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.

Ramadan fasting in people with diabetes and chronic kidney disease (CKD) during the COVID-19 pandemic: The DaR global survey.

BACKGROUND AND AIMS: The DaR Global survey was conducted to observe the impact of the COVID-19 pandemic on the intentions to fast and the outcomes of fasting in people with diabetes and chronic kidney disease (CKD). METHODS: Muslim people with diabetes and CKD were surveyed in 13 countries shortly after the end of Ramadan 2020, using a simple Survey Monkey questionnaire. RESULTS: This survey recruited 6736 people with diabetes, of which 707 (10.49%) had CKD. There were 118 (16.69%) people with type1 diabetes (T1D), and 589 (83.31%) were with type2 diabetes (T2D). 62 (65.24%) people with T1D and 448 (76.06%) people with T2D had fasted with CKD. Episodes of hypoglycaemia and hyperglycaemia were more frequent among people with T1D compared to T2D, 64.52% and 43.54% vs 25.22% and 22.32% respectively. Visits to the emergency department and hospitalization were more frequent among people with CKD, however no significant difference was found between people with T1D and T2D. CONCLUSION: The COVID-19 pandemic had only a minor effect on the intention to fast during Ramadan in people with diabetes and CKD. However, hypoglycaemia and hyperglycaemia were found to be more frequent, as well as emergency visits and hospital admissions among people with diabetic kidney disease. Prospective studies are needed in future to evaluate the risk indicators of hypoglycaemia and hyperglycaemia among fasting people with CKD, especially in the context of different stages of kidney disease.

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.

Association Between Prehospital Blood Glucose Levels and Outcomes in Patients With COVID-19 Infection: A Retrospective Cohort Study.

BACKGROUND: Hyperglycaemia is associated with worse outcomes in many settings. However, the association between dysglycaemia and adverse outcomes remains debated in COVID-19 patients. This study determined the association of prehospital blood glucose levels with acute medical unit (intensive care unit or high dependency unit) admission and mortality among COVID-19-infected patients. METHODS: This was a single-centre, retrospective cohort study based on patients cared for by the prehospital medical mobile unit from a Swiss university hospital between March 2020 and April 2021. All adult patients with confirmed or suspected COVID-19 infection during the study period were included. Data were obtained from the prehospital medical files. The main exposure was prehospital blood glucose level. A 7.8 mmol/L cut-off was used to define high blood glucose level. Restricted cubic splines were also used to analyse the exposure as a continuous variable. The primary endpoint was acute medical unit admission; secondary endpoints were 7-day and 30-day mortality. Multivariable logistic regressions were performed to compute odds ratios. RESULTS: A total of 276 patients were included. The mean prehospital blood glucose level was 8.8 mmol/l, and 123 patients presented high blood glucose levels. The overall acute medical unit admission rate was 31.2%, with no statistically significant difference according to prehospital blood glucose levels. The mortality rate was 13.8% at 7 days and 25% at 30 days. The 30-day mortality rate was higher in patients with high prehospital blood glucose levels, with an adjusted odds ratio of 2.5 (1.3-4.8). CONCLUSIONS: In patients with acute COVID-19 infection, prehospital blood glucose levels do not seem to be associated with acute medical unit admission. However, there was an increased risk of 30-day mortality in COVID-19 patients who presented high prehospital blood glucose levels.

Hyperglycemia and steroid use increase the risk of rhino-orbito-cerebral mucormycosis regardless of COVID-19 hospitalization: Case-control study, India.

