Stress hyperglycemia ratio as a predictor of acute kidney injury and its outcomes in critically ill patients

This study investigated stress hyperglycemia ratio (SHR) for acute kidney injury (AKI) and clinical outcomes in intensive care unit (ICU). Key outcomes were AKI within 48 h after ICU admission, acute kidney disease (AKD), ICU mortality, 28-day mortality, 90-day mortality and 1-year mortality. The associations between SHR and outcomes was estimated via logistic regression, Cox proportional hazards regression, and restricted cubic spline (RCS) analyses. Subgroup analyses assessed the consistency of these associations. Totally 3,714 patients were included from the Medical Information Mart for Intensive Care IV. SHR was associated with an increased risk of AKI (ORadjusted 1.29 95%CI 1.05-1.59). Among AKI patients, SHR was associated with increased risks of AKD (ORadjusted 1.94 95%CI 1.57-2.39), ICU mortality (ORadjusted 2.31 95%CI 1.60-3.32), 28-day mortality (HRadjusted 1.39 95%CI 1.29-1.50), 90-day mortality (HRadjusted 1.37 95%CI 1.26-1.48), and 1-year mortality (HRadjusted 1.37 95%CI 1.27-1.47). RCS analysis revealed a linear relationship with AKI, a J-shaped relationship with AKD, and a U-shaped relationship with mortality. Subgroup analysis confirmed the consistency of relationship between SHR and AKI. SHR demonstrates significant associations with AKI incidence, and correlates with AKD progression/mortality in critically ill adult ICU patients, suggesting its potential as a risk stratification and prognostic tool for AKI management, though further prospective validation is required.

Association between hemoglobin glycation index and adverse outcomes in critically ill patients with myocardial infarction: A retrospective cohort study

BACKGROUND AND AIM

The prognosis of critically ill patients with myocardial infarction (MI) is associated with metabolic disturbances. The hemoglobin glycation index (HGI), a marker of glycemic variability, has been linked to adverse outcomes in critically ill populations. This study aimed to explore the relationship between HGI and adverse outcomes in critically ill MI patients.

METHODS AND RESULTS

This retrospective cohort study used data from the MIMIC-IV database, focusing on critically ill MI patients. Linear regression was applied to model the relationship between glucose and HbA1c, from which HGI values were calculated. Patients were grouped into quartiles based on HGI. Primary outcomes included 30-day, 180-day, and 365-day all-cause mortality. Kaplan-Meier survival analysis, logistic regression, Cox proportional hazards models, and restricted cubic spline (RCS) analysis were employed to assess the relationship between HGI and adverse outcomes. A total of 2480 patients were included. Lower HGI was associated with significantly increased risks of 30-day, 180-day, 365-day, and hospital all-cause mortality. RCS analysis revealed an inverse J-shaped relationship between HGI and mortality risk.

CONCLUSIONS

Low HGI in critically ill MI patients is significantly associated with higher all-cause mortality, highlighting its potential as a prognostic marker for early risk stratification and management optimization.

Management of diabetes in patients hospitalized for acute cardiac events: Joint position paper from the French Society of Cardiology and the French-speaking Diabetes Society

Patients with type 2 diabetes, but also older patients with type 1 diabetes, are at major risk of cardiovascular morbidity and death. After an acute cardiac event, the prognosis of patients with diabetes is impaired, with clear increases in in-hospital and long-term morbidity and deaths. Both hyper- and hypoglycaemia are deleterious after an acute cardiac event, and the decision to start intravenous insulin is often challenging. Moreover, some antidiabetic treatments have cardioprotective effects, and the onset of an acute cardiac event provides an opportunity to shift to these treatments. The objective of this position statement is to offer practical tools to cardiologists seeking to improve the care of patients with diabetes hospitalized for an acute cardiac event, and to optimize collaboration between cardiologists and diabetologists. After a summary of the evidence for antidiabetic treatments in patients with acute cardiac events, we propose an algorithm to start and adapt intravenous insulin in the most severe patients, and conclude with standard insulin protocols or oral treatments at discharge. We also discuss appropriate antidiabetic treatment of these patients at discharge, based on the main cardiological diagnosis, kidney function and antidiabetic strategies. Finally, situations in which the diabetologist must be consulted are discussed.

Management of diabetes in patients hospitalized for acute cardiac events: Joint position paper from the French Society of Cardiology and the French-speaking Diabetes Society

Patients with type 2 diabetes, but also older patients with type 1 diabetes, are at major risk of cardiovascular morbidity and death. After an acute cardiac event, the prognosis of patients with diabetes is impaired, with clear increases in in-hospital and long-term morbidity and deaths. Both hyper- and hypoglycaemia are deleterious after an acute cardiac event, and the decision to start intravenous insulin is often challenging. Moreover, some antidiabetic treatments have cardioprotective effects, and the onset of an acute cardiac event provides an opportunity to shift to these treatments. The objective of this position statement is to offer practical tools to cardiologists seeking to improve the care of patients with diabetes hospitalized for an acute cardiac event, and to optimize collaboration between cardiologists and diabetologists. After a summary of the evidence for antidiabetic treatments in patients with acute cardiac events, we propose an algorithm to start and adapt intravenous insulin in the most severe patients, and conclude with standard insulin protocols or oral treatments at discharge. We also discuss appropriate antidiabetic treatment of these patients at discharge, based on the main cardiological diagnosis, kidney function and antidiabetic strategies. Finally, situations in which the diabetologist must be consulted are discussed.

Relationship Between 1,5-Anhydroglucitol and Renal Function Assessed by Dynamic Renal Scintigraphy in Type 2 Diabetes

CONTEXT

The reliability of serum 1,5-anhydroglucitol (1,5-AG) in patients with type 2 diabetes and renal insufficiency remains controversial.

OBJECTIVE

To evaluate the relationship between renal function and serum 1,5-AG and to assess the extent to which renal function influences 1,5-AG.

METHODS

A total of 5337 participants with type 2 diabetes were enrolled. The measured glomerular filtration rate (mGFR) was assayed using 99mTc-DTPA dynamic renal scintigraphy. All subjects were stratified into 5 groups based on mGFR (≥120 [n = 507], 90-120 [n = 2015], 60-90 [n = 2178], 30-60 [n = 604], and <30 mL/min/1.73 m2 [n = 33]).

RESULTS

Overall, the serum 1,5-AG and mGFR levels were 3.3 (1.7-7.0) μg/mL and 88.6 ± 24.1 mL/min/1.73 m2, respectively. mGFR was found to be negatively correlated with 1,5-AG levels (r = -0.189, P < .001). Multiple linear regression revealed that mGFR was independently and negatively related to serum 1,5-AG after adjusting for covariates including hemoglobin A1c (HbA1c; P < .001). In subgroups with mGFR ≥ 30 mL/min/1.73 m2, the correlation coefficients between 1,5-AG and HbA1c, fasting plasma glucose, postprandial plasma glucose, and the differences between postprandial and fasting plasma glucose remained significant (range, -0.126 to -0.743, all P < .01). However, the link between 1,5-AG and traditional glycemic markers was attenuated in individuals with mGFR < 30 mL/min/1.73 m2. Sensitivity analysis after excluding anemic patients showed similar results regarding the relationship between serum 1,5-AG and HbA1c across the mGFR subgroups.

CONCLUSION

Although we observed a weak inverse correlation (r = -0.189) between mGFR and serum 1,5-AG in type 2 diabetes, 1,5-AG remains a valid marker for assessing glucose control in subjects with mild or moderate renal dysfunction.

Effects of switching from dipeptidyl peptidase 4 inhibitors to oral semaglutide on oxidative stress and glycemic variability in patients with type 2 diabetes: an open-label, prospective, randomized, multicenter, parallel-group comparison study

BACKGROUND

To compare the effects of switching from dipeptidyl peptidase 4 (DPP-4) inhibitors to oral semaglutide on oxidative stress and glucose variability assessed by continuous glucose monitoring in patients with type 2 diabetes mellitus (T2DM).

METHODS

This was an open-label, prospective, randomized, multicenter, parallel-group comparison study conducted over 24 weeks. Patients with T2DM who had been taking regular doses of DPP-4 inhibitors for at least 12 weeks were enrolled. They were randomly assigned to either continue on DPP-4 inhibitors (DPP-4 inhibitor group) or switch to oral semaglutide at 3 mg/day, with a dose increase to 7 mg/day after 4 weeks (semaglutide group). The primary endpoint was the change in the diacron-reactive oxygen metabolites test, an oxidative stress marker. Secondary endpoints included changes in glucose variability assessed using continuous glucose monitoring, metabolic indices, physical assessments, and Diabetes Treatment Satisfaction Questionnaire scores.

RESULTS

Fifty-eight patients with T2DM were randomized to the semaglutide group (n = 30) and the DPP-4 inhibitor group (n = 28). Six patients in the semaglutide group and one patient in the DPP-4 inhibitor group dropped out during the study. Ultimately, data from 24 patients in the semaglutide group and 27 patients in the DPP-4 inhibitor group were included for analysis. Switching to oral semaglutide therapy for 24 weeks significantly reduced oxidative stress, glucose variability, and hemoglobin A1c levels compared to continuous treatment with DPP-4 inhibitors. However, there was no significant difference in Diabetes Treatment Satisfaction Questionnaire scores between the two groups.

