Considerations for Gut Microbiota and Probiotics in Patients with Diabetes Amidst the Covid-19 Pandemic: A Narrative Review

Objective: To review data implicating microbiota influences on Coronavirus Disease 2019 (COVID-19) in patients with diabetes.Methods: Primary literature review included topics: “COVID-19,” “SARS,” “MERS,” “gut micro-biota,” “probiotics,” “immune system,” “ACE2,” and “metformin.”Results: Diabetes was prevalent (~11%) among COVID-19 patients and associated with increased mortality (about 3-fold) compared to patients without diabetes. COVID-19 could be associated with worsening diabetes control and new diabetes diagnosis that could be linked to high expression of angiotensin-converting enzyme 2 (ACE2) receptors (coronavirus point of entry into the host) in the endocrine pancreas. A pre-existing gut microbiota imbalance (dysbiosis) could contribute to COVID-19–related complications in patients with diabetes. The COVID-19 virus was found in fecal samples (~55%), persisted for about 5 weeks, and could be associated with diarrhea, suggesting a role for gut dysbiosis. ACE2 expressed on enterocytes and colonocytes could serve as an alternative route for acquiring COVID-19. Experimental models proposed some probiotics, including Lactobacillus casei, L. plantarum, and L. salivarius, as vectors for delivering or enhancing efficacy of anti-coronavirus vaccines. These Lactobacillus probiotics were also beneficial for diabetes. The potential mechanisms for interconnections between coronavirus, diabetes, and gut microbiota could be related to the immune system, ACE2 pathway, and metformin treatment. There were suggestions but no proof supporting probiotics benefits for COVID-19 infection.Conclusion: The data suggested that the host environment including the gut microbiota could play a role for COVID-19 in patients with diabetes. It is a challenge to the scientific community to investigate the beneficial potential of the gut microbiota for strengthening host defense against coronavirus in patients with diabetes.     

Clinical Characteristics of 28 Patients with Diabetes and COVID-19 in Wuhan,China

Objective: Previous studies on coronavirus disease 2019 (COVID-19) were based on information from the general population. We aimed to further clarify the clinical characteristics of diabetes with COVID-19.Methods: Twenty-eight patients with diabetes and COVID-19 were enrolled from January 29, 2020, to February 10, 2020, with a final follow-up on February 22, 2020. Epidemiologic, demographic, clinical, laboratory, treatment, and outcome data were analyzed.Results: The average age of the 28 patients was 68.6 ± 9.0 years. Most (75%) patients were male. Only 39.3% of the patients had a clear exposure of COVID-19. Fever (92.9%), dry cough (82.1%), and fatigue (64.3%) were the most common symptoms, followed by dyspnea (57.1%), anorexia (57.1%), diarrhea (42.9%), expectoration (25.0%), and nausea (21.4%). Fourteen patients were admitted to the intensive care unit (ICU). The hemoglobin A1c level was similar between ICU and non-ICU patients. ICU patients had a higher respiratory rate, higher levels of random blood glucose, aspartate transaminase, bilirubin, creatine, N-terminal prohormone of brain natriuretic peptide, troponin I, D-dimers, procalcitonin, C-reactive protein, ferritin, interleukin (IL)-2R, IL-6, and IL-8 than non-ICU patients. Eleven of 14 ICU patients received noninvasive ventilation and 7 patients received invasive mechanical ventilation. Twelve patients died in the ICU group and no patients died in the non-ICU group.Conclusion: ICU cases showed higher rates of organ failure and mortality than non-ICU cases. The poor outcomes of patients with diabetes and COVID-19 indicated that more supervision is required in these patients.Abbreviations: COVID-19 = coronavirus disease 2019; ICU = intensive care unit; MERS-CoV = middle East respiratory syndrome-related coronavirus; 2019- nCoV = 2019 novel coronavirus; NT-proBNP = N-terminal prohormone of brain natriuretic peptide; SARS-CoV = severe acute respiratory syndrome-related coronavirus     

Important Management Considerations In Patients With Pituitary Disorders During The Time Of The Covid-19 Pandemic

