High fasting plasma glucose (HFPG) is a known risk factor for Alzheimer's disease (AD). This study aims to analyze global trends in AD death rates and disability-adjusted life years (DALYs) rates attributable to HFPG from 1990 to 2021 and assess the potential of glucose-related biomarkers in predicting cognitive impairment.

Data from the Global Burden of Disease 2021 database were used to analyze AD death rates and DALY rates due to HFPG across 204 countries. All rates were age-standardized. Joinpoint regression, age-period-cohort models, and ARIMA were employed to analyze trends and make future predictions. NHANES data were used to build machine learning models (including logistic regression, SVM, random forests, etc). to evaluate glucose-related biomarkers in predicting cognitive impairment.

From 1990 to 2019, global AD death rates attributable to HFPG increased from 2.64 (95% UI: 0.11, 8.38) to 3.73 (95% UI: 0.15, 11.84), with the highest increases in high-income North America, North Africa, and Sub-Saharan Africa. DALY rates also rose globally, from 47.07 (95% UI: 2.72, 126.46) to 66.42 (95% UI: 3.83, 178.85). The greatest impact was observed in females, particularly those aged 80 and above. Joinpoint analysis indicated a significant rise in death rates from 1995 to 2000, followed by a slower increase in recent years. ARIMA model predictions indicate a gradual decline in death rates and DALY rates over the next 15 years. Logistic regression models showed the highest accuracy (90.4%) in predicting cognitive impairment, with 2-hour postprandial glucose and fasting plasma glucose being key predictors.

From 1990 to 2021, global AD death rates and DALY rates due to HFPG significantly increased, with a greater burden in females and regions with higher socio-demographic development. Machine learning models are effective tools for identifying individuals at high risk of elevated blood glucose leading to cognitive impairment.

Coronavirus Disease 2019 (COVID-19), caused by the novel coronavirus, has posed a significant threat to global public health, leading to substantial morbidity, mortality, and strain on healthcare resources. Despite the availability of vaccines and treatments, effective biomarkers for predicting disease progression remain limited. This study aimed to investigate the prognostic value of soluble fms-like tyrosine kinase-1 (sFlt-1) in COVID-19 patients.

A prospective cohort study was conducted involving 154 COVID-19 patients, with comprehensive clinical data and laboratory parameters analyzed to evaluate the effectiveness of sFlt-1 in determining disease severity and prognosis.

The results revealed that sFlt-1 levels correlated significantly with disease severity, showing higher levels in severe/critical cases compared to mild cases (P<0.05). In the deceased group, sFlt-1 levels were notably higher compared to survivors, with an area under the curve (AUC) of 0.840, showing good predictive power for 28-day mortality. Multivariable logistic regression identified sFlt-1, respiratory rate, and albumin as independent prognostic factors, with a combined AUC of 0.938 (95% CI: 0.886-0.991) for predicting mortality risk.

These findings underscore the potential of sFlt-1 as a valuable biomarker for clinical decision-making in managing COVID-19 patients. Future studies should focus on the clinical application of sFlt-1 and explore its underlying mechanisms to enhance patient management strategies.

Diabetes mellitus (DM) is a persistent condition characterized by high levels of glucose in the blood due to irregularities in the secretion of insulin, its action, or both. The disease was believed to be incurable until insulin was extracted, refined, and produced for sale. In DM, insulin delivery devices and insulin analogs have improved glycemic management even further. Sulfonylureas, biguanides, alpha-glucosidase inhibitors, and thiazolidinediones are examples of newer-generation medications having high efficacy in decreasing hyperglycemia as a result of scientific and technological advancements. Incretin mimetics, dual glucose-dependent insulinotropic polypeptide, GLP-1 agonists, PPARs, dipeptidyl peptidase-4 inhibitors, anti-CD3 mAbs, glucokinase activators, and glimins as targets have all performed well in recent clinical studies. Considerable focus was placed on free FA receptor 1 agonist, protein tyrosine phosphatase-1B inhibitors, and Sparc-related modular calcium-binding protein 1 which are still being studied. Theranostics, stem cell therapy, gene therapy, siRNA, and nanotechnology are some of the new therapeutic techniques. Traditional Chinese medicinal plants will also be discussed. This study seeks to present a comprehensive analysis of the latest research advancements, the emerging trends in medication therapy, and the utilization of delivery systems in treating DM. The objective is to provide valuable insights into the application of different pharmaceuticals in the field of diabetes mellitus treatment. Also, the therapeutic approach for diabetic patients infected with COVID-19 will be highlighted. Recent clinical and experimental studies evidence the Egyptian experience. Finally, as per the knowledge of the state of the art, our conclusion and future perspective will be declared.

Background and Objectives: We conducted a retrospective observational study to evaluate the impact of elevated blood glucose levels in patients with SARS-CoV-2 infection and a prior diagnosis of diabetes mellitus (DM) or newly diagnosed hyperglycemia. Materials and Methods: This study analyzed 6065 patients admitted to the COVID-19 departments of the "Marius Nasta" National Institute of Pulmonology in Bucharest, Romania, between 26 October 2020 and 5 January 2023. Of these, 813 patients (13.40%) were selected for analysis due to either a pre-existing diagnosis of DM or hyperglycemia at the time of hospital admission. Results: The erythrocyte sedimentation rate (ESR) and C-reactive protein (CRP) levels were elevated in patients with blood glucose levels exceeding 300 mg/dL. These elevations correlated with the presence of respiratory failure and increased mortality rates. Additionally, oxygen requirements were significantly higher at elevated blood glucose levels (p < 0.001), with a direct relationship between glycemia and oxygen demand. This was accompanied by lower oxygen saturation levels (p < 0.001). Maximum blood glucose levels were associated with the severity of respiratory failure (AUC 0.6, 95% CI: 0.56-0.63, p < 0.001). We identified cut-off values for blood glucose at admission (217.5 mg/dL) and maximum blood glucose during hospitalization (257.5 mg/dL), both of which were associated with disease severity and identified as risk factors for increased mortality. Conclusions: High blood glucose levels, both at admission and during hospitalization, were identified as risk factors for poor prognosis and increased mortality in patients with SARS-CoV-2 infection, regardless of whether the hyperglycemia was due to a prior diagnosis of DM or was newly developed during the hospital stay. These findings underscore the importance of glycemic control in the management of hospitalized COVID-19 patients.

