Annual progression of coronary artery calcium by spiral computed tomography in hypertensive patients without myocardial ischemia but with prominent atherosclerotic risk factors, in patients with previous angina pectoris or healed acute myocardial infarction, and in patients with coronary events during follow-up

2001 ◽  
Vol 87 (12) ◽  
pp. 1395-1397 ◽  
Author(s):  
Joseph Shemesh ◽  
Sara Apter ◽  
Dan Stolero ◽  
Yacov Itzchak ◽  
Michael Motro
Keyword(s):  
Risk Factors ◽  
Myocardial Infarction ◽  
Computed Tomography ◽  
Acute Myocardial Infarction ◽  
Coronary Artery ◽  
Spiral Computed ◽  
Hypertensive Patients ◽  
Coronary Events ◽  
Atherosclerotic Risk Factors

The combined impact of Type D personality and depression on cardiovascular events after acute myocardial infarction

2021 ◽  
pp. 1-11
Author(s):  
Yini Wang ◽  
Xueqin Gao ◽  
Zhenjuan Zhao ◽  
Ling Li ◽  
Guojie Liu ◽  
...  
Keyword(s):  
Risk Factors ◽  
Myocardial Infarction ◽  
Acute Myocardial Infarction ◽  
Significant Risk ◽  
Type D Personality ◽  
Adverse Outcomes ◽  
Combined Effect ◽  
Continuous Variables ◽  
Type D

Abstract Background Type D personality and depression are the independent psychological risk factors for adverse outcomes in cardiovascular patients. The aim of this study was to examine the combined effect of Type D personality and depression on clinical outcomes in patients suffering from acute myocardial infarction (AMI). Methods This prospective cohort study included 3568 patients diagnosed with AMI between February 2017 and September 2018. Type D personality and depression were assessed at baseline, while the major adverse cardiac event (MACE) rate (cardiac death, recurrent non-fatal myocardial infarction, revascularization, and stroke) and in-stent restenosis (ISR) rate were analyzed after a 2-year follow-up period. Results A total of 437 patients developed MACEs and 185 had ISR during the follow-up period. The Type D (+) depression (+) and Type D (+) depression (−) groups had a higher risk of MACE [95% confidence interval (CI) 1.74–6.07] (95% CI 1.25–2.96) and ISR (95% CI 3.09–8.28) (95% CI 1.85–6.22). Analysis of Type D and depression as continuous variables indicated that the main effect of Type D, depression and their combined effect were significantly associated with MACE and ISR. Moreover, Type D (+) depression (+) and Type D (+) depression (−) emerged as significant risk factors for MACE and ISR in males, while only Type D (+) depression (+) was associated with MACE and ISR in female patients. Conclusions These findings suggest that patients complicated with depression and Type D personality are at a higher risk of adverse cardiovascular outcomes. Individual assessments of Type D personality and depression, and comprehensive interventions are required.

Five-Year Follow-Up of the Medicine, Angioplasty, or Surgery Study (MASS)

Circulation ◽  
1999 ◽  
Vol 100 (suppl_2) ◽  
Author(s):  
Whady A. Hueb ◽  
Paulo Rogério Soares ◽  
Sérgio Almeida de Oliveira ◽  
Shiguemituzo Ariê ◽  
Rita Helena A. Cardoso ◽  
...  
Keyword(s):  
Myocardial Infarction ◽  
Acute Myocardial Infarction ◽  
Coronary Artery ◽  
Medical Treatment ◽  
Medical Therapy ◽  
Stable Angina ◽  
Coronary Angioplasty ◽  
Bypass Surgery ◽  
Random Assignment

Background —Although coronary angioplasty and myocardial bypass surgery are routinely used, there is no conclusive evidence that these interventional methods offer greater benefit than medical therapy alone. This study is intended to evaluate, in a prospective, randomized, and comparative analysis, the benefit of the 3 current therapeutic strategies for patients with stable angina and single proximal left anterior descending coronary artery stenosis. Methods and Results —In a single institution, 214 patients with stable angina, normal ventricular function, and severe proximal stenosis (>80%) on the left anterior descending artery were selected for the study. After random assignment, 70 patients were referred to surgical treatment, 72 to angioplasty, and 72 to medical treatment. The primary end points were the occurrence of acute myocardial infarction or death and presence of refractory angina. After a 5-year follow-up, these combined events were reported in only 6 patients referred to surgery as compared with 29 patients treated with angioplasty and 17 patients who only received medical treatment ( P =0.001). However, no differences were noted in relation to the occurrence of cardiac-related death in the 3 treatment groups ( P =0.622). No patient assigned to surgery needed repeat operation, whereas 8 patients assigned to angioplasty and 8 patients assigned to medical treatment required surgical bypass after the initial random assignment. Surgery and angioplasty reduced anginal symptoms and stress-induced ischemia considerably. However, all 3 treatments effectively improved limiting angina. Conclusions —Bypass surgery for single-vessel coronary artery disease is associated with a lower incidence of medium-term and long-term events as well as fewer anginal symptoms than that found in the patients who underwent angioplasty or medical therapy. In this study, coronary angioplasty was only superior to medical strategies in relation to the anginal status. However, the 3 treatment regimens yielded a similar incidence of acute myocardial infarction and death. Such information should be useful when choosing the best therapeutic option for similar patients.

