scholarly journals Impact of Coronary Plaque Vulnerability on Acute Cardiovascular Events – Design of a CT-based 2-year Follow-up Study

2019 ◽  
Vol 4 (2) ◽  
pp. 64-71
Author(s):  
Noémi Mitra ◽  
Roxana Hodas ◽  
Evelin Szabó ◽  
Zsolt Parajkó ◽  
Theodora Benedek ◽  
...  
Keyword(s):  
Cardiovascular Events ◽  
Plaque Rupture ◽  
Coronary Plaque ◽  
Plaque Vulnerability ◽  
Mortality And Morbidity ◽  
Diagnostic Strategies ◽  
Major Cardiovascular Events ◽  
Artery Disease ◽  
Improve Patient

Abstract With coronary artery disease (CAD) projected to remain the leading cause of global mortality, prevention strategies seem to be the only effective approach able to reduce the burden and improve mortality and morbidity. At this moment, diagnostic strategies focus mainly on symptomatic patients, ignoring the occurrence of major cardiovascular events as the only manifestation of CAD. As two thirds of fatal myocardial infarction are resulting from plaque rupture, an approach based on the “vulnerable plaque” concept is mandatory in order to improve patient diagnosis, treatment, and, by default, prognosis. Given that the main studies focus on a plaque-centered approach, this is a prospective observational study that will perform a complex assessment of the features that characterize unstable coronary lesions, in terms of both local assessment via specific coronary computed tomography angiography markers of coronary plaque vulnerability and systemic approach based on serological markers of systemic inflammation in patients proved to be “vulnerable” by developing acute cardiovascular events.

P6448Major cardiovascular events free survival in the long term follow up of “real world” diabetic patients with stable coronary artery disease at the beginning of the 21st century. The CICCOR Registry

2019 ◽  
Vol 40 (Supplement_1) ◽  
Author(s):  
M Ruiz Ortiz ◽  
J J Sanchez Fernandez ◽  
C Ogayar Luque ◽  
E Romo Penas ◽  
M Delgado Ortega ◽  
...  
Keyword(s):  
Real World ◽  
Cardiovascular Events ◽  
Stable Coronary Artery Disease ◽  
Diabetic Patients ◽  
Free Survival ◽  
End Point ◽  
Major Cardiovascular Events ◽  
Artery Disease

Abstract Background Safety trials of antidiabetic drugs have included a main endpoint of cardiovascular morbidity and mortality. However, “real world” data on long term prognosis of diabetic patients with stable coronary artery disease (sCAD) are limited. This study aimed to assess long-term incidence of major cardiovascular events in this population and to identify clinical predictors of this end-point. Methods The CICCOR registry is a prospective, monocentric, cohort study. From February 1, 2000 to January 31, 2004, all consecutive patients with sCAD attended at two outpatient cardiology clinics in a city of the south of Spain were included in the study and prospectively followed. Patients with type 2 diabetes mellitus were selected for this analysis. None of these patients received sodium-glucose cotransporter-2 inhibitors at first visit, as they were not commercially available at that time. Survival free of major cardiovascular events (combined end-point: acute myocardial infarction, stroke, or cardiovascular death) and variables associated with this end-point were investigated. Results The study sample included 394 patients (mean age 68±9 years, 61% male). After up to 17 years of follow-up (median 9 years, IQR 4–14 years, only 2 patients lost in follow-up, with a total of 3517 patients-years of observation), 66 had an acute myocardial infarction, 55 had an stroke and 165 died for cardiovascular causes. Survival free of major cardiovascular events was 88%, 70%, 57%, 47% and 32% at 3, 6, 9, 12 and 15 years. Multivariate predictors of the combined end-point are shown in the table. Predictors of major cardiovascular event Variable Hazard Ratio (95% CI) p value Age (year) 1.06 (1.04–1.08) <0.0005 Tobacco use 0.02 Never smoker 1 (reference) Ex-smoker 1.43 (1.02–1.99) 0.04 Active smoker 2.23 (1.16–4.30) 0.02 Functional Class ≥II (angina) 1.57 (1.14–2.16) 0.006 Resting heart rate (10 bpm increase) 1.12 (1.01–1.24) 0.04 Diuretic treatment at first visit 1.71 (1.26–2.30) 0.001 Conclusions Probability of major event-free survival was only 47% at 12 years in this “real world” cohort of diabetic patients with sCAD followed in the first 17 years of this century in a single center in the south of Spain. Simple clinical variables can identify patients at higher risk of events. Acknowledgement/Funding This work has been partially financed by an investigational grant by Boehringher Ingelheim

