Validation in type 2 diabetes of a metabolomic signature of all-cause mortality.

CONTEXT: Mortality in type 2 diabetes is twice that of the normoglycemic population. Unravelling biomarkers that identify high-risk patients for referral to the most aggressive and costly prevention strategies is needed. OBJECTIVE: To validate in type 2 diabetes the association with all-cause mortality of a 14-metabolite score (14-MS) previously reported in the general population and whether this score can be used to improve well-established mortality prediction models. METHODS: This is a sub-study consisting of 600 patients from the "Sapienza University Mortality and Morbidity Event Rate" (SUMMER) study in diabetes, a prospective multicentre investigation on all-cause mortality in patients with type 2 diabetes. Metabolic biomarkers were quantified from serum samples using high-throughput proton nuclear magnetic resonance metabolomics. RESULTS: In type 2 diabetes, the 14-MS showed a significant (p < 0.0001) association with mortality, which was lower (p < 0.0001) than that reported in the general population. This difference was mainly due to two metabolites (histidine and ratio of polyunsaturated fatty acids to total fatty acids) with an effect size that was significantly (p = 0.01) lower in diabetes than in the general population. A parsimonious 12-MS (i.e. lacking the 2 metabolites mentioned above) improved patient discrimination and classification of two well-established mortality prediction models (p < 0.0001 for all measures). CONCLUSIONS: The metabolomic signature of mortality in the general population is only partially effective in type 2 diabetes. Prediction markers developed and validated in the general population must be revalidated if they are to be used in patients with diabetes.

IDegLira for the real-world treatment of type 2 diabetes in Italy. Final results from the REX observational study.

AIM: The study was designed to generate real-world evidence on IDegLira in the Italian clinical practice in two groups of patients with type 2 diabetes (T2D), switching to IDegLira either from a basal only (basal group) or basal-bolus insulin regimen (BB group). MATERIALS AND METHODS: This was a non-interventional, multicentre, single-cohort, prospective study assessing the long-term glycaemic control in patients with T2D, who switched to IDegLira from a basal insulin ± glucose-lowering medication regimen with or without a bolus insulin component for approximately 18 months, conducted in 28 Italian diabetes centres. The primary endpoint was the change in glycated haemoglobin (HbA1c) levels from baseline to 6 months after IDegLira initiation. RESULTS: The study included 358 patients with a mean age 67.2 years and diabetes duration of 15.7 years. HbA1c significantly decreased from IDegLira start to all study time points in the overall population (basal group -1.19%; BB group -0.60% at the end of observation). Patients achieving HbA1c <7% levels increased from 12.9% (n = 43) to 40.3% (n = 110) at 18 months. Fasting blood glucose and body weight also significantly decreased in both groups, although more in the BB group. Overall, 14.3% of completed patients had an intensification of treatment (mainly in the basal group) and 48.6% had a simplification of treatment (mainly in the BB group). CONCLUSIONS: Switching to IDegLira in a real-world clinical setting is a valid therapeutic option for patients with T2D with inadequate glycaemic control on basal or BB insulin regimen and/or need to simplify their insulin therapy, with specific reasons and therapeutic goals according to different T2D management trajectories.

Saxagliptin/dapagliflozin is non-inferior to insulin glargine in terms of ß-cell function in subjects with latent autoimmune diabetes in adults: A 12-month, randomized, comparator-controlled pilot study.

