Predictor Of Major Adverse Cardiovascular Events In Patients Research Articles

Independent predictors of MACE in patients with cancer

Abstract Funding Acknowledgements None. Background/Introduction Cardiovascular disease and cancer are the leading causes of death worldwide. Both disease entities share common risk factors. More importantly, the main cause of death after disease progression is cardiovascular disease in patients with cancer. Despite the recent advancements in the field of cardio-oncology, the main prognostic factors of major adverse cardiovascular events (MACE) remain elusive. Purpose To investigate prognostic factors of MACE in a single center cardio-oncology registry. Methods Consecutive patients referred to the cardio-oncology outpatient clinic of a tertiary center for cardiologic consultation were included. All patients were followed up clinically or by telephone. Data from national records were also used. Results In total, 115 patients were included in the analysis. Of them, 60 (52.2%) were female and the majority of study population suffered from breast cancer (27%). Thirteen patients (11.3%) had hematologic malignancies and the rest solid tumors. Chemotherapy was received by a total of 94 patients (81,7%). The mean follow -up duration was 446 days. During follow up, 32 MACEs (27.8%) occurred. Death from any cause occurred in 21 patients (including 2 cardiac deaths), hospitalization due to heart failure in 6, myocardial infarction in 2, pulmonary embolism in 3 and stroke in 1 patient. In multivariate logistic regression analysis, diabetes mellitus was an independent predictor of MACE, after adjustment for cardiovascular risk factors and body mass index (OR=3.37, 95% CI 1.14-9.99). In Kaplan Meier plots patients with diabetes mellitus showed higher incidence of MACE (log rank p=0.03). Conclusions In the present single center study, diabetes mellitus emerged as an independent predictor of MACE. This finding confirms the important and primary role of cardio-oncology units in the strict management of cardiovascular risk factors, leading to improved prognosis of this patient-population.Kaplan Meier Curve

Metabolic score for insulin resistance predicts major adverse cardiovascular event in premature coronary artery disease.

The Metabolic Score for Insulin Resistance (METS-IR) index serves as a simple surrogate marker for insulin resistance (IR) and is associated with the presence and severity of coronary artery disease (CAD). However, the prognostic significance of METS-IR in patients with premature CAD remains unclear. This study aims to investigate the prognostic value of METS-IR in premature CAD. This retrospective study included 582 patients diagnosed with premature CAD between December 2012 and July 2019. The median follow-up duration was 63 months (interquartile range, 44-81 months). The primary endpoint was Major Adverse Cardiovascular Events (MACE), defined as a composite of all-cause death, non-fatal myocardial infarction (MI), repeat coronary artery revascularization, and non-fatal stroke. Patients with MACE had significantly higher METS-IR levels than those without MACE (44.88±8.11 vs. 41.68±6.87, p<0.001). Kaplan-Meier survival curves based on METS-IR tertiles demonstrated a statistically significant difference (log-rank test, p<0.001). In the fully adjusted model, the Hazard Ratio (95% CI) for MACE was 1.41 (1.16-1.72) per SD increase in METS-IR, and the P for trend based on METS-IR tertiles was 0.001 for MACE. Time-dependent Receiver Operator Characteristic (ROC) analysis of METS-IR yielded an Area Under the Curve (AUC) of 0.74 at 2 years, 0.69 at 4 years, and 0.63 at 6 years. METS-IR serves as a reliable prognostic predictor of MACE in patients with premature CAD. Therefore, METS-IR may be considered a novel, cost-effective, and dependable indicator for risk stratification and early intervention in premature CAD.

Co-Existence of CYP2C19*1/*2 and ABCB1c.3435 CT Genotype has a Potential Impact on Clinical Outcome in CAD Patients Treated with Clopidogrel.

Clopidogrel, is a standard treatment in the prevention of major adverse cardiovascular events (MACE) in patients with coronary artery disease (CAD). Clopidogrel response is highly variable, mainly due to the presence of polymorphisms in the genes involved in drug metabolism. The aim of this study was to evaluate the association between the presence of the ABCB1 C3435T and CYP2C19*2 polymorphism and the clinical outcome in patients with CAD treated with clopidogrel. A total of 96 patients with CAD were included in the study. Genomic DNA from peripheral blood was extracted from all patients with standard phenol/chloroform protocol. The genotyping was performed by Real-Time PCR using TagMan assays. The frequency of the reduced-function allele, in both genes, was higher in patients with negative outcome (36.36% vs 21.15%). A negative clinical outcome and an increased risk for MACE was observed in patients with concomitant inheritance of the CYP2C19 *1/*2 and ABCB1 CT genotype vs patients with other genotypes (22.73% vs 9.62%; OR 3.455; 95% CI= [0.936-12.743], p=0.05722. A trend towards higher risk of MACE was also noted in carriers of the CYP2C19*1/*1 and ABCB1 CC/CT genotype. Our results support the data on the association of the CYP2C19 *2 alone, or in combination with the ABCB1 C polymorphism with the increased risk of MACE. The results also indicate that the presence of ABCB1 C343T polymorphism might be potentially considered as independent predictor of MACE in patients on clopidogrel. However, these results are preliminary and should be confirmed on a larger number of patients.