Diabetes mellitus (DM) is recognized and classified as a group of conditions marked by persistent high blood glucose levels. It is also an inflammatory condition that may influence concurrent disease states, including Coronavirus Disease 2019 (COVID-19). Currently, no effective drug has been found to treat COVID-19, especially in DM patients. Many herbal medicines, such as the well-known Andrographis paniculata, have been explored as drugs and complementary therapies due to their antidiabetic, antibacterial, antiviral, anti-inflammatory, and immunomodulatory effects. This study aimed to examine the potential of herbal medicines as complementary therapy in DM patients with COVID-19 complications, drawing from in-vitro and in-vivo investigations. This study analyzed articles published within the last 15 years using keywords including "herbal medicines", "COVID-19", "Diabetes Mellitus", "antidiabetics", "antiviral", and "anti-inflammatory". The results showed that several herbal medicines could serve as complementary therapy for DM patients with COVID-19 complications. These include Andrographis paniculata, Ageratum conyzoides, Artocarpus altilis, Centella asiatica, Momordica charantia, Persea gratissima, Phyllanthus urinaria, Physalis angulata, Tinospora cordifolia, and Zingiber zerumbet. Herbal medicines may serve as a complementary therapy for DM patients with COVID-19, but these claims need experimental validation in infection models and among affected patients.

Critically ill COVID-19 patients are usually subjected to clinical, laboratory, and radiological diagnostic procedures resulting in numerous findings. Utilizing these findings as indicators for disease progression or outcome prediction is particularly intriguing.

Exploring the significance of dynamic changes in haematological and biochemical parameters in predicting the mortality of critically ill COVID-19 patients.

The present study was a prospective and observational study involving mechanically ventilated 75 critically ill adult COVID-19 patients with hypoxemic respiratory failure. The collected data included baseline patient characteristics, treatment options, outcome, and laboratory findings at admission and 7 days after. The dynamics of the obtained findings were compared between survivors and non-survivors.

The 28-day survival rate was 61.3%. In the group of non-survivors significant dynamic changes were found for C-reactive protein (p= 0.001), interleukin-6 (p< 0.001), lymphocyte (p= 0.003), neutrophil-lymphocyte ratio (p= 0.003), platelets (p< 0.001), haemoglobin (p< 0.001), iron (p= 0.012), and total iron-binding capacity (p< 0.001). Statistically significant changes over time were found for ferritin (p= 0.010), D-dimer (p< 0.001), hs-troponin T (p< 0.002), lactate dehydrogenase (p= 0.001), glucose (p= 0.023), unsaturated iron-binding capacity (p= 0.008), and vitamin D (p< 0.001).

The dynamic changes in inflammatory, haematological and biochemical parameters can predict disease severity, and outcome.

To investigate determinants of new onset diabetes after COVID-19 (NODAC) and its recovery at 6 months.

This was an observational follow up study conducted from August, 2020 to July, 2023, recruiting patients with preexisting DM and COVID 19 patients with no history of DM. Multivariate regression analysis was used to determine the factors responsible for severity of COVID 19 infection in preexisting DM group. Clinical, laboratory and glycometabolic parameters were estimated at baseline and 6 months in NODAC and euglycemic group to determine the factors responsible for NODAC and its persistence at 6 months.

Of 1310 patients, 855 (65.3%) COVID 19 patients were further divided based on their glycemic status: preexisting DM (19%), NODAC (8.5%) and euglycemia (72.5%). Older age and male gender were independent risk factors for severe COVID 19 disease in patients with preexisting diabetes. Prevalence of NODAC in present study was 8.5%. Patients with NODAC had higher mean fasting blood glucose (FBG), random blood glucose (RBG) and HbA1c at baseline as compared to COVID with euglycemic group with no difference in serum C-peptide levels. Female gender, family history of DM, signs of insulin resistance, higher BMI, WHR, HbA1c, serum insulin levels, FBG and RBG predicted persistence of NODAC at 6 months.

Preexisting DM is a risk factor for severe COVID 19 disease. Patients with NODAC have evidence of persistence insulin resistance on follow up, underscoring the need for long term glycemic monitoring.

The COVID-19 pandemic has prompted the exploration of effective treatment options, with dexamethasone emerging as a key corticosteroid for severe cases. This review evaluates the efficacy and safety of dexamethasone, highlighting its ability to reduce mortality rates, alleviate acute respiratory distress syndrome (ARDS), and mitigate hyperinflammation. While dexamethasone shows therapeutic promise, potential adverse effects-including cardiovascular issues, neuropsychiatric complications, lung infections, and liver damage-necessitate careful monitoring and individualized treatment strategies. The review also addresses the debate over using dexamethasone alone versus in combination with other therapies targeting SARS-CoV-2, examining potential synergistic effects and drug resistance. In summary, dexamethasone is a valuable treatment option for COVID-19 but its risks highlight the need for tailored surveillance approaches. Further research is essential to establish clear guidelines for optimizing treatment and improving patient outcomes.

COVID-19 infection is associated with an increased risk of severe illness and adverse outcomes in individuals with immunocompromising conditions. Immunocompromised patients may have difficulty with viral clearance, which can lead to persistent infection and potential relapses in viral replication.

