Association of diabetes mellitus with clinical outcomes in patients with different coronary artery stenosis

Understanding Myocardial Infarction with Non-Obstructive Coronary Arteries (MINOCA): a comprehensive meta-analysis of clinical characteristics, management, and prognosis compared to MI with the Obstructive Coronary Artery (MIOCA)

BACKGROUND

MINOCA (Myocardial Infarction with Non-Obstructive Coronary Arteries) represents a unique subset of acute coronary syndrome, distinct from MIOCA (Myocardial Infarction with Obstructive Coronary Arteries) and a control group. This study systematically compares their prevalence, clinical characteristics, management strategies, and outcomes to improve understanding and treatment approaches.

METHODS

This systematic review and meta-analysis followed PRISMA guidelines across multiple databases up to 2024. STATA 17 was used for statistical analyses, and the Newcastle-Ottawa Scale was employed to assess study quality.

RESULTS

One-hundred and twelve studies, including 5,908,768 patients, were analyzed. The pooled prevalence of MINOCA among patients undergoing coronary angiography was 8.92% (95% CI: 8.90-8.94). MINOCA patients were generally younger, predominantly female, and more likely to present with atypical chest pain and dyspnea compared to MIOCA patients. Laboratory findings showed higher levels of CRP, BNP, and fibrinogen in MINOCA patients, suggesting inflammation and microvascular dysfunction as key mechanisms. In contrast, MIOCA patients had higher rates of diabetes and dyslipidemia, highlighting differences in pathophysiological processes. Medication use differed between the groups, with MINOCA patients more likely to be prescribed anticoagulants and β-blockers. Prognostically, MINOCA patients experienced significantly lower rates of adverse short- and long-term outcomes, including major adverse cardiac events (MACE) and cardiovascular death, compared to MIOCA patients.

CONCLUSIONS

This study demonstrated that patients with MINOCA have a better prognosis compared to those with MIOCA and are at a lower risk of serious cardiac events. Based on the findings of this study, we emphasize that microcirculation and vascular spasm are the main mechanisms involved in MINOCA. Considering these findings, it is suggested that a better management strategy for MINOCA patients can be established by precisely defining diagnostic criteria and focusing on anti-inflammatory treatments and risk factor control.

Detecting severe coronary artery stenosis in T2DM patients with NAFLD using cardiac fat radiomics-based machine learning

To analyze radiomics features of cardiac adipose tissue in individuals with type 2 diabetes (T2DM) and non-alcoholic fatty liver disease (NAFLD), integrating relevant clinical indicators, and employing machine learning techniques to construct a precise model for detecting severe coronary artery stenosis. A retrospective analysis of 710 T2DM patients with NAFLD was conducted at First People's Hospital of Wenling. The study population was randomly divided into a training set (n = 497) and a validation set (n = 213). Radiomics features from cardiac fat CT images, including epicardial adipose tissue (EAT) and paracardial adipose tissue (PAT), were extracted for all patients. The semi-automated segmentation and extraction of shape, first-order statistics, texture, and wavelet were performed using specialized software. Simultaneously, clinical characteristics were collected. Following feature selection, four machine learning algorithms were utilized to develop radiomics, clinical, and combined radiomics-clinical models. The detection performance of these models was subsequently evaluated in both the training and validation cohorts. Additionally, Shapley Additive exPlanations (SHAP) values were calculated to quantify the importance of features. A total of 10 radiomics features for EAT and PAT were extracted from CT images after feature selection. The clinical model obtained an area under the curve (AUC) of 0.747 with the support vector machine (SVM), while the radiomics model reached an AUC of 0.838 with the extreme gradient boosting (XGBoost) algorithm. In comparison, the radiomics-clinical model using XGBoost demonstrated superior detection capability, achieving an AUC of 0.883 in the training set and maintaining high performance in the validation set, with the highest F1 score, accuracy, and precision. SHAP analysis revealed the importance of radiomics features from EAT and PAT, as well as clinical factors such as diabetes duration, global longitudinal strain (GLS), and low-density lipoprotein cholesterol (LDL-C), in detecting severe coronary artery stenosis. This study confirms that the integrated application of cardiac fat radiomics features and clinical data using machine learning models, particularly the XGBoost algorithm, facilitates the detection of severe coronary artery stenosis in T2DM patients with NAFLD. SHAP analysis further elucidates the contribution of key variables in the model, providing crucial foundations for personalized treatment decision-making.