Serum FGF-21 Is Associated with Future Cardiovascular Events in Patients with Coronary Artery Disease—Results from a Median Follow-Up of 4.8 Years Study

Diabetes ◽  
2018 ◽  
Vol 67 (Supplement 1) ◽  
pp. 426-P
Author(s):  
YUQIAN BAO ◽  
YUN SHEN ◽  
XUELI ZHANG ◽  
YITING XU ◽  
QIN XIONG ◽  
...  
Keyword(s):  
Coronary Artery Disease ◽  
Coronary Artery ◽  
Cardiovascular Events ◽  
Artery Disease

scholarly journals Incremental changes in QRS duration as predictor for cardiovascular disease: a 21-year follow-up of a randomly selected general population

2021 ◽  
Vol 11 (1) ◽  
Author(s):  
Xiaojing Chen ◽  
Per-Olof Hansson ◽  
Erik Thunström ◽  
Zacharias Mandalenakis ◽  
Kenneth Caidahl ◽  
...  
Keyword(s):  
Cardiovascular Disease ◽  
General Population ◽  
Cardiovascular Events ◽  
Population Sample ◽  
Cox Regression Analysis ◽  
Major Cardiovascular Events ◽  
Increased Risk ◽  
Qrs Duration ◽  
Group 1

AbstractThe QRS complex has been shown to be a prognostic marker in coronary artery disease. However, the changes in QRS duration over time, and its predictive value for cardiovascular disease in the general population is poorly studied. So we aimed to explore if increased QRS duration from the age of 50–60 is associated with increased risk of major cardiovascular events during a further follow-up to age 71. A random population sample of 798 men born in 1943 were examined in 1993 at 50 years of age, and re-examined in 2003 at age 60 and 2014 at age 71. Participants who developed cardiovascular disease before the re-examination in 2003 (n = 86) or missing value of QRS duration in 2003 (n = 127) were excluded. ΔQRS was defined as increase in QRS duration from age 50 to 60. Participants were divided into three groups: group 1: ΔQRS < 4 ms, group 2: 4 ms ≤ ΔQRS < 8 ms, group 3: ΔQRS ≥ 8 ms. Endpoints were major cardiovascular events. And we found compared with men in group 1 (ΔQRS < 4 ms), men with ΔQRS ≥ 8 ms had a 56% increased risk of MACE during follow-up to 71 years of age after adjusted for BMI, systolic blood pressure, smoking, hyperlipidemia, diabetes and heart rate in a multivariable Cox regression analysis (HR 1.56, 95% CI:1.07–2.27, P = 0.022). In conclusion, in this longitudinal follow-up over a decade QRS duration increased in almost two out of three men between age 50 and 60 and the increased QRS duration in middle age is an independent predictor of major cardiovascular events.

scholarly journals Predicting plaque vulnerability change using intravascular ultrasound + optical coherence tomography image-based fluid–structure interaction models and machine learning methods with patient follow-up data: a feasibility study

2021 ◽  
Vol 20 (1) ◽  
Author(s):  
Xiaoya Guo ◽  
Akiko Maehara ◽  
Mitsuaki Matsumura ◽  
Liang Wang ◽  
Jie Zheng ◽  
...  
Keyword(s):  
Machine Learning ◽  
Coronary Plaque ◽  
Support Vector ◽  
Single Factor ◽  
Plaque Vulnerability ◽  
Learning Methods ◽  
Machine Learning Methods ◽  
Vulnerability Prediction ◽  
Biomechanical Factors