BACKGROUND: In the ongoing COVID-19 pandemic, an increased incidence of ROCM was noted in India among those infected with COVID. We determined risk factors for rhino-orbito-cerebral mucormycosis (ROCM) post Coronavirus disease 2019 (COVID-19) among those never and ever hospitalized for COVID-19 separately through a multicentric, hospital-based, unmatched case-control study across India. METHODS: We defined cases and controls as those with and without post-COVID ROCM, respectively. We compared their socio-demographics, co-morbidities, steroid use, glycaemic status, and practices. We calculated crude and adjusted odds ratio (AOR) with 95% confidence intervals (CI) through logistic regression. The covariates with a p-value for crude OR of less than 0·20 were considered for the regression model. RESULTS: Among hospitalised, we recruited 267 cases and 256 controls and 116 cases and 231 controls among never hospitalised. Risk factors (AOR; 95% CI) for post-COVID ROCM among the hospitalised were age 45-59 years (2·1; 1·4 to 3·1), having diabetes mellitus (4·9; 3·4 to 7·1), elevated plasma glucose (6·4; 2·4 to 17·2), steroid use (3·2; 2 to 5·2) and frequent nasal washing (4·8; 1·4 to 17). Among those never hospitalised, age ≥ 60 years (6·6; 3·3 to 13·3), having diabetes mellitus (6·7; 3·8 to 11·6), elevated plasma glucose (13·7; 2·2 to 84), steroid use (9·8; 5·8 to 16·6), and cloth facemask use (2·6; 1·5 to 4·5) were associated with increased risk of post-COVID ROCM. CONCLUSIONS: Hyperglycemia, irrespective of having diabetes mellitus and steroid use, was associated with an increased risk of ROCM independent of COVID-19 hospitalisation. Rational steroid usage and glucose monitoring may reduce the risk of post-COVID.

Sugar is not always sweet: exploring the relationship between hyperglycemia and COVID-19 in a predominantly African American population.

INTRODUCTION: The purpose of this study is to examine the effect of admission glucose in patients hospitalized with COVID-19 with and without diabetes mellitus in a largely African American cohort. DESIGN AND METHODS: This study included 708 adults (89% non-Hispanic Black) admitted with COVID-19 to an urban hospital between 1 March and 15 May 2020. Patients with diabetes were compared with those without and were stratified based on admission glucose of 140 and 180 mg/dL. Adjusted ORs were calculated for outcomes of mortality, intubation, intensive care unit (ICU) admission, acute kidney injury (AKI), and length of stay based on admission glucose levels. RESULTS: Patients with diabetes with admission glucose >140 mg/dL (vs <140 g/dL) had 2.4-fold increased odds of intubation (95% CI 1.2 to 4.6) and 2.1-fold increased odds of ICU admission (95% CI 1.0 to 4.3). Patients with diabetes with admission glucose >180 mg/dL (vs <180 g/dL) had a 1.9-fold increased mortality (95% CI 1.2 to 3.1). Patients without diabetes with admission glucose >140 mg/dL had a 2.3-fold increased mortality (95% CI 1.3 to 4.3), 2.7-fold increased odds of ICU admission (95% CI 1.3 to 5.4), 1.9-fold increased odds of intubation (95% CI 1.0 to 3.7) and 2.2-fold odds of AKI (95% CI 1.1 to 3.8). Patients without diabetes with glucose >180 mg/dL had 4.4-fold increased odds of mortality (95% CI 1.9 to 10.4), 2.7-fold increased odds of intubation (95% CI 1.2 to 5.8) and 3-fold increased odds of ICU admission (95% CI 1.3 to 6.6). CONCLUSION: Our results show hyperglycemia portends worse outcomes in patients with COVID-19 with and without diabetes. While our study was limited by its retrospective design, our findings suggest that patients presenting with hyperglycemia require closer observation and more aggressive therapies.

Stress hyperglycemia ratio, rather than admission blood glucose, predicts in-hospital mortality and adverse outcomes in moderate-to severe COVID-19 patients, irrespective of pre-existing glycemic status.

AIM: To compare admission-blood-glucose (ABG) or stress-hyperglycemia-ratio (SHR) performs better in predicting mortality and worse outcomes in COVID-19 patients with (DM) and without known Type 2 Diabetes Mellitus (UDM). METHODS: ABG and SHR were tested for 451 patients with moderate-severe COVID-19 infection [DM = 216,47.9%; pre-diabetes = 48,10.6%, UDM = 187,41.4%],who were followed-up to look for in-hospital-mortality (primary outcome) and secondary outcomes (ICU stay or mechanical ventilation, hospital-acquired-sepsis and multiple organ dysfunction syndrome [MODS]). Those with and without SHR ≥ 1.14 were compared; logistic regression was done to identify predictors of outcomes, with subgroup analysis based on pre-existing DM status and COVID-19 severity. RESULTS: Those who died (n = 131) or developed ≥ 1 secondary outcomes (n = 218) had higher prevalence of SHR ≥ 1.14, ABG ≥ 180 mg/dl and higher median SHR (pall < 0.01). Those with SHR ≥ 1.14 had higher mortality (53.7%), higher incidence of ≥ 1 secondary outcomes (71.3%) irrespective of pre-existing diabetes status. SHR ≥ 1.14, but not ABG ≥ 180 was an independent predictor of mortality in the whole group (OR: 7.81,4.07-14.98), as also the DM (OR:10.51,4.34-25.45) and UDM (5.40 (1.57-18.55) subgroups. SHR ≥ 1.14 [OR: 4.41 (2.49-7.84)] but not ABG ≥ 180 could independently predict secondary outcomes AUROC of SHR in predicting mortality was significantly higher than ABG in all subgroups. CONCLUSION: SHR better predicts mortality and adverse outcomes than ABG in patients with COVID-19, irrespective of pre-existing chronic glycemic status.