Effect of quantitative parameters of contrast-enhanced ultrasound on the long-term prognosis of patients with chronic coronary syndrome.

Ultrasound is one of the most commonly used examination methods in patients with coronary artery disease (CAD) and is valuable in evaluating patient prognosis. Although contrast-enhanced ultrasound (CEUS) can assess more in depth the vascular lesions of patients, there is still a lack of relevant research on the value of quantitative parameters of CEUS in predicting the long-term prognosis of patients with chronic coronary syndrome (CCS), thus, we designed this study. From January 2016 to December 2017, a total of 473 patients with CCS admitted to Yueyang People's Hospital were retrospectively enrolled. The patients were followed up for five years. According to whether the patients had major adverse cardiovascular events (MACE), patients were divided into the MACE group (n=113) and the control group (n=360). The CEUS was performed to detect the myocardial perfusion status. The value of quantitative parameters of CEUS in predicting the MACE in patients with CCS was analyzed using the receiver operating characteristic (ROC) curve. Peak intensity of contrast agent at platform stage, rising rate of microbubble reperfusion, and left ventricular ejection fraction (LVEF) were found to be valuable in predicting the risk of MACE in patients with CCS. Among them, the peak intensity of contrast agent at platform stage had the highest predictive value, and the area under the curve (AUC) was 0.860 [95% confidence interval (CI): 0.827-0.894, P<0.001]. Multivariate logistics regression analysis showed that the peak intensity of contrast agent at platform stage <4.54 dB and rising rate of microbubble reperfusion <0.275 s were independent risk factors of MACE in patients with CCS. The relative risks were 12.238 (95% CI: 6.632-22.585) and 5.724 (95% CI: 3.149-10.405), respectively. Quantitative parameters of CEUS can be used as predictors of MACE in patients with CCS, and strengthening the management of such high-risk patients may be beneficial to reduce the incidence of MACE.

Low HDL cholesterol and hyperglicemia are metabolic syndrome components associated with plaque progression in patients with chronic coronary syndrome: a PARADIGM study

Abstract Background The metabolic syndrome (MetS), a cluster of dyslipidemia, hyperglicemia and hypertension predicts future cardiovascular disease and death in general populations. Purpose We aimed to assess whether MetS and its components may impact on coronary plaque progression (PP), at serial coronary computed tomography angiography (CCTA), and major adverse cardiovascular events (MACE) in patients with chronic coronary syndrome (CCS). Methods A total of 1200 CCS patients (aged 60.9±9.3 years, 55.4% male) who underwent serial CCTA (≥2 years apart) and had available data on glucose/lipid metabolism and outcome, were analysed from the Progression of AtheRosclerotic PlAque DetermIned by Computed TomoGraphic Angiography IMaging (PARADIGM) registry. MetS and its components were categorized according to NCEPT ATPIII definition. Plaque volumes were measured in coronary segments (≥ 2 mm in diameter) and summed to provide total plaque volume (PV, mm3) and percent atheroma volume (PV/vessel volume*100) (PAV, %) per patient at baseline and follow-up. Rapid PP was defined as annualized PAV increase (∆PAV) ≥1.0%/year. MACE included non-fatal myocardial infarction, any cause death and unplanned coronary revascularization (&amp;gt;30 days after first CCTA). Results MetS was present in 366 patients (31%). The median interscan period was 3.2 years (IQR 1.9) and rapid PP occurred in 341 patients (28%). MetS was associated with a higher total PV (133±183 vs 97±163, P&amp;lt;0.001) and PAV (7.1±9.3 vs 5.4±8.0, P&amp;lt;0.001) at baseline and a higher annual change in both PV (18.5±23.4 vs 13.9±22.5, P&amp;lt; 0.001) and PAV (0.9±1.1 vs 0.7±1.0, P&amp;lt;0.001) (Figure 1A). At a multivariable logistic regression analysis, MetS independently predicted rapid PP (OR 1.50, 95%CI 1.11-2.02, p&amp;lt;0.01) after adjustment for other risk factors not included among its components (age, gender, smoking habits, family history, hypercholesterolemia, previous CAD), statin treatment and baseline PAV. Among MetS components, diabetes under treatment or fasting plasma glucose &amp;gt;100 mg/dL (OR 1.37, 95%CI 1.02-1.84, p&amp;lt;0.05) and low HDL cholesterol (&amp;lt;40 mg/dL in males and &amp;lt; 50 mg/dL in females) (OR 1.76, 95%CI 1.29-2.39, p&amp;lt;0.001) were independently associated with rapid PP. They had an additive effect on baseline PAV and annualized PAV increase (Figure 1B). The median follow-up duration was 8.23 years (IQR 3.61). MACE occurred in 201 patients (16.8%) (17 death, 11 non-fatal MI, 173 unplanned revascularizations). At multivariable Cox regression analysis, rapid PP was a strong and independent predictor of events (HR 1.72, 95% CI 1.29-2.28, P&amp;lt;0.001) after correction for all risk factors including MeS or its components and baseline PAV. Conclusions Independently of other risk factors and treatment MetS is associated with a higher coronary atherosclerotic burden and rapid PP which are in turn strong predictors of MACE in patients with CCS. Among MetS components hyperglycemia and low HDL-C are major determinants of rapid PP.Figure 1