Abstract Background Coronary plaque vulnerability prediction is difficult because plaque vulnerability is non-trivial to quantify, clinically available medical image modality is not enough to quantify thin cap thickness, prediction methods with high accuracies still need to be developed, and gold-standard data to validate vulnerability prediction are often not available. Patient follow-up intravascular ultrasound (IVUS), optical coherence tomography (OCT) and angiography data were acquired to construct 3D fluid–structure interaction (FSI) coronary models and four machine-learning methods were compared to identify optimal method to predict future plaque vulnerability. Methods Baseline and 10-month follow-up in vivo IVUS and OCT coronary plaque data were acquired from two arteries of one patient using IRB approved protocols with informed consent obtained. IVUS and OCT-based FSI models were constructed to obtain plaque wall stress/strain and wall shear stress. Forty-five slices were selected as machine learning sample database for vulnerability prediction study. Thirteen key morphological factors from IVUS and OCT images and biomechanical factors from FSI model were extracted from 45 slices at baseline for analysis. Lipid percentage index (LPI), cap thickness index (CTI) and morphological plaque vulnerability index (MPVI) were quantified to measure plaque vulnerability. Four machine learning methods (least square support vector machine, discriminant analysis, random forest and ensemble learning) were employed to predict the changes of three indices using all combinations of 13 factors. A standard fivefold cross-validation procedure was used to evaluate prediction results. Results For LPI change prediction using support vector machine, wall thickness was the optimal single-factor predictor with area under curve (AUC) 0.883 and the AUC of optimal combinational-factor predictor achieved 0.963. For CTI change prediction using discriminant analysis, minimum cap thickness was the optimal single-factor predictor with AUC 0.818 while optimal combinational-factor predictor achieved an AUC 0.836. Using random forest for predicting MPVI change, minimum cap thickness was the optimal single-factor predictor with AUC 0.785 and the AUC of optimal combinational-factor predictor achieved 0.847. Conclusion This feasibility study demonstrated that machine learning methods could be used to accurately predict plaque vulnerability change based on morphological and biomechanical factors from multi-modality image-based FSI models. Large-scale studies are needed to verify our findings.

Abstract 14344: Prognostic Factors of Atrial Fibrillation Patients With Coronary Artery Disease: The Fushimi Af Registry

Circulation ◽  
2020 ◽  
Vol 142 (Suppl_3) ◽  
Author(s):  
Nobutoyo Masunaga ◽  
Hisashi Ogawa ◽  
Yuya Aono ◽  
Syuhei Ikeda ◽  
KOSUKE DOI ◽  
...  
Keyword(s):  
Diabetes Mellitus ◽  
Heart Failure ◽  
Atrial Fibrillation ◽  
Prognostic Factors ◽  
Major Bleeding ◽  
Cardiac Death ◽  
Cardiovascular Events ◽  
Factors Associated ◽  
Artery Disease

Background: Atrial fibrillation (AF) patients are likely to have concomitant coronary artery disease (CAD). A new strategy of antithrombotic therapy in AF patients with stable CAD was demonstrated in recent randomized clinical trials. Now that antithrombotic therapy for AF patients with CAD has reached a major turning point, it is important to know the prognostic factors in those patients. Purpose: In this study, we investigated clinical characteristics, cardiovascular events and prognostic factors in AF patients with CAD. Methods: The Fushimi AF Registry, a community-based prospective survey, was designed to enroll all of the AF patients who visited the participating medical institutions in Fushimi-ku, Kyoto, Japan. Follow up data including prescription status were available in 4,441 patients from March 2011 to November 2019. Of 4,441 patients, 645 patients had a history of CAD at enrollment. Results: The mean age was 76.4±8.6 and 65.9% were male. Averages of CHA 2 DS 2 -VASc score and HAS-BLED score were 4.41 and 2.35, respectively. Oral anticoagulant (OAC) was prescribed in 52.9% of those patients and antiplatelet drug (APD) was prescribed in 70.4%. The combination of OAC and APD was prescribed in 36.0%. During follow-up period (median 1,495 days), cardiac death occurred in 51 patients, composite of cardiac death, myocardial infarction (MI) and stroke in 136, and major bleeding in 77 (1.8, 5.1 and 2.9 per 100 person-years, respectively). In multivariate analysis, factors associated with composite of cardiac death, MI and stroke in AF patients with CAD were low body weight (<=50kg) (hazard ratio [95% confidence interval]; 1.62 [1.07-2.47]), previous stroke (1.69 [1.13-2.52]), heart failure (1.47 [1.02-2.11]), hypertension (0.60 [0.41-0.87]) and diabetes mellitus (1.62 [1.13-2.32]). Furthermore, factors associated with major bleeding in AF patients with CAD were anemia (male: hemoglobin<12 g/dl, female: hemoglobin<11 g/dl) (1.82 [1.09-3.04]) and thrombocytopenia (<150,000 /μL) (3.02 [1.29-7.03]). Conclusion: In Japanese AF patients with CAD, low body weight, previous stroke, heart failure, hypertension and diabetes mellitus were associated with cardiovascular events, and anemia and thrombocytopenia were associated with major bleeding.