Adverse events of alpelisib: A postmarketing study of the World Health Organization pharmacovigilance database.

AIMS: To explore and describe the adverse reaction signals in the safety reporting for alpelisib. METHODS: We performed a disproportionality analysis of the World Health Organization's VigiBase pharmacovigilance database from 1 January 2019 to 30 June 2021. Disproportionality analysis by information components (ICs) were used to evaluate the potential association between adverse events (AEs) and alpelisib. RESULTS: A total of 33 327 reports were extracted, 5695 of them were chosen with alpelisib as the suspected drug. After combining the same ID, 687 cases remained. The 45-64-years group had the most cases (n = 203, 29.55%). There were 129 Preferred Terms with significant signals. Hyperglycaemia (IC025 = 6.74), breast cancer metastatic (IC025 = 5.85) and metastases to liver (IC025 = 4.70) were the AEs with the strongest signal. AEs with the most cases were hyperglycaemia (n = 595), rash (n = 535) and diarrhoea (n = 475). CONCLUSION: We established a comprehensive list of AEs potentially associated with alpelisib. AEs with the most significant signals were hyperglycaemia, breast cancer metastatic, metastases to liver. The AEs with the most cases were hyperglycaemia, rash, diarrhoea, blood glucose increase and nausea.

Role of secondary sepsis in COVID-19 mortality: Observations on patients with preexisting diabetes mellitus and newly diagnosed hyperglycemia.

Diabetics who develop severe acute respiratory syndrome coronavirus 2 (SARS CoV-2) are more likely to have severe disease, higher odds of intensive care requirement and mortality. Fifteen percent of patients have new onset hyperglycemia. We studied the comparative outcomes between prior DM, newly detected hyperglycemia and assessed role of secondary sepsis on mortality. RWe performed a r etrospective study of confirmed SARS-CoV-2 patients at a tertiary care hospital in Chennai, India. Patients were divided as 2 groups (Group 1: With preexisting diabetes mellitus, Group 2: With newly diagnosed hyperglycemia due to newly detected diabetes mellitus or non-diabetic hyperglycemia. Clinical and laboratory data was analysed. Two hundred and thirty eight patients had prior-diabetes mellitus (Group 1) and 40 had newly diagnosed hyperglycemia (Group 2). Thirty four of group 1 and 7 of group 2 patients required intensive care. Mean capillary blood glucose (MCBG) during hospital stay was 207 mg/dl (Group 1) and 192 mg/dl (Group 2). Twentysix patients (9.3%) had secondary sepsis of which sixteen died. Logistic regression identified secondary sepsis(p<0.0001), elevated D-dimer >6 fold (p= 0.0001), elderly p=0.0045), male (p=0.0006), NLR >5 (p=0.01),serum creatinine ≥2 mg/dl (p=0.0004), FiO2 requirement >0.6 in first 48 hours (p=0.001) as mortality predictors.Our study observed a 14.38 % prevalence of newly diagnosed DM or non-diabetic hyperglycemia. Secondary sepsis and >6 fold elevation in D-dimer were strong predictors of mortality. Steroid use possibly contributed to secondary sepsis. Early identification and aggressive management of secondary sepsis are necessary for diabetics.

Hyperglycemia and blood glucose deterioration are risk factors for severe COVID-19 with diabetes: A two-center cohort study.

