Clinical characteristics of hospitalized and home isolated COVID-19 patients with type 1 diabetes

Genetic association between celiac disease and chronic kidney disease: a two-sample Mendelian randomization study

OBJECTIVE

A two-sample Mendelian randomization (MR) analysis was performed to elucidate the causal impact of celiac disease on the risk of chronic kidney disease (CKD).

METHODS

The study comprised data from three genome-wide association studies involving individuals of European ancestry. The study groups included participants with celiac disease (n = 24,269), CKD (n = 117,165), and estimated glomerular filtration rate levels based on serum creatinine (eGFRcrea, n = 133,413). We employed four widely recognized causal inference algorithms: MR-Egger, inverse variance weighted (IVW), weighted median, and weighted mode. To address potential issues related to pleiotropy and overall effects, MR-Egger regression and the MR-PRESSO global test were performed. Heterogeneity was assessed using Cochran's Q test.

RESULTS

We identified 14 genetic variants with genome-wide significance. The MR analysis provided consistent evidence across the various methodologies, supporting a causal relationship between celiac disease and an elevated risk of CKD (odds ratio (OR)IVW = 1.027, p = 0.025; ORweighted median = 1.028, P = 0.049; ORweighted mode = 1.030, p = 0.044). Furthermore, we observed a causal link between celiac disease and a decreased eGFRcrea (ORIVW = 0.997, P = 2.94E-06; ORweighted median = 0.996, P = 1.68E-05; ORweighted mode = 0.996, P = 3.11E-04; ORMR Egger = 0.996, P = 5.00E-03). We found no significant evidence of horizontal pleiotropy, heterogeneity, or bias based on MR-Egger regression, MR-PRESSO, and Cochran's Q test.

CONCLUSION

The results of this study indicate a causal relationship between celiac disease and an increased risk of CKD.

Assessment of clinical impact of SARS-CoV-2 in people with type 1 diabetes: A cohort study

OBJECTIVES

During the coronavirus 2019 pandemic, there had been more than 758 million COVID-19 cases as of February 13, 2023, and it is the main cause of death in many countries. Due to the variation in disease presentation, scientists determined that people living with type 2 diabetes mellitus were at higher risk of mortality. However, people living with type 1 diabetes have not been thoroughly studied, especially in extreme regions of developing countries. The objective of this study was to analyze the effects of SARS-CoV-2 pandemic restrictions on different variables in a cohort with type 1 diabetes.

METHODS

This cohort-type study included pediatric and adult patients with type 1 diabetes at Regional Hospital Dr. Juan Noé Crevani in Arica, Chile. Biosocial and anthropometric factors, clinical history, self-care activities, and biochemical parameters were assessed and compared using analysis of variance and paired t tests between March 2020 and March 2021.

RESULTS

A total of 150 patients were assessed during the SARS-CoV-2 pandemic in Arica, Chile. One year after the pandemic struck, the main causes for metabolic deterioration were a reduction of carbohydrate counting by an average of 8.67% (P = 0.000), a reduction of adherence to treatment by an average of 25% (P = 0.000), and a shift to telemedicine as a main health care service (P = 0.023); these factors raised hemoglobin A1c (HbA1c) levels by 1.81%, 1.78% and 0.075%, respectively. The participants' average body mass index (BMI) increased by 1.26 kg/m2 and HbA1c levels increased by 0.16% during the first year of the pandemic. Also, hospitalizations increased about 2% (P = 0.984), and there was a significant increase in carbohydrate and snack intake (P = 0.330 and P = 0.811, respectively). Children's linear growth decreased by a standard deviation of 0.035 (P = 0.648), and their physical activity decreased by 12.67% (P = 0.383).

CONCLUSIONS

This study found that adherence to diabetes care was reduced during the pandemic owing to a variety of behavioral reasons and environmental changes (e.g., quarantines and food security). This affected this population's HbA1c levels, BMI, linear growth, and number of hospitalizations as main consequences. Telemedicine remains an important tool, but it must be reconsidered among all different age groups.