Prognostic impact of monocyte-to-lymphocyte ratio in coronary heart disease: a systematic review and meta-analysis.

Inflammatory biomarkers are novel tools to assess the prognosis of different cardiovascular diseases. We evaluated the impact of the monocyte-to-lymphocyte ratio (MLR) on clinical outcomes in patients with coronary heart disease (CHD). We systematically screened English-language articles in PubMed, Scopus, and Web of Science to 31 August 2022. Relevant articles reporting the MLR and its association with clinical outcomes (major adverse cardiovascular events (MACE), coronary artery disease (CAD) severity, mortality, cardiac rupture, subclinical CAD, acute coronary syndrome (ACS) prediction, thin-cap fibroatheroma, no-reflow phenomenon, MLR-related differences in percutaneous coronary intervention, heart failure hospitalization, and depression) in patients with CHD were collected for further analysis. Nineteen articles were selected. The mean MLR was 0.34. A higher MLR was significantly associated with an increased risk of MACE among patients with CHD. The MLR was an independent predictor of MACE in patients with ACS. No significant association was found for CAD severity. A complementary analysis was not performed because of few studies focusing on the other predefined endpoints. The MLR is a simple and widely available tool to predict MACE in patients with CHD. This biomarker can be utilized in emergency settings to prioritize high-risk patients and optimize therapeutic interventions.

Entropy as a novel predictor of cardiovascular events in patients with left ventricular noncompaction

BackgroundThe risk stratification of left ventricular noncompaction (LVNC) remains ambiguous. LV entropy derived from late gadolinium enhancement (LGE) in cardiac magnetic resonance (CMR) as a novel measurement of myocardial heterogeneity may serve as the substrate of major adverse cardiovascular events (MACEs). This retrospective study aimed to investigate the value of LV entropy for predicting MACEs in LVNC patients. MethodsConsecutive patients who underwent CMR and met the diagnosis criteria of LVNC were included. All patients were follow-up for MACEs (cardiac death, ventricular arrhythmia requiring therapy or heart failure hospitalization), and their LV entropy derived from the distribution of pixel signal intensities in the LGE of the LV myocardium was analyzed. ResultsOne hundred and forty-three patients (mean age 40 years, 64.3% male) were followed for a median of 3.2 years, and forty-two (29.4%) experienced MACEs. Presenting of symptoms, left ventricular end-diastolic diameter (LVEDD), LV end-diastolic volume (LVEDV) index, LV end-systolic volume (LVESV) index, LV ejection fraction (LVEF), LGE extent, and LV entropy showed association with MACEs. LV entropy maintained independent association with MACEs (HR: 4.76, 95%CI 3.68–5.15, p < 0.001) in multivariable analysis. Entropy was also strong independent predictor of MACEs in patients with and without LGE (HR: 5.89, 95% CI4.18–7.73, p < 0.001; HR: 3.06, 95% CI:1.53–4.80, p = 0.013, respectively). ConclusionsLV entropy can predict MACEs in LVNC patients and provide incremental prognostic value on top of LVEF and LGE. Also, LV entropy may help risk stratification in LGE-negative LVNC patients.