Herein, we present four cases of persistent COVID-19 pneumonia in immunocompromised patients, including those with diffuse large B-cell lymphoma, polyarteritis nodosa, and end-stage renal disease post-kidney transplant. Three patients had previously received rituximab. Notably, all patients in this cohort demonstrated positive anti-receptor binding-domain immunoglobulin G (IgG) and negative anti-nucleocapsid IgG values.

Persistent COVID-19 infection should be considered in the differential diagnosis of immunocompromised patients who exhibit ongoing symptoms or lack of improvement in chest X-ray findings following initial COVID-19 treatment. Early recognition, beyond the diagnosis of post-COVID organizing pneumonia, may significantly improve clinical outcomes with timely and appropriate treatment.

COVID-19 viral infection results in dysregulation of the complement system and a decrease in cortisol and adrenocorticotropin hormone (ACTH) levels. This study aimed to explore the complement system, as well as cortisol and ACTH responses in patients with post-COVID-19 conditions (PCC) and type 2 diabetes mellitus (T2DM).

This study recruited 31 patients with PCC and T2DM (PCC-T2DM), 19 patients with PCC (PCC), 10 patients with T2DM (T2DM), and 10 healthy participants (control). Cortisol and ACTH in the PCC and PCC-T2DM groups were assessed using the insulin tolerance test. In the fasting state, serum samples were collected for proteomic analyses. Spearman correlation analysis was performed between proteins and cortisol, as well as between proteins and ACTH.

Cortisol and ACTH levels were consistently decreased in the PCC and PCC-T2DM groups. Proteomic analyses revealed that most of the differentially abundant proteins (DAPs) in the PCC vs control and PCC-T2DM vs T2DM were involved in the coagulation and complement cascade, and the essential complement C3 was significantly upregulated in the PCC and PCC-T2DM groups when compared to their controls. Additionally, complement-related DAPs in the PCC vs control and PCC-T2DM vs T2DM were significantly correlated with cortisol and ACTH levels. In comparing PCC-T2DM samples with PCC samples, we found that upregulated DAPs were linked to the complement system and other immune system, and most DAPs were negatively correlated with cortisol and ACTH.

Our study revealed that T2DM exacerbated dysregulation of the complement system in patients with PCC, and significant correlations were present between complement protein levels and those of cortisol and ACTH. These results provide novel insights into the dysregulation of complement and endocrine hormones in patients with PCC and T2DM.

Emerging evidence describes the high incidence and strong impact of hyperglycemia on the outcomes of critically ill patients with a diagnosis of COVID-19. Given resource limitations during the COVID-19 pandemic, clinicians moved away from using continuous IV infusions of insulin to manage hyperglycemia.

To evaluate glycemic control in critically ill patients receiving various medication regimens to manage their hyperglycemia.

This retrospective cohort study involved 120 mechanically ventilated adult patients (> 18 years) with COVID-19 who were admitted to the intensive care unit (ICU) between February 2020 and December 2021. The following data were collected for the first 14 days of the ICU admission: blood glucose values (up to 4 times daily), hypoglycemia events, and antihyperglycemic medication regimens.

The use of IV insulin infusions maintained glucose measurements within the target range of 4 to 10 mmol/L more often than any other medication regimen, with 60% of measured values falling within the target range. The use of a sliding-scale insulin regimen maintained 52% of glucose measurements within the target range. Oral hypoglycemic agents performed relatively poorly, with only 12% to 29% of glucose measurements within range. The coadministration of corticosteroids led to worse glycemic control across all medication regimens.

This study confirmed that ICUs should continue using the standard protocol of IV insulin infusion to achieve recommended blood glucose targets in critically ill patients with COVID-19, particularly those receiving corticosteroids.

The COVID-19 pandemic has left a profound mark on global health, leading to substantial morbidity and mortality worldwide. Beyond the immediate symptoms of infection, the emergence of "long COVID", the long-term effects of SARS-CoV-2, has become a significant public health concern. Long COVID is a multifaceted condition affecting various organs and systems, including the cardiovascular, digestive, nervous, and endocrine systems. Individuals diagnosed with polycystic ovary syndrome (PCOS) may face an increased risk of severe COVID-19 symptoms and infection. It is crucial to comprehend how long COVID affects PCOS patients to devise effective treatment and care strategies. Here, we review the detrimental effects of COVID-19 and its long-term effects on reproductive health, endocrine function, inflammation, metabolism, cardiovascular health, body composition, lifestyle, and mental health in patients with PCOS. We offer recommendations for the post-covid-19 management of PCOS, emphasizing the necessity of a comprehensive, multidisciplinary approach to patient care. Furthermore, we discuss prospective research directions, highlighting the significance of continued investigations and clinical trials to evaluate treatment approaches for long COVID and its ramifications in individuals with PCOS.

Acute respiratory distress syndrome (ARDS), a fatal critical disease, is induced by various insults. ARDS represents a major global public health burden, and the management of ARDS continues to challenge healthcare systems globally, especially during the pandemic of the coronavirus disease 2019 (COVID-19). There remains no confirmed specific pharmacotherapy for ARDS, despite advances in understanding its pathophysiology. Debate continues about the potential role of glucocorticoids (GCs) as a promising ARDS clinical therapy. Questions regarding GC agent, dose, and duration in patients with ARDS need to be answered, because of substantial variations in GC administration regimens across studies. ARDS heterogeneity likely affects the therapeutic actions of exogenous GCs. This review includes progress in determining the GC mechanisms of action and clinical applications in ARDS, especially during the COVID-19 pandemic.