Stepwise cardiovascular risk stratification in patients with type 2 diabetes based on coronary CT assessment

BACKGROUND

We aimed to examine the stepwise risk stratification for predicting major adverse cardiovascular events (MACE) in patients with DM and suspected coronary artery disease (CAD).

METHOD

1187 patients with suspected CAD enrolled in a prospective cohort study were examined. The patients were evaluated step-by-step with coronary artery calcification (CAC), coronary artery stenosis (CAS), and FFRCT analysis. Hazard ratio (HR) and 95 % confidence interval (CI) for incidence MACE were calculated by Cox Proportional Hazards model for adjustment of Framingham risk score.

RESULTS

During a median follow-up of 4.0 years, MACE frequently occurred in DM patients than non-DM (15.9 % vs. 5.7 %). A lower CAC threshold with >0 or > 50 Agatston score was significantly associated with increased MACE in DM (HR [95 % CI], 3.62 [1.12-11.67] or 4.72 [2.11-10.55], respectively), but not in non-DM. DM patients with >50 CAC, CAS, and ≤ 0.71 FFRCT value showed the HR (95 % CI) for MACE was 9.84 (4.26-22.69) as compared with those with ≤50 CAC, whereas non-DM patients showed that it was 2.56 (1.02-6.43).

CONCLUSION

Step-by-step assessment using CAC, CAS, and FFRCT on top of clinical risk factors was useful for more accurate cardiovascular risk stratification in patients with DM.

Inflammation Biomarker-Driven Vertical Visualization Model for Predicting Long-Term Prognosis in Unstable Angina Pectoris Patients with Angiographically Intermediate Coronary Lesions

Objective

Angina, a prevalent manifestation of coronary artery disease, is primarily associated with inflammation, an established contributor to the pathogenesis of atherosclerosis and acute coronary syndromes (ACS). Various inflammatory markers are employed in clinical practice to predict patient prognosis and optimize clinical decision-making in the management of ACS. This study investigated the prognostic significance of integrating commonly used, easily repeatable inflammatory biomarkers within a multimodal preoperative prediction model in patients presenting with unstable Angina Pectoris (UAP) and intermediate coronary lesions.

Methods

This retrospective analysis included patients diagnosed with UAP and intermediate coronary lesions (50%-70% stenosis) who underwent coronary angiography at our hospital between January 2019 and June 2021. The assessed outcome was the occurrence of major adverse cardiac and cerebrovascular events (MACCEs). The Boruta algorithm was applied to identify potential risk factors and develop a prognostic multimodal model.

Results

A total of 773 patients were enrolled and divided into a training cohort (n=463) and validation cohort (n=310). A nomogram was constructed to predict the probability of MACCE-free survival based on five clinical features: diabetes mellitus, current smoking, history of myocardial infarction, neutrophil-to-lymphocyte ratio, and fasting blood glucose. In the training cohort, the area under the curve values for the nomogram at 24, 32, and 40 months were 0.669, 0.707, and 0.718, respectively, while those in the validation cohort were 0.613, 0.612 and 0.630, respectively. The model demonstrated good calibration in both cohorts with predicted outcomes aligning well with actual results at all time points up to 40 months. Furthermore, decision curve analysis showed significant clinical utility of the model across the specified time intervals.

Conclusion

The developed preoperative prognostic model visually illustrates the association among inflammation, blood glucose level, established risk factors, and long-term MACCEs in UAP patients with intermediate coronary lesions.

Long-term prognostic value of CT-based high-risk coronary lesion attributes and radiomic features of pericoronary adipose tissue in diabetic patients

AIMS

To investigate the long-term prognostic value of coronary computed tomography angiography (CCTA)-derived high-risk attributes and radiomic features of pericoronary adipose tissue (PCAT) in diabetic patients for predicting major adverse cardiac event (MACE).

METHODS AND RESULTS

Diabetic patients with intermediate pre-test probability of coronary artery disease were prospectively enrolled and referred for CCTA. Three models (model-1 with clinical parameters; model-2 with clinical factors + CCTA imaging parameters; model-3 with the above parameters and PCAT radiomic features) were developed in the training cohort (835 patients) and tested in the independent validation cohort (557 patients). 1392 patients were included and MACEs occurred in 108 patients (7.8%). Multivariable Cox regression analysis revealed that HbA1c, coronary calcium Agatston score, significant stenosis and high-risk plaque were independent predictors for MACE whereas none of PCAT radiomic features showed predictive value. In the training cohort, model-2 demonstrated higher predictive performance over model-1 (C-index = 0.79 vs. 0.68, p < 0.001) whereas model-3 did not show incremental value over model-2(C-index = 0.79 vs. 0.80, p = 0.408). Similar findings were found in the validation cohort.