(II) CONCLUSIONS

Our study demonstrated that switching to oral semaglutide therapy from DPP-4 inhibitors significantly improved oxidative stress and glycemic parameters, including glucose variability, in patients with T2DM.

TRIAL REGISTRATION

jRCT1031210620.

Glycemic Variability and Its Association with Traditional Glycemic Control Biomarkers in Patients with Type 1 Diabetes: A Cross-Sectional, Multicenter Study

Background/Objectives: Glycemic variability (GV) is a novel concept in the assessment of the quality of glycemic control in patients with diabetes, with its importance emphasized in patients with type 1 diabetes. Its adoption in clinical practice emerged with the increased availability of continuous glycemic monitoring systems. The aim of this study is to evaluate the GV in patients with type 1 diabetes mellitus (T1DM) and to assess its associations with other parameters used to evaluate the glycemic control. Methods: GV indexes and classical glycemic control markers were analyzed for 147 adult patients with T1DM in a multicentric cross-sectional study. Results: Stable glycemia was associated with a higher time in range (TIR) (78% vs. 63%; p < 0.001) and a lower HbA1c (6.8% vs. 7.1%; p = 0.006). The coefficient of variation (CV) was reversely correlated with TIR (Spearman's r = -0.513; p < 0.001) and positively correlated with hemoglobin A1c (HbA1c) (Spearman's r = 0.349; p < 0.001), while TIR was reversely correlated with HbA1c (Spearman's r = -0.637; p < 0.001). The composite GV and metabolic outcome was achieved by 28.6% of the patients. Conclusions: Stable glycemia was associated with a lower HbA1c, average and SD of blood glucose, and a higher TIR. A TIR higher than 70% was associated with a lower HbA1c, and SD and average blood glucose. Only 28.6% of the patients with T1DM achieved the composite GV and metabolic outcome, despite 53.7% of them achieving the HbA1c target, emphasizing thus the role of GV in the assessment of the glycemic control.

A Case of Hypoglycemia Diagnosed by Neuropsychiatric Symptoms after Distal Gastrectomy and Total Colectomy

INTRODUCTION

Hypoglycemia can lead to significant adverse effects, including cognitive impairment, fatigue, convulsions, and even loss of consciousness in severe cases. Recent reviews also associate hypoglycemia with severe outcomes, such as mortality, dementia, and cardiovascular events. In gastrointestinal surgery, postoperative hypoglycemia related to dumping syndrome is well documented after gastric procedures. However, hypoglycemia in patients who have undergone both gastrectomy and total colectomy is rare, and the underlying mechanisms and effective management strategies remain unclear.

CASE PRESENTATION

The patient, a 46-year-old woman diagnosed with chronic intestinal pseudo-obstruction (CIPO), had a medical history of distal gastrectomy with Billroth-I reconstruction and colostomy. Recently, she underwent total colectomy, after which she began experiencing symptoms of unexplained malaise, depression, and cognitive decline. She received treatment with medication at a neuropsychiatric department to address these symptoms, but they persisted. Strong anxiety and fatigue led her to engage in frequent drug overdose. She then presented to our hospital. Given her history of gastrointestinal surgery, we considered the possibility of nocturnal hypoglycemia and performed continuous glucose monitoring (CGM), which showed marked hypoglycemia. Nutritional therapy to control hypoglycemia effectively improved her condition, resolving drug overdose behavior completely and reducing the dosage of her psychotropic medications by half.

CONCLUSION

This case highlights the diagnostic utility of CGM and the effectiveness of nutritional management in treating hypoglycemia after total colectomy in addition to gastrectomy and provides new insights into the management of similar postoperative cases.

Emerging biomarkers in type 2 diabetes mellitus

Diabetes mellitus is a chronic condition caused by high blood glucose resulting from insufficient insulin production or cellular resistance to insulin action or both. It is one of the fastest-growing public health concerns worldwide. Development of long-term nephropathy, retinopathy, neuropathy, and cardiovascular disease are some of the complications commonly associated with poor blood glycemic control. Type 2 diabetes mellitus (T2DM), the most prevalent type of diabetes, accounts for around 95 % of all cases globally. Although middle-aged or older adults are more likely to develop T2DM, its prevalence has grown in children and young people due to increased obesity, sedentary lifestyle and poor nutrition. Furthermore, it is believed that more than 50 % of cases go undiagnosed annually. Routine screening is essential to ensure early detection and reduce risk of life-threatening complications. Herein, we review traditional biomarkers and highlight the ongoing pursuit of novel and efficacious biomarkers driven by the objective of achieving early, precise and prompt diagnoses. It is widely acknowledged that individual biomarkers will inevitably have certain limitations necessitating the need for integrating multiple markers in screening.

Glucagon-like peptide-1 and impaired counterregulatory responses to hypoglycemia in type 1 diabetes

This letter comments on a study by Jin et al, published recently in the World Journal of Diabetes. Hypoglycemia is a significant complication of diabetes, with primary defense mechanisms involving the stimulation of glucagon secretion in α-cells and the inhibition of insulin secretion in pancreatic β-cells, which are often compromised in type 1 diabetes mellitus (T1DM) and advanced type 2 diabetes mellitus. Recurrent hypoglycemia predisposes the development of impaired hypoglycemia awareness, a condition underpinned by complex pathophysiological processes, encompassing central nervous system adaptations and several hormonal interactions, including a potential role for glucagon-like peptide-1 (GLP-1) in paracrine and endocrine vias. Experimental evidence indicates that GLP-1 may impair hypoglycemic counterregulation by disrupting the sympathoadrenal system and promoting somatostatin release in pancreatic δ-cells, which inhibits glucagon secretion from neighboring α-cells. However, current trials evaluating GLP-1 receptor agonists (GLP-1 RAs) in T1DM patients have shown promising benefits in reducing insulin requirements and body weight, without increasing the risk of hypoglycemia. Further research is essential to elucidate the specific roles of GLP-1 and GLP-1 RAs in modulating glucagon secretion and the sympathetic-adrenal reflex, and their impact on hypoglycemia unawareness in T1DM patients.

Effects of postprandial exercise timing on blood glucose and fluctuations in patients with type 2 diabetes mellitus

BACKGROUND

The aim of this study was to assess how moderate-intensity aerobic exercise performed 45 minutes and 90 minutes after a meal affects blood glucose levels and fluctuations in individuals diagnosed with type 2 diabetes mellitus (T2DM).

METHODS

Twenty-two patients with T2DM, who were solely receiving oral hypoglycemic medication, were enrolled and divided randomly into two categories: those exercising 45 minutes after a meal (45-minute postprandial exercise group) and those exercising 90 minutes post-meal (90-minute postprandial exercise group). Both groups engaged in a 30-minute session of moderate-intensity aerobic stationary bike exercise following breakfast. This aerobic exercise regimen consisted of two stages, with the groups switching exercise timings after the initial phase. Continuous glucose monitoring (CGM) was utilized to evaluate the blood glucose levels and fluctuations in the participants.

RESULTS

After breakfast, both overall daily blood glucose levels and the area under the curve for blood glucose following breakfast were reduced in the 45-minute postprandial exercise group compared to the 90-minute postprandial exercise group. The 45-minute postprandial exercise group demonstrated greater time spent within the target glucose range and less time above the target range than the 90-minute postprandial exercise group. Additionally, measures such as standard deviation, mean amplitude of glycemic excursions, largest amplitude of glycemic excursions, and postprandial glucose excursion for breakfast, peak postprandial glucose levels, and duration of elevated glucose levels were all lower in the 45-minute postprandial exercise group compared to the 90-minute postprandial exercise group.

CONCLUSIONS

Moderate-intensity aerobic exercise lasting 45 minutes after meals was found to be more efficient in decreasing blood glucose levels and minimizing fluctuations compared to exercising 90 minutes after meals in patients with T2DM. Additionally, it notably reduced the peak in blood glucose levels after meals.

The clinical importance of measuring glycaemic variability: Utilising new metrics to optimise glycaemic control

With the widespread use of continuous glucose monitoring (CGM), glycaemic variability (GV) is a glucose metric that has been gaining increasing attention. However, unlike other glucose metrics that are easily defined and have clear targets, GV has a large number of different measures given the complexity involved in assessment. While variabilities in HbA1c, fasting and postprandial glucose have been incorporated under the GV banner, short-term variability in glucose, within day and between days, is more in keeping with the correct definition of GV. This review is focused on short-term GV, as assessed by CGM data, although studies calculating GV from capillary glucose testing are also mentioned as appropriate. The different measures of GV are addressed, and their potential role in microvascular and macrovascular complications, as well as patient-related outcomes, discussed. It should be noted that the independent role of GV in vascular pathology is not always clear, given the inconsistent findings in different populations and the close association between GV and hypoglycaemia, itself an established risk factor for adverse outcomes. Therefore, this review attempts, where possible, to disentangle the contribution of GV to diabetes complications from other glycaemic parameters, particularly hypoglycaemia. Evidence to date strongly suggests an independent role for GV in vascular pathology but future large-scale outcome studies are required to fully understand the exact contribution of this metric to vascular complications. This can be followed by setting appropriate GV measures and targets in different diabetes subgroups, in order to optimise glycaemic management and limit the risk of complications.

