Association of Longitudinal Values of Glycated Hemoglobin With Cardiovascular Events in Patients With Type 2 Diabetes and Multivessel Coronary Artery Disease

Cardiovascular diseases consequences of type 1, type 2 diabetes mellitus and glycemic traits: A Mendelian randomization study

OBJECTIVE

This Mendelian randomization (MR) study aimed to investigate the relationships between type 1 diabetes (T1D), type 2 diabetes (T2D), and glycemic traits, including fasting insulin, fasting glucose, and HbA1c, with cardiovascular diseases (CVDs).

METHODS

We selected genetic instruments for predisposition to T1D, T2D, fasting insulin, fasting glucose, and HbA1c based on published genome-wide association studies. Using a 2-Sample MR approach, we assessed associations with 12 common CVDs sourced from the FinnGen and UK Biobank studies, along with stroke subtypes obtained from the GIGASTROKE and MEGASTROKE Consortium.

RESULTS

T1D was associated with SVS. T2D showed associations with AIS, LAA, CES, SVS, coronary heart disease, myocardial infarction, pulmonary embolism, DVT of lower extremities, peripheral vascular diseases. Genetically predicted higher HbA1c levels were associated with eight CVDs. The results of MVMR aligned with the primary findings for T1D and T2D.

CONCLUSIONS

T1D and T2D exhibit different genetic predisposition to CVDs. BMI, LDL, and HDL play intermediary roles in connecting TID and T2D to specific types of CVDs, providing insights into the potential underlying pathways and mechanisms involved in these relationships. Strategies aimed at achieving sustained reductions in HbA1c levels may offer potential for reducing the risk of various CVDs.

Association and pathways of baseline and longitudinal hemoglobin A1c with the risk of incident stroke: A nationwide prospective cohort study

AIMS

To investigate the association of baseline and long-term mean hemoglobin A1c (HbA1c) with the risk of stroke.

METHODS

A total of 11,220 participants aged over 45 years and without stroke at baseline were enrolled from the China Health and Retirement Longitudinal Study. Mean HbA1c was calculated as the mean of HbA1c at all previous visits before stroke occurred or the end of follow-up. Multivariable-adjusted Cox regressions and Bayesian network were used for the analysis.

RESULTS

During a median follow-up of 7.50 years, a total of 626 cases of stroke occurred. The risk of stroke increased with quintiles of baseline and mean HbA1c, the hazard ratio (HR) in Q5 versus Q1 was 1.30 (95 % confidence interval [CI],1.03-1.64) and 1.79 (95 % CI, 1.38-2.34), respectively. Per 1 unit increase in baseline and mean HbA1c was associated with 10 % (HR, 1.10; 95 % CI, 1.02-1.18) an 12 % (HR, 1.12; 95 % CI, 1.05-1.19) higher risk of stroke. Bayesian network analysis showed that the pathway from HbA1c to stroke was through hypertension, dyslipidemia, obesity, and inflammation.

CONCLUSIONS

Elevated levels of both baseline and long-term HbA1c were associated with increased risk of stroke, and hypertension and obesity played an important role in the pathway.

Intensified glycemic control by HbA1c for patients with coronary heart disease and Type 2 diabetes: a review of findings and conclusions

The occurrence and development of coronary heart disease (CHD) are closely linked to fluctuations in blood glucose levels. While the efficacy of intensified treatment guided by HbA1c levels remains uncertain for individuals with diabetes and CHD, this review summarizes the findings and conclusions regarding HbA1c in the context of CHD. Our review showed a curvilinear correlation between regulated level of HbA1c and therapeutic effectiveness of intensified glycemic control among patients with type 2 diabetes and coronary heart disease. It is necessary to optimize the dynamic monitoring indicators of HbA1c, combine genetic profiles, haptoglobin phenotypes for example and select more suitable hypoglycemic drugs to establish more appropriate glucose-controlling guideline for patients with CHD at different stage of diabetes.

A hospital-based assessment of glycemic control and medication adherence in type 2 diabetes mellitus in Eastern Nepal

Background

Poor glycemic control in type 2 diabetes mellitus (T2DM) causes damage to various organs and leads to the development of disabling and life-threatening complications.

Objectives

To find out the prevalence of glycemic control and medication adherence (MA) and the factors affecting them.