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

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

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

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

Hyperglycaemia is a life-threatening risk factor that occurs in both chronic and acute phases and has been linked to causing injury to many organs. Protein modification was triggered by hyperglycaemic stress, which resulted in pathogenic alterations such as impaired cellular function and tissue damage. Dysregulation in cellular function increases the condition associated with metabolic disorders, including cardiovascular diseases, nephropathy, retinopathy, and neuropathy. Hyperglycaemic stress also increases the proliferation of cancer cells. The major areas of experimental biomedical research have focused on the underlying mechanisms involved in the cellular signalling systems involved in diabetes-associated chronic hyperglycaemia. Reactive oxygen species and oxidative stress generated by hyperglycaemia modify many intracellular signalling pathways that result in insulin resistance and β-cell function degradation. The dysregulation of post translational modification in β cells is clinically associated with the development of diabetes mellitus and its associated diseases. This review will discuss the effect of hyperglycaemic stress on protein modification and the cellular signalling involved in it. The focus will be on the significant molecular changes associated with severe metabolic disorders.

Short-term studies reported improved glycemic control and a decrease in eHbA1c (estimated hemoglobin A1c) in patients with type 1 diabetes during COVID-19 lockdown, but long-term changes are unknown. Therefore, the main objectives are to (1) analyze whether laboratory-measured HbA1c changed during and after two lockdowns and (2) investigate potential variables influencing HbA1c change.

In this cohort study, 291 adults with type 1 diabetes were followed over 3 years including the prepandemic phase and two lockdowns. The data from medical records and validated questionnaires assessing health literacy (HLS-EU-Q16), diabetes self-management (DSMQ-R27), general self-efficacy (GSE), and social support (F-SOZU-K14) were used to analyze associations with HbA1c levels (N = 2370) by performing multivariable linear regressions.

The median age was 54 (38-63) years and 159 (54.6%) were male. All phases of the COVID-19 pandemic were associated with a significant increase in laboratory-measured HbA1c levels in percent (e.g., during first lockdown β = 0.23, 95% confidence interval (CI) 0.07-0.39, p = 0.005; during the second lockdown, β = 0.27, 95% CI 0.15-0.38, p < 0.001). HbA1c change during lockdowns was significantly affected by the number of checkups (β = -0.03, 95% CI -0.05 to -0.01, p = 0.010), the value of HbA1c at previous observation (β = 0.33, 95% CI 0.29-0.36, p < 0.001), educational level (secondary versus tertiary: β = 0.22, 95% CI 0.06-0.38, p = 0.008; primary versus tertiary: β = 0.31, 95% CI 0.10-0.52, p = 0.004), health literacy score (for each point: β = -0.03, 95% CI -0.05 to - 0.002, p = 0.034), and diabetes self-management score (for each point: β =  -0.03, 95% CI -0.04 to -0.02, p < 0.001). The use of continuous glucose monitoring or insulin pump had no effect on HbA1c change.

Lockdowns can lead to worsening glycemic control in patients with type 1 diabetes. Particularly patients with few check-ups, poor blood glucose values, deficits in diabetes self-management, low health literacy, and a low level of education seem to be at greater risk of worsening glycemic control during lockdowns and, therefore, require special medical care, e.g., through telemedicine.

ClinicalTrials.gov identifier, NCT04821921.

The aim of this study was to provide a scoping and comprehensive review for the clinical outcomes from the cross-link of Type 2 diabetes mellitus (T2DM), COVID-19, and sarcopenia.

By using PRISMA guidelines and searching through different databases that could provide findings of evidence on the association of T2DM, COVID-19, and sarcopenia.

Thirty-three studies reported a relationship between sarcopenia with T2DM, twenty-one studies reported the prognosis COVID-19 in patients with T2DM, ten studies reported the prognosis of COVID-19 in patients with sarcopenia, five studies discussed the outcomes of sarcopenia in patients with COVID-19, and one study reported sarcopenia outcomes in the presence of T2DM and COVID-19.

There is an obvious multidimensional relationship between T2DM, COVID-19 and sarcopenia which can cause prejudicial effects, poor prognosis, prolonged hospitalisation, lowered quality of life and a higher mortality rate during the current COVID-19 pandemic.

Diabetes and stress hyperglycemia have been related with poorer clinical outcomes in patients infected by SARS-CoV-2 and at risk for severe disease.

To evaluate clinical outcomes in three groups of patients (with diabetes, without diabetes and with stress hyperglycemia) with SARS-CoV-2 infection.

A retrospective cohort study was conducted in Cali (Colombia). We included patients 18 years old or older with a diagnosis of SARS-CoV-2 infection, managed in the emergency room, hospitalization, or intensive care unit between March 2020 and December 2021. Immunocompromised patients and pregnant women were excluded. Patients were classified into three groups: without diabetes, with diabetes, and with stress hyperglycemia. A comparison between the groups was performed.

A total of 945 patients were included (59.6% without diabetes, 27% with diabetes, and 13.4% with stress hyperglycemia). Fifty-five-point three percent required intensive care unit management, with a higher need in patients with stress hyperglycemia (89.8%) and diabetes (67.1%), with no difference between these groups (p = 0.249). We identified a higher probability of death in the group with stress hyperglycemia versus the one without diabetes (adjusted OR = 8.12; 95% CI: 5.12-12.88; p < 0.01). Frequency of acute respiratory distress syndrome, need for invasive mechanical ventilation, use of vasopressors and inotropes, need for de novo renal replacement therapy, and mortality was higher in patients with metabolic alterations (diabetes and stress hyperglycemia).

Diabetes and stress hyperglycemia were associated with worse clinical outcomes and mortality in patients with COVID-19. These patients should be identified early and considered them high risk at the COVID-19 diagnosis to mitigate adverse outcomes.

