1 diabetes (T1D), comparing patients with a SARS-CoV-2 positive test to individuals without COVID-19, especially in paediatric populations. In this study, we sought to determine the incidence of type 2 diabetes (T2D) before and during the COVID-19 pandemic.

Methods

In this longitudinal cohort study, we analysed a cohort followed up over a 6-year period using an Interrupted Time Series approach, i.e. 3-years before and 3-years during the COVID-19 pandemic. We analysed data obtained from >200,000 adults in Naples (Italy) from January 1st 2017 to December 31st 2022. In this manner, we had the opportunity to compare the incidence of newly diagnosed T2D before (2017-2019) and during (2020-2022) the COVID-19 pandemic. The key inclusion criteria were age >18-year-old and data availability for the period of observation; patients with a diagnosis of diabetes obtained before 2017 were excluded. The main outcome of the study was the new diagnosis of T2D, as defined by the International Classification of Diseases 10 (ICD-X), including prescription of antidiabetic therapies for more than 30 days.

Findings

A total of 234,956 subjects were followed-up for at least 3-years before or 3-years during the COVID-19 pandemic and were included in the study; among these, 216,498 were analysed in the pre-pandemic years and 216,422 in the pandemic years. The incidence rate of T2D was 4.85 (95% CI, 4.68-5.02) per 1000 person-years in the period 2017-2019, vs 12.21 (95% CI, 11.94-12.48) per 1000 person-years in 2020-2022, with an increase of about twice and a half. Moreover, the doubling time of the number of new diagnoses of T2D estimated by unadjusted Poisson model was 97.12 (95% CI, 40.51-153.75) months in the prepandemic period vs 23.13 (95% CI, 16.02-41.59) months during the COVID-19 pandemic. Interestingly, these findings were also confirmed when examining patients with prediabetes.

Interpretation

Our data from this 6-year study on more than 200,000 adult participants indicate that the incidence of T2D was significantly higher during the pandemic compared to the pre-COVID-19 phase. As a consequence, the epidemiology of the disease may change in terms of rates of outcomes as well as public health costs. COVID-19 survivors, especially patients with prediabetes, may require specific clinical programs to prevent T2D.

Funding

The US National Institutes of Health (NIH: NIDDK, NHLBI, NCATS), Diabetes Action Research and Education Foundation, Weill-Caulier and Hirschl Trusts.

Paediatric new onset type 1 diabetes and diabetic ketoacidosis during the COVID-19 pandemic in Malaysia

AIMS

Despite emerging evidence of increased paediatric diabetes mellitus (DM) and diabetic ketoacidosis (DKA) worldwide following the COVID-19 pandemic, studies in Asia are lacking. We aimed to determine the frequency, demographics, and clinical characteristics of new onset type 1 DM (T1DM) during the pandemic in Malaysia.

METHODS

This is a retrospective multicenter study involving new onset T1DM paediatric patients in Klang Valley, Malaysia during two time periods ie 18th September 2017-17th March 2020 (pre-pandemic) and 18th March 2020-17th September 2022 (pandemic).

RESULTS

There was a total of 180 patients with new onset T1DM during the 5-year study period (71 pre-pandemic, 109 pandemic). An increase in frequency of T1DM was observed during the pandemic (52 in 2021, 38 in 2020, 27 in 2019 and 30 in 2018). A significantly greater proportion of patients presented with DKA (79.8 % vs 64.8 %), especially severe DKA (46.8 % vs 28.2 %) during the pandemic. Serum glucose was significantly higher (28.2 mmol vs 25.9 mmol/L) with lower venous pH (7.10 vs 7.16), but HbA1c was unchanged.

CONCLUSIONS

New onset T1DM increased during the pandemic, with a greater proportion having severe DKA. Further studies are required to evaluate the mechanism leading to this rise to guide intervention measures.