Cystatin C as a Predictor of Major Adverse Cardiovascular Event in Patients with Acute Myocardial Infarction Without Cardiogenic Shock and Renal Impairment After Coronary Intervention.

To prove that cystatin C is a predictor of major adverse cardiovascular events (MACE) after percutaneous coronary intervention (PCI) in patients with acute myocardial infarction (AMI), either with ST-segment Elevation (AMI-EST) or without ST-segment elevation (AMI-NEST), without cardiogenic shock or renal impairment. This was an observational cohort study. Samples were obtained from AMI patients who underwent PCI between February 2022 and March 2022 at the Intensive Cardiovascular Care Unit. Cystatin C levels were measured before PCI. MACE were observed within 6 months. Comparisons between normally distributed continuous data were performed using the t-test; Mann-Whitney test was used for non-normally distributed data. Categorical data were compared using the chi-squared test. The cut-off point of cystatin C levels to predict MACE was analyzed using Receiver Operating Characteristics (ROC). The participants were 40 AMI patients, consisting of 32 patients (80%) with AMI-EST and eight patients (20%) diagnosed with AMI-NEST, who were evaluated for the occurrence of MACE within 6 months after PCI. Ten patients (25%) developed MACE during follow-up [(MACE (+)], and the rest were in the MACE (-) group. Cystatin C levels were significantly higher in the MACE (+) group (p=0.021). ROC analysis revealed a cystatin C level of 1.21 mg/dL; cystatin C > 1.21 is associated with MACE risk, showing a significant relationship with the odds ratio value reaching 26.00, with 95% CI (3.99-169.24). Cystatin C level is an independent predictor of MACE in patients with AMI without cardiogenic shock or renal impairment after PCI.

Prognostic value of the liver fibrosis marker fibrosis-5 index in patients with severe isolated tricuspid regurgitation: comparison with fibrosis-4 index.

The fibrosis-4 index (FIB4), a liver fibrosis maker, has been shown to be associated with the prognosis in patients with severe isolated tricuspid regurgitation (TR). Recent study showed that the fibrosis-5 index (FIB5), which was calculated by albumin, alkaline phosphatase, aspartate transaminase, alanine aminotransferase and platelet count, had better prognostic value than FIB4 in patients with heart failure. The aim of this study was to evaluate the usefulness of FIB5 index for predicting prognosis in patients with severe isolated TR and compare the prognostic value between the FIB4 and the FIB5 in those patients. This was a dual-center, retrospective study. 113 consecutive outpatients with severe isolated TR (mean age, 65.8years; 47.8% male) were analyzed. Major adverse cardiovascular events (MACEs) were defined as the composite of cardiovascular death, hospitalization for heart failure, myocardial infarction, and stroke. During a median follow-up of 3.0years, 41 MACEs occurred. Patients with MACEs had a lower the FIB5 than patients without MACEs. The multivariate Cox analysis revealed that the FIB5 < -4.30 was significantly associated with higher incidence of MACEs after adjusted by confounding factors. Receiver-operating characteristic curve analyses showed that prognostic values did not differ between the FIB5 and the FIB4 in whole patients and in patients aged ≥ 70years; while, in patients aged < 70years, the FIB5 had better prognostic value than the FIB4. The FIB5 may be a useful predictor of MACEs in patients with severe isolated TR.

Prognostic implications of stress hyperglycemia ratio in patients with myocardial infarction with nonobstructive coronary arteries

Background The role of stress hyperglycemia in acute myocardial infarction (AMI) has long been emphasized. Recently, the stress hyperglycemia ratio (SHR), a novel index reflecting an acute glycemia rise, has shown a good predictive value in AMI. However, its prognostic power in myocardial infarction with nonobstructive coronary arteries (MINOCA) remains unclear. Methods In a prospective cohort of 1179 patients with MINOCA, relationships between SHR levels and outcomes were analyzed. SHR was defined as acute-to-chronic glycemic ratio using admission blood glucose (ABG) and glycated hemoglobin. The primary endpoint was defined as major adverse cardiovascular events (MACE), including all-cause death, nonfatal MI, stroke, revascularization, and hospitalization for unstable angina or heart failure. Survival analyses and receiver-operating characteristic (ROC) curve analyses were performed. Results Over the median follow-up of 3.5 years, the incidence of MACE markedly increased with higher SHR tertile levels (8.1%, 14.0%, 20.5%; p < 0.001). At multivariable Cox analysis, elevated SHR was independently associated with an increased risk of MACE (HR 2.30, 95% CI: 1.21–4.38, p = 0.011). Patients with rising tertiles of SHR also had a significantly higher risk of MACE (tertile 1 as reference; tertile 2: HR 1.77, 95% CI: 1.14–2.73, p = 0.010; tertile 3: HR 2.64, 95% CI: 1.75–3.98, p < 0.001). SHR remained a robust predictor of MACE in patients with and without diabetes; whereas ABG was no longer associated with the MACE risk in diabetic patients. SHR showed an area under the curve of 0.63 for MACE prediction. By incorporating SHR to TIMI risk score, the combined model further improved the discrimination for MACE. Conclusions The SHR independently confers the cardiovascular risk after MINOCA, and may serve as a better predictor than glycemia at admission alone, particularly in those with diabetes. KEY MESSAGES Stress hyperglycemia ratio (SHR) is independently associated with the prognosis in a distinct population with myocardial infarction with nonobstructive coronary arteries (MINOCA). SHR is a better predictor of prognosis than admission glycemia alone, especially in diabetic patients with MINOCA. SHR may serve as a prognostic marker for risk stratification as well as a potential target for tailored glucose-lowering treatment in MINOCA.