We aimed to assess whether blood glucose control can be used as predictors for the severity of 2019 coronavirus disease (COVID-19) and to improve the management of diabetic patients with COVID-19. A two-center cohort with a total of 241 confirmed cases of COVID-19 with definite outcomes was studied. After the diagnosis of COVID-19, the clinical data and laboratory results were collected, the fasting blood glucose levels were followed up at initial, middle stage of admission and discharge, the severity of the COVID-19 was assessed at any time from admission to discharge. Hyperglycemia patients with COVID-19 were divided into three groups: good blood glucose control, fair blood glucose control, and blood glucose deterioration. The relationship of blood glucose levels, blood glucose control status, and severe COVID-19 were analyzed by univariate and multivariable regression analysis. In our cohort, 21.16% were severe cases and 78.84% were nonsevere cases. Admission hyperglycemia (adjusted odds ratio [aOR], 1.938; 95% confidence interval [95% CI], 1.387-2.707), mid-term hyperglycemia (aOR, 1.758; 95% CI, 1.325-2.332), and blood glucose deterioration (aOR, 22.783; 95% CI, 2.661-195.071) were identified as the risk factors of severe COVID-19. Receiver operating characteristic (ROC) curve analysis, reaching an area under ROC curve of 0.806, and a sensitivity and specificity of 80.40% and 68.40%, respectively, revealed that hyperglycemia on admission and blood glucose deterioration of diabetic patients are potential predictive factors for severe COVID-19. Our results indicated that admission hyperglycemia and blood glucose deterioration were positively correlated with the risk factor for severe COVID-19, and deterioration of blood glucose may be more likely to the occurrence of severe illness in COVID-19.

Moderately hyperglycemia as an independent prognostic factor for the worse outcome of COVID-19.

BACKGROUND: Blood sugar (BS) has been proposed as a prognostic factor for COVID-19. In this historical cohort study we evaluated the association between admission time BS and COVID-19 outcome. METHODS: First, hospitalized COVID-19 patients were divided into three groups; Non-diabetic patients with BS < 140 mg/dl (N = 394), non-diabetic patients with BS ≥ 140 mg/dl (N = 113) and diabetic patients (N = 315). Mortality, ICU admission, and length of hospital stay were compared between groups and odds ratio was adjusted using logistic regression. RESULTS: After adjustment with pre-existing conditions and drugs, it was shown that non-diabetic patients with BS ≥ 140 mg/dl are at increased risk of mortality (aOR 1.89 (0.99-3.57)) and ICU admission (aOR 2.62 (1.49-4.59)) even more than diabetic patients (aOR 1.72 (1.07-2.78) for mortality and aOR 2.28 (1.47-3.54) for ICU admission. CONCLUSIONS: Admission time hyperglycemia predicts worse outcome of COVID-19 and BS ≥ 140 mg/dl is associated with a markedly increase in ICU admission and mortality.

Newly diagnosed diabetes vs. pre-existing diabetes upon admission for COVID-19: Associated factors, short-term outcomes, and long-term glycemic phenotypes.

AIMS: High rates of newly diagnosed diabetes mellitus (NDDM) have been reported in association with coronavirus disease-2019 (COVID-19). Factors associated with NDDM and long-term glycemic outcomes are not known. METHODS: Retrospective review of individuals admitted with COVID-19 and diabetes mellitus (DM; based on labs, diagnoses, outpatient insulin use, or severe inpatient hyperglycemia) between March and September 2020, with follow-up through July 2021. RESULTS: Of 1902 individuals admitted with COVID-19, 594 (31.2%) had DM; 77 (13.0%) of these had NDDM. Compared to pre-existing DM, NDDM was more common in younger patients and less common in those of non-Hispanic White race/ethnicity. Glycemic parameters were lower and inflammatory markers higher in patients with NDDM. In adjusted models, NDDM was associated with lower insulin requirements, longer length of stay, and intensive care unit admission but not death. Of 64 survivors with NDDM, 36 (56.3%) continued to have DM, 26 (40.6%) regressed to normoglycemia or pre-diabetes, and 2 were unable to be classified at a median follow-up of 323 days. CONCLUSIONS: Diabetes diagnosed at COVID-19 presentation is associated with lower glucose but higher inflammatory markers and ICU admission, suggesting stress hyperglycemia as a major physiologic mechanism. Approximately half of such individuals experience regression of DM.

Effect of COVID 19 pneumonia on hyperglycemia: Is it different from non COVID pneumonia?

