Binding of SARS coronavirus to its receptor damages islets and causes acute diabetes

Changing Spectrum of Invasive Fungal Infections of the Anterior Skull Base

Objective  To study the etiological and anatomical factors in pathophysiology of invasive fungal rhinosinusitis affecting the skull base. Design  Retrospective clinical study over 5 years. Setting  Single-center tertiary referral hospital. Materials and Methods  All cases of invasive fungal rhinosinusitis with clinicoradiological and/or operative evidence of anterior and central skull base, orbit, and orbital apex involvement with or without intracranial disease were included in the study. Patients with a sinonasal-palatal disease without the involvement of the skull base or orbit were excluded from the study. In addition, we assessed the risk factors such as coronavirus disease 2019 (COVID-19) infection, diabetes mellitus (DM), and other immunocompromised conditions. Results  There were 79 patients, of which 65.8% had skull base rhino-oribitocerebral mucormycosis (ROCM), and 34.2% had Aspergillus infection. The mean duration from onset of the symptom to presentation of ROCM was 36.75 ± 20.97 days, while for the Aspergillus group was 21 weeks. The majority of patients (66%) with ROCM presented after 30 days of symptom onset. Among ROCM patients, 88.7% had a history of COVID-19 infection, and 96% had DM. In 40.8% of patients with Aspergillus infection, the tissue diagnosis was unavailable, and galactomannan assay and clinicoradiological assessment were used for diagnosis. The most common area of the skull base involved was the pterygopalatine fossa (88.5%), followed by the infratemporal fossa (73.1%). The most common neurovascular structure (75%) involved was the pterygopalatine ganglion and the infraorbital nerve. Conclusion  With the increasing incidence of invasive fungal infections worldwide, particularly after the COVID-19 pandemic, it is crucial to understand the evolving nature of this disease. ROCM, documented in the literature to cause fulminant disease, became a chronic illness, possibly due to the improvement of the patient's immunity during the disease course.

Association Between COVID-19 and Diabetes Management Indices in Japanese Type 2 Diabetes Mellitus Patients: A Single-Center, Retrospective Study

Purpose

The aim of the study was to determine the association between coronavirus disease 2019 (COVID-19) infection and diabetes management indices in patients with type 2 diabetes mellitus.

Patients and Methods

A single-center, retrospective, observational study of patients with type 2 diabetes mellitus at Kenwakai Hospital (Nagano, Japan) was conducted. Data of 95 patients (mean age, 72 ± 12 years; men, 67.4%) who visited between March 1, 2019 and February 28, 2022 were obtained from the hospital's electronic information system. COVID-19 was diagnosed by a chemiluminescent enzyme immunoassay (CLEIA).

Results

There was no association between COVID-19 infection and age, sex, hemodialysis treatment status, or the Charlson Comorbidity Index. After adjustment for possible confounding factors, the incidence of COVID-19 infection was significantly correlated with HbA1c ≥7.0% (odds ratio [OR], 5.51; 95% confidence interval [CI], 1.30-23.26).

Conclusion

The results suggest an association between high HbA1c levels and COVID-19 infection in patients with type 2 diabetes mellitus. Appropriate management of diabetes mellitus, focusing on HbA1c levels, may help prevent COVID-19 infection and severe disease after infection.

Association of COVID-19 infection and the risk of new incident diabetes: a systematic review and meta-analysis

Background

As the world population recovers from the COVID-19 infection, a series of acute sequelae emerge including new incident diabetes. However, the association between COVID-19 infection and new incident diabetes is not fully understood. We purpose to determine the risk of new incident diabetes after COVID-19 infection.

Methods

PubMed, Embase, and Cochrane Library were used as databases to search for cohort studies published from database inception to February 4, 2024. Two reviewers independently conducted the study screening, data extraction, and risk of bias assessment. A random-effects model was adopted to pool the hazard ratio (HR) with corresponding 95% confidence intervals (CI). Subgroup analysis was conducted to explore the potential influencing factors.

Results

A total of 20 cohort studies with over 60 million individuals were included. The pooling analysis illustrates the association between COVID-19 infection and an increased risk of new incident diabetes (HR = 1.46; 95% CI: 1.38-1.55). In subgroup analysis, the risk of type 1 diabetes was HR=1.44 (95% CI: 1.13-1.82), and type 2 diabetes was HR=1.47 (95% CI: 1.36-1.59). A slightly higher risk of diabetes was found in males (HR=1.37; 95% CI: 1.30-1.45) than in females (HR=1.29; 95% CI: 1.22-1.365). The risk of incident diabetes is associated with hospitalization: non-hospitalized patients have an HR of 1.16 (95% CI: 1.07-1.26), normal hospitalized patients have an HR of 2.15 (95% CI: 1.33-3.49), and patients receiving intensive care have the highest HR of 2.88 (95% CI: 1.73-4.79).

Conclusions

COVID-19 infection is associated with an elevated risk of new incident diabetes. Patients ever infected with COVID-19 should be recognized as a high-risk population with diabetes.

Systematic review registration

https://www.crd.york.ac.uk/prospero, identifier CRD42024522050.

Cross-relationship between COVID-19 infection and anti-obesity products efficacy and incidence of side effects: A cross-sectional study

BACKGROUND

Obesity and COVID-19 are at the top of nowadays health concerns with significant crosstalk between each other. The COVID-19 pandemic negatively affected healthy lifestyles and increased obesity prevalence. Thus, there was a surge in anti-obesity products (AOPs) intake. Herein, we evaluated how the pandemic has affected slimming products' efficacy and safety in patients seeking weight reduction at an urban, weight management centre in Alexandria, Egypt. In addition, the effect of AOPs on COVID-19 infection severity was also appraised to detect whether AOPs can alter COVID-19 host cell entry and infective mechanisms, and thus, affect infection severity.

METHODS

Patients were invited to complete an anonymous survey. The survey assessed self-reported changes in weight, the use of AOPs during the COVID-19 pandemic, COVID-19 infection severity, AOPs efficacy, and incidence of side effects. Inclusion criteria were obese patients above 18 years old who got infected by COVID-19 while receiving a single-ingredient AOP.

RESULTS

A total of 462 participants completed our anonymous validated questionnaire. Most of the participants were females (450; 98.4%) with BMI ranging from 24.98-58.46. Eligible participants were only 234 and the top-administered products were orlistat, liraglutide, metformin, green tea, cinnamon, Garcinia cambogia, and Gymnema Sylvestre. In most cases, AOPs intake was beneficial for COVID-19 infection, and most patients experienced mild-to-moderate COVID-19 symptoms. On the other hand, SARS-CoV-2 significantly interferes with AOPs' mechanisms of action which positively or negatively influences their efficacy and side effects incidence due to predictable pharmacological link.

CONCLUSION

Concurrent AOPs intake with COVID-19 infection is a two-sided weapon; AOPs attenuate COVID-19 infection, while SARS-CoV-2 interferes with efficacy and side effects incidence of AOPs.

Severe COVID-19 infection: An institutional review and literature overview

BACKGROUND

Our study aimed to describe the group of severe COVID-19 patients at an institutional level, and determine factors associated with different outcomes.

METHODS

A retrospective chart review of patients admitted with severe acute hypoxic respiratory failure due to COVID-19 infection. Based on outcomes, we categorized 3 groups of severe COVID-19: (1) Favorable outcome: progressive care unit admission and discharge (2) Intermediate outcome: ICU care (3) Poor outcome: in-hospital mortality.

RESULTS

Eighty-nine patients met our inclusion criteria; 42.7% were female. The average age was 59.7 (standard deviation (SD):13.7). Most of the population were Caucasian (95.5%) and non-Hispanic (91.0%). Age, sex, race, and ethnicity were similar between outcome groups. Medicare and Medicaid patients accounted for 62.9%. The average BMI was 33.5 (SD:8.2). Moderate comorbidity was observed, with an average Charlson Comorbidity index (CCI) of 3.8 (SD:2.6). There were no differences in the average CCI between groups(p = 0.291). Many patients (67.4%) had hypertension, diabetes (42.7%) and chronic lung disease (32.6%). A statistical difference was found when chronic lung disease was evaluated; p = 0.002. The prevalence of chronic lung disease was 19.6%, 27.8%, and 40% in the favorable, intermediate, and poor outcome groups, respectively. Smoking history was associated with poor outcomes (p = 0.04). Only 7.9% were fully vaccinated. Almost half (46.1%) were intubated and mechanically ventilated. Patients spent an average of 12.1 days ventilated (SD:8.5), with an average of 6.0 days from admission to ventilation (SD:5.1). The intermediate group had a shorter average interval from admission to ventilator (77.2 hours, SD:67.6), than the poor group (212.8 hours, SD:126.8); (p = 0.001). The presence of bacterial pneumonia was greatest in the intermediate group (72.2%), compared to the favorable group (17.4%), and the poor group (56%); this was significant (p<0.0001). In-hospital mortality was seen in 28.1%.

CONCLUSION

Most patients were male, obese, had moderate-level comorbidity, a history of tobacco abuse, and government-funded insurance. Nearly 50% required mechanical ventilation, and about 28% died during hospitalization. Bacterial pneumonia was most prevalent in intubated groups. Patients who were intubated with a good outcome were intubated earlier during their hospital course, with an average difference of 135.6 hours. A history of cigarette smoking and chronic lung disease were associated with poor outcomes.