Predictive value of glucose coefficient of variation for in-hospital mortality in acute myocardial infarction patients undergoing PCI: Insights from the MIMIC-IV database

Background

Acute myocardial infarction (AMI) carries a high short-term risk of death, even after percutaneous coronary intervention (PCI). Glucose variability (GV), measured by the glucose coefficient of variation (GluCV), is a potential risk factor for adverse outcomes. This study investigates GluCV's predictive value for in-hospital mortality in AMI patients undergoing PCI.

Method

This study involved 2325 AMI patients who were admitted to the ICU and underwent PCI from the MIMIC-IV database. Patients were categorized into quartiles based on GluCV: <0.13, 0.13-0.20, 0.20-0.29, and ≥0.29. Multivariable logistic regression and Restricted cubic spline (RCS) analysis were employed to analyze the relationship between GluCV and in-hospital mortality. Mediation analysis was used to evaluate the role of GluCV in the relationship between disease complexity and severity.

Results

Among the 2325 patients, 203 (8.7 %) died during hospitalization. Higher GluCV was associated with increased in-hospital mortality. Adjusted odds ratios for mortality were 1.35 (95 % CI: 0.71-2.55), 1.91 (95 % CI: 1.04-3.51), and 3.32 (95 % CI: 1.83-6.02) for the second, third, and fourth groups, respectively. RCS analysis indicated a linear relationship between Log GluCV and mortality risk, with each 1 SD increase in Log GluCV associated with a 1.70-fold increase in mortality. Subgroup analysis showed a stronger relationship between GluCV and mortality in patients younger than 70. Mediation analysis indicated that GluCV partially mediates the effect of comorbidities on organ dysfunction.

Conclusions

GluCV is an important predictor of in-hospital mortality in AMI patients undergoing PCI. Managing GV to minimize fluctuations may improve patient prognosis.

Stronger association between morning serum cortisol level and diurnal time in range in type 2 diabetes?

BACKGROUND

The hypothalamic-pituitary-adrenal axis is thought to play a vital role in glucose homeostasis and diabetes. This study investigated the association between morning serum cortisol and time in range (TIR), including daytime TIR, in type 2 diabetes (T2DM).

METHODS

310 patients with T2DM had serum cortisol measured at 8 a.m. All participants underwent continuous glucose monitoring (CGM) for three consecutive days, then TIR and glycemic variability (GV) parameters were evaluated. Using 100 g standard steamed bread meal test, blood glucose, C peptide and insulin at different points were collected to assess insulin sensitivity and islet function.

RESULTS

Patients with higher serum cortisol exhibited lower TIR and TITR (P < 0.001). Spearman correlation analysis showed that the negative correlation between cortisol and daytime TIR (r=-0.231, P < 0.001) was stronger than that of overnight TIR (r=-0.134, P = 0.028). Similarly, there existed a negative correlation between cortisol and pancreatic function indicators such as HOMA-β, insulinogenic index (IGI), area under the curve of C-peptide within half an hour (AUCCp0.5 h) and three hours (AUCCp3h) (r=-0.248, -0.176, -0.140, -0.185, respectively, P < 0.05). In contrast, cortisol was positively associated with TAR (r = 0.217, P < 0.001) and GV parameters including MBG, MAGE, LAGE, HBGI, MODD, ADDR (P of MAGE and MODD > 0.05). Multiple stepwise regression revealed that cortisol was an independent contributor of TIR, TITR and diurnal TIR, with diurnal TIR of stronger relevance.

CONCLUSIONS

Morning serum cortisol is negatively correlated with TIR, especially diurnal TIR and positively associated with GV parameters. Inappropriate cortisol secretion may have an adverse influence on glucose homeostasis in T2DM.

Continuous Glucose Monitoring Profiles and Health Outcomes After Dapagliflozin Plus Saxagliptin vs Insulin Glargine

CONTEXT

Glycemic variability and hypoglycemia during diabetes treatment may impact therapeutic effectiveness and safety, even when glycated hemoglobin (HbA1c) reduction is comparable between therapies.

OBJECTIVE

We employed masked continuous glucose monitoring (CGM) during a randomized trial of dapagliflozin plus saxagliptin (DAPA + SAXA) vs insulin glargine (INS) to compare glucose variability and patient-reported outcomes (PROs).

DESIGN

24-week substudy of a randomized, open-label, 2-arm, parallel-group, phase 3b study.

SETTING

Multicenter study (112 centers in 11 countries).

PATIENTS

283 adults with type 2 diabetes (T2D) inadequately controlled with metformin ± sulfonylurea.

INTERVENTIONS

DAPA + SAXA vs INS.

MAIN OUTCOME MEASURES

Changes in CGM profiles, HbA1c, and PROs.

RESULTS

Changes from baseline in HbA1c with DAPA + SAXA were similar to those observed with INS, with mean difference [95% confidence interval] between decreases of -0.12% [-0.37 to 0.12%], P = .33. CGM analytics were more favorable for DAPA + SAXA, including greater percent time in range (> 3.9 and ≤ 10 mmol/L; 34.3 ± 1.9 vs 28.5 ± 1.9%, P = .033), lower percent time with nocturnal hypoglycemia (area under the curve ≤ 3.9 mmol/L; 0.6 ± 0.5 vs 2.7 ± 0.5%, P = .007), and smaller mean amplitude of glycemic excursions (-0.7 ± 0.1 vs -0.3 ± 0.1 mmol/L, P = .017). Improvements in CGM were associated with greater satisfaction, better body weight image, less weight interference, and improved mental and emotional well-being.

CONCLUSION

DAPA + SAXA and INS were equally effective in reducing HbA1c at 24 weeks, but people with T2D treated with DAPA + SAXA achieved greater time in range, greater reductions in glycemic excursions and variability, less time with hypoglycemia, and improved patient-reported health outcomes.

Efficient synthesis for each of the eight stereoisomers of the iminosugars lentiginosine and 1,4-dideoxy-1,4-imino-D-arabinitol (DAB)

Herein, we describe the efficient, diastereoselective syntheses of the iminosugars 1,4-dideoxy-1,4-imino-D-arabinitol (DAB) 1b, lentiginosine 3a, and the seven stereoisomers of each of these iminosugars starting from 4-benzoyl-6-deoxy-6-iodoglycopyranosides 47 with yields ranging from 38 % to 68 % for the DAB and isomers 1a-1h and from 44 % to 89 % for the lentiginosine and isomers 3a-3h. We also report the syntheses of the eight stereoisomers of the 4-benzoyl-6-deoxy-6-iodoglycopyranosides 47 from commercially available sugars. Key to the iminosugar syntheses is a single multistep reaction that converts the 4-benzoyl-6-deoxy-6-iodoglycopyranosides 47 to a vinyl pyrrolidine through a one-pot zinc mediated reductive elimination, followed by a reductive amination and finally an intramolecular nucleophilic substitution. Strategic selection of the amine utilized in the reductive amination and the functionalization of the intermediate carbon-carbon double bond provides access to a vast array of iminosugars.

The clinical potential of 1,5-anhydroglucitol as biomarker in diabetes mellitus

A crucial measure of diabetes management is to monitor blood glucose, which often requires continuous blood collection, leading to economic burden and discomfort. Blood glucose and glycated hemoglobin A1c serve as traditional indicators of glucose monitoring. But now glycated albumin, fructosamine, and 1,5-anhydroglucitol (1,5-AG) have been gaining more attention. 1,5-AG is a chemically stable monosaccharide that exists in the human body. Its serum concentration remains stable when blood glucose levels are normal. However, it decreases when blood glucose exceeds the renal glucose threshold. Studies have shown that 1.5-AG reflects blood glucose changes in 1 to 2 weeks; therefore, decreased levels of serum 1,5-AG can serve as a clinical indicator of short-term blood glucose disturbances. Recent studies have shown that 1,5-AG can be used not only for the screening and managing of diabetes but also for predicting diabetes-related adverse events and islet β cell function in prediabetic patients. In addition, saliva 1,5-AG demonstrates potential value in the screening and diagnosis of diabetes. This review focuses on the biological characteristics, detection methods, and clinical application of 1,5-AG to promote understanding and applicable research of 1,5-AG in the future.

The role of hemoglobin A1c as a predictor of major adverse cardiovascular events in patients with type 2 diabetes mellitus after percutaneous coronary intervention: a case-cohort study

BACKGROUND

Few studies have investigated the potential predictive value of glycosylated hemoglobin A (HbA1c) and clinical outcomes in diabetic patients after percutaneous coronary intervention (PCI), and the results of the reports have often been inconclusive and contradictory. We have organized a study to investigate the relationship between HbA1c and the occurrence of major adverse cardiovascular events (MACE) in diabetic patients after PCI.

METHODS

This case-cohort study was conducted on 563 diabetic patients who underwent PCI. All studied patients had an HbA1c level measured within 24 h before angioplasty. All patients were followed for six months regarding the occurrence of MACE, and the HbA1c level was measured again at the end of the sixth month of follow-up. In the case of MACE, the subjects were considered the case group, and other non-MACE patients were included in the control group.

RESULTS

505 patients remained in the study at the end of follow-up. MACE occurred in 23 (4.6%) patients during the first month and in 57 (11.3%) patients by the end of the sixth month. Baseline HbA1c was an independent predictor of MACE and mortality at the end of month-6 (P = 0.008 and 0.001, respectively).

CONCLUSIONS

The level of HbA1c at the time of admission has a significant predictive value for the occurrence of MACE in diabetic patients who undergo PCI. However, post-PCI glycemic control may not effectively reduce the risk of MACE in this population.

