Usefulness of Highly Sensitive Troponin as a Predictor of Short-Term Outcome in Patients With Diabetes Mellitus and Stable Coronary Artery Disease (from the ARTEMIS Study)

Precision prognostics for cardiovascular disease in Type 2 diabetes: a systematic review and meta-analysis

BACKGROUND

Precision medicine has the potential to improve cardiovascular disease (CVD) risk prediction in individuals with Type 2 diabetes (T2D).

METHODS

We conducted a systematic review and meta-analysis of longitudinal studies to identify potentially novel prognostic factors that may improve CVD risk prediction in T2D. Out of 9380 studies identified, 416 studies met inclusion criteria. Outcomes were reported for 321 biomarker studies, 48 genetic marker studies, and 47 risk score/model studies.

RESULTS

Out of all evaluated biomarkers, only 13 showed improvement in prediction performance. Results of pooled meta-analyses, non-pooled analyses, and assessments of improvement in prediction performance and risk of bias, yielded the highest predictive utility for N-terminal pro b-type natriuretic peptide (NT-proBNP) (high-evidence), troponin-T (TnT) (moderate-evidence), triglyceride-glucose (TyG) index (moderate-evidence), Genetic Risk Score for Coronary Heart Disease (GRS-CHD) (moderate-evidence); moderate predictive utility for coronary computed tomography angiography (low-evidence), single-photon emission computed tomography (low-evidence), pulse wave velocity (moderate-evidence); and low predictive utility for C-reactive protein (moderate-evidence), coronary artery calcium score (low-evidence), galectin-3 (low-evidence), troponin-I (low-evidence), carotid plaque (low-evidence), and growth differentiation factor-15 (low-evidence). Risk scores showed modest discrimination, with lower performance in populations different from the original development cohort.

CONCLUSIONS

Despite high interest in this topic, very few studies conducted rigorous analyses to demonstrate incremental predictive utility beyond established CVD risk factors for T2D. The most promising markers identified were NT-proBNP, TnT, TyG and GRS-CHD, with the highest strength of evidence for NT-proBNP. Further research is needed to determine their clinical utility in risk stratification and management of CVD in T2D.

Precision Prognostics for Cardiovascular Disease in Type 2 Diabetes: A Systematic Review and Meta-analysis

Background Precision medicine has the potential to improve cardiovascular disease (CVD) risk prediction in individuals with type 2 diabetes (T2D). Methods We conducted a systematic review and meta-analysis of longitudinal studies to identify potentially novel prognostic factors that may improve CVD risk prediction in T2D. Out of 9380 studies identified, 416 studies met inclusion criteria. Outcomes were reported for 321 biomarker studies, 48 genetic marker studies, and 47 risk score/model studies. Results Out of all evaluated biomarkers, only 13 showed improvement in prediction performance. Results of pooled meta-analyses, non-pooled analyses, and assessments of improvement in prediction performance and risk of bias, yielded the highest predictive utility for N-terminal pro b-type natriuretic peptide (NT-proBNP) (high-evidence), troponin-T (TnT) (moderate-evidence), triglyceride-glucose (TyG) index (moderate-evidence), Genetic Risk Score for Coronary Heart Disease (GRS-CHD) (moderate-evidence); moderate predictive utility for coronary computed tomography angiography (low-evidence), single-photon emission computed tomography (low-evidence), pulse wave velocity (moderate-evidence); and low predictive utility for C-reactive protein (moderate-evidence), coronary artery calcium score (low-evidence), galectin-3 (low-evidence), troponin-I (low-evidence), carotid plaque (low-evidence), and growth differentiation factor-15 (low-evidence). Risk scores showed modest discrimination, with lower performance in populations different from the original development cohort. Conclusions Despite high interest in this topic, very few studies conducted rigorous analyses to demonstrate incremental predictive utility beyond established CVD risk factors for T2D. The most promising markers identified were NT-proBNP, TnT, TyG and GRS-CHD, with the highest strength of evidence for NT-proBNP. Further research is needed to determine their clinical utility in risk stratification and management of CVD in T2D.