The Silent Syndrome of Long COVID and Gaps in Scientific Knowledge: A Narrative Review

COVID-19 is still a major public health concern, mainly due to the persistence of symptoms or the appearance of new symptoms. To date, more than 200 symptoms of long COVID (LC) have been described. The present review describes and maps its relevant clinical characteristics, pathophysiology, epidemiology, and genetic and nongenetic risk factors. Given the currently available evidence on LC, we demonstrate that there are still gaps and controversies in the diagnosis, pathophysiology, epidemiology, and detection of prognostic and predictive factors, as well as the role of the viral strain and vaccination.

Long-term outcome of patients with diabetic-range hyperglycemia first detected during admission for COVID-19: A single-center observational study

Background and Objective

Diabetic-range hyperglycemia has been reported for the first time in many patients during their hospitalization with coronavirus disease 2019 (COVID-19). This study was undertaken to determine the proportion of such patients who actually have new-onset diabetes mellitus rather than transient hyperglycemia during acute illness.

Methods

This descriptive study included patients with diabetic-range hyperglycemia first detected at or during admission for COVID-19 but no prior history of diabetes. The study protocol involved patient identification, data recording from the case-notes, and telephonic follow-ups. Blood sugar levels done at least two weeks after discharge or the last dose of steroids, whichever was later, were recorded, and patients were categorized as diabetic, pre-diabetic, or non-diabetic accordingly.

Results

Out of 86 patients, ten (11.6%) were found to have developed diabetes, and 13 (15.1%) had pre-diabetes on follow-up. About 63 (73.3%) patients had become normoglycemic. Eight (80%) out of the ten patients with new-onset diabetes were on treatment, with five (50%) achieving the target glycemic levels. The associations of new-onset diabetes with age, gender, comorbidities, intensive care stay, and steroid administration were not found to be statistically significant (p-values 0.809, 0.435, 0.324, 0.402, and 0.289, respectively).

Interpretation and Conclusions

While a majority of post-COVID patients with diabetic-range hyperglycemia returned to a normoglycemic state after the acute illness had settled down, one in ten developed new-onset diabetes, and an additional one in seven had impaired glucose tolerance. Thus, regular glucose screening is crucial for such patients and lifestyle modifications should be encouraged to reduce the risk of diabetes. Loss to follow-up and reliance on a single set of blood sugar readings for classification were some of the limitations of this study.

New-onset diabetes in children during the COVID-19 Pandemic: an assessment of biomarkers and psychosocial risk factors at play in Mississippi

PURPOSE

The coronavirus disease 2019 (COVID-19) pandemic has led to an association between COVID-19 and pediatric diabetes. Studies have indicated the increased likelihood of children with COVID-19 infection developing diabetes. Our objective was to assess not only the increase in pediatric diabetes at our hospital and identify possible risk factors, but also to correlate the psychosocial changes resulting from the pandemic with new-onset diabetes.

METHODS

We analyzed data from 58 children aged 1 to 18 years admitted to our hospital with new-onset diabetes between March 2020 and December 2021. The data included inflammatory biomarkers and severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) antibodies (Abs), as well as the results of a lifestyle questionnaire.

RESULTS

The average number of hospital admissions per month for new-onset diabetes increased from 10 to 18 with the start of the pandemic. Of the 58 children in our analysis, 33% had positive SARS-CoV-2 IgG Ab, 31% had type 1 diabetes mellitus, and 62% had type 2 diabetes mellitus (T2DM). More than half (54%) were experiencing diabetic ketoacidosis. Those with T2DM were older, majority African American, had higher median body mass index (BMI) percentiles, and lower vitamin D levels. There were no significant correlations between any psychosocial risk factors and either diabetes type or SARS-CoV2 Ab status.

CONCLUSION

Despite the increased incidence of new-onset diabetes among children in Mississippi during the pandemic, this study was unable to demonstrate a significant correlation between COVID-19 infection and new-onset diabetes. The findings of this study highlighted the correlation between increased BMI and type 2 diabetes, underscoring the significant problems of obesity and diabetes in our study region. Further research is warranted.

SARS-CoV-2 Infection Positively Correlates with Hyperglycemia and Inflammatory Markers in COVID-19 Patients: A Clinical Research Study

Diabetes mellitus (DM) is a common comorbidity in COVID-19 subjects. Hyperglycemia at hospital admission identified as a major risk factor and is responsible for poor prognosis. Hematological and inflammatory parameters have been recognized as predictive markers of severity in COVID-19. In this clinical study, we aimed to assess the impact of hyperglycemia at hospital admission on hematological and several inflammatory parameters in COVID-19 patients. A total of 550 COVID-19 subjects were primarily categorized into two major groups (normoglycemic and hyperglycemic) based on random blood sugar levels. On the first day of hospitalization, subjects' oxygen saturation, random blood sugar, hematological variables, and inflammatory parameters were recorded. The hyperglycemic group exhibited higher levels of serum ferritin, total leukocyte count (TLC), lactate dehydrogenase (LDH), neutrophil count, and neutrophil-to-lymphocyte ratio (NLR). In contrast, oxygen saturation and lymphocyte count were lower compared to the normoglycemic group. Significantly elevated levels of hematological variables (TLC, neutrophil count, NLR) and inflammatory parameters (serum ferritin) were observed in the hyperglycemic group. Among inflammatory parameters, only serum ferritin levels showed statistical significance. This study supports the clinical association between hyperglycemia and an increased severity of COVID-19. Consequently, the identification of these parameters is a crucial and valuable prognostic indicator for assessing disease severity in hyperglycemic subjects.

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.].

Virus-induced diabetes mellitus: revisiting infection etiology in light of SARS-CoV-2

Diabetes mellitus (DM) is comprised of two predominant subtypes: type 1 diabetes mellitus (T1DM), accounting for approximately 5 % of cases worldwide and resulting from autoimmune destruction of insulin-producing β-cells, and type 2 (T2DM), accounting for approximately 95 % of cases globally and characterized by the inability of pancreatic β-cells to meet the demand for insulin due to a relative β-cell deficit in the setting of peripheral insulin resistance. Both types of DM involve derangement of glucose metabolism and are metabolic diseases generally considered to be initiated by a combination of genetic and environmental factors. Viruses have been reported to play a role as infectious etiological factors in the initiation of both types of DM in predisposed individuals. Among the reported viral infections causing DM in humans, the most studied include coxsackie B virus, cytomegalovirus and hepatitis C virus. The recent COVID-19 pandemic has highlighted the diabetogenic potential of SARS-CoV-2, rekindling interest in the field of virus-induced diabetes (VID). This review discusses the reported mechanisms of viral-induced DM, addressing emerging concepts in VID, as well as highlighting areas where knowledge is lacking, and further investigation is warranted.

Manifestations of Mucormycosis and Its Complications in COVID-19 Patients: A Case Series Study

OBJECTIVE

Mucormycosis is an opportunistic fungal disease that affects immunocompromised patients. With the advent of SARS-CoV-2, this opportunistic disease has increased.

METHODS

A case series of 47 patients with COVID-19 associated mucormycosis have been analyzed. Demographic information, signs, symptoms, laboratory investigations, imaging studies, and their association with ICU admission and 30-day mortality were assessed.

RESULTS

Total number of 47 consecutive rhino-orbital cerebral mucormycosis (ROCM) cases were analyzed. Periorbital swelling was the most common sign among patients. Majority of cases had diabetes. All patients received liposomal Amphotericin B. Debridement was performed for all cases.

CONCLUSIONS

SARS-CoV-2 increases the susceptibility to mucormycosis infection in various ways. Uncontrolled level of HbA1c in all patients, even non-diabetic individuals, indicates hyperglycemia over the past three months. Diabetes, orbital exenteration, ptosis, periorbital swelling, DKA, LOC, brain involvement, and mechanical ventilation all correlated with a higher rate of ICU admission and 30-day mortality. In addition, a higher white blood cell count is related to the higher probability of ICU admission. While considering all of the inflammatory laboratory data and HbA1c could help predict 30-day mortality.

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.

Bibliometric and visual analysis of ACE2/Ang 1-7/MasR axis in diabetes and its microvascular complications from 2000 to 2023

Background

The pathogenesis of diabetes and its microvascular complications are intimately associated with renin angiotensin system dysregulation. Evidence suggests the angiotensin converting enzyme 2 (ACE2)/angiotensin 1-7 (Ang 1-7)/Mas receptor (MasR) axis regulates metabolic imbalances, inflammatory responses, reduces oxidative stress, and sustains microvascular integrity, thereby strengthening defences against diabetic conditions. This study aims to conduct a comprehensive analysis of the ACE2/Ang 1-7/MasR axis in diabetes and its microvascular complications over the past two decades, focusing on key contributors, research hotspots, and thematic trends.

Methods

This cross-sectional bibliometric analysis of 349 English-language publications was performed using HistCite, VOSviewer, CiteSpace, and Bibliometrix R for visualization and metric analysis. Primary analytical metrics included publication count and keyword trend dynamics.

