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 ArticleTHE ROLE OF EDUCATION IN FOSTERING ENTREPRENEURSHIP AND INNOVATION: INSIGHTS FROM DR. BHAVNA AMBUDKAR
Background: Dr. Bhavna, an experienced leader in education and innovation, has held various leadership positions, including head of department, dean of alumni relations, and president of the institutions innovation council. She has been instrumental in initiating the alumni cell at her previous organization and establishing world-class state-of-the-art laboratories in collaboration with the automotive sector. Aims: Dr. Bhavna's efforts aim to create an ecosystem for innovation and entrepreneurship within the institute and beyond, encouraging learners to consider entrepreneurship as a career option and fostering innovation in the electronics manufacturing domain. Methods: Dr. Bhavna's approach involves raising awareness about innovation and entrepreneurship among learners, fostering collaborations between academia and industry, and establishing world-class state-of-the-art laboratories to bridge the gap between academia and industry. Results: Dr. Bhavna's efforts have resulted in a strong alumni network, with graduates across the globe contributing to various domains and positions. She has also established world-class laboratories in collaboration with the automotive sector, fostering innovation and startups in the electronics manufacturing domain. Discussions: The Ministry of Electronics and Information Technology plays a significant role in initiating innovations and startups in the electronics manufacturing domain. They have generated a separate vertical for startups, which poses challenges to innovators. If a solution is validated, the ministry handholds the innovators, incubates their ideas, funds them, and helps them reach the market at the national and international levels. Conclusions: Dr. Bhavna's vision and efforts toward fostering an ecosystem for innovation and entrepreneurship within the institute and beyond are commendable. Her experience and achievements in various leadership roles, including as the head of the department and president of the institutions innovation council, have added significant value to her professional and personal life.
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.
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