AIM: To compare the efficacy and safety of saxagliptin/dapagliflozin and insulin glargine in people with latent autoimmune diabetes in adults (LADA). METHODS: In this phase 2b multicentre, open-label, comparator-controlled, parallel-group, non-inferiority study, we randomly assigned 33 people with LADA who had a fasting C-peptide concentration ≥0.2 nmol/L (0.6 ng/mL) to receive 1-year daily treatment with either the combination of saxagliptin (5 mg) plus dapagliflozin (10 mg) or insulin glargine (starting dose: 10 IU), both on top of metformin. The primary outcome was the 2-h mixed meal-stimulated C-peptide area under the curve (AUC), measured 12 months after randomization. Secondary outcomes were glycated haemoglobin (HbA1c) levels, change in body mass index (BMI), and hypoglycaemic events. RESULTS: In the modified intention-to-treat analysis, the primary outcome was similar in participants assigned to saxagliptin/dapagliflozin or to insulin glargine (median C-peptide AUC: 152.0 ng*min/mL [95% confidence interval {CI} 68.2; 357.4] vs. 122.2 ng*min/mL [95% CI 84.3; 255.8]; p for noninferiority = 0.0087). Participants randomized to saxagliptin/dapagliflozin lost more weight than those randomized to insulin glargine (median BMI change at the end of the study: -0.4 kg/m2 [95% CI -1.6; -0.3] vs. +0.4 kg/m2 [95% CI -0.3; +1.1]; p = 0.0076). No differences in HbA1c or in the number of participants experiencing hypoglycaemic events were found. CONCLUSIONS: Saxagliptin/dapagliflozin was non-inferior to glargine in terms of ß-cell function in this 12-month, small, phase 2b study, enrolling people with LADA with still viable endogenous insulin production. Weight loss was greater with saxagliptin/dapagliflozin, with no differences in glycaemic control or hypoglycaemic risk.

Hepatic steatosis with significant fibrosis is associated with an increased 10-year estimated risk of cardiovascular disease in adults with type 1 diabetes mellitus.

BACKGROUND: We assessed whether hepatic steatosis with or without significant fibrosis (determined by validated non-invasive biomarkers) is associated with an increased 10-year estimated risk for cardiovascular disease (CVD) in people with type 1 diabetes mellitus (T1DM). METHODS: We conducted a retrospective, multicenter, cross-sectional study involving 1,254 adults with established T1DM without pre-existing CVD. We used the hepatic steatosis index (HSI) and fibrosis (FIB)-4 index for non-invasively detecting hepatic steatosis (defined as HSI > 36), with or without coexisting significant fibrosis (defined as FIB-4 index ≥ 1.3 or < 1.3). We calculated the Steno type 1 risk engine and the atherosclerotic CVD (ASCVD) risk score to estimate the 10-year risk of developing a first fatal or nonfatal CVD event. RESULTS: Using the Steno type 1 risk engine, a significantly greater proportion of patients with hepatic steatosis and significant fibrosis (n = 91) had a high 10-year estimated CVD risk compared to those with hepatic steatosis alone (n = 509) or without steatosis (n = 654) (75.8% vs. 23.2% vs. 24.9%, p < 0.001). After adjustment for sex, BMI, diabetes duration, hemoglobin A1c, chronic kidney disease, and lipid-lowering medication use, patients with hepatic steatosis and significant fibrosis had an increased 10-year estimated risk of developing a first fatal or nonfatal CVD event (adjusted-odds ratio 11.4, 95% confidence interval 3.54-36.9) than those without steatosis. We observed almost identical results using the ASCVD risk calculator. CONCLUSIONS: The 10-year estimated CVD risk is remarkably greater in T1DM adults with hepatic steatosis and significant fibrosis than in their counterparts with hepatic steatosis alone or without steatosis.

Diabetes, COVID-19, and questions unsolved.

Recent evidence suggests a role for Diabetes Mellitus in adverse outcomes from COVID-19 infection; yet the underlying mechanisms are not clear. Moreover, attention has turned to prophylactic vaccination to protect the population from COVID-19-related illness and mortality. We performed a comprehensive peer-reviewed literature search on an array of key terms concerning diabetes and COVID-19 seeking to address the following questions: 1. What role does diabetes play as an accelerator for adverse outcomes in COVID-19?; 2. What mechanisms underlie the differences in outcomes seen in people with diabetes?; 3. Are vaccines against COVID-19 efficacious in people with diabetes? The current literature demonstrates that diabetes is associated with an increased risk of adverse outcomes from COVID-19 infection, and post-COVID sequelae. Potential mechanisms include dysregulation of Angiotensin Converting Enzyme 2, Furin, CD147, and impaired immune cell responses. Hyperglycaemia is a key exacerbator of these mechanisms. Limited studies are available on COVID-19 vaccination in people with diabetes; however, the current literature suggests that vaccination is protective against adverse outcomes for this population. In summary, people with diabetes are a high-risk group that should be prioritised in vaccination efforts. Glycaemic optimisation is paramount to protecting this group from COVID-19-associated risk. Unsolved questions remain as to the molecular mechanisms underlying the adverse outcomes seen in people with diabetes; the functional impact of post-COVID symptoms on people with diabetes, their persistence, and management; how long-term vaccine efficacy is affected by diabetes, and the antibody levels that confer protection from adverse outcomes in COVID-19.