Celiac disease and COVID-19 in adults: A systematic review

BACKGROUND

Celiac disease (CD) is an autoimmune disease affecting around 1.4% of the total human population. Local and systemic manifestations are described in CD. Viral infections seem to trigger CD or even have a worse outcome in CD patients. The evidence on the relationship between CD and coronavirus disease (COVID-19) is limited. To evaluate existing evidence on the association between CD and COVID-19, we conducted the current systematic review.

METHODS

We systematically searched Pubmed, Scopus, and Embase databases to find articles that reported risks or outcomes of COVID-19 in CD patients. Papers in any language published up to November 17, 2022, were evaluated for possible inclusion. The results were analyzed qualitatively. This study is registered with PROSPERO(CRD42022327380).

RESULTS

We identified 509 studies by searching databases; 14 reported data on the risk or outcome of COVID-19 in CD patients and were eligible for qualitative synthesis. We found that the relative risk of acquiring COVID-19 in CD patients may be lower than in the general population. Approximately 90% of infected patients were treated as an outpatient, and 10% were hospitalized. GFD adherence and Health-related quality of life (HR-QOL) were more or less the same before and during the pandemic. The gluten-free products (GFP) supply seems to be plunged during the pandemic. The data on the psychological effects of the pandemic were conflicting.

CONCLUSION

The risk of acquiring COVID-19 in CD patients is lower than in the general population. Females were more likely to be infected by COVID-19, and the most common comorbidity in infected patients was a chronic lower respiratory disease; around 10% of infected patients needed hospitalization, GFD adherence, and HR-QOL was more or less the same before and during the pandemic, depression, anxiety, and stress levels of patients varied among studies. Patients had more difficulties accessing GFPs based on limited data.

Prognosis of COVID-19 in the middle eastern population, knowns and unknowns

Since its emergence in China in 2019, the SARS-CoV-2 virus has affected all countries worldwide. The virus is easily transmitted from one person to another via infected aerosols or contaminated surfaces. Unlike its counterparts, the prognosis of COVID-19 ranges from asymptomatic to critical disease or death. Several factors play a role in determining the severity of the disease in infected patients. Among others, is the pre-existence of an underlying medical condition such as diabetes, cancer, and others. Furthermore, although children are less prone to the severe form of the COVID-19 disease, they require attention due to the report of many atypical presentations of the infection, post-asymptomatic exposure. In the Middle East, little is known about the prognosis of the SARS-CoV-2 infection in high-risk categories, notably patients with diabetes, cancer, and pregnant women. The aim of this review is to summarize the current knowledge about this group of population in the middle eastern region as well as to highlight the gap in the literature. We have found that the majority of the papers were from the Gulf countries. Although, few studies were conducted; high-risk patients appear to have an increased risk of morbidity and mortality from COVID-19 compared to their counterparts. Higher levels of inflammatory markers, C-reactive protein, erythrocyte sedimentation rate, D-dimer, and ferritin levels were also observed. Children are often asymptomatic or present with atypical presentations. More studies should be conducted to determine the clinical biomarkers of COVID-19 in high-risk categories to help in patient risk stratification and management in the middle eastern population.

Diabetic ketoacidosis mimicking COVID-19 in an adolescent

Diabetic ketoacidosis (DKA) may be associated with nonspecific symptoms such as dyspnea, tachycardia, anorexia, and vomiting that are similar to COVID-19. We describe an adolescent who was referred to the emergency department with the above symptoms and died after being discharged, regardless of the differential diagnosis and laboratory findings.

Thyroid diseases are associated with coronavirus disease 2019 infection

BACKGROUND

In 2019, there was a global outbreak of new coronary pneumonia. Studies have found that the severity of patients with new coronary pneumonia may be related to their comorbidities. This article discusses the impact of thyroid disease on the severity of new coronary pneumonia through a meta-analysis and provides new treatment ideas for the later treatment and recovery of new coronary pneumonia.

METHODS

Databases including PubMed, Embase, Cochrane Library, SINOMED, China national knowledge infrastructure (CNKI), and Wanfang for coronavirus disease 2019 (COVID-19) infection and thyroid diseases were searched. Reference lists of all eligible articles and related previous review articles were handsearched. Fifty-three articles were included to conduct the meta-analysis.