Methods

A cross-sectional study was conducted among patients with T2DM. The patients were categorized as good glycemic control (HbA1c <7.0%) and poor glycemic control (HbA1c ≥7.0%). MA was categorized as low (score <6), medium (score 6 or 7), and high (score 8). The Statistical Package for Social Science (version 11.5) was used for statistical analysis at a P value less than 0.05.

Results

Of 129 patients, 65 (50.39%) were females. The mean age was 48.33 ± 12.86 years. The combination of metformin and glimepiride was prescribed to 37 (28.68%) patients. Diabetic knowledge was poor in 84 (65.12%) patients. Glycemic control was good in 108 (83.72%) patients. MA was medium in 72 (55.81%) patients. Patients taking regular fruit, having shorter duration of drug therapy, and having good diabetic knowledge had good glycemic control and were statistically significant (P value < 0.05). Patients having family support, nonalcoholic, taking regular fruit, being involved in daily jogging, having shorter duration of drug therapy, and having good diabetic knowledge had high MA and were statistically significant (P value < 0.05).

Conclusion

The majority of the diabetic patients had good glycemic control and medium MA. Patients taking regular fruit, being involved in daily jogging, having a shorter duration of drug therapy, and having good diabetic knowledge were identified as factors that affect both glycemic control and MA.

The association of glycated hemoglobin A1c with coronary artery disease, myocardial infarction, and severity of coronary lesions

Glycated hemoglobin A1c (HbA1c) has been recognized as a predictor of cardiovascular events. However, the relationship between HbA1c and coronary artery disease (CAD) in the Chinese population has yet to be systematically explored. In addition, factors associated with HbA1c were generally analyzed linearly, thereby failing to appreciate more complex nonlinear associations. The study aimed to evaluate the relationship between the HbA1c value and the presence and severity of coronary artery stenosis. A total of 7192 consecutive patients who underwent coronary angiography were enrolled. Their biological parameters, including HbA1c, were measured. The severity of coronary stenosis was evaluated using Gensini score. After correcting for baseline confounding factors, a multivariate logistic regression analysis was used to evaluate the relationship between HbA1c and CAD severity. Restricted cubic splines were applied to explore the relation of HbA1c with the presence of CAD, myocardial infarction (MI), and the severity of coronary lesions. HbA1c was significantly associated with the presence and severity of CAD in patients without diagnosed diabetes (odds ratio: 1.306, 95% confidence interval: 1.053-1.619, p = 0.015). Spline analysis showed a U-shaped association of HbA1c with the presence of MI. Both HbA1c > 7.2% and HbA1c < 5.7% were associated with the presence of MI. In conclusion, HbA1c value was highly associated with the severity of coronary artery stenosis in the whole study population, and in CAD patients without diagnosed diabetes. Compared with patients with HbA1c levels between 6.0% and 7.0%, HbA1c < 5.7% and HbA1c > 7.2% were associated with higher presence of MI.

Development and External Validation of Nomogram to Identify Risk Factors for CHD in T2DM in the Population of Northwestern China

Purpose

Cardiovascular disease is the leading cause of mortality in patients with type 2 diabetes mellitus (T2DM). This study aimed to develop and validate a nomogram for predicting the risk factors for coronary heart disease (CHD) in T2DM in the population of northwestern China.

Patients and Methods

The records of 2357 T2DM patients who were treated in the First Affiliated Hospital of Xinjiang Medical University from July 2021 to July 2022 were reviewed. After some data (n =239) were excluded, 2118 participants were included in the study and randomly divided into a training set (n =1483) and a validation set (n = 635) at a ratio of 3:1. Univariate and stepwise regression analysis was performed to screen risk factors and develop predictive models. The results of logistic regression are presented through a nomogram. The C-index, receiver operating characteristic (ROC) curve, calibration plot, and decision curve analysis (DCA) were employed to verify the distinction, calibration, and clinical practicality of the model.

