Glucocorticoid-Induced Hyperglycemia Including Dexamethasone-Associated Hyperglycemia in COVID-19 Infection: A Systematic Review

Continuous glucose monitoring profile in COVID-19 patients with and without diabetes receiving methylprednisolone

PURPOSE

Methylprednisolone is widely used during the COVID-19 epidemic. We aimed to evaluate the glucose profile of COVID-19 patients with and without diabetes receiving methylprednisolone.

METHODS

36 patients with COVID-19 admitted to hospital were included: 17 with and 19 without diabetes. Methylprednisolone 40 mg was administered at about 9:00 a.m. Glucose levels were assessed by blinded intermittently scanned continuous glucose monitoring (isCGM) for an average of 6.8 ± 2.4 days. Excess hyperglycemia was defined as time above range (TAR) > 10.0 mmol/L (TAR>10.0) ≥ 25%, or TAR > 13.9 mmol/L (TAR>13.9) ≥ 10%.

RESULTS

Glucose management indicator (GMI) was significantly higher than the admission glycated hemoglobin A1c (HbA1c) level in patients without diabetes [6.7 (6.1-7.0) % vs. 5.9 (5.9-6.1) %, P < 0.001], while no significant difference was found in patients with diabetes [9.0 (7.5-9.5) % vs. 8.9 (7.5-10.2) %, P > 0.05]. The difference between GMI and HbA1c (∆GMI-HbA1c) in patients without diabetes was significantly higher than in patients with diabetes [0.7 (0.2-1.0) % vs. -0.2 (-1.5-0.5) %, P = 0.005]. The circadian patterns of glucose were similar in the two groups. In patients without diabetes, excess hyperglycemia occurred in 31.6% (6/19) of participants, with 31.6% (6/19) having a TAR>10.0 ≥ 25%, while 21.1% (4/19) had a TAR>13.9 ≥ 10%.

CONCLUSION

The impact of methylprednisolone on glycemia was more pronounced in COVID-19 patients without diabetes, compared to those with diabetes. A significant burden of methylprednisolone-induced hyperglycemia was observed in patients without diabetes.

Glucocorticoid-Induced Hyperglycemia: A Neglected Problem

Glucocorticoids provide a potent therapeutic response and are widely used to treat a variety of diseases, including coronavirus disease 2019 (COVID-19) infection. However, the issue of glucocorticoid-induced hyperglycemia (GIH), which is observed in over one-third of patients treated with glucocorticoids, is often neglected. To improve the clinical course and prognosis of diseases that necessitate glucocorticoid therapy, proper management of GIH is essential. The key pathophysiology of GIH includes systemic insulin resistance, which exacerbates hepatic steatosis and visceral obesity, as well as proteolysis and lipolysis of muscle and adipose tissue, coupled with β-cell dysfunction. For patients on glucocorticoid therapy, risk stratification should be conducted through a detailed baseline evaluation, and frequent glucose monitoring is recommended to detect the onset of GIH, particularly in high-risk individuals. Patients with confirmed GIH who require treatment should follow an insulin-centered regimen that varies depending on whether they are inpatients or outpatients, as well as the type and dosage of glucocorticoid used. The ideal strategy to maintain normoglycemia while preventing hypoglycemia is to combine basal-bolus insulin and correction doses with a continuous glucose monitoring system. This review focuses on the current understanding and latest evidence concerning GIH, incorporating insights gained from the COVID-19 pandemic.

New-Onset Diabetes Mellitus in COVID-19: A Scoping Review

INTRODUCTION

The coronavirus disease 2019 (COVID-19) pandemic became superimposed on the pre-existing obesity and diabetes mellitus (DM) pandemics. Since COVID-19 infection alters the metabolic equilibrium, it may induce pathophysiologic mechanisms that potentiate new-onset DM, and we evaluated this issue.

METHOD

A systematic review of the literature published from the 1 January 2020 until the 20 July 2023 was performed (PROSPERO registration number CRD42022341638). We included only full-text articles of both human clinical and randomized controlled trials published in English and enrolling adults (age > 18 years old) with ongoing or preceding COVID-19 in whom hyperglycemia was detected. The search was based on the following criteria: "(new-onset diabetes mellitus OR new-onset DM) AND (COVID-19) AND adults".