The coronavirus disease (COVID-19) pandemic has continued for 5 years. Sporadic cases continue to occur in different locations. Type 2 diabetes mellitus (T2DM) is associated with a high risk of a poor prognosis in patients with COVID-19. Successful control of blood glucose levels can effectively decrease the risks of severe infections and mortality. However, the effects of different treatments were reported differently and even adversely. This retrospective study included 4,922 patients who have been diagnosed as COVID-19 and T2DM from 138 Hubei hospitals. The clinical characteristics and outcomes were compared and calculated their risk for death using multivariate Cox regression and Kaplan-Meier curves. After adjustment of age, sex, comorbidities, and in-hospital medications, metformin and alpha-glucosidase inhibitor (AGI) use performed lower all-cause mortality (adjusted hazard ratio [HR], 0.41; 95% confidence interval [CI]: 0.24-0.71; p = 0.001 for metformin; 0.53, 0.35-0.80, p = 0.002 for AGIs), while insulin use was associated with increased all-cause mortality (adjusted HR, 2.07, 95% CI, 1.61-2.67, p < 0.001). After propensity score-matched (PSM) analysis, adjusted HRs for insulin, metformin, and AGIs associated with all-cause mortality were 1.32 (95% CI, 1.03-1.81; p = 0.012), 0.48 (95% CI, 0.23-0.83, p = 0.014), and 0.59 (95% CI, 0.35-0.98, p = 0.05). Therefore, metformin and AGIs might be more suitable for patients with COVID-19 and T2DM while insulin might be used with caution.

The scarcity of data is likely to have a negative effect on machine learning (ML). Yet, in the health sciences, data is diverse and can be costly to acquire. Therefore, it is critical to develop methods that can reach similar accuracy with minimal clinical features. This study explores a methodology that aims to build a model using minimal clinical parameters to reach comparable performance to a model trained with a more extensive list of parameters. To develop this methodology, a dataset of over 1,000 COVID-19-positive patients was used. A machine learning model was built with over 90% accuracy when combining 24 clinical parameters using Random Forest (RF) and logistic regression. Furthermore, to obtain minimal clinical parameters to predict the mortality of COVID-19 patients, the features were weighted using both Shapley values and RF feature importance to get the most important factors. The six most highly weighted features that could produce the highest performance metrics were combined for the final model. The accuracy of the final model, which used a combination of six features, is 90% with the random forest classifier and 91% with the logistic regression model. This performance is close to that of a model using 24 combined features (92%), suggesting that highly weighted minimal clinical parameters can be used to reach similar performance. The six clinical parameters identified here are acute kidney injury, glucose level, age, troponin, oxygen level, and acute hepatic injury. Among those parameters, acute kidney injury was the highest-weighted feature. Together, a methodology was developed using significantly minimal clinical parameters to reach performance metrics similar to a model trained with a large dataset, highlighting a novel approach to address the problems of clinical data collection for machine learning.

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

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.

Coronavirus disease 2019 (COVID-19) has had a significant impact on global health and healthcare systems. This retrospective study aimed to assess the association between biochemical parameters and outcomes in COVID-19 patients in Jazan, Saudi Arabia.

After establishing the inclusion criteria and obtaining ethical approval, data from 156 reverse transcriptase-polymerase chain reaction (RT-PCR)-confirmed COVID-19 patients were collected from electronic medical records from a general hospital in Samtah, Jazan, from April 2020 to October 2021. The collected data included patient demographics and liver, kidney, heart, and electrolyte function marker levels. Descriptive, inferential, and principal component analyses were conducted.

Survival rates varied according to age and body mass index (BMI). Statistical analysis demonstrated that the levels of aspartate aminotransferase (AST), alanine aminotransferase (ALT), alkaline phosphatase (ALP), sodium (Na), potassium (K), blood urea nitrogen (BUN), creatinine (Cr), creatine kinase (CK), CK myocardial band (MB), and lactate dehydrogenase (LDH) were significantly higher (P < 0.05) than the reference values, as assessed using the one-sample t-test. Principal component analysis (PCA) also revealed an underlying pattern in the variation of these biochemical markers. These findings suggest that certain biochemical parameters may serve as useful indicators for monitoring the condition of COVID-19 patients.

This retrospective study in Jazan, Saudi Arabia highlights the association between biochemical parameters and outcomes in COVID-19 patients. Elevated levels of markers of liver, kidney, heart, and electrolyte function suggest organ damage and dysregulation. The pattern identified through PCA provides insights into disease severity. Monitoring these parameters may serve as valuable indicators for assessing COVID-19 patients. Further research is needed to validate these findings, explore their potential for personalized treatment strategies, and improve patient outcomes during the ongoing pandemic.

The COVID-19 pandemic continues to cause severe global disruption, resulting in significant excess mortality, overwhelming healthcare systems, and imposing substantial social and economic burdens on nations. While most of the attention and therapeutic efforts have concentrated on the acute phase of the disease, a notable proportion of survivors experience persistent symptoms post-infection clearance. This diverse set of symptoms, loosely categorized as long COVID, presents a potential additional public health crisis. It is estimated that 1 in 5 COVID-19 survivors exhibit clinical manifestations consistent with long COVID. Despite this prevalence, the mechanisms and pathophysiology of long COVID remain poorly understood. Alarmingly, evidence suggests that a significant proportion of cases within this clinical condition develop debilitating or disabling symptoms. Hence, urgent priority should be given to further studies on this condition to equip global public health systems for its management. This review provides an overview of available information on this emerging clinical condition, focusing on the affected individuals' epidemiology, pathophysiological mechanisms, and immunological and inflammatory profiles.