Results

The stepwise logistic regression analysis suggested that independent factors in patients with T2DM combined with CHD were age, gender, hypertension (HTN), glycated hemoglobin (HbA1c), high density lipoprotein cholesterol (HDL-C), low density lipoprotein cholesterol (LDL-C), and Uygur, which were associated with the occurrence of CHD. The nomogram demonstrated good discrimination with a C-index of 0.771 (95% CI, 0.741, 0.800) in the training set and 0.785 (95% CI, 0.743, 0.828) in the validation set. The area under curve (AUC) of the ROC curves were 0.771 (95% CI, 0.741, 0.800) and 0.785 (95% CI, 0.743, 0.828) in the training and validation sets, respectively. The nomogram was well-calibrated. The DCA revealed that the nomogram was clinically valuable.

Conclusion

A nomogram based on 7 clinical characteristics was developed to predict CHD in patients with T2DM.

Pharmacological Treatment of Type-2-Diabetes and Cardiovascular Comorbidities: Differences between Undocumented Migrants and Natives in Italy

Diabetes prevalence is growing worldwide, especially in some populations. Though migrations seem to contribute to the presence in host countries of a significant number of patients with diabetes and its comorbidities, very little is known about the health conditions of undocumented migrants. We retrospectively studied 838 patients with type 2 diabetes mellitus (T2DM), 425 Italians followed by the diabetes clinic of a university hospital, and 413 undocumented migrants receiving assistance from a non-governmental organization. We analyzed their demographic and clinical data together with the medications they were on. The prevalence of the use of specific classes of drugs was compared between undocumented migrants and Italians by fitting a Poisson regression model, and the results were reported as prevalence rate ratios (PRRs) with a 95% confidence interval. Undocumented migrants with T2DM received fewer medications for cardiovascular (CV) conditions (PRR: 0.68, 0.60 to 0.76) than Italians, after correcting for confounding factors. Only sulfonylureas were more frequently used in undocumented migrants. The causes of these differences are not completely clear, but social, cultural, and economic factors can have an important role. More efforts are needed to provide appropriate treatment of diabetes and its CV comorbidities to undocumented migrants.

Association of country economy and socioeconomic factors on risk factor control for primary prevention of cardiovascular disease in patients with diabetes mellitus: Insights from the DISCOVER Study

BACKGROUND

We sought to describe global patterns in achievement of risk factor control for primary prevention in patients with T2D and explore the association of country's GNI/capita with risk factor control.

METHODS

The DISCOVER study is a prospective, observational study of patients with T2D from 38 countries enrolled at initiation of second-line glucose-lowering therapy. We examined achievement of risk factor control (glycosylated hemoglobin <7%, blood pressure <140/90 mmHg, prescription of a statin) at 3 years among those without optimal control at baseline. Countries were stratified by gross national income (GNI)/capita, from 2017). We examined the impact of country GNI/capita with achievement of risk factor control.

FINDINGS

Our cohort included 9613 patients with T2D and without baseline cardiovascular disease (mean age 57.2 ± 8.7 years, 47.9% women). At baseline, 6354/7646 patients (83.1%) had suboptimal glucose control, 3449/9200 patients (37.5%) had suboptimal BP control, and 2800/4221 patients (66.7%) were not on an appropriate statin (sample sizes differed due to missing covariate data). Optimal control at 3 years of follow-up was achieved in 41% (glucose), 56% (blood pressure), and 29% (statins) of patients. There was significant variability in achievement of risk factor control across countries but no association between country GNI/capita with achievement of risk factor control (p>0.08 for all).

INTERPRETATION

In a global, prospective study of patients with T2D, we found that cardiovascular risk factor control achievement was suboptimal despite 3 years of follow-up in specialized health care systems. Neither country-level nor patient-level socioeconomic factors fully explained this finding.

Associations between glycated hemoglobin and the risks of incident cardiovascular diseases in patients with gout

BACKGROUND

Evidence for the relationship between glycated hemoglobin (HbA1c) levels and risk of cardiovascular diseases (CVD) in patients with gout remained sparse and limited. This study aims to explore the associations between HbA1c levels and risks of incident CVD in patients with gout.

METHODS

We included patients with gout who had an HbA1c measurement at baseline from the UK Biobank. CVD events were identified from through medical and death records. We used multivariable Cox proportional hazards model with a restricted cubic spline to assess the potential non-linear effect of HbA1c on CVD risk.