Results

The United States, contributing 105 articles, emerged as the most productive country, with the University of Florida leading institutions with 18 publications. Benter IF was the most prolific author with 14 publications, and Clinical Science was the leading journal with 13 articles. A total of 151 of the 527 author's keywords with two or more occurrences clustered into four major clusters: diabetic microvascular pathogenesis, metabolic systems, type 2 diabetes, and coronavirus infections. Keywords such as "SARS", "ACE2", "coronavirus", "receptor" and "infection" displayed the strongest citation bursts. The thematic evolution in this field expanded from focusing on the renin angiotensin system (2002-2009) to incorporating ACE2 and diabetes metabolism (2010-2016). The latter period (2017-2023) witnessed a significant surge in diabetes research, reflecting the impact of COVID-19 and associated conditions such as diabetic retinopathy and cardiomyopathy.

Conclusions

This scientometric study offers a detailed analysis of the ACE2/Ang 1-7/MasR axis in diabetes and its microvascular complications, providing valuable insights for future research directions.

Impact of COVID-19 on pregnancy and fetal outcomes in women with multiple sclerosis

BACKGROUND

In the general population, maternal COVID-19 is associated with worse maternal and fetal outcomes. Two previous studies have assessed COVID-19 clinical outcomes in pregnant women with multiple sclerosis (MS), but there are no data about maternal and fetal outcomes.

OBJECTIVES

In this multicenter study, we aimed to assess maternal and fetal outcomes in pregnant women with MS and COVID-19 infection.

METHODS

We recruited pregnant patients with MS who contracted COVID-19 and were followed up in Italian and Turkish Centers, during 2020-2022. A control group was extracted from a previous Italian cohort. Associations between group (COVID-19 or healthy patients) and clinical outcomes (maternal complications, fetal malformations, and spontaneous abortion) were investigated with a weighted logistic regression where propensity score-based inverse probability of treatment weighting (IPTW) approach was applied for adjusting for difference in baseline confounders.

RESULTS

In the multivariable analysis, COVID-19 during pregnancy was associated with a higher risk of maternal complications (odd ratio (OR) = 2.12; 95% confidence interval (CI) = 1.32-3.48; p = 0.002), while it was not associated with higher risk of spontaneous abortion and fetal malformations.

CONCLUSION

Our data indicate that COVID-19 during pregnancy increases the risk of maternal complications, while it seems to have no significant impact on fetal outcomes.

The Relationship Between COVID-19 and the Development of Diabetic Ketoacidosis and New-Onset Type 1 Diabetes Mellitus

The COVID-19 pandemic with the outbreak of the severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) virus has been one of the largest topics of discussion in the medical world over the last few years. Most of the research has focused on the risks and correlation of chronic diseases and immunosuppression with the severity and mortality of the viral infection. Less research has occurred in the setting of post-infectious sequelae and the long-term effects of COVID-19 with the development of chronic conditions and diseases, such as new-onset type 1 diabetes mellitus. The incidence of diabetic ketoacidosis (DKA) has increased during the COVID-19 pandemic, but the relationship between the two conditions remains to be fully understood. We report the case of a 24-year-old male who presents with malaise, polyuria, polydipsia, headache, and fatigue and was eventually found to be in diabetic ketoacidosis (DKA). He had a history of COVID-19 infection 12 weeks prior to this presentation. He also had a family history of DKA and type 1 diabetes mellitus. This case highlights the need to perform an in-depth workup for each patient with DKA and new-onset diabetes mellitus in order to find a potential cause of the autoimmune condition.

Clinical and immunological characteristics of children diagnosed with-Type 1 diabetes during the COVID-19 pandemic

AIMS

To find clinical and immunological signatures of the SARS-CoV-2 and the COVID-19 pandemic on children newly diagnosed with type 1 diabetes (T1D).

METHODS

A single-centre, retrospective, observational study comparing the clinical and immunological characteristics of children diagnosed with T1D the year before and during the first 2 years of the COVID-19 pandemic. Data extracted from the medical records included clinical and demographic parameters, COVID-19 PCR results and the presence of anti-islet, thyroid and celiac-related antibodies. Also obtained from the medical records was a family history of T1D, celiac disease and autoimmune thyroid disease in a first-degree family member.

RESULTS

A total of 376 children were diagnosed with T1D during the study period. A total of 132 in the pre-COVID era and 246 in the first 2 years of the pandemic. At diagnosis, the pH in children with DKA was lower, and HbA1c tended to be higher in the COVID-19 group compared to the pre-COVID-19 group (7.30 [7.18, 7.35] vs 7.33 [7.19, 7.36], p = 0.046) and (110.9 [86.9, 129.5] vs 100 [80.3, 129.5], p = 0.067]) respectively. Multiple islet antibodies (IA) were significantly more common among patients in the pre-COVID-19 group compared to the COVID-19 group (72% vs 61%, p = 0.032). Tissue transglutaminase antibodies were more common among children diagnosed in the COVID-19 compared to the pre-COVID group (16.6% vs 7.9%, p = 0.022).

CONCLUSIONS

Our findings suggest that SARS-CoV-2 and the environmental alterations caused by the pandemic affected the clinical characteristics and the immunological profile of children diagnosed with T1D. It is, therefore, plausible that the virus plays a role in the autoimmune process causing T1D.

Clinical Characteristics and Analysis of Associated Risk Factors in Patients with Severe and Non-Severe COVID-19 Infection

Objective

Our aim was to highlight the clinical characteristics and determine the risk factors associated with severe and non-severe COVID-19 infection.

Study Method

A retrospective review was conducted on clinical data obtained from patients with COVID-19 infection, admitted to the emergency department between November 2022 and January 2023. Total of 1684 participants were categorized into severe (312 cases,18.53%) and non-severe (1,372 cases,81.47%) cohorts. Logistic regression was utilized for multivariate analysis, with a P-value less than 0.05 signifying a significant difference between the groups.

Results

The study consisted of 952 males (56.53%) and 732 females (43.47%) participants. The age distribution ranged from 18 to 93 years in both cohorts. There were statistically significant differences between the clinical symptoms of the severe and non-severe cohorts (P < 0.05). According to the multivariate statistical analysis, patients with more pronounced clinical manifestations had significantly elevated values related to age(P < 0.05), diabetes(P < 0.01), hypertension(P < 0.01), C-reactive protein (CRP) (P < 0.05), and lactate dehydrogenase (LDH) (P < 0.01) as compared to those presenting with milder symptoms.

Conclusion

The primary clinical presentations in both the cohorts were mostly similar. Predominant factors contributing to the severity of COVID-19 infection were age, diabetes, hypertension, elevated CRP levels, and increased LDH.

Role of renin-angiotensin system/angiotensin converting enzyme-2 mechanism and enhanced COVID-19 susceptibility in type 2 diabetes mellitus

Coronavirus disease 2019 (COVID-19) is a disease that caused a global pandemic and is caused by infection of severe acute respiratory syndrome coronavirus 2 virus. It has affected over 768 million people worldwide, resulting in approximately 6900000 deaths. High-risk groups, identified by the Centers for Disease Control and Prevention, include individuals with conditions like type 2 diabetes mellitus (T2DM), obesity, chronic lung disease, serious heart conditions, and chronic kidney disease. Research indicates that those with T2DM face a heightened susceptibility to COVID-19 and increased mortality compared to non-diabetic individuals. Examining the renin-angiotensin system (RAS), a vital regulator of blood pressure and pulmonary stability, reveals the significance of the angiotensin-converting enzyme (ACE) and ACE2 enzymes. ACE converts angiotensin-I to the vasoconstrictor angiotensin-II, while ACE2 counters this by converting angiotensin-II to angiotensin 1-7, a vasodilator. Reduced ACE2 expression, common in diabetes, intensifies RAS activity, contributing to conditions like inflammation and fibrosis. Although ACE inhibitors and angiotensin receptor blockers can be therapeutically beneficial by increasing ACE2 levels, concerns arise regarding the potential elevation of ACE2 receptors on cell membranes, potentially facilitating COVID-19 entry. This review explored the role of the RAS/ACE2 mechanism in amplifying severe acute respiratory syndrome coronavirus 2 infection and associated complications in T2DM. Potential treatment strategies, including recombinant human ACE2 therapy, broad-spectrum antiviral drugs, and epigenetic signature detection, are discussed as promising avenues in the battle against this pandemic.

COVID-19-Induced Diabetes Mellitus: Comprehensive Cellular and Molecular Mechanistic Insights

Despite evidence demonstrating the risks of developing diabetes mellitus because of SARS-CoV-2, there is, however, insufficient scientific data available to elucidate the relationship between diabetes mellitus and COVID-19. Research indicates that SARS-CoV-2 infection is associated with persistent damage to organ systems due to the systemic inflammatory response. Since COVID-19 is known to induce these conditions, further investigation is necessary to fully understand its long-term effects on human health. Consequently, it is essential to consider the effect of the COVID-19 pandemic when predicting the prevalence of diabetes mellitus in the future, especially since the incidence of diabetes mellitus was already on the rise before the pandemic. Additional research is required to fully comprehend the impact of SARS-CoV-2 infection on glucose tolerance and insulin sensitivity. Therefore, this article delves deeper into the current literature and links the perceived relationship between SARS-CoV-2 and diabetes. In addition, the article highlights the necessity for further research to fully grasp the mechanisms that SARS-CoV-2 utilises to induce new-onset diabetes. Where understanding and consensus are reached, therapeutic interventions to prevent the onset of diabetes could be proposed. Lastly, we propose advocating for the regular screening of diabetes and pre-diabetes, particularly for the high-risk population with a history of COVID-19 infection.