scholarly journals Clinical Study on Characteristics and Risk Factors of Coronary Artery Lesions in Young Patients with Acute Myocardial Infarction

2021 ◽  
Vol 2021 ◽  
pp. 1-7
Author(s):  
Hua Liu ◽  
Jiangang Zhang ◽  
Zengcai Ma ◽  
Zesheng Xu
Keyword(s):  
Risk Factors ◽  
Myocardial Infarction ◽  
Acute Myocardial Infarction ◽  
Coronary Artery ◽  
Elderly Patients ◽  
Collateral Circulation ◽  
Young Patients ◽  
Coronary Artery Lesions ◽  
Dominant Type ◽  
Factors Affecting

Epidemiological evidence suggests that the incidence of acute myocardial infarction (AMI) among people under 40 years of age has an increasing trend in recent years. Smoking, hypertension, diabetes mellitus, family history, and gender (male) are considered as classic risk factors for CHD, but the pathogenesis of CHD in young people is not exactly the same. Moreover, the relationship between the pattern of coronary artery disease and risk factors in young patients with acute myocardial infarction is inconclusive. In this study, we retrospectively studied the clinical data of 150 AMI patients treated in our hospital from January 2020 to May 2021. The patients were divided into the young group and elderly group according to the difference in age. The number of coronary artery lesions, the degree of coronary artery stenosis, the distribution dominance typing, the position of the lesions, and the presence of collateral circulation were observed and compared between the two groups. Multivariate logistic regression analysis was used to investigate the risk factors affecting coronary artery lesions in young patients with AMI. The results showed that the number of coronary lesions in young patients with AMI was mainly single-vessel, and the dominant type of distribution was mainly right dominant type. The stenosis degree is lighter than that of elderly patients, and the incidence of collateral circulation is lower than that of elderly patients, but the position of the lesions has no obvious regular. Smoking, staying up late, HDL-C, and LDL-C/ApoB were independent factors affecting the number of coronary artery lesions, and the changes of HDL-C and LDL-C/ApoB had an important influence on the degree of coronary stenosis in young patients. This provides a new idea for clinical treatment.

P1755Plasma proteomics in healthy individuals predict myocardial infarction

2019 ◽  
Vol 40 (Supplement_1) ◽  
Author(s):  
R Hoogeveen ◽  
J P Belo Pereira ◽  
V Zampoleri ◽  
M J Bom ◽  
W Koenig ◽  
...  
Keyword(s):  
Machine Learning ◽  
Risk Factors ◽  
Myocardial Infarction ◽  
Acute Myocardial Infarction ◽  
Plasma Proteins ◽  
Risk Model ◽  
Machine Learning Algorithms ◽  
Machine Learning Techniques ◽  
Traditional Risk Factors

Abstract Background Currently used models to predict cardiovascular event risk have limited value. It has been shown repetitively that the addition of single biomarkers has modest impact. Recently we observed that a model consisting of a larger array of plasma proteins performed very well in predicting the presence of vulnerable plaques in primary prevention patients. However, the validation of this protein panel in predicting cardiovascular outcomes remains to be established. Purpose This study investigated the ability of a 384 preselected protein biomarkers to predict acute myocardial infarction, using state-of-the-art machine learning techniques. Secondly, we compared the performance of this multi-protein risk model to traditional risk engines. Methods We selected 822 subjects from the EPIC-Norfolk prospective cohort study, of whom 411 suffered a myocardial infarction during follow-up (median 15 years) compared to 411 controls who remained event-free (median follow-up 20 years). The 384 proteins were measured using proximity extension assay technology. Machine learning algorithms (random forests) were used for the prediction of acute myocardial infarction (ICD code I21–22). Performance of the model was tested against and on top of traditional risk factors for cardiovascular disease (refit Framingham). All performance measurements were averaged over several stability selection routines. Results Prediction of myocardial infarction using a machine-learning model consisting of 50 plasma proteins resulted in a ROC AUC of 0.74±0.14, in comparison to 0.69±0.17 using traditional risk factors (refit Framingham. Combining the proteins and refit Framingham resulted in a ROC AUC of 0.74±0.15. Focussing on events occurring within 3 years after baseline blood withdrawal, the ROC AUC increased to 0.80±0.09 using 50 plasma proteins, as opposed to 0.67±0.22 using refit Framingham (figure). Combining the protein model with refit Framingham resulted in a ROC AUC of 0.82±0.11 for these events. Diagnostic performance events <3yrs Conclusion High-throughput proteomics outperforms traditional risk factors in prediction of acute myocardial infarction. Prediction of myocardial infarction occurring within 3 years after inclusion showed highest performance. Availability of affordable proteomic approaches and developed machine learning pave the path for clinical implementation of these models in cardiovascular risk prediction. Acknowledgement/Funding This study was funded by an ERA-CVD grant (JTC2017) and EU Horizon 2020 grant (REPROGRAM, 667837)