Ten-year predictors of major adverse cardiovascular events in patients without angina.

Longstanding cardiovascular risk factors cause major adverse cardiovascular events (MACE). Major adverse cardiovascular events prediction may improve outcomes. The aim was to evaluate the ten-year predictors of MACE in patients without angina. Patients referred to Inkosi Albert Luthuli Hospital, Durban, South Africa, without typical angina from 2002 to 2008 were collected and followed up for MACE from 2009 to 2019. Survival time was calculated in months. Independent variables were tested with Cox proportional hazard models to predict MACE morbidity and MACE mortality. There were 525 patients; 401 (76.0%) were Indian, 167 (31.8%) had diabetes at baseline. At 10-year follow up 157/525 (29.9%) experienced MACE morbidity, of whom, 82/525 (15.6%) had MACE mortality. There were 368/525 (70.1%) patients censored, of whom 195/525 (37.1%) were lost to follow up. For MACE morbidity, mean and longest observation times were 102.2 and 201 months, respectively. Predictors for MACE morbidity were age (hazard ratio [HR] = 1.025), diabetes (HR = 1.436), Duke Risk category (HR = 1.562) and Ischaemic burden category (HR = 1.531). For MACE mortality, mean and longest observation times were 107.9 and 204 months, respectively. Predictors for MACE mortality were age (HR = 1.044), Duke Risk category (HR = 1.983), echocardiography risk category (HR = 2.537) and Ischaemic burden category (HR = 1.780). Among patients without typical angina, early ischaemia on noninvasive tests indicated microvascular disease and hyperglycaemia, predicting long-term MACE morbidity and MACE mortality.Contribution:Diabetes was a predictor for MACE morbidity but not for MACE mortality; patients lost to follow-up were possibly diabetic patients with MACE mortality at district hospitals. Early screening for ischaemia and hyperglycaemia control may improve outcomes.

The Prognostic Value of Cardiac Biomarkers in Patients with Acute Myocardial Infarction during and after Hospitalization

Objective: Myocardial infarction (MI) carries a strong risk of death and the development of major adverse cardiovascular events (MACE). A number of biomarkers have been proposed for risk stratification among patients with MI. The aim of this study was to determine whether elevated galectin-3 and midregional-pro atrial natriuretic peptide (MR-proANP) levels can be used as predictors of MACE in patients with acute myocardial infarction (AMI). Methods: Plasma levels of galectin-3 and MR-proANP were collected from 96 patients following their first AMI hospitalised in our clinic over the course of a year. Samples were taken on admission, and on the first and fifth day of hospitalization. During hospitalization, all patients were followed up for the occurrence of early major adverse cardiac events (MACE), defined as sudden cardiac arrest, new onset atrial fibrillation and need to use pressor amines. All patients were also followed up twelve months after AMI for the occurrence of late MACE defined as cardiac death, reinfarction and need for unscheduled PCI. Results: Patients who experienced early MACE had significantly higher galectin-3 and MR-proANP levels assessed on admission (p = 0.007, p = 0.003). ROC curve analysis found also galectin-3 concentration assessed on admission to be a strong predictor of late MACE (AUC = 0.75, p = 0.0061). MRproANP does not appear to have any value in predicting late MACE. Conclusions: A high concentration of galectin-3 and MR-proANP observed on admission in patients with acute myocardial infarction has significant prognostic value: it may identify patients at high risk of early adverse cardiac events after AMI. In contrast to MR-proANP, a high concentration of galectin-3 observed on admission may also identify patients at high risk of late MACE.