Objective: In December 2019, a novel coronavirus called severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) caused an outbreak of coronavirus disease 2019 (COVID-19) that resulted in a global pandemic with substantial morbidity and mortality. Currently, there is no specific treatment or approved vaccine against COVID-19. The underlying associated comorbidity and diminished immune function of some pituitary patients (whether caused by the disease and its sequelae or treatment with excess glucocorticoids) increases their risk of contracting and developing complications from COVID-19 infection.Methods: A review of studies in PubMed and Google Scholar published between January 2020 to the time of writing (May 1, 2020) was conducted using the search terms ‘pituitary,’ ‘coronavirus,’ ‘COVID-19’, ‘2019-nCoV’, ‘diabetes mellitus’, ‘obesity’, ‘adrenal,’ and ‘endocrine.’Results: Older age and pre-existing obesity, hypertension, cardiovascular disease, and diabetes mellitus increase the risk of hospitalization and death in COVID-19 patients. Men tend to be more severely affected than women; fortunately, most men, particularly of younger age, survive the infection. In addition to general comorbidities that may apply to many pituitary patients, they are also susceptible due to the following pituitary disorder–specific features: hypercortisolemia and adrenal suppression with Cushing disease, adrenal insufficiency and diabetes insipidus with hypopituitarism, and sleep-apnea syndrome and chest wall deformity with acromegaly.Conclusion: This review aims to focus on the impact of COVID-19 in patients with pituitary disorders. As most countries are implementing mobility restrictions, we also discuss how this pandemic has affected patient attitudes and impacted our decision-making on management recommendations for these patients.Abbreviations: ACE = angiotensin-converting enzyme; AI = adrenal insufficiency; ARB = angiotensin receptor blocker; ARDS = acute respiratory disease syndrome; COVID-19 = coronavirus disease 2019; CPAP = continuous positive airway pressure; DI = diabetes insipidus; DM = diabetes mellitus; SARS-CoV-2 = severe acute respiratory syndrome coronavirus 2     

Gut Microbiome Alterations in COVID-19

Since the outset of the coronavirus disease 2019 (COVID-19) pandemic, the gut microbiome in COVID-19 has garnered substantial interest, given its significant roles in human health and pathophysiology. Accumulating evidence is unveiling that the gut microbiome is broadly altered in COVID-19, including the bacterial microbiome, mycobiome, and virome. Overall, the gut microbial ecological network is significantly weakened and becomes sparse in patients with COVID-19, together with a decrease in gut microbiome diversity. Beyond the existence of severe acute respiratory syndrome coronavirus type 2 (SARS-CoV-2), the gut microbiome of patients with COVID-19 is also characterized by enrichment of opportunistic bacteria, fungi, and eukaryotic viruses, which are also associated with disease severity and presentation. Meanwhile, a multitude of symbiotic bacteria and bacteriophages are decreased in abundance in patients with COVID-19. Such gut microbiome features persist in a significant subset of patients with COVID-19 even after disease resolution, coinciding with ‘long COVID’ (also known as post-acute sequelae of COVID-19). The broadly-altered gut microbiome is largely a consequence of SARS-CoV-2 infection and its downstream detrimental effects on the systemic host immunity and the gut milieu. The impaired host immunity and distorted gut microbial ecology, particularly loss of low-abundance beneficial bacteria and blooms of opportunistic fungi including Candida, may hinder the reassembly of the gut microbiome post COVID-19. Future investigation is necessary to fully understand the role of the gut microbiome in host immunity against SARS-CoV-2 infection, as well as the long-term effect of COVID-19 on the gut microbiome in relation to the host health after the pandemic.     

COVID-19 Outcomes of Patients With Differentiated Thyroid Cancer: A Multicenter Los Angeles Cohort Study