scholarly journals Prognostic Utility of Coronary Computed Tomographic Angiography: A 5-Year Follow-Up in Type 2 Diabetes Patients with Suspected Coronary Artery Disease

2014 ◽  
Vol 2014 ◽  
pp. 1-7 ◽  
Author(s):  
Daliang Liu ◽  
Huijuan Jia ◽  
Yucun Fu ◽  
Wen He ◽  
Daqing Ma
Keyword(s):  
Computed Tomography ◽  
Type 2 Diabetes ◽  
Coronary Artery ◽  
Predictive Value ◽  
Coronary Computed Tomography Angiography ◽  
Control Group ◽  
Study Group ◽  
Coronary Events

Objectives.To analyze the predictive value of coronary computed tomography angiography on acute coronary artery events in patients with type 2 diabetes.Methods.Coronary computed tomography angiography was performed in 250 type 2 diabetic patients. After a follow-up for 5 years, 145 patients were excluded as they did not have any coronary events. The remaining 95 patients were divided into study group and control group. According to their density and shape, the coronary artery plaques were classified into 3 types and 4 types, respectively.Results.There is no statistically significant difference in the degree of stenosis between two groups. The proportion of calcified plaques in the study group was lower than in the control group. The proportion of mixed-calcified plaques in the study group was higher than in the other. Type III plaques have a 76.2% sensitivity and negative predictive value was 64.5% for acute coronary events; type IV plaques have a sensitivity of 52.6% and positive predictive value of 63% for chronic coronary events.Conclusions.CCTA may be used as a non-invasive modality for evaluating and predicting vulnerable coronary atherosclerosis plaques in patients with type 2 diabetes.

scholarly journals In-hospital gastrointestinal bleeding in patients with acute myocardial infarction: incidence, outcomes and risk factors analysis from China Acute Myocardial Infarction Registry

BMJ Open ◽  
2021 ◽  
Vol 11 (9) ◽  
pp. e044117
Author(s):  
Wence Shi ◽  
Xiaoxue Fan ◽  
Jingang Yang ◽  
Lin Ni ◽  
Shuhong Su ◽  
...  
Keyword(s):  
Risk Factors ◽  
Myocardial Infarction ◽  
Acute Myocardial Infarction ◽  
Logistic Regression ◽  
Gastrointestinal Bleeding ◽  
Secondary Outcome ◽  
Multivariate Logistic Regression ◽  
Independent Risk Factors ◽  
Receptor Inhibitor

ObjectiveTo investigate the incidence of gastrointestinal bleeding (GIB) in patients with acute myocardial infarction (AMI), clarify the association between adverse clinical outcomes and GIB and identify risk factors for in-hospital GIB after AMI.DesignRetrospective cohort study.Setting108 hospitals across three levels in China.ParticipantsFrom 1 January 2013 to 31 August 2014, after excluding 2659 patients because of incorrect age and missing GIB data, 23 794 patients with AMI from 108 hospitals enrolled in the China Acute Myocardial Infarction Registry were divided into GIB-positive (n=282) and GIB-negative (n=23 512) groups and were compared.Primary and secondary outcome measuresMajor adverse cardiovascular and cerebrovascular events (MACCEs) are a composite of all-cause death, reinfarction and stroke. The association between GIB and endpoints was examined using multivariate logistic regression and Cox proportional hazards models. Independent risk factors associated with GIB were identified using multivariate logistic regression analysis.ResultsThe incidence of in-hospital GIB in patients with AMI was 1.19%. GIB was significantly associated with an increased risk of MACCEs both in-hospital (OR 2.314; p<0.001) and at 2-year follow-up (HR 1.407; p=0.0008). Glycoprotein IIb/IIIa (GPIIb/IIIa) receptor inhibitor, percutaneous coronary intervention (PCI) and thrombolysis were novel independent risk factors for GIB identified in the Chinese AMI population (p<0.05).ConclusionsGIB is associated with both in-hospital and follow-up MACCEs. Gastrointestinal prophylactic treatment should be administered to patients with AMI who receive primary PCI, thrombolytic therapy or GPIIb/IIIa receptor inhibitor.Trial registration numberNCT01874691.

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