Commentary: COVID-19 and diabetes mellitus: What we know, how our patients should be treated now, and what should happen next

Diabetes Mellitus and Pneumococcal Pneumonia

Currently, there are more than 500 million people suffering from diabetes around the world. People aged 65 years or older are the most affected by this disease, and it is estimated that approximately 96% of diabetes cases worldwide are type 2 diabetes. People with diabetes mellitus are at an increased risk of infections such as pneumonia, due to a series of factors that may contribute to immune dysfunction, including hyperglycemia, inhibition of neutrophil chemotaxis, impaired cytokine production, phagocytic cell dysfunction, altered T cell-mediated immune responses and the co-existence of chronic comorbidities. Rates of infection, hospitalization and mortality in diabetic patients are reported to be higher than in the general population. Research into the risk of infectious diseases such as pneumonia in these patients is very important because it will help improve their management and treatment.

Research Progress on the Weak Immune Response to the COVID-19 Vaccine in Patients with Type 2 Diabetes

Coronavirus Disease 2019 (COVID-19) is generally susceptible to the population, highly infectious, rapidly transmitted, and highly fatal. There is a lack of specific drugs against the virus at present and vaccination is the most effective strategy to prevent infection. However, studies have found that some groups, particularly patients with diabetes, show varying degrees of weak immune reactivity to various COVID-19 vaccines, resulting in poor preventive efficacy against the novel coronavirus in patients with diabetes. Therefore, in this study, patients with type 2 diabetes mellitus (T2DM) who had weak immune response to the COVID-19 vaccine in recent years were analyzed. This article reviews the phenomenon, preliminary mechanism, and related factors affecting weak vaccine response in patients with T2DM, which is expected to help in the development of new vaccines for high-risk groups for COVID-19.

Predictors of Telehealth Utilization and Subsequent Inpatient Stays and Emergency Visits During the COVID-19 Pandemic Among Patients with Type 2 Diabetes: Evidence from Louisiana

Objective: To understand which types of Medicare patients with diabetes disproportionately used telehealth during the coronavirus disease 2019 pandemic and how their characteristics mediated their inpatient and emergency department (ED) utilization. Methods: Logistic regression analyses were used to measure the associations between patient characteristics and telehealth utilization using electronic health records among Medicare patients with diabetes (n = 31,654). Propensity score matching was used to examine the relative impact of telehealth use in conjunction with race, ethnicity, and age on inpatient and ED outcomes. Results: Telehealth was associated with age (75-84 vs. 65-74; odds ratio [OR] = 0.810, p < 0.01), gender (female: OR = 1.148, p < 0.01), and chronic diseases (e.g., lung disease: OR = 1.142; p < 0.01). Black patients using telehealth were less likely to visit the ED (estimate = -0.018; p = 0.08), whereas younger beneficiaries using telehealth were less likely to experience an inpatient stay (estimate = -0.017; p = 0.06). Conclusions: Telehealth expansion particularly benefited the clinically vulnerable but saw uneven use and uneven benefit along sociodemographic lines. Clinical Trial Registration Number: NCT03136471.

Comparison of Hematological Parameters Between Survivors and Non-Survivors COVID-19 Patients in Saudi Arabia

Objective

Coronavirus disease 2019, caused by the severe acute respiratory syndrome coronavirus-2 (SARS-CoV-2), is a communicable disease transmitted through the respiratory route and bodily contact. The severity of infection and mortality rate of COVID-19 cases was significantly high in the initial stages of the pandemic. This study aims to investigate the hematological profile of COVID-19 survivors and non-survivors.

Methods

This is a single-center retrospective study. A total of 108 hospitalized patients with laboratory-confirmed COVID-19 at East Jeddah Hospital between April and August 2020 were categorized into two groups based on outcome as survivors (n = 54) and non-survivors (n = 54). Hematological parameters and clinical profiles were analyzed and compared between the two groups.

Results

The mean age and standard deviation of the survived (30-71 years) and non-survived (33-83) groups was 53 ± 10.8 and 57.9 ± 12.2 years, respectively, with no statistically significant difference in age between groups (p = 0.0513). Non-survivors had a significantly longer median length of stay in the intensive care unit (ICU) (7 days, IQR: 4.24 to 12) compared to survivors COVID-19 patients (5 days, IQR: 0 to 11.75) (p = 0.0151). For the survivors group, the participant's age positively correlated with the length of hospital stay (r(52) = 0.21, p = 0.0005) and ICU length of stay r(52) = 0.18, p = 0.001). The median red blood cells (RBC) counts were significantly higher in the survived group (4.56x109/L, IQR: 4.02 to 5.11) in comparison with the non-survived (4.23x109/L, IQR: 3.75 to 4.23) group (p = 0.0011). All COVID-19 patients exhibited lymphocytopenia and a significant negative correlation was observed between the lymphocyte values and length of hospital stay among the survived group (p < 0.001) as well as length of ICU stay among the survived group (p < 0.0480). Disease-related mortality was significantly associated with reduced white blood cells (WBCs) (8.5×109/L, IQR: 6.1 to 11.7) and reduced basophils (0.09%, IQR: 0.02 to 0.19). Additionally, statistically significant differences were found between the survived and non-survived groups with respect to prothrombin time (PT) (12.5 sec. vs 14 sec., p < 0.0001) and partial thromboplastin time (PTT) (31.8 sec. vs 40 sec., p = 0.0008).

Conclusion

Hematological parameters can serve as valuable indicators to identify patients with severe COVID-19 and expected poor-prognosis/outcomes upon hospital admission. Cell counts of lymphocytes, WBCs, basophils and parameters such as PT and PTT can serve as clinical indicators to assess disease severity and predict progression to critical illness.

Factors Related to Severity, Hospitalization, and Mortality of COVID-19 Infection among Patients with Autoimmune Diseases

Patients with an autoimmune disease could be at higher risk of a poor outcome when contracting COVID-19 infection due to aberrant immune responses and use of immunosuppressant therapies for chronic autoimmune treatment. Here, we conducted a retrospective study to identify the factors related to severity, hospitalization, and mortality among patients with autoimmune diseases. We found 165 cases of patients with pre-existing autoimmune diseases who had contracted COVID-19 between March 2020 and September 2022. Data on demographical characteristics; autoimmune diagnosis and treatment; COVID-19 vaccination status; and time, severity, and outcome of COVID-19 infection were collected. Most of the subjects were female (93.3%) and autoimmune diagnoses included systemic lupus erythematosus (54.5%), Sjogren's syndrome (33.5%), antiphospholipid syndrome (23%), vasculitis (5.5%), autoimmune thyroid disease (3.6%), rheumatoid arthritis (3.03%), and inflammatory bowel disease (3.03%) among other autoimmune diseases. There were four COVID-19-related deaths in this study. Factors associated with moderate to severe COVID-19 infection in patients with autoimmune diseases included not being vaccinated against COVID-19, taking a steroid of ≥10 mg prednisone-equivalent per day, and having a cardiovascular disease. Taking a steroid of ≥10 mg prednisone-equivalent per day was also associated with hospitalization in the event of COVID-19 infection, while cardiovascular diseases also showed a significant correlation to mortality in patients with autoimmune diseases who had been hospitalized with COVID-19 infection.

Telehealth and Medicare Type 2 Diabetes Care Outcomes: Evidence From Louisiana

BACKGROUND

At the onset of the COVID-19 pandemic, the Centers for Medicare and Medicaid Services broadened access to telehealth. This provided an opportunity to test whether diabetes, a risk factor for COVID-19 severity, can be managed with telehealth services.

OBJECTIVE

The objective of this study was to examine the impacts of telehealth on diabetes control.

RESEARCH DESIGN

A doubly robust estimator combined a propensity score-weighting strategy with regression controls for baseline characteristics using electronic medical records data to compare outcomes in patients with and without telehealth care. Matching on preperiod trajectories in outpatient visits and weighting by odds were used to ensure comparability between comparators.

SUBJECTS

Medicare patients with type 2 diabetes in Louisiana between March 2018 and February 2021 (9530 patients with a COVID-19 era telehealth visit and 20,666 patients without one).

MEASURES

Primary outcomes were glycemic levels and control [ie, hemoglobin A1c (HbA1c) under 7%]. Secondary outcomes included alternative HbA1c measures, emergency department visits, and inpatient admissions.