Reduced early response to SARS-CoV2 vaccination in people with type 1 and type 2 diabetes, a 6 months follow-up study: The CoVaDiab study I.

INTRODUCTION: Diabetes mellitus worsens the prognosis of SARS-CoV-2 infection, and vaccination has been the major tool for reducing the risk of hospitalisation, and mortality. The primary aim of this study was to evaluate the response to the SARS-CoV-2 vaccine in subjects with diabetes and controls. Differences between type 1 (T1D) and type 2 (T2D) diabetes and clinical determinants of vaccination response were also evaluated. METHODS: 128 subjects with diabetes (60 with T1D and 62 with T2D) and 202 subjects acting as controls who completed a full vaccination cycle with two doses of mRNA vaccine were enroled. People with previous SARS-CoV-2 infection were excluded. Antibodies (Ab) directed against the spike protein of the SARS-CoV-2 were evaluated at one and 6 months after vaccination. RESULTS: In the whole cohort, the Ab level was higher among women than in men (p = 0.011) and negatively correlated with age (rho = -0.155, p = 0.005). Subjects with diabetes showed decreased levels of Ab after one month compared to controls (1217[747-1887]BAU/mL vs. 1477[942-2556]BAU/mL, p = 0.002), even after correction for age and gender (p = 0.002). No difference was found between subjects with T1D and T2D. After 6 months, antibody levels significantly decreased in people with and without diabetes, with no differences between groups, although some subjects were lost at follow-up. In subjects with diabetes, only a significant correlation was found between Ab level and renal function (rho 0.190, p = 0.042). CONCLUSIONS: Both T1D and T2D are associated with a reduced early response to vaccination. The serum concentration of Ab significantly reduced over time in both groups, highlighting the relevance of vaccination boosters independently of the presence of diabetes.

Association of osteocalcin, osteoprotegerin, and osteopontin with cardiovascular disease and retinopathy in type 2 diabetes.

BACKGROUND: Novel biomarkers of vascular disease in diabetes could help identify new mechanistic pathways. Osteocalcin, osteoprotegerin, and osteopontin are key molecules involved in bone and vascular calcification processes, both of which are compromised in diabetes. We aimed to evaluate possible associations of osteocalcin, osteoprotegerin, and osteopontin with cardiovascular disease (CVD) and diabetic retinopathy (DR) among people with type 2 diabetes (T2D). MATERIALS AND METHODS: Osteocalcin, osteoprotegerin, and osteopontin concentrations were measured at enrolment in 848 participants with T2D from the Sapienza University Mortality and Morbidity Event Rate (SUMMER) Study (ClinicalTrials.gov: NCT02311244). Logistic regression models and propensity score matching were used to assess possible associations of osteocalcin, osteoprotegerin, and osteopontin with a history of CVD and with evidence of any grade of DR adjusting for confounders. RESULTS: Previous CVD was reported in 139 (16.4%) participants, while 144 (17.0%) had DR. After adjusting for possible confounders, osteocalcin but not osteoprotegerin or osteopontin concentrations were associated with a history of CVD (Odds Ratio [OR] and 95% CI for one standard deviation (SD) increase in osteocalcin concentrations (natural log): 1.35 (1.06-1.72), p = 0.014). Associations with prevalent DR were seen for osteoprotegerin (OR for one SD increase in osteoprotegerin concentrations (natural log): 1.25 (1.01-1.55), p = 0.047) and osteopontin (OR for one SD increase in osteopontin concentrations (natural log): 1.25 (1.02-1.53), p = 0.022), but not osteocalcin. CONCLUSIONS: In T2D, higher serum osteocalcin concentrations are associated with macrovascular complications and higher osteoprotegerin and osteopontin concentrations with microvascular complications, suggesting that these osteokines might be involved in pathways directly related to vascular disease.