CLINICAL TRIAL REGISTRATION

Not applicable.

Serum lipid peroxidation potential as a biomarker for risk-stratification of coronary artery disease in patients with type 2 diabetes mellitus

AIM

We examined the serum lipid peroxidation potential as an estimate of systemic oxidative stress levels in people with type 2 diabetes (T2D) for coronary artery disease (CAD) risk stratification.

METHODS

We prospectively recruited patients and categorized them into four subgroups based on diabetes and severity of CAD [Gensini score <20, non-significant CAD; Gensini score >20, significant CAD]: non-diabetics with non-significant CAD, diabetics with non-significant CAD, non-diabetics with significant CAD and diabetics with significant CAD. Lipid profile, HbA1c, fasting blood glucose, and oxidized LDL were assessed. A newly developed assay estimated serum lipid peroxidation potential.

RESULTS

Circulatory oxidized LDL levels were significantly higher in patients with severe CAD compared to non-diabetics with non-significant CAD, however no significant differences were observed across the four subgroups. Diabetics with non-significant CAD demonstrated significantly elevated serum lipid peroxidation potential compared to non-diabetics with non-significant CAD. Intriguingly, serum lipid peroxidation potential was markedly elevated in diabetics with non-significant CAD compared to both diabetics and non-diabetics with significant CAD. Poor glycemic control and reduced blood total antioxidant capacity were the primary factors contributing to increased serum lipid peroxidation potential in diabetics with non-significant CAD group.

CONCLUSIONS

We found that people with T2D who are associated with non-significant CAD are more vulnerable to oxidative stress than those with significant CAD. The study demonstrates the application of 'serum lipid peroxidation potential' assay for risk-stratification of CAD in people with T2D.

Exploring the influencing factors of non-insulin drug prescriptions in discharged patients with type 1 diabetes

Objective

The aim of this study was to evaluate the admission indicators and characteristics of individuals diagnosed with type 1 diabetes (T1D) to ascertain potential impact on the choice of glucose control therapy after discharge.

Methods

A total of 398 eligible T1D patients were selected. We conducted multivariable logistic regression analysis to determine the independent influence of predictors on the selection of glucose control therapy after discharge. To explore the influencing factors of different subgroups, we additionally performed subgroup analyses based on gender and age.

Results

Our study revealed that body mass index (BMI) was noteworthy influence factor for prescription of insulin and non-insulin antidiabetic drug (NIAD prescription) in T1D patients of general population [OR = 1.109 (1.033-1.195), p = 0.006], male [OR = 1.166 (1.040-1.318), p = 0.011] and individuals below the age of 30 years [OR = 1.146 (1.020-1.301), p = 0.028]. Diastolic blood pressure (DBP) was a protective factor for NIAD prescription in the general population [OR = 0.971 (0.949-0.992), p = 0.008] and women [OR = 0.955 (0.923-0.988), p = 0.008]. The other risk factor of NIAD prescription in men was dyslipidemia [OR = 4.824 (1.442-22.246), p = 0.020]. Pulse pressure [OR = 1.036 (1.007-1.068), p = 0.016] constituted an additional risk factor of NIAD prescription among individuals below the age of 30 years. The risk factors of NIAD prescription for people aged 30 to 50 years were length of stay [OR = 1.097 (1.014-1.196), p = 0.026] and initial blood glucose [OR = 1.078 (1.007-1.168), p = 0.047]. In the case of individuals aged above 50 years, physicians exhibited a higher tendency to prescribe supplementary non-insulin medications to men [OR = 9.385 (1.501-87.789), p = 0.029].

Conclusions

We identified notable factors that influence discharge prescriptions in patients with T1D. In order to enhance the treatment outcome for the patient, clinicians ought to have a special focus on these indicators or factors.

Value of Glycemic Dispersion Index in Predicting Major Adverse Cardiovascular Events in Diabetic Patients with Concomitant Acute Coronary Syndrome

Aim

This investigation aims to assess the predictive value of the glycemic dispersion index (GDI), calculated by incorporating glycated hemoglobin, fasting plasma glucose, and 2-hour postprandial plasma glucose, in predicting major adverse cardiovascular events (MACE) within a 12-month timeframe for diabetic patients with concomitant acute coronary syndrome (ACS).

Methods

A retrospective study was conducted on 3261 diabetic patients with ACS who were hospitalized in the Department of Cardiology, the Sixth Affiliated Hospital of Kunming Medical University, from January 2016 to July 2022. Based on the inclusion and exclusion criteria, 512 patients were ultimately enrolled in the study. Their general information and laboratory test indicators were collected, and the occurrence of MACE within 12 months after admission was followed up and recorded for the enrolled patients, With the last follow-up having been concluded on July 31, 2023. The enrolled patients were stratified into four groups (Q1, Q2, Q3, Q4) based on their GDI values, from the lowest to the highest. Cox proportional hazards regression analysis and Kaplan-Meier survival analysis were employed to investigate the risk factors associated with MACE occurrence across these groups and to assess the cumulative risk of MACE over time within each group.

Results

The percentages of enrolled patients experiencing MACE in groups Q1 to Q4 were 10.16%, 12.50%, 15.63%, and 16.41%, respectively. GDI independently predicted the hazards for MACE in enrolled patients. The cumulative risk of MACE over time was considerably more significant in those with a GDI>4.21 than those with a GDI≤4.21.

Conclusion

The elevated GDI is correlated with an augmented risk of MACE in diabetic patients with concomitant ACS, thereby serving as an early indicator for assessing the unfavorable clinical prognosis of patients. This study offers novel insights into glycemic variability monitoring, enhancing prevention and treatment strategies for cardiovascular disease in people with diabetes.

Optimal timing of invasive intervention for high-risk non-ST-segment-elevation myocardial infarction patients

OBJECTIVE

To compare the immediate, early, and delayed percutaneous coronary intervention (PCI) strategies in non-ST-segment-elevation myocardial infarction (NSTEMI) patients with high-risk.

METHODS

Medical records of patients treated at the Daping Hospital, Third Military Medical University, Chongqing, China between 2011 and 2021 were retrospectively reviewed. Only patients with complete available information were included. All patients assigned into three groups based on the timing of PCI including immediate (< 2 h), early (2-24 h) and delayed (≥ 24 h) intervention. Multivariable Cox hazards regression and simpler nonlinear models were performed.

RESULTS

A total of 657 patients were included in the study. The median follow-up length was 3.29 (interquartile range: 1.45-4.85) years. Early PCI strategy improved the major adverse cardiac event (MACE) outcome compared to the immediate or delayed PCI strategy. Early PCI, diabetes mellitus, and left main or/and left anterior descending or/and left circumflex stenosis or/and right coronary artery ≥ 99% were predictors for MACE outcome. The optimal timing range for PCI to reduce MACE risk is 3-14 h post-admission. For high-risk NSTEMI patients, early PCI reduced primary clinical outcomes compared to immediate or delayed PCI, and the optimal timing range was 3-14 h post-admission. Delayed PCI was superior for NSTEMI with chronic kidney injury.

CONCLUSIONS

Delayed invasive strategy was helpful to reduce the incidence of MACE for high-risk NSTEMI with chronic kidney injury. An immediate PCI strategy might increase the rate of MACE.

Lactate: A New Target for Brain Disorders

Lactate in the brain is produced endogenously and exogenously. The primary functional cells that produce lactate in the brain are astrocytes. Astrocytes release lactate to act on neurons, thereby affecting neuronal function, through a process known as the astrocyte-neuron shuttle. Lactate affects microglial function as well and inhibits microglia-mediated neuroinflammation. Lactate also provides energy, acts as a signaling molecule, and promotes neurogenesis. This article summarizes the role of lactate in cells, animals, and humans. Lactate is a protective molecule against stress in healthy organisms and in the early stages of brain disorders. Thus, lactate may be a potential therapeutic target for brain disorders. Further research on the role of lactate in microglia may have great prospects. This article provides a new perspective and research direction for the study of lacate in brain disorders.

The relationship between serum 1,5-anhydroglucitol and adverse outcomes in acute coronary syndrome with and without chronic kidney disease patients

Purpose

Individuals with chronic kidney disease (CKD) face an elevated residual risk of cardiovascular events, but the relationship between this residual risk and 1,5-anhydroglucitol (1,5-AG) is uncertain. Our study aimed to examine the effect of 1,5-AG on major adverse cardiovascular events (MACEs) and all-cause mortality in acute coronary syndrome (ACS) individuals.

Methods

1253 ACS participants hospitalized were enrolled at Beijing Hospital between March 2017 and March 2020. All participants were classified into 2 groups based on their eGFR (60 ml/min/1.73 m2). The link between 1,5-AG and adverse outcome was investigated in non-CKD and CKD participants.

Results

CKD patients had reduced concentrations of 1,5-AG than those without CKD. Throughout a median follow-up duration of 43 months, 1,5-AG was an autonomous hazard factor for MACEs and all-cause mortality. 1,5-AG<14 μg/ml participants had greater MACEs and all-cause mortality risk than those with 1,5-AG≥14 μg/ml, regardless of renal function. Furthermore, concomitant reduced concentrations of 1,5-AG and CKD portended a dismal prognosis in ACS patients.