Triglyceride-glucose index in the prediction of adverse cardiovascular events in patients with premature coronary artery disease: a retrospective cohort study

BackgroundPremature coronary artery disease (PCAD) has become more common in recent years and is often associated with poor outcomes. Triglyceride-glucose (TyG) index is a simple and reliable surrogate for insulin resistance (IR) and is an independent predictor of cardiovascular prognosis. However, the prognostic value of the TyG index in patients with PCAD remains uncertain. Thus, this study aimed to investigate the prognostic value and predictive performance of the TyG index in patients with PCAD.MethodsA total of 526 young subjects (male < 45 years, female < 55 years) with angiographically proven CAD from January 2013 to December 2018 were included consecutively in this study. Their clinical and laboratory parameters were collected, and the TyG index was calculated as mathrm{Ln}[mathrm{fasting triglyceride }(mathrm{TG}) (mathrm{mg}/mathrm{dL})times mathrm{fasting plasma glucose }(mathrm{FPG}) (mathrm{mg}/mathrm{dL})/2]. The follow-up time after discharge was 40–112 months (median, 68 months; interquartile range, 49‒83 months). The primary endpoint was the occurrence of the major adverse cardiovascular events (MACE), defined as the composite of all-cause death, non-fatal myocardial infarction (MI), coronary artery revascularization, and non-fatal stroke.ResultsThe TyG index was significantly associated with traditional cardiovascular risk factors and the Gensini score (GS). Kaplan–Meier survival (MACE-free) curves by tertiles of the TyG index showed statistically significant differences (log-rank test, p = 0.001). In the fully adjusted Cox regression model, the Hazard ratio (95% CI) of MACE was 2.17 (1.15–4.06) in tertile 3 and 1.45 (1.11–1.91) for per SD increase in the TyG index. Time-dependent ROC analyses of the TyG for prediction of MACE showed the area under the curves (AUC) reached 0.631 at 3 years, 0.643 at 6 years, and 0.710 at 9 years. Furthermore, adding TyG index to existing risk prediction model could improve outcome prediction [C-statistic increased from 0.715 to 0.719, p = 0.007; continuous net reclassification improvement (NRI) = 0.101, p = 0.362; integrated discrimination improvement (IDI) = 0.011, p = 0.017].ConclusionThe TyG index is an independent predictor of MACE in patients with PCAD, suggesting that the TyG index has important clinical implications for risk stratification and early intervention of PCAD.

Prognostic value of peripheral blood circular RNAs in patients with acute coronary syndrome.

BackgroundAcute coronary syndrome (ACS) is a clinical emergency. Although its prognosis has been significantly improved, some patients will have major adverse cardiovascular events (MACE) in the short term. We aimed to analyze the prognostic value of circRNAs in patients with ACS.MethodsThis diagnostic accuracy study enrolled a total of 100 patients with ACS from January 2019 to January 2021. All patients were followed up for 30 days. The expression of circRNAs in peripheral blood was determined using real-time fluorescence quantification PCR (qRT-PCR). 30 patients with MACE were divided into the observation group and 70 patients without MACE were divided into the control group. The general data and the detection results of circRNAs of the two groups were compared, and the influencing factors of MACE in ACS patients were analyzed by logistic regression. Receiver operating characteristic (ROC) curves were generated, and the predictive value of peripheral blood circRNAs for MACE in patients with ACS was evaluated.ResultsThe age, sex, hypertension, dyslipidemia, location of coronary artery disease, left ventricular ejection fraction, and Killip grade were not significantly different between the two groups (P>0.05). Type 2 diabetes and smoking history in the observation group were also comparable between the two groups (P>0.05). Logistic regression analysis showed that type 2 diabetes mellitus [odd ratio (OR) 1.314, 95% confidence interval (CI): 1.052–1.437, P=0.002], smoking history (OR 1.227, 95% CI: 1.014–1.385, P=0.001), and the up-regulation of circRNAs in peripheral blood (OR 1.312, 95% CI: 1.028–1.452, P=0.002) were risk factors for MACE in ACS patients. The results of the ROC curve showed that peripheral blood circRNAs could be used as a predictor of MACE in patients with ACS. The best cut-off value was 96.44 ng/µL, the diagnostic sensitivity was 75.71%, the specificity was 100%, and the area under the curve (AUC) was 0.931 (95% CI: 0.884–0.977, P<0.001).ConclusionsPeripheral blood circRNAs are up-regulated about 3 fold in the peripheral blood of patients with ACS. Abnormal expression is an independent risk factor affecting MACE. Peripheral blood circRNAs can assist in clinical decision-making processes in patients with ACS.