scholarly journals Cardiovascular and Neurological Complications Associated with Atrial Fibrillation

2017 ◽  
pp. 164-72
Author(s):  
Raymond Pranata ◽  
Hadrian Deka ◽  
Bambang Budi Siswanto
Keyword(s):  
Atrial Fibrillation ◽  
Cognitive Decline ◽  
Cardiovascular Mortality ◽  
Neurological Complications ◽  
Mortality And Morbidity ◽  
Major Cardiovascular Events ◽  
Bidirectional Association ◽  
Causes Of Mortality ◽  
Artery Disease ◽  
And Control

Atrial fibrillation (FA) is the most common type of sustained-arrhythmia and one of the leading causes of mortality and morbidity globally, with estimated five million incidents. FA was associated with increased all-cause mortality (RR 1.46), cardiovascular mortality (RR 2.03), major cardiovascular events (RR 1.96), stroke (RR 2.42), ischemic stroke (RR 2.33), dementia (HR 1.42) and cognitive decline, ischemic heart disease (RR 1.61), sudden cardiac death (RR 1.88), heart failure (RR 4.99), chronic kidney disease (RR 1.64), and peripheral artery disease (RR 1.31). Overall, all-cause and cardiovascular mortality increased. Cognitive decline and dementia are also a concern since they impair function and quality of life. Overall, FA has bidirectional association with other cardiovascular diseases hence it acts as a marker for them. Therefore, prevention and control of risk factors are of utmost importance.

Abstract 967: Parathyroidectomy Reduces Cardiovascular Events And All-cause Mortality In Renal Hyperparathyroidism

Circulation ◽  
2007 ◽  
Vol 116 (suppl_16) ◽  
Author(s):  
Jose Lima ◽  
Valeria Costa-Hong ◽  
Vanda Jorgetti ◽  
Luis Henrique W Gowdak ◽  
Rosa Maria A Moyses ◽  
...  
Keyword(s):  
Cardiovascular Events ◽  
Mineral Metabolism ◽  
Cardiovascular Complications ◽  
Maintenance Hemodialysis ◽  
Major Cardiovascular Events ◽  
All Cause Mortality ◽  
Phosphate Product ◽  
Cardiovascular Variables ◽  
Overall Mortality

Background: Secondary hyperparathyroidism (SHPT) and its associated abnormalities in mineral metabolism increase the risk of cardiovascular morbidity and death in chronic kidney disease (CKD). The effect of parathyroidectomy (PTX) on the incidence of major cardiovascular events in CKD patients with SHPT is unknown. We tested the hypothesis that PTX reduces the incidence of cardiovascular complications and death in CKD patients with severe SHPT scheduled for PTX, comparing the outcome of patients treated or not treated by surgery. Methods: The study comprised 118 CKD patients with SHPT on maintenance hemodialysis, unresponsive to medical treatment, and scheduled for PTX. Patients underwent comprehensive cardiovascular evaluations at baseline. They were followed up until death, occurrence of major cardiovascular events, or kidney transplantation. Results: No deaths related to surgery occurred. After a median follow-up of 30 months, 50 patients (42.4%) had undergone PTX while 68 (57.9%) had not. The groups were comparable in terms of age, sex, race, parathyroid hormone (PTH), calcium, phosphate, calcium x phosphate product, and all major cardiovascular variables, except diastolic blood pressure. PTX was associated with a reduced incidence of major cardiovascular events (log-rank= 0.02) and overall mortality (log-rank= 0.001). Cox proportional multivariate analysis showed that variables significantly and independently associated with events were PTX (RR=2.36, CI 1.11–6.32, p=0.02) and age (RR=1.07, IC 1.02–1.14, p=0.009). All-cause mortality was related to PTX (RR=2.34, CI 1.25–5.14, p=0.007) and hematocrit (RR=1.15, CI 1.03–1.29, p=0.01). Conclusion: PTX confers protection against future major cardiovascular events and death in select CKD patients with severe refractory SHPT.

