A case series of diabetic ketoacidosis associated with SGLT2 inhibitors

Sodium-glucose cotransporter 2 inhibitors (SGLT2i) are increasingly initiated as treatment for type 2 diabetes due to favourable cardiorenal characteristics. However, studies have identified an increased risk of diabetic ketoacidosis (DKA). We carried out a retrospective, case-based study at East and North Herts NHS Trust between February 2018 and December 2020. Fifteen cases of SGLT2i associated DKA were identified in people with presumed type 2 diabetes;33.3% were classed as euglycaemic DKA with a blood glucose of <11mmol/L. All cases were associated with a significant precipitating factor including diarrhoea, vomiting, reduced oral intake and sepsis. One case was related to COVID-19. Two people were subsequently found to have raised islet autoantibodies suggesting type 1 diabetes or latent autoimmune diabetes in adults. It is important that awareness of SGLT2i associated DKA is raised among users and health care practitioners, including the recognition of euglycaemic DKA. Sick day rules should be emphasised and reiterated at clinical encounters. Non-specialists in primary care, oncology and in perioperative settings should be empowered to advocate for temporary withdrawal and there should be readier access to blood ketone monitoring when required. When SGLT2i associated DKA occurs, due consideration should be given to evaluate the diabetes classification and investigate the circumstances of the event. Copyright © 2023 John Wiley & Sons.Copyright © 2023 John Wiley & Sons, Ltd.

Risk factors affecting outcome of rhino-orbital-cerebral mucormycosis in COVID-19 patients

Background: Mucormycosis is a serious life-threatening fungal infection that recently made severe sudden and devastating surge during the second wave of the COVID-19 epidemic with a mortality rate of up to 50%. Although the causality link between COVID-19 and rhino-orbito-cerebral mucormycosis (ROCM) remains unclear, many factors including poor diabetes control, high doses of steroids, viral-induced lymphopenia, and cytokine storm have been attributed to ROCM in patients with COVID-19. Orienting to risk factors and early recognition of this potentially fatal opportunistic infection is the key to optimal management and improved outcomes. In these contexts, we conducted a prospective study for 33 patients admitted to our tertiary hospital to determine the risk factors for ROCM in patients with COVID-19 and the cumulative mortality rates. Result(s): This study found a statistically significant relation between the fate of death in COVID-MUCOR patients who had presented fever, ophthalmoplegia, facial skin necrosis, and visual loss with those who received dose of steroid to control their respiratory symptoms P < 0.001. Death from COVID-MUCOR was statistically significant related to the prolonged interval from the onset of the symptoms to start of treatment and intervention. Also, it was found that there was a significant decrease in duration between COVID-19 infection and the start of mucormycosis (days) with incidence of DKA on admission. Nineteen (57.6%) of the patients had uncontrolled diabetes mellitus (hemoglobin A1C (HbA1c) of > 7.0%). Conclusion(s): Mucormycosis epidemic was precipitated by a unique confluence of risk factors: diabetes mellitus, widespread use of steroids, and perhaps SARS-CoV-2 infection itself. Restricting steroid use in patients with severe COVID-19 requiring oxygen therapy, and screening for and optimally controlling hyperglycemia, can prevent COVID-MUCOR in a large majority.Copyright © 2023, The Author(s).

Frequency of Diabetes Mellitus and Newly Diagnosed Hyperglycemia and Their Impacts on Hospitalized COVID-19 Patients

Background: The coronavirus disease 2019 (COVID-19) pandemic and its associated morbidities are a great global concern. Diabetes mellitus (DM) is associated with adverse clinical outcomes and high mortality in patients with COVID-19. Objective(s): This study examined the frequency of BM, newly diagnosed hyperglycemia, and their impacts on hospitalized patients with COVID-19. Method(s): This retrospective study examined 810 medical records of PCR-confirmed COVID-19 patients admitted to Razi Hospital, Ahvaz, Iran. The clinical presentations, severity, and impacts of COVID-19 were compared between patients with and without DM. Disease severity was determined based on the NEWS2 scoring system. Result(s): This study included 810 medical records of COVID-19 patients, of whom 326 had pre-existing DM, and 484 were non-DM. The rates of diabetes and newly diagnosed hyperglycemia were 40.2% and 11.2%, respectively. The most common underlying diseases were hypertension (35.3%), ischemic heart disease (17.9%), and chronic kidney disease (11.9%), which were higher in people with diabetes than non-diabetics. The rate of acute kidney injury was higher in patients with diabetes than in non-diabetics (30.7% vs. 19.2%;P < 0.001) and in patients with severe COVID-19 than in those whose disease was not severe (27.8% vs. 21.5%;P = 0.04). The rates of severe COVID-19 (46.3% vs. 34.7%;P = 0.093), ICU admission (40.7% vs. 27.4%;P = 0.012), and mortality (18.5% vs. 10.5%;P = 0.079) were higher in patients with newly diagnosed hyperglycemia than in euglycemic patients. Conclusion(s): This study showed that COVID-19 infection is linked with newly diagnosed hyperglycemia and pre-existing DM, both associated with severe COVID-19, more need for ICU admission, and mortality.Copyright © 2023, Author(s).