Conclusions

1,5-AG was autonomously linked to MACEs and all-cause mortality in ACS participants with both non-CKD and CKD. Co-presence of reduced concentrations of 1,5-AG and CKD may portend adverse clinical outcomes.

Short-term Glycemic Variability and Its Association With Macrovascular and Microvascular Complications in Patients With Diabetes

The introduction of continuous glucose monitoring inaugurated a new era in clinical practice by shifting the characterization of glycemic control from HbA1c to novel metrics. The one that gained widespread attention over the past decades was glycemic variability (GV), which typically refers to peaks and nadirs of blood glucose measured over a given time interval. GV can be dichotomized into two main categories: short-term and long-term. Short-term GV reflects within-day and between-day glycemic oscillations, and its contribution to diabetic complications remains an enigma. In this review, we summarize the available data about short-term GV and its possible association with both microvascular and macrovascular complications, evaluating different pathogenic mechanisms and demonstrating nonpharmaceutical, as well as pharmaceutical, therapeutic interventions.

Association of the Ratio of Glycoalbumin to Hemoglobin A1c With Season Change and the COVID-19 Pandemic in Patients With Type 2 Diabetes Mellitus

AIM

The main purpose of the current study was to investigate the effect of season change and the influence of the COVID-19 pandemic on the ratio of glycoalbumin to hemoglobin A1c (GA/HbA1c) in patients with type 2 diabetes.

PATIENTS AND METHODS

A total of 267 patients in whom both HbA1c and GA were measured at baseline were included in this retrospective study. GA/HbA1c was investigated for three years, 2018, 2019, and 2020 (COVID-19 pandemic period).

RESULTS

The mean values for GA/HbA1c per year in 2018, 2019, and 2020 were 2.64±0.35, 2.61±0.35, 2.64±0.39, respectively. There were no significant differences in GA/HbA1c during these years. There was a tendency toward seasonal variation in GA/HbA1c (i.e., higher in summer or autumn and lower in spring or winter).

CONCLUSION

In patients with type 2 diabetes, GA/HbA1c tended to show seasonal variation, which was not influenced by the COVID-19 pandemic.

Cardiovascular disease in type 1 diabetes, an underestimated danger: Epidemiological and pathophysiological data

Cardiovascular disease (CV) is a common complication of type 1 diabetes (T1D) and a leading cause of death. T1D patients are more likely to develop CV disease (CVD) early in life and show a reduction of life expectancy of at least 11 years. Patients with a young age of T1D onset have a substantially higher CV risk. The reasons for increased atherosclerosis in T1D patients are not entirely explained. In addition to the typical CV risk factors, long-term hyperglycemia has a significant impact by inducing oxidative stress, vascular inflammation, monocyte adhesion, arterial wall thickening and endothelial dysfunction. Additionally, CVD in T1D is also associated with nephropathy. However, CVD risk is still significantly increased in T1D patients, in good glycemic control without additional CV risk factors, indicating the involvement of supplementary potential factors. By increasing oxidative stress, vascular inflammation, and endothelial dysfunction, hypoglycemia and glucose variability may exacerbate CVD. Moreover, significant qualitative and functional abnormalities of lipoproteins are present in even well-controlled T1D patients and are likely to play a role in the development of atherosclerosis and the promotion of CVD. According to recent research, immune system dysfunction, which is typical of auto-immune T1D, may also promote CVD, likely via inflammatory pathways. In addition, T1D patients who are overweight or obese exhibit an additional CV risk due to pathophysiological mechanisms that are similar to those seen in T2D.

Continuous glucose monitoring for the routine care of type 2 diabetes mellitus

Although continuous glucose monitoring (CGM) devices are now considered the standard of care for people with type 1 diabetes mellitus, the uptake among people with type 2 diabetes mellitus (T2DM) has been slower and is focused on those receiving intensive insulin therapy. However, increasing evidence now supports the inclusion of CGM in the routine care of people with T2DM who are on basal insulin-only regimens or are managed with other medications. Expanding CGM to these groups could minimize hypoglycaemia while allowing efficient adaptation and escalation of therapies. Increasing evidence from randomized controlled trials and observational studies indicates that CGM is of clinical value in people with T2DM on non-intensive treatment regimens. If further studies confirm this finding, CGM could soon become a part of routine care for T2DM. In this Perspective we explore the potential benefits of widening the application of CGM in T2DM, along with the challenges that must be overcome for the evidence-based benefits of this technology to be delivered for all people with T2DM.

Additive effect of admission hyperglycemia on left ventricular stiffness in patients following acute myocardial infarction verified by CMR tissue tracking

BACKGROUND

Stress hyperglycemia occurs frequently in patients following acute myocardial infarction (AMI) and may aggravate myocardial stiffness, but relevant evidence is still lacking. Accordingly, this study aimed to examine the impact of admission stress hyperglycemia on left ventricular (LV) myocardial deformation in patients following AMI.

METHODS

A total of 171 patients with first AMI (96 with normoglycemia and 75 with hyperglycemia) underwent cardiac magnetic resonance (CMR) examination were included. AMI patients were classified according to admission blood glucose level (aBGL): < 7.8 mmol/L (n = 96), 7.8-11.1 mmol/L (n = 41) and ≥ 11.1 mmol/L (n = 34). LV strains, including global radial/circumferential/longitudinal peak strain (PS)/peak systolic strain rate (PSSR)/peak diastolic strain rate (PDSR), were measured and compared between groups. Further, subgroup analyses were separately conducted for AMI patients with and without diabetes. Multivariate analysis was employed to assess the independent association between aBGL and LV global PS in AMI patients.

RESULTS

LV global PS, PSSR and PDSR were decreased in radial, circumferential and longitudinal directions in hyperglycemic AMI patients compared with normoglycemic AMI patients (all P < 0.05). These differences were more obvious in patients with diabetes than those without diabetes. AMI patients with aBGL between 7.8 and 11.1 mmol/L demonstrated significant decreased radial and longitudinal PS, radial PSSR, and radial and longitudinal PDSR than those with aBGL < 7.8 mmol/L (all P < 0.05). AMI patients with aBGL ≥ 11.1 mmol/L showed significantly decreased PS, PSSR and PDSR in all three directions than those with aBGL < 7.8 mmol/L, and decreased longitudinal PSSR than those with aBGL between 7.8 and 11.1 (all P < 0.05). Further, aBGL was significantly and independently associated with radial (β = - 0.166, P = 0.003) and longitudinal (β = 0.143, P = 0.008) PS.

CONCLUSIONS

Hyperglycemia may exacerbate LV myocardial stiffness in patients experienced first AMI, leading to reduction in LV strains. aBGL was an independent indicator of impaired LV global PS in AMI patients. Blood glucose monitoring is more valuable for AMI patients with diabetes.

Associations between time in range and insulin secretory capacity in Japanese patients with type 2 diabetes

Impaired insulin secretory capacity is associated with high glycemic variability in patients with type 2 diabetes (T2DM). However, there are no existing reports on the association between insulin secretory capacity and time in range (TIR). This retrospective study involved 330 T2DM admitted for diabetes education who underwent intermittently scanned continuous glucose monitoring (isCGM) and had their fasting serum C-peptide immunoreactivity (S-CPR) measured within 5 days of admission. The baseline characteristics were as follows: age, 60.2 years; glycated hemoglobin (HbA1c), 9.2%; S-CPR, 2.2 ng/mL; S-CPR index (S-CPR [ng/mL]/fasting plasma glucose [mg/dL] × 100), 1.6; and TIR, 60.3%. TIR correlated significantly with the S-CPR index, which was confirmed by multivariate analysis that included various factors such as HbA1c. Receiver operating characteristic (ROC) analysis showed that 1.88 was the optimal S-CPR index level to predict TIR ≥ 70%. In addition to HbA1c and biguanide use, the S-CPR index was a significant factor associated with TIR > 70%. S-CPR index values of ≥ 1.88 also correlated significantly with TIR > 70%. In conclusion, insulin secretory capacity is associated with TIR in Japanese T2DM, suggesting that the S-CPR index might be a potentially useful biomarker insulin secretory capacity, in association with TIR.Trial registration UMIN0000254333.

Research progress on the association between glycemic variability index derived from CGM and cardiovascular disease complications

Currently, glycated hemoglobin A1c (HbA1c) has been widely used to assess the glycemic control of patients with diabetes. However, HbA1c has certain limitations in describing both short-term and long-term glycemic control. To more accurately evaluate the glycemic control of diabetes patients, the continuous glucose monitoring (CGM) technology has emerged. CGM technology can provide robust data on short-term glycemic control and introduce new monitoring parameters such as time in range, time above range, and time below range as indicators of glycemic fluctuation. These indicators are used to describe the changes in glycemic control after interventions in clinical research or treatment modifications in diabetes patient care. Recent studies both domestically and internationally have shown that these indicators are not only associated with microvascular complications of diabetes mellitus but also closely related to cardiovascular disease complications and prognosis. Therefore, this article aims to comprehensively review the association between CGM-based glycemic parameters and cardiovascular disease complications by analyzing a large number of domestic and international literature. The purpose is to provide scientific evidence and guidance for the standardized application of these indicators in clinical practice, in order to better evaluate the glycemic control of diabetes patients and prevent the occurrence of cardiovascular disease complications. This research will contribute to improving the quality of life for diabetes patients and provide important references for clinical decision-making.