RESULTS

Articles on MEDLINE (n = 70) and the Web of Science database (n = 16) were included and analyzed by two researchers who selected 20 relevant articles. We found evidence of a bidirectional relationship between COVID-19 and DM.

CONCLUSIONS

This link operates as a pathophysiological mechanism supported by epidemiological data and also by the clinical and biological findings obtained from the affected individuals. The COVID-19 pandemic raised the incidence of DM through different pathophysiological and psychosocial factors.

Clinical and electrocardiographic correlates of myocardial dysfunction after COVID-19 in nonhospitalised patients in long-term follow-up. Data from the polish long-covid cardiovascular study

Clinical evidence indicates that COVID-19 is a multiorgan disease that significantly impacts the cardiovascular system. However, little is known about the predictors of myocardial dysfunction after SARS-CoV-2 infection. Therefore, this research aimed to evaluate the clinical and electrocardiographic correlates of myocardial dysfunction after SARS-CoV-2 infection in nonhospitalised patients without previously diagnosed cardiovascular disease. This observational study included 448 patients selected from the database of 4142 patients in the Polish Long-Covid Cardiovascular study. All patients underwent a 12-lead electrocardiogram (ECG); 24-h Holter ECG monitoring, 24/7 ambulatory blood pressure monitoring, echocardiography, and cardiac magnetic resonance imaging. According to the results of diagnostic tests, patients were divided into two groups depending on the occurrence of myocardial dysfunction after COVID-19. Group 1-without myocardial dysfunction after COVID-19-consisted of 419 patients, with a mean age of 48.82 (SD ± 11.91), and Group 2 (29 patients)-with myocardial dysfunction after COVID-19, with a mean age of 51.45 (SD ± 12.92). When comparing the analysed groups, there were significantly more men in Group 2 (p = 0.006). QRS (corresponds to the time of ventricular contraction in an electrocardiographic examination) fragmentation (p = 0.031), arrhythmias (atrial fibrillation, supraventricular extrasystole, ventricular extrasystole) (p = 0.008), and male gender (p = 0.007) were independently associated with myocardial dysfunction after COVID-19. The study showed that myocardial damage after COVID-19 affects men more often and is independent of typical clinical factors and the severity of the disease course. The QRS fragmentation and arrhythmias observed in the ECG indicate the possibility of myocardial dysfunction in patients after COVID-19, which may be a valuable marker for physicians.

Corticosteroids in COVID-19: pros and cons

The wide and rapid spread of the COVID-19 pandemic has placed an unanticipated burden on the global healthcare sector. This necessitated a swift response from the international community to reach a solution. Efforts were made in parallel to develop preventative and therapeutic modalities. Since then, drug repurposing has blossomed as a potentially rapid resolution and has included various agents with anti-viral and anti-inflammatory properties. Corticosteroids, being potent anti-inflammatory agents, have been placed under extensive investigation. Various trials have recorded the beneficial outcome of corticosteroids in decreasing the mortality and morbidity of COVID-19. With the high pace of escalating events, the quality and study design of clinical trials are varied. Therefore, this study aims to explore the role of corticosteroids in COVID-19 disease. It inspects the molecular, pharmacologic, and clinical proof behind this theory.

Newly detected diabetes during the COVID-19 pandemic: What have we learnt?

The SARS-CoV-2 pandemic has had an unprecedented effect on global health, mortality and healthcare provision. Diabetes has emerged as a key disease entity over the pandemic period, influencing outcomes from COVID-19 but also a tantalising hypothesis that the virus itself may be inducing diabetes. An uptick in diabetes cases over the pandemic has been noted for both type 1 diabetes (in children) and type 2 diabetes but understanding how this increase in incidence relates to the pandemic is challenging. It remains unclear whether indirect effects of the pandemic on behaviour, lifestyle and health have contributed to the increase; whether the virus itself has somehow mediated new-onset diabetes or whether other factors such as stress hyperglycaemic of steroid treatment during COVID-19 infection have played a roll. Within the myriad possibilities are some real challenges in interpreting epidemiological data, assigning diabetes type and understanding what in vitro data are telling us. In this review article we address the issue of newly-diagnosed diabetes during the pandemic, reviewing both epidemiological and basic science data and bringing together both strands of this emerging story.

