The aim: to assess levels of circulating plasma ox-LDL in various subgroups with different CVD and their relationship with oxidative stress markers, MDA, catalase, and traditional coronary disease risk factors. Material and methods: a total of 215 subjects divided into four groups comprising 54 healthy controls, patients with the SAP were 52 persons, with the UAP 53 ones, and with the AMI there were 56 persons, respectively. Lipid profile parameters (TC, TG, HDL-C, LDL-C, and VLDL-C), plasma MDA, catalase were estimated by kit methods, TBARS method, and colorimetric assay respectively. Plasma Ox-LDL was estimation by competitive ELISA kit method (Mercodia) with the help of specific monoclonal antibody mAb4Eb. Results were present as mean ± SD, significance level at p-values<0.05 with Student’s unpaired t-test. Data analysis was performed by software package SPSS version 17.0. Results: it showed a highly significant (p<0.001) correlation in SAP, UAP, and AMI except for age in the SAP subgroup, moderately significant (p<0.01). Lipid profile except HDL-C was found highly elevated (p<0.001) in subgroups than in healthy controls. HDL-C was higher (p<0.001) in controls with respect to patient subgroups. Comparison of oxidative stress markers (MDA and catalase) and ox-LDH in control with patient’s subgroup indicates highly significant (p<0.001) correlation. The correlation between SAP & UAP was insignificant (p<0.05), SAP with AMI was significant (p<0.05), and UAP & AMI were highly significant (p<0.001). Large interquartile range in SAP subgroup suggesting scattered deviation in the mean value as compared to UAP and AMI showed in the box and whiskers plot and concluded that significantly elevated level of ox-LDL in SAP, UAP, and AMI subgroups indicate its diagnostic importance of CVD. Conclusions: study concluded that significantly elevated level of ox-LDL in SAP, UAP, and AMI subgroups indicate its diagnostic importance of CVD.

Coronavirus disease 2019 (abbreviated “COVID-19”) is an emerging respiratory disease that is caused by a novel coronavirus and was first detected in December 2019 in Wuhan, China. The cases of COVID-19 infection since then were showing increasing trend in all over the world. The aim: to study the epidemiological distribution and determinants of COVID-19 pandemic. Methods: it is a descriptive study carried out at a tertiary care hospital of India. The population comprised of patients admitted in the hospital. Sample size comprised of all the subjects admitted in the hospital with established COVID 19 +ve cases. The duration of study was April 2020 to June 2020. The study was approved by the Institutional Ethical committee and Informed consent was obtained from each subject before the conduct of the study. Data collection was done by a pre-structured questionnaire. Data entry and analysis was done using SPSS version 20 software. Results: out of total 38 COVID-19 +ve cases, 95 % were male and 5 % female ant the maximum numbers of cases ranges between 36–40 years of age group with the median age of 32 years.53 % of cases were Muslim and 47 % Hindu by religion. The median duration of stay in hospital of all COVID-19 +ve cases was11 day that on further differentiation with co-morbidity was 15 days and 11.5 without any co-morbidity. The median duration taken between 1st sample taken and report provided was 2 days, between 2nd sample taken and report provided 1 day and between 1st and 2nd sample taken was 11 days. Conclusions: present study concluded that middle age persons were affected in majority which may be due to more exposure to public places. Co-morbidities are strong predictors of requirement for admission and duration of stay at hospital

The aim. To access the superiority of myeloperoxidase & oxidized low-density lipoproteins over each other acts as a better predictive marker gaining information regarding the severity of cardiovascular disease. Materials and methods. 215 subjects are taken into consideration of which 54 are healthy controls, 52 are from stable angina pectoris, 53 are taken from unstable angina pectoris and 56 subjects are from acute myocardial infarction. Lipid profile parameters, oxidative stress markers, plasma myeloperoxidase and plasma oxidized low density lipoproteins were estimated by kit methods, thiobarbituric acid reactive substances method, and colorimetric assay, sandwich and competitive enzyme linked immunosorbent assay techniques, respectively. Results were present as mean ± SD, p-values <0.05 as significant, and Student’s unpaired “t” test. Comparative analysis by box and whiskers plot to check skewness and deviations within the values. Data analysis was performed by software package SPSS version 17.0. Results. The oxidized low density lipoproteins levels found significantly elevated in all three cases subgroup contrary to insignificant levels of myeloperoxidase in stable angina pectoris compared to control. Box and whisker plot of myeloperoxidase levels showed no skewness in stable angina pectoris (non-significant), whereas unstable angina pectoris and acute myocardial infarction showed right skewness (highly significant), whereas plots of oxidized low-density lipoproteins show extensive interquartile range in the stable angina pectoris subgroup, suggesting scattered deviation in the mean values compared to unstable angina pectoris and acute myocardial infarction subgroup. Conclusions. The study concluded that significantly elevated level of oxidized low-density lipoproteins in stable angina pectoris, unstable angina pectoris, and acute myocardial infarction subgroups with a scattered deviation of oxidized low density lipoproteins levels in the stable angina pectoris subgroup reflects its low prognostic reliability compared to plasma myeloperoxidase with marginal deviation and in insignificant elevation in stable angina pectoris. Thus, plasma myeloperoxidase and oxidized low density lipoproteins levels serve as independent predictors of cardiovascular disease, but plasma myeloperoxidase levels predict an increased risk over oxidized low density lipoproteins for subsequent cardiovascular events in stable and unstable angina and extend the prognostic information gained from traditional biochemical markers