Glucagon-like Peptide-1 analogues and delipidation of coronary atheroma in statin-treated type 2 diabetic patients with coronary artery disease: The prespecified sub-analysis of the OPTIMAL randomized clinical trial

Background and aims

Randomized clinical trials have demonstrated the ability of glucagon-like peptide-1 analogues (GLP-1RAs) to reduce atherosclerotic cardiovascular disease events in patients with type 2 diabetes (T2D). How GLP-1RAs modulate diabetic atherosclerosis remains to be determined yet.

Methods

The OPTIMAL study was a prospective randomized controlled study to compare the efficacy of 48-week continuous glucose monitoring- and HbA1c-guided glycemic control on near infrared spectroscopty (NIRS)/intravascular ultrasound (IVUS)-derived plaque measures in 94 statin-treated patients with T2D (jRCT1052180152, UMIN000036721). Of these, 78 patients with evaluable serial NIRS/IVUS images were analyzed to compare plaque measures between those treated with (n = 16) and without GLP-1RAs (n = 72).

Results

All patients received a statin, and on-treatment LDL-C levels were similar between the groups (66.9 ± 11.6 vs. 68.1 ± 23.2 mg/dL, p = 0.84). Patients receiving GLP-1RAs demonstrated a greater reduction of HbA1c [-1.0 (-1.4 to -0.5) vs. -0.4 (-0.6 to -0.2)%, p = 0.02] and were less likely to demonstrate a glucose level >180 mg/dL [-7.5 (-14.9 to -0.1) vs. 1.1 (-2.0 - 4.2)%, p = 0.04], accompanied by a significant decrease in remnant cholesterol levels [-3.8 (-6.3 to -1.3) vs. -0.1 (-0.8 - 1.1)mg/dL, p = 0.008]. On NIRS/IVUS imaging analysis, the change in percent atheroma volume did not differ between the groups (-0.9 ± 0.25 vs. -0.2 ± 0.2%, p = 0.23). However, GLP-1RA treated patients demonstrated a greater frequency of maxLCBI4mm regression (85.6 ± 0.1 vs. 42.0 ± 0.6%, p = 0.01). Multivariate analysis demonstrated that the GLP-1RA use was independently associated with maxLCBI4mm regression (odds ratio = 4.41, 95%CI = 1.19-16.30, p = 0.02).

Conclusions

In statin-treated patients with T2D and CAD, GLP-1RAs produced favourable changes in lipidic plaque materials, consistent with its stabilization.

Increased glycemic variability results in abnormal differentiation of T cell subpopulation in type 2 diabetes patients

AIMS

We aimed to investigate the association between glycemic variability (GV) and the abnormal differentiation of T-cell subpopulations in patients with type 2 diabetes mellitus (T2DM).

METHODS

In total, 108 hospitalized patients with T2DM were enrolled and divided into two subgroups (normal glycemic excursion (NGE) and high glycemic excursion (HGE)) according to their mean amplitude of glycemic excursion (MAGE) level. The MAGE was evaluated via continuous glucose monitoring for 72 h consecutively. Flow cytometry was used to determine the proportions of T cell subpopulations.

RESULTS

The T helper (Th) 1 cell/Th2 cell ratio was significantly higher, and the proportion of regulatory T cells (Tregs) was significantly lower in the NGE group than in the HGE group (all P < 0.05). After fully adjusting for confounders, the MAGE was positively associated with the Th1 cell/Th2 cell ratio (β = 0.370; P = 0.009) and negatively associated with the proportion of Tregs (β = -0.554; P = 0.001).

CONCLUSION

The MAGE was an independent risk factor for abnormally high Th1 cell/Th2 cell ratio and proportion of Tregs. Abnormal differentiation of T cell subpopulations induced by GV may impair β-cell function, aggravate insulin resistance, and contribute to the development of diabetic complications.

Impact of acute glycemic variability on short-term outcomes in patients with ST-segment elevation myocardial infarction: a multicenter population-based study

BACKGROUND

Given the increasing attention to glycemic variability (GV) and its potential implications for cardiovascular outcomes. This study aimed to explore the impact of acute GV on short-term outcomes in Chinese patients with ST-segment elevation myocardial infarction (STEMI).

METHODS

This study enrolled 7510 consecutive patients diagnosed with acute STEMI from 274 centers in China. GV was assessed using the coefficient of variation of blood glucose levels. Patients were categorized into three groups according to GV tertiles (GV1, GV2, and GV3). The primary outcome was 30-day all-cause death, and the secondary outcome was major adverse cardiovascular events (MACEs). Cox regression analyses were conducted to determine the independent correlation between GV and the outcomes.

RESULTS

A total of 7136 patients with STEMI were included. During 30-days follow-up, there was a significant increase in the incidence of all-cause death and MACEs with higher GV tertiles. The 30-days mortality rates were 7.4% for GV1, 8.7% for GV2 and 9.4% for GV3 (p = 0.004), while the MACEs incidence rates was 11.3%, 13.8% and 15.8% for the GV1, GV2 and GV3 groups respectively (p < 0.001). High GV levels during hospitalization were significantly associated with an increased risk of 30-day all-cause mortality and MACEs. When analyzed as a continuous variable, GV was independently associated with a higher risk of all-cause mortality (hazard ratio [HR] 1.679, 95% confidence Interval [CI] 1.005-2.804) and MACEs (HR 2.064, 95% CI 1.386-3.074). Additionally, when analyzed as categorical variables, the GV3 group was found to predict an increased risk of MACEs, irrespective of the presence of diabetes mellitus (DM).

CONCLUSION

Our study findings indicate that a high GV during hospitalization was significantly associated with an increased risk of 30-day all-cause mortality and MACE in Chinese patients with STEMI. Moreover, acute GV emerged as an independent predictor of increased MACEs risk, regardless of DM status.

Blood glucose fluctuation and in-hospital mortality among patients with acute myocardial infarction: eICU collaborative research database

BACKGROUND

To assess the relationship between glycemic variability, glucose fluctuation trajectory and the risk of in-hospital mortality in patients with acute myocardial infarction (AMI).

METHODS

This retrospective cohort study included AMI patients from eICU Collaborative Research Database. In-hospital mortality of AMI patients was primary endpoint. Blood glucose levels at admission, glycemic variability, and glucose fluctuation trajectory were three main study variables. Blood glucose levels at admission were stratified into: normal, intermediate, and high. Glycemic variability was evaluated using the coefficient of variation (CV), divided into four groups based on quartiles: quartile 1: CV≤10; quartile 2: 1030. Univariate and multivariate Cox regression models to assess the relationship between blood glucose levels at admission, glycemic variability, glucose fluctuation trajectory, and in-hospital mortality in patients with AMI.

RESULTS

2590 participants were eventually included in this study. There was a positive relationship between high blood glucose level at admission and in-hospital mortality [hazard ratio (HR) = 1.42, 95%confidence interval (CI): 1.06-1.89]. The fourth quartile (CV>30) of CV was associated with increased in-hospital mortality (HR = 2.06, 95% CI: 1.25-3.40). The findings indicated that only AMI individuals in the fourth quartile of glycemic variability, exhibited an elevated in-hospital mortality among those with normal blood glucose levels at admission (HR = 2.33, 95% CI: 1.11-4.87). Additionally, elevated blood glucose level was a risk factor for in-hospital mortality in AMI patients.

CONCLUSION

Glycemic variability was correlated with in-hospital mortality, particularly among AMI patients who had normal blood glucose levels at admission. Our study findings also suggest early intervention should be implemented to normalize high blood glucose levels at admission of AMI.

Glycemic variability assessed using continuous glucose monitoring in individuals without diabetes and associations with cardiometabolic risk markers: A systematic review and meta-analysis

BACKGROUND & AIMS

Continuous glucose monitoring (CGM) provides data on short-term glycemic variability (GV). GV is associated with adverse outcomes in individuals with diabetes. Whether GV is associated with cardiometabolic risk in individuals without diabetes is unclear. We systematically reviewed the literature to assess whether GV is associated with cardiometabolic risk markers or outcomes in individuals without diabetes.

METHODS

Searches were performed in PubMed/Medline, Embase and Cochrane from inception through April 2022. Two researchers were involved in study selection, data extraction and quality assessment. Studies evaluating GV using CGM for ≥24 h were included. Studies in populations with acute and/or critical illness were excluded. Both narrative synthesis and meta-analyzes were performed, depending on outcome.

RESULTS

Seventy-one studies were included; the majority were cross-sectional. Multiple measures of GV are higher in individuals with compared to without prediabetes and GV appears to be inversely associated with beta cell function. In contrast, GV is not clearly associated with insulin sensitivity, fatty liver disease, adiposity, blood lipids, blood pressure or oxidative stress. However, GV may be positively associated with the degree of atherosclerosis and cardiovascular events in individuals with coronary disease.

CONCLUSION

GV is elevated in prediabetes, potentially related to beta cell dysfunction, but less clearly associated with obesity or traditional risk factors. GV is associated with coronary atherosclerosis development and may predict cardiovascular events and type 2 diabetes. Prospective studies are warranted, investigating the predictive power of GV in relation to incident disease. GV may be an important risk measure also in individuals without diabetes.