Resurgence of orbital mucormycosis during COVID-19 pandemic: Study from a tertiary care center in Eastern India

PURPOSE

A sudden surge of Mucormycosis cases during the second wave of Covid 19 was observed in certain parts of India. The reasons for this upsurge remain unknown. However its impact on the overall healthcare system was quite overwhelming. In this context this study was decided to estimate and assess the spectrum of orbital involvement in patients with Mucormycosis, to find its association with coexisting disease entities if any, and at the same time evaluate the therapeutic response to established treatment regimens.

MATERIALS AND METHODS

This descriptive longitudinal study was conducted over a period of six months. Patients presenting with symptoms of Mucormycosis were jointly evaluated by a multi speciality team. After confirmation of diagnosis, patients were treated with intravenous Amphotericin B, surgical debridement of affected sinuses and orbital exenteration when indicated. They were followed up for three months after discharge.

RESULTS

Forty-three patients were enrolled in this study. Thirty-seven (86.04%) were COVID positive. All of them had history of steroid exposure during COVID treatment. Ninety five percent of study participants had diabetes mellitus. Twenty-seven (62.79%) patients had orbital involvement. Most common clinical presentation was peri-orbital or facial pain and edema. Besides medical treatment, thirty-nine patients (90.69%) required sinus debridement and nine patients (20.9%) required orbital exenteration. Thirteen patients (30.23%) expired during the follow up period. With treatment disease regressed in twenty patients (46.51%).

CONCLUSION

Diabetes and use of steroids to prevent anticipated cytokine storm may be the inciting factors for Orbital Mucormycosis in COVID patients. Early diagnosis, treatment and control of risk factors are keys for recovery and survival..

New Insights into the Effects of SARS-CoV-2 on Metabolic Organs: A Narrative Review of COVID-19 Induced Diabetes

Coronavirus disease 2019 (COVID-19)-induced new-onset diabetes has raised widespread concerns. Increased glucose concentration and insulin resistance levels were observed in the COVID-19 patients. COVID-19 patients with newly diagnosed diabetes may have worse clinical outcomes and can have serious consequences. The types and exact mechanisms of COVID-19-caused diabetes are not well understood. Understanding the direct effects of the severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) on pancreatic beta cells and insulin target metabolism organs, such as the liver, muscle, and adipose tissues, will provide new ideas for preventing and treating the new-onset diabetes induced by COVID-19.

A Critical Review on the Long-Term COVID-19 Impacts on Patients With Diabetes

BACKGROUND

The world is currently grappling with the potentially life-threatening coronavirus disease 2019 (COVID-19), marking it as the most severe health crisis in the modern era. COVID-19 has led to a pandemic, with the World Health Organization (WHO) predicting that individuals with diabetes are at a higher risk of contracting the virus compared to the general population. This review aims to provide a practical summary of the long-term impacts of COVID-19 on patients with diabetes. Specifically, it focuses on the effects of SARS-CoV-2 on different types of diabetic patients, the associated mortality rate, the underlying mechanisms, related complications, and the role of vitamin D and zinc in therapeutic and preventive approaches.

METHODS

Relevant literature was identified through searches on PubMed, Web of Science, and Science Direct in English, up to April 2023.

RESULTS

COVID-19 can lead to distressing symptoms and pose a significant challenge for individuals living with diabetes. Older individuals and those with pre-existing conditions such as diabetes, coronary illness, and asthma are more susceptible to COVID-19 infection. Managing COVID-19 in individuals with diabetes presents challenges, as it not only complicates the fight against the infection but also potentially prolongs the recovery time. Moreover, the virus may thrive in individuals with high blood glucose levels. Various therapeutic approaches, including antidiabetic drugs, are available to help prevent COVID-19 in diabetic patients.

CONCLUSIONS

Diabetes increases the morbidity and mortality risk for patients with COVID-19. Efforts are globally underway to explore therapeutic interventions aimed at reducing the impact of diabetes on COVID-19.

Diabetes Mellitus, Energy Metabolism, and COVID-19

Obesity, diabetes mellitus (mostly type 2), and COVID-19 show mutual interactions because they are not only risk factors for both acute and chronic COVID-19 manifestations, but also because COVID-19 alters energy metabolism. Such metabolic alterations can lead to dysglycemia and long-lasting effects. Thus, the COVID-19 pandemic has the potential for a further rise of the diabetes pandemic. This review outlines how preexisting metabolic alterations spanning from excess visceral adipose tissue to hyperglycemia and overt diabetes may exacerbate COVID-19 severity. We also summarize the different effects of SARS-CoV-2 infection on the key organs and tissues orchestrating energy metabolism, including adipose tissue, liver, skeletal muscle, and pancreas. Last, we provide an integrative view of the metabolic derangements that occur during COVID-19. Altogether, this review allows for better understanding of the metabolic derangements occurring when a fire starts from a small flame, and thereby help reducing the impact of the COVID-19 pandemic.

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.

Gestational diabetes mellitus in the era of COVID-19: Challenges and opportunities

BACKGROUND AND AIMS

The impact of the coronavirus disease 2019 (COVID-19) pandemic on pregnant women, especially those with gestational diabetes mellitus (GDM), has yet to be fully understood. This review aims to examine the interaction between GDM and COVID-19 and to elucidate the pathophysiological mechanisms underlying the comorbidity of these two conditions.

METHODS

We performed a systematic literature search using the databases of PubMed, Embase, and Web of Science with appropriate keywords and MeSH terms. Our analysis included studies published up to January 26, 2023.

RESULTS

Despite distinct clinical manifestations, GDM and COVID-19 share common pathophysiological characteristics, which involve complex interactions across multiple organs and systems. On the one hand, infection with severe acute respiratory syndrome coronavirus 2 may target the pancreas and placenta, resulting in β-cell dysfunction and insulin resistance in pregnant women. On the other hand, the hormonal and inflammatory changes that occur during pregnancy could also increase the risk of severe COVID-19 in mothers with GDM. Personalized management and close monitoring are crucial for treating pregnant women with both GDM and COVID-19.

CONCLUSIONS

A comprehensive understanding of the interactive mechanisms of GDM and COVID-19 would facilitate the initiation of more targeted preventive and therapeutic strategies. There is an urgent need to develop novel biomarkers and functional indicators for early identification and intervention of these conditions.

A prospective study on endocrine function in patients with long-COVID symptoms

OBJECTIVE

To investigate hormonal status in patients with long-COVID and explore the interrelationship between hormone levels and long-COVID symptoms.

DESIGN

Prospective observational study.

PARTICIPANTS

Patients who visited our long-COVID outpatients' clinic due to long-COVID symptoms from February 2021 to December 2022.

MEASUREMENTS

Total triiodothyronine, free thyroxine, thyrotropin, thyroglobulin, anti-thyroperoxidase, and antithyroglobulin autoantibodies were measured for thyroid assessment. Other hormones measured were growth hormone, insulin-like growth factor 1 (IGF-1), adrenocorticotropic hormone (ACTH), serum cortisol, dehydroepiandrosterone sulfate (DHEA-S), total testosterone, plasma insulin, and C-peptide. Blood glucose and glycosylated hemoglobin were also measured. To assess adrenal reserve, an ACTH stimulation test was performed. The fatigue assessment scale (FAS) was used to evaluate fatigue severity.

RESULTS

Eighty-four adult patients were included. Overall, 40.5% of the patients had at least one endocrine disorder. These included prediabetes (21.4%), low DHEA-S (21.4%), subclinical hypothyroidism (3.6%), non-specific thyroid function abnormality (7.1%), thyroid autoimmunity (7.1%), low testosterone in males (6.6%), and low IGF-1 (3.6%). All patients had normal adrenal reserve. Long-COVID-19 symptoms were present in all patients and the most commonly reported symptom was fatigue (89.3%). The FAS score was higher than normal (≥ 22) in 42.8% of patients. There were no associations between patients' symptoms and hormone levels. Diabetic patients reported confusion (p = 0.020) and hair loss (p = 0.040) more often than non-diabetics.

CONCLUSIONS

The evaluation of endocrine function 3 months after a positive SARS-CoV2 test revealed only subclinical syndromes. The vast majority of patients reported mainly fatigue, among other symptoms, which were unrelated, however, to endocrine function.

Is COVID-19 Infection a Multiorganic Disease? Focus on Extrapulmonary Involvement of SARS-CoV-2

First described in December 2019 in Wuhan (China), COVID-19 disease rapidly spread worldwide, constituting the biggest pandemic in the last 100 years. Even if SARS-CoV-2, the agent responsible for COVID-19, is mainly associated with pulmonary injury, evidence is growing that this virus can affect many organs, including the heart and vascular endothelial cells, and cause haemostasis, CNS, and kidney and gastrointestinal tract abnormalities that can impact in the disease course and prognosis. In fact, COVID-19 may affect almost all the organs. Hence, SARS-CoV-2 is essentially a systemic infection that can present a large number of clinical manifestations, and it is variable in distribution and severity, which means it is potentially life-threatening. The goal of this comprehensive review paper in the series is to give an overview of non-pulmonary involvement in COVID-19, with a special focus on underlying pathophysiological mechanisms and clinical presentation.