Diabetes mellitus in relation to COVID-19

The recent ongoing COVID-19 pandemic caused by the SARS-CoV-2 virus saw many hospitalizations and deaths among elderly patients. It has been reported that the most common underlying conditions in these patients were obesity and diabetes. While both type 1 and type 2 diabetes pose a higher risk of severe or fatal COVID-19 infections, patients with type 2 diabetes required ICU treatment at a greater frequency than those with type 1 diabetes. However, whether diabetes affects susceptibility for COVID-19 has yet to be explored. This chapter focuses on both type 1 and type 2 diabetes, with the main goal of understanding this chronic condition during the pandemic, based on currently available case studies. © 2023 Elsevier Inc. All rights reserved.

Increased diagnosis of diabetes in secondary care: Is Covid-19 the only reason?

Aim: To evaluate the prevalence of new diabetes in secondary care during the second wave of the Covid-19 pandemic. Method(s): Data were collected prospectively for patients presenting to the hospital with new diagnosis of diabetes from December 2020 to May 2021. It included demographics, risk factors, presenting glucose, other investigations and treatment. Result(s): In the six-month study period, 31 patients were diagnosed with new diabetes. Thus far, approximately 13 patients have been identified to have type 1 diabetes and the average age was 37 years. Everyone was discharged with insulin except one patient. Prior to the pandemic in the year 2019, only 17 patients were diagnosed with diabetes in the hospital. Conclusion(s): The lockdown led to a reduction in physical activity and varied diet which may have contributed to weight gain;worsening insulin resistance. It is plausible that severe acute respiratory syndrome coronavirus 2 (SARS-CoV- 2) could trigger autoimmune type 1 diabetes or accelerate its presentation. Together with a hesitancy for patients to seek medical attention and reduced access to face-to- face primary care consultations, this may have contributed to the increased presentation of diabetes-related emergencies and reduction in symptomatic hyperglycaemia. Various studies found patients with pre-existing diabetes have a worse outcome if they develop Covid-19. Overall, during the pandemic, physical and mental health worsened, pre-disposing to medical conditions and impacting self-management of health and disease. We predict the increase in new diagnoses of diabetes in secondary care is multifactorial due to the effects of the pandemic rather than Covid-19 infection solely.

Complex presentations in people with diabetes: Does HbA1c help or hinder?

HbA1c measurement is widely used for diagnosis/ management/remission of diabetes with international schemes certifying comparability. A) 75 year-old Chinese female with type 2 diabetes was admitted in April 2020 with Covid-19 and diabetic ketoacidosis. Glucose was 35mmol/l and HbA1c 150mmol/mol with previous HbA1c of 45mmol/mol on metformin and alogliptin. She was treated for ketoacidosis and once-daily Lantus introduced along with supportive management of viral illness. B) 68 year-old Afro-Caribbean with type 2 diabetes on metformin before admission, presented with new onset, jerky ballistic movements of high amplitude in right arm, 10-15 movements every 5 min. Admission glucose was >33mmol/l, ketones 1.8mmol/l and HbA1c >217mmol/ mol. Hemichorea-hemiballism, a hyperglycaemia related movement was diagnosed and insulin commenced. Glucose decreased to 8-20mmol/ l, reaching 5-15mmol/ l by time of discharge. Ballistic movements resolved when glycaemic control improved with HbA1c 169mmol/mol, 25 days after discharge. C) Several days before admission, a female with diabetes over 20 years required attention from paramedics on four occasions for hypoglycaemia. Months beforehand metformin was replaced by gliclazide due to chronic kidney disease with HbA1c 50mmol/mol, and she was transfused six weeks before admission for microcytic anaemia. Gliclazide was discontinued and her diet modified which prevented further hypoglycaemic episodes. Variant haemoglobin, beta-thalassaemia which can overestimate glycaemia;undetected by HbA1c HPLC method, invalidated HbA1c as did the blood transfusion. These cases highlight that inadequate understanding of HbA1c can lead to acute presentations of dysglycaemia. As HbA1c accuracy can be affected by multiple factors, clinical assessment and triangulation are key to the management of such patients.