Endothelin-1 is associated with mortality that can be attenuated with high intensity statin therapy in patients with stable coronary artery disease

BACKGROUND

All coronary artery disease (CAD) patients do not benefit equally of secondary prevention. Individualized intensity of drug therapy is currently implemented in guidelines for CAD and diabetes. Novel biomarkers are needed to identify patient subgroups potentially benefitting from individual therapy. This study aimed to investigate endothelin-1 (ET-1) as a biomarker for increased risk of adverse events and to evaluate if medication could alleviate the risks in patients with high ET-1.

METHODS

A prospective observational cohort study ARTEMIS included 1946 patients with angiographically documented CAD. Blood samples and baseline data were collected at enrollment and the patients were followed for 11 years. Multivariable Cox regression was used to assess the association between circulating ET-1 level and all-cause mortality, cardiovascular (CV) death, non-CV death and sudden cardiac death (SCD).

RESULTS

Here we show an association of circulating ET-1 level with higher risk for all-cause mortality (HR: 2.06; 95% CI 1.5-2.83), CV death, non-CV death and SCD in patients with CAD. Importantly, high intensity statin therapy reduces the risk for all-cause mortality (adjusted HR: 0.05; 95% CI 0.01-0.38) and CV death (adjusted HR: 0.06; 95% CI 0.01-0.44) in patients with high ET-1, but not in patients with low ET-1. High intensity statin therapy does not associate with reduction of risk for non-CV death or SCD.

CONCLUSIONS

Our data suggests a prognostic value for high circulating ET-1 in patients with stable CAD. High intensity statin therapy associates with reduction of risk for all-cause mortality and CV death in CAD patients with high ET-1.

Diabetes Mellitus in Patients Undergoing Mitral Transcatheter Edge-to-Edge Repair-A Decade Experience in 1000+ Patients

BACKGROUND

Diabetes mellitus worsens outcomes in patients suffering from heart disease undergoing cardiac procedures.

OBJECTIVES

To investigate the impact of diabetes in patients undergoing mitral transcatheter edge-to-edge repair (M-TEER).

METHODS

1118 patients treated with M-TEER for functional (FMR) and degenerative (DMR) mitral regurgitation (MR) between 2010 and 2021 were analyzed using the combined endpoint of death/rehospitalization for heart failure (HFH).

RESULTS

Among diabetics (N = 306; 27.4%), comorbidities such as coronary artery disease (75.2% vs. 62.7%; p < 0.001) and progressed (stage III/IV) chronic kidney disease (79.5% vs. 72.6%; p = 0.018) were more frequent. The rate of FMR was higher in diabetics (71.9% vs. 64.5%; p < 0.001). The combined endpoint occurred more frequently in diabetics (40.2% vs. 35.6%; log-rank = 0.035). While no difference was observed in FMR patients (36.8% vs. 37.6%; log-rank p = 0.710), rates of the combined endpoint differed significantly between diabetics and non-diabetics in DMR patients (48.8% vs. 31.9%; log-rank p = 0.001) only. However, diabetes did neither predict the combined endpoint in the overall (OR: 0.97; 95% CI 0.65-1.45; p = 0.890) nor in the DMR cohort (OR: 0.73; 95% CI 0.35-1.51; p = 0.389). Among diabetics treated with M-TEER, troponin (OR: 2.32; 95% CI 1.3-3.7; p = 0.002) and estimated glomerular filtration rate (OR: 0.52; 95% CI 0.3-0.88; p = 0.018) independently predicted the combined endpoint.

CONCLUSIONS

Diabetes is associated with adverse outcomes after M-TEER, particularly in DMR patients. However, diabetes does not predict the combined endpoint. In diabetics undergoing M-TEER, biochemical markers associated with organ function and damage independently predict the combined endpoint of death and rehospitalization.