Impact of baseline kidney function on the effects of sodium-glucose co-transporter-2 inhibitors on kidney and heart failure outcomes: A systematic review and meta-analysis of randomized controlled trials.

AIM: To determine whether the magnitude of the cardiorenal benefits of sodium-glucose co-transporter-2 inhibitors (SGLT2is) varies with baseline kidney function. METHODS: We searched randomized, placebo-controlled trials testing the effects of SGLT2is on renal and cardiovascular outcomes. Efficacy outcomes, stratified by baseline estimated glomerular filtration rate (eGFR) categories, included renal disease progression, a composite heart failure (HF) outcome and mortality. RESULTS: Thirteen trials testing SGLT2is in 90 402 participants with available eGFR data were included. The risk of bias was judged as low for all trials. SGLT2is reduced the relative risks of renal disease progression by 27% to 57% and of HF outcomes by 13% to 32% across different eGFR categories, with an overall low heterogeneity. Meta-regression analyses showed a significant direct relationship between baseline eGFR and the magnitude of SGLT2is' renal protection (P = .003). The greatest risk reduction was in participants with an eGFR of 90 ml/min/1.73m2 or higher (HR 0.43, 95% CI: 0.32-0.58) and the smallest was in those with an eGFR of less than 30 ml/min/1.73m2 (HR 0.73, 95% CI: 0.62-0.86, P < .001). Conversely, for HF, the greatest risk reduction was in those with an eGFR of less than 30 ml/min/1.73m2 (HR 0.68, 95% CI: 0.48-0.96) and the smallest was in those with an eGFR of 90 ml/min/1.73m2 or higher (HR 0.87, 95% CI: 0.56-1.34). CONCLUSIONS: SGLT2is reduce the risk of renal and HF outcomes for all eGFR categories. The greatest benefits in terms of kidney protection may be achieved by early initiation of SGLT2is in people with preserved eGFR. The greatest risk reduction for HF outcomes is observed in people with lower eGFR values.

Lack of Association between Serum Chitotriosidase Activity and Arterial Stiffness in Type 2 Diabetes without Cardiovascular Complications.

Chitotriosidase (CHIT), a mammalian chitinase secreted by neutrophils and activated macrophages, is increased in both cardiovascular disease (CVD) and type 2 diabetes (T2D). Arterial stiffness rises early in T2D and increases the risk of CVD. The aim of this study is to evaluate CHIT activity as an early biomarker of arterial stiffness in people with T2D free from overt vascular complications. In this cross-sectional study, arterial stiffness as measured using standard pulse wave velocity (PWV) was evaluated in 174 people with T2D without overt vascular disease. Then, we measured CHIT serum activity with an electrochemiluminescence assay in two subgroups of participants: 35 with the highest (high-PWV) and 40 with the lowest (low-PWV) PWV values. CHIT activity was no different between the low-PVW and high-PWV groups (12.7 [9.6-17.9] vs. 11.4 [8.8-15.0] nmol/mL/h, respectively). Compared with the low-PWV group, the high-PWV participants were older (p < 0.001); had a longer duration of diabetes (p = 0.03); higher ankle-brachial index ABI (p = 0.04), systolic blood pressure (p = 0.002), diastolic blood pressure (p = 0.005), fasting blood glucose (p = 0.008), and HbA1c (p = 0.005); and lower eGFR (p = 0.03) and body mass index (BMI) (p = 0.01). No association was present with sex, duration of diabetes, age, BMI, peripheral blood pressure, laboratory parameters, and glucose-lowering medications or ongoing antihypertensive therapy. Although no association was found, this study provides novel data about the association of CHIT activity with CVD, focusing on a specific outcome (arterial stiffness) in a well-defined population of subjects with T2D without established CVD.

Development of a clinical risk score to predict death in patients with COVID-19.