Risk of New-onset Type 1 Diabetes in Danish Children and Adolescents After SARS-CoV-2 Infection: A Nationwide, Matched Cohort Study

We investigated the association between SARS-CoV-2 infection and new-onset type 1 diabetes (T1D) in children and adolescents in a nationwide, matched cohort study. The hazard ratio of new-onset T1D within 6 months after SARS-CoV-2 infection was 1.22 (0.58-2.58). The risk of new-onset T1D in children and adolescents was not significantly increased after SARS-CoV-2 infection.

COVID-19 induced type 1 diabetes: A systematic review of case reports and series

AIMS

To provide an overview of reported cases of new-onset type 1 diabetes mellitus (T1D) following COVID-19 infection.

METHODS

PubMed and Scopus library databases were screened for relevant case reports published between January 2020 and June 2022. Study design, geographic region or language were not restricted.

RESULTS

Twenty studies were identified and involved 37 patients (20 [54%] male, 17 [46%] female). Median age was 11.5 years (range 8 months-33 years) and 31 (84%) patients were aged ≤17 years. Most patients (33, 89%) presented with diabetic ketoacidosis (DKA). In total, 23 (62%) patients presented at the time of positive COVID-19 testing and 14 (38%) had symptoms consistent with COVID-19 infection or a previous positive test (1-56 days). Diabetes symptomatology was provided in 22 cases and (19, 86%) reported polyuria, polydipsia, polyphagia, fatigue, or weight loss or a combination of the aforementioned in the preceding weeks (3 days-12 weeks). Of the 28 patients that had data on acute and long-term treatment, all recovered well and most were managed with basal bolus insulin regimens. Quality assessment showed that most reports were either 'good' or 'moderate quality'.

CONCLUSIONS

Although uncommon, new-onset T1D is a condition healthcare professionals may expect to see following a COVID-19 infection.

Type 1 Diabetes and COVID-19: A Literature Review and Possible Management

Context

Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) infection normally damages the respiratory system but might likewise impair endocrine organs' function. Thyroid dysfunction and hyperglycemia are common endocrine complications of SARS-CoV-2 infection. The onset of type 1 diabetes (T1D) and associated complications, including diabetic ketoacidosis (DKA), hospitalization, and death, are thought to have increased during the coronavirus disease 2019 (COVID-19) pandemic. The aim of this study was to review the available data about the incidence rate of T1D and accompanying complications since the beginning of the COVID-19 pandemic.

Evidence Acquisition

A literature review was conducted using the electronic databases PubMed and Google Scholar. The keywords "T1D, T1DM, Type 1 DM or Type 1 Diabetes", "Coronavirus, SARS-CoV-2 or COVID-19" were used to search these databases. Titles and abstracts were screened for selection, and then relevant studies were reviewed in full text.

Results

A total of 25 manuscripts out of 304 identified studies were selected. There were 15 (60%) multicenter or nationwide studies. The data about the incidence rate of T1D, hospitalization, and death are not consistent across countries; however, DKA incidence and severity seem to be higher during the COVID-19 pandemic. The present study's data collection demonstrated that COVID-19 might or might not increase the incidence of T1D. Nevertheless, it is associated with the higher incidence and severity of DKA in T1D patients. This finding might indicate that antivirals are not fully protective against the endocrine complications of SARS-CoV-2 infection, which promotes the application of an alternative approach.

Conclusions

Combining medications that reduce SARS-CoV-2 entry into the cells and modulate the immune response to infection is an alternative practical approach to treating COVID-19.

Quantifying association and disparities between diabetes complications and COVID-19 outcomes: A retrospective study using electronic health records

BACKGROUND

Despite established relationships between diabetic status and an increased risk for COVID-19 severe outcomes, there is a limited number of studies examining the relationships between diabetes complications and COVID-19-related risks. We use the Adapted Diabetes Complications Severity Index to define seven diabetes complications. We aim to understand the risk for COVID-19 infection, hospitalization, mortality, and longer length of stay of diabetes patients with complications.