Inflammatory biomarkers predict higher risk of hyperglycemic crises but not outcomes in diabetic patients with COVID-19

Background

Inflammation is a predictor of severe complications in patients with COVID-19 infection under a variety of clinical settings. A few studies suggested that COVID-19 infection was a trigger of hyperglycemic crises including diabetic ketoacidosis (DKA) and/or hyperglycemic hyperosmolar state (HHS). However, the association between inflammation and hyperglycemic crises in diabetic patients with COVID-19 infection is unclear.

Methods

One hundred and twenty-four patients with type 2 diabetes mellitus (T2DM) and COVID-19 infection from January 2023 to March 2023 were retrospectively analyzed. Demographic, clinical, and laboratory data, especially inflammatory markers including white blood cell (WBC), neutrophils, neutrophil-to-lymphocyte ratio (NLR), c-reactive protein (CRP) and procalcitonin (PCT) were collected and compared between patients with or without DKA and/or HHS. Multivariable logistic regression analysis was conducted to explore the association between inflammatory biomarkers and the prevalence of hyperglycemic crises. Patients were followed up 6 months for outcomes.

Results

Among 124 diabetic patients with COVID-19, 9 were diagnosed with DKA or HHS. Comparing COVID-19 without acute diabetic complications (ADC), patients with DKA or HHS showed elevated levels of c-reactive protein (CRP, P=0.0312) and procalcitonin (PCT, P=0.0270). The power of CRP and PCT to discriminate DKA or HHS with the area under the receiver operating characteristics curve (AUROC) were 0.723 and 0.794, respectively. Multivariate logistic regression indicated 1.95-fold and 1.97-fold increased risk of DKA or HHS with 1-unit increment of CRP and PCT, respectively. However, neither CRP nor PCT could predict poor outcomes in diabetic patients with COVID-19.

Conclusion

In this small sample size study, we firstly found that elevated serum CRP and PCT levels increased the risk of hyperglycemic crises in T2DM patients with COVID-19 infection. More study is needed to confirm our findings.

Can euglycemic Diabetic Ketoacidosis Caused by SGLT2 Inhibitors be avoided in Covid-19 and other acute Infections?

Introduction

We present a case of anion gap euglycemic diabetic ketoacidosis (EuDKA) in a patient with COVID-19 infection. Patients with diabetes mellitus are at increased risk of severe illness, and hyperglycaemia is associated with higher morbidity and mortality in patients infected with COVID-19.

Case Description

A 76-year-old male with diabetes mellitus treated with SGLT2 inhibitor tested positive for COVID-19 infection on day 3 after his admission. In the emergency room he had a high anion gap metabolic acidosis and a blood glucose of 248 mg/dl. His urine tested strongly positive for ketones. A diagnosis of euglycemic diabetic ketoacidosis was made and he was treated with intravenous insulin and normal saline; his antidiabetic medications were stopped. His metabolic acidosis gradually resolved, and he was discharged.

Discussion

Euglycemic diabetic ketoacidosis is a rare complication of COVID-19 infection. It is defined by the American Diabetes Association as the triad of anion gap metabolic acidosis with arterial pH <7.3, serum bicarbonate <18 mmol/l and ketonuria or ketonemia. It is a life-threatening complication which usually occurs in type 1 diabetes mellitus patients but may also occur in type 2 diabetes mellitus patients. As described earlier, it is associated with hyperglycaemia but if blood glucose is low or near normal but <250 mg/dl it is then named euglycemic diabetic ketoacidosis. Patients treated with SGLT2 inhibitors are at increased risk of euglycemic diabetic ketoacidosis.

Conclusions

COVID-19 infection precipitated euglycemic diabetic ketoacidosis in our patient. SGLT2 inhibitors must be stopped when this adverse reaction occurs. As their use increases, the risk of this adverse reaction is higher as well. Their prescription should be restricted to trained physicians who are able to educate their patients and treat them appropriately in situations that may arise.

LEARNING POINTS

COVID-19 infected patients are at increased risk of developing diabetic ketoacidosis or euglycemic ketoacidosis when treated with SGLT-2 inhibitors.It is practical to discontinue the drug at the onset of any symptoms consistent with acute infection to prevent the development of euglycemic diabetic ketoacidosis.

Pancreatic and Hepatic Injury in COVID-19: A Worse Prognosis in NAFLD Patients?

The novel disease produced by SARS-CoV-2 mainly harms the respiratory tract, but it has shown the capacity to affect multiple organs. Epidemiologic evidence supports the relationship between Coronavirus Disease 2019 (COVID-19) and pancreatic and hepatic injury development, identified by alterations in these organ function markers. In this regard, it is important to ascertain how the current prevalence of non-alcoholic fatty liver disease (NAFLD) and non-alcoholic steatohepatitis (NASH) might affect COVID-19 evolution and complications. Although it is not clear how SARS-CoV-2 affects both the pancreas and the liver, a multiplicity of potential pathophysiological mechanisms seem to be implicated; among them, a direct viral-induced injury to the organ involving liver and pancreas ACE2 expression. Additionally, immune system dysregulation, coagulopathies, and drugs used to treat the disease could be key for developing complications associated with the patient's clinical decline. This review aims to provide an overview of the available epidemiologic evidence regarding developing liver and pancreatic alterations in patients with COVID-19, as well as the possible role that NAFLD/NASH might play in the pathophysiological mechanisms underlying some of the complications associated with COVID-19. This review employed a comprehensive search on PubMed using relevant keywords and filters. From the initial 126 articles, those aligning with the research target were selected and evaluated for their methodologies, findings, and conclusions. It sheds light on the potential pathophysiological mechanisms underlying this relationship. As a result, it emphasises the importance of monitoring pancreatic and hepatic function in individuals affected by COVID-19.

The COVID-19 Pandemic Increased the Incidence of New-Onset Type One Diabetes in Children

Background: The impact of the COVID-19 pandemic on the incidence rate of childhood type 1 diabetes (T1D) is controversial. Our aim was to analyze the incidence of new-onset T1D among children aged 0-17 before and during the COVID-19 pandemic in Israel. Methods: Data obtained from the national T1D registry for children aged 0-17 were analyzed for the pre-pandemic (1997-2019) and pandemic (2020-2022) periods. In the pre-pandemic period, 7246 children with newly diagnosed T1D were compared with 1490 children diagnosed during the pandemic period. Results: T1D incidence significantly increased in the 0-17 age group from a mean of 12.9/105 (pre-pandemic) to 17.7/105 and 16.7/105 during the first two years of the pandemic (2020 and 2021, respectively) (p = 0.0001). Stratifying by age group (0-4, 5-9, 10-14, and 15-17) revealed a significant increase in the 5-9, 10-14, and 15-17 groups, both in 2020 (p = 0.0001) and in 2021 (p = 0.0001). The incidence rate in the 0-4 age group showed no change in the first year of the pandemic (2020) (p = 0.4). However, in the second year of the pandemic (2021), there was a significant increase from 6.3/105 in the pre-pandemic period to 9.1/105 (p = 0.001). Anti-COVID-19 vaccination in 2022 led to a significant decrease in the incidence rates in the 10-14 and 15-17 age groups (p = 0.03 and p = 0.02, respectively). Conclusion: The COVID-19 pandemic was associated with a significant increase in the incidence of new-onset T1D in prepubertal and pubertal children. Anti-COVID-19 vaccination decreased the incidence rate significantly only in pubertal children.

Assessment of the Negative Factors for the Clinical Outcome in Patients with SARS-CoV-2 Infection and Type 2 Diabetes Mellitus

Purpose

Patients with diabetes mellitus (DM) are more susceptible to viral and bacterial infections, facing a more severe prognosis and higher mortality rates. The study's main aim was to evaluate the survival and mortality rates of patients with type 2 diabetes (T2DM) and SARS-CoV-2 virus infection alongside the main factors influencing the prognosis.

Patients and Methods

The present study included 186 patients with T2DM and SARS-CoV-2 virus infection admitted to the COVID-19 Department of the "Pius Brînzeu" Emergency Clinical County University Hospital between November 2020 and March 2021. Patients had investigations performed upon arrival in the emergency room and during hospitalization. We analyzed the risk of negative prognosis based on clinical data (oxygen saturation (SatO2), respiratory rate (RR), lung damage), glycemic control (HbA1c, glycemia at hospital admission), and the duration of T2DM.

Results

The mortality rate in the studied group was 36.6%. All deceased patients had previously been diagnosed with hypertension; 95.58% had a body mass index (BMI) greater than 25 kg/m2, and 79.41% presented with cardiovascular disease (CVD). Compared to those who recovered, statistically significant differences were observed in BMI, glycemic levels at admission, glycosylated hemoglobin levels (HbA1c), SatO2, RR, and lung damage. Valid statistically significant predictors for death in T2DM patients with COVID-19 were hyperglycemia at admission > 198mg/dl, HbA1c> 8.6%, and SatO2≤ 87%.