OBJECTIVE: To build a clinical risk score to aid risk stratification among hospitalised COVID-19 patients. METHODS: The score was built using data of 417 consecutive COVID-19 in patients from Kuwait. Risk factors for COVID-19 mortality were identified by multivariate logistic regressions and assigned weighted points proportional to their beta coefficient values. A final score was obtained for each patient and tested against death to calculate an Receiver-operating characteristic curve. Youden's index was used to determine the cut-off value for death prediction risk. The score was internally validated using another COVID-19 Kuwaiti-patient cohort of 923 patients. External validation was carried out using 178 patients from the Italian CoViDiab cohort. RESULTS: Deceased COVID-19 patients more likely showed glucose levels of 7.0-11.1 mmol/L (34.4%, p < 0.0001) or >11.1 mmol/L (44.3%, p < 0.0001), and comorbidities such as diabetes and hypertension compared to those who survived (39.3% vs. 20.4% [p = 0.0027] and 45.9% vs. 26.6% [p = 0.0036], respectively). The risk factors for in-hospital mortality in the final model were gender, nationality, asthma, and glucose categories (<5.0, 5.5-6.9, 7.0-11.1, or 11.1 > mmol/L). A score of ≥5.5 points predicted death with 75% sensitivity and 86.3% specificity (area under the curve (AUC) 0.901). Internal validation resulted in an AUC of 0.826, and external validation showed an AUC of 0.687. CONCLUSION: This clinical risk score was built with easy-to-collect data and had good probability of predicting in-hospital death among COVID-19 patients.

Comparative effectiveness of Glargine 300 U/mL vs. Degludec 100 U/mL in patients with type 2 diabetes switching from 1° generation basal insulins.

BACKGROUND AND AIMS: Data on second generation basal insulin (2BI) in people with type 2 diabetes (T2D) generated by clinical trials still need confirmation in real-world clinical settings. This study aimed at assessing the comparative effectiveness of 2BI [Glargine 300 U/mL (Gla-300) vs. Degludec 100 U/mL (Deg-100)] in T2D Italian patients switching from first generation basal insulins (1BI). METHODS AND RESULTS: This was a retrospective, non-inferiority, multicenter study. Patients switching to Gla-300 or Deg-100 from 1BI were 1:1 propensity score matched (PSM). Changes during 6 months in continuous endpoints were assessed through linear mixed models. Incidence rates (IR) of hypoglycemia (episodes per patient-months) were compared using Poisson regression. Each PSM cohort included 593 patients. HbA1c decreased from baseline (8.7%) to 6 months by -0.58% (95%CI -0.69;-0.47) in Gla-300 group and -0.50% (95%CI -0.61;-0.39) in Deg-100 group, confirming the non-inferiority of Gla-300 vs. Deg-100. No between-group differences emerged: FBG was reduced by about 20 mg/dl with both 2BI, mean dose of 2BI (24.5 U, 0.3 U/Kg at the first prescription) was suboptimally titrated during 6 months (+1.34 U in Gla-300 and + 1.76 U in Deg-100), body weight showed minor changes. IR of hypoglycemia <54 mg/dl was 0.32 (95%CI 0.21; 0.49) in Gla-300 group and 0.19 (95%CI 0.11; 0.33) in Deg-100 group (p = 0.14). CONCLUSION: In subjects with T2D, switching to 2BI from 1BI was associated with similar improvements in glycemic control, low hypoglycemia rates and no weight gain in real-life setting. Clinical inertia, represented by late treatment intensification and suboptimal titration, represents a major issue in Italy.

Risk of cardiac autonomic neuropathy in latent autoimmune diabetes in adults is similar to type 1 diabetes and lower compared to type 2 diabetes: A cross-sectional study.