Use of Troponin as a predictor for cardiovascular diseases in patients with type 2 Diabetes Mellitus

People with type 2 diabetes mellitus (T2DM) have two- to four-fold increased cardiovascular mortality in comparison to the general population. With the identification of new therapeutic targets and hypoglycemic drugs for T2DM, the need for a better stratification of CVD risk has emerged to select patients who may need intensive or specific treatment. At present, risk stratification is based on clinical, demographic, and biochemical factors. High sensitivity cardiac troponin (hs-cTn) increases after several ischemic and non-ischemic insults and it is considered a marker of myocardial injury. This review summarizes the main findings about hs-cTn utilization for risk stratification in people with T2DM and no clinical CVD. Several large observational studies have documented the association between hs-cTn and adverse cardiovascular outcomes in both the general population and in patients with T2DM. Lifestyle interventions, and particularly promotion of physical activity and adoption of healthy nutritional habits, have been associated to a significant benefit on hs-cTn release in the general population. Randomized controlled trials suggested that hypoglycemic, anti-hypertensive and lipid-lowering therapy may influence the degree of T2DM-induced cardiac injury. Besides these promising findings, the efficacy of an hs-cTn-based approach for CVD prevention in T2DM patients still requires more investigations.

Prediabetes and Risk for Cardiac Death Among Patients With Coronary Artery Disease: The ARTEMIS Study

OBJECTIVE

To compare cardiac mortality in patients with CAD and prediabetes with that in CAD patients with normal glycemic status and type 2 diabetes.

RESEARCH DESIGN AND METHODS

The Innovation to Reduce Cardiovascular Complications of Diabetes at the Intersection (ARTEMIS) study included patients with CAD after revascularization (79%), optimal medical therapy, or both. Patients had type 2 diabetes (n = 834), impaired glucose tolerance (IGT; n = 314), impaired fasting glucose (IFG; n = 103), or normal glycemic status (n = 697) as defined on the basis of the results of an oral glucose tolerance test. The primary end point was cardiac death. Major adverse cardiac event (MACE: cardiac death, heart failure, or acute coronary syndrome) and all-cause mortality were secondary end points.

RESULTS

During a mean ± SD follow-up of 6.3 ± 1.6 years, 101 cardiac deaths, 385 MACEs, and 208 deaths occurred. Patients with IGT tended to have 49% lower adjusted risk for cardiac death (P = 0.069), 32% lower adjusted risk for all-cause mortality (P = 0.076), and 36% lower adjusted risk for MACE (P = 0.011) than patients with type 2 diabetes. The patients with IFG had 82% lower adjusted risk for all-cause mortality (P = 0.015) than the patients with type 2 diabetes, whereas risks for cardiac death and MACE did not differ significantly between the two groups. The adjusted risks for cardiac death, MACE, and all-cause mortality among patients with IGT and IFG did not significantly differ from those risks among patients with normal glycemic status.

CONCLUSIONS

Cardiac mortality or incidence of MACE in patients with CAD with prediabetes (i.e., IGT or IFG after revascularization, optimal medical therapy, or both) does not differ from those values in patients with normal glycemic status.

Baseline plasma fibrinogen is associated with haemoglobin A1c and 2-year major adverse cardiovascular events following percutaneous coronary intervention in patients with acute coronary syndrome: a single-centre, prospective cohort study

BACKGROUND

Despite revascularisation, a large proportion of acute coronary syndrome (ACS) patients continue to experience major adverse cardiovascular events (MACEs), which are worsened by diabetes mellitus (DM). Fibrinogen (FIB) is a risk factor for MACEs in coronary artery disease and often elevated in DM. However, the relationships between FIB, glucose metabolism (haemoglobin A1c [HbA1c] and fasting blood glucose [FBG]) and MACEs following percutaneous coronary intervention (PCI) in DM, non-DM or whole patients with ACS remains unknown.

METHODS

A total of 411 ACS patients undergoing PCI were enrolled in this study. We compared baseline FIB levels between DM (n = 103) and non-DM (n = 308) patients and divided participants into three groups according to FIB level, i.e. FIB-L, FIB-M and FIB-H, to compare baseline characteristics and MACEs. Linear regression analysis of the relationship between glucose metabolism and FIB, Cox regression, survival and landmark analyses of MACEs were also performed over a median of 27.55 months of follow-up.

