Preventive Lessons from Hypertension and Myocardial Infarction: Treating Asymptomatic Individuals to Lower the Risk for Subsequent Cardiovascular Events

2014 ◽  
pp. 229-239
Author(s):  
Marc A. Pfeffer
Keyword(s):  
Myocardial Infarction ◽  
Cardiovascular Events ◽  
Asymptomatic Individuals

ElevatedChlamydia pneumoniaeAntibodies, Cardiovascular Events, and Azithromycin in Male Survivors of Myocardial Infarction

Circulation ◽  
1997 ◽  
Vol 96 (2) ◽  
pp. 404-407 ◽  
Author(s):  
Sandeep Gupta ◽  
Edward W. Leatham ◽  
David Carrington ◽  
Michael A. Mendall ◽  
Juan Carlos Kaski ◽  
...  
Keyword(s):  
Myocardial Infarction ◽  
Cardiovascular Events ◽  
Male Survivors

Immunoglobulin G levels predicts risk of recurrent adverse cardiovascular events in myocardial infarction patients

2019 ◽  
Vol 75 (6) ◽  
pp. 497-502
Author(s):  
Kathryn E. Hally ◽  
Ana S. Holley ◽  
Gisela A. Kristono ◽  
Scott A. Harding ◽  
Peter D. Larsen
Keyword(s):  
Myocardial Infarction ◽  
Immunoglobulin G ◽  
Cardiovascular Events

scholarly journals Establishment of a prognostic model based on the Sequential Organ Failure Assessment score for patients with first-time acute myocardial infarction

2021 ◽  
Vol 49 (5) ◽  
pp. 030006052110119
Author(s):  
Shuai Zheng ◽  
Jun Lyu ◽  
Didi Han ◽  
Fengshuo Xu ◽  
Chengzhuo Li ◽  
...  
Keyword(s):  
Myocardial Infarction ◽  
Acute Myocardial Infarction ◽  
Intensive Care Unit ◽  
Intensive Care ◽  
Sequential Organ Failure Assessment ◽  
Organ Failure ◽  
Sofa Score ◽  
Cardiovascular Events ◽  
Failure Assessment ◽  
First Time

Objective This study aimed to identify the prognostic factors of patients with first-time acute myocardial infarction (AMI) and to establish a nomogram for prognostic modeling. Methods We studied 985 patients with first-time AMI using data from the Multi-parameter Intelligent Monitoring for Intensive Care database and extracted their demographic data. Cox proportional hazards regression was used to examine outcome-related variables. We also tested a new predictive model that includes the Sequential Organ Failure Assessment (SOFA) score and compared it with the SOFA-only model. Results An older age, higher SOFA score, and higher Acute Physiology III score were risk factors for the prognosis of AMI. The risk of further cardiovascular events was 1.54-fold higher in women than in men. Patients in the cardiac surgery intensive care unit had a better prognosis than those in the coronary heart disease intensive care unit. Pressurized drug use was a protective factor and the risk of further cardiovascular events was 1.36-fold higher in nonusers. Conclusion The prognosis of AMI is affected by age, the SOFA score, the Acute Physiology III score, sex, admission location, type of care unit, and vasopressin use. Our new predictive model for AMI has better performance than the SOFA model alone.

Paediatric-onset coronary artery anomalies in pregnancy: a single-centre experience and systematic literature review

2017 ◽  
Vol 27 (8) ◽  
pp. 1529-1537 ◽  
Author(s):  
Michelle Keir ◽  
Catriona Bhagra ◽  
Debra Vatenmakher ◽  
Francisca Arancibia-Galilea ◽  
Katrijn Jansen ◽  
...  
Keyword(s):  
Myocardial Infarction ◽  
Cardiac Arrest ◽  
Coronary Artery ◽  
Cardiovascular Events ◽  
Coronary Anomalies ◽  
Coronary Artery Anomalies ◽  
Major Cardiovascular Events ◽  
Coronary Aneurysms ◽  
Increased Risk ◽  
In Pregnancy

AbstractObjectivesIndividuals with childhood-onset coronary artery anomalies are at increased risk of lifelong complications. Although pregnancy is thought to confer additional risk, a few data are available regarding outcomes in this group of women. We sought to define outcomes of pregnancy in this unique population.MethodsWe performed a retrospective survey of women with paediatric-onset coronary anomalies and pregnancy in our institution, combined with a systematic review of published cases. We defined paediatric-onset coronary artery anomalies as congenital coronary anomalies and inflammatory arteriopathies of childhood that cause coronary aneurysms. Major cardiovascular events were defined as pulmonary oedema, sustained arrhythmia requiring treatment, stroke, myocardial infarction, cardiac arrest, or death.ResultsA total of 25 surveys were mailed, and 20 were returned (80% response rate). We included 46 articles from the literature, which described cardiovascular outcomes in 82 women (138 pregnancies). These data were amalgamated for a total of 102 women and 194 pregnancies; 59% of women were known to have paediatric-onset coronary artery anomalies before pregnancy. In 23%, the anomaly was unmasked during or shortly after pregnancy. The remainder, 18%, was diagnosed later in life. Major cardiovascular events occurred in 14 women (14%) and included heart failure (n=5, 5%), myocardial infarction (n=7, 7%), maternal death (n=2, 2%), cardiac arrest secondary to ventricular fibrillation (n=1, 1%), and stroke (n=1, 1%). The majority of maternal events (13/14, 93%) occurred in women with no previous diagnosis of coronary disease.ConclusionsWomen with paediatric-onset coronary artery anomalies have a 14% risk of adverse cardiovascular events in pregnancy, indicating the need for careful assessment and close follow-up. Prospective, multicentre studies are required to better define risk and predictors of complications during pregnancy.