ObjectiveCancer may be a risk factor for worse outcomes in severe acute respiratory syndrome coronavirus 2 (SARS-CoV2) infections. However, there is a significant variability across cancer types in the extent of disease burden and modalities of cancer treatment that may impact morbidity and mortality from coronavirus disease-19 (COVID-19). Therefore, we evaluated COVID-19 outcomes in patients with a differentiated thyroid cancer (DTC) history.MethodsThis is a retrospective cohort study of patients with a history of DTC and SARS-CoV2 infection from 2 academic Los Angeles healthcare systems. Demographic, thyroid cancer, and treatment data were analyzed for associations with COVID-19 outcomes.ResultsOf 21 patients with DTC and COVID-19, 8 (38.1%) were hospitalized and 2 (9.5%) died from COVID-19. Thyroid cancer initial disease burden and extent, treatment, or current response to therapy (eg, excellent vs incomplete) were not associated with COVID-19 severity in DTC patients. However, older age and the presence of a comorbidity other than DTC were significantly associated with COVID-19 hospitalization (P = .047 and P = .024, respectively). COVID-19–attributed hospitalization and mortality in DTC patients was lower than that previously reported in cancer patients, although similar to patients with nonthyroid malignancies in these centers.ConclusionThese data suggest that among patients with DTC, advanced age and comorbid conditions are significant contributors to the risk of hospitalization from SARS-CoV2 infection, rather than factors associated with thyroid cancer diagnosis, treatment, or disease burden. This multicenter report of clinical outcomes provides additional data to providers to inform DTC patients regarding their risk of COVID-19.     

De-Intensification of Diabetes Treatment in Elderly Patients with Type 2 Diabetes Mellitus

Objective: De-intensification of diabetes treatment is recommended in elderly patients with tight glycemic control at high risk of hypoglycemia. However, rates of de-intensification in endocrine practice are unknown. We conducted a retrospective study to evaluate the rate of de-intensification of antidiabetic treatment in elderly patients with type 2 diabetes mellitus (T2DM) and tight glycemic control.Methods: All patients with ≥2 clinic visits over a 1-year period at a major academic diabetes center were included. De-intensification of diabetes treatment was defined as a decrease or discontinuation of any antidiabetic drug without adding another drug, or a reduction in the total daily dose of insulin or a sulfonylurea drug with or without adding a drug without risk of hypoglycemia.Results: Out of 3,186 unique patients, 492 were ≥65 years old with T2DM and hemoglobin A1c (HbA1c) <7.5% (<58 mmol/mol). We found 308 patients treated with a sulfonylurea drug or insulin, 102 of whom had hypoglycemia as per physician note. Among these 102 patients, 38 (37%) were advised to de-intensify therapy. In a subgroup analysis of patients ≥75 years old with HbA1c <7% (<53 mmol/mol), we found that out of 23 patients treated with a sulfonylurea drug or insulin and reporting hypoglycemia, 11 (43%) were advised de-intensification of therapy. There were no significant predictors of de-intensification of treatment.Conclusion: Our study suggests that de-intensification of antidiabetic medications is uncommon in elderly patients with T2DM. Strategies may need to be developed to prevent the potential harm of overtreatment in this population.Abbreviations: ADA = American Diabetes Association; CGM = continuous glucose monitoring; HbA1c = hemoglobin A1c; T2DM = type 2 diabetes mellitus; UKPDS = United Kingdom Prospective Diabetes Study     

Clinical Characteristics of Patients with Type 2 Diabetes Mellitus Continued on Oral Antidiabetes Medications in the Hospital

Objective: Basal/basal-bolus insulin with discontinuation of home oral antidiabetes medications (OADs) is the preferred method to achieve glycemic control in many hospitalized patients. We hypothesized that a subset of patients with type 2 diabetes mellitus (T2DM) can achieve an acceptable level of blood sugar control without cessation of their OADs when hospitalized.Methods: A retrospective chart review was conducted on patients with T2DM who were only on OADs at home, admitted to Fairview Hospital, a community hospital in the Cleveland Clinic Health System. We divided patients into those whose OADs were continued (group 1) and those whose OADs were discontinued (group 2), with or without the addition of insulin in the hospital. Blood glucose (BG) levels and patient characteristics were compared.Results: There were 175 patients, 73 in group 1 and 102 in group 2. The percentage of patients achieving all BG values within 100 to 180 mg/dL was the same between group 1 (21.9%) and group 2 (23.8%) (P = .78). Mean BG was similar between group 1 and group 2 (146.1 ± 41.4 mg/dL versus 152.1 ± 38.9 mg/dL; P = .33), with no significant difference in terms of percentage of patients with hyperglycemia or hypoglycemia. A greater proportion of patients in group 1 had an uninterrupted feeding status, nonintensive care unit admission and no contrast dye exposure, and a shorter length of stay.Conclusion: Our study shows that patients with certain characteristics could achieve an acceptable level of glycemic control without cessation of their home OADs.Abbreviations: BG = blood glucose; DPP-4 = dipeptidyl dipeptidase 4; GFR = glomerular filtration rate; HbA1c = hemoglobin A1c; ICU = intensive care unit; LOS = length of stay; NPO = nil per os; OAD = oral antidiabetes medication; POC = point of care; T2DM = type 2 diabetes mellitus     