RESULTS

Patients with DM had higher FIB levels than non-DM patients (3.56 ± 0.99 mg/dL vs. 3.34 ± 0.80 mg/dL, P < 0.05). HbA1c and FBG were significantly positively correlated with FIB in whole and DM patients but not in non-DM patients (all P < 0.05). Compared with the FIB-L group, the FIB-M (hazard ratio [HR] 1.797, 95% CI 1.117-2.892, P = 0.016) and FIB-H (HR 1.664, 95% CI 1.002-2.763, P = 0.049) groups were associated with higher MACEs in whole; the FIB-M (HR 7.783, 95% CI 1.012-59.854, P = 0.049) was associated with higher MACEs in DM patients. FIB was not associated with MACEs in non-DM patients. During landmark analysis, FIB showed better predictive value for MACEs after PCI in the first 30 months of follow up than in the subsequent period.

CONCLUSION

In this study from China, FIB was positively associated with glucose metabolism (HbA1c and FBG) in whole and DM populations with ACS. Moreover, elevated baseline FIB levels may be an important and independent predictor of MACEs following PCI, especially amongst those with DM. However, as the follow-up period increased, the baseline FIB levels lost their ability to predict MACEs.

Conflicting vascular and metabolic impact of the IL-33/sST2 axis

Interleukin 33 (IL-33), which is expressed by several immune cell types, endothelial and epithelial cells, and fibroblasts, is a cytokine of the IL-1 family that acts both intra- and extracellularly to either enhance or resolve the inflammatory response. Intracellular IL-33 acts in the nucleus as a regulator of transcription. Once released from cells by mechanical stress, inflammatory cytokines, or necrosis, extracellular IL-33 is proteolytically processed to act in an autocrine/paracrine manner as an 'alarmin' on neighbouring or various immune cells expressing the ST2 receptor. Thus, IL-33 may serve an important role in tissue preservation and repair in response to injury; however, the actions of IL-33 are dampened by a soluble form of ST2 (sST2) that acts as a decoy receptor and is produced by endothelial and certain immune cells. Accumulating evidence supports the conclusion that sST2 is a biomarker of vascular health with diagnostic and/or prognostic value in various cardiovascular diseases, including coronary artery disease, myocardial infarction, atherosclerosis, giant-cell arteritis, acute aortic dissection, and ischaemic stroke, as well as obesity and diabetes. Although sST2 levels are positively associated with cardiovascular disease severity, the assumption that IL-33 is always beneficial is naïve. It is increasingly appreciated that the pathophysiological importance of IL-33 is highly dependent on cellular and temporal expression. Although IL-33 is atheroprotective and may prevent obesity and type 2 diabetes by regulating lipid metabolism, IL-33 appears to drive endothelial inflammation. Here, we review the current knowledge of the IL-33/ST2/sST2 signalling network and discuss its pathophysiological and translational implications in cardiovascular diseases.

Biomarkers as predictors of sudden cardiac death in coronary artery disease patients with preserved left ventricular function (ARTEMIS study)

Aims

Biomarkers have shown promising results in risk assessment of cardiovascular events. Their role in predicting the risk of sudden cardiac death (SCD) is not well established. We tested the performance of several biomarkers in risk assessment for SCD in patients with coronary artery disease (CAD) and preserved left ventricular function.

Methods and results

The study population consisted of 1,946 CAD patients (68% male; mean age 66.9±8.6 yrs; type 2 diabetes (T2D) 43%) enrolled in the ARTEMIS study. The study subjects underwent examinations with echocardiography and measurement of several biomarkers. The primary endpoint of the study was SCD. During the mean follow up of 76±20 months 50 patients experienced SCD. Elevated high sensitive CRP (hs-CRP, p = 0.001), soluble ST2 (sST2, p<0.001), B-type natriuretic peptide (BNP, p<0.001), and highly sensitive TroponinT (hs-TnT, p<0.001) predicted the occurrence of SCD in univariate analysis. Using the optimal cutoff points, elevated sST2 (≥27.45ng/mL; hazard ratio [HR] 2.7; 95%CI 1.4–5.1, p = 0.003) and hs-TnT (≥15 ng/mL; HR 2.9; 95% CI 1.5–5.6, p = 0.002) were the strongest predictors of SCD followed by hs-CRP (HR 2.4; 95% CI 1.3–4.4, p = 0.004) and BNP (HR 1.9; 95% CI 1.0–3.7, p = 0.046) in adjusted analysis. Combination of elevated hs-TnT and sST2 resulted in adjusted HR of 6.4 (95% CI 2.6–15.5, p<0.001).