Insight on Infections in Diabetic Setting

The correlation between diabetes mellitus and infectious diseases is widely recognized. DM patients are characterized by the impaired function of the immune system. This translates into the occurrence of a variety of infections, including urinary tract, skin and surgical site infections, pneumonia, tuberculosis, and, more recently, SARS-CoV-2. Hyperglycemia has been identified as a relevant factor contributing to unfavorable outcomes in hospitalized patients including SARS-CoV-2 patients. Several studies have been performed proving that to maintain the proper and stringent monitoring of glycemia, a balanced diet and physical activity is mandatory to reduce the risk of infections and their associated complications. This review is focused on the mechanisms accounting for the increased susceptibility of DM patients to infections, with particular attention to the impact of newly introduced hypoglycemic drugs in sepsis management.

Dexamethasone use and insulin requirements in coronovirus-19 (COVID-19) infection stratified by Hemoglobin A1c

Aims

The study aimed to identify weight-based insulin requirements for dexamethasone-induced hyperglycemia in COVID-19 infection stratified by hemoglobin A1c (HbA1c).

Methods

This retrospective study assessed hospitalized patients ≥ 18 years admitted with COVID-19 and receiving ≥ 1 dose of dexamethasone 6 mG. Daily blood glucose (BG) and insulin doses were collected and organized by HbA1c.

Results

Among 45 patients with available HbA1c, 100% [HbA1c ≥ 7%] and 72% [HbA1c < 7%] developed hyperglycemia (BG ≥180 mG/dL). Median daily insulin (Interquartile Range) (units/kG/day) was 0.03 (0, 0.32) [HbA1c 6–6.9%], 0.1 (0.06, 0.36) [HbA1c 7–7.9%], 0.66 (0.39, 0.69) [HbA1c 8–8.9%], and 0.72 (0.63, 0.78) [HbA1c ≥ 9%]. On day 10 of dexamethasone, when majority of patients were at goal BG, patients required 0.07 (0.01, 0.31) [HbA1c 6–6.9%], 0.59 (0.11, 0.75) [HbA1c 7–7.9%], 1.15 (0.95, 1.35) [HbA1c 8–8.9%], and 1.14 units/kG/day [HbA1c ≥ 9%]. Of 24 patients completing 10 days of dexamethasone, 25% experienced hypoglycemia (BG < 70 mG/dL) upon discontinuation.

Conclusion

Patients with higher HbA1c experienced greater dexamethasone-induced hyperglycemia and required higher insulin doses. Inpatient insulin dosing algorithms should take into consideration baseline HbA1c to avoid delays in achieving normoglycemia.

Control of blood glucose levels by an artificial pancreas in patients with severe coronavirus disease 2019 pneumonia

BACKGROUND

Many patients with severe coronavirus disease 2019 (COVID-19) pneumonia experience hyperglycemia. It is often difficult to control blood glucose (BG) levels in such patients using standard intravenous insulin infusion therapy. Therefore, we used an artificial pancreas. This study aimed to compare the BG status of the artificial pancreas with that of standard therapy.

METHODS

Fifteen patients were included in the study. BG values and the infusion speed of insulin and glucose by the artificial pancreas were collected. Arterial BG and administration rates of insulin, parenteral sugar, and enteral sugar were recorded during the artificial pancreas and standard therapy. The target BG level was 200 mg/dl.

RESULTS

Arterial BG was highly correlated with BG data from the artificial pancreas. A higher BG slightly increased the difference between the BG data from the artificial pancreas and arterial BS. No significant difference in arterial BG was observed between the artificial pancreas and standard therapy. However, the standard deviation with the artificial pancreas was smaller than that under standard therapy (p < 0.0001). More points within the target BG range were achieved with the artificial pancreas (180-220 mg/dl) than under standard therapy. The hyperglycemic index of the artificial pancreas (8.7 ± 15.6 mg/dl) was lower than that of standard therapy (16.0 ± 21.5 mg/dl) (p = 0.0387). No incidence of hypoglycemia occurred under the artificial pancreas.

CONCLUSIONS

The rate of achieving target BG was higher using artificial pancreas than with standard therapy. An artificial pancreas helps to control BG in critically ill patients.