Phonocardiogram signal analysis for classification of Coronary Artery Diseases using MFCC and 1D adaptive local ternary patterns

Background: Aim of the study was to evaluate the primary procedural success of percutaneous coronary intervention of unprotected left main coronary artery stenosis using either Bare-metal stents or drug eluting stent. Methods: Total 33 patients were enrolled in this very preliminary non-randomized prospective cohort study. Among them, Male: 25 and Female: 8. Total 35 stents were deployed. Mean age were for Male: 59 yrs, for Female: 62 yrs. Associated coronary artery diseases risk factors were dyslipidemia, High Blood pressure, Diabetes Mellitus, Positive family history for coronary artery diseases and smoking. Results: Among the study group; 26 (78%) were Dyslipidemic, 24(70%) were hypertensive; 17 (51.5%) patients were Diabetic, 11(33%) were smoker and 7(21%) patients had family history of Ischaemic heart disease. Female patients were more obese (BMI M 26: F 27) and developed coronary artery diseases in advance age. Common stented territory were left main: 20 (60%), Left main to left anterior descending artery 7 (22%) and Left main to left circumflex artery 6 (18%). Average length and diameter of stent was 3.5 and 18 mm respectively. Stent used: Bare Metal Stent 5 (15%), Drug Eluting Stent: 28 (85%). Among the different Drug Eluting Stents, Everolimus eluting stents were 11 (39.3%), Sirolimus eluting 10(35.7%), Paclitaxel eluting 3 (10.7%), Biolimus eluting 3 (10.7%) and Zotarolimus eluting1 (3.6%). In the present study, overall survival outcome was 94% (31 patient), mortality of cardiac cause 3% (1 patient) and 1 patient (3%) died of hepatocellular carcinoma. Conclusion: Our study has shown that percutaneous coronary intervention of the unprotected left main is a safe and effective alternative to Coronary Artery Bypass Graft (CABG). DOI: http://dx.doi.org/10.3329/cardio.v6i2.18349 Cardiovasc. j. 2014; 6(2): 107-111

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Childhood BMI and Adult Type 2 Diabetes, Coronary Artery Diseases, Chronic Kidney Disease, and Cardiometabolic Traits: A Mendelian Randomization Analysis

Yearbook of Paediatric Endocrinology ◽

10.1530/ey.15.12.2 ◽

2018 ◽

Author(s):

Geng T ◽

Smith CE ◽

Li C ◽

Huang T

Keyword(s):

Type 2 Diabetes ◽

Chronic Kidney Disease ◽

Coronary Artery ◽

Kidney Disease ◽

Mendelian Randomization ◽

Coronary Artery Diseases ◽

Adult Type ◽

Randomization Analysis ◽

Cardiometabolic Traits

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Molecular Evaluation of MicroRNA-146 Gene Variability (rs2910164 C> G) and its Association with Increased Susceptibility to Coronary Artery Disease

MicroRNA ◽

10.2174/2211536609666201209151130 ◽

2020 ◽

Vol 09 ◽

Author(s):

Rashid Mir ◽

Imadeldin Elfaki ◽

Chandan k Jha ◽

Jamsheed Javid ◽

Suriya Rehman ◽

...

Keyword(s):