Human SARS Coronavirus-2 (SARS-CoV-2) has infected more than 170 million people worldwide, being responsible for about 3.5 million deaths so far. Despite ongoing investigations, there is still more to understand the mechanism of COVID-19 infection completely. However, it has been evidenced that SARS-CoV-2 can cause Coronavirus disease (COVID-19) notably in diabetic people. Approximately 35% of the patients who died of this disease had diabetes. A growing number of studies have evidenced that hyperglycemia is a significant risk factor for severe SARS-CoV-2 infection and plays a key role in COVID-19 mortality and diabetes comorbidity. The uncontrolled hyperglycemia can produce low-grade inflammation and impaired immunity-mediated cytokine storm that fail multiple organs and sudden death in diabetic patients with SARS-CoV-2 infection. More importantly, SARS-CoV-2 infection and interaction with ACE2 receptors also contribute to pancreatic and metabolic impairment. Thus, using of diabetes medications has been suggested to be beneficial in the better management of diabetic COVID-19 patients. Herbal treatments, as safe and affordable therapeutic agents, have recently attracted a lot of attention in this field. Accordingly, in this review, we intend to have a deep look into the molecular mechanisms of diabetic complications in SARS-CoV-2 infection and explore the therapeutic potentials of herbal medications and natural products in the management of diabetic COVID-19 patients based on recent studies and the existing clinical evidence.

Early since the onset of the COVID-19 pandemic, the medical and scientific community were aware of extra respiratory actions of SARS-CoV-2 infection. Endothelitis, hypercoagulation, and hypofibrinolysis were identified in COVID-19 patients as subsequent responses of endothelial dysfunction. Activation of the endothelial barrier may increase the severity of the disease and contribute to long-COVID syndrome and post-COVID sequelae. Besides, it may cause alterations in primary, secondary, and tertiary hemostasis. Importantly, these responses have been highly decisive in the evolution of infected patients also diagnosed with diabetes mellitus (DM), who showed previous endothelial dysfunction. In this review, we provide an overview of the potential triggers of endothelial activation related to COVID-19 and COVID-19 under diabetic milieu. Several mechanisms are induced by both the viral particle itself and by the subsequent immune-defensive response (i.e., NF-κB/NLRP3 inflammasome pathway, vasoactive peptides, cytokine storm, NETosis, activation of the complement system). Alterations in coagulation mediators such as factor VIII, fibrin, tissue factor, the von Willebrand factor: ADAMST-13 ratio, and the kallikrein-kinin or plasminogen-plasmin systems have been reported. Moreover, an imbalance of thrombotic and thrombolytic (tPA, PAI-I, fibrinogen) factors favors hypercoagulation and hypofibrinolysis. In the context of DM, these mechanisms can be exacerbated leading to higher loss of hemostasis. However, a series of therapeutic strategies targeting the activated endothelium such as specific antibodies or inhibitors against thrombin, key cytokines, factor X, complement system, the kallikrein-kinin system or NETosis, might represent new opportunities to address this hypercoagulable state present in COVID-19 and DM. Antidiabetics may also ameliorate endothelial dysfunction, inflammation, and platelet aggregation. By improving the microvascular pathology in COVID-19 and post-COVID subjects, the associated comorbidities and the risk of mortality could be reduced.

Critical illness is often accompanied by elevated blood glucose, which generally correlates with increased morbidity and mortality. Prehospital blood glucose (PBG) level might be a useful and easy-to-perform tool for risk assessment in emergency medicine. This retrospective single-center cohort study was designed to analyze the association of prehospital glucose measurements with hospitalization rate and in-hospital mortality.

Records of 970 patients admitted to a university hospital by an emergency physician were analyzed. Patients with a PBG ≥140 mg/dL (G1, n = 394, equal to 7.8 mmol/L) were compared with patients with a PBG <140 mg/dL (G2, n = 576). Multivariable logistic regression models were used to correct for age, prediagnosed diabetes, and sex.

Five hundred thirty-four patients (55%) were hospitalized. In comparison to normoglycemic patients, hyperglycemic patients were more likely to be hospitalized with an adjusted odds ratio (OR) of 1.48 (95% confidence interval [CI] 1.11-1.97), more likely to be admitted to the intensive care unit (ICU) with an adjusted OR of 1.74 (95% CI 1.31-2.31) and more likely to die in the hospital with an adjusted OR of 1.84 (95% CI 0.96-3.53). Hospitalized hyperglycemic patients had a median length of stay of 6.0 days (interquartile range [IQR] 8.0) compared to 3.0 days (IQR 6.0) in the normoglycemic group (P < 0.001). In the subgroup analysis of cases without known diabetes, patients with PBG ≥140 mg/dL were more likely to be hospitalized with an adjusted OR of 1.49 (95% CI 1.10-2.03) and more likely to be admitted to ICU/intermediate care with an adjusted OR of 1.80 (95% CI 1.32-2.45), compared to normoglycemic patients.

Elevated PBG ≥140 mg/dL was associated with a higher hospitalization risk, a longer length of stay, and a higher mortality risk and may therefore be included in risk assessment scores.

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

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

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

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

The SARS-CoV-2 virus first emerged in China in December 2019 and quickly spread worldwide. Despite the absence of a vaccination or authorized drug specifically developed to combat this infection, certain medications recommended for other diseases have shown potential effectiveness in treating COVID-19, although without definitive confirmation. This review aims to evaluate the existing literature on the efficacy of these medications against COVID-19. The review encompasses various potential treatments, including antiviral medications, anti-malaria and anti-rheumatic drugs, vaccines, corticosteroids, non-steroidal anti-inflammatory drugs (NSAIDs), antipyretic and analgesic medicines, antiparasitic drugs, and statins. The analysis also addresses the potential benefits and drawbacks of these medications, as well as their effects on hypertension and diabetes. Although these therapies hold promise against COVID-19, further research, including suitable product production or clinical testing, is needed to establish their therapeutic efficacy.

Level of evidence: IV.

The COVID-19 lockdown influenced the glycemic control and other metabolic parameters in people with type 1 and 2 diabetes mellitus.

To study the effects of COVID-19 lockdown on glycemic control in people with type 2 diabetes mellitus (T2DM).

Our study group included 120 Romanian people with T2DM from both urban and rural areas. We employed a structured questionnaire with multiple-choice to collect data about DM management during lockdown, the interaction with their diabetologist, the access to treatment, and what other factors influenced their DM management during the lockdown.