Biochemical mechanisms in the severe prognosis of pa- tients with diabetes mellitus infected by SARS-CoV-2 virus: literature review

Diabetes mellitus (DM) is a metabolic disease characterised mainly by signs and symptoms derived from increased serum glucose or hyperglycemia. The coronavirus disease 2019 (COVID-19) pandemic affected the entire world with reports of severe prognosis in diabetic patients infected with the severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) and high hospital admissions in the intensive care unit (ICU) compared to non-diabetic patients. The objective of the bibliographic review was to evaluate and describe some of the biochemical mechanisms that lead to severe prognosis in patients with DM infected by the SARS-CoV-2 virus through a systematic search for information in different databases. The results showed that the high ICU admission with a severe prognosis of diabetic patients infected by the virus was due to excessive inflammation that causes acute respiratory distress syndrome, cytokine storm, severe pneu-monia, impaired immunity, and hyperglycemia. The virus enters the cell mainly through the endocytic and non-endosomal pathway;the central cellular receptors involved in the mechanisms are insulin receptors (IR), glucose transporter type 2 (GLUT-2), dipeptidyl peptidase-4 (DPP4), glucose transporter type 4 (GLUT-4), glucose converting enzyme angiotensin 2 (ACE2), and the serine transmembrane protease co-receptor 2 (TMPRSS2) essential for viral propagation. The increased susceptibility to devel-oping COVID-19 in diabetic patients is due to the overexpression of ACE2, and serious complications are increased at the microvascular and macrovascular levels, such as nephropathies, neuropathies, and cardiovascular diseases.

Safety of Pharmacotherapy in COVID-19 Patients: A Literature Review.

The safety of COVID-19 pharmacotherapy is a relevant issue, first of all, because of the current lack of experience with using particular medicinal products and with off-label prescribing. The aim of the study was to analyse information on potential adverse drug reactions (ADRs) and their predictors in etiology- and pathogenesis-oriented COVID-19 therapy. According to literature data, the main clinically significant risk factors for COVID-19 patients to develop an ADR are the duration of their hospital stay, combined use of antivirals, polypharmacy, and their history of drug allergies. The most common adverse reactions to antivirals, to virus-neutralising antibodies, and to human anti-COVID-19 immunoglobulin and convalescent plasma are, respectively, gastrointestinal and hepatobiliary disorders;gastrointestinal disorders, neurological disorders, and allergic reactions;and transfusion reactions (fever, chills, etc.). For pathogenesis-oriented therapy with systemic glucocorticosteroids, the most characteristic ADR is hyperglycaemia. Janus kinase inhibitors and interleukin inhibitors are most often associated with gastrointestinal disorders and hypertransaminasemia;neutropenia is also characteristic of a number of interleukin inhibitors. Haemostatic adverse reactions to anticoagulants depend on the patient's dosing regimen and condition. Drug-drug interactions are a common problem in COVID-19 treatment, with the combination of nirmatrelvir and ritonavir showing the largest number of significant interactions attributed to their pharmacokinetics. Currently, there is data on the role of pharmacogenetic biomarkers in the safety and clinical outcomes of COVID-19 therapy. Thus, to improve the safety of COVID-19 therapy, an integrated approach is needed that will take into account both the clinical, demographic, and pharmacogenetic predictors of ADRs and the risk of drug-drug interactions.Copyright © 2023 Safety and Risk of Pharmacotherapy. All rights reserved.