RESULTS

Telehealth was associated with lower pandemic era mean A1c values [estimate=-0.080%, 95% confidence interval (CI): -0.111% to -0.048%], which translated to an increased likelihood of having HbA1c in control (estimate=0.013; 95% CI: 0.002-0.024; P<0.023). Hispanic telehealth users had relatively higher COVID-19 era HbA1c levels (estimate=0.125; 95% CI: 0.044-0.205; P<0.003). Telehealth was not associated with differences in the likelihood of having an emergency department visits (estimate=-0.003; 95% CI: -0.011 to 0.004; P<0.351) but was associated with more the likelihood of having an inpatient admission (estimate=0.024; 95% CI: 0.018-0.031; P<0.001).

CONCLUSION

Telehealth use among Medicare patients with type 2 diabetes in Louisiana stemming from the COVID-19 pandemic was associated with relatively improved glycemic control.

Integrated Diabetes Self-Management (IDSM) mobile application to improve self-management and glycemic control among patients with Type 2 Diabetes Mellitus (T2DM) in Indonesia: A mixed methods study protocol

The number of patients with diabetes in Indonesia reach 19,47 million in 2021, mostly is caused by the adoption of sedentary and unhealthy lifestyles. Continuous self-management is important in diabetes care. It requires optimal coordination and communication between patients, families, and health care provider. The use of communication technology could be solution to the problem. This study aims to initiate an android-based mobile apps technology as a tool for patient, family, and healthcare provider to optimize patient with T2DM treatment. This study will be conducted in Public Health Centers (PHCs) in Yogyakarta using an exploratory sequential mixed-methods design which is divided into three phases. The first phase will use qualitative descriptive methods. Patients with T2DM, families, nurses, physicians and Health Social Security Agency officers in Indonesia will be involved in a focus group discussion (FGD) and in-depth interviews to understand their needs in optimizing the treatment. The second phase will be the development of an android-based application on the first phase results. The apps will be usability tested by involving experts (heuristic evaluation) and users (think aloud method) to ensure that the apps really meet targeted user's need. In the third phase, we will collect feedback from user after using this apps for three months. The effectiveness of the apps will be measured by self-management improvement and glycemic control of patients with T2DM. The non-equivalent control group design will be applied using a pre-repeated post-test control group. The result of this study will be an Android-based Application which will be called Integrated Diabetes Self-Management (IDSM) app to optimize the implementation of diabetes self-management which can improve glycemic control of patients with T2DM as one of the indicators of the Indonesian Chronic Disease Management Program at PHCs.

Evaluation of the Effect of Biochemistry Parameters on the Clinical Course in COVID-19 Patients Who Received Tocilizumab Treatment

OBJECTIVES

Patients who develop cytokine storm while they have coronavirus disease 2019 (COVID-19) experience more severe symptoms. This article aims to evaluate the effect of biochemical parameters on the clinical course of the disease in patients treated with tocilizumab (TCZ) due to cytokine storm.

METHODS

Medical documents of patients with COVID-19 were searched retrospectively. Patients who entered cytokine storm were classified as group 1 and divided into two subgroups as patients who were followed up in the ward and in the intensive care unit (ICU). Less severe COVID-19 patients who did not enter cytokine storm were included in the control group as group 2.

RESULTS

A total of 522 patients with COVID-19 infection were included in the study. The mean age was 62.0 ± 15.6 years, and the majority were male (64.4%). Hypertension and diabetes mellitus were the two most common diseases, seen in 50.8% and 29.9%, respectively. There were 392 patients with TCZ application (group 1) and 130 patients without TCZ (group 2). Significantly higher serum glucose, magnesium, and sodium and lower calcium levels were present in group 1 than in group 2 (<0.001). Hypocalcemia, hypernatremia, hypermagnesemia, and hyperkalemia were more frequently detected in the ICU compared with the patients treated in the wards (P = 0.001, P < 0.001, P = 0.039, and P < 0.001, respectively).

CONCLUSIONS

Following up closely electrolyte disturbances may support patient survival and decrease the probability of ICU necessity. This approach should be taken before the development of important disorders to be effective in the treatment process of the main disease.

COVID-19 and diabetes: Association intensify risk factors for morbidity and mortality

Diabetes is a condition that affects a large percentage of the population and it is the leading cause of a wide range of costly complications. Diabetes is linked to a multi-fold increase in mortality and when compared to non-diabetics, the intensity and prevalence of COVID-19 ailment among diabetic individuals are more. Since its discovery in Wuhan, COVID-19 has grown rapidly and shown a wide range of severity. Temperature, lymphopenia, non-productive cough, dyspnoea, and tiredness are recognized as the characteristic of individuals infected with COVID-19 disease. In COVID-19 patients, diabetes and other related comorbidities are substantial predictors of disease and mortality. According to a recent study, SARS-CoV-2 (the virus responsible for covid-19 disease) may also lead to direct pancreatic harm, which could aggravate hyperglycemia and potentially cause the establishment of diabetes in formerly non-diabetic individuals. This bidirectional association of COVID-19 and diabetes load the burden on health care professionals throughout the world. It is recommended that gliptin medications be taken moderately, blood glucose levels must be kept under control, ACE inhibitors should be used in moderation, decrease the number of avoidable hospitalizations, nutritional considerations, and some other prevention measures, such as immunization, are highly recommended. SARS-CoV-2 may cause pleiotropic changes in glucose homeostasis, which could exacerbate the pathophysiology of pre-existing diabetes or result in new disease processes.

Risk factors associated with in-hospital mortality patients with COVID-19 in Saudi Arabia

Risk factors for in-hospital mortality of COVID-19 patients in Saudi Arabia have not been well studied. Previous reports from other countries have highlighted the effect of age, gender, clinical presentation and health conditions on the outcome of COVID-19 patients. Saudi Arabia has a different epidemiological structure with a predominance of young population, which calls for separate study. The objective of this study is to assess the predictors of mortality among hospitalized patients with COVID-19 in Saudi Arabia. This is a retrospective observational cohort study of hospitalized adult COVID-19 patients at two tertiary hospitals in Saudi Arabia between May to July 2020. Electronic charts were retrospectively reviewed comparing survivors and non-survivors in terms of demographic and clinical variables and comorbid conditions. A total of 564 hospitalized patients with COVID-19 were included in the study. The overall in-hospital mortality rate was 20%. The non-survivors were significantly older than survivors (59.4 ± 13.7 years and 50.5 ± 13.9 years respectively P< 0.001). Diabetes mellitus, hypertension, heart failure and ischemic heart disease were more prevalent among non-survivors (P< 0.001). The mean values of glycosylated hemoglobin HgA1C, D-dimer, ferritin, lactate dehydrogenase LDH, Alanin aminotransferase ALT and creatinine were significantly higher among non-survivors (P < 0.05). Multivariate logistic regression analysis revealed that age (aOR = 1.04; 95% CI 1.02–1.08; P < 0.01), chronic kidney disease (aOR = 4.04; 95% CI 1.11–14.77; P < 0.05), acute respiratory distress syndrome ARDS (aOR = 14.53; 95% CI 5.42–38.69; P < 0.01), Mechanical Ventilation (aOR = 10.57; 95% CI 5.74–23.59; P < 0.01), Shock (aOR = 3.85; 95% CI 1.02–14.57; P < 0.05), admission to intensive care unit (ICU) (aOR = 0.12; 95% CI 0.04–0.33; P < 0.01) and length of stay (aOR = 0.96; 95% CI 0.93–0.99; P < 0.05) were significant contributors towards mortality. The in-hospital mortality rate of COVID-19 patients admitted to tertiary hospitals in Saudi Arabia is high. Older age, chronic kidney disease and ARDS were the most important predictors of mortality.

SARS-COV-2 in Type 2 Diabetic Patients: Possible Roles of Exercise Training as a Medicine

SARS-COV-2 is the novel type of beta coronavirus that was first evolved in December 2019 in Wuhan, China. People with type 2 diabetes are the most vulnerable group to SARS-COV-2 and its associated complications. Many factors such as medication, pathophysiologic-induced compensatory mechanisms, and alterations in protein expression and immune system function can all contribute to severe outcomes in diabetics. In this review article, we first described the possible mechanisms of increased risk and more severe complications rate of SARS-COV-2 in diabetic patients. Secondly, we discussed the crucial role of exercise in diabetic patients in balancing the RAS system (ACE2/ACE). Finally, we examine the possible roles of acute and chronic exercise in reducing SARS-COV-2 severe outcomes in people with diabetes in accordance with the latest evidence. We concluded that regular exercise (especially moderate-intensity exercise) can play a role in immune- enhancing, anti-inflammatory, and anti-oxidant activities and can balance the ACE2/ACE ratio (decreasing ANG2 levels) in diabetic subjects.