AIMS: Microvascular complications' risk differs between people with latent autoimmune diabetes in adults (LADA) and people with type 2 diabetes. We aimed to investigate whether the prevalence of cardiac autonomic neuropathy, a life-threatening complication of diabetes, also varies depending on diabetes type. METHODS: In this cross-sectional study, 43 adults with LADA, 80 with type 1 diabetes and 61 with type 2 diabetes were screened for cardiac autonomic neuropathy with recommended tests. Logistic regression models were used to test differences between diabetes types adjusting for confounders. RESULTS: Cardiac autonomic neuropathy was diagnosed in 17 (40%) participants with LADA, 21 (26%) participants with type 1 diabetes and 39 (64%) participants with type 2 diabetes (p < 0.001). The odds ratio (OR) for cardiac autonomic neuropathy in type 1 diabetes and in type 2 diabetes compared to LADA were 0.54 (95% CI: 0.25-1.20, p-value: 0.13) and 2.71 (95% CI: 1.21-6.06, p-value 0.015) respectively. Smoking (adj OR 3.09, 95% CI: 1.40-6.82, p-value: 0.005), HDL cholesterol (adj OR 0.29, 95% CI: 0.09-0.93, p-value: 0.037) and hypertension (adj OR 2.11, 95% CI: 1.05-4.24, p-value: 0.037) were independent modifiable risk factors for cardiac autonomic neuropathy. Differences among diabetes types did not change after correction for confounders. CONCLUSIONS: This is the first study offering a comparative evaluation of cardiac autonomic neuropathy among LADA, type 1 and type 2 diabetes, showing a lower risk of cardiac autonomic neuropathy in LADA compared to type 2 diabetes and similar compared to type 1 diabetes. This disparity was not due to differences in age, metabolic control or cardiovascular risk factors.

Differential involvement of myelinated and unmyelinated nerve fibers in painful diabetic polyneuropathy.

BACKGROUND: We aimed at evaluating the differential involvement of large myelinated Aß-, small myelinated Aδ-, and unmyelinated C-fibers in patients with diabetic polyneuropathy and how they contribute to neuropathic pain. METHODS: We collected clinical and diagnostic test variables in 133 consecutive patients with diabetic polyneuropathy. All patients underwent Aß-fiber mediated nerve conduction study, Aδ-fiber mediated laser-evoked potentials and skin biopsy mainly assessing unmyelinated C-fibers. RESULTS: Pure large-fiber and small-fiber polyneuropathy were relatively uncommon; conversely mixed-fiber polyneuropathy was the most common type of diabetic polyneuropathy (74%). The frequency of neuropathic pain was similar in the three different polyneuropathies. Ongoing burning pain and dynamic mechanical allodynia were similarly associated with specific small-fiber related variables. CONCLUSIONS: Diabetic polyneuropathy mainly manifests as a mixed-fiber polyneuropathy, simultaneously involving Aß-, Aδ-, and C-fibers. In most patients, neuropathic pain is distinctly associated with small-fiber damage. The evidence that the frequency of neuropathic pain does not differ across pure large-, pure small-, and mixed-fiber polyneuropathy, raises the possibility that in patients with pure large-fiber polyneuropathy nociceptive nerve terminal involvement might be undetected by standard diagnostic techniques.

Effects of the COVID-19 lockdown on glycaemic control in subjects with type 2 diabetes: the glycalock study.

AIM: To assess the effect of the coronavirus disease 2019 (COVID-19) lockdown on glycaemic control in subjects with type 2 diabetes (T2D). MATERIALS AND METHODS: In this observational, multicentre, retrospective study conducted in the Lazio region, Italy, we compared the differences in the HbA1c levels of 141 subjects with T2D exposed to lockdown with 123 matched controls with T2D who attended the study centres 1 year before. Basal data were collected from 9 December to 9 March and follow-up data from 3 June to 10 July in 2020 for the lockdown group, and during the same timeframes in 2019 for the control groups. Changes in HbA1c (ΔHbA1c) and body mass index (ΔBMI) during lockdown were compared among patients with different psychological well-being, as evaluated by tertiles of the Psychological General Well-Being Index (PGWBS). RESULTS: No difference in ΔHbA1c was found between the lockdown and control groups (lockdown group -0.1% [-0.5%-0.3%] vs. control group -0.1% [-0.4%-0.2%]; p = .482). Also, no difference was found in ΔBMI (p = .316) or ΔGlucose (p = .538). In the lockdown group, subjects with worse PGWBS showed a worsening of HbA1c (p = .041 for the trend among PGWBS tertiles) and BMI (p = .022). CONCLUSIONS: The COVID-19 lockdown did not significantly impact glycaemic control in people with T2D. People with poor psychological well-being may experience a worsening a glycaemic control because of restrictions resulting from lockdown. These findings may aid healthcare providers in diabetes management once the second wave of COVID-19 has ended.