Effectiveness and Long-Term Safety of Thiazolidinediones and Metformin in Renal Transplant Recipients

ObjectiveTo investigate the long-term safety and effectiveness of thiazolidinediones and metformin in renal transplant recipients with posttransplant diabetes mellitus (PTDM) or preexisting diabetes mellitus (DM).MethodsRetrospective chart review was performed for renal transplant recipients with PTDM or preexisting DM followed up during the years 2000-2006. Data collected included baseline characteristics; glomerular filtration rate (GFR); creatinine; hemoglobin A_1c; and development of congestive heart failure, edema, and liver function abnormalities. GFR was calculated using the Modification of Diet in Renal Disease study equation calculator.ResultsThirty-two patients comprised the metformin group (PTDM = 21, preexisting DM = 11), and 46 patients were included in the TZD group (PTDM = 33, preexisting DM = 13). Only 24 patients taking metformin and 31 patients taking TZDs were included for effectiveness analysis since the others required additional medications to control their DM. Mean follow-up was 16.4 months (range, 1-55 months) for patients treated with metformin and 37.1 months (range, 6-72 months) for patients treated with TZDs. GFR was decreased from baseline in all patients, but the only significant change was in patients with preexisting DM. While there was a significant change in creatinine levels in the metformin group, only 5 patients had to discontinue the drug because of this elevation (3 in preexisting DM group, 2 in PTDM group). Change in hemoglobin A_1c from baseline was not significant in either study group. Development of congestive heart failure or liver function abnormalities was not observed.ConclusionsMetformin appears to be safe in the renal transplant population for a mean duration of 16 months, although caution should be exercised using close monitoring in patients with preexisting DM. TZDs appear to be safe for a mean duration of 37 months after renal transplant. (Endocr Pract. 2008;14:979-984)     

Fixed-Dose Combination Therapy in Type 2 Diabetes Mellitus

ObjectiveThe management of type 2 diabetes mellitus (T2DM) often requires combinations of antihyperglycemic medications with complementary mechanisms of action. Inadequate adherence to combination therapy, possibly related to pill burden (greater number of pills and higher administration frequency) and poor tolerability, may lead to suboptimal clinical outcomes. One potential means of addressing these problems is the use of fixed-dose combinations (FDCs) that simplify the treatment regimen by reducing pill burden compared with the same combination delivered as separate pills. The present study evaluates the efficacy and tolerability of FDCs in the treatment of T2DM patients and provides an overview of dosing, costs, and adherence.MethodsA review of FDCs, with particular attention to those that contain metformin extended-release (XR) and allow once-daily dosing.ResultsMany FDCs contain metformin as one of the component drugs. However, the standard immediate-release (IR) formulation of metformin requires twice-daily dosing and may have tolerability problems related to adverse gastrointestinal (GI) effects. The XR formulationsof metformin can be administered once daily and have been shown to reduce the occurrence of GI effects frequently observed with metformin IR; consequently, they may have significant advantages for inclusion in FDCs. The long-term cost-effectiveness of FDCs remains to be fully determined.ConclusionFor patients taking metformin, FDCs containing metformin XR offer equivalent efficacy with reduced dose frequency and, potentially, fewer GI events compared with standard IR formulation, as well as a reduced number of pills compared with separate-pill regimens. By reducing pill burden and improving tolerability, FDCs may improve adherence. (Endocr Pract. 2014;20: 1322-1332)     

