D-DIMER A RISK FACTOR ASSOCIATED WITH C-REACTIVE PROTEIN FOR PREDICTING THE SEVERITY OF INFECTION BY COVID-19
Background: COVID-19, caused by SARS-CoV-2, has unresolved mortality risk factors and clinical course, highlighting the need for further research. Aims: The study aimed to asses D-dimer and C-Reactive Protein (CRP) as the risk factors for severity covid-19 and who are less capable of surviving. Methods: A retrospective study conduct of COVID-19 in adult inpatients aged >20 at Al-sadder and Alamal Hospital in Iraq. Demographics, clinical trials, treatments, and viral RNA samples were analyzed. The study involved 100 patients, with 67 discharged and 33 hospitalized died. The majority of the participants 45% were aged < 40, but 55% were aged >40 years. Results: A significant and 57% were male 37(55.2%) Survivor vs. 20 (60.6%) non-survivor, p=0.024), more than 43% were female (30(44.8%) Survivor vs. 13(39.4%) non-survivor, p=0.010. Patients had underlying comorbidities (66%), survivor 37(55%), and non-survivor 29(87%). The most prominent comorbidity in non-survivors more than survivors was diabetic mellitus 85%, asthma 58%, stroke 48%, renal failure 42%, heart strake 33%, and hypertension 18%. The study found significant differences in WBC, lymphocyte count, D-dimer, Ferritin, CRP, and LDH levels in non-survivors compared to survivor patients, with a positive correlation between D- dimer and these parameters. The ROC analysis curve showed CRP with a high AUC of 80.2%, 87.9% sensitivity, and 37.3% specificity, while D-dimer and LDH had AUCs of 0.74.9 and 70%, respectively. Discussion: The study found that older age, higher d-dimer, ferritin, CRP, and LDH are associated with disease severity and higher mortality risk in adult COVID-19 patients. Conclusions: These biomarkers could aid in early detection of disease progression signs and better patient management
Read ArticleFERRAMENTA DE ANONIMIZAÇÃO DE DADOS MÉDICOS COM PRESERVAÇÃO DE PRIVACIDADE
Background: Medical institutions collect a vast amount of sensitive patient data for personalized treatments and health trend analysis. However, this raises concerns regarding the privacy of patient data, as it contains sensitive and confidential information. Aims: Develop an anonymization tool using diverse techniques to protect data while preserving its utility. Methods: A Python-based data anonymization tool for medical datasets supporting both categorical and numerical data is developed. It employs various methods, including data perturbation, binning, scaling, transformation, and differential privacy. Results: The tool was able to anonymize sensitive data, both categorical and numerical, while preserving its utility for further analysis. Discussion: The Privacy-Preserving Data Anonymization Tool advances sensitive medical data management by anonymizing both categorical and numerical data using various techniques while retaining data utility. Conclusions: The Anonymization Tool addresses patient data privacy concerns by balancing data utility with privacy, enabling secure medical data use in research.
Read ArticleEVALUATION OF IMMUNE SYSTEM STIMULATION WITH VACCINE PREPARED AGAINST INDUCED BREAST CANCER IN ALBINO MICE
This study was designed to prepare vaccines. Cancer vaccines promote the destruction of cancer cells,and the cancer cells contain special antigens on their surface when the vaccine is given, it acts as an antigen to activate the immune system. The IL-2 stimulates the response to a type of cells called T-cell, and outer membrane vesicle (OMV) targeting cancer cells by stimulating the immunity to respond with it two types including innate andadaptive immunity, that lead to stimulating the immune system to reduce mammary adenocarcinoma induction in lab mice using T4-1 cell line breast cancer by taking blood and serum to evaluate the immune system efficacy. The tumor induction success by monitoring mice body weight loss showed the lost weight began in the third week after tumor induction, so 23.2 g at first and second week to 14.35 g at the end of the fourth week, whereas the control animals were weighed 32.37 g. The immunity system efficacy results appear a difference in blood and serum parameters after cancer induction. The result shows an increase in total WBC and monocytes (5900, 0.2 cells/mm respectively) but non significantly decreased in neutrophils and lymphocytes count (2.6, 5.9 cells/mm, respectively). Therefore, the first and second doses of vaccines increased the antibody and complement of the immune system compared with control. While Eliaza data for cytokines profile referred to elevated IL2 (26.5 pg/ml)in the serum of vaccination mice but only significantly decreased in IL6 and IL-22 amount (20.4 and 19.6 pg/ml respectively) comparing with control.
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