CONCLUSIONS

The combined model (clinical and CCTA high-risk anatomical features) demonstrated high efficacy in predicting MACE in diabetes. PCAT radiomic features failed to show incremental value for risk stratification.

Patients With Non-Obstructive Coronary Artery Disease and Polyvascular Disease. Sub-Analysis of the Real-World Registry KAMMA (Clinical Registry on Patient Population With Polyvascular Disease in the Russian Federation and Eurasian Countries)

AIM

To study the clinical status and data of laboratory and instrumental examination of patients with non-obstructive ischemic heart disease (IHD) and multifocal atherosclerosis (MFA) included in the KAMMA registry.

MATERIAL AND METHODS

The subanalysis included 1,893 IHD patients who underwent coronary angiography (CAG) and ultrasonic examination of peripheral arteries. Based on the CAG data, patients were divided into two groups: group 1, patients with obstructive coronary atherosclerosis (CA) (maximum stenosis ≥50% and/or history of percutaneous coronary intervention/coronary artery bypass grafting, n=1728; 91.3%) and group 2, patients with non-obstructive CA (maximum stenosis <50%, n = 165; 8.7%).

RESULTS

A comparative analysis based on the degree of coronary obstruction in patients with verified IHD who were included in the KAMMA registry showed that 8.7% of them had coronary artery stenosis of less than 50%. The overwhelming majority of patients with non-obstructive CA had MFA affecting the brachiocephalic arteries in 94.3% and the lower extremity arteries in 40.2%. Among patients with non-obstructive IHD, women predominated; risk factors such as smoking and type 2 diabetes mellitus were less frequent in this group than in the obstructive IHD group. Patients with non-obstructive CA more frequently had a history of dyslipidemia; they had higher total cholesterol and non-high-density lipoprotein cholesterol; and they more frequently received moderate-intensity statin therapy than patients with obstructive CA (55.8% vs. 34.5%). Characteristic features of patients with non-obstructive CA were less severe IHD and less frequent history of acute coronary syndrome. However, the incidence of stroke, peripheral arterial thrombosis, and chronic arterial insufficiency of the lower extremities did not differ in groups 1 and 2, whereas the incidence of paroxysmal atrial fibrillation was higher in the non-obstructive IHD group.

CONCLUSION

IHD patients without coronary obstruction also require assessment of the peripheral arterial status, as they may have advanced MFA, which should be taken into account when choosing the "aggressiveness" of therapy.

Aggravating effect of abnormal low-density protein cholesterol level on coronary atherosclerotic plaque in type 2 diabetes mellitus patients assessed by coronary computed tomography angiography

BACKGROUND

The abnormal low-density protein cholesterol (LDL-C) level in the development of atherosclerosis is often comorbid in individuals with type 2 diabetes mellitus(T2DM). This study aimed to investigate the aggravating effect of abnormal LDL-C levels on coronary artery plaques assessed by coronary computed tomography angiography (CCTA) in T2DM.

MATERIALS AND METHODS

This study collected 3439 T2DM patients from September 2011 to February 2022. Comparative analysis of differences in coronary plaque characteristics was performed for the patients between the normal LDL-C level group and the abnormal LDL-C level group. Factors with P < 0.1 in the univariable linear regression analyses were included in the multivariable linear stepwise regression.

RESULTS

A total of 2820 eligible T2DM patients were included and identified as the normal LDL-C level group (n = 973) and the abnormal LDL-C level group (n = 1847). Compared with the normal LDL-C level group, both on a per-patient basis and per-segment basis, patients with abnormal LDL-C level showed more calcified plaques, partially calcified plaques, low attenuation plaques, positive remodellings, and spotty calcifications. Multivessel obstructive disease (MVD), nonobstructive stenosis (NOS), obstructive stenosis (OS), plaque involvement degree (PID), segment stenosis score (SSS), and segment involvement scores (SIS) were likely higher in the abnormal LDL-C level group than that in the normal LDL-C level group (P < 0.001). In multivariable linear stepwise regression, the abnormal LDL-C level was validated as an independent positive correlation with high-risk coronary plaques and the degree and extent of stenosis caused by plaques (low attenuation plaque: β = 0.116; positive remodelling: β = 0.138; spotty calcification: β = 0.091; NOS: β = 0.427; OS: β = 0.659: SIS: β = 1.114; SSS: β = 2.987; PID: β = 2.716, all P value < 0.001).