Sex differences in immune responses to SARS-CoV-2 in patients with COVID-19

Millions of people infected by severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) have been diagnosed with coronavirus infectious disease 2019 (COVID-19). The prevalence and severity of COVID-19 differ between sexes. To explain these differences, we analyzed clinical features and laboratory values in male and female COVID-19 patients. The present study included a cohort of 111 people, i.e. 36 COVID-19 patients, 54 sex- and age-matched common viral community-acquired pneumonia (CAP) patients, and 21 healthy controls. Monocyte counts, lymphocyte subset counts, and alanine aminotransferase (ALT), aspartate aminotransferase (AST), and C-reactive protein (CRP) levels in the peripheral blood were analyzed. Higher Acute Physiology and Chronic Health Evaluation II (APACHE II) scores, monocyte counts, and CRP and ALT levels were found in male COVID-19 patients. Decreased lymphocyte subset counts and proportions were observed in COVID-19 patients, except for the CD3⁺ and CD8⁺ T cell proportions. The lower CD4⁺ T cell proportions and higher CD8⁺ T cell proportions were observed in male and severe COVID-19 patients and the differences were independent of estrogen level. The CD4⁺ T cell proportion was negatively associated with the CD8⁺ T cell proportion in male COVID-19 patients; this correlation was non-significant in females. Our work demonstrates differences between sexes in circulating monocyte counts and CD4⁺ T cell and CD8⁺ T cell proportions in COVID-19 patients, independent of estrogen levels, are associated with the clinical manifestations in COVID-19 patients with high specificity.     

Telehealth Adoption Among Endocrinologists During The Covid-19 Pandemic

Objective: Telehealth is a timely solution for delivering health care during the coronavirus disease 2019 (COVID-19) pandemic. The practice of endocrinology is suited to provide virtual care to patients with a variety of endocrine disorders. In this survey, we aimed to gauge the adoption of telehealth practices during the COVID-19 pandemic among endocrinologists in the United States (U.S.).Methods: This was a cross-sectional, online survey-based study. Members of the Facebook group “Endocrinologists” were invited to participate in the survey. Characteristics of respondents and their rates of adoption of telehealth were described and analyzed for statistically significant associations using the Pearson chi-square test.Results: A total of 181 physicians responded to the survey. The majority of respondents were females (75%), younger than or equal to 40 years of age (51%), employed (72%) either by a private group/hospital or by an academic setting, worked in an urban area (88.4%), and were adult endocrinologists (93%). With the COVID-19 outbreak, more than two-fifths (44.2%) of participants switched to completely virtual visits, and an additional 44.2% switched to a majority of virtual visits, with some in-person visits in the outpatient setting. Additionally, there was a significantly higher adoption rate of telehealth among endocrinologists younger than or equal to 40 years of age (P = .02) and among those who practiced in northeastern, midwestern, and the western geographic regions of the U.S. (P = .04).Conclusion: The majority of the responding endocrinologists from the U.S. appeared to have swiftly adapted by using telehealth within a few weeks of COVID-19 being declared a national emergency.Abbreviations: CMS = Centers for Medicare and Medicaid Services; COVID-19 = coronavirus disease 2019; PPE = personal protective equipment; U.S. = United States     

Phenotypes and Functions of SARS-CoV-2-Reactive T Cells

Infection with severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) causes coronavirus disease 2019 (COVID-19), which is an ongoing pandemic disease. SARS-CoV-2-specific CD4⁺ and CD8⁺ T-cell responses have been detected and characterized not only in COVID-19 patients and convalescents, but also unexposed individuals. Here, we review the phenotypes and functions of SARS-CoV-2-specific T cells in COVID-19 patients and the relationships between SARS-CoV-2-specific T-cell responses and COVID-19 severity. In addition, we describe the phenotypes and functions of SARS-CoV-2-specific memory T cells after recovery from COVID-19 and discuss the presence of SARS-CoV-2-reactive T cells in unexposed individuals and SARS-CoV-2-specific T-cell responses elicited by COVID-19 vaccines. A better understanding of T-cell responses is important for effective control of the current COVID-19 pandemic.     

Colesevelam Hydrochloride Added to Background Metformin Therapy in Patients with Type 2 Diabetes Mellitus: A Pooled Analysis from 3 Clinical Studies