COVID-19 in patients with advanced stages of diabetic kidney disease: new onset renal replacement therapy as one of the predictors of adverse outcome

Background: patients with Diabetes Mellitus 2 (DM2) and advanced stages of Diabetic Kidney Disease (DKD) are at high risk for the lethal outcome of COVID-19. The causes of high mortality and the prognostic signifi cance of the new onset of renal replacement therapy (hemodialysis de novo, HD de novo) among these patients are still points of debate. Aim: the identifi cation of risk factors (RF) of lethal outcome in patients with DKD 4-5D stages and evaluation of the prognostic value of HD de novo in patients not receiving HD at the time of hospital admission. Methods: the patients with COVID-19 and advanced stages of DKD were included in a retrospective observational study from 04.01. to 10.30.2020. The endpoints were the outcome of hospitalization (discharge/death) and HD de novo initiation during the inpatient course. Several demographic, DM2, DKD, and COVID-19-associated signs and laboratory parameters were analyzed as independent variables. The subgroup of patients with HD de novo was selected from the general cohort. Results: 120 patients with DKD 4-5D stages were included, with a mean age of 69±10 y, females - 52%. Initially, the observation cohort was divided into subgroups: DKD 4-5 and DKD 5D on maintenance hemodialysis (MHD). The mortality among patients with DKD 4-5 was comparable with the patients on MHD (38,2% vs 38,5%, р=0,975). The independent predictors of lethal outcome in group DKD 4-5 were: age ≥65 y (OR 12,30;95% CI 1,40-33,5;р=0,009), initial prandial glycemia ≥10 mmol/l (OR 14,5;95% CI 3,7-55,4;р<0,001), albuminemia at admission ≤35 g/l (OR 5,17;95% CI 1,52-17,50;р=0,012), Charlson comorbidity index (CCI) ≥10 (OR 6,69;95% CI 1,95-23,00;р=0,002), News2 >4 at admission (OR 7,58;95% CI 2,18-26,37;р=0,001), lung damage CT 3-4 at admission (OR 3,39;95% CI 1,09-10,58;р=0,031). In subgroup DKD 5D the independent predictors of lethal outcome were prandial glycemia at admission ≥10 mmol/l (OR 28,5;95% CI 7,1-33,5;р<0,001), lung damage at admission CT 3-4 (OR 8,35;95% CI 2,64-26,40;р<0,001), CCI ≥10 (OR 6,00;95% CI 1,62-22,16;р=0,006). To determine the risk of lethal outcome predictive models were created using identifi ed risk factors and variables. The predictive value for DKD 4-5 group was 93%, and for DKD 5D was 88%. The assessment of the overall predictive value of these models was carried out using ROC analysis. The mortality among patients with DKD 4-5 without HD de novo was 21,6% vs 72,2% in patients with initiated HD de novo (р<0,001). The independent predictors of HD de novo during the inpatient course were: prandial glycemia at admission ≥10 mmol/l (OR 3,38;95% CI 1,04-10,98;р=0,050), albuminemia at admission ≤35 г/л (OR 3,41;95% CI 1,00-11,55;р=0,050), News2 >4 at admission (OR 5,60;95% CI 1,67-19,47;р=0,006), eGFR ≤20 ml/min/1,73 m2 at admission (OR 4,24;95% CI 1,29-13,99;р=0,020). HD de novo was identifi ed as an independent predictor of adverse outcomes (OR 9,42;95% CI 2,58-34,4;р=0,001). The analysis of cumulative survival demonstrated comparable results in DKD 4-5 without HD de novo group and DKD 5D group. The cumulative 55-day survival in the subgroup with HD de novo was only 10%. Conclusion: the need to start HD de novo is one of the most powerful predictors of adverse outcomes of COVID-19 in patients with advanced DKD. The comparable mortality rate in DKD 4-5 and DKD 5D groups is due to extremely high mortality in the subgroup with HD de novo. The strict control and correction of HD de novo risk factors could turn them into modifi able ones and thus improve the survival prognosis of patients with advanced stages of DKD. © 2023 JSC Vidal Rus. All rights reserved.

Association between Type 2 Diabetes Mellitus and Covid-19 Severity: A Literature Review

We conducted a review and evaluated the already documents reports for the relationship among diabetes and COVID-19. The review outcome shows that the COVID-19 severity seems to be greater among patients with diabetes as comorbidity. So, strict glycemic control is imperative in patients infected with COVID-19. Thus, world-wide diabetes burden and COVID-19 pandemic must be deliberated as diabetes increases the COVID-19 severity. Established on this, it is precise significant to follow specific treatment protocols and clinical management in COVID-19 patients affected with diabetes to prevent morbidity and mortality.Copyright © 2023 The Authors.