CONCLUSIONS

Abnormal LDL-C levels aggravate atherosclerotic cardiovascular disease (ASCVD) in patients with T2DM. Clinical attention deserves to be caught by the tailored identification of cardiovascular risk categories in T2DM individuals and the achievement of the corresponding LDL-C treatment goal.

Current views on selenoprotein S in the pathophysiological processes of diabetes-induced atherosclerosis: potential therapeutics and underlying biomarkers

Atherosclerotic cardiovascular disease (ASCVD) consistently ranks as the primary mortality factor among diabetic people. A thorough comprehension of the pathophysiological routes and processes activated by atherosclerosis (AS) caused by diabetes mellitus (DM), together with the recognition of new contributing factors, could lead to the discovery of crucial biomarkers and the development of innovative drugs against atherosclerosis. Selenoprotein S (SELENOS) has been implicated in the pathology and progression of numerous conditions, including diabetes, dyslipidemia, obesity, and insulin resistance (IR)-all recognized contributors to endothelial dysfunction (ED), a precursor event to diabetes-induced AS. Hepatic-specific deletion of SELENOS accelerated the onset and progression of obesity, impaired glucose tolerance and insulin sensitivity, and increased hepatic triglycerides (TG) and diacylglycerol (DAG) accumulation; SELENOS expression in subcutaneous and omental adipose tissue was elevated in obese human subjects, and act as a positive regulator for adipogenesis in 3T3-L1 preadipocytes; knockdown of SELENOS in Min6 β-cells induced β-cell apoptosis and reduced cell proliferation. SELENOS also participates in the early stages of AS, notably by enhancing endothelial function, curbing the expression of adhesion molecules, and lessening leukocyte recruitment-actions that collectively reduce the formation of foam cells. Furthermore, SELENOS forestalls the apoptosis of vascular smooth muscle cells (VSMCs) and macrophages, mitigates vascular calcification, and alleviates inflammation in macrophages and CD4+ T cells. These actions help stifle the creation of unstable plaque characterized by thinner fibrous caps, larger necrotic cores, heightened inflammation, and more extensive vascular calcification-features seen in advanced atherosclerotic lesion development. Additionally, serum SELENOS could function as a potential biomarker, and SELENOS single nucleotide polymorphisms (SNPs) rs4965814, rs28628459, and rs9806366, might be effective gene markers for atherosclerosis-related diseases in diabetes. This review accentuates the pathophysiological processes of atherosclerosis in diabetes and amasses current evidence on SELENOS's potential therapeutic benefits or as predictive biomarkers in the various stages of diabetes-induced atherosclerosis.

Long-Term Clinical Impact of Patients with Multi-Vessel Non-Obstructive Coronary Artery Disease

BACKGROUND

Non-obstructive coronary artery disease (CAD) is a disease commonly diagnosed in patients undergoing coronary angiography. However, little is known regarding the long-term clinical impact of multi-vessel non-obstructive CAD. Therefore, the object of this study was to investigate the long-term clinical impact of multi-vessel non-obstructive CAD.

METHOD

A total of 2083 patients without revascularization history and obstructive CAD were enrolled between January 2010 and December 2015. They were classified into four groups according to number of vessels involved in non-obstructive CAD (25% ≤ luminal stenosis < 70%): zero, one, two, or three diseased vessels (DVs). We monitored the patients for 5 years. The primary outcome was major cardiovascular and cerebrovascular events (MACCEs), defined as a composite of cardiac death, stroke, and myocardial infarction (MI).

RESULT

The occurrence of MACCEs increased as the number of non-obstructive DVs increased, and was especially high in patients with three DVs. After adjustment, patients with three DVs still showed significantly poorer clinical outcomes of MACCEs, stroke, and MI compared those with zero DVs.

CONCLUSION

Multi-vessel non-obstructive CAD, especially in patients with non-obstructive three DVs, is strongly associated with poor long-term clinical outcomes. This finding suggests that more intensive treatment may be required in this subset of patients.