Identification of Crucial Genes and Key Functions in Type 2 Diabetic Hearts by Bioinformatic Analysis

Type 2 diabetes (T2D) patients with SARS-CoV-2 infection hospitalized develop an acute cardiovascular syndrome. It is urgent to elucidate underlying mechanisms associated with the acute cardiac injury in T2D hearts. We performed bioinformatic analysis on the expression profiles of public datasets to identify the pathogenic and prognostic genes in T2D hearts. Cardiac RNA-sequencing datasets from db/db or BKS mice (GSE161931) were updated to NCBI-Gene Expression Omnibus (NCBI-GEO), and used for the transcriptomics analyses with public datasets from NCBI-GEO of autopsy heart specimens with COVID-19 (5/6 with T2D, GSE150316), or dead healthy persons (GSE133054). Differentially expressed genes (DEGs) and overlapping homologous DEGs among the three datasets were identified using DESeq2. Gene Ontology (GO) and Kyoto Encyclopedia of Genes and Genomes analyses were conducted for event enrichment through clusterProfile. The protein-protein interaction (PPI) network of DEGs was established and visualized by Cytoscape. The transcriptions and functions of crucial genes were further validated in db/db hearts. In total, 542 up-regulated and 485 down-regulated DEGs in mice, and 811 up-regulated and 1399 down-regulated DEGs in human were identified, respectively. There were 74 overlapping homologous DEGs among all datasets. Mitochondria inner membrane and serine-type endopeptidase activity were further identified as the top-10 GO events for overlapping DEGs. Cardiac CAPNS1 (calpain small subunit 1) was the unique crucial gene shared by both enriched events. Its transcriptional level significantly increased in T2D mice, but surprisingly decreased in T2D patients with SARS-CoV-2 infection. PPI network was constructed with 30 interactions in overlapping DEGs, including CAPNS1. The substrates Junctophilin2 (Jp2), Tnni3, and Mybpc3 in cardiac calpain/CAPNS1 pathway showed less transcriptional change, although Capns1 increased in transcription in db/db mice. Instead, cytoplasmic JP2 significantly reduced and its hydrolyzed product JP2NT exhibited nuclear translocation in myocardium. This study suggests CAPNS1 is a crucial gene in T2D hearts. Its transcriptional upregulation leads to calpain/CAPNS1-associated JP2 hydrolysis and JP2NT nuclear translocation. Therefore, attenuated cardiac CAPNS1 transcription in T2D patients with SARS-CoV-2 infection highlights a novel target in adverse prognostics and comprehensive therapy. CAPNS1 can also be explored for the molecular signaling involving the onset, progression and prognostic in T2D patients with SARS-CoV-2 infection.

FACTORS ASSOCIATED WITH RESILIENCE IN PEOPLE WITH DIABETES DURING THE SOCIAL DISTANCING PERIOD IMPOSED BY THE COVID-19 PANDEMIC

ABSTRACT Objective: to verify the association of socioeconomic and clinical data and behavioral habits with the resilience level in people with Diabetes Mellitus during social distancing in the pandemic caused by the new coronavirus disease. Method: a cross-sectional, analytical and exploratory study. The population consisted of users monitored in the Family Health Strategy, diagnosed with Diabetes Mellitus, in the municipality of Cuité, Paraíba, Brazil. The sample consisted of 300 participants. The data were collected between November 2020 and February 2021 and operationalized through two forms: one containing socioeconomic and clinical aspects, as well as behavioral habits; and another that was part of the Connor Davidson Resilience Scale for Brazil, consisting of 25 items divided into four factors, namely: tenacity, adaptability, tolerance, dependence on external support, and intuition. In the bivariate analysis, the Pearson's Chi-square and Fisher's Exact tests were performed, and the prevalence ratio was calculated, along with the respective 95% confidence intervals. Finally, Poisson Regression with robust variance was applied. Results: the prevalence of having high resilience levels was 43% higher in people under 60 years old, 39% higher in Evangelicals, 36% higher in people who consumed alcoholic beverages and 29% higher in people who practiced some physical activity. Conclusion: an association was evidenced between socioeconomic/clinical data and behavioral habits and a high resilience level; such findings lead to the elaboration of inclusive actions during the pandemic, especially considering the emotional and social aspects, in order to suggest the creation of care strategies aimed at mental health.

COVID-19 in Patients with Diabetes: Clinical Course, Metabolic Status, Inflammation, and Coagulation Disorder

The aim of the investigation was to study the clinical course of COVID-19 in the presence of diabetes mellitus (DM) and elucidate possible mechanisms of their mutual aggravation.

Materials and Methods

The study included 64 patients with COVID-19; of them, 32 were with DM (main group) and 32 were DM-free (control group). The groups were formed according to the "case-control" principle. During hospitalization, the dynamics of clinical, glycemic, and coagulation parameters, markers of systemic inflammation, as well as kidney and liver functions were monitored and compared.

Results

Among patients with DM, the course of viral pneumonia was more severe, as evidenced by a 2.2-fold higher number of people with extensive (>50%) lung damage (p=0.05), an increased risk of death according to the CURB-65 algorithm (1.3-fold, p=0.043), and a longer duration of insufficient blood oxygen saturation (p=0.0004). With the combination of COVID-19 and DM, hyperglycemia is persistent, without pronounced variability (MAGE - 1.5±0.6 mmol/L), the levels of C-reactive protein (p=0.028), creatinine (p=0.035), and fibrinogen (p=0.013) are higher, manifestations of hypercoagulability persist longer, including slower normalization of antithrombin III (p=0.012), fibrinogen (p=0.037), and D-dimer (p=0.035).

Conclusion

The course of COVID-19 in patients with DM is associated with a high severity and extension of pneumonia, persistent decrease in oxygen supply, high hyperglycemia, accelerated renal dysfunction, systemic inflammation, and hypercoagulability.

Covid 19: Diet Composition and Health

The virus severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) causes the disease coronavirus disease 2019 (COVID-19). The cumulative number of cases reported globally is now nearly 197 million and the number of cumulative deaths is 4.2 million (26 July to 1 August 2021). Currently we are focusing primarily on keeping a safe distance from others, washing our hands, and wearing masks, and the question of the effects of diet and diet-dependent risk factors remains outside the center of attention. Nevertheless, numerous studies indicate that diet can play an important role in the course of COVID-19. In this paper, based on select scientific reports, we discuss the structure and replication cycle of SARS-CoV-2, risk factors, dietary standards for sick patients, and the roles of the microbiome and dietary components supporting the immune system in preventing COVID-19.

Major Insights in Dynamics of Host Response to SARS-CoV-2: Impacts and Challenges

The coronavirus disease 2019 (COVID-19), a pandemic declared by the World Health Organization on March 11, 2020, is caused by the infection of highly transmissible species of a novel coronavirus called severe acute respiratory syndrome coronavirus-2 (SARS-CoV-2). As of July 25, 2021, there are 194,372,584 cases and 4,167,937 deaths with high variability in clinical manifestations, disease burden, and post-disease complications among different people around the globe. Overall, COVID-19 is manifested as mild to moderate in almost 90% of the cases and only the rest 10% of the cases need hospitalization. However, patients with older age and those having different comorbidities have made worst the pandemic scenario. The variability of pathological consequences and clinical manifestations of COVID-19 is associated with differential host-SARS-CoV-2 interactions, which are influenced by the factors that originated from the SARS-CoV-2 and the host. These factors usually include the genomic attributes and virulent factors of the SARS-CoV-2, the burden of coinfection with other viruses and bacteria, age and gender of the individuals, different comorbidities, immune suppressions/deficiency, genotypes of major histocompatibility complex, and blood group antigens and antibodies. We herein retrieved and reviewed literatures from PubMed, Scopus, and Google relevant to clinical complications and pathogenesis of COVID-19 among people of different age, sex, and geographical locations; genomic characteristics of SARS-CoV-2 including its variants, host response under different variables, and comorbidities to summarize the dynamics of the host response to SARS-CoV-2 infection; and host response toward approved vaccines and treatment strategies against COVID-19. After reviewing a large number of published articles covering different aspects of host response to SARS-CoV-2, it is clear that one aspect from one region is not working with the scenario same to others, as studies have been done separately with a very small number of cases from a particular area/region of a country. Importantly, to combat such a pandemic as COVID-19, a conclusive understanding of the disease dynamics is required. This review emphasizes on the identification of the factors influencing the dynamics of host responses to SARS-CoV-2 and offers a future perspective to explore the molecular insights of COVID-19.