RESULTS

Fifty-three articles with 12,022 COVID-19 infection patients were included in this meta-analysis. The proportion of patients with thyroid diseases in all COVID-19 infection patients fluctuates between 0% and 88.46%. Of the 53 included studies, 22 studies reported the severity of COVID-19 infection and grouped. The fixed-effects model was used to merge odds ratio (OR) values, and the pooled effect size in favor of non-severe patients is 2.62 (95% CI = 1.96-3.49, P < 0.0001), which means that patients with severe COVID-19 infection are more likely to have thyroid diseases. The analysis subgrouped into Asia and Europe shows that patients with COVID-19 severe infection in Asia are 3.77 times more likely to have thyroid diseases than non-severe patients (fixed-effects model: OR = 3.77, 95% CI = 2.66-5.35, P < 0.00001). No significant statistical heterogeneity was found by the heterogeneity analysis (chi-square = 19.85, P = 0.34, I ² = 9%). Severe COVID-19 infection patients are more likely to be complicated by hypothyroidism and low T3 syndrome. The pooled ORs with fixed-effects model are 3.72 (95% CI = 1.62-8.58, P = 0.002) and 5.86 (95% CI = 2.79-12.33, P < 0.00001), respectively.

CONCLUSION

COVID-19 infection patients with thyroid diseases are very common, and severe patients are more likely to have thyroid diseases. Asian COVID-19 infection, hypothyroidism patients, and patients with low T3 syndrome are more likely to progress to severe condition.

SYSTEMATIC REVIEW REGISTRATION

https://inplasy.com, identifier INPLASY202190079.

The underlying mechanisms for severe COVID-19 progression in people with diabetes mellitus: a critical review

Diabetes mellitus (DM) has a high incidence of comorbidities among patients with severe coronavirus disease 2019 (COVID-19). The elevated prevalence of DM in the world population makes it a significant risk factor because diabetic individuals appear to be prone to clinical complications and have increased mortality rates. Here, we review the possible underlying mechanisms involved in DM that led to worse outcomes in COVID-19. The impacts of hyperglycemia side effects, secondary comorbidities, weakened innate and adaptive immunity, chronic inflammation, and poor nutritional status, commonly present in DM, are discussed. The role of the SARS-CoV-2 receptor and its polymorphic variations on higher binding affinity to facilitate viral uptake in people with DM were also considered. Clinical differences between individuals with type 1 DM and type 2 DM affected by COVID-19 and the potential diabetogenic effect of SARS-CoV-2 infection were addressed.

Changes in the presentation of newly diagnosed type 1 diabetes in children during the COVID-19 pandemic in a tertiary center in Southern Turkey

OBJECTIVES

The COVID-19 pandemic is a global health problem with high morbidity and mortality. This study aimed to investigate patients who were diagnosed with type 1 diabetes during the pandemic and evaluate the effect of the pandemic on the clinical findings of these patients by comparing them with findings from a year prior.

METHODS

Patients diagnosed with type 1 diabetes mellitus between 2019 and 2021 were separated into two groups: Patients diagnosed prepandemic and those diagnosed during the pandemic.

RESULTS

The number of newly diagnosed diabetes cases increased from 46 in the prepandemic period to 74 in the pandemic period. The number of cases diagnosed with diabetic ketoacidosis (DKA) in the clinic increased from 58.7 to 91.9%. We found that moderate and severe DKA rates from 18.5 and 14.8% to 23.5 and 22.1%, respectively. Besides, the average HbA1c was higher, while the average bicarbonate was lower in cases diagnosed during the pandemic period compared to the prepandemic period (p=0.048 and p<0.001, respectively). We found that celiac autoantibody positivity antibodies to glutamic acid decarboxylase (anti GAD) positivity, and islet cell antibodies (ICA), ICA and anti GAD positivity coexistence were higher (p=0.045, p=0.008, and p=0.007, respectively) among the patients diagnosed during the pandemic.