P5508Impact of CD14++CD16+ monocytes on coronary plaque vulnerability assessed by optical coherence tomography in coronary artery disease patients

2019 ◽  
Vol 40 (Supplement_1) ◽  
Author(s):  
H Yamamoto ◽  
H Otake ◽  
T Shinke ◽  
T Yamashita ◽  
H Kawamori ◽  
...  
Keyword(s):  
Coronary Artery Disease ◽  
Coronary Artery ◽  
Coronary Plaque ◽  
Lipid Lowering ◽  
Lipid Lowering Therapy ◽  
Plaque Vulnerability ◽  
Glucose Fluctuation ◽  
Fibrous Cap ◽  
Lipid Rich Plaque ◽  
Artery Disease

Abstract Background Diabetes mellitus has been known as an important factor of coronary artery disease (CAD) progression despite of widespread with lipid-lowering therapy. Although we have reported that large glucose fluctuation is associated with the development of cardiovascular disease in both diabetes mellitus (DM) and non-DM patients, the underlying mechanisms remain unclear. Monocytes play a key role for atherosclerotic plaque formation. Monocytes in human peripheral blood are divided into three subsets: CD14++CD16− monocytes, CD14++CD16+ monocytes, and CD14+CD16++ monocytes. The CD14++CD16+ monocyte subset has recently received attention because it is reported to be associated with future cardiovascular events such as acute myocardial infarction. However, their impact on coronary plaque vulnerability in coronary artery disease (CAD) patients with or without DM remains unclear. Purpose The aim of this study was to investigate the impact of CD14++CD16+ monocyte levels on coronary plaque vulnerability and glucose fluctuation in stable CAD patients with well-regulated lipid levels. Methods This prospective observational study included 50 consecutive patients with CAD (DM [n=22], Non-DM [n=28]), receiving lipid-lowering therapy and undergoing coronary angiography and optical coherence tomography (OCT). Patients were divided into 3 tertiles according to the CD14++CD16+ monocyte percentages assessed by flow cytometry. Standard OCT parameters including lipid arc, lipid length, fibrous cap thickness (FCT) on lipid rich plaque, were assessed for 97 angiographically intermediate lesions (diameter stenosis: 30–70%). The presence of thin-cap fibroatheroma (TCFA), defined as a thin fibrous cap (<65μm) overlying a lipid-rich plaque (>90°), was also assessed. Daily glucose fluctuation assessed by using continuous glucose monitoring system was analyzed by measuring the mean amplitude of glycemic excursion (MAGE). Results CD14++CD16+ monocytes negatively correlated with FCT on lipid rich plaque (r=0.508, p<0.01) (Figure. 1). The presence of thin-cap fibroatheroma (TCFA) was increased stepwise according to the tertile of CD14++CD16+ monocytes (0 [tertile 1] vs. 5 [tertile 2] vs. 10 [tertile 3], p<0.01). CD14++CD16+ monocytes were a significant determinant of TCFA (OR 1.279, p=0.001). Although CD14++CD16+ monocytes were not significantly correlated with MAGE in DM patients (r=0.259, p=0.244), a significant relationship was found between CD14++CD16+ monocytes and MAGE in non-DM patients (r=0.477, p=0.018) (Figure 2). Conclusions CD14++CD16+ monocytes were associated with coronary plaque vulnerability in CAD patients with well-regulated lipid levels both in DM and non-DM patients. Cross-talk between glucose fluctuation and CD14++CD16+ monocytes may enhance plaque vulnerability, particularly in non-DM patients. CD14++CD16+ monocytes could be a possible therapeutic target for coronary plaque stabilization.

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