Comparative effectiveness and safety of a pharmacist-managed protocol for the transition from intravenous to subcutaneous insulin

Purpose: To evaluate the effectiveness and safety of a pharmacist-managed protocol for transitioning critically ill patients from intravenous (iv) to subcutaneous insulin compared with a provider-managed process. Method(s): This single-center, retrospective, observational study included patients admitted to the medical or surgical/trauma intensive care unit who received a continuous infusion of iv insulin from January 2019 to April 2021. Patients were excluded if they were less than 18 years of age, pregnant, incarcerated, or received iv insulin for the diagnosis of diabetic ketoacidosis, hyperglycemic hyperosmolar state, calcium channel blocker or beta blocker overdose, or hypertriglyceridemia. The primary outcome was the percentage of blood glucose (BG) concentrations within the target range of 70-150 mg/dL from 0 to 48 h following transition to subcutaneous insulin. Secondary outcomes included percentage of BG concentrations within goal range following transition at 0-12 h and 12-24 h, incidence of hypo- and hyperglycemia, and percentage of patients requiring dose adjustments after initial transition. Result(s): A total of 110 unique patients were included with 70 patients in the provider-managed group and 40 patients in the pharmacist-managed group. On average, pharmacists transitioned patients to 63% basal insulin based on their 24-h total day dose of insulin. The pharmacist-managed group achieved glycemic control in 53% of transitions at 12 h, 40% at 24 h, and 47% from 0 to 48 h, while the provider group achieved glycemic control in 25% of transitions at 12 h, 12% at 24 h, and 18% from 0 to 48 h (p < 0.001 for all time points). As for safety end points, the pharmacist-managed group demonstrated lower rates of hypoglycemia (p = 0.001), severe hypoglycemia (p = 0.332), hyperglycemia (p < 0.001), and severe hyperglycemia (p < 0.001) compared with the provider-managed group. Conclusion(s): Pharmacists can effectively and safely transition critically ill patients from iv to subcutaneous insulin utilizing a standardized protocol.Copyright © 2023 Pharmacotherapy Publications, Inc.

A Review of Hyperglycemia in COVID-19.

Diabetes mellitus (DM) is one of the most common chronic metabolic disorders worldwide, which increases the risk of common and opportunistic infections. Following the coronavirus disease 2019 (COVID-19) pandemic, a higher incidence rate, more severe forms of the disease, and exacerbation of hyperglycemia and its complications have been observed in patients with DM. Moreover, stress-induced hyperglycemia has been observed in many hospitalized nondiabetic patients after contracting COVID-19. Hyperglycemia worsens prognosis in both diabetic and nondiabetic patients. In this study, the mechanism of new-onset or exacerbation of hyperglycemia, the effect of the treatments used for COVID-19 on hyperglycemia, the importance and appropriate method of blood glucose (blood sugar (BS)) control during the disease, and the possible fate of new-onset hyperglycemia after recovery from COVID-19 to some extent is expressed.

Patients with prediabetes are at greater risk of developing diabetes 5 months postacute SARS-CoV-2 infection: a retrospective cohort study.

