2 research outputs found
Perbedaan Kadar Leukosit Pada Penderita ST Elevasi Miokard Infark (STEMI) dan Non-ST Elevasi Miokard Infark (NSTEMI)
Background : Acute myocardial infarction (AMI) is a manifestation of acute myocardial ischemia and is commonly due to rupture of atherosclerotic plaque or thrombus in coronary arteries and results in a lack of blood supply to the myocardium. The infiltration of inflammatory cells and process are characteristic of acute myocardial infarction. The increase in the number of leukocytes is based on the exact reaction of normal bone marrow to external stimuli, one of which is the inflammation procces.
Objective : The aim of this study is to determine the differences between leukocyte level in patient with ST elevation myocardial infarction (STEMI) and Non-ST elevation myocardial infartion (NSTEMI)
Methods : An observational study with cross sectional approach. Sample was taken by purposive sampling technique. Total sample are 72 people, 36 people with STEMI and 36 people with NTSTEMI. Data collected by using medical records of patient in RSUD Dr. Moewardi Surakarta and it is analyzed by unpaired T Test.
Results: Leukocyte level of 13,144 ± 4,7726 thousand/mm3 in patient with STEMI and 10,192 ± 3,2456 thousand/mm3 in patient with NSTEMI. By the significancy value 0,003 (p < 0.05).
Conclusion : There are differences between leukocyte level in patient with ST elevation myocardial infarction (STEMI) and Non-ST elevation myocardial infarction (NSTEMI). Leukocyte level in patient with STEMI is higher than NSTEMI
In Silico Study of Entry Inhibitor from Moringa oleifera Bioactive Compounds against SARS-CoV-2 Infection
The aim of this study is to screen the content of bioactive compounds of Moringa oleifera and to identify its potential as an antiviral against COVID 19 through an entry inhibitor mechanism using bioinformatics tools. The sample was obtained from PubChem database. Amino acis sequences were obtained from the NCBI. Protein modeling is made through the SWISSMODEL site. The target proteins for this study were SARS-CoV-2 M pro and RdRp. The protein-inhibitory interaction of the drug from M. oleifera bioactive compounds to SARS-CoV-2 was predicted by molecular docking with PyRx software. The result shows that M. oleifera was a potential antiviral candidate for SARS-CoV-2 with an entry inhibitor mechanism through a compound, especially quercetin. The RFMS value of both interactions between Mpro and quercetion
and RdRp with quercetin were not higher than 1.05. This result still needed further research to prove this prediction