Immunometabolic bases of type 2 diabetes in the severity of COVID-19

The outbreak of coronavirus disease 2019 (COVID-19) is caused by the novel severe acute respiratory syndrome coronavirus-2 (SARS-CoV-2). COVID-19 and type 2 diabetes (T2D) have now merged into an ongoing global syndemic that is threatening the lives of millions of people around the globe. For this reason, there is a deep need to understand the immunometabolic bases of the main etiological factors of T2D that affect the severity of COVID-19. Here, we discuss how hyperglycemia contributes to the cytokine storm commonly associated with COVID-19 by stimulating monocytes and macrophages to produce interleukin IL-1β, IL-6, and TNF-α in the airway epithelium. The main mechanisms through which hyperglycemia promotes reactive oxygen species release, inhibition of T cell activation, and neutrophil extracellular traps in the lungs of patients with severe SARS-CoV-2 infection are also studied. We further examine the molecular mechanisms by which proinflammatory cytokines induce insulin resistance, and their deleterious effects on pancreatic β-cell exhaustion in T2D patients critically ill with COVID-19. We address the effect of excess glucose on advanced glycation end product (AGE) formation and the role of AGEs in perpetuating pneumonia and acute respiratory distress syndrome. Finally, we discuss the contribution of preexisting endothelial dysfunction secondary to diabetes in the development of neutrophil trafficking, vascular leaking, and thrombotic events in patients with severe SARS-CoV-2 infection. As we outline here, T2D acts in synergy with SARS-CoV-2 infection to increase the progression, severity, and mortality of COVID-19. We think a better understanding of the T2D-related immunometabolic factors that contribute to exacerbate the severity of COVID-19 will improve our ability to identify patients with high mortality risk and prevent adverse outcomes.

Glucagon Reduces Neutrophil Migration and Increases Susceptibility to Sepsis in Diabetic Mice

Sepsis is one of the most common comorbidities observed in diabetic patients, associated with a deficient innate immune response. Recently, we have shown that glucagon possesses anti-inflammatory properties. In this study, we investigated if hyperglucagonemia triggered by diabetes might reduce the migration of neutrophils, increasing sepsis susceptibility. 21 days after diabetes induction by intravenous injection of alloxan, we induced moderate sepsis in Swiss-Webster mice through cecum ligation and puncture (CLP). The glucagon receptor (GcgR) antagonist des-his1-[Glu9]-glucagon amide was injected intraperitoneally 24h and 1h before CLP. We also tested the effect of glucagon on CXCL1/KC-induced neutrophil migration to the peritoneal cavity in mice. Neutrophil chemotaxis in vitro was tested using transwell plates, and the expression of total PKA and phospho-PKA was evaluated by western blot. GcgR antagonist restored neutrophil migration, reduced CFU numbers in the peritoneal cavity and improved survival rate of diabetic mice after CLP procedure, however, the treatment did no alter hyperglycemia, CXCL1/KC plasma levels and blood neutrophilia. In addition, glucagon inhibited CXCL1/KC-induced neutrophil migration to the peritoneal cavity of non-diabetic mice. Glucagon also decreased the chemotaxis of neutrophils triggered by CXCL1/KC, PAF, or fMLP in vitro. The inhibitory action of glucagon occurred in parallel with the reduction of CXCL1/KC-induced actin polymerization in neutrophils in vitro, but not CD11a and CD11b translocation to cell surface. The suppressor effect of glucagon on CXCL1/KC-induced neutrophil chemotaxis in vitro was reversed by pre-treatment with GcgR antagonist and adenylyl cyclase or PKA inhibitors. Glucagon also increased PKA phosphorylation directly in neutrophils in vitro. Furthermore, glucagon impaired zymosan-A-induced ROS production by neutrophils in vitro. Human neutrophil chemotaxis and adherence to endothelial cells in vitro were inhibited by glucagon treatment. According to our results, this inhibition was independent of CD11a and CD11b translocation to neutrophil surface or neutrophil release of CXCL8/IL-8. Altogether, our results suggest that glucagon may be involved in the reduction of neutrophil migration and increased susceptibility to sepsis in diabetic mice. This work collaborates with better understanding of the increased susceptibility and worsening of sepsis in diabetics, which can contribute to the development of new effective therapeutic strategies for diabetic septic patients.

Diabetes is associated with increased risk for in-hospital mortality in patients with COVID-19: a systematic review and meta-analysis comprising 18,506 patients

PURPOSE

Infectious diseases are more frequent and can be associated with worse outcomes in patients with diabetes. The aim of this study was to systematically review and conduct a meta-analysis of the available observational studies reporting the effect of diabetes on mortality among hospitalized patients with COVID-19.

METHODS

The Medline, Embase, Google Scholar, and medRxiv databases were reviewed for identification of eligible studies. A random effects model meta-analysis was used, and I2 was utilized to assess the heterogeneity. In-hospital mortality was defined as the endpoint. Sensitivity, subgroup, and meta-regression analyses were performed.

RESULTS

A total of 18,506 patients were included in this meta-analysis (3713 diabetics and 14,793 non-diabetics). Patients with diabetes were associated with a higher risk of death compared with patients without diabetes (OR 1.65; 95% CI 1.35-1.96; I2 77.4%). The heterogeneity was high. A study-level meta-regression analysis was performed for all the important covariates, and no significant interactions were found between the covariates and the outcome of mortality.

CONCLUSION

This meta-analysis shows that that the likelihood of death seems to be higher in diabetic patients hospitalized with COVID-19 compared with non-diabetic patients. Further studies are needed to assess whether this association is independent or not, as well as to investigate the role of adequate glycemic control prior to infection with COVID-19.

The complex combination of COVID-19 and diabetes: pleiotropic changes in glucose metabolism

PURPOSE

Angiotensin converting enzyme 2 (ACE2) is the door for SARS-CoV-2, expressed in critical metabolic tissues. So, it is rational that the new virus causes pleiotropic alterations in glucose metabolism, resulting in the complication of pre-existing diabetes's pathophysiology or creating new disease mechanisms. However, it seems that less attention has been paid to this issue. This review aimed to highlight the importance of long-term consequences and pleiotropic alterations in glucose metabolism following COVID-19 and emphasize the need for basic and clinical research in metabolism and endocrinology.

RESULTS

SARS-CoV-2 shifts cellular metabolism from oxidative phosphorylation to glycolysis, which leads to a decrease in ATP generation. Together with metabolic imbalance, the impaired immune system elevates the susceptibility of patients with diabetes to this deadly virus. SARS-CoV-2-induced metabolic alterations in immune cells can result in hyper inflammation and a cytokine storm. Metabolic dysfunction may affect therapies against SARS-CoV-2 infection. The effective control of metabolic complications could prove useful therapeutic targets for combating COVID-19. It is also necessary to understand the long-term consequences that will affect patients with diabetes who survived COVID-19.

CONCLUSIONS

Since the pathophysiology of COVID-19 is still mostly unknown, identifying the metabolic mechanisms contributing to its progression is essential to provide specific ways to prevent and improve this dangerous virus's detrimental effects. The findings show that the new virus may induce new-onset diabetes with uncertain metabolic and clinical features, supporting a potential role of COVID-19 in the development of diabetes.