BACKGROUND AND AIMS: Glycemic control in critical illness has been linked to outcomes. We sought to investigate if COVID pneumonia was causing disrupted glycemic control compared to historically similar diseases. METHODS: At Intermountain Healthcare, a 23-hospital healthcare system in the intermountain west, we performed a multicenter, retrospective cohort observational study. We compared 13,268 hospitalized patients with COVID pneumonia to 6673 patients with non -COVID-pneumonia. RESULTS: Patients with COVID-19 were younger had fewer comorbidities, had lower mortality and greater length of hospital stay. Our regression models demonstrated that daily insulin dose, indexed for weight, was associated with COVID-19, age, diabetic status, HgbA1c, admission SOFA, ICU length of stay and receipt of corticosteroids. There was significant interaction between a diagnosis of diabetes and having COVID-19. Time in range for our IV insulin protocol was not correlated with having COVID after adjustment. It was correlated with ICU length of stay, diabetic control (HgbA1C) and prior history of diabetes. Among patients with subcutaneous (SQ) insulin only percent of glucose checks in range was correlated with diabetic status, having Covid-19, HgbA1c, total steroids given and Elixhauser comorbidity score even when controlled for other factors. CONCLUSIONS: Hospitalized patients with COVID-19 pneumonia who receive insulin for glycemic control require both more SQ and IV insulin than the non-COVID-19 pneumonia counterparts. Patients with COVID-19 who received SQ insulin only had a lower percent of glucose checks in range.

Vitamin D Levels Are Associated With Blood Glucose and BMI in COVID-19 Patients, Predicting Disease Severity.

CONTEXT: A high prevalence of vitamin D (VD) deficiency in COVID-19 patients has been reported and hypothesized to increase COVID-19 severity likely because of its negative impact on immune and inflammatory responses. Furthermore, clear associations between hypovitaminosis D and fat body mass excess and diabetes, factors associated with COVID-19 severity, have been widely recognized. OBJECTIVE: The aim of this study was to evaluate in COVID-19 patients the relationship between VD levels and inflammatory response, body mass index (BMI), blood glucose (GLU), and disease severity. METHODS: Patients admitted to San Raffaele-Hospital for COVID-19 were enrolled in this study, excluding those with comorbidities and therapies influencing VD metabolism. 25-Hydroxyvitamin D levels, plasma GLU levels, BMI, and inflammatory parameters were evaluated at admission. RESULTS: A total of 88 patients were included. Median VD level was 16.3 ng/mL and VD deficiency was found in 68.2% of patients. VD deficiency was found more frequently in male patients and in those affected by severe COVID-19. Regression analyses showed a positive correlation between VD and PaO2/FiO2 ratio, and negative correlations between VD and plasma GLU, BMI, neutrophil/lymphocyte ratio, C-reactive protein, and interleukin 6. Patients with both hypovitaminosis D and diabetes mellitus, as well those with hypovitaminosis D and overweight, were more frequently affected by a severe disease with worse inflammatory response and respiratory parameters, compared to those without or just one of these conditions. CONCLUSION: We showed, for the first-time, a strict association of VD levels with blood GLU and BMI in COVID-19 patients. VD deficiency might be a novel common pathophysiological mechanism involved in the detrimental effect of hyperglycemia and adiposity on disease severity.

The second wave of COVID-19 results in outbreak of mucormycosis: diabetes and immunological perspective.

OBJECTIVES: To evaluate the potential relationship between COVID-19 pandemic and mucormycosis outbreak. METHODS: PubMed, Embase, Cochrane Library and Google Scholar were searched for the term "COVID-19 and mucormycosis" up to May 31, 2021. RESULTS: After the second wave of COVID-19, the mucormycosis outbreak complicates the natural course of COVID-19. COVID-19 patients with uncontrolled diabetes mellitus with diabetic ketoacidosis, excessive glucocorticoid use, prolonged neutropenia, malnutrition and any underlying immunocompromised conditions are at risk of developing mucormycosis. CONCLUSIONS: Hyperglycaemia impairs the motility of phagocytes and also decreases the oxidative and non-oxidative mechanism of killing the causative pathogen. Chronic hyperglycemia also leads to the formation of advanced glycation end-products (AGE), which leads to cross-linking between key proteins of inflammation and connective tissue such as collagen which makes tissue susceptible to immunological dysregulation. The receptor for AGE (RAGE) is expressed on various inflammatory cells including neutrophils and its activation by AGEs leads to activation of many down signaling pathways which ultimately leads to impairment of the inflammatory response. Hyperglycemia also increases serum Nitric Oxide (NO), which decreases neutrophil motility and reduces the synthesis and release of various inflammatory mediators such as TNF-α and IL-1ß, IL-6. It also decreases the expression of adhesion molecules such as LFA-1 and ICAM-2, on neutrophils. Steroids cause immunosuppression majorly by inhibiting the NF-κB pathway which is a transcription factor involved in the synthesis of many immunological mediators such as Interleukins, cytokines, chemokines, etc., and various adhesion molecules.

