scholarly journals Predicting the Causal Effect Relationship Between COPD and Cardio Vascular Diseases

Informatica ◽  
2020 ◽  
Vol 44 (4) ◽  
Author(s):  
Debjani Panda ◽  
Prof. Satya Ranjan Dash ◽  
Ratula Ray ◽  
Shantipriya Parida
Keyword(s):  
Causal Effect ◽  
Vascular Diseases ◽  
Effect Relationship ◽  
Cardio Vascular

Role of Emotional Processes in Cardio-vascular Diseases

2012 ◽  
Author(s):  
Suman Balhara ◽  
Nov Rattan Sharma ◽  
Amrita Yadav
Keyword(s):  
Vascular Diseases ◽  
Emotional Processes ◽  
Cardio Vascular

A Review on Heart Disease Detection Techniques

2017 ◽  
Vol 7 (7) ◽  
pp. 395
Author(s):  
. Anika ◽  
Navpreet Kaur
Keyword(s):  
Machine Learning ◽  
Heart Disease ◽  
Review Paper ◽  
Vascular Diseases ◽  
Disease Detection ◽  
Automated Classification ◽  
Feature Extraction Method ◽  
Detection Techniques ◽  
Cardio Vascular ◽  
Public Domain Software

The paper exhibits a formal audit on early detection of heart disease which are the major cause of death. Computational science has potential to detect disease in prior stages automatically. With this review paper we describe machine learning for disease detection. Machine learning is a method of data analysis that automates analytical model building.Various techniques develop to predict cardiac disease based on cases through MRI was developed. Automated classification using machine learning. Feature extraction method using Cell Profiler and GLCM. Cell Profiler a public domain software, freely available is flourished by the Broad Institute's Imaging Platform and Glcm is a statistical method of examining texture .Various techniques to detect cardio vascular diseases.

THE AUTOMATED MONITORING OF CARDIO VASCULAR DISEASES RISK FACTORS

2008 ◽  
Vol 9 (1) ◽  
pp. 91
Author(s):  
N.V. Nasonova ◽  
L.V. Sherbakova
Keyword(s):  
Risk Factors ◽  
Vascular Diseases ◽  
Automated Monitoring ◽  
Cardio Vascular

Rapid and Sensitive Bioanalytical Method Development and Validation for Quantification of Metoprolol Using LC-MS/MS in Human Plasma

2020 ◽  
Vol 42 (2) ◽  
pp. 171-171
Author(s):  
Beludari Mohammed Ishaq Beludari Mohammed Ishaq ◽  
Lingareddygari Siva Sanker Reddy Lingareddygari Siva Sanker Reddy ◽  
Gajula Mahaboob Basha Gajula Mahaboob Basha ◽  
Munna Sreenivasulu Munna Sreenivasulu ◽  
Challa Madhusudhana Chetty and Hindustan Abdul Ahad Challa Madhusudhana Chetty and Hindustan Abdul Ahad
Keyword(s):  
Human Plasma ◽  
Method Development ◽  
Multiple Reaction Monitoring ◽  
Internal Standard ◽  
Vascular Diseases ◽  
Storage Conditions ◽  
Spectrometric Analysis ◽  
Myocardial Infraction ◽  
Tandem Mass Spectrometric ◽  
Cardio Vascular

A novel, accurate, simple and selective LC-MS/MS method was developed and validated for the determination of metoprolol in human plasma. Due to structural resemblance Propranolol was selected as internal standard. Anti coagulant used was K2 EDTA. Metoprolol, used in the therapy and management of hypertension, myocardial infraction and other cardio vascular diseases. Liquid – liquid extraction technique with tert-butyl methyl ether was applied for the extraction of analyte from human plasma. Kromasil C18 column (5and#181;, 100 and#215; 4.6 mm) with an isocratic mobile phase of 5mM Ammonium Formate pH 3.5 and Acetonitrile (15:85 % V/V) was used for the resolution. Sample ionization was done with Electrospray ionization technique in positive ion mode. Selectivity was enhanced by tandem mass spectrometric analysis via two multiple reaction monitoring (MRM) transitions, m/z 268.15→115.90 for metoprolol and 260.17→115.90 for Propranolol respectively. The linearity of the method was established over a concentration range of 1.505 – 538.254 ng/mL, in human plasma, with the precision and accuracy ranging from 4.67 to 7.41% and 90.66 to 98.15% respectively. The stability of the analyte was evaluated in plasma under different storage conditions.

An Alternative “Trojan Horse” Hypothesis for COVID-19: Immune Deficiency of IL-10 and SARS-CoV-2 Biology

2021 ◽  
Vol 21 ◽  
Author(s):  
Mario Giosuè Balzanelli ◽  
Pietro Distratis ◽  
Sergey K Aityan ◽  
Felice Amatulli ◽  
Orazio Catucci ◽  
...  
Keyword(s):  
Distress Syndrome ◽  
Vascular Diseases ◽  
Atypical Pneumonia ◽  
Systemic Complications ◽  
Patients With Cancer ◽  
Theoretical Position ◽  
Large Numbers ◽  
Copd Patients ◽  
Cross Immunity ◽  
Cardio Vascular

: The coronavirus disease 2019 (COVID-19) pandemic was a challenge for emergency care units worldwide due to the large numbers of patients, the scarcity of information, the medical resources, and the uncertainty regarding the disease's etiology and pathogenesis. The transmission of the virus and a probable post-pandemic of SARS-CoV-2 will depend on how deep we can understand this disease, the duration of immunity and the degree of cross immunity between SARS-CoV-2 and other pathogens either bacteria or fungi. Most mortalities have been treated to an atypical pneumonia consisted of a sudden worsening of general condition of the admitted positive COVID-19 patients. The severe thromboembolism often characterized by a violent pulmonary and systemic complications described with a blend of inflammatory-infectious patterns that rapidly shifted into a typical systemic inflammatory response syndrome (SIRS) or into an acute respiratory distress syndrome (ARDS) that eventually concluded into a multi-organ failure (MOF) and death. The fatality rate reported in our Covid-19 structure, SG Moscati Hospital of Taranto province in Italy, was higher in aged male people with preexisting chronic pulmonary disease (COPD), patients with cancer and preexisting cardio-vascular diseases (CVD). We assumed a different theoretical position to clarify the higher mortality event seen among those patients that was not as obvious as it appeared, we thus offered different pathophysiological picture that could help to newly solutions in therapy and prevention.

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