artery disease
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(FIVE YEARS 11374)



2023 ◽  
Vol 83 ◽  
J. Yang ◽  
H. Zhao ◽  
H. Yuan ◽  
F. Zhu ◽  
W. Zhou

Abstract Coronary heart disease (CHD) has been associated with significant morbidity and mortality worldwide. Although remain controversial, several studies have demonstrated the association of M. pneumoniae infections with atherosclerosis. We evaluated the possible association of mycoplasma infections in patients diagnosed with atherosclerosis by ELISA and PCR methods. Atherosclerotic tissue samples and blood samples were collected for the detection of mycoplasma antibodies (IgA) by ELISA from the 97 patients with coronary artery disease (CAD). M. pneumoniae specific IgA, IgG and IgM were measured by using the Anti-M. pneumoniae IgA/IgG/IgM ELISA. Detection of M. pneumoniae targeting the P1 adhesion gene was performed by PCR Acute infection of M. pneumoniae was diagnosed in 43.3% (42) of patients by PCR. The M. pneumoniae specific antibodies were detected in 36.1% (35) of patients. Twenty-five (25.8%) cases had IgG antibodies, 15 (15.5%) cases had IgM antibodies, 3 (3.1%) cases had IgA antibodies, 10 (10.3%) cases had both IgM + IgG antibodies and 1 (1%) case of each had IgM + IgA and IgG + IgA antibodies. None of the cases was positive for all three antibodies. A Pearson correlation coefficient analysis revealed an excellent correlation between the PCR and the serological results (r=0.921, p<0.001). A majority (17, 40.5%) of the M. pneumoniae positive patients are within the 41-50 years of age group, followed by 10 (23.8%) patients in the age group of 61-70 years and 2 (4.8%) patients were >70 years of age. Our study reported an unusually higher prevalence of M. pneumoniae by serological tests (36.1%) and PCR (43.3%). Although the hypothesis of the association of M. pneumoniae and CAD is yet to be proven, the unusually high prevalence of M. pneumoniae in CAD patients indicates an association, if not, in the development of atherosclerosis.

2022 ◽  
Vol 147 ◽  
pp. 112632
Tannaz Jamialahmadi ◽  
Farshad Emami ◽  
Ramin Khameneh Bagheri ◽  
Hedieh Alimi ◽  
Fabio Bioletto ◽  

Cytokine ◽  
2022 ◽  
Vol 150 ◽  
pp. 155761
Lingfeng Zha ◽  
Jiangtao Dong ◽  
Qianwen Chen ◽  
Yuhua Liao ◽  
Hongsong Zhang ◽  

2022 ◽  
Vol 270 ◽  
pp. 444-454
Nicholas R Hess ◽  
Arman Kilic ◽  
Yisi Wang ◽  
Pyongsoo D Yoon ◽  
Forozan Navid ◽  

2022 ◽  
Vol 3 (1) ◽  
pp. 1-20
Amara Tariq ◽  
Marly Van Assen ◽  
Carlo N. De Cecco ◽  
Imon Banerjee

Free-form radiology reports associated with coronary computed tomography angiography (CCTA) include nuanced and complicated linguistics to report cardiovascular disease. Standardization and interpretation of such reports is crucial for clinical use of CCTA. Coronary Artery Disease Reporting and Data System (CAD-RADS) has been proposed to achieve such standardization by implementing a strict template-based report writing and assignment of a score between 0 and 5 indicating the severity of coronary artery lesions. Even after its introduction, free-form unstructured report writing remains popular among radiologists. In this work, we present our attempts at bridging the gap between structured and unstructured reporting by natural language processing. We present machine learning models that while being trained only on structured reports, can predict CAD-RADS scores by analysis of free-text of unstructured radiology reports. The best model achieves 98% accuracy on structured reports and 92% 1-margin accuracy (difference of \le 1 in the predicted and the actual scores) for free-form unstructured reports. Our model also performs well under very difficult circumstances including nuanced and widely varying terminology used for reporting cardiovascular functions and diseases, scarcity of labeled data for training our model, and uneven class label distribution.