METHODS

We perform a retrospective case-control study using Electronic Health Records (EHRs) to measure differences in the risks for COVID-19 severe outcomes amongst those with diabetes complications. Using multiple logistic regression, we calculate adjusted odds ratios (OR) for COVID-19 infection, hospitalization, and in-hospital mortality of the case group (patients with diabetes complications) compared to a control group (patients without diabetes). We also calculate adjusted mean difference in length of stay between the case and control groups using multiple linear regression.

RESULTS

Adjusting demographics and comorbidities, diabetes patients with renal complications have the highest odds for COVID-19 infection (OR = 1.85, 95% CI = [1.71, 1.99]) while those with metabolic complications have the highest odds for COVID-19 hospitalization (OR = 5.58, 95% CI = [3.54, 8.77]) and in-hospital mortality (OR = 2.41, 95% CI = [1.35, 4.31]). The adjusted mean difference (MD) of hospital length-of-stay for diabetes patients, especially those with cardiovascular (MD = 0.94, 95% CI = [0.17, 1.71]) or peripheral vascular (MD = 1.72, 95% CI = [0.84, 2.60]) complications, is significantly higher than non-diabetes patients. African American patients have higher odds for COVID-19 infection (OR = 1.79, 95% CI = [1.66, 1.92]) and hospitalization (OR = 1.62, 95% CI = [1.39, 1.90]) than White patients in the general diabetes population. However, White diabetes patients have higher odds for COVID-19 in-hospital mortality. Hispanic patients have higher odds for COVID-19 infection (OR = 2.86, 95% CI = [2.42, 3.38]) and shorter mean length of hospital stay than non-Hispanic patients in the general diabetes population. Although there is no significant difference in the odds for COVID-19 hospitalization and in-hospital mortality between Hispanic and non-Hispanic patients in the general diabetes population, Hispanic patients have higher odds for COVID-19 hospitalization (OR = 1.83, 95% CI = [1.16, 2.89]) and in-hospital mortality (OR = 3.69, 95% CI = [1.18, 11.50]) in the diabetes population with no complications.

CONCLUSIONS

The presence of diabetes complications increases the risks of COVID-19 infection, hospitalization, and worse health outcomes with respect to in-hospital mortality and longer hospital length of stay. We show the presence of health disparities in COVID-19 outcomes across demographic groups in our diabetes population. One such disparity is that African American and Hispanic diabetes patients have higher odds of COVID-19 infection than White and Non-Hispanic diabetes patients, respectively. Furthermore, Hispanic patients might have less access to the hospital care compared to non-Hispanic patients when longer hospitalizations are needed due to their diabetes complications. Finally, diabetes complications, which are generally associated with worse COVID-19 outcomes, might be predominantly determining the COVID-19 severity in those infected patients resulting in less demographic differences in COVID-19 hospitalization and in-hospital mortality.

Pediatric Diabetes and Diabetic Ketoacidosis After COVID-19: Challenges Faced and Lessons Learnt

The coronavirus disease (COVID-19) pandemic affected the management and follow-up of several chronic ailments, including pediatric type 1 diabetes mellitus (T1DM). Restricted access to healthcare and fear of contracting the virus during medical facility visits resulted in poor compliance, irregular follow-up visits, treatment, and delayed diagnosis of complications in pediatric diabetes such as diabetic ketoacidosis (DKA). As such, the incidence of complicated DKA in resource-limited settings is high due to delayed presentation, poor compliance with therapy, and associated comorbidities such as malnutrition and sepsis. The pandemic had only added to the woes. The increased surge in DKA, in the face of limited resources, prompted clinicians to find alternative solutions to manage these children effectively. In this narrative review, we discuss the key challenges faced globally while caring for children with T1DM and DKA during the COVID-19 pandemic, and the lessons learned thereof.