Coronary Artery Disease ◽

Coronary Artery ◽

Genetic Factors ◽

Mirna Gene ◽

Amplification Refractory Mutation System ◽

Coronary Artery Diseases ◽

Increased Risk ◽

Inheritance Model ◽

Artery Disease ◽

Increased Susceptibility

Aim: Apart from the modifiable risk factors, genetic factors are believed to also influence the outcome of the coronary artery diseases (CAD). Under the genetic factors, miRNA polymorphisms, namely Hsa-miR-146a-5p (rs2910164) have become an important tool to study the mechanism that underlies the pathogenesis of this disease. Therefore, we investigated the association of miR-146a gene variations with susceptibility of coronary artery diseases. Methodology: This study was conducted on 100 CAD patients and 117 matched healthy individuals. Genotyping of the Hsa-miR-146a-5p C>G gene variation was performed by using amplification refractory mutation system PCR method (ARMS-PCR). Results: The distribution of Hsa-miR-146a-5p rs2910164 C>G genotypes observed between patients and controls was significantly different (P=0.048). Moreover, the frequency of G allele (fG) was found to be significantly higher among patients than in controls (0.36 vs. 0.25). Our findings showed that the Hsa-miR-146a-5p C>G variant was associated with an increased risk of CAD in codominant inheritance model CC vs. CG genotype (OR = 1.84, 95 % CI, 1.02-3.31; p=0.040) and (OR = 3.18, 95 % CI, 1.02-9.9; p=0.045) for CC vs. GG genotype in dominant inheritance model. Whereas the G allele significantly increased the risk of coronary artery disease (OR =1,81, 95 % CI, 1.18-2.78; p=0.006) compared to C allele. Taken together, these results demonstrated that miR-146a/rs2910164 is associated with susceptibility to coronary artery disease, providing novel insights into the genetic etiology and underlying biology of coronary artery disease. Conclusion: Our findings indicated that Hsa-miR-146a-5p rs2910164 GG genotype and G allele are associated with an increased susceptibility to Coronary Artery Disease. A larger sample size can be the key to progress in establishing the genetic co-relation of miRNA gene polymorphisms and cardiovascular diseases.

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Classification of Coronary Artery Disease Using Deep Neural Network with Dimension Reduction Technique

2021 2nd International Conference for Emerging Technology (INCET) ◽

10.1109/incet51464.2021.9456322 ◽

2021 ◽

Author(s):

Pratibha Verma ◽

Vineet Kumar Awasthi ◽

Sanat Kumar Sahu

Keyword(s):

Neural Network ◽

Coronary Artery Disease ◽

Coronary Artery ◽

Dimension Reduction ◽

Deep Neural Network ◽

Reduction Technique ◽

Artery Disease

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Discordance between Body-Mass Index and Body Adiposity Index in the Classification of Weight Status of Elderly Patients with Stable Coronary Artery Disease

Journal of Clinical Medicine ◽

10.3390/jcm10050943 ◽

2021 ◽

Vol 10 (5) ◽

pp. 943

Author(s):

Bartosz Hudzik ◽

Justyna Nowak ◽

Janusz Szkodzinski ◽

Aleksander Danikiewicz ◽

Ilona Korzonek-Szlacheta ◽

...

Keyword(s):

Coronary Artery Disease ◽

Body Mass Index ◽

Coronary Artery ◽

Weight Status ◽

Stable Coronary Artery Disease ◽

Reference Method ◽

Normal Weight ◽

Body Adiposity ◽

Artery Disease

Background and Aims: Body-mass index (BMI) is a popular method implemented to define weight status. However, describing obesity by BMI may result in inaccurate assessment of adiposity. The Body Adiposity Index (BAI) is intended to be a directly validated method of estimating body fat percentage. We set out to compare body weight status assessment by BMI and BAI in a cohort of elderly patients with stable coronary artery disease (CAD). Methods: A total of 169 patients with stable CAD were enrolled in an out-patient cardiology clinic. The National Research Council (US) Committee on Diet and Health classification was used for individuals older than 65 years as underweight BMI < 24 kg/m2, normal weight BMI 24–29 kg/m2, overweight BMI 29–35 kg/m2, and obesity BMI > 35 kg/m2. In case of BAI, we used sex- and age-specific classification of weight status. In addition, body fat was estimated by bioelectrical impedance analysis (BImpA). Results: Only 72 out of 169 patients (42.6%) had concordant classification of weight status by both BMI and BAI. The majority of the patients had their weight status either underestimated or overestimated. There were strong positive correlations between BMI and BImpA (FAT%) (R = 0.78 p < 0.001); BAI and BImpA (FAT%) (R = 0.79 p < 0.001); and BMI and BAI (R = 0.67 p < 0.001). BMI tended to overestimate the rate of underweight, normal weight or overweight, meanwhile underestimating the rate of obesity. Third, BMI exhibited an average positive bias of 14.4% compared to the reference method (BImpA), whereas BAI exhibited an average negative bias of −8.3% compared to the reference method (BImpA). Multivariate logistic regression identified independent predictors of discordance in assessing weight status by BMI and BAI: BImpA (FAT%) odds ratio (OR) 1.29, total body water (%) OR 1.61, fat mass index OR 2.62, and Controlling Nutritional Status (CONUT) score OR 1.25. Conclusions: There is substantial rate of misclassification of weight status between BMI and BAI. These findings have significant implications for clinical practice as the boundary between health and disease in malnutrition is crucial to accurately define criteria for intervention. Perhaps BMI cut-offs for classifying weight status in the elderly should be revisited.

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