Type 2 diabetes mellitus and coronary artery stenosis: a risk pattern association study

Aim: Cardiovascular diseases (CVD) are the leading cause of death globally. In the condition of type 2 diabetes mellitus (T2DM), the prevalence of CVD increase parallel with the rise of metabolic complication and higher incidence of coronary artery stenosis. The aim of this study was to compare the level of percent stenosis in coronary arteries in patients with coronary artery disease (CAD) with and without T2DM, and to measure the severity of CVD using Gensini score (GS) through angiographic data. Methods: The current study was conducted in tertiary care specialized hospital in Delhi, India. The level of percent stenosis in coronary arteries was compared in patients with CAD with and without T2DM. The patients were divided into two groups: group I included 100 patients with T2DM, and group II included 100 non-diabetic CAD patients who underwent coronary angiography by Judkin’s technique. The severity of CVD was measured by GS through angiographic data. The serum levels of glycated haemoglobin (HbA1c) ≥ 6.5% were considered diabetic. Results: Significant difference was observed in serum HbA1c, and random blood sugar levels between group I and group II were also observed (P ≤ 0.001). Serum HbA1c shows a significant positive association with GS (r = 0.36, P = 0.007). Conclusions: The study shows a significant level of stenosis in coronary arteries of CAD diabetic patients. However, further prospective analysis of a larger population size will be needed to strengthen the findings and the significant association.

Predictive Value of Noninvasive Peripheral Atherosclerosis Measurement for Coronary Artery Disease in Patients with Long T2DM Duration

Objective

This study aimed to compare the predictive value of carotid or femoral artery ultrasound for coronary artery disease (CAD) in type 2 Diabetes mellitus (T2DM) patients free from known CAD, and to assess the relationship with the severity of coronary artery stenosis.

Methods

Cross-sectional study in adults with a T2DM duration of at least 5 years and without established CAD. Carotid plaque score (CPS) and Gensini score were used to measure the severity of carotid and coronary artery stenosis, respectively, and patients were divided into no or mild group, moderate group, and severe group according to the tertile of the score. Univariate and multivariate logistic regression analysis was used to explore the possible risk factors for CAD. Receiver operating characteristic (ROC) curves were created to determine the most accurate assessment for detecting significant CAD (≥50% stenosis).

Results

245 patients (137 male) aged 68.21±9.5 years (range: 36-95 years), with T2DM duration 12.04± 6.17 years (range: 5-34 years), and without CVD were included. CAD was diagnosed in 165 patients (67.3%). Multiple regression analysis showed that CPS, femoral plaque, and smoking were independently and positively correlated with CAD. CPS yielded the highest area under the curve for detecting significant coronary disease (AUC=0.7323). In contrast, the area under the curve of femoral artery plaque and carotid intima-media thickness was lower than 0.7, which was at a lower prediction level.

Conclusion

In patients with long T2DM duration, CPS has a higher ability to predict the occurrence and severity of CAD. However, femoral artery plaque has special value in predicting moderate to severe coronary artery disease in patients with long-term T2DM.

Remnant cholesterol for the detection of glucose metabolic states in patients with coronary heart disease angina pectoris

BACKGROUND

This study aimed to evaluate the relationship between remnant cholesterol (RC) and glucose metabolic states in coronary heart disease (CHD) patients with angina pectoris.

METHODS

This study collected data from 11,557 CHD patients with angina pectoris aged 35-75 years in Tianjin, China. Participants were divided into normal glucose regulation (NGR), prediabetes (Pre-DM) and diabetes mellitus (DM) groups according to glucose metabolic states. Linear regression analysis was used to explore the relationship between glucose metabolism [fasting blood glucose (FBG) and glycated hemoglobin (HbA1c)] and RC levels. Logistic regression was performed to analyze the relationship between RC levels and glucose metabolic states.

RESULTS

Among all participants, 5883 (50.9%) had a DM state and 4034 (34.9%) had a Pre-DM state. FBG levels and HbA1c levels were positively related with RC in all patients (P < 0.001). NGR was used as a reference, multi-adjusted model showing that RC level was significantly associated with Pre-DM [Odds ratio (OR): 1.37; 95% confidence interval (CI) 1.19-1.56; P < 0.001] and DM state (OR:1.47; 95% CI 1.29-1.67; P < 0.001). When considering RC as categorical variables (tertiles), using T1 as a reference, T3 had the strongest relationship between RC levels and Pre-DM and DM state in univariate model and multivariate model. In the stratified analyses, the association between RC levels and pre-DM and DM in women was higher than that in men, and the elderly patients was higher than in the middle-aged patients.

CONCLUSION

The study demonstrated a significant association between RC levels and pre-DM and DM state among CHD patients with angina pectoris, and the relationship was stronger in women and elderly patients.