Conclusion

SatO2, glycemia at hospital admission, and HbA1c had the highest sensitivity and specificity to predict the prognosis of T2DM patients with SARS-CoV-2 infection. Glycemic control is essential in the prognosis of patients with DM and COVID-19 infection. The prognosis was worse if other comorbidities were associated, especially hypertension and CVD.

Hyperglycemia and elevated C-reactive protein are independent predictors of hospital mortality in hospitalized COVID-19 patients in South-Kivu, eastern Democratic Republic of the Congo: A cross-sectional study

Background and Aim

The coronavirus disease 2019 (COVID-19) pandemic was a priority public health problem because of its high mortality rate. This study mainly aimed to determine factors associated with a poor outcome in COVID-19 hospitalized patients in South-Kivu, an eastern province of the Democratic Republic of the Congo (DRC).

Methods

This observational study retrospectively evaluated medical records of patients consecutively admitted for probable or confirmed COVID-19 between May 01 and July 31, 2020 at the Hôpital Provincial Général de Référence de Bukavu (HPGRB), a tertiary hospital located in South-Kivu. A binary logistic regression model was performed to determine the predictors of mortality.

Results

A total of 157 hospitalized COVID-19 patients aged 57.7 (13.2) years were included in this study. Male gender (69.4%), older age (52.9%), medical history of diabetes (38.2%), and arterial hypertension (35.1%) were the most frequent risk factors. Most patients presented with fever (73.3%), cough (72.6%), and dyspnea (66.2%). Overall, 45.1% of patients died. Intrahospital mortality was significantly associated with advanced age [odds ratio, OR (95% confidence interval, CI) = 2.34 (1.06-5.38)], hypoxemia [OR (95% CI) = 4.67 (2.02-10.77)], hyperglycemia [OR (95% CI) = 2.14 (1.06-4.31)], kidney failure [OR (95% CI) = 2.82 (1.4-5.68)], hyperleukocytosis [OR (95% CI) = 3.33 (1.67-6.66)], and higher C-reactive protein (CRP) levels [OR (95% CI) = 3.93 (1.93-8.01)]. After adjustment for various covariates, only higher CRP levels [OR (95% CI) = 3.23 (1.23-8.5)] and hyperglycemia [OR (95% CI) = 2.5 (1.02-6.11)] at admission were independently associated with mortality.

Conclusion

Hyperglycemia and marked inflammatory syndrome were the major predictors of poor outcomes in patients hospitalized for COVID-19 in South-Kivu. These two factors should be quantified at hospital admission to establish the patient's prognosis.

Metabolism configures immune response across multi-systems: Lessons from COVID-19

Several studies over the last decade demonstrate the recruitment of immune cells, increased inflammatory cytokines, and chemokine in patients with metabolic diseases, including heart failure, parenchymal inflammation, obesity, tuberculosis, and diabetes mellitus. Metabolic rewiring of immune cells is associated with the severity and prevalence of these diseases. The risk of developing COVID-19/SARS-CoV-2 infection increases in patients with metabolic dysfunction (heart failure, diabetes mellitus, and obesity). Several etiologies, including fatigue, dyspnea, and dizziness, persist even months after COVID-19 infection, commonly known as Post-Acute Sequelae of CoV-2 (PASC) or long COVID. A chronic inflammatory state and metabolic dysfunction are the factors that contribute to long COVID. Here, this study explores the potential link between pathogenic metabolic and immune alterations across different organ systems that could underlie COVID-19 and PASC. These interactions could be utilized for targeted future therapeutic approaches.

COVID-19 Vaccination Prior to SARS-CoV-2 Infection Reduced Risk of Subsequent Diabetes Mellitus: A Real-World Investigation Using U.S. Electronic Health Records

OBJECTIVE

Previous studies have indicated a bidirectional correlation between diabetes and severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) infection. However, no investigation has comprehensively explored the potential of coronavirus disease 2019 (COVID-19) vaccination to reduce the risk of new-onset diabetes in infected individuals.

RESEARCH DESIGN AND METHODS

In the first of 2 cohorts, we compared the risk of new-onset diabetes between individuals infected with SARS-CoV-2 and noninfected individuals (N = 1,562,606) using the TriNetX database to validate findings in prior literature. For the second cohort, we identified 83,829 vaccinated and 83,829 unvaccinated COVID-19 survivors from the same period. Diabetes, antihyperglycemic drug use, and a composite of both were defined as outcomes. We conducted Cox proportional hazard regression analysis for the estimation of hazard ratios (HRs) and 95% CIs. Kaplan-Meier analysis was conducted to calculate the incidence of new-onset diabetes. Subgroup analyses based on age (18-44, 45-64, ≥65 years), sex (female, male), race (White, Black or African American, Asian), and BMI categories (<19.9, 20-29, 30-39, ≥40), sensitivities analyses, and a dose-response analysis were conducted to validate the findings.

RESULTS

The initial cohort of patients infected with SARS-CoV-2 had a 65% increased risk (HR 1.65; 95% CI 1.62-1.68) of developing new-onset diabetes relative to noninfected individuals. In the second cohort, we observed that vaccinated patients had a 21% lower risk of developing new-onset diabetes in comparison with unvaccinated COVID-19 survivors (HR 0.79; 95% CI 0.73-0.86). Subgroup analyses by sex, age, race, and BMI yielded similar results. These findings were consistent in sensitivity analyses and cross-validation with an independent data set from TriNetX.

CONCLUSIONS

In conclusion, this study validates a 65% higher risk of new-onset diabetes in SARS-CoV-2-infected individuals compared to noninfected counterparts. Furthermore, COVID-19 survivors who received COVID-19 vaccinations experienced a reduced risk of new-onset diabetes, with a dose-dependent effect. Notably, the protective impact of COVID-19 vaccination is more pronounced among the Black/African American population than other ethnic groups. These findings emphasize the imperative of widespread vaccination to mitigate diabetes risk and the need for tailored strategies for diverse demographic groups to ensure equitable protection.

The impact of covid-19 pandemic on pregnancy outcome

BACKGROUND

The acute respiratory disease caused by the coronavirus (COVID-19) has spread rapidly worldwide yet has not been eliminated. The infection is especially deadly in vulnerable populations. The current studies indicate that pregnant women are at greater risk of getting seriously ill. Even though fetuses protect against disease, the additional finding showed that the COVID-19 pandemic could increase fetal and maternal morbidities. In a situation where COVID-19 and new strains of the virus are still not controlled, scientists predicted that the world might experience another pandemic. Consequently, more research about the effects of COVID-19 infection on pregnancy outcomes is needed. This study aimed to compare the pregnancy outcomes of Iranian pregnant women in the first year of the pandemic with the previous year.

METHODS

This prospective cross-sectional study was performed to compare the pregnancy outcome during the COVID-19 pandemic among Iranian pregnant women who gave birth during the pandemic and one year before the pandemic (2019-2020 and 2020-2021). The sample size was 2,371,332 births registered at hospitals and birth centers platforms. The studied variables include stillbirth, congenital anomaly, birth weight, preeclampsia, gestational diabetes, cesarean section, ICU admission, mean of the gestational age at birth, preterm births, NICU admission, neonatal mortality and the percentage of deliveries with at least one complication such as blood transfusion and postpartum ICU admission. Analyzing data was done by using SPSS version 25 software.

RESULTS

We found statistical differences between pregnancy and birth outcomes during the COVID-19 pandemic compared to one year before. The risk of preeclampsia, gestational diabetes, cesarean section, preterm birth and NICU admission were clinically significant. Also, there was a significant decrease in mean gestational age.

CONCLUSION

The COVID-19 pandemic has affected the pregnancy outcome by increasing morbidities and complications during pregnancy, birth, and postpartum. In addition, extensive quarantine outbreaks disrupted the healthcare system and hindered access to prenatal services. It is necessary to develop preventive and therapeutic care protocols for similar pandemic conditions.

Rhino-orbito-cerebral mucormycosis during Covid-19 pandemic- a prospective observational study

OBJECTIVE

An unprecedented rise in mucormycosis cases; apparently called 'an epidemic within a pandemic' was seen worldwide. Therefore, the following study was conducted to know the epidemiology, underlying risk factors, diagnostic approach, and possible outcome of mucormycosis during the Covid-19 pandemic.

METHODS

A prospective observational study was conducted on patients with a high index of clinical suspicion of mucormycosis Data about demographics, co-morbidities, laboratory investigations, radiology, management, and outcomes were collected.

RESULTS

We got 45 cases of proven Rhino-orbital-cerebral-mucormycosis (ROCM) from clinically suspected cases. Covid-19 was the most common underlying risk factor (n ​= ​41, 91.11%) followed by Diabetes mellitus (DM) (n ​= ​39; 86.67%). Steroids and oxygen usage were noted in 53.66% (n ​= ​22) and 41.46% (n ​= ​17) respectively. Among the 51 suspected cases of mucormycosis, 47 were supported by radiodiagnosis. Histopathology diagnosed the highest number of mucormycosis cases (n ​= ​44; 97.78%), followed by KOH examination (n ​= ​36; 80%) and Culture (n ​= ​28; 62.22%). The most common species isolated from the tissue samples was Rhizopus species (n ​= ​17; 60.71%), followed by Mucor species (n ​= ​7; 25%). The mortality rate was 17.14%.

