METABOLOMIC INVESTIGATION OF LONG-TERM RISK OF MAJOR ADVERSE CARDIOVASCULAR EVENTS IN A COMMUNITY-BASED COHORT (HEART SCORE) STUDY

2019 ◽  
Vol 73 (9) ◽  
pp. 1835
Author(s):  
Nnadozie Emechebe ◽  
Anh Thy Nguyen ◽  
Linh Duong ◽  
Kevin Kip ◽  
Ahmad Masri ◽  
...  
2019 ◽  
Vol 40 (Supplement_1) ◽  
Author(s):  
C X Song ◽  
R Fu ◽  
J G Yang ◽  
K F Dou ◽  
Y J Yang

Abstract Background Controversy exists regarding the use of beta-blockers (BBs) among patients with acute myocardial infarction (AMI) in contemporary reperfusion era. Previous studies predominantly focused on beta-blockers prescribed at discharge, and the effect of long-term adherence to beta-blocker on major adverse cardiovascular events (MACE) remains unclear. Objective To explore the association between long-term beta-blocker use patterns and MACE among contemporary AMI patients. Methods We enrolled 7860 patients with AMI, who were discharged alive and prescribed with BBs based on CAMI registry from January 2013 to September 2014. Patients were divided into two groups according to BBs use pattern: Always users group (n=4476) were defined as patients reporting BBs use at both 6- and 12-month follow-up; Inconsistent users group were defined as patients reporting at least once not using BBs at 6- or 12-month follow-up. Primary outcome was defined as MACE at 24-month follow-up, including all-cause death, non-fatal MI and repeat-revascularization. Multivariable cox proportional hazards regression model was used to assess the association between BBs and MACE. Results Baseline characteristics are shown in table 1. At 2-year follow-up, 518 patients in inconsistent users group (15.6%) and 548 patients in always users group (12.3%) had MACE. After multivariable adjustment, inconsistent use of BBs was associated with higher risk of MACE (HR: 1.323, 95% CI: 1.171–1.493, p<0.001). Table 1 Baseline characteristics Variable Always user (N=4476) Inconsistent user (N=3384) P value Age (years) 60.6±12.0 61.2±12.2 <0.001 Male 3381 (75.7%) 2461 (74.3%) 0.084 Diabetes 892 (20.0%) 610 (18.4%) 0.003 Hypertension 2372 (53.2%) 1543 (46.6%) <0.001 Dyslipidemia 244 (5.5%) 126 (3.8%) <0.001 Prior myocardial infarction 351 (7.9%) 232 (7.0%) <0.001 Heart failure 88 (2.0%) 63 (1.9%) <0.001 Chronic obstructive pulmonary disease 66 (1.5%) 60 (1.8%) <0.001 Current smoker 2054 (46.1%) 1579 (47.8%) 0.179 Left ventricular ejection fraction (%) 53.7±11.48 54.0±10.9 <0.001 Major Adverse Cardiovascular Events 548 (12.3%) 518 (15.6%) <0.001 Conclusions Our results showed consistent BBs use was associated with reduced risk of MACE among patients with AMI managed by contemporary treatment. Acknowledgement/Funding CAMS Innovation Fund for Medical Sciences (CIFMS) (2016-I2M-1-009)


2020 ◽  
Vol 6 (1) ◽  
pp. 16-22
Author(s):  
Farida Hanum Margolang ◽  
Refli Hasan ◽  
Abdul Halim Raynaldo ◽  
Harris Hasan ◽  
Ali Nafiah ◽  
...  

Background: Acute heart failure is a global health problem with high morbidity and mortality. Short term and long term prognosis of these patients is poor. Therefore, early identification of patients at high risk for major adverse cardiovascular events (MACEs) during hospitalization was needed to improve outcome. Creatinine levels at admission could be used as predictors of major adverse cardiovascular events in acute heart failure patients because creatinine is a simple and routine biomarker of renal function examined in patients with acute heart failure. This study aimed to determine whether creatinine can be used as a predictor of major adverse adverse cardiovascular events in patients with acute heart failure.Methods: This study is a prospective cohort study of 108 acute heart failure patients treated at H. Adam Malik Hospital from July 2018 to January 2019. Creatinine cut-off points were determined using the ROC curve, then bivariate and multivariate analyzes were performed to determine predictors of major adverse cardiovascular events during hospitalization.Results: From 108 study subjects, 24 (22.2%) subjects experienced major adverse cardiovascular events during hospitalization. The subjects who died were 20 people (83.4%), subjects with arrhythmia were 2 people (8.3%), and those who had stroke were 2 people (8.3 %). Through the ROC curve analysis, we found creatinine cut-off values of ≥1.7 mg / dl (AUC 0.899, 95% CI 0.840- 0.957, p <0.05). Creatinine ≥1.7 mg/dl could predict major adverse cardiovascular events with a sensitivity of 87.5% and specificity of 79.5%. Multivariate analysis showed that creatinine ≥1.7 mg / dl was an independent factor to predict MACEs during hospitalization in this study (OR 18,310, p 0.001) as well as creatinine clearance and heart rate.Conclusion: Creatinine levels at admission is an independent predictor for major adverse cardiovascular events during hospitalization in acute heart failure patients.