ObjectiveTo evaluate the glucose- and lipid-altering efficacy of colesevelam hydrochloride (HCl) when added to background metformin therapy in patients with inadequately controlled type 2 diabetes mellitus (T2DM).MethodsThis post hoc analysis included patients with T2DM from 3 randomized, double-blind, placebo- controlled pivotal studies who received metformin as part of their background antidiabetes therapy. In the pivotal studies, patients with T2DM were randomly assigned to receive colesevelam HCl (3.75 g/d) or placebo added to existing metformin (26 weeks), sulfonylurea (26 weeks), or insulin (16 weeks) monotherapy or combination therapy, wherein the combination therapies may have included metformin.ResultsIn this pooled analysis of 696 patients with T2DM who were receiving metformin monotherapy or metformin combined with other antidiabetes therapies, 355 were randomly assigned to receive colesevelam HCl and 341 to receive placebo. In comparison with placebo, colesevelam HCl significantly reduced hemoglobin A_1c (A1C) and fasting plasma glucose (mean treatment difference: -0.50% and -15.7 mg/dL, respectively; P < .001 for both), as well as significantly reduced levels of low-density lipoprotein cholesterol (LDL-C; mean treatment difference: -16.5%), total cholesterol (TC; -5.8%), non-high-density lipoprotein cholesterol (non-HDL-C; -8.2%), and apolipoprotein (apo) B (-7.6%) (P < .0001 for all). Median triglyceride levels were increased with colesevelam HCl (median treatment difference: + 12.8%; P < .0001). In comparison with placebo, colesevelam HCl significantly increased apo A-I (mean treatment difference: + 3.3%; P < .0001), whereas the mean increase in HDL-C with colesevelam HCl was not significant. Colesevelam HCl therapy was generally well tolerated.ConclusionWhen added to metformin-including therapy, colesevelam HCl significantly reduced A1C and fasting glucose, as well as levels of LDL-C, TC, non- HDL-C, and apo B in patients with inadequately controlled T2DM. (Endocr Pract. 2011;17:933-938)     

Risk Factors for Hypoglycemia in Inpatients with Total Parenteral Nutrition and Type 2 Diabetes: A Post HOC Analysis of the Insupar Study

Objective: Treatment of hyperglycemia with insulin is associated with increased risk of hypoglycemia in type 2 diabetes mellitus (T2DM) patients receiving total parenteral nutrition (TPN). The aim of this study was to determine the predictors of hypoglycemia in hospitalized T2DM patients receiving TPN.Methods: Post hoc analysis of the INSUPAR study, which is a prospective, open-label, multicenter clinical trial of adult inpatients with T2DM in a noncritical setting with indication for TPN.Results: The study included 161 patients; 31 patients (19.3%) had hypoglycemic events, but none of them was severe. In univariate analysis, hypoglycemia was significantly associated with the presence of diabetes with end-organ damage, duration of diabetes, use of insulin prior to admission, glycemic variability (GV), belonging to the glargine insulin group in the INSUPAR trial, mean daily grams of lipids in TPN, mean insulin per 10 grams of carbohydrates, duration of TPN, and increase in urea during TPN. Multiple logistic regression analysis showed that the presence of diabetes with end-organ damage, GV, use of glargine insulin, and TPN duration were risk factors for hypoglycemia.Conclusion: The presence of T2DM with end-organ damage complications, longer TPN duration, belonging to the glargine insulin group, and greater GV are factors associated with the risk of hypoglycemia in diabetic noncritically ill inpatients with parenteral nutrition.Abbreviations: ADA = American Diabetes Association; BMI = body mass index; CV% = coefficient of variation; DM = diabetes mellitus; GI = glargine insulin; GV = glycemic variability; ICU = intensive care unit; RI = regular insulin; T2DM = type 2 diabetes mellitus; TPN = total parenteral nutrition     

Hyperglycemia is Associated With Increased Mortality in Critically Ill Patients With COVID-19

ObjectiveTo explore the relationship between hyperglycemia in the presence and absence of diabetes mellitus (DM) and adverse outcomes in critically ill patients with coronavirus disease 2019 (COVID-19).MethodsThe study included 133 patients with COVID-19 admitted to an intensive care unit (ICU) at an urban academic quaternary-care center between March 10 and April 8, 2020. Patients were categorized based on the presence or absence of DM and early-onset hyperglycemia (EHG), defined as a blood glucose >180 mg/dL during the first 2 days after ICU admission. The primary outcome was 14-day all-cause in-hospital mortality; also examined were 60-day all-cause in-hospital mortality and the levels of C-reactive protein, interleukin 6, procalcitonin, and lactate.ResultsCompared to non-DM patients without EHG, non-DM patients with EHG exhibited higher adjusted hazard ratios (HRs) for mortality at 14 days (HR 7.51, CI 1.70-33.24) and 60 days (HR 6.97, CI 1.86-26.13). Non-DM patients with EHG also featured higher levels of median C-reactive protein (306.3 mg/L, P = .036), procalcitonin (1.26 ng/mL, P = .028), and lactate (2.2 mmol/L, P = .023).ConclusionAmong critically ill COVID-19 patients, those without DM with EHG were at greatest risk of 14-day and 60-day in-hospital mortality. Our study was limited by its retrospective design and relatively small cohort. However, our results suggest the combination of elevated glucose and lactate may identify a specific cohort of individuals at high risk for mortality from COVID-19. Glucose testing and control are important in individuals with COVID-19, even those without preexisting diabetes.     