Differentiating transient from persistent diabetic range hyperglycemia in a cohort of people completing tuberculosis treatment in Dhaka, Bangladesh.

BACKGROUND: In recent non-pandemic periods, tuberculosis (TB) has been the leading killer worldwide from a single infectious disease. Patients with DM are three times more likely to develop active TB and poor treatment outcomes. Single glycemic measurements at TB diagnosis may inaccurately diagnose or mischaracterize DM severity. Data are limited regarding glycemic dynamics from TB diagnosis through treatment. METHODS: Prospective study of glycemia dynamics in response to TB treatment measured glycosylated haemoglobin (HbA1c) in patients presenting to TB screening centres in Bangladesh to determine the prevalence and risk factors of hyperglycemia before and at TB treatment completion. RESULTS: 429 adults with active TB disease were enrolled and divided into groups based on history of DM and initial HbA1c range: normoglycemia, prediabetes, and DM. DM was diagnosed in 37%. At treatment completion,14(6%) patients from the normoglycemia and prediabetes groups had HbA1c>6.5%, thus increasing the prevalence of DM to 39%. The number needed to screen to diagnose one new case of DM at TB diagnosis was 5.7 and 16 at treatment completion in the groups without DM. Weight gain>5% at treatment completion significantly increased the risk of hyperglycemia in the groups without DM at TB diagnosis (95% CI 1.23-26.04, p<0.05). CONCLUSION: HbA1c testing prior to and at TB treatment completion found a high prevalence of prediabetes and DM, including a proportion found at treatment completion and commonly in people with a higher percentage of weight gain. Further longitudinal research is needed to understand the effects of TB disease and treatment on insulin resistance and DM complications.

Blood Hemoglobin Substantially Modulates the Impact of Gender, Morbid Obesity, and Hyperglycemia on COVID-19 Death Risk: A Multicenter Study in Italy and Spain.

Background: Hyperglycemia and obesity are associated with a worse prognosis in subjects with COVID-19 independently. Their interaction as well as the potential modulating effects of additional confounding factors is poorly known. Therefore, we aimed to identify and evaluate confounding factors affecting the prognostic value of obesity and hyperglycemia in relation to mortality and admission to the intensive care unit (ICU) due to COVID-19. Methods: Consecutive patients admitted in two Hospitals from Italy (Bologna and Rome) and three from Spain (Barcelona and Girona) as well as subjects from Primary Health Care centers. Mortality from COVID-19 and risk for ICU admission were evaluated using logistic regression analyses and machine learning (ML) algorithms. Results: As expected, among 3,065 consecutive patients, both obesity and hyperglycemia were independent predictors of ICU admission. A ML variable selection strategy confirmed these results and identified hyperglycemia, blood hemoglobin and serum bilirubin associated with increased mortality risk. In subjects with blood hemoglobin levels above the median, hyperglycemic and morbidly obese subjects had increased mortality risk than normoglycemic individuals or non-obese subjects. However, no differences were observed among individuals with hemoglobin levels below the median. This was particularly evident in men: those with severe hyperglycemia and hemoglobin concentrations above the median had 30 times increased mortality risk compared with men without hyperglycemia. Importantly, the protective effect of female sex was lost in subjects with increased hemoglobin levels. Conclusions: Blood hemoglobin substantially modulates the influence of hyperglycemia on increased mortality risk in patients with COVID-19. Monitoring hemoglobin concentrations seem of utmost importance in the clinical settings to help clinicians in the identification of patients at increased death risk.

Relationship between hyperglycemia, waist circumference, and the course of COVID-19: Mortality risk assessment.