Left atrial reservoir strain is an independent prognostic predictor in patients undergoing percutaneous mitral valve repair

Abstract Funding Acknowledgements Type of funding sources: None. Background Left atrial reservoir strain (LARS) is a well-known prognostic predictor in several cardiac diseases. Aim of the presence study was to assess the value of LARS in predicting the occurrence of major adverse cardiovascular events (MACEs) in patients undergoing percutaneous mitral valve repair (PMVR) Methods and results 112 patients (62% males, age: 74 ± 10 years) undergoing PMVR for severe primary (n = 71, 63%) or secondary MR were retrospectively included in the study underwent a comprehensive echocardiography before the procedure. Thirty-eight MACES occurred during a median follow-up of 18 months. At multivariable Cox-regression analysis, ischemic cardiomyopathy [HR 2.41 (1.11-5.24, p = 0.02)], indexed left atrial volume [HR 1.01 (1.00-1.01), p = 0.03], and LARS [HR 0.93 (0.88-0.99), p = 0.03] were all significant predictors of MACEs. A cut-off of 13% for LARS (AUC 0.66, p = 0.008) was able to predict MACEs with a 71% sensitivity and 41% specificity (Table 1). Conclusions LARS is an independent predictor of MACEs in patients undergoing percutaneous mitral valve repair, independently of the etiology of mitral regurgitation. Abstract Figure.

QT-dispersion and major adverse cardiovascular events prediction after percutaneous coronary intervention in patients with Type 2 diabetes mellitus

Objectives: The objective of this study investigated the relation between QT-dispersion (QTd) and both number of coronary artery disease and major adverse cardiovascular events (MACEs) among patients with type 2 diabetes after elective percutaneous coronary intervention (PCI). Methods: One hundred ischemic heart disease patients undergoing elective coronary angioplasty were included; 49 patients with diabetes (group I) and 51 patients without diabetes mellitus (group II). Based on the QTd parameter after PCI, both groups were subdivided into tertiles. Angiographic, electrocardiographic parameters, and MACE were compared. Results: Both QTd after PCI and delta QTd were correlated to the number of diseased coronary arteries and MACE in patients with diabetes compared to patients without diabetes. QTd was longer in patients with diabetes developing MACE than those without MACE (r = −0.31, P = 0.04). Conclusion: QTd after PCI and delta QTd are the independent predictors of MACE in patients with type 2 diabetes.

Plasma Leukocyte Cell-Derived Chemotaxin 2 (LECT2) as a Risk Factor of Coronary Artery Disease: A Cross-Sectional Study.

Many studies have shown that leukocyte cell-derived chemotaxin 2 (LECT2) is associated with metabolic disorders, which is a risk factor of arteriosclerosis. We assessed the level of LECT-2 in patients with coronary artery disease (CAD) and its severity and prognosis. We selected 666 participants who underwent coronary angiography in our hospital and included patients with non-CAD, patients with stable angina pectoris (SAP), patients with unstable angina (UA), patients with non-ST-segment elevation myocardial infarction (NSTEMI) and patients with ST-segment elevation myocardial infarction (STEMI). The serum level of LECT-2 was higher in patients with CAD than in patients with non-CAD and was an independent predictor for CAD. Subgroup analysis showed that compared with the SAP group, the UA, NSTEMI, and STEMI groups had higher serum levels of LECT-2. In addition, the level of LECT-2 was related to the SYNTAX score and SYNTAX II score. Finally, patients with acute myocardial infarction (AMI) with elevated levels of LECT-2 had a higher risk of major adverse cardiovascular events (MACEs) within 12 months than those with lower levels of LECT-2. Plasma LECT-2 levels may be useful for the diagnosis of CAD and as predictors of MACE in patients with AMI.

Prognostic value of NT-proBNP in patients with chronic coronary syndrome and normal left ventricular systolic function according to glucose status: a prospective cohort study