Impact of Type 2 Diabetes on Nonalcoholic Steatohepatitis and Advanced Fibrosis in Patients with Nonalcoholic Fatty Liver Disease

Objective: Type 2 diabetes mellitus (T2DM) is a risk factor for nonalcoholic fatty liver disease (NAFLD). The aim of this study was to investigate the effect of T2DM on nonalcoholic steatohepatitis (NASH) and advanced fibrosis.Methods: A total of 221 NAFLD patients who had undergone a liver biopsy were included in this study. Subjects were divided into a non-T2DM group and a T2DM group based on glycemic control. NASH was diagnosed by the joint presence of steatosis, ballooning, and lobular inflammation. The steatosis, activity, and fibrosis (SAF) score and NAFLD activity score (NAS) were used to evaluate the severity of NAFLD. The severity of liver fibrosis was evaluated based on the fibrosis stage.Results: The total percentages of NASH and advanced fibrosis in this study were 95.0% and 50.2%, respectively. The percentages of NASH and advanced fibrosis in NAFLD patients with T2DM were 96.1% and 56.5%, respectively, which were higher than those in the non-T2DM group. SAF score (especially activity and fibrosis stage) and NAS (especially ballooning) were higher in NAFLD patients with T2DM than in NAFLD patients without T2DM. Glycemic control and insulin resistance were positively associated with SAF, NAS, and fibrosis stage. Additionally, T2DM elevated the risk of a high NAS and advanced fibrosis.Conclusion: T2DM increases the risk of serious NASH and advanced fibrosis in patients with NAFLD. Liver biopsy can be performed in NAFLD patients with T2DM to confirm the stage of NAFLD. Screening of NASH and advanced fibrosis in NAFLD patients with T2DM is needed.Abbreviations: ALT = alanine aminotransferase; APO = apolipoprotein; AST = aspartate aminotransferase; BMI = body mass index; CI = confidence interval; FPG = fasting plasma glucose; GGT = gamma-glutamyl transferase; HbA1c = hemoglobin A1c; HDL-c = high-density-lipoprotein cholesterol; ¹H-MRS = proton magnetic resonance spectroscopy; HOMA-IR = homeostasis model assessment of insulin resistance; 2hPG = postprandial plasma glucose at 2 hours; LDL-c = low-density-lipoprotein cholesterol; LFC = liver fat content; NAFLD = nonalcoholic fatty liver disease; NAS = NAFLD activity score; NASH = nonalcoholic steatohepatitis; OGTT = oral glucose tolerance test; OR = odds ratio; T2DM = type 2 diabetes mellitus; TC = total cholesterol; TG = triglyceride; SAF = steatosis, activity, and fibrosis; US-FLI = ultrasonographic fatty liver indicator     