Dietary obesity in mice is associated with lipid deposition and metabolic shifts in the lungs sharing features with the liver

Obesity is associated with both chronic and acute respiratory illnesses, such as asthma, chronic obstructive pulmonary disease (COPD) or increased susceptibility to infectious diseases. Anatomical but also systemic and local metabolic alterations are proposed contributors to the pathophysiology of lung diseases in the context of obesity. To bring perspective to this discussion, we used NMR to compare the obesity-associated metabolomic profiles of the lung with those of the liver, heart, skeletal muscles, kidneys, brain and serum from male C57Bl/6J mice fed with a high-fat and high-sucrose (HFHSD) diet vs. standard (SD) chow for 14 weeks. Our results showed that the lung was the second most affected organ after the liver, and that the two organs shared reduced one-carbon (1C) metabolism and increased lipid accumulation. Altered 1C metabolism was found in all organs and in the serum, but serine levels were increased only in the lung of HFHSD compared to SD. Lastly, tricarboxylic acid (TCA)-derived metabolites were specifically and oppositely regulated in the serum and kidneys but not in other organs. Collectively, our data highlighted that HFHSD induced specific metabolic changes in all organs, the lung being the second most affected organ, the main alterations affecting metabolite concentrations of the 1C pathway and, to a minor extend, TCA. The absolute metabolite quantification performed in this study reveals some metabolic specificities affecting both the liver and the lung, that may reveal common metabolic determinants to the ongoing pathological process.

Developing the hypoglycemia-nursing early warning score system (Hy-NEWSS): A pilot study

Background: Severe hypoglycemia occurs in 6% of type 2 DM patients with a 6 to 7% mortality rate. Amidst the COVID-19 pandemic, there has been a higher rate of fatality among diabetes patients, at least 22% of COVID-19 deaths in Wuhan, China. Furthermore, the condition impairs physiological defense against recurrent hypoglycemia in the future. Accordingly, the innovation in this study aims to prevent severe hypoglycemia among type 2 patients through early risk screening, the use of preventative protocols, and patient and family empowerment. This intervention bundle is called Hypoglycemia-Nursing Early Warning Score System (Hy-NEWSS).

Design and Methods: The innovation was implemented in inpatient and outpatient settings, within two weeks with the following sequence: i) internal training, ii) Hy-NEWSS implementation, iii) outcomes evaluation.

Results: Of the twenty-eight patients involved in the study, 3 patients (19%) had a high risk of hypoglycemia, while the remaining had a low risk for the condition. However, at the end of the study there was no event of severe hypoglycemia (0%), and only 1 event (6.33%) of mild hypoglycemia. The results also showed that the accuracy of nurses in implementing the protocols was 93% and that during the evaluation, 95.62% of the responses of the nurses from the inpatient and outpatient settings were positive. Finally, the scores of the sensitivity and specificity evaluation were 99% and 88%, respectively.

Conclusion: It may be concluded from this initial study that Hy-NEWSS is effective in preventing severe hypoglycemia, accurate in identifying patient risk level for the condition, and has high applicability to be implemented in hospital settings.

Impact of diabetes on COVID-19-related in-hospital mortality: a retrospective study from Northern Italy

PURPOSE

The purpose of this study was to evaluate the impact of pre-existing diabetes on in-hospital mortality in patients admitted for Coronavirus Disease 2019 (COVID-19).

METHODS

This is a single center, retrospective study conducted at Policlinico di Monza hospital, located in the Lombardy region, Northern Italy. We reviewed medical records of 373 consecutive adult patients who were hospitalized with COVID-19 between February 22 and May 15, 2020. Data were collected on diabetes status, comorbid conditions and laboratory findings. Multivariable logistic regression was performed to evaluate the effect of diabetes on in-hospital mortality after adjustment for potential confounding variables.

RESULTS

Mean age of the patients was 72 ± 14 years (range 17-98), 244 (65.4%) were male and 69 (18.5%) had diabetes. The most common comorbid conditions were hypertension (237 [64.8%]), cardiovascular disease (140 [37.7%]) and malignant neoplasms (50 [13.6%]). In-hospital death occurred in 142 (38.0%) patients. In the multivariable model older age (Relative Risk [RR] 1.06 [1.04-1. 09] per year), diabetes (RR 1.56 [1.05-2.02]), chronic obstructive pulmonary disease (RR 1.82 [1.13-2.35]), higher values of lactic dehydrogenase and C-reactive protein were independently associated with in-hospital mortality.

CONCLUSION

In this retrospective single-center study, diabetes was independently associated with a higher in-hospital mortality. More intensive surveillance of patients with this condition is to be warranted.

The Impact of Education, COVID-19 and Risk Factors on the Quality of Life in Patients with Type 2 Diabetes

BACKGROUND

The aim of this study was to examine the impact of education, coronavirus disease 2019 (COVID-19), and risk factors on the quality of life in patients with type 2 diabetes.

METHODS

A prospective study was conducted in three phases: before education, after education, and in the period of pandemic coronavirus disease 2019 (COVID-19). The subjects were diabetics on oral therapy. To determine the quality of life index, a standardized Ferrans and Powers survey questionnaire was used.

RESULTS

A total of 205 participants took part in the study, of which 111 (54.1%) were men and 94 (46%) women. Participants were enrolled in the study between January 2019 and September 2020. Glycated hemoglobin values were significantly higher before education compared to post-education and at the time of COVID-19 (Friedman test, p = 0.002), and body mass index was significantly lower after education compared to values before education (Friedman test, p = 0.008). The quality of life was significantly lower in all domains in the COVID-19 period (Friedman test, p < 0.001).

CONCLUSIONS

A significant predictor of worse assessment of overall quality of life was male gender and rural place of residence. Disease duration of up to 5 years was a significant predictor of worse assessment in the psychological/spiritual domain, while being married was a predictor of better assessment of the quality of life in the family domain. The education of diabetics brought an increase in the health and quality of life while the coronavirus disease pandemic had negative consequences on the same parameters. We consider it necessary to systematically educate diabetics about the comorbidity of COVID-19.

Risk factors for severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) infections: a nationwide population-based study

Background

The coronavirus disease 2019 (COVID-19) has rapidly turned into a public health emergency worldwide; however, the risk factors for infection with severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) have not been well-described. We aimed to identify the clinical risk factors for SARS-CoV-2 infections in Korea, where social distancing and face masks have been strongly recommended.

Methods

The data of individuals who underwent the reverse transcription polymerase chain reaction test for SARS-CoV-2 between January 3 and May 31, 2020 were retrieved from the Health Insurance Review and Assessment Service dataset. We used multivariable logistic regression models to identify the risk factors for SARS-CoV-2 infections in the population.

Results

We retrieved the results of 219,729 SARS-CoV-2 tests, of which 7,333 were positive results. In the multivariable analysis, female sex was associated with a higher risk of testing positive for SARS-CoV-2 [odds ratio (OR) =1.30, 95% confidence interval (CI): 1.24–1.37, P<0.0001]. Additionally, populations living in areas that had large outbreaks of COVID-19 were at an increased risk of testing positive for SARS-CoV-2 (OR =6.87, 95% CI: 6.55–7.21, P<0.0001). The odds of a positive test were greater for the Medical Aid beneficiaries (OR =1.99, 95% CI: 1.82–2.18, P<0.0001) than for the National Health Insurance beneficiaries. Individuals with diabetes mellitus (DM) were more likely to test positive (OR =1.15, 95% CI: 1.07–1.24, P=0.0002).

Conclusions

Women, individuals living in areas with large outbreaks of COVID-19, Medical Aid beneficiaries, and individuals with DM might have greater risks of contracting SARS-CoV-2 infections despite practicing social distancing and using face masks.

Determinants of Dietary Adherence Among Type 2 Diabetes Patients Aimed COVID-19 at the University of Gondar Comprehensive Specialized Hospital

BACKGROUND

People with diabetes are proving to be at higher risk of severe coronavirus infection than the general population. Non-adherence to dietary recommendation is a critical problem in individuals with type 2 diabetes; particularly, in the era of coronavirus. This study aimed to explore determinants that affect adherence to the recommendations of diet during coronavirus pandemic.

OBJECTIVE

This study aimed to determine dietary adherence among diabetes type 2 patients aimed at coronavirus pandemic and its associated factors.

METHODS

An institutional-based cross-sectional study was conducted among type 2 diabetes patients on follow-up. Systematic random sampling was employed to get representative study participants. Dietary adherence was dichotomized and with logistic regression analysis to assess the association between dependent and explanatory variables. The degree of association was interpreted by using both crude odds ratios and adjusted odds ratios with 95% confidence intervals and P-values <0.05 were considered statistically significant.