CONCLUSIONS

We observed an increase in the number of patients newly diagnosed with type 1 diabetes mellitus, an increase in autoantibody positivity, and higher rates and severity of DKA during the COVID-19 pandemic period compared to the prepandemic period.

Diabetes-related acute metabolic emergencies in COVID-19 patients: a systematic review and meta-analysis

AIMS

COVID-19 is associated with diabetic ketoacidosis (DKA), hyperglycaemic hyperosmolar state (HHS) and euglycaemic DKA (EDKA); however, evidence regarding parameters affecting outcome and mortality rates is scarce.

METHODS

A systematic literature review was conducted using EMBASE, PubMed/Medline, and Google Scholar from January 2020 to 7 January 2021 to identify all studies describing clinical profile, outcome and mortality rates regarding DKA, HHS, DKA/HHS and EDKA cases in COVID-19 patients. The appropriate Joanna Briggs Institute tools were used for quality assessment; quality of evidence was approached using GRADE. Univariate and multivariate analyses were used to assess correlations between clinical characteristics and outcome based on case reports. Combined mortality rates (CMR) were estimated from data reported in case report series, cross-sectional studies, and meta-analyses. The protocol was submitted to PROSPERO (ID: 229356/230737).

RESULTS

From 312 identified publications, 44 were qualitatively and quantitatively analyzed. Critical COVID-19 necessitating ICU (P = 3 × 10-8), DKA/HHS presence (P = 0.021), and AKI (P = 0.037) were independently correlated with death. Increased COVID-19 severity (P = 0.003), elevated lactates (P < 0.001), augmented anion gap (P < 0.001), and AKI (P = 0.002) were associated with DKA/HHS. SGLT-2i were linked with EDKA (P = 0.004) and negatively associated with AKI (P = 0.023). CMR was 27.1% (95% CI 11.2-46.9%) with considerable heterogeneity (I 2 = 67%).

CONCLUSION

Acute diabetes-related metabolic emergencies in COVID-19 patients lead to increased mortality; key determinants are critical COVID-19 illness, coexistence of DKA/HHS and AKI. Previous SGLT-2i treatment, though associated with EDKA, might preserve renal function in COVID-19 patients.

SUPPLEMENTARY INFORMATION

The online version contains supplementary material available at 10.1007/s13340-021-00502-9.

COVID-19 among people with diabetes mellitus in Saudi Arabia: Current situation and new perspectives

BACKGROUND AND AIM

This review aims to report the current status of COVID-19 among people with diabetes, newly diagnosed diabetes, diabetic ketoacidosis, and programmatic efforts including vaccinations.

METHODS

We conducted a literature search using PubMed, Google, and Scopus until July 15, 2021.

RESULTS

In Saudi Arabia, most studies have reported diabetes as one of the highly prevalent comorbidities among patients with COVID-19. Currently, there are limited studies from Saudi Arabia on the newly diagnosed diabetes and diabetic ketoacidosis caused by COVID-19. The Saudi ministry has taken several measures to control the impact of COVID-19 among people with diabetes, including comprehensive guidelines and prioritized vaccinations. During the COVID-19 pandemic, the use of telehealth services dramatically increased in diabetes clinics in Saudi Arabia.

CONCLUSIONS

Focused and evidence-based interventions are essential to control the impact of COVID-19 among people with diabetes.

COVID-19-related thyroid conditions (Review)

In patients who were not previously diagnosed with any thyroid conditions, the scenario of COVID-19-related anomalies of the hypothalamus-pituitary-thyroid axes may include either: A process of central thyroid stimulating hormone (TSH) disturbances via virus-related hypophysitis; an atypical type of subacute thyroiditis which is connected to the virus spread or to excessive cytokine production including a destructive process with irreversible damage of the gland or low T3 (triiodothyronine) syndrome (so called non-thyroid illness syndrome) which is not specifically related to the COVID-19 infection, but which is associated with a very severe illness status. Our objective here was to briefly review thyroid changes due to the COVID-19 infection. Ongoing assessment of the effects of the COVID-19 pandemic will reveal more information on coronavirus-induced thyroid conditions. Routine thyroid assays performed in patients with severe infection/at acute phase of COVID-19 are encouraged in order to detect thyrotoxicosis. After recovery, thyroid function should be assessed to identify potential hypothyroidism. There remain unanswered questions related to the prognostic value of interleukin-6 in infected patients, especially in cases with cytokine storm, and the necessity of thyroid hormone replacement in subjects with hypophysitis-related central hypothyroidism.