Association Between COVID-19 and Severity of Illness for Children With Hyperglycemic Crisis

OBJECTIVES

Admissions to the ICU for children with hyperglycemic crisis (HGC, defined as diabetic ketoacidosis, hyperglycemic hyperosmolar syndrome, or hyperosmolar ketoacidosis) increased during the COVID-19 pandemic. We sought to identify if severity of illness for HGC also increased from prepandemic to pandemic years 1 and 2.

METHODS

Retrospective study of children aged ≤18 years hospitalized in the Pediatric Health Information System for HGC. Pre-COVID-19 years were defined as March 2017-February 2020, COVID-19 year 1 as March 2020-February 2021, and COVID-19 year 2 as March 2021-February 2022. The primary outcome was ICU admission. Secondary outcomes included mortality, length of stay, cost, and use of neurologic therapies, mechanical ventilation, or vasoactive support.

RESULTS

There were 46 425 HGC admissions to 42 hospitals, 20 045 (43.2%) of which were ICU admissions. In comparison with pre-COVID-19, children admitted in COVID-19 year 1 (odds ratio, 1.31 [95% confidence interval, 1.25-1.38], P < .0001) and year 2 (odds ratio, 1.17 [95% confidence interval, 1.11-1.22], P < .0001) had a higher odds of ICU admission in multivariable modeling after controlling for confounding variables. Severity of illness was higher during COVID-19 years when considering secondary outcomes, although these associations were not consistent across outcomes and year. There was no difference in mortality.

CONCLUSIONS

Children with HGC had a higher severity of illness during the pandemic which was sustained over 2 years. Reduction in social distancing and evolving variants of SARS-CoV-2 over the 2 years of the pandemic did not significantly alter the relationship between HGC and higher requirement for ICU care.

Endocrinological Involvement in Children and Adolescents Affected by COVID-19: A Narrative Review

Since the advent of the severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) pandemic, an increased incidence of several endocrinological anomalies in acute-phase and/or long-term complications has been described. The aim of this review is to provide a broad overview of the available literature regarding changes in the worldwide epidemiology of endocrinological involvement in children since December 2019 and to report the evidence supporting its association with coronavirus disease 2019 (COVID-19). Although little is known regarding the involvement of endocrine organs during COVID-19 in children, the current evidence in adults and epidemiological studies on the pediatric population suggest the presence of a causal association between the virus and endocrinopathies. Untreated transient thyroid dysfunction, sick euthyroid syndrome, nonthyroidal illness syndrome, and hypothalamic-pituitary-adrenal (HPA) axis and central precocious puberty have been observed in children in acute infection and/or during multisystem inflammatory syndrome development. Furthermore, a higher frequency of ketoacidosis at onset in children with a new diagnosis of type 1 diabetes is reported in the literature. Although the direct association between COVID-19 and endocrinological involvement has not been confirmed yet, data on the development of different endocrinopathies in children, both during acute infection and as a result of its long-term complications, have been reported. This information is of primary importance to guide the management of patients with previous or current COVID-19.

Impact of the COVID-19 pandemic on the incidence and clinical outcomes of diabetic ketoacidosis among male and female children with type 1 diabetes: systematic review and meta-analysis

Background: Some studies suggest that the SARS-CoV-2 pandemic increased the incidence of type 1 diabetes mellitus (T1DM) and diabetic ketoacidosis (DKA). However, the impact of this pandemic on pediatric T1DM is still mostly unknown. Therefore, we aimed to assess the effect of the COVID-19 pandemic on clinical outcomes in children with T1DM. Methods: We systematically searched for six databases up to 31 August 2022. We included 46 observational studies, 159,505 children of both sexes with T1DM, and 17,547 DKA events. Results: The COVID-19 pandemic significantly increased, in both sexes, the incidence of 1) DKA (OR 1.68; 95% CI 1.44-1.96), 2) severe DKA (OR 1.84; 95% CI 1.59-2.12), 3) DKA in newly diagnosed T1DM (OR 1.75; 95% CI 1.51-2.03), and 4) ICU admissions (OR 1.90; 95% CI 1.60-2.26). However, we did not find a significant association between this pandemic and 1) the incidence of T1DM, 2) the incidence of DKA in established T1DM, 3) the incidence of KDA complications, 4) the length of hospitalization stay, and 5) mortality. Subgroup analysis showed that the study design and the continent of origin accounted for the heterogeneity. Conclusions: The pandemic SARS-CoV-2 raised, in both sexes, the risk of DKA, severe DKA, DKA de novo, and ICU admissions.