Cardiometabolic multimorbidity is associated with a worse Covid-19 prognosis than individual cardiometabolic risk factors: a multicentre retrospective study (CoViDiab II).

BACKGROUND: Cardiometabolic disorders may worsen Covid-19 outcomes. We investigated features and Covid-19 outcomes for patients with or without diabetes, and with or without cardiometabolic multimorbidity. METHODS: We collected and compared data retrospectively from patients hospitalized for Covid-19 with and without diabetes, and with and without cardiometabolic multimorbidity (defined as ≥ two of three risk factors of diabetes, hypertension or dyslipidaemia). Multivariate logistic regression was used to assess the risk of the primary composite outcome (any of mechanical ventilation, admission to an intensive care unit [ICU] or death) in patients with diabetes and in those with cardiometabolic multimorbidity, adjusting for confounders. RESULTS: Of 354 patients enrolled, those with diabetes (n = 81), compared with those without diabetes (n = 273), had characteristics associated with the primary composite outcome that included older age, higher prevalence of hypertension and chronic obstructive pulmonary disease (COPD), higher levels of inflammatory markers and a lower PaO2/FIO2 ratio. The risk of the primary composite outcome in the 277 patients who completed the study as of May 15th, 2020, was higher in those with diabetes (Adjusted Odds Ratio (adjOR) 2.04, 95%CI 1.12-3.73, p = 0.020), hypertension (adjOR 2.31, 95%CI: 1.37-3.92, p = 0.002) and COPD (adjOR 2.67, 95%CI 1.23-5.80, p = 0.013). Patients with cardiometabolic multimorbidity were at higher risk compared to patients with no cardiometabolic conditions (adjOR 3.19 95%CI 1.61-6.34, p = 0.001). The risk for patients with a single cardiometabolic risk factor did not differ with that for patients with no cardiometabolic risk factors (adjOR 1.66, 0.90-3.06, adjp = 0.10). CONCLUSIONS: Patients with diabetes hospitalized for Covid-19 present with high-risk features. They are at increased risk of adverse outcomes, likely because diabetes clusters with other cardiometabolic conditions.

Covid-19 and diabetes mellitus: unveiling the interaction of two pandemics.

A novel RNA betacoronavirus causing coronavirus disease 2019 (Covid-19) has now been declared pandemic disease by WHO. Guo et al published the first report of biochemical features in patients with diabetes and the further risk that this disease can determine to the progression of Covid-19. Among different cytokines found significantly higher in patients with diabetes compared to those without, Interleukin-6 (IL-6), which is already increased in conditions of chronic inflammation, may play a more deleterious role in Covid-19 infection. Targeting the overexpression of Il-6 effects with a monoclonal antibody against IL-6 receptor or using Janus Kinase inhibitors may be particularly helpful for treatment of Covid-19 pneumonia in diabetes.

Comparable efficacy with similarly low risk of hypoglycaemia in patient- vs physician-managed basal insulin initiation and titration in insulin-naïve type 2 diabetic subjects: The Italian Titration Approach Study.