RESULTS

In this study, 576 participants took part with a 99.3% response rate. The dietary adherence was found to be 48.3% with [95% CI (44.1-52.4)]. The educational level of College and above was [AOR=3.64, 95% CI (1.59-8.34)], being a government-employed [AOR=2.38, 95% CI (1.13-4.99)], being urban [AOR=1.30, 95% CI (1.09-2.42)], family size of less than five [AOR=1.27, 95% CI (1.08-1.97)], medium level of wealth-status[AOR=2.26, 95% CI (1.67-4.54)], family history of diabetes [AOR=2.18, 95% CI (1.14-4.19)], duration of diabetes more than 15 years [AOR=5.39, 95% CI (1.57-18.52)], and knowledge related to coronavirus [AOR=4.33,95% CI (2.71-6.92)] were significantly associated with adherence to the dietary recommendation.

CONCLUSION

The dietary adherence was relatively low aimed at coronavirus pandemic. Knowledge about COVID-19 was found significantly associated with dietary adherence.

RECOMMENDATIONS

There has to be a strong commitment to aware the community to minimize the risk of coronavirus severity among diabetes patients. This could be through adherence to dietary recommendations of particularly in the era of coronavirus pandemic.

COVID-19's toll on the elderly and those with diabetes mellitus - Is vitamin B12 deficiency an accomplice?

COVID-19 exacts a disproportionate toll on both the elderly and those with diabetes; these patients are more likely to require costly intensive care, longer hospitalisation, and die from complications. Nations would thus find it extremely difficult to either lift or sustain socially, economically, and politically damaging restrictions that keep this group of people safe. Without a vaccine, there is thus an urgent need to identify potential modifiable risk factors which can help manage overall fatality or recovery rates. Case fatality rates are highly variable between (and even within) nations; nutritional differences have been proposed to account significantly for this disparity. Indeed, vitamin B12 deficiency is a common denominator between the elderly and those with diabetes. The question on hand thus lies on whether managing B12 deficiencies will impact COVID-19 fatality outcome or recovery rates. Herein, we review the latest evidence that shows that B12 deficiency associates in multiple areas very similar to where COVID-19 exerts its damaging effects: immunologically; microbiologically; haematologically; and through endothelial cell signalling-supporting the hypothesis that B12 deficiency is a potential modifiable risk factor in our fight against COVID-19.

People living with type 1 diabetes point of view in COVID-19 times (COVIDT1 study): Disease impact, health system pitfalls and lessons for the future

AIMS

To analyse the effects of confinement among people with type 1 diabetes (T1D) and their caregivers over the course of the COVID-19 crisis and to evaluate contemporary changes in medical assistance and patient preferences.

METHODS

An observational cross-sectional study designed as a self-reported web-based survey was conducted over the course of the COVID-19 pandemic.

RESULTS

A total of 769 subjects participated in the survey (603 people with T1D and 166 caregivers). Changes in glycaemic control were reported in 66% of cases, weight gain in 40.4% of cases and decreased exercise levels in 65.4% of cases. Of the cohort, 53% maintained contact with the healthcare team, and 23% received specific information related to COVID-19. Emotional support was requested by 17% of respondents. Regarding telemedicine, 97.9% agreed with its use with the following preferences regarding the future: telephone call (84.5%), video-call (60.6%) and platform devices (39.7%).

CONCLUSIONS

Over the course of the COVID-19 pandemic, at least two-thirds of people with T1D underwent changes in the management of their condition. Almost all participants agreed with the concept of telemedicine, favouring telephone and video calls as their preferred means of communication.

Diabetes Mellitus and COVID-19: Associations and Possible Mechanisms

Coronavirus disease 2019 (COVID-19) is a recently emerged disease with formidable infectivity and high mortality. Emerging data suggest that diabetes is one of the most prevalent comorbidities in patients with COVID-19. Although their causal relationship has not yet been investigated, preexisting diabetes can be considered as a risk factor for the adverse outcomes of COVID-19. Proinflammatory state, attenuation of the innate immune response, possibly increased level of ACE2, along with vascular dysfunction, and prothrombotic state in people with diabetes probably contribute to higher susceptibility for SARS-CoV-2 infection and worsened prognosis. On the other hand, activated inflammation, islet damage induced by virus infection, and treatment with glucocorticoids could, in turn, result in impaired glucose regulation in people with diabetes, thus working as an amplification loop to aggravate the disease. Therefore, glycemic management in people with COVID-19, especially in those with severe illness, is of considerable importance. The insights may help to reduce the fatality in the effort against COVID-19.

Multivalent nanomedicines to treat COVID-19: A slow train coming

The high transmission rate and serious consequences of the unprecedented COVID-19 pandemic make it challenging and urgent to identify viral pathogens and understand their intrinsic resistance mechanisms, to pave the way for new approaches to combat severe acute respiratory syndrome coronavirus-2 (SARS-CoV-2). Multivalent interactions are responsible for performing a broad range of biological functions in normal cells, such as cell-cell communication and adhesion. Multivalency underlies the reversibility of ligand-receptor interactions during infections. Previous studies into multivalent nanomedicines used against viruses, have revealed their ability, not only to probe the molecular processes of viral infections, but also to target pathogen-host cell binding with minimal collateral damage to normal cells. Nanomedicines are comparable in size to viruses and to cell receptor complexes (that mediate viral uptake), and can function as safe and accurate armoured vehicles to facilitate the transport of anti-viral drugs. Multivalent nanomedicines can be designed to avoid binding to extracellular serum proteins, and ultimately lead to destruction of the viruses. This brief perspective highlights the potential of innovative smart and safe multivalent nanomedicines that could target multiple viral factors involved in infections at cellular levels. For instance it is possible to target viral spike protein mediated entry pathways, as well as viral replication and cell lysis. Nanomedicine-based approaches could open new opportunities for anti-coronavirus therapies.

A brief analysis and hypotheses about the risk of COVID-19 for people with type 1 and type 2 diabetes mellitus

COVID-19 is an infectious respiratory disease which firstly occurred in Wuhan, China and evolved rapidly around the globe. The causative pathogen is a novel coronavirus called SARS-CoV-2 with genomic similarities with SARS-CoV and MERS-CoV. The disease is transmitted among humans either through direct contact or via droplets from sneeze or cough. Most infected persons remain asymptomatic or mildly symptomatic, but some patients may develop severe clinical features, including pneumonia, respiratory failure, sepsis and even death. People of advanced age and/or with underlying diseases (including diabetes mellitus) are at greater risk. The innate and adaptive immune system are responsible for protecting the body against viral infection. Nevertheless, it is assumed that SARS-CoV-2 interferes with the immune system through immunomodulating mechanisms which intensify its pathogenesis. A delayed or reduced response of the innate immune system is critical for the development of pathogenesis of the virus. People with diabetes are more likely to develop severe symptoms of COVID-19. The present article speculates that special aspects of the immune dysfunction caused by chronic hyperglycaemia is the main reason for this susceptibility.

The dark side of the spoon - glucose, ketones and COVID-19: a possible role for ketogenic diet?

The novel coronavirus disease (COVID-19) is posing a serious challenge to the health-care systems worldwide, with an enormous impact on health conditions and loss of lives. Notably, obesity and its related comorbidities are strictly related with worse clinical outcomes of COVID-19 disease. Recently, there is a growing interest in the clinical use of ketogenic diets (KDs), particularly in the context of severe obesity with related metabolic complications. KDs have been proven effective for a rapid reduction of fat mass, preserving lean mass and providing an adequate nutritional status. In particular, the physiological increase in plasma levels of ketone bodies exerts important anti-inflammatory and immunomodulating effects, which may reveal as precious tools to prevent infection and potential adverse outcomes of COVID-19 disease. We discuss here the importance of KDs for a rapid reduction of several critical risk factors for COVID-19, such as obesity, type 2 diabetes and hypertension, based on the known effects of ketone bodies on inflammation, immunity, metabolic profile and cardiovascular function. We do believe that a rapid reduction of all modifiable risk factors, especially obesity with its metabolic complications, should be a pillar of public health policies and interventions, in view of future waves of SARS-CoV-2 infection.