Dissecting the Interrelationship between COVID-19 and Diabetes Mellitus

COVID-19 disease, caused by severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), has led to enormous morbidity and mortality worldwide. After gaining entry into the human host, the virus initially infects the upper and lower respiratory tract, subsequently invading multiple organs, including the pancreas. While on one hand, diabetes mellitus (DM) is a significant risk factor for severe COVID-19 infection and associated death, recent reports have shown the onset of DM in COVID-19-recovered patients. SARS-CoV-2 infiltrates the pancreatic islets and activates stress response and inflammatory signaling pathways, impairs glucose metabolism, and consequently leads to their death. Indeed, the pancreatic autopsy samples of COVID-19 patients reveal the presence of SARS-CoV-2 particles in β-cells. The current review describes how the virus enters the host cells and activates an immunological response. Further, it takes a closer look into the interrelationship between COVID-19 and DM with the aim to provide mechanistic insights into the process by which SARS-CoV-2 infects the pancreas and mediates dysfunction and death of endocrine islets. The effects of known anti-diabetic interventions for COVID-19 management are also discussed. The application of mesenchymal stem cells (MSCs) as a future therapy for pancreatic β-cells damage to reverse COVID-19-induced DM is also emphasized.

Severe multiple organ failure as a consequence of diabetic ketoacidosis in an adolescent with new-onset type 1 diabetes: A case report

The initial presentation of pediatric diabetes is variable, making prompt diagnosis and treatment challenging. The overlap between type 1 and type 2 diabetes and presence of developmental delays can complicate diagnosis, resulting in delays and severe illness at presentation. Here we describe a case of a 13-year-old male with autism and attention deficit hyperactivity disorder who presented with severe diabetic ketoacidosis, multiple organ failure, and shock. Within 2 weeks of this initial presentation, he had further clinical decompensation due to an intestinal perforation. Cultures from resected gastrointestinal tissue grew mucormycosis, protracting his hospital stay and recovery. He was able to go home several months later with remarkable improvement. This case highlights the necessity of careful history taking and early testing, and how investigation for rare complications of diabetes is vital when patients do not improve as expected.

Pediatric COVID-19 and Diabetes: An Investigation into the Intersection of Two Pandemics

Coronavirus disease 2019 (COVID-19) is a complex infectious disease caused by the SARS-CoV-2 virus, and it currently represents a worldwide public health emergency. The pediatric population is less prone to develop severe COVID-19 infection, but children presenting underlying medical conditions, such as diabetes mellitus, are thought to be at increased risk of developing more severe forms of COVID-19. Diabetic children face new challenges when infected with SARS-CoV-2. On one hand, the glycemic values become substantially more difficult to manage as COVID-19 is a predisposing factor for hyperglycemia. On the other hand, alongside other risk factors, high glycemic values are incriminated in modulating immune and inflammatory responses, leading to potentially severe COVID-19 cases in the pediatric population. Also, there are hypotheses of SARS-CoV-2 being diabetogenic itself, but this information is still to be confirmed. Furthermore, it is reported that there was a noticeable increase in the number of cases of new-onset type 2 diabetes among the pediatric population, and the complications in these patients with COVID-19 include the risk of developing autoimmune diseases under the influence of stress. Additionally, children with diabetes mellitus are confronted with lifestyle changes dictated by the pandemic, which can potentially lead to the onset or exacerbation of a potential underlying anxiety disorder or depression. Since the literature contains a series of unknowns related to the impact of COVID-19 in both types of diabetes in children, the purpose of our work is to bring together the data obtained so far and to identify potential knowledge gaps and areas for future investigation regarding COVID-19 and the onset of diabetes type 1 or type 2 among the pediatric population.