We did not observe an increase of numbers of hyper or hypoglycemia during the restriction period in people with T2DM. The number of glycemic imbalances was higher in people treated with insulin than those with oral antidiabetics (OAD) (p=0.003, X2=8.91). Regarding the causes of imbalances, we did not obtain a significant difference during the restriction period, neither between patients following treatment with insulin nor with OAD. On the contrary, we observed that only 26.7% of people with T2DM managed to maintain their weight or lost weight vs 73.3% patients who gained several extra kg (p<0.001, X2=52.26).

The findings of this study have demonstrated that in people with T2DM, the COVID-19 lockdown determines better glycemic control among patients treated with OAD compared to those treated with insulin therapy. Anxiety, stress, and emotions were the main reasons that led to the increase in glycemic values of these patients. Also, most patients have gained weight either due to lack of physical activity or due to stress.

Diabetes mellitus (DM) is one of the most common chronic diseases, the main manifestation of which is hyperglycemia, and is accompanied by many complications. Since the outbreak of the coronavirus disease 2019 (COVID-19) pandemic, several studies have reported the occurrence of various complications associated with different degrees of hyperglycemia in COVID-19 patients. The aim of the present study was to investigate the glycemic characteristics and clinical outcomes in patients with COVID-19.

In this cross-sectional study, 418 patients with COVID-19 were evaluated in terms of hyperglycemia and its related factors, as well as the relationship between hyperglycemia and the outcome of the disease. Data were statistically analyzed using SPSS software.

In the present study, 350 (83.7%) out of 418 hospitalized patients with COVID-19 had hyperglycemia and 193 (55.1%) of the patients with hyperglycemia were women. 169 (48.4%) of patients with hyperglycemia during hospitalization were already diabetic. The mean age was higher in COVID-19 patients with hyperglycemia (P < 0.001), and systolic blood pressure and respiratory rate were also higher in them (P = 0.005 and P = 0.013, respectively). In patients with hyperglycemia, oxygen saturation (SpO2) at the time of admission and discharge was lower than other patients (P < 0.001). The frequency of hypertension in the patients with hyperglycemia was significantly higher than in nonhyperglycemic patients (P < 0.001 vs. 0.014). The estimated glomerular filtration rate (eGFR) of hyperglycemic patients was significantly lower than other patients (P < 0.001). Also, there was a significant inverse relationship between eGFR values and fasting (FBS) and random blood sugar (BS) (r = 0.328 and r = 0.310, P < 0.001). On the other hand, there was a direct relationship between FBS and random BS in patients with hyperglycemia with the dose of corticosteroids (r = 0.146 and r = 0.158, P < 0.01). In total, 8.2% of the patients died, although the FBS and random BS and a history of DM were not risk factors for the death of patients (P < 0.05).

The findings of our study showed that hyperglycemia is highly prevalent in hospitalized patients with COVID-19. Hyperglycemia in previously nondiabetics appears to be associated with decreased eGFR in COVID-19 patients.

The study aimed to determine the effectiveness of early antidiabetic therapy in reversing metabolic changes caused by high-fat and high-sucrose diet (HFHSD) in both sexes.

Elderly Sprague-Dawley rats, 45 weeks old, were randomized into four groups: a control group fed on the standard diet (STD), one group fed the HFHSD, and two groups fed the HFHSD along with long-term treatment of either metformin (HFHSD+M) or liraglutide (HFHSD+L). Antidiabetic treatment started 5 weeks after the introduction of the diet and lasted 13 weeks until the animals were 64 weeks old.

Unexpectedly, HFHSD-fed animals did not gain weight but underwent significant metabolic changes. Both antidiabetic treatments produced sex-specific effects, but neither prevented the onset of prediabetes nor diabetes.

Liraglutide vested benefits to liver and skeletal muscle tissue in males but induced signs of insulin resistance in females.

The global coronavirus disease 2019 (COVID-19) pandemic has caused myriad adverse effects on the pathology of other diseases. Numerous studies on COVID-19 have reported that, in patients with type 2 diabetes mellitus (T2DM) who have contracted severe COVID-19, glucose metabolism is exacerbated by multiple factors, such as severe inflammation, beta-cell dysfunction caused by the SARS-CoV-2 infection itself, corticosteroid therapy, vasopressor administration, and enteral or parenteral nutrition. Very high doses of insulin are often required in the acute phase of such patients; however, the factors that affect insulin requirements and to what extent remain unclear. A 50-year-old Japanese woman and a 67-year-old Japanese man, both with T2DM and obesity, were admitted to our hospital with severe COVID-19. Both patients required mechanical ventilation and were treated with dexamethasone and tocilizumab, an interleukin-6 (IL-6) receptor monoclonal antibody. Subcutaneous insulin injections failed to control the patients' hyperglycemia, requiring up to 1.83 and 1.81 units/kg/day of intravenous insulin, respectively. Insulin requirements were rapidly decreased with improvement of the respiratory condition, termination of dexamethasone, and discontinuation of tube feeding. Both patients were discharged with oral antidiabetic agents alone. We experienced two Japanese patients who achieved satisfactory glycemic control with a lower intravenous insulin dose than previous reports. Comparing the clinical factors with the previous literature, ethnic differences in insulin sensitivity and the administration of IL-6 receptor antibodies may have been related to the relatively low insulin requirements.