INTRODUCTION: Patients with prediabetes who contract SARS-CoV-2 infection (COVID-19) could be at higher risk of developing frank diabetes compared those who do not. This study aims to investigate the incidence of new-onset diabetes in patients with prediabetes after COVID-19 and if it differs from those not infected. RESEARCH DESIGN AND METHODS: Using electronic medical record data, 42 877 patients with COVID-19, 3102 were identified as having a history of prediabetes in the Montefiore Health System, Bronx, New York. During the same time period, 34 786 individuals without COVID-19 with history of prediabetes were identified and 9306 were propensity matched as controls. SARS-CoV-2 infection status was determined by a real-time PCR test between March 11, 2020 and August 17, 2022. The primary outcomes were new-onset in-hospital diabetes mellitus (I-DM) and new-onset persistent diabetes mellitus (P-DM) at 5 months after SARS-CoV-2 infection. RESULTS: Compared with hospitalized patients without COVID-19 with history of prediabetes, hospitalized patients with COVID-19 with history of prediabetes had a higher incidence of I-DM (21.9% vs 6.02%, p<0.001) and of P-DM 5 months postinfection (14.75% vs 7.51%, p<0.001). Non-hospitalized patients with and without COVID-19 with history of prediabetes had similar incidence of P-DM (4.15% and 4.1%, p>0.05). Critical illness (HR 4.6 (95% CI 3.5 to 6.1), p<0.005), in-hospital steroid treatment (HR 2.88 (95% CI 2.2 to 3.8), p<0.005), SARS-CoV-2 infection status (HR 1.8 (95% CI 1.4 to 2.3), p<0.005), and hemoglobin A1c (HbA1c) (HR 1.7 (95% CI 1.6 to 1.8), p<0.005) were significant predictors of I-DM. I-DM (HR 23.2 (95% CI 16.1 to 33.4), p<0.005), critical illness (HR 2.4 (95% CI 1.6 to 3.8), p<0.005), and HbA1c (HR 1.3 (95% CI 1.1 to 1.4), p<0.005) were significant predictors of P-DM at follow-up. CONCLUSIONS: SARS-CoV-2 infection confers a higher risk for developing persistent diabetes 5 months post-COVID-19 in patients with prediabetes who were hospitalized for COVID-19 compared with COVID-19-negative counterparts with prediabetes. In-hospital diabetes, critical illness, and elevated HbA1c are risk factors for developing persistent diabetes. Patients with prediabetes with severe COVID-19 disease may need more diligent monitoring for developing P-DM postacute SARS-CoV-2 infection.

Increased risk of new-onset diabetes in patients with COVID-19: a systematic review and meta-analysis.

Background: There is growing evidence that patients with COVID-19 are at increased risk of new-onset diabetes. The limited preliminary studies do not provide strong evidence. To assess the association of the SARS-CoV-2 virus with new-onset diabetes and to characterize the population. Methods: Search PubMed, Embase, Cochrane Library, and Web of Science electronic databases for a limited period from December 2019 to July 2022. Two independent reviewers conducted a thorough review of eligible articles and extracted relevant information. Pooled proportions, risk ratios (RR), and 95% confidence intervals (95% CI) indicated the incidence and risk ratios of events. Results: The incidence of new-onset diabetes and hyperglycemia in patients with COVID-19 was 5% (P < 0.001) (3 and 30% for new-onset diabetes and hyperglycemia, respectively), with age, ethnicity, time of diagnosis, and study type all having an impact on the incidence (P < 0.05). New-onset diabetes and hyperglycemia were 1.75 times higher in COVID-19 patients than in non-COVID-19 patients. In new-onset diabetes and hyperglycemia population, the percentage of men is 60% (40% for women), with a mortality rate of 17%. The proportion of new-onset diabetes and hyperglycemia after infection with COVID-19 was 25% in men and 14% in women. Conclusions: The incidence and relative risk of new-onset diabetes and hyperglycemia are elevated after COVID-19 infection, especially in the early COVID-19 and male populations. Systemic review registration: PROSPERO registration no.: CRD42022382989 https://www.crd.york.ac.uk/PROSPERO/display_record.php?RecordID=382989.

[Impact of hyperglycemia on the prognosis of patients hospitalized for severe pneumonia in COVID-19]

Background: Adequate glycemic control improves the prognosis of patients hospitalized for pneumonia associated with severe COVID-19. Objective: To evaluate the impact of hyperglycemia (HG) on the prognosis of patients hospitalized for severe pneumonia associated with COVID-19 in unvaccinated patients. Material and methods: Prospective cohort study. We included patients hospitalized from August 2020 to February 2021, with severe COVID-19 pneumonia, not vaccinated against SARS-CoV-2. Data was collected from admission to discharge. We used descriptive and analytical statistics according to the data distribution. ROC curves were used to determine the cut-off points with the highest predictive performance for HG and mortality, with the IBM SPSS program, version 25. Results: We included 103 patients, 32% women, 68% men, age 57 +/- 13 years;58% were admitted with HG (191, IQR 152-300 mg/dL) and 42% with normoglycemia (NG < 126 mg/dL). Mortality was higher in HG at admission 34 (56.7%) than in NG 13 (30.2%) (p = 0.008). HG was associated with diabetes mellitus 2 and neutrophilia (p < 0.05). The risk of death increases 1.558 times (95% CI 1.118-2.172) if HG is at admission and 1.43 times (95% CI 1.14-1.79) during hospitalization. Maintaining NG throughout the hospitalization contributed independently to survival (RR = 0.083 [95% CI 0.012-0.571], p = 0.011). Conclusion: HG significantly impacts prognosis by increasing mortality more than 50% during hospitalization for COVID-19. Copyright © 2023 Revista Medica del Instituto Mexicano del Seguro Social.