CONCLUSION

DM, Covid-19, and corticosteroids are the chief underlying risk factor for ROCM. Rhizopus spp. was the most dominant etiological agent. Early diagnosis and management with combined medical & surgical intervention have a better survival rate.

The published trend of studies on COVID-19 and diabetes: bibliometric analysis

Background

Since the COVID-19 pandemic outbreak, diabetes mellitus (DM) has been at the core of the confirmed risk factors for fatal or critical care unit-treated COVID-19 and COVID-19 related complications. Although relevant studies on DM have developed rapidly during the COVID-19 pandemic. However, the aforementioned research results have not been systematically quantified by means of bibliometric analysis.

Purpose

The purpose of this study is to provide a comprehensive analysis of the current status and trends of publications related to DM research during the COVID19 epidemic.

Methods

A bibliometric analysis was performed using the Web of Science database. In this study, we used citespace, R software and R-Bibliometrix to analyze keywords, most-cited authors, most-cited countries, most-cited global documents, and co-occurrence and co-citation networks.

Results

A total of 1688 publications was included in this study. Investigators from the United States contributed the most publications. The United States, China and Europe have the most collaboration with the other countries/regions. A total of 3355 institutions made contributions to this study. Of the top 10 institutions with the most publications, N8 Research Partnership showed the most centrality. Among the top 10 journals, Diabetes Research and Clinical Practice published the most articles. Among authors included, Khunti Kamlesh is rated first with 27 papers and has the highest centrality. The most frequently co-cited article is entitled "Clinical course and risk factors for mortality of adult inpatients with COVID-19 in Wuhan, China: a retrospective cohort study". The most popular keywords included diabetes, mortality, diabetes, outcome, occurrences, risk, and type 1 diabetes.

Conclusion

This bibliometric study provides an overall picture of DM research and research trends during the COVID-19 pandemic and provides a basis for researchers to develop their next research strategies.

From Emergence to Endemicity: A Comprehensive Review of COVID-19

Severe acute respiratory syndrome coronavirus-2 (SARS-CoV-2), later renamed coronavirus disease 2019 (COVID-19), was first identified in Wuhan, China, in early December 2019. Initially, the China office of the World Health Organization was informed of numerous cases of pneumonia of unidentified etiology in Wuhan, Hubei Province at the end of 2019. This would subsequently result in a global pandemic with millions of confirmed cases of COVID-19 and millions of deaths reported to the WHO. We have analyzed most of the data published since the beginning of the pandemic to compile this comprehensive review of SARS-CoV-2. We looked at the core ideas, such as the etiology, epidemiology, pathogenesis, clinical symptoms, diagnostics, histopathologic findings, consequences, therapies, and vaccines. We have also included the long-term effects and myths associated with some therapeutics of COVID-19. This study presents a comprehensive assessment of the SARS-CoV-2 virology, vaccines, medicines, and significant variants identified during the course of the pandemic. Our review article is intended to provide medical practitioners with a better understanding of the fundamental sciences, clinical treatment, and prevention of COVID-19. As of May 2023, this paper contains the most recent data made accessible.

COVID-19 Vaccination and Its Relation to New-Onset Diabetes: A Narrative Review

The COVID-19 vaccination has been effective in preventing a lot of complications caused by SARS-CoV-2 and its variants. Meanwhile, diabetes mellitus, one of the root causes of many co-morbidities, exhibited itself during the COVID-19 pandemic and after COVID-19 vaccination. Diabetes mellitus introduced itself in a new perspective, leading to a variety of presentations and causing a significant number of emergency admissions. Many of the pre-diabetes patients with no prior history of diabetes developed fulminant type 1 diabetes mellitus (T1DM) after the COVID-19 vaccination. Some cases of conversion of type 2 diabetes mellitus (T2DM) into T1DM were reported. Some prediabetes/diabetes patients presented with the development of diabetic ketoacidosis after COVID-19 vaccination, whereas some previously healthy people with no relation to diabetes also developed acute exacerbations of new-onset T1DM or T2DM along with lethal ketoacidosis. The purpose of writing this review was to explore what kind of people are more prone to develop new-onset diabetes or diabetic complications, including diabetic ketoacidosis, the typical presentation of these patients, possible mechanisms that lead to these complications occurring after the COVID-19 vaccination, how they can be managed, and whether there is a good prognosis after management or not.

A Case Series on Post-COVID Tuberculosis: An Underrated Duo of COVID-19 and Tuberculosis

In India, tuberculosis (TB) has the second highest disease burden following diabetes mellitus. During the COVID-19 pandemic, there was a surge of several opportunistic infections. In this case series, we report five patients, including three adults and two adolescents, who have developed various forms of TB disease after symptomatic COVID-19 pneumonia. The average time for development of post-COVID TB was 48 days. Adolescent patients have developed disseminated TB, which can be due to COVID-19-induced immunological injury or its treatment-related immune suppression. All the adult patients had high CT severity scores (CTSS) and required the administration of intravenous steroids during their COVID-19 pneumonia. Various presentations of TB were secondary spontaneous pneumothorax, miliary TB, consolidation, and nodular infiltrates. One patient had a drug-induced liver injury, which complicated the treatment of that patient. Factors that may contribute to the development of post-COVID TB are diabetes mellitus, increased severity of COVID-19 pneumonia manifested by CTSS, and administration of intravenous steroids. Bidirectional screening of TB had to be done when patients present with symptoms of COVID-19 pneumonia.

Effects of COVID-19 Infection on the Oral Glucose Tolerance Test Results in Pregnancy

INTRODUCTION

The aim of this study was to evaluate the results of a 75 g oral glucose tolerance test (OGTT) performed in the second trimester of pregnancy, the prevalence of gestational diabetes mellitus (GDM), and perinatal outcomes in pregnant women with a history of coronavirus disease 2019 (COVID-19) infection and to examine the effect of COVID-19 infection history on OGTT results and GDM prevalence.

METHODS

We retrospectively analyzed the data of 463 patients who visited the Gynecology and Obstetrics Department of Kayseri City Hospital between March 2020 and January 2023 and were administered a 75-g OGTT in the second trimester of their pregnancy. Accordingly, we traced COVID-19 history, OGTT results, GDM prevalence, and newborn outcomes among the patients.

RESULTS

OGTT glucose values were higher in the study group with a history of COVID-19 infection, but there was no significant difference between the groups. GDM developed in 13 (23.2%) pregnant women in the group with a history of COVID-19 infection and 88 (21.6%) pregnant women in the control group without a history of COVID-19 (p: 0.348). In addition, in pregnant women diagnosed with GDM, insulin requirement was 8.9% in the COVID-19 (+) group and 5.1% in the COVID-19 (-) group, and the results were not statistically significant (p: 0.178). There was no significant difference in neonatal outcomes between the groups.

CONCLUSIONS

In our study, we found that glucose values were higher and the prevalence of GDM was higher in pregnant women with a history of COVID-19 infection before the OGTT. It is necessary to be more careful about issues such as blood glucose regulation and GDM risk in pregnancy follow-up after infections such as COVID-19, which may have widespread systemic inflammatory effects, and patients should be informed in detail for pregnancy follow-up.

Mesenchymal Stem Cells in the Treatment of COVID-19

Since the emergence of the coronavirus disease 2019 (COVID-19) pandemic, many lives have been tragically lost to severe infections. The COVID-19 impact extends beyond the respiratory system, affecting various organs and functions. In severe cases, it can progress to acute respiratory distress syndrome (ARDS) and multi-organ failure, often fueled by an excessive immune response known as a cytokine storm. Mesenchymal stem cells (MSCs) have considerable potential because they can mitigate inflammation, modulate immune responses, and promote tissue regeneration. Accumulating evidence underscores the efficacy and safety of MSCs in treating severe COVID-19 and ARDS. Nonetheless, critical aspects, such as optimal routes of MSC administration, appropriate dosage, treatment intervals, management of extrapulmonary complications, and potential pediatric applications, warrant further exploration. These research avenues hold promise for enriching our understanding and refining the application of MSCs in confronting the multifaceted challenges posed by COVID-19.

Evidence of increasing incidence of type 1 diabetes and ketoacidosis among children in the Republic of Srpska in period 2017-2022 with special focus on COVID-19 global pandemic years

Background and objectives

Primary focus of the research was to determine the incidence of type 1 diabetes mellitus in the period from 2017 to 2022, and whether COVID-19 had an impact on the increase in the number of newly diagnosed children with diabetes type 1 under the age of 15 in the Republic of Srpska (Bosnia and Herzegovina). In the period 2001-2016 the incidence of type 1 diabetes mellitus was 11/100,000, with an annual increasing rate of 14.2%.

Methods

Available data from pediatric endocrinology clinics, in the Republic of Srpska, on the number of newly diagnosed patients with diabetes mellitus in the period from January 1, 2017 until December 31, 2022 were used. A retrospective analysis was performed, and the capture-recapture method was used for the final assessment, and the obtained result corresponds to about 99% of the population.