BackgroundThe prognostic value of N-terminal pro-brain natriuretic peptide (NT-proBNP) in patients with coronary artery disease (CAD) with different glucose status has not been established. This study sought to evaluate the significance of NT-proBNP in predicting major adverse cardiovascular events (MACEs) in patients with chronic coronary syndrome (CCS) and normal left-ventricular systolic function (LVSF) according to different glucose status, especially in those with abnormal glucose metabolism.Methods A total of 8062 patients with CCS and normal LVSF were consecutively enrolled in this prospective study. Baseline plasma NT-proBNP levels were measured. The follow-up data of all patients were collected. Kaplan-Meier and Cox regression analyses were used to assess the risk of MACEs according to NT-proBNP tertiles stratified by glucose status.ResultsOver an average follow-up of 59.13 ± 18.23 months, 569 patients (7.1 %) suffered from MACEs, including cardiovascular death, non-fatal myocardial infarction, and non-fatal stroke. Kaplan-Meier analysis showed that high NT-proBNP levels had a significant association with MACEs in subjects with prediabetes mellitus (pre-DM) or DM, but not in patients with normoglycemia. Multivariate Cox regression analysis revealed that NT-proBNP remained an independent predictor of MACEs in patients with pre-DM [hazard ratio (HR): 2.56, 95% confidence interval (CI): 1.34–4.91] or DM (HR: 2.34, 95% CI: 1.32–4.16). Moreover, adding NT-proBNP to the original Cox model including traditional risk factors significantly increased the C-statistic by 0.035 in pre-DM and DM, respectively.ConclusionsThe present study indicated that NT-proBNP could well predict worse outcomes in dysglycemic patients with CCS and normal LVSF, suggesting that NT-proBNP may help with risk stratification in this population.

Impaired retinal microvascular function predicts long-term adverse events in patients with cardiovascular disease.

Endothelial dysfunction is a precursor to the development of symptomatic atherosclerosis. Retinal microvascular reactivity to flicker light stimulation is a marker of endothelial function and can be quantified in vivo. We sought to determine whether retinal microvascular endothelial dysfunction predicts long-term major adverse cardiovascular events (MACE). In a single-centre prospective observational study, patients with coronary artery disease (CAD) or cardiovascular risk factors underwent dynamic retinal vessel assessment in response to flicker light stimulation and were followed up for MACE. Retinal microvascular endothelial dysfunction was quantified by measuring maximum flicker light-induced retinal arteriolar dilatation (FI-RAD) and flicker light-induced retinal venular dilatation (FI-RVD). In total, 252 patients underwent dynamic retinal vessel assessment and 242 (96%) had long-term follow-up. Of the 242 patients, 88 (36%) developed MACE over a median period of 8.6 years (interquartile range 6.0-9.1). After adjustment for traditional risk factors, patients within the lowest quintile of FI-RAD had the highest risk of MACE [odds ratio (OR) 5.21; 95% confidence interval (CI) 1.78-15.28]. Patients with lower FI-RAD were also more likely to die (OR 2.09; 95% CI 1.00-4.40, per standard deviation decrease in FI-RAD). In Kaplan-Meier analysis, patients with FI-RAD responses below the cohort median of 1.4% exhibited reduced MACE-free survival (55.5 vs. 71.5%; log-rank P = 0.004). FI-RVD was not predictive of MACE. Retinal arteriolar endothelial dysfunction is an independent predictor of MACE in patients with CAD or cardiovascular risk factors. Dynamic retinal vessel analysis may provide added benefit to traditional risk factors in stratifying patients at risk for cardiovascular events.

Cardiac Magnetic Resonance Myocardial Feature Tracking for Optimized Risk Assessment After Acute Myocardial Infarction in Patients With Type 2 Diabetes.

Type 2 diabetes predicts outcome following acute myocardial infarction (AMI). Since underlying mechanics are incompletely understood, we investigated left ventricular (LV) and left atrial (LA) pathophysiological changes and their prognostic implications using cardiovascular magnetic resonance (CMR). Consecutive patients (N = 1,147; n = 265 with diabetes, n = 882 without diabetes) underwent CMR 3 days after AMI. Analyses included LV ejection fraction (LVEF); global longitudinal strain (GLS) and circumferential and radial strains; LA reservoir, conduit, and booster pump strains; and infarct size, edema, and microvascular obstruction. Predefined end points were major adverse cardiovascular events (MACE) within 12 months. Patients with diabetes had impaired LA reservoir (19.8% vs. 21.2%, P < 0.01) and conduit (7.6% vs. 9.0%, P < 0.01) strains but not ventricular function or myocardial damage. They were at higher risk of MACE than patients without diabetes (10.2% vs. 5.8%, P < 0.01), with most MACE occurring in patients with LVEF ≥35%. While LVEF (P = 0.045) and atrial reservoir strain (P = 0.024) were independent predictors of MACE in patients without diabetes, GLS was in patients with diabetes (P = 0.010). Considering patients with diabetes and LVEF ≥35% (n = 237), GLS and LA reservoir strain below median were significantly associated with MACE. In conclusion, in patients with diabetes, LA and LV longitudinal strain permit optimized risk assessment early after reperfused AMI with incremental prognostic value over and above that of LVEF.