AIMS: People with uncontrolled type 2 diabetes (T2DM) often delay initiating and titrating basal insulin. Patient-managed titration may reduce such deferral. The Italian Titration Approach Study (ITAS) compared the efficacy and safety of insulin glargine 300 U/mL (Gla-300) initiation and titration using patient- (nurse-supported) or physician-management in insulin-naïve patients with uncontrolled T2DM. MATERIALS AND METHODS: ITAS was a multicentre, phase IV, 24-week, open-label, randomized (1:1), parallel-group study. Insulin-naïve adults with T2DM for ≥1 year with poor metabolic control initiated Gla-300 after discontinuation of SU/glinides, and were randomized to self-titrate insulin dose (nurse-assisted) or have it done by the physician. The primary endpoint was change in HbA1c . Secondary outcomes included hypoglycaemia incidence and rate, change in fasting self-monitored plasma glucose, patient-reported outcomes (PROs), and adverse events. RESULTS: Three hundred and fifty five participants were included in the intention-to-treat population. At Week 24, HbA1c reduction from baseline was non-inferior in patient- vs physician-managed arms [least squares mean (LSM) change (SE): -1.60% (0.06) vs -1.49% (0.06), respectively; LSM difference: -0.11% (95% CI: -0.26 to 0.04)]. The incidence and rates of hypoglycaemia were similarly low in both arms: relative risk of confirmed and/or severe nocturnal (00:00-05:59 hours) hypoglycaemia was 0.77 (95% CI: 0.27 to 2.18). No differences were observed for improvement in PROs. No safety concerns were reported. CONCLUSIONS: In the T2DM insulin-naïve, SU/glinides discontinued population, patient-managed (nurse-assisted) titration of Gla-300 may be a suitable option as it provides improved glycaemic control with low risk of hypoglycaemia, similar to physician-managed titration.

Correction to: "H" for Heterogeneity in the Algorithm for Type 2 Diabetes Management.

The original version of this article unfortunately contained a mistake in the authorgroup section. The authors' given and family names were inadvertently interchanged.

Impact of obesity on the increasing incidence of type 1 diabetes.

Published estimates of the incidence of type 1 diabetes (T1D) in children in the last decade varies between 2% and 4% per annum. If this trend continued, the disease incidence would double in the next 20 years. The risk of developing T1D is determined by a complex interaction between multiple genes (mainly human leukocyte antigens) and environmental factors. Notwithstanding that genetic susceptibility represents a relevant element in T1D risk, genetics alone cannot explain the increase in incidence. Various environmental factors have been suggested as potential triggers for T1D, including several viruses and the hygiene hypothesis; however, none of these seems to explain the large increase in T1D incidence observed over the last decades. Several studies have demonstrated that the prevalence of childhood/adolescence overweight and obesity has risen during the past 30 years in T1D. Currently, at diagnosis, the majority of patients with T1D have normal or elevated body weight and ~50% of patients with longstanding T1D are either overweight or obese. The growing prevalence of obesity in childhood and adolescence offers a plausible explanation for the increase in T1D incidence observed in recent decades. Possible mechanisms of the enhancement of ß-cell autoimmunity by obesity include: a) insulin resistance-induced ß-cell secretory demand triggering autoimmunity through cytokine release, neo-epitope antigen formation and increase in ß-cell apoptosis, and b) obesity-induced low-grade inflammation with pro-inflammatory cytokines secreted by locally infiltrating macrophages, which contribute to the presentation by islet cells of autoantigens generally not accessible to T cells. Further studies are needed to clarify whether the control of body weight can prevent or delay the current and continuing rise in T1D incidence.

Risk factors and predictive biomarkers of early cardiovascular disease in obese youth.

Obesity in childhood and adolescence continues to be a major health issue due to significant health implications and to the economic burden that arise from treating this disease and its complications. Current data show that childhood obesity is no longer just a concern for developed countries, but more significantly affecting developing countries. In adult population, cardiovascular disease is the main cause of mortality and morbidity among obese patients. It is therefore believed that risk factors found in adult patients could also be observed in obese youth. These risk factors will then persist and become progressively worse if obese youth remain obese as they reach adulthood. However, risk reduction is achievable through various prevention and management strategies of obesity and obese children who become nonobese in adulthood have a significant reduction in their risk of developing cardiovascular disease. New biomarkers to improve risk assessment in obese youth are an open research field, which will eventually lead to a more targeted approach in prevention and treatment. Nevertheless, there is still a need for continuous research in understanding the roles of these biomarkers and their potential in risk prediction. Cardiovascular risk modification of childhood obesity depends on a more concerted effort among the various parties involved and particularly a global collaboration to stop the rising prevalence of the epidemic in developing countries.