In This Issue of Diabetes Care

The article provides information on a digital health care platform for diabetes that showed improvements in blood glucose levels and weight loss over 24 weeks. The platform includes an Artificial Intelligence system that recognizes foods in photographs and estimates their nutritional values. Additionally, the use of sulfonylureas as an add-on therapy for diabetes does not appear to increase cardiovascular or all-cause mortality risks.

Impact of Kidney Damage on the Course and Prognosis of COVID-19 Infection According to the International Registry <<Analysis of Chronic Non-Infectious Diseases Dynamics After Covid-19 Infection in Adult Patients>>

Objective. To study the course of the new coronavirus infection in patients with chronic kidney disease (CKD), to identify cases of acute kidney injury (AKI) in the setting of COVID-19 infection, and to access the impact of renal function on prognosis in these categories of patients during the acute phase and after hospitalization, at 3, 6, and 12 months after recovery. Materials and methods. The ACTIV and ACTIV 2 registries included men and women older than 18 years with a diagnosis of COVID-19 based on a positive PCR test for COVID-19 and a characteristic chest X-ray or computed tomography chest scan. Results. A total of 9364 patients (4404 men, average age59 [48-69]) were included in the analysis. 716 (7.67 %) patients had CKD. 8496 (90,7 %) patients had their glomerular filtration rate (GFR) measured during hospitalization, and the values were distributed as follows: >=90 ml/min/1.73m2 - in 4289 (50,5 %) patients, 89-60 ml/min/1.73m2 - in 3150 (37,1 %) patients, 59-45 ml/min/1.73m2 - in 613 (7,22 %), 44-30 ml/min/1.73m2 - in 253 (2,98 %), 29-15 ml/min/1.73m2 - in 110 (1,29 %), <15 ml/min/1.73m2 - in 81 (0,95 %) patients. 11.6 % of the subjects (n=1068) developed AKI during hospitalization. This complication was reported more often than cytokine storm (in 7.46 % in 687 patients, p<0,001) or sepsis (in 0.17 % in 16 patients, p=620). CKD increased the risk of death by 3.94-fold in patients with COVID-19 during hospitalization compared with patients without CKD. The mortality of patients with AKI during hospitalization was 3.94 times higher than the mortality of those without AKI. CKD also affected long-term survival after hospitalization: within 3 months of follow-up, the risk of death in patients with CKD increased 4.88-fold, within 6 months - 4.24-fold, after 12 months - 8.36-fold. Conclusion. The prevalence of CKD in COVID-19 patients is similar to that in the general population. AKI developed in 11.6 % of cases with COVID-19 infection and was observed more frequently in patients with overweight and hyperglycemia. CKD and AKI increased the risk of hospital mortality in patients with COVID-19. In the group of patients with CKD, mortality increased in the post-COVID period, 3, 6 and 12 months after. The high mortality rate of patients who had AKI during the coronavirus infection was observed only in the first 3 months of follow-up in the post-COVID period.Copyright © 2023 The authors.

Metformin in COVID-19: Is There a Role Beyond Glycemic Control?

Context: The coronavirus disease 2019 (COVID-19) pandemic is still a cause of worldwide health concern. Diabetes and its associated comorbidities are risk factors for mortality and morbidity in COVID-19. Selecting the right antidiabetic drug to achieve optimal glycemic control might mitigate some of the negative impacts of diabetes. Metformin continues to be the most widely administered antidiabetic agent. There is evidence of its beneficial outcome in COVID-19 independent of its glucose-lowering effect. Evidence Acquisition: A thorough literature search was conducted in PubMed, Google Scholar, Scopus, and Web of Science to identify studies investigating metformin in COVID-19. Result(s): Several overlapping mechanisms have been proposed to explain its antiviral properties. It could bring about conformational changes in the angiotensin-converting enzyme-2 receptor and decrease viral entry. The effects on the mammalian target of the rapamycin pathway and cellular pH have been proposed to reduce viral protein synthesis and replication. The immunomodulatory effects of metformin might counter the detrimental effects of hyperinflammation associated with COVID-19. Conclusion(s): These findings call for broader metformin usage to manage hyperglycemia in COVID-19.Copyright © 2023, International Journal of Endocrinology and Metabolism.