scholarly journals Proton pump inhibitor use and risk of adverse cardiovascular events in aspirin treated patients with first time myocardial infarction: nationwide propensity score matched study

BMJ ◽  
2011 ◽  
Vol 342 (may11 1) ◽  
pp. d2690-d2690 ◽  
Author(s):  
M. Charlot ◽  
E. L. Grove ◽  
P. R. Hansen ◽  
J. B. Olesen ◽  
O. Ahlehoff ◽  
...  
Keyword(s):  
Myocardial Infarction ◽  
Proton Pump Inhibitor ◽  
Propensity Score ◽  
Proton Pump ◽  
Cardiovascular Events ◽  
Matched Study ◽  
First Time

Cannabinoids and myocardial ischemia: Novel insights, updated mechanisms, and implications for myocardial infarction

2021 ◽  
Vol 28 ◽  
Author(s):  
Karim Seif El-Dahan ◽  
Dima Machtoub ◽  
Gaelle Massoud ◽  
Suzanne A. Nasser ◽  
Bassam Hamam ◽  
...  
Keyword(s):  
Myocardial Infarction ◽  
Cardiovascular Events ◽  
Illicit Drugs ◽  
Supply And Demand ◽  
Health Benefits ◽  
Cell Types ◽  
Cellular Mechanisms ◽  
Potential Health ◽  
Organ Systems ◽  
Increased Risk

: Cannabis is the most widely trafficked and abused illicit drug due to its calming psychoactive properties. It has been increasingly recognized as having potential health benefits and relatively less adverse health effects as compared to other illicit drugs; however, growing evidence clearly indicates that cannabis is associated with considerable adverse cardiovascular events. Recent studies have linked cannabis use to myocardial infarction (MI); yet, very little is known about the underlying mechanisms. A MI is a cardiovascular disease characterized by a mismatch in the oxygen supply and demand of the heart, resulting in ischemia and subsequent necrosis of the myocardium. Since cannabis is increasingly being considered a risk factor for MI, there is a growing need for better appreciating its potential health benefits and consequences. Here, we discuss the cellular mechanisms of cannabis that lead to an increased risk of MI. We provide a thorough and critical analysis of cannabinoids’ actions, which include modulation of adipocyte biology, regional fat distribution, and atherosclerosis, as well as precipitation of hemodynamic stressors relevant in the setting of a MI. By critically dissecting the modulation of signaling pathways in multiple cell types, this paper highlights the mechanisms through which cannabis may trigger life-threatening cardiovascular events. This then provides a framework for future pharmacological studies which can identify targets or develop drugs that modulate cannabis’ effects on the cardiovascular system as well as other organ systems. Cannabis’ impact on the autonomic outflow, vascular smooth muscle cells, myocardium, cortisol levels and other hemodynamic changes are also mechanistically reviewed.

Abstract P019: A Single Model For Predicting Major Adverse Cardiovascular Events In Individuals With And Without History Of Atherosclerotic Cardiovascular Disease: The Atherosclerosis Risk In Communities (aric) Study

Circulation ◽  
2021 ◽  
Vol 143 (Suppl_1) ◽  
Author(s):  
Yejin Mok ◽  
Lena Mathews ◽  
Ron C Hoogeveen ◽  
Michael J Blaha ◽  
Christie M Ballantyne ◽  
...  
Keyword(s):  
Myocardial Infarction ◽  
Cardiovascular Disease ◽  
High Risk ◽  
Risk Stratification ◽  
Cardiovascular Events ◽  
Major Adverse Cardiovascular Events ◽  
Atherosclerotic Cardiovascular Disease ◽  
Single Model ◽  
History Of ◽  
Very High

Background: In the 2018 AHA/ACC Cholesterol guideline, risk stratification is an essential element. The use of a Pooled Cohort Equation (PCE) is recommended for individuals without atherosclerotic cardiovascular disease (ASCVD), and the new dichotomous classification of very high-risk vs. high-risk has been introduced for patients with ASCVD. These distinct risk stratification systems mainly rely on traditional risk factors, raising the possibility that a single model can predict major adverse cardiovascular events (MACEs) in persons with and without ASCVD. Methods: We studied 11,335 ARIC participants with (n=885) and without (n=10,450) a history of ASCVD (myocardial infarction, ischemic stroke, and symptomatic peripheral artery disease) at baseline (1996-98). We modeled factors in the PCE and the new classification for ASCVD patients (Figure legend) in a single CVD prediction model. We examined their associations with MACEs (myocardial infarction, stroke, and heart failure) using Cox models and evaluated the discrimination and calibration for a single model including those factors. Results: During a median follow-up of 18.4 years, there were 3,658 MACEs (3,105 in participants without ASCVD). In general, the factors in the PCE and the risk classification system for ASCVD patients were associated similarly with MACEs regardless of baseline ASCVD status, although age and systolic blood pressure showed significant interactions. A single model with these predictors and the relevant interaction terms showed good calibration and discrimination for those with and without ASCVD (c-statistic=0.729 and 0.704, respectively) (Figure). Conclusion: A single CVD prediction model performed well in persons with and without ASCVD. This approach will provide a specific predicted risk to ASCVD patients (instead of dichotomy of very high vs. high risk) and eliminate a practice gap between primary vs. secondary prevention due to different risk prediction tools.

Abstract #995713: Prevention of Cardiovascular Events in Asymptomatic Individuals

2021 ◽  
Vol 27 (6) ◽  
pp. S72-S73
Author(s):  
Julie Giannini ◽  
R. Philip Eaton ◽  
Kristen Gonzales ◽  
Imaneh Fallahi ◽  
David S. Schade
Keyword(s):  
Cardiovascular Events ◽  
Asymptomatic Individuals
Sign in / Sign up

Export Citation Format

Share Document