Disrupted Pediatric Diabetes Trends in the Second Year of the COVID-19 Pandemic

Context

Increases in incident cases of pediatric type 1 (T1D) and type 2 diabetes (T2D) were observed during the first year of the COVID-19 pandemic.

Objective

This work aimed to identify trends in incidence and presentation of pediatric new-onset T1D and T2D during the second year of the COVID-19 pandemic.

Methods

A retrospective chart review was conducted. Demographics, anthropometrics, and initial laboratory results from patients aged 0 to 21 years who presented with new-onset diabetes to a pediatric tertiary care center were recorded.

Results

The incident cases of T1D (n = 46) and T2D (n = 46) in 2021-2022 (second year of the pandemic) were consistent with the incident cases of T1D (n = 46) and T2D (n = 53) in 2020 to 2021 (first year of the pandemic). Compared to the incident cases of diabetes in the prepandemic years, in the second year, the incident cases of T1D increased 48%, and the incident cases of T2D increased 188%. In the second year of the pandemic, incident cases of T2D represented half (50%) of all newly diagnosed pediatric diabetes cases. Patients with T2D were more likely to present in diabetic ketoacidosis, though this was not statistically significant (P = .08).

Conclusion

The increase in incident cases of pediatric T1D and T2D observed during the first year of the COVID-19 pandemic persisted during the second pandemic year. This suggests that despite pediatric vaccination efforts and return to social in-person activities, we may continue to see effects of the pandemic on pediatric diabetes trends.

Is COVID-19 to Blame? Trends of Incidence and Sex Ratio in Youth-Onset Type 2 Diabetes in Germany

OBJECTIVE

We investigated the incidence of pediatric type 2 diabetes (T2D) in Germany during 2 years of the coronavirus disease 2019 (COVID-19) pandemic (2020-2021) compared with the control period 2011-2019.

RESEARCH DESIGN AND METHODS

Data on T2D in children (aged 6 to <18 years) were obtained from the DPV (German Diabetes Prospective Follow-up) Registry. Poisson regression was used to estimate incidences for 2020 and 2021 based on data from 2011 to 2019, and these were compared with observed incidences in 2020 and 2021 by estimating incidence rate ratios (IRRs) with 95% CIs.

RESULTS

Incidence of youth-onset T2D increased from 0.75 per 100,000 patient-years (PYs) in 2011 (95% CI 0.58, 0.93) to 1.25 per 100,000 PYs in 2019 (95% CI 1.02, 1.48), an annual increase of 6.8% (95% CI 4.1, 9.6). In 2020, T2D incidence increased to 1.49 per 100,000 PYs (95% CI 1.23, 1.81), which was not significantly higher than predicted (IRR 1.15; 95% CI 0.90, 1.48). In 2021, the observed incidence was significantly higher than expected (1.95; 95% CI 1.65, 2.31 vs. 1.38; 95% CI 1.13, 1.69 per 100,000 PYs; IRR 1.41; 95% CI 1.12, 1.77). Although there was no significant increase in incidence in girls in 2021, the observed incidence in boys (2.16; 95% CI 1.73, 2.70 per 100,000 PYs) significantly exceeded the predicted rate (IRR 1.55; 95% CI 1.14, 2.12), leading to a reversal of the sex ratio of pediatric T2D incidence.

CONCLUSIONS

In Germany, incidence of pediatric T2D increased significantly in 2021. Adolescent boys were more affected by this increase, resulting in a reversal of the sex ratio of youth-onset T2D.