SARS-CoV-2 infection is associated with a pro-thrombotic platelet phenotype

Novel coronavirus disease 2019 (COVID-19) is associated with a hypercoagulable state, characterized by abnormal coagulation parameters and by increased incidence of cardiovascular complications. With this study, we aimed to investigate the activation state and the expression of transmembrane proteins in platelets of hospitalized COVID-19 patients. We investigated transmembrane proteins expression with a customized mass cytometry panel of 21 antibodies. Platelets of 8 hospitalized COVID-19 patients not requiring intensive care support and without pre-existing conditions were compared to platelets of healthy controls (11 donors) with and without in vitro stimulation with thrombin receptor-activating peptide (TRAP). Mass cytometry of non-stimulated platelets detected an increased surface expression of activation markers P-Selectin (0.67 vs. 1.87 median signal intensity for controls vs. patients, p = 0.0015) and LAMP-3 (CD63, 0.37 vs. 0.81, p = 0.0004), the GPIIb/IIIa complex (4.58 vs. 5.03, p < 0.0001) and other adhesion molecules involved in platelet activation and platelet–leukocyte interactions. Upon TRAP stimulation, mass cytometry detected a higher expression of P-selectin in COVID-19 samples compared to controls (p < 0.0001). However, we observed a significantly reduced capacity of COVID-19 platelets to increase the expression of activation markers LAMP-3 and P-Selectin upon stimulation with TRAP. We detected a hyperactivated phenotype in platelets during SARS-CoV-2 infection, consisting of highly expressed platelet activation markers, which might contribute to the hypercoagulopathy observed in COVID-19. In addition, several transmembrane proteins were more highly expressed compared to healthy controls. These findings support research projects investigating antithrombotic and antiplatelet treatment regimes in COVID-19 patients, and provide new insights on the phenotypical platelet expression during SARS-CoV-2 infection.Subject terms: Mechanisms of disease, Viral infection     

Family History of Diabetes is Associated with Increased Risk of Recurrent Diabetic Ketoacidosis in Pediatric Patients

Objective: To determine the relationship between family history of diabetes mellitus (DM) and diabetic ketoacidosis (DKA) recurrence in youth with established type 1 diabetes mellitus (T1DM).Methods: We performed a retrospective chart review of patients with DKA admitted to a pediatric hospital between January, 2009, and December, 2014. We compared patients with recurrent (≥2 admissions) and nonrecurrent DKA (1 admission) and investigated patient level factors, including family history, that may be associated with DKA recurrence in pediatric patients with established T1DM.Results: Of the 131 subjects in the study, 51 (39%) subjects were in the recurrence group. Age ≥15 years old, public health insurance, and family history of T1DM or type 2 diabetes mellitus were associated with recurrent DKA admissions in both univariable and multivariable analyses. Family history was associated with DKA recurrence, with an incidence rate ratio of 1.5 (95% confidence interval = 1.0 to 2.3; P = .03). The association was not explained by type of familial diabetes, first degree relative status, or whether the family member lived in the household.Conclusion: Recognition that a positive family history of DM may be associated with a higher risk for DKA recurrence in patients with established T1DM may allow for targeted education and focus on a previously unidentified population at increased risk for DKA. Understanding the mechanism underlying the effect of family history of diabetes on the rates of DKA in patients with established T1DM may allow for improved identification and education of patients who may be at risk for DKA recurrence.Abbreviations: CI = confidence interval; DKA = diabetic ketoacidosis; EHR = electronic health record; IBD = inflammatory bowel disease; IRR = incidence rate ratio; T1DM = type 1 diabetes mellitus; T2DM = type 2 diabetes mellitus     

Metformin Treatment for Diabetes Mellitus Correlates with Progression and Survival in Colorectal Carcinoma

BACKGROUND: Diabetes mellitus is unfavorably associated with cancer risk. The purpose of this multidisciplinary project was to evaluate a possible association of diabetes mellitus and other comorbidities and their treatment with progression of colorectal cancer. PATIENTS AND METHODS: We investigated the correlation between pathological characteristics and clinical course, including comorbidities in 1004 Czech patients diagnosed and surgically treated for colorectal adenocarcinoma (CRC) between 1999 and 2016. RESULTS: In our data set, CRC patients treated with metformin due to coexisting diabetes mellitus type 2 (T2DM) developed fewer distant metastases which clinically correlates with slower CRC progression. Survival in metformin subgroup was longer, particularly in men with CRC. Osteoporosis may be a negative factor of survival in CRC patients. CONCLUSIONS: Our findings also indicate that aging, higher tumor grade and TNM stage, coexistence of selected endocrine disorders, and metabolic abnormalities may change the tumor microenvironment and impact survival in colorectal cancer, although mechanism of these observations yet to be explained. Patients with diabetes mellitus type 2 treated with metformin may represent the altered microenvironment with specifically tuned metabolic molecular responses and with various epigenetic characteristics. More awareness and increased understanding of the mechanisms underlying the positive effect of metformin on patients' survival could offer insight into new treatment methods and permit more individualized treatment plans.