Comparison of admission glycemic variability and glycosylated hemoglobin in predicting major adverse cardiac events among type 2 diabetes patients with heart failure following acute ST-segment elevation myocardial infarction

BACKGROUND AND OBJECTIVES

Hyperglycemia is associated with adverse outcomes in patients with acute myocardial infarction (AMI) as well as in patients with heart failure. However, the significance of admission glycemic variability (GV) in predicting outcomes among diabetes patients with heart failure (HF) following acute ST-segment elevation myocardial infarction (ASTEMI) remains unclear. This study aims to explore the prognostic value of admission GV and admission glycosylated hemoglobin (HbA1c) levels in individuals diagnosed with type 2 diabetes and HF following ASTEMI.

METHODS

We measured GV and HbA1c upon admission in 484 consecutive patients diagnosed with type 2 diabetes and HF following ASTEMI. GV, indicated as the mean amplitude of glycemic excursions (MAGE), was assessed utilizing a continuous glucose monitoring system (CGMS). admission MAGE values were categorized as < 3.9 or ≥ 3.9 mmol/L, while HbA1c levels were classified as < 6.5 or ≥ 6.5%. Participants were followed up prospectively for 12 months. The relationship of admission MAGE and HbA1c to the major adverse cardiac event (MACE) of patients with type 2 diabetes and HF following ASTEMI was analyzed.

RESULTS

Among the 484 enrolled patients, the occurrence of MACE differed significantly based on MAGE categories (< 3.9 vs. ≥ 3.9 mmol/L), with rates of 13.6% and 25.3%, respectively (P = 0.001). While MACE rates varied by HbA1c categories (< 6.5 vs. ≥ 6.5%) at 15.7% and 21.8%, respectively (P = 0.086). Patients with higher MAGE levels exhibited a notably elevated risk of cardiac mortality and an increased incidence of HF rehospitalization. The Kaplan-Meier curves analysis demonstrated a significantly lower event-free survival rate in the high MAGE level group compared to the low MAGE level group (log-rank test, P < 0.001), while HbA1c did not exhibit a similar distinction. In multivariate analysis, high MAGE level was significantly associated with incidence of MACE (hazard ratio 3.645, 95% CI 1.287-10.325, P = 0.015), whereas HbA1c did not demonstrate a comparable association (hazard ratio 1.075, 95% CI 0.907-1.274, P = 0.403).

CONCLUSIONS

Elevated admission GV emerges as a more significant predictor of 1-year MACE in patients with type 2 diabetes and HF following ASTEMI, surpassing the predictive value of HbA1c.

Comparative effects of fixed-dose mitiglinide/voglibose combination and glimepiride on vascular endothelial function and glycemic variability in patients with type 2 diabetes: A randomized controlled trial

INTRODUCTION

The aim of this study was to compare the effects of mitiglinide/voglibose with those of glimepiride on glycemic variability and vascular endothelial function in patients with type 2 diabetes.

MATERIALS AND METHODS

It was a multicenter, open-label, randomized, crossover study. Hospitalized patients received either mitiglinide/voglibose (three times daily administration of 10 mg mitiglinide and 0.2 mg voglibose) or glimepiride (once-daily 2 mg) in random order, each for 5 days. The reactive hyperemia index (RHI) and the mean amplitude of glycemic excursions (MAGE) were measured as co-primary endpoints using reactive hyperemia peripheral arterial tonometry and continuous glucose monitoring.

RESULTS

The analysis included 30 patients (15 in each group). The RHI was 1.670 ± 0.369 during treatment with mitiglinide/voglibose and 1.716 ± 0.492 during treatment with glimepiride, with no significant difference between the two. MAGE was significantly lower in the mitiglinide/voglibose group (47.6 ± 18.5 mg/dL) than in the glimepiride group (100.6 ± 32.2 mg/dL). Although the mean blood glucose levels over the entire 24 h period were comparable between the two groups, the use of mitiglinide/voglibose was associated with a lower standard deviation of mean glucose, coefficient of variation, and mean postprandial glucose excursion compared with glimepiride. The time below range (<70 mg/dL) and the time above range (>180, >200, and 250 mg/dL) were lower in the mitiglinide/voglibose group, while the time in range (70-180 mg/dL) was higher.

CONCLUSIONS

In our short-duration randomized crossover study, although not impacting vascular endothelial function, mitiglinide/voglibose demonstrated potential benefits in reducing glycemic variability, postprandial hyperglycemia, and hypoglycemia in patients with type 2 diabetes.

Effect of 24 h glucose fluctuations on 30-day and 1-year mortality in patients with acute myocardial infarction: an analysis from the MIMIC-III database

Background

It is recognized that patients' blood glucose fluctuates over time during acute disease episodes, especially during the outbreak of cardiovascular events, regardless of the presence of an abnormal blood glucose profile prior to admission to the hospital. Glucose fluctuations in patients with acute myocardial infarction (AMI) in the intensive care unit (ICU) are currently not adequately monitored and studied. We focused on blood glucose fluctuation values within 24 h of admission to assess their association with 30-day and 1-year mortality.

Methods

Data of patients with AMI aged 18 years or older from the Critical Care Medical Information Marketplace database III V1.4 were available for analysis in this research. Glucose data were obtained by measurement. A total of 390 of them were treated with PCI. The principal consequence was 30-day and 1-year mortality in patients with AMI. The effect of different glucose fluctuations within 24 h of admission on mortality was predicted by constructing a multivariate Cox regression model with four model adjustments and Kaplan-Meier survival curves. Additionally, we performed curve-fitting analyses to show the correlation between blood glucose fluctuations and risk of death.

Results

We selected 1,699 AMI patients into our study through screening. The included population was categorized into three groups based on the tertiles of blood glucose fluctuation values within 24 h of admission to the ICU. The three groups were <25 mg/dl, 25-88 mg/dl and >88 mg/dl. By cox regression analysis, the group with the highest blood glucose fluctuation values (>88 mg/dl) had the most significant increase in 30-day and 1-year mortality after excluding confounding factors (30-day mortality adjusted HR = 2.11; 95% CI = 1.49-2.98 p < 0.001; 1-year mortality adjusted HR = 1.83; 95% CI = 1.40-2.39 p < 0.001). As demonstrated by the Kaplan-Meier survival curves, the group with the greatest fluctuations in blood glucose has the worst 30-day and 1-year prognosis.

Conclusions

The extent of glucose fluctuations in patients with AMI in the first 24 h after ICU admission is an essential predictor as to 30-day as well as 1-year mortality. When blood glucose fluctuates more than 88 mg/dl within 24 h, mortality increases significantly with the range of blood glucose fluctuations.

Short-term glucose variability as a determinant of the healing rate of diabetic foot ulcer: A retrospective study

BACKGROUND

The aim of this study was to describe the clinical characteristics of people with diabetic foot ulcer (DFU) according to glucose variability (GV) and to investigate the relationship between GV and DFU outcome in a population with type 2 diabetes (T2D) and DFU.

METHODS

This is a retrospective study of 300 individuals aged 64.3 years (181 males) treated for DFU in a tertiary-care center with a regular follow-up for 6 months. Laboratory measurements and clinical assessments were collected at baseline. According to the coefficient of variation (CV) cut-off (≥36%), people were divided into two groups (low and high GV).

RESULTS

Compared with low GV group (n = 245), high GV group (n = 55) had significant longer duration of diabetes [low vs high GV, mean ± Standard Deviation (SD), 17.8 ± 11.8 vs 22.4 ± 10.8, P = 0.012], higher levels of glycated haemoglobin [median (IQR), 7.4 (6.6, 8.8) vs 8.2 (7.0, 9.6), P = 0.010] and urinary albumin excretion [25.2 (11.9, 77.0) vs 48.0 (23.2, 106.0), P = 0.031]. Moreover, 10 days self-monitoring of blood glucose-derived glycemic metrics were significantly different between groups. No differences among clinical features were found. The multiple logistic regression analysis identified CV and SD as negative predictors of healing.

CONCLUSIONS

In a population of people with T2D and DFU treated in a tertiary-care center, individuals with high GV had a 3-fold higher risk of healing failure, as compared with those with low GV. CV and SD were related to poor healing within 6 months follow-up.

Enhancement of Ambulatory Glucose Profile for Decision Assistance and Treatment Adjustments

The ambulatory glucose profile (AGP) lacks sufficient statistical metrics and insightful graphs; indeed, it is missing important information on the temporal patterns of glucose variations. The AGP graph is difficult to interpret due to the overlapping metrics and fluctuations in glucose levels over 14 days. The objective of this proposed work is to overcome these challenges, specifically the lack of insightful information and difficulty in interpreting AGP graphs, to create a platform for decision assistance. The present work proposes 20 findings built from decision rules that were developed from a combination of AGP metrics and additional statistical metrics, which have the potential to identify patterns and insightful information on hyperglycemia and hypoglycemia. The "CGM Trace" webpage was developed, in which insightful metrics and graphical representations can be used to make inferences regarding the glucose data of any user. However, doctors (endocrinologists) can access the "Findings" tab for a summarized presentation of their patients' glycemic control. The findings were implemented for 67 patients' data, in which the data of 15 patients were collected from a clinical study and the data of 52 patients were gathered from a public dataset. The findings were validated by means of MANOVA (multivariate analysis of variance), wherein a p value of < 0.05 was obtained, depicting a strong significant correlation between the findings and the metrics. The proposed work from "CGM Trace" offers a deeper understanding of the CGM data, enhancing AGP reports for doctors to make treatment adjustments based on insightful information and hidden patterns for better diabetic management.