Cardiovascular Disease and SARS-CoV-2: the Role of Host Immune Response Versus Direct Viral Injury

The 2019 novel coronavirus [2019-nCoV], which started to spread from December 2019 onwards, caused a global pandemic. Besides being responsible for the severe acute respiratory syndrome 2 [SARS-CoV-2], the virus can affect other organs causing various symptoms. A close relationship between SARS-CoV-2 and the cardiovascular system has been shown, demonstrating an epidemiological linkage between SARS-CoV-2 and cardiac injury. There are emerging data regarding possible direct myocardial damage by 2019-nCoV. In this review, the most important available evidences will be discussed to clarify the precise mechanisms of cardiovascular injury in SARS-CoV-2 patients, even if further researches are needed.

Predictors of mortality in patients with COVID-19-a systematic review

Introduction

In the current COVID-19 pandemic, disease diagnosis is essential for optimal management and timely isolation of infected cases in order to prevent further spread. The aim of this study was to systematically review the assessment of risk and model the predictors of mortality in COVID-19 patients.

Methods

A systematic search was conducted of PubMed, Scopus, Embase, Google Scholar, and Web of Science databases. Variables associated with hospital mortality using bivariate analysis were included as potential independent predictors associated with mortality at the p < 0.05 levels.

Results

We included 114 studies accounting for 310,494 patients from various parts of the world. For the purpose of this analysis, we set a cutoff point of 10% for the mortality percentages. High mortality rates were defined as higher than 10% of confirmed positive cases and were given a score of two, while low mortality (<10%) was assigned the score of one. We then analyzed the associations between 72 variables and the observed mortality rates. These variables included a large range of related variables such as demographics, signs and symptoms and related morbidities, vital signs, laboratory findings, imaging studies, underlying diseases, and the status of countries' income, based on the United Nation's classifications.

Conclusion

Findings suggest that older age, hypertension, and diabetes mellitus conferred a significant increased risk of mortality among patients with COVID-19. In the multivariate analysis, only diabetes mellitus demonstrated an independent relationship with increased mortality. Further studies are needed to ascertain the relationship between possible risk factors with COVID-19 mortality.

Impact of COVID-19 Lockdown on Glycemic Control in Adults with Type 1 Diabetes Mellitus

Aim

To examine the impact of the lockdown caused by the COVID-19 pandemic on both the glycemic control and the daily habits of a group of patients with type 1 diabetes mellitus (T1DM) using flash continuous glucose monitoring devices (flash CGMs).

Methods

Retrospective analysis based on all the information gathered in virtual consultations from a cohort of 50 adult patients with T1DM with follow-up at our site. We compared their CGM metrics during lockdown with their own previous data before the pandemic occurred, as well as the potential psychological and therapeutic changes.

Results

We observed a reduction of average glucose values: 160.26 ± 22.55 mg/dL vs 150 ± 20.96 mg/dL, P = .0009; estimated glycosylated hemoglobin: 7.21 ± 0.78% vs 6.83 ± 0.71%, P = .0005; glucose management indicator 7.15 ± 0.57% vs 6.88 ± 0.49%; P = .0003, and glycemic variability: 40.74 ± 6.66 vs 36.43 ± 6.09 P < .0001. Time in range showed an improvement: 57.46 ± 11.85% vs a 65.76 ± 12.09%, P < .0001, without an increase in percentage of time in hypoglycemia.

Conclusions

COVID-19 lockdown was associated with an improvement in glycemic control in patients with T1DM using CGMs.

Managing Diabetes During the COVID-19 Pandemic

The coronavirus disease 2019 (COVID-19) pandemic has affected almost every country in the world and has changed the way we access healthcare. People with pre-existing conditions, such as diabetes, are at high risk of a severe disease course and it is essential that, as well as good hygiene and social distancing measures, blood glucose is carefully monitored, as chronic hyperglycaemia can lead to immune dysfunction. People with diabetes should be encouraged to continue medication prescribed for hypertension, diabetes or dyslipidaemia. Furthermore, patients with diabetes and COVID-19 infection should follow their usual antidiabetic treatment with the exception of sodium-glucose cotransporter-2 inhibitors. As the current pandemic situation has rendered some patients unable to access routine healthcare, telehealth may help those with travel restrictions.

Making progress in nonalcoholic fatty liver disease (NAFLD) as we are transitioning from the era of NAFLD to dys-metabolism associated fatty liver disease (DAFLD)

• This is a special issue of “Metabolism” dedicated to nonalcoholic fatty liver disease. • Experts in the field provide an overview of recent progress and developments in NAFLD and offer their expert opinion on future directions. • NAFLD remains a highly prevalent disease without an approved treatment.

Distinguishable Immunologic Characteristics of COVID-19 Patients with Comorbid Type 2 Diabetes Compared with Nondiabetic Individuals

Background

COVID-19 caused by severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) has threatened every civilian as a global pandemic. The immune system poses the critical interactive chain between the human body and the virus. Here, we make efforts to examine whether comorbidity with type 2 diabetes (T2D) affects the immunological response in COVID-19 patients.

Methods

We conducted a retrospective pilot study investigating immunological characteristics of confirmed cases of COVID-19 with or without comorbid T2D. Two subcohorts of sex- and age-matched participants were eligible for data analysis, of which 33 participants were with T2D and the remaining 37 were nondiabetic (NDM). Cellular immunity was assessed by flow cytometric determination of surface markers including CD3, CD4, CD8, CD19, CD16, and CD56 in peripheral blood. Levels of C reactive protein, immunoglobulin (IgG, IgM, IgA, and IgE), and complements (C3, C4) were detected by rate nephelometry immunoassay. And Th1/Th2 cytokines (IL-2, IL-4, IL-6, IL-10, TNF-α, and IFN-γ) were detected by Cytometric Bead Array.

Results

Neutrophil counts were found to be significantly higher in the T2D group than in the NDM group and had a significant relevance with clinical severity. Lymphocyte frequencies showed no significant differences in the two groups. However, the proportions and absolute counts of T, Tc, Th, and NK cells decreased in both groups to different degrees. An abnormal increase in neutrophil count and a decrease in lymphocyte subpopulations may represent risk factors of COVID-19 severity. The level of IgG, IgM, IgA, C3, and C4 showed no significant difference between the two groups, while the IgE levels were higher in the T2D group than in the NDM group (p < 0.05). Th1 cytokines including IFN-γ, TNF-α, and IL-6, as well as CRP, appeared significantly higher in the T2D group.

Conclusions

The COVID-19 patients comorbid with T2D demonstrated distinguishable immunological parameters, which represented clinical relevancies with the predisposed disease severity in T2D.

COVID-19: Proposing a Ketone-Based Metabolic Therapy as a Treatment to Blunt the Cytokine Storm

Human SARS-CoV-2 infection is characterized by a high mortality rate due to some patients developing a large innate immune response associated with a cytokine storm and acute respiratory distress syndrome (ARDS). This is characterized at the molecular level by decreased energy metabolism, altered redox state, oxidative damage, and cell death. Therapies that increase levels of (R)-beta-hydroxybutyrate (R-BHB), such as the ketogenic diet or consuming exogenous ketones, should restore altered energy metabolism and redox state. R-BHB activates anti-inflammatory GPR109A signaling and inhibits the NLRP3 inflammasome and histone deacetylases, while a ketogenic diet has been shown to protect mice from influenza virus infection through a protective γδ T cell response and by increasing electron transport chain gene expression to restore energy metabolism. During a virus-induced cytokine storm, metabolic flexibility is compromised due to increased levels of reactive oxygen species (ROS) and reactive nitrogen species (RNS) that damage, downregulate, or inactivate many enzymes of central metabolism including the pyruvate dehydrogenase complex (PDC). This leads to an energy and redox crisis that decreases B and T cell proliferation and results in increased cytokine production and cell death. It is hypothesized that a moderately high-fat diet together with exogenous ketone supplementation at the first signs of respiratory distress will increase mitochondrial metabolism by bypassing the block at PDC. R-BHB-mediated restoration of nucleotide coenzyme ratios and redox state should decrease ROS and RNS to blunt the innate immune response and the associated cytokine storm, allowing the proliferation of cells responsible for adaptive immunity. Limitations of the proposed therapy include the following: it is unknown if human immune and lung cell functions are enhanced by ketosis, the risk of ketoacidosis must be assessed prior to initiating treatment, and permissive dietary fat and carbohydrate levels for exogenous ketones to boost immune function are not yet established. The third limitation could be addressed by studies with influenza-infected mice. A clinical study is warranted where COVID-19 patients consume a permissive diet combined with ketone ester to raise blood ketone levels to 1 to 2 mM with measured outcomes of symptom severity, length of infection, and case fatality rate.