Frequency of Diabetic Ketoacidosis in Patients with Type 1 Diabetes Using FreeStyle Libre: A Retrospective Chart Review

INTRODUCTION

Diabetic ketoacidosis (DKA) is an acute complication associated with poorly managed or undiagnosed diabetes. DKA is associated with significant morbidity, mortality, and healthcare costs, but can be prevented with appropriate management of diabetes. The FreeStyle Libre is flash glucose monitoring device that measures glucose levels in the interstitial subcutaneous tissue and has been shown to reduce HbA1c, time in hypoglycemia and hyperglycemia, as well as improve health-related quality of life.

METHODS

A retrospective chart review of patients with type 1 diabetes mellitus (T1DM) and recurrent DKA and who initiated FreeStyle Libre (Abbott Diabetes Care, Alameda, CA, USA) was conducted. DKA frequency and severity, glycated hemoglobin (HbA1c), and frequency of blood glucose monitoring were compared between the 2-year period before FreeStyle Libre initiation and the 2-year period after FreeStyle Libre initiation.

RESULTS

A total of 47 patients with T1DM with recurrent DKA were included. FreeStyle Libre was associated with a reduction in the frequency of DKA events, with a mean of 0.2 (standard deviation [SD] 0.4) events per person during the 2 years after FreeStyle Libre initiation versus 2.9 (SD 0.9) during the 2 years before FreeStyle Libre initiation. Severity of DKA events was also reduced, with fewer severe (before mean 0.3 [SD 0.5] versus after 0.0 [SD 0.0]; p < 0.001) DKA events. A reduction in HbA1c (mean 7.4% [SD 0.5] after versus 9.9% [SD 1.2] before [p < 0.001]) and an increase in frequency of blood glucose testing (mean 8.1 scans/day [SD 1.7] after versus 2.2 finger-pricks/day [SD 0.7] at before [p < 0.001]) were also observed.

CONCLUSION

FreeStyle Libre is associated with a reduction in the frequency and severity of DKA events, reduction in HbA1c, and increase in frequency of blood glucose testing in patients with T1DM and recurrent DKA. The use of such a glucose monitoring tool can help to reduce the burden of morbidity, mortality, and healthcare costs associated with complications of diabetes.

Clinical Features of Patients with Home Isolation Sars-Cov-2 Infection: A Multicenter Retrospective Study in Southern Italy

To describe epidemiological and clinical features of patients confirmed as having SARS-CoV-2 infection and managed in isolation at home. We performed a multicenter retrospective study enrolling all SARS-CoV-2-positive adults evaluated from 28 February to 31 May 2020 at one of nine COVID-19 Units in southern Italy: we included patients receiving care at home and those admitted to hospital. We defined patients with not-severe disease if they were asymptomatic or experienced a mild infection that did not need oxygen (O₂) therapy and those with a severe infection if hospitalized and required O₂ therapy. We enrolled 415 patients with SARS-CoV-2 infection: 77 were managed in isolation at home, 338 required hospital management. The 77 patients in home isolation were less frequently male than hospitalized patients (55% vs. 64%; <0.01) and were younger (median age 45 years (IQR:19) vs. 62 (IQR 22); p < 0.01), had a lower Charlson comorbidity index (median 0 (IQR2) vs. 6 (IQR 3); p < 0.01), and included fewer subjects with an underlying chronic disease (36% vs. 59%; p < 0.01). According to a binomial logistic regression analysis, a younger age (OR: 0.96 (95% IC: 0.94–0.98), p < 0.01) and a low Charlson comorbidity index (OR: 0.66 (95% IC: 0.54–0.83); p < 0.01) were independent factors associated with at-home management. The identification of subjects with SARS-CoV-2 infection who could be managed in home isolation is useful in clinical practice. A younger age and no comorbidities were identified as factors independently associated with home management.