RESULTS

We included a total of 6,685 patients (mean age 59.7; 8.1% females) with gout for analyses. During a mean follow-up of 7.3 years, there were 1,095 CVD events documented with an incidence of 2.26 events per 100 person-years (95% confidence interval [CI]: 2.13-2.40). A quasi J-shaped association between HbA1c and risk of CVD was observed, with the potentially lowest risk found at the HbA1c of approximately 5.0% (hazard ratio [HR] = 0.65, 95% CI: 0.53-0.81). When compared with the HbAlc level of 7%, a significantly decreased risk of CVD was found from 5.0 to 6.5%, while an increased risk was observed at 7.5% (HR = 1.05) and 8.0% (HR = 1.09). Subgroup analyses yielded similar results to the main findings in general.

CONCLUSIONS

Based on data from a nationwide, prospective, population-based cohort, we found a quasi J-shaped relationship between HbA1c and risk of CVD in patients with gout. More high-quality evidence is needed to further clarify the relationship between HbA1c and CVD risk in patients with gout.

Management of Diabetes and Hypertension within the Gulf Region: Updates on Treatment Practices and Therapies

Cardiovascular disease (CVD) is a leading cause of death globally, driven by the high rates of risk factors, such as diabetes and hypertension. As the prevalence of these risk factors is particularly high in the Gulf region, better diagnosis and management of type 2 diabetes (T2D) and hypertension has the potential to dramatically reduce adverse cardiovascular outcomes for individuals in that part of the world. This article provides a summary of presentations made during the EVIDENT summit, a virtual symposium on Evidence in Diabetes and Hypertension, held in September 2021, including a review of the various guidelines for both T2D and hypertension, as well as recent findings relevant to the safety and efficacy for therapies relating to these conditions. Of relevance to the Gulf region, the risk of hypoglycaemia with sulfonylureas during Ramadan was reviewed. For the management of T2D, sulfonylureas have been a long-standing medication used to achieve glycaemic control; however, differences have emerged between early and later generations, with recent studies suggesting improvements in the safety profiles of late-generation sulfonylureas. For patients with hypertension, incremental therapy changes are recommended to reduce the risk of cardiovascular complications that are associated with increasing blood pressure. For first-line therapy, angiotensin-converting enzyme inhibitors (ACEi), such as perindopril, have been demonstrated to reduce the risk of cardiovascular and all-cause mortality. The addition of calcium channel blockers and diuretics to ACEi has been shown to be effective in patients with poorly controlled hypertension. The different renin-angiotensin-aldosterone system inhibitors are reviewed, and the benefit of combination therapies, including amlodipine and indapamide in patients with difficult-to-control hypertension, is investigated. The benefits of lifestyle modifications for these patients are also discussed, with important clinical considerations that are expected to inform patient management in daily clinical practice.

Association of Telomere Length and Serum Vitamin D Levels with Type 2 Diabetes Mellitus and its Related Complications: A Possible Future Perspective

Evidence show that shortened telomere length (TL) and low Vitamin D levels can increase the risk of type 2 diabetes mellitus (T2DM) and its associated complications. T2DM has been considered as an age-related disease, it may be associated with TL. The study aimed to evaluate the association of TL and Vitamin D levels with complications of T2DM and the impact of Vitamin D on TL in patients with T2DM. This 1-year cross-sectional study was conducted at a tertiary care hospital on 90 patients. Height, weight, body mass index, waist-hip ratio was calculated. Fasting blood sugars, postprandial blood sugar, and glycated hemoglobin (HbA1c) were analyzed. Absolute TL was obtained from quantitative real-time polymerase chain reaction (qPCR). Vitamin D estimation was done by chemiluminescent immunoassay. Descriptive analysis of the data was done using R i386 3.6.3. The study found a positive correlation between TL and Vitamin D levels (r = 0.64; P < 0.0001). The interaction with high HbA1c levels and lower levels of Vitamin D led to the shortening of TL (P = 0.0001). The median of TL and mean of Vitamin D levels were significantly less in the diabetic group (P < 0.0001). Vitamin D levels positively affected the TL and its levels had an inverse relation with the HbA1c levels. This association had a significant effect on the shortening of TL. Vitamin D also had a significant association with other diabetic complications that instigated the shortening of TL. Therefore, assessing the role of Vitamin D levels on the shortening of TL can prove to be crucial biomarkers in managing optimal glycemic levels in T2DM patients.