Conclusion

Elevated sST2 and hs-TnT predict the occurrence of SCD among patients with CAD and preserved left ventricular function. The association between sST2, hs-TnT and SCD may be explained by an ongoing myocardial apoptosis followed by fibrosis leading to vulnerability to malignant arrhythmias.

Cardiovascular biomarkers in clinical studies of type 2 diabetes

When planning cardiovascular (CV) studies in type 2 diabetes (T2D), selection of CV biomarkers is a complex issue. Because the pathophysiology of CV disease (CVD) in T2D is multifactorial, ideally, the selected CV biomarkers should cover all aspects of the known pathophysiology of the disease. This will allow the researcher to distinguish between effects on different aspects of the pathophysiology. To this end, we discuss a host of biomarkers grouped according to their role in the pathogenesis of CVD, namely: (1) cardiac damage biomarkers; (2) inflammatory biomarkers; and (3) novel biomarkers (oxidative stress and endothelial dysfunction biomarkers). Within each category we present the best currently validated biomarkers, with special focus on the population of interest (people with T2D). For each individual biomarker, we discuss the physiological role, validation in the general population and in people with T2D, analytical methodology, modifying factors, effects of glucose-lowering drugs, and interpretation. This approach will provide clinical researchers with the information necessary for planning, conducting and interpreting results from clinical trials. Furthermore, a systematic approach to selection of CV biomarkers in T2D research will improve the quality of future research.

Prognostic Value of Cardiac Troponin T and Sex in Patients Undergoing Elective Percutaneous Coronary Intervention

BACKGROUND

In patients with stable coronary artery disease undergoing elective percutaneous coronary intervention, the prognostic value of high-sensitivity cardiac troponin T (hs-cTnT) and the influence of sex remain poorly defined.

METHODS AND RESULTS

Consecutive patients with stable coronary artery disease who underwent elective percutaneous coronary intervention were included. Primary endpoint was all-cause mortality. Unadjusted hazard ratio (HR) in overall and sex-specific population and multivariable adjusted HR were calculated by using Cox proportional hazard models. In a total of 5626 patients, elevated hs-cTnT levels, more than the sex-specific 99th percentile upper reference limit of normal (URL), were observed in 2221 patients (39%) at baseline. During follow-up (median, 14.5 months; 25th-75th percentiles, 6.4-27.2 months), 265 patients died. Mortality was higher in patients with the sex-specific 99th percentile URL compared to those with normal hs-cTnT (17.3% vs 3.4%; HR=6.10; 95% CI, 4.58-8.14; P<0.001). hs-cTnT was an independent predictor of mortality in multivariable adjusted models. The C-statistic was significantly increased by adding hs-cTnT to the basic prediction model for mortality (0.793-0.815; P<0.001). There was a significant interaction between hs-cTnT and sex on mortality. Differences in all-cause mortality between patients with more than the sex-specific 99th percentile URL and those with normal hs-cTnT were numerically larger in male than female patients (male, HR=6.45; 95% CI, 4.68-8.87, P<0.001; female, HR=4.29, 95% CI, 2.36-9.03; P<0.001).

CONCLUSIONS

In patients with stable coronary artery disease undergoing elective percutaneous coronary intervention, preprocedural hs-cTnT was a strong predictor of mortality in both men and women.

Impact of diabetes on the predictive value of heart failure biomarkers

Background

Patients with diabetes mellitus (DM) have an increased risk of developing heart failure (HF). Further, DM is associated with poor prognosis in patients with HF. Our aim was to determine whether DM has any impact on the predictive value of a multi-biomarker panel in patients with HF.