An observational study was conducted in Ukraine to determine the independent mortality risks among adult inpatients with COVID-19. The results of treatment of COVID-19 inpatients (n = 367) are presented, and waist circumference (WC) was measured. Logistic regression analysis was applied to evaluate the effects of factors on the risk of mortality. Odds ratios and 95% CIs for the association were calculated. One hundred and three of 367 subjects had fasting plasma glucose level that met the diabetes mellitus criteria (≥7.0 mmol/L), in 53 patients, diabetes mellitus was previously known. Two hundred and eleven patients did not have diabetes or hyperglycemia. Diabetes mellitus/hyperglycemia odds ratio 2.5 (CI 1.0-6.1), p = 0.045 loses statistical significance after standardization by age, waist circumference or fasting plasma glucose. No effect on gender, body mass index-determined obesity, or hypertension was found. The fasting plasma glucose (>8.5 mmol/L), age (≥61 years), and waist circumference (>105 cm) categories were associated with ORs 6.34 (CI 2.60-15.4); 4.12 (CI 1.37-12.4); 8.93 (CI 3.26-24.5), respectively. The optimal model of mortality risk with AUC 0.86 (CI 0.81-0.91) included the diabetes/heperglycemia and age categories as well as waist circumference as a continued variable. Waist circumference is an independent risk factor for mortality of inpatients with COVID-19.

Thromboembolism risk among patients with diabetes/stress hyperglycemia and COVID-19.

PURPOSE: Individuals with diabetes/stress hyperglycemia carry an increased risk for adverse clinical outcome in case of SARS-CoV-2 infection. The purpose of this study was to evaluate whether this risk is, at least in part, modulated by an increase of thromboembolic complications. METHODS: We prospectively followed 180 hospitalized patients with confirmed COVID-19 pneumonia admitted to the Internal Medicine Units of San Raffaele Hospital. Data from 11 out of 180 patients were considered incomplete and excluded from the analysis. We analysed inflammation, tissue damage biomarkers, hemostatic parameters, thrombotic events (TEs) and clinical outcome according to the presence of diabetes/stress hyperglycemia. RESULTS: Among 169 patients, 51 (30.2%) had diabetes/stress hyperglycemia. Diabetes/stress hyperglycemia and fasting blood glucose (FBG) were associated with increased inflammation and tissue damage circulating markers, higher D-dimer levels, increased prothrombin time and lower antithrombin III activity. Forty-eight venous and 10 arterial TEs were identified in 49 (29%) patients. Diabetes/stress hyperglycemia (HR 2.71, p = 0.001), fasting blood glucose (HR 4.32, p < 0.001) and glucose variability (HR 1.6, p < 0.009) were all associated with an increased risk of thromboembolic complication. TEs significantly increased the risk for an adverse clinical outcome only in the presence of diabetes/stress hyperglycemia (HR 3.05, p = 0.010) or fasting blood glucose ≥7 mmol/L (HR 3.07, p = 0.015). CONCLUSIONS: Thromboembolism risk is higher among patients with diabetes/stress hyperglycemia and COVID-19 pneumonia and is associated to poor clinical outcome. In case of SARS-Cov-2 infection patients with diabetes/stress hyperglycemia could be considered for a more intensive prophylactic anticoagulation regimen.

Hyperglycaemia increases mortality risk in non-diabetic patients with COVID-19 even more than in diabetic patients.

AIM: Diabetes has been identified as a risk factor for poor outcomes in patients with COVID-19. We examined the association of hyperglycaemia, both in the presence and absence of pre-existing diabetes, with severity and outcomes in COVID-19 patients. METHODS: Data from 74,148 COVID-19-positive inpatients with at least one recorded glucose measurement during their inpatient episode were analysed for presence of pre-existing diabetes diagnosis and any glucose values in the hyperglycaemic range (>180 mg/dl). RESULTS: Among patients with and without a pre-existing diabetes diagnosis on admission, mortality was substantially higher in the presence of high glucose measurements versus all measurements in the normal range (70-180 mg/dl) in both groups (non-diabetics: 21.7% vs. 3.3%; diabetics 14.4% vs. 4.3%). When adjusting for patient age, BMI, severity on admission and oxygen saturation on admission, this increased risk of mortality persisted and varied by diabetes diagnosis. Among patients with a pre-existing diabetes diagnosis, any hyperglycaemic value during the episode was associated with a substantial increase in the odds of mortality (OR: 1.77, 95% CI: 1.52-2.07); among patients without a pre-existing diabetes diagnosis, this risk nearly doubled (OR: 3.07, 95% CI: 2.79-3.37). CONCLUSION: This retrospective analysis identified hyperglycaemia in COVID-19 patients as an independent risk factor for mortality after adjusting for the presence of diabetes and other known risk factors. This indicates that the extent of glucose control could serve as a mechanism for modifying the risk of COVID-19 morality in the inpatient environment.