Prevalence, clinical manifestations, and biochemical data of type 2 diabetes mellitus versus nondiabetic symptomatic patients with COVID-19: A comparative study

BACKGROUND

There is a scarcity of data regarding the effect of Type 2 diabetes mellitus (T2DM) and associated comorbidities on the clinical presentation and outcome of symptomatic patients with -COVID-19 infection in comparison with non-diabetic patients.

AIM OF THE STUDY

We described and compared the clinical presentation and radiological and hematological data of a cohort of symptomatic COVID19 positive T2DM diabetic patients (n = 59) versus another cohort of non-diabetic symptomatic COVID19 positive patients (n =244) diagnosed at the same time from January 2020 to May 2020. Associated comorbidities were -assessed, and the Charlson Comorbidity Index was calculated. The outcomes including duration of hospitalization, duration of Intensive Care Unit (ICU) stay, duration of mechanical ventilation, and duration of O2 -supplementation were assessed.

RESULTS

Prevalence of T2DM in symptomatic COVID19 positive patients was 59/303 (=19.5%).  Diabetic patients had higher prevalence of hypertension, chronic kidney disease (CKD) and cardiac dysfunction [coronary heart disease (CHD)], and congestive heart failure (CHF). Charlson Comorbidity score was significantly higher in the T2DM patients (2.4± 1.6) versus the non-diabetic -patients (0.28 ± 0.8; p: < 0.001). Clinically and radiologically, T2DM patients had significantly higher percentage of pneumonia, severe pneumonia and ARDS versus the non-diabetic patients. Hematologically, diabetic patients had significantly higher C-reactive protein (CRP), higher absolute neutrophilic count (ANC) and lower counts of lymphocytes and eosinophils compared to non-diabetic patients. They had significantly higher systolic and diastolic blood pressures, longer duration of hospitalization, ICU stay, mechanical ventilation and oxygen therapy. CRP was correlated significantly with the duration of stay in the ICU and the duration for oxygen supplementation (r = 0.37 and 0.42 respectively; p: <0.01).

CONCLUSIONS

T2DM patients showed higher inflammatory response to COVID 19 with higher absolute neutrophilic count (ANC) and CRP with lower lymphocytic and eosinophilic counts. Diabetic patients had more comorbidities and more aggressive course of the disease with higher rate of ICU admission and longer need for hospitalization and oxygen use.

Prognostic factors in patients with diabetes hospitalized for COVID-19: Findings from the CORONADO study and other recent reports

Diabetes mellitus is challenging in the context of the COVID-19 pandemic. The prevalence of diabetes patients hospitalized in intensive care units for COVID-19 is two- to threefold higher, and the mortality rate at least double, than that of non-diabetes patients. As the population with diabetes is highly heterogeneous, it is of major interest to determine the risk factors of progression to a more serious life-threatening COVID-19 infection. This brief review discusses the main findings of CORONADO, a prospective observational study in France that specifically addressed this issue as well as related observations from other countries, mainly China and the US. Some prognostic factors beyond old age have been identified: for example, an increased body mass index is a major risk factor for requiring respiratory assistance. Indeed, obesity combines several risk factors, including impaired respiratory mechanics, the presence of other comorbidities and inappropriate inflammatory responses, partly due to ectopic fat deposits. While previous diabetic microvascular (renal) and macrovascular complications also increase risk of death, the quality of past glucose control had no independent influence on hospitalized diabetes patient outcomes, but whether the quality of glucose control might modulate risk of COVID-19 in non-hospitalized diabetes patients is still unknown. In addition, no negative signs regarding the use of RAAS blockers and DPP-4 inhibitors and outcomes of COVID-19 could be identified. Hyperglycaemia at the time of hospital admission is associated with poor outcomes, but it may simply be considered a marker of severity of the infection. Thus, the impact of glucose control during hospitalization on outcomes related to COVID-19, which was not investigated in the CORONADO study, is certainly deserving of specific investigation.

Commentary: Phosphodiesterase 4 inhibitors as potential adjunct treatment targeting the cytokine storm in COVID-19

The most severe presentation of COVID-19 is characterized by a hyperinflammatory state attributed to the massive pro-inflammatory cytokine release, called "cytokine storm". Several specific anti-inflammatory/immunosuppressive agents are being evaluated by ongoing clinical trials; however, there is currently insufficient evidence for their efficacy and safety in COVID-19 treatment. Given the role of phosphodiesterase 4 (PDE) 4 and cyclic adenosine monophosphate in the inflammatory response, we hypothesize that selective PDE4 inhibition may attenuate the cytokine storm in COVID-19, through the upstream inhibition of pro-inflammatory molecules, particularly TNF-α, and the regulation of the pro-inflammatory/anti-inflammatory balance. Conversely, other anti-cytokine agents lead to the downstream inhibition of specific targets, such as IL-1, IL-6 or TNF-α, and may not be efficient in blocking the cytokine storm, once it has been triggered. Due to their mechanism of action targeting an early stage of the inflammatory response and ameliorating lung inflammation, we believe that selective PDE4 inhibitors may represent a promising treatment option for the early phase of COVID-19 pneumonia before the cytokine storm and severe multiorgan dysfunction take place. Furthermore, PDE4 inhibitors present several advantages including an excellent safety profile; the oral route of administration; the convenient dosing; and beneficial metabolic properties. Interestingly, obesity and diabetes mellitus type 2 have been reported to be risk factors for the severity of COVID-19. Therefore, randomized clinical trials of PDE4 inhibitors are necessary to explore their potential therapeutic effect as an adjunct to supportive measures and other therapeutic regiments.

Phosphodiesterase Inhibitors: Could They Be Beneficial for the Treatment of COVID-19?

In March 2020, the World Health Organization declared the severe acute respiratory syndrome corona virus 2 (SARS-CoV2) infection to be a pandemic disease. SARS-CoV2 was first identified in China and, despite the restrictive measures adopted, the epidemic has spread globally, becoming a pandemic in a very short time. Though there is growing knowledge of the SARS-CoV2 infection and its clinical manifestations, an effective cure to limit its acute symptoms and its severe complications has not yet been found. Given the worldwide health and economic emergency issues accompanying this pandemic, there is an absolute urgency to identify effective treatments and reduce the post infection outcomes. In this context, phosphodiesterases (PDEs), evolutionarily conserved cyclic nucleotide (cAMP/cGMP) hydrolyzing enzymes, could emerge as new potential targets. Given their extended distribution and modulating role in nearly all organs and cellular environments, a large number of drugs (PDE inhibitors) have been developed to control the specific functions of each PDE family. These PDE inhibitors have already been used in the treatment of pathologies that show clinical signs and symptoms completely or partially overlapping with post-COVID-19 conditions (e.g., thrombosis, inflammation, fibrosis), while new PDE-selective or pan-selective inhibitors are currently under study. This review discusses the state of the art of the different pathologies currently treated with phosphodiesterase inhibitors, highlighting the numerous similarities with the disorders linked to SARS-CoV2 infection, to support the hypothesis that PDE inhibitors, alone or in combination with other drugs, could be beneficial for the treatment of COVID-19.

Clinical Management of Diabetes Mellitus in the Era of COVID-19: Practical Issues, Peculiarities and Concerns

The management of patients with diabetes mellitus (DM) in the era of the COVID-19 pandemic can be challenging. Even if they are not infected, they are at risk of dysregulated glycemic control due to the restrictive measures which compromise and disrupt healthcare delivery. In the case of infection, people with DM have an increased risk of developing severe complications. The major principles of optimal care for mild outpatient cases include a patient-tailored therapeutic approach, regular glucose monitoring and adherence to medical recommendations regarding lifestyle measures and drug treatment. For critically ill hospitalized patients, tight monitoring of glucose, fluids, electrolytes, pH and blood ketones is of paramount importance to optimize outcomes. All patients with DM do not have an equally increased risk for severity and mortality due to COVID-19. Certain clinical and biological characteristics determine high-risk phenotypes within the DM population and such prognostic markers need to be characterized in future studies. Further research is needed to examine which subgroups of DM patients are expected to benefit the most from specific antiviral, immunomodulatory and other treatment strategies in the context of patient-tailored precision medicine, which emerges as an urgent priority in the era of COVID-19.