Methods

We included 1069 consecutive ambulatory HF patients in the study: age 66.2 ± 12.8 years, 33.5 ± 13.3 left ventricular ejection fraction, 36% diabetic patients. We measured serum concentrations of N-terminal pro-brain natriuretic peptide (NT-proBNP), high-sensitivity troponin T (hs-TnT), ST2, galectin-3, high-sensitivity C reactive protein (hs-CRP), cystatin-C, soluble transferrin receptor (sTfR), and neprilysin and followed patients for 4.9 ± 2.8 years. Primary endpoints were all-cause and cardiovascular death.

Results

During follow-up, 534 patients died; 283 died of cardiovascular causes. Diabetic subjects had higher mortality (57.7 vs. 45.6%, p < 0.001). NTproBNP (p = 0.07), hs-TnT (p < 0.001), galectin-3 (p < 0.001), and cystatin-C (p = 0.001) concentrations were higher in diabetic patients, whereas sTfR levels were lower (p = 0.005). There were no interactions between DM and NTproBNP, hs-TnT, galectin-3, hs-CRP, cystatin-C, sTfR, and neprilysin relative to risk prediction for all-cause or cardiovascular death. By contrast, ST2 significantly interacted with DM for all-cause (p = 0.02) and cardiovascular (p = 0.03) death. In diabetic patients, HRs for ST2 were 1.27 (95% CI 1.16–1.40, p < 0.001) and 1.23 (95% CI 1.09–1.39, p = 0.001) for all-cause and cardiovascular death, respectively. In nondiabetic patients, HRs for ST2 were 1.53 (95% CI 1.35–1.73, p < 0.001) and 1.64 (95% CI 1.31–2.05, p < 0.001) for all-cause and cardiovascular death, respectively. The multivariable Cox regression analysis showed that hs-TnT and ST2 were the only markers that were independently associated with both all-cause and cardiovascular mortality in patients with HF and diabetes. Moreover, in these patients, the combination of these two markers significantly increased discrimination as assessed by the area under the curve.

Conclusions

Biomarkers used in the general population to predict the clinical course of heart failure are also useful in patients with diabetes. In these patients, among all the biomarkers analysed only hs-TnT and ST2 were independently associated with both all-cause and cardiovascular mortality.

Long-term prognostic significance of pentraxin-3 in patients with acute myocardial infarction: 5-year prospective cohort study

Objective:

A predictive role of serum Pentraxin 3 (PTX3) for short-term adverse cardiovascular events including mortality in acute myocardial infarction (AMI) was reported in recent studies. The aim of the study was to investigate long-term prognostic significance of serum PTX3 in an AMI with 5-year follow-up period in this study.

Methods:

In this prospective study, 140 patients, who were admitted to the emergency department between January 2011 and December 2011 with acute chest pain and/or dyspnea and diagnosed with AMI and 60 healthy controls were included. PTX3 levels were measured at admission by using an ELISA method. The study group was divided into tertiles on the basis of admission PTX3 values: the high-PTX3 group (≥4.27 ng/mL), the middle-PTX3 groups (4.27–1.63 ng/mL), and the low-PTX3 group (≤1.63 ng/mL).

Results:

PTX3 level was significantly more greatly increased in the AMI group than in the controls (2.27±0.81 vs. 0.86±0.50 ng/mL, p<0.001). PTX3 level was found to be significantly positively correlated with TIMI score (r=0.368, p=0.037), high sensitive C-reactive protein (hsCRP) (r=0.452, p=0.024), pro-BNP (r=0.386, p=0.029), troponin I (r=0.417, p=<0.001), and GRACE score (r=0.355, p=0.045), and negatively correlated with HDL cholesterol (r=–0.203, p=0.016) and LVEF (r=–0.345, p=0.028). In multivariate analysis, PTX3 (OR=1.12, 95% CI 1.04–1.20; p=0.001) was a significant independent predictor of long-term cardiovascular mortality, after adjusting for other risk factors.

Conclusion:

PTX3 is a novel biomarker that may help to identify high risk individuals with AMI, who are potentially at risk of early major adverse cardiovascular events including mortality in the long-term period.