Ayhan KÜP ◽  
Batur KANAR ◽  
Abdulkadir USLU ◽  
Regayip ZEHİR ◽  
Dursun AKASLAN ◽  

2022 ◽  
Vol 8 ◽  
Jingru Lin ◽  
Lijian Gao ◽  
Jia He ◽  
Mengyi Liu ◽  
Yuqi Cai ◽  

BackgroundMyocardial layer-specific strain can identify myocardial ischemia. Global myocardial work efficiency (GWE) based on non-invasive left ventricular (LV) pressure-strain loops is a novel parameter to determine LV function considering afterload. The study aimed to compare the diagnostic value of GWE and myocardial layer-specific strain during treadmill exercise stress testing to detect significant coronary artery disease (CAD) with normal baseline wall motion.MethodsEighty-nine patients who referred for coronary angiography due to suspected of CAD were included. Forty patients with severe coronary artery stenosis were diagnosed with significant CAD, and 49 were defined as non-significant CAD. Stress echocardiography was performed 24 h before angiography. Layer-specific longitudinal strains were assessed from the endocardium, mid-myocardium, and epicardium by 2D speckle-tracking echocardiography. Binary logistic regression analyses were performed to evaluate the association between significant CAD and echocardiographic parameters. A receiver operating characteristic curve was used to assess the capability of layer-specific strain and GWE to diagnose significant CAD.ResultsPatients with significant CAD had the worse function in all three myocardial layers at peak exercise compared with those with non-significant CAD when assessed with global longitudinal strain (GLS). At the peak exercise and recovery periods, GWE was lower in patients with significant CAD than in patients with non-significant CAD. In multivariable binary logistic regression analysis, peak endocardial GLS (OR: 1.35, p = 0.006) and peak GWE (OR: 0.76, p = 0.001) were associated with significant CAD. Receiver operating characteristic curves showed peak GWE to be superior to mid-myocardial, epicardial, and endocardial GLS in identifying significant CAD. Further, adding peak GWE to endocardial GLS could improve diagnostic capabilities.ConclusionsBoth GWE and endocardial GLS contribute to improving the diagnostic performance of exercise stress echocardiography. Furthermore, adding peak GWE to peak endocardial GLS provides incremental diagnostic value during a non-invasive screening of significant CAD before radioactive or invasive examinations.

2022 ◽  
Vol 23 (2) ◽  
pp. 952
Siarhei A. Dabravolski ◽  
Victoria A. Khotina ◽  
Vasily N. Sukhorukov ◽  
Vladislav A. Kalmykov ◽  
Liudmila M. Mikhaleva ◽  

Cardiovascular diseases (CVD) are one of the leading causes of morbidity and mortality worldwide. mtDNA (mitochondrial DNA) mutations are known to participate in the development and progression of some CVD. Moreover, specific types of mitochondria-mediated CVD have been discovered, such as MIEH (maternally inherited essential hypertension) and maternally inherited CHD (coronary heart disease). Maternally inherited mitochondrial CVD is caused by certain mutations in the mtDNA, which encode structural mitochondrial proteins and mitochondrial tRNA. In this review, we focus on recently identified mtDNA mutations associated with CVD (coronary artery disease and hypertension). Additionally, new data suggest the role of mtDNA mutations in Brugada syndrome and ischemic stroke, which before were considered only as a result of mutations in nuclear genes. Moreover, we discuss the molecular mechanisms of mtDNA involvement in the development of the disease.

Cancers ◽  
2022 ◽  
Vol 14 (2) ◽  
pp. 434
Stefan A. Lange ◽  
Holger Reinecke

Cardiovascular disease and cancer remain the leading causes of hospitalization and mortality in high-income countries. Survival after myocardial infarction has improved but there is still a difference in clinical outcome, mortality, and developing heart failure to the disadvantage of women with myocardial infarction. Most major cardiology trials and registries have excluded patients with cancer. As a result, there is only very limited information on the effects of coronary artery disease in cancer patients. In particular, the outcomes in women with cancer and coronary artery disease and its management remain empiric. We reviewed studies of over 27 million patients with coronary artery disease and cancer. Our review focused on the most important types of cancer (breast, colon, lung, prostate) and hematological malignancies with particular attention to sex-specific differences in treatment and prognosis.

Shilpa Atwal ◽  
Jitender Thakur

Background: To determine the indications for which statins are being prescribed Methods: Study was conducted on Patients with indications for statins presenting to cardiology OPD,Medicine OPD and Endocrinology OPD and started on statins at PGIMER, Chandigarh, within a period of 9 months. Results: In our study, out of 243 prescriptions, 55.1%(n=134) were prescribed statins for secondary prevention and 44.9%(n=109) had statins prescribed for primary prevention. Overall coronary artery disease (37.03%) was the leading indication followed by Diabetes mellitus without ASCVD(70.64%).Other indications of secondary preventionincluded newly diagnosed statin naïve patients diagnosed with stable coronary artery disease ,unstable coronary artery disease /acute coronary artery disease , ischemic cardiovascular accidentsand peripheral arterial disease .64.22 percent patients in primary prevention group were diabetics in our study . Concluded: We concluded that secondary prevention was found to the more common indication of statin prescription than primary prevention (ratio 1.22:1). Keywords: Statin, CAD, Prevention

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