Coronavirus disease 2019 and type 1 diabetes mellitus

PURPOSE OF REVIEW

Type 2 diabetes (T2DM) is a major comorbidity of coronavirus disease 2019 (COVID-19) but less is known about COVID-19 and type 1 diabetes (T1DM). Thus, our goal was to review the literature on COVID and T1DM.

RECENT FINDINGS

We identified 21 reports focusing on COVID-19 infections among patients with preexisting T1DM (n = 7), incident T1DM presentations during the COVID-19 quarantine (n = 6), and outpatient management of T1DM during the COVID-19 quarantine (n = 8). These studies showed that patients with preexisting T1DM and COVID-19 infection often present with hyperglycemia and/or diabetic ketoacidosis (DKA). Although the risk of in-hospital mortality may be increased, hospitalization rates among patients with T1DM mirror that of the general population. The numbers of patients presenting with incident T1DM during COVID-19 quarantine have remained stable, but cases with severe DKA may have increased. COVID-19 quarantine has also impacted outpatient T1DM management and studies examining changes in glycemic control have shown mixed results.

SUMMARY

COVID-19 has important implications for patients with type 1 diabetes, but additional studies with larger numbers of patients and longer term follow-up are needed to confirm the early findings highlighted in this review.

The association between COVID-19 and type 1 diabetes mellitus: A systematic review

BACKGROUND

/Aim: Various reports of the occurrence of type 1 diabetes mellitus (T1DM) in patients with COVID-19 have been published, denoting an association between both diseases. Therefore, we conducted this systematic review to summarize the prevalence of T1DM in COVID-19 patients and to identify the clinical presentations and outcomes in this patient population.

MATERIALS AND METHODS

Up to 10/27/2020, Medline, Embase, cochrane and google scholar databases were searched for original studies investigating the association between COVID-19 and T1DM. A manual search was conducted to identify missing studies. The quality of included studies was analyzed by the National Institute of Health (NIH) risk of bias tool. Outcomes included length of hospital stay, hospitalization, intensive care unit (ICU) admission, diabetic ketoacidosis (DKA), severe hypoglycemia, and death.

RESULTS

Fifteen studies were included in the qualitative analysis. Included studies reported data of both adult and pediatric patients. The prevalence of T1DM in COVID-19 patients ranged from 0.15% to 28.98%, while the rate of COVID-19 in patients with T1DM ranged from 0% to 16.67%. Dry cough, nausea, vomiting, fever and elevated blood glucose levels were the most commonly reported presentations. The investigated outcomes varied widely among studied populations.

CONCLUSIONS

The prevalence of T1DM in patients with COVID-19 ranged from 0.15% to 28.98%. The most common presentation of COVID-19 in patients with T1DM included fever, dry cough, nausea and vomiting, elevated blood glucose and diabetic ketoacidosis. The outcomes of COVID-19 in terms of length of hospital stay, hospitalization, ICU admission, DKA rate, and severe hypoglycemia were reported variably in included studies. Due to the heterogeneous study populations and the presence of many limitations, more studies are still warranted to reach a definitive conclusion.

COVID-19 in People with Diabetes: Perspectives from Saudi Arabia

Coronavirus disease 2019 (COVID-19) and diabetes have major impacts on the health of the population across the world. Since the beginning of the COVID-19 pandemic, people with diabetes have been identified to be more vulnerable to infection and at greater risk for hospitalization. As diabetes is one of the major health issues in Saudi Arabia, the current study describes the perspectives of COVID-19 in people with diabetes and the steps taken by the government to minimize its impact. Most patients with COVID-19 in Saudi Arabia experience mild illness, while people with diabetes are at increased risk of disease severity and mortality. The government of Saudi Arabia has taken several measures to control and mitigate the effect of the pandemic, as the Saudi population is gradually returning back to normal life. However, currently, there are limited studies from Saudi Arabia on COVID-19 among people with diabetes and the effectiveness of interventions. We emphasize the necessity for comprehensive research, which would provide a better understanding of the incidence of COVID-19 and its association with diabetes to develop evidence- based programs and policies in the country.