Asian Journal of Cardiology Research https://www.journalajcr.com/index.php/AJCR <p style="text-align: justify;"><strong>Asian Journal of Cardiology Research</strong>&nbsp;aims to publish&nbsp;high-quality&nbsp;papers (<a href="/index.php/AJCR/general-guideline-for-authors">Click here for Types of paper</a>) in all areas of&nbsp;‘Cardiology research’. This journal facilitates the research and wishes to publish papers as long as they are technically correct, scientifically motivated. The journal also encourages the submission of useful reports of negative results. This is a quality controlled,&nbsp;OPEN&nbsp;peer-reviewed, open access INTERNATIONAL journal.</p> en-US contact@journalajcr.com (Asian Journal of Cardiology Research) contact@journalajcr.com (Asian Journal of Cardiology Research) Fri, 17 Jan 2020 09:35:25 +0000 OJS 3.1.1.4 http://blogs.law.harvard.edu/tech/rss 60 Role of Neutrophil to Lymphocyte Ratio (NLR) In Conjunction with Coronary Artery Involvement as a Biomarker for the Magnitude of Current of Injury, Type of Intervention and Clinical Outcomes in STEMI https://www.journalajcr.com/index.php/AJCR/article/view/30100 <p><strong>Background:</strong> The potential prognostic biomarker—neutrophil to lymphocyte ratio (NLR) can be used to predict the severity of STEMI. We conducted an observational study using this parameter together with the extent of coronary artery involvement from coronary angiogram and magnitude of ST-elevation on ECG to determine the prognosis and the length of hospital stay. The effect of early reperfusion with thrombolysis was also observed.</p> <p><strong>Methods and Results:</strong> 30 subjects (age 56.43 ± 13.98), with ST-elevation on ECG at admission, treated with streptokinase and undergoing angiogram were taken for the study. Repeated ECGs and complete blood picture on admission day, day 3, day of discharge and on the follow-up day were obtained. Out of 30 subjects, 15 received thrombolysis out of which 12 (80%) survived compared to the other 15 subjects who presented late, out of which 10 (66.6%) survived. Mean ST-elevation on the day of admission, on day 3, day of discharge and on follow up was found to be 0.39 ± 0.12, 0.18 ± 0.12, 0.05 ± 0.07, 0.00 ± 0.00 respectively. NLR values on admission day were 7.89 ± 4.98, day 3 (6.24 ± 5.05), day of discharge (4.34 ± 2.74) and on follow up (1.71 ± 1.40) indicating association of higher NLR values with magnitude of current of injury. NLR values as high as 18.5 were observed in expired subjects. The length of hospital stay was found to be 6.43 ± 5.03 days.</p> <p><strong>Conclusion:</strong> There was a linear decrement in ST-segment resolution with a decrease in NLR and can be attributed to the natural course of disease and type of intervention provided. Nevertheless, the univariate correlation between ECG and NLR on various days of treatment was not significant.</p> Mohammed Abdul Hannan Hazari, Kailas Laxman Rao, Bachi Tazneem, Sara Sana Ayesha Khanum, Huma Quadri, Syeda Kehkashan Jabeen ##submission.copyrightStatement## https://www.journalajcr.com/index.php/AJCR/article/view/30100 Fri, 17 Jan 2020 00:00:00 +0000 Early Detection of Heart Disease Using Gated Recurrent Neural Network https://www.journalajcr.com/index.php/AJCR/article/view/30101 <p>Cardiovascular disease (CVD) is an important factor in life since it may cause the death of human by effecting the heart and blood vessels of the body. Early detection of this disease is necessary for securing patients life. For this purpose, an automated tool is proposed in this paper for detecting patients with CVD and assisting health care systems also. A stacked-GRU based Recurrent Neural Network model, abbreviated as, stk-G, is proposed in this paper that considers interfering factors from past health records while detecting patients with cardiac problems. This proposed model is compared with two benchmark classifiers known as Support Vector Machine (SVM) and K-Nearest Neighbour (K-NN). The comparative analysis concludes that the proposed model offers enhanced efficiency for heart disease prediction. A promising result is given by the proposed method with an accuracy of 84.37%, F1-Score of 0.84 and MSE of 0.16.</p> Shawni Dutta, Samir Kumar Bandyopadhyay ##submission.copyrightStatement## https://www.journalajcr.com/index.php/AJCR/article/view/30101 Sun, 07 Jun 2020 00:00:00 +0000