Association between perioperative glucose profiles assessed by the continuous glucose monitoring (CGM) system and prognosis in patients with ST-segment elevation myocardial infarction (STEMI): protocol for a cohort study

INTRODUCTION

ST-segment elevation myocardial infarction (STEMI) presents a serious cardiovascular condition requiring prompt intervention. Dysglycaemia has been identified as a significant risk factor impacting STEMI prognosis. However, limited research has focused on comprehensively examining the association between glucose dynamics during the perioperative period and patient outcomes. This study aims to address this gap by leveraging continuous glucose monitoring (CGM) technology to gain real-time insights into glucose fluctuations and their potential impact on STEMI prognosis.

METHODS AND ANALYSIS

This is a multicentre, prospective, 3-year follow-up cohort study. Between May 2023 and May 2024, 550 eligible STEM patients who underwent percutaneous coronary intervention are expected to be recruited. Using the CGM system, continuous glucose levels will be collected throughout the perioperative phase. Key clinical parameters, including cardiac biomarkers, angiographic findings and major adverse cardiovascular events, will be assessed in relation to glucose profile.

ETHICS AND DISSEMINATION

The study was approved by the Medical Research Ethics Committee of The First Affiliated Hospital of University of Science and Technology of China and will be conducted in accordance with the moral, ethical and scientific principles of the Declaration of Helsinki. Written informed consent will be obtained from all participants before any study-related procedures are implemented. Study results will be disseminated through conferences and peer-reviewed scientific journals.

TRIAL REGISTRATION NUMBER

ChiCTR2300069662.

Role of the Adrenal Medulla in Hypoglycaemia-Associated Autonomic Failure-A Diabetic Perspective

Hypoglycaemia-associated autonomic failure (HAAF) is characterised by an impairment in adrenal medullary and neurogenic symptom responses following episodes of recurrent hypoglycaemia. Here, we review the status quo of research related to the regulatory mechanisms of the adrenal medulla in its response to single and recurrent hypoglycaemia in both diabetic and non-diabetic subjects with particular focus given to catecholamine synthesis, enzymatic activity, and the impact of adrenal medullary peptides. Short-term post-transcriptional modifications, particularly phosphorylation at specific residues of tyrosine hydroxylase (TH), play a key role in the regulation of catecholamine synthesis. While the effects of recurrent hypoglycaemia on catecholamine synthetic enzymes remain inconsistent, long-term changes in TH protein expression suggest species-specific responses. Adrenomedullary peptides such as neuropeptide Y (NPY), galanin, and proenkephalin exhibit altered gene and protein expression in response to hypoglycaemia, suggesting a potential role in the modulation of catecholamine secretion. Of note is NPY, since its antagonism has been shown to prevent reductions in TH protein expression. This review highlights the need for further investigation into the molecular mechanisms involved in the adrenal medullary response to hypoglycaemia. Despite advancements in our understanding of HAAF in non-diabetic rodents, a reliable diabetic rodent model of HAAF remains a challenge.

Experimental pharmacological approaches to reverse impaired awareness of hypoglycemia-a review

The colossal global burden of diabetes management is compounded by the serious complication of hypoglycemia. Protective physiologic hormonal and neurogenic counterregulatory responses to hypoglycemia are essential to preserve glucose homeostasis and avert serious morbidity. With recurrent exposure to hypoglycemic episodes over time, these counterregulatory responses to hypoglycemia can diminish, resulting in an impaired awareness of hypoglycemia (IAH). IAH is characterized by sudden neuroglycopenia rather than preceding cautionary autonomic symptoms. IAH increases the risk of subsequent sudden and severe hypoglycemic episodes in patients with diabetes. The postulated causative mechanisms behind IAH are complex and varied. It is therefore challenging to identify a single effective therapeutic strategy. In this review, we closely examine the efficacy and feasibility of a myriad of pharmaceutical interventions in preventing and treating IAH as described in clinical and preclinical studies. Pharmaceutical agents outlined include N-acetyl cysteine, GABA A receptor blockers, opioid receptor antagonists, AMP activated protein kinase agonists, potassium channel openers, dehydroepiandrosterone, metoclopramide, antiadrenergic agents, antidiabetic agents and glucagon.

Baseline high-sensitivity C-reactive protein and glycosylated hemoglobinA1c predict adverse outcomes in patients with chronic coronary syndromes undergoing percutaneous coronary intervention

Introduction

This study explored the ability of high-sensitivity C-reactive protein (hs-CRP) and glycosylated hemoglobin A1c (HbA1c) to predict adverse cardiac and cerebrovascular outcomes in patients with chronic coronary syndromes (CCS) undergoing percutaneous coronary intervention (PCI).

Methods

In total, 4083 consecutive patients with CCS undergoing PCI were investigated throughout 2013 at a single center. The primary endpoint was all-cause death at the 5-year follow-up. Hs-CRP and HbA1c data were collected on admission.

Results

The highest quartile of hs-CRP had a significantly increased the risk of all-cause death, with an adjusted HR of 1.747 (95 % CI 1.066-2.863), while, there was no difference in all-cause death among the groups of HbA1c after adjustment, with an adjusted HR of 1.383 (95 % CI 0.716-2.674). The highest quartiles for hs-CRP and HbA1c in the study population had a significantly increased risk of major adverse cardiac and cerebrovascular events (MACCE), with an adjusted hazard ratios (HR) of 1.263 (95 % confidence intervals [CI] 1.032-1.545) for hs-CRP and an adjusted HR of 1.417 (95 % CI 1.091-1.840) for HbA1c. Remarkably, the incidence of all-cause death and that of MACCE were significantly increased when both hs-CRP and HbA1c were elevated (HR 1.971, 95 % CI 1.079-3.601, P = 0.027 and HR 1.560, 95 % CI 1.191-2.042), P = 0.001, respectively). Addition of hs-CRP and HbA1c to conventional risk factors significantly improved prediction of the risk of all cause death (net reclassification index 0.492, P < 0.001; integrated discrimination improvement 0.007, P = 0.011) and MACCE (net reclassification index 0.160, P < 0.001; integrated discrimination improvement 0.006, P < 0.001).

Conclusions

Hs-CRP and HbA1c can serve as independent predictors of MACCE in patients with CCS undergoing PCI. Furthermore, a combination of hs-CRP and HbA1c could predict all cause death and MACCE better than each component individually.

Comparison of Effects of Injectable Semaglutide and Dulaglutide on Oxidative Stress and Glucose Variability in Patients with Type 2 Diabetes Mellitus: A Prospective Preliminary Study

INTRODUCTION

Recent trials have shown that glucagon-like peptide-1 receptor agonists considerably reduce atherosclerotic cardiovascular disease in patients with type 2 diabetes mellitus (T2DM). Oxidative stress, a surrogate marker of cardiovascular risk, is associated with glucose variability. However, to the best of our knowledge, no studies have compared the effects of injectable semaglutide and dulaglutide therapies on oxidative stress and glucose variability assessed via continuous glucose monitoring (CGM). This study aimed to analyze and compare the effects of semaglutide and dulaglutide therapies on oxidative stress and glucose variability as assessed through CGM.

METHODS

This is an open-label, multicenter, randomized, prospective, parallel-group comparison study. Overall, 37 patients with T2DM treated with dulaglutide for at least 12 weeks were randomized into two groups: one receiving continuous dulaglutide therapy (n = 19) and one receiving injectable semaglutide therapy (n = 18) groups. The coprimary endpoints were changes in the results of the diacron-reactive oxygen metabolites test, an oxidative stress marker, and CGM-evaluated glucose variability after 24 weeks. The secondary endpoint was changes in the Diabetes Treatment Satisfaction Questionnaire (DTSQ) scores.

RESULTS

Switching to semaglutide therapy was better than continuous dulaglutide therapy in reducing oxidative stress, glucose variability, and glycated hemoglobin levels. Conversely, continuous dulaglutide therapy was better than semaglutide therapy in terms of DTSQ scores for "Convenience" and "Recommend."

CONCLUSION

Injectable semaglutide therapy may be more effective than dulaglutide therapy in ameliorating oxidative stress and regulating glucose metabolism, including glucose variability, in patients with T2DM, while dulaglutide therapy may be more effective in terms of treatment satisfaction.

CLINICAL TRIAL REGISTRATION

UMIN-CRT ID: UMIN000042670 (registered 7 December 2020).

Glycemic variability: Measurement, target, impact on complications of diabetes and does it really matter?

Over the past two decades, there has been continuous advancement in the accuracy and complexity of continuous glucose monitoring devices. Continuous glucose monitoring provides valuable insights into blood glucose dynamics, and can record glucose fluctuations accurately and completely. Glycemic variability (GV) is a straightforward measure of the extent to which a patient's blood glucose levels fluctuate between high peaks and low nadirs. Many studies have investigated the relationship between GV and complications, primarily in the context of type 2 diabetes. Nevertheless, the exact contribution of GV to the development of diabetes complications remains unclear. In this literature review, we aimed to summarize the existing evidence regarding the measurement, target level, pathophysiological mechanisms relating GV and tissue damage, and population-based studies of GV and diabetes complications. Additionally, we introduce novel methods for measuring GV, and discuss several unresolved issues of GV. In the future, more longitudinal studies and trials are required to confirm the exact role of GV in the development of diabetes complications.