2019 ◽  
Vol 2019 ◽  
pp. 1-9
Author(s):  
Lidija Savic ◽  
Igor Mrdovic ◽  
Milika Asanin ◽  
Sanja Stankovic ◽  
Gordana Krljanac ◽  
...  

Background/Aim. The RISK-PCI is a simple score for the prediction of 30-day major adverse cardiovascular events (MACE) and mortality in patients treated with primary PCI (pPCI). The aim of the present study is to evaluate the prognostic performance of the RISK-PCI score in predicting MACE and mortality in the long-term follow-up of STEMI patients treated with pPCI. Method. The present study enrolled 2,096 STEMI patients treated with pPCI included in the RISK-PCI trial. Patients presenting with cardiogenic shock were excluded. The composite end-point MACE comprising cardiovascular mortality, nonfatal reinfarction and stroke. Patients were followed up at 6 years after enrollment. Results. One-year and 6-year MACE occurred in 229 (10.9%) and 285 (13.6%) patients, respectively; and 1-year and 6-year mortality occurred in 128 (6.2%) and 151 (7.2%) patients, respectively. The RISK-PCI score was an independent predictor for 1-year MACE (HR 1.24, 95% CI 1, 18–1.31, p<0.001), 6-year MACE (HR 1.22, 95% CI 1.16–1.28, p<0.001), 1-year mortality (HR 1.21, 95% CI 1.13–1.29, p<0.001), and 6-year mortality (HR 1.23, 95% CI 1.15–1.31, p<0.001). The discrimination of the RISK-PCI score to predict 1-year and 6-year MACE and mortality was good: for 1-year MACE c-statistic 0.78, for 6-year MACE c-statistic 0.75, for 1-year mortality c-statistic 0.87, and for 6-year mortality c-statistic 0.83. The nonsignificant Hosmer–Lemeshow goodness-of-fit estimates for 1-year MACE (p=0.619), 6-year MACE (p=0.319), 1-year mortality (p=0.258), and 6-year mortality (p=0.540) indicated a good calibration of the model. Conclusion. The RISK-PCI score demonstrates good characteristics in the assessment of the risk for the occurrence of MACE and mortality during long-term follow-up after pPCI.


Angiology ◽  
2020 ◽  
Vol 71 (8) ◽  
pp. 677-688 ◽  
Author(s):  
George Kassimis ◽  
Matthaios Didagelos ◽  
Giovanni Luigi De Maria ◽  
Nestoras Kontogiannis ◽  
Grigoris V. Karamasis ◽  
...  

Vascular calcification is a highly prevalent pathophenotype that is associated with aging, atherosclerotic cardiovascular disease, diabetes mellitus, and chronic kidney disease. When present, it portends a worse clinical outcome and predicts major adverse cardiovascular events. Heavily calcified coronary and peripheral artery lesions are difficult to dilate appropriately with conventional balloons during percutaneous intervention, and the use of several adjunctive strategies of plaque modification has been suggested. Intravascular lithotripsy (IVL) offers a novel option for lesion preparation of severely calcified plaques in coronary and peripheral vessels. It is unique among all technologies in its ability to modify calcium circumferentially and transmurally, thus modifying transmural conduit compliance. In this article, we summarize the currently available evidence on this technology, and we highlight its best clinical application through appropriate patient and lesion selection, with the main objective of optimizing stent delivery and implantation, and subsequent improved short- and long-term outcomes. We believe that the IVL balloon will transform the market, as it is easy to use, with predictable results. However, cost-effectiveness of such advanced technology will need to be considered.


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