Results

The total number of children in the group of 0-14 years of age diagnosed with type 1 diabetes mellitus in this period was 183, of which 96 (52.46%) were boys, and 87 (47.54%) were girls. The average age at which diabetes mellitus was diagnosed was 8.3 ± 3.9 years. Average incidence of diabetes in the period 2017-2022 was 19/100,000 (95% CI 13.1-25.0). The highest incidence was 28.7/100,000 in 2020, the first year of the global COVID-19 pandemic. Out of a total of 183 newly diagnosed cases in the period 2017-2022, 73 (39.9%) were diagnosed with ketoacidosis upon admission. The largest number of newly diagnosed children was recorded in the group of children aged 10-14 years.

Conclusion

In the last 6 years, there has been a significant increase in the incidence of type 1 diabetes mellitus in children under the age of 15. With an incidence of 19.4/100,000 in the Republic of Srpska, we entered the group of countries with high-risk for diabetes. Further steps must focus on the education of the entire society in order to recognize the symptoms of the disease in time and prevent the occurrence of ketoacidosis, which could significantly reduce the burden on health systems, especially in times of global pandemics, such as the COVID-19 pandemic.

Incidence of Diabetes Among Youth Before and During the COVID-19 Pandemic

Importance

Prior research found increases in diabetes among youth during the COVID-19 pandemic, but few studies examined variation across sociodemographics.

Objective

To examine diabetes incidence rates among a diverse population of youth in the US before and during the COVID-19 pandemic.

Design, Setting, and Participants

This cohort study included data from Kaiser Permanente Southern California (KPSC) between January 1, 2016, and December 31, 2021. KPSC members aged from birth to 19 years with no history of diabetes were included. Individuals were followed up using electronic health records for diabetes incidence defined using diagnoses, laboratory values, and medications. Analyses were conducted between November 2022 and January 2023.

Main Outcome and Measures

Age- and sex-standardized annual and quarterly incidence rates per 100 000 person-years (PYs) were calculated for type 1 diabetes and type 2 diabetes between 2016 and 2021. Rates were calculated within strata of age (<10 and 10-19 years), sex, and race and ethnicity (Asian/Pacific Islander, Hispanic, non-Hispanic Black, non-Hispanic White, and other/multiple/unknown). Using Poisson regression with robust error variances, incidence rate ratios (IRR) comparing 2020 to 2021 with 2016 to 2019 were calculated by diabetes type and within age, sex, and race and ethnicity strata and adjusting for health care utilization.

Results

Between 2016 to 2021, there were 1200, 1100, and 63 patients with type 1 diabetes (mean [SD] age, 11.0 [4.5] years; 687 [57.3%] male), type 2 diabetes (mean [SD] age, 15.7 [2.7] years; 516 [46.9%] male), and other diabetes, respectively. Incidence of type 1 diabetes increased from 18.5 per 100 000 PYs in 2016 to 2019 to 22.4 per 100 000 PYs from 2020 to 2021 with increased IRRs among individuals aged 10 to 19 years, male individuals, and Hispanic individuals. Incidence of type 2 diabetes increased from 14.8 per 100 000 PYs from 2016 to 2019 to 24.7 per 100 000 PYs from 2020 to 2021 with increased IRRs among individuals aged 10 to 19 years, male and female individuals, and those with Black, Hispanic, and other/unknown race and ethnicity.

Conclusions and Relevance

In this cohort study of youth in KPSC, incidence of diabetes increased during the COVID-19 pandemic and was more pronounced in specific racial and ethnic groups. Future research to understand differential impacts of physiologic and behavioral risk factors is warranted.

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.

Correlations between serum leptin levels and classical biomarkers in SARS-CoV-2 infection, in critically ill patients

BACKGROUND

Altered levels of some blood markers might be linked with the degree of severity and mortality of patients with SARS-CoV-2 infection. This study aimed to find out if there are correlations between serum leptin levels and classical biomarkers.

MATERIALS AND METHODS

We present a single-center observational cohort study on SARS-CoV-2 infected patients. The study was conducted at Infectious Diseases Clinic of Academic Emergency Hospital Sibiu, from May through November 2020. In this study, we retrospectively analyzed 54 patients, all with confirmed SARS-CoV-2 infection.

RESULTS

Our results revealed that there is a negative correlation between serum leptin and Interleukin-6 levels and a positive correlation between serum leptin and blood glucose levels. A positive correlation between ferritin and lactate dehydrogenase levels was also observed. No correlation was found between leptin and other biomarkers such as ferritin, neutrophil/lymphocyte ratio, lactate dehydrogenase, C-reactive protein, fibrinogen, erythrocyte sedimentation rate, or D-dimer.

CONCLUSIONS

Further studies need to be conducted to investigate the role of leptin in SARS-CoV-2 infection. The results of this research could contribute to the introduction of the determination of serum leptin levels in the routine evaluation of patients with critical illness.

Long-term multiple metabolic abnormalities among healthy and high-risk people following nonsevere COVID-19

Few studies have identified the metabolic consequences of the post-acute phase of nonsevere COVID-19. This prospective study examined metabolic outcomes and associated factors in nonsevere, RT-PCR-confirmed COVID-19. The participants' metabolic parameters, the prevalence of long-term multiple metabolic abnormalities (≥ 2 components), and factors influencing the prevalence were assessed at 1, 3, and 6 months post-onset. Six hundred individuals (mean age 45.5 ± 14.5 years, 61.7% female, 38% high-risk individuals) with nonsevere COVID-19 attended at least one follow-up visit. The prevalence of worsening metabolic abnormalities was 26.0% for BMI, 43.2% for glucose, 40.5% for LDL-c, 19.1% for liver, and 14.8% for C-reactive protein. Except for lipids, metabolic-component abnormalities were more prevalent in high-risk hosts than in healthy individuals. The prevalence of multiple metabolic abnormalities at the 6-month follow-up was 41.3% and significantly higher in high-risk than healthy hosts (49.2% vs 36.5%; P = 0.007). Factors independently associated with a lower risk of these abnormalities were being female, having dyslipidemia, and receiving at least 3 doses of the COVID-19 vaccine. These findings suggest that multiple metabolic abnormalities are the long-term consequences of COVID-19. For both high-risk and healthy individuals with nonsevere COVID-19, healthcare providers should monitor metabolic profiles, encourage healthy behaviors, and ensure complete vaccination.

Sodium-glucose cotransporter-2 inhibitor-associated euglycemic diabetic ketoacidosis in COVID-19-infected patients: A systematic review of case reports

BACKGROUND

Diabetic ketoacidosis (DKA) manifests as hyperglycemia, metabolic acidosis, and ketosis. However, euglycemic DKA (eu-DKA) conceals severe DKA with glucose levels below 200 mg/dL. Sodium-glucose cotransporter-2 (SGLT2) inhibitors can induce eu-DKA in diabetic patients. Notably, coronavirus disease 2019 (COVID-19) -infected individuals with diabetes using SGLT2 inhibitors face an augmented risk of eu-DKA due to the direct toxic impact of the virus on pancreatic islets. This study aims to comprehensively investigate the association between SGLT2 inhibitors and eu-DKA in COVID-19 patients through meticulous case report analysis. Additionally, we endeavor to examine the outcomes and treatment approaches for COVID-19-infected diabetics receiving SGLT2 inhibitors, providing indispensable insights for healthcare professionals managing this specific patient population.

AIM

To investigate the connection between SGLT2 inhibitors and euglycemic DKA in COVID-19 patients through a meticulous analysis of case reports.

METHODS

We conducted an exhaustive search across prominent electronic databases, including PubMed, SCOPUS, Web of Science, and Google Scholar. This search encompassed the period from December 2019 to May 2022, incorporating published studies and pre-prints. The search terms employed encompassed "SGLT2 inhibitors", "euglycemic DKA", "COVID-19", and related variations. By incorporating these diverse sources, our objective was to ensure a thorough exploration of the existing literature on this subject, thereby augmenting the validity and robustness of our findings.

RESULTS

Our search yielded a total of seven case reports and one case series, collectively comprising a cohort of twelve patients. These reports detailed instances of eu-DKA in individuals with COVID-19. Crucially, all twelve patients were utilizing SGLT2 as their primary anti-diabetic medication. Upon admission, all oral medications were promptly discontinued, and the patients were initiated on intravenous insulin therapy to effectively manage the DKA. Encouragingly, eleven patients demonstrated a favorable outcome, while regrettably, one patient succumbed to the condition. Subsequently, SGLT2 were discontinued for all patients upon their discharge from the hospital. These findings provide valuable insights into the clinical management and outcomes of eu-DKA cases associated with COVID-19 and SGLT2, underscoring the critical importance of prompt intervention and vigilant medication adjustments.

CONCLUSION

Our study sheds light on the possibility of diabetic patients developing both drug-related and unrelated DKA, as well as encountering adverse outcomes in the context of COVID-19, despite maintaining satisfactory glycemic control. The relationship between glycemic control and clinical outcomes in COVID-19 remains ambiguous. Consequently, this systematic review proposes that COVID-19-infected diabetic patients using SGLT2 should contemplate alternative treatment protocols until their recovery from the disease.