Dysglycemias in patients admitted to ICUs with severe acute respiratory syndrome due to COVID-19 versus other causes - a cohort study.

BACKGROUND: Dysglycemias have been associated with worse prognosis in critically ill patients with COVID-19, but data on the association of dysglycemia with COVID-19 in comparison with other forms of severe acute respiratory syndrome are lacking. This study aimed to compare the occurrence of different glycemic abnormalities in patients with severe acute respiratory syndrome and COVID-19 admitted to intensive care units versus glycemic abnormalities in patients with severe acute respiratory syndrome from other causes, to evaluate the adjusted attributable risk associated with COVID-19 and dysglycemia and to assess the influence of these dysglycemias on mortality. METHODS: We conducted a retrospective cohort of consecutive patients with severe acute respiratory syndrome and suspected COVID-19 hospitalized in intensive care units between March 11 and September 13, 2020, across eight hospitals in Curitiba-Brazil. The primary outcome was the influence of COVID-19 on the variation of the following parameters of dysglycemia: highest glucose level at admission, mean and highest glucose levels during ICU stay, mean glucose variability, percentage of days with hyperglycemia, and hypoglycemia during ICU stay. The secondary outcome was the influence of COVID-19 and each of the six parameters of dysglycemia on hospital mortality within 30 days from ICU admission. RESULTS: The sample consisted of 841 patients, of whom 703 with and 138 without COVID-19. Comparing patients with and without COVID-19, those with COVID-19 had significantly higher glucose peaks at admission (165 mg/dL vs. 146 mg/dL; p = 0.002) and during ICU stay (242 mg/dL vs. 187md/dL; p < 0.001); higher mean daily glucose (149.7 mg/dL vs. 132.6 mg/dL; p < 0.001); higher percentage of days with hyperglycemia during ICU stay (42.9% vs. 11.1%; p < 0.001); and greater mean glucose variability (28.1 mg/dL vs. 25.0 mg/dL; p = 0.013). However, these associations were no longer statistically significant after adjustment for Acute Physiology and Chronic Health Evaluation II scores, Sequential Organ Failure Assessment scores, and C-reactive protein level, corticosteroid use and nosocomial infection. Dysglycemia and COVID-19 were each independent risk factors for mortality. The occurrence of hypoglycemia (< 70 mg/dL) during ICU stay was not associated with COVID-19. CONCLUSION: Patients with severe acute respiratory syndrome due to COVID-19 had higher mortality and more frequent dysglycemia than patients with severe acute respiratory syndrome due to other causes. However, this association did not seem to be directly related to the SARS-CoV-2 infection.

New-Onset Diabetes after COVID-19.

There is evidence suggesting that infection with SARS-CoV-2 can lead to several long-term sequelae including diabetes. This mini-review examines the rapidly evolving and conflicting literature on new-onset diabetes after COVID-19, which we term NODAC. We searched PubMed, MEDLINE, and medRxiv from inception until December 1, 2022 using both MeSH terms and free text words including "COVID-19," "SARS-CoV-2," "diabetes," "hyperglycemia," "insulin resistance," and "pancreatic ß-cell." We also supplemented searches by examining reference lists from retrieved articles. Current evidence suggests that COVID-19 increases the risk of developing diabetes, but the attributable risk is uncertain due to limitations of study designs and the evolving nature of the pandemic, including new variants, widespread population exposure to the virus, diagnostic options for COVID-19 and vaccination status. The etiology of diabetes after COVID-19 is likely multifactorial and includes factors associated with host characteristics (e.g., age), social determinants of health (e.g., deprivation index), and pandemic-related effects both at the personal (e.g., psychosocial stress) and the societal-community level (e.g., containment measures). COVID-19 may have direct and indirect effects on pancreatic ß-cell function and insulin sensitivity related to: the acute infection and its treatment (e.g., glucocorticoids); autoimmunity; persistent viral residency in multiple organs including adipose tissue; endothelial dysfunction; and hyperinflammatory state. While our understanding of NODAC continues to evolve, consideration should be given for diabetes to be classified as a post-COVID syndrome, in addition to traditional classifications of diabetes (e.g., type 1 or type 2), so that the pathophysiology, natural history and optimal management can be studied.