BACKGROUND It is well known that diabetes mellitus contributes to COVID-19 severity. Recently, there have been reports of an increase in the number of children with type 1 diabetes after the COVID-19 pandemic. CASE REPORT A 52-year-old woman presented to the Emergency Department with disturbance of consciousness, accompanied by a 1-day history of thirst, a fever of 38°C, and breathlessness. She had a positive coronavirus antigen test. Her initial vital signs assessment showed a heart rate of 120 beats per minute, blood pressure 90/50 mmHg, temperature 37.3°C, and respiratory rate 30 breaths/minute with an oxygen saturation of 100% with 10 L oxygen inhalation. Her initial laboratory test results showed a blood glucose level of 1507 mg/dl, HbA1c of 10.1%, ketone 2+, and blood gas pH 7.113. The patient was diagnosed with diabetic ketoacidosis (DKA). There were mild inflammatory findings with blood CRP 0.14 mg/dl and a white cell count of 12 400/μL, but no pneumonia on a chest CT scan. Therefore, the patient was diagnosed with COVID-19 and DKA. The patient was positive for anti-glutamic acid decarboxylase (anti-GAD antibody) and had markedly low levels 24-h urine C-peptide (CPR). She was diagnosed with acute-onset type 1 diabetes mellitus, as her blood examination showed a postprandial blood glucose level of 100 mg/dl and HbA1c of 5.7% 2 months before admission. After admission, fluid replacement and continuous intravenous insulin infusion therapy were started, and blood glucose and blood gas pH improved over 10 h. CONCLUSIONS There have been reports of cases of type 1 diabetes consequences of COVID-19, but the mechanism has not been elucidated.

Obesity is associated with an increased risk of contracting infections. This study aimed to estimate the risk of COVID-19 infection associated with obesity and to assess its role in the specific antibody response against SARS-CoV-2 in 2021. This study included 980 participants from the State of Mexico who participated in a serological survey where they were tested for SARS-CoV-2 IgG anti-S1/S2 and anti-RBD antibodies and asked for height, weight, and previous infection data via a questionnaire. Of the cohort of 980 participants, 451 (46.02%) were seropositive at the time of recruitment (45.2% symptomatic and 54.8% asymptomatic). The risk of SARS-CoV-2 infection with obesity was 2.18 (95% CI: 1.51-3.16), 2.58 (95% CI: 1.63-4.09), and 1.88 (95% CI: 1.18-2.98) for seropositive, asymptomatic, and symptomatic individuals, respectively, compared to those with normal weight. Anti-S1/S2 and anti-RBD IgG antibodies tended to be higher in overweight and obese participants in the seropositive group and stratified by different obesity classes. Additionally, there was a positive correlation between anti-S1/S2 and anti-RBD IgG antibodies and BMI in both men and women in the seropositive group. Obesity is an independent risk factor for SARS-CoV-2 infection when adjusted for confounding variables; however, the relationship between BMI and anti-S1/S2 and anti-RBD IgG antibody levels differed markedly in the presence or absence of symptoms.

COVID-19 disease, caused by severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), has led to enormous morbidity and mortality worldwide. After gaining entry into the human host, the virus initially infects the upper and lower respiratory tract, subsequently invading multiple organs, including the pancreas. While on one hand, diabetes mellitus (DM) is a significant risk factor for severe COVID-19 infection and associated death, recent reports have shown the onset of DM in COVID-19-recovered patients. SARS-CoV-2 infiltrates the pancreatic islets and activates stress response and inflammatory signaling pathways, impairs glucose metabolism, and consequently leads to their death. Indeed, the pancreatic autopsy samples of COVID-19 patients reveal the presence of SARS-CoV-2 particles in β-cells. The current review describes how the virus enters the host cells and activates an immunological response. Further, it takes a closer look into the interrelationship between COVID-19 and DM with the aim to provide mechanistic insights into the process by which SARS-CoV-2 infects the pancreas and mediates dysfunction and death of endocrine islets. The effects of known anti-diabetic interventions for COVID-19 management are also discussed. The application of mesenchymal stem cells (MSCs) as a future therapy for pancreatic β-cells damage to reverse COVID-19-induced DM is also emphasized.

Diabetes mellitus (DM) represents a relevant risk factor regarding morbidity and mortality worldwide. However, only limited data exist regarding the impact of DM on the clinical outcome of patients with COVID-19 infection.

All hospitalized patients with confirmed COVID-19-infection (ICD-code U07.1) during the year 2020 in Germany were included in the present study. Patients were stratified regarding the co-prevalence of DM (ICD-codes E10-E14), and the impact of DM on in-hospital case fatality and in-hospital adverse events was analyzed.

Overall, 176,137 hospitalizations with confirmed COVID-19 infection were documented; of these, 45,232 (25.7%) patients had an additional diagnosis of DM. Diabetic patients with COVID-19 were more often of male sex and 7 years older (median 76.0 (IQR: 66.0-83.0) vs. 69.0 (52.0-81.0) years, p < 0.001). COVID-19 patients with DM demonstrated an aggravated comorbidity profile, as reflected by a higher Charlson comorbidity index (6.0 (IQR: 4.0-8.0) vs. 3.0 (1.0-5.0), p < 0.001). Risk for pneumonia (OR 1.38 (95% CI: 1.35-1.41), p < 0.001), acute respiratory distress syndrome (OR 1.53 (95% CI: 1.47-1.60), p < 0.001), and need for intensive care (21.3% vs. 13.3%, p < 0.001) were increased in DM patients. DM was an independent risk factor for acute kidney failure (OR 1.49 (95% CI: 1.44-1.53), p < 0.001), dialysis (OR 1.56 (95% CI: 1.47-1.66), p < 0.001), mechanical ventilation (OR: 1.49 (95% CI: 1.43-1.56), p < 0.001), extracorporeal membrane oxygenation (OR 1.44 (95% CI: 1.27-1.62), p < 0.001), major adverse cardiac and cerebrovascular events (OR: 1.24 (95% CI: 1.20-1.27), p < 0.001), and in-hospital mortality (OR: 1.26 (95% CI: 1.22-1.30), p < 0.001).

In patients with COVID-19-infection, DM is a relevant risk factor for adverse events, including mortality. The vulnerable patient group of diabetics with COVID-19 requires intense medical care and monitoring during hospitalization.