Evaluation of the Neuroprotective Effect of Pycnogenol in a Hypoxic-Ischemic Brain Injury Model in Newborn Rats

Objective This study aimed to evaluate the efficacy of Pycnogenol (PYC) and its antioxidant and antiapoptotic effect in an experimental hypoxic-ischemic (HI) rat model

Effect of humic acid on oxidative stress and neuroprotection in hypoxic-ischemic brain injury: part 1

Backgroun

Reference values of serum IgG and IgM levels in preterm and term newborns

Aim: Although, variations of normal immunoglobulin (Ig) levels in different gestational age and birth weight groups have been studied so far, data are still limited in newborns, especially in preterm infants. The aim of this study was to determine serum IgG and IgM levels in newborns in order to generate a reference standard for neonatal intensive care unit (NICU) and address the variations in preterm babies.Methods: This study was conducted from June 2012 to June 2013 in a level III NICU. A total of 300 newborn infants hospitalized within first 72h were included in the study. The quantification of serum IgG and IgM was performed by nephelometric method.Results: Both serum IgG and IgM levels were increased in correlation with increased gestational age and birth weight.Conclusion: The reference values of serum IgG and IgM levels should be further evaluated in larger series with the presented data in this article. In addition, preterm babies appear to have lower Ig levels thus carry the risk of relevant morbidity

THE COVID-19 PANDEMIC AND ARTIFICIAL INTELLIGENCE (AI) APPLICATIONS IN HEALTH: HOW MUCH ARE WE INTERESTED IN?

Purpose: New viruses have emerged, causing global damage and mass deaths that can spread to international borders, the latest of which is the new coronavirus (COVID-19). After the Second International Congress on Artificial Intelligence in Health, themed Artificial Intelligence in Health During COVID-19 Pandemic Process organized online by Izmir Bakircay University and Izmir Provincial Health Directorate with the contributions of the International Association of Artificial Intelligence in Health, a questionnaire was conducted to evaluate the knowledge of the participants about artificial intelligence applications.Material and Methods: This study aimed to evaluate the interest of the congress participants in this field with the questions which form the questionnaire such as the duration of the interest of the participants in the field of artificial intelligence in health, their publication status, the development of studies on artificial intelligence with the COVID-19 pandemic, demographic structures such as age and gender, and educational level. 130 participants answered the questionnaire consisting of 23 questions. Questionnaire responses were analyzed in a statistical setting.Results: We found that 130 people filled out the questionnaire and the majority of the participants were female, with participation from many organizations, but university staff showed more interest. We have seen that the 30-39 age group is more interested in artificial intelligence than the other age groups, but the majority of the participants do not have academic studies in this field. We found that the technical terms related to artificial intelligence were not well known by the participants, and that the number of participants who tended to this field, especially in the recent year, was high. Another important point was that people working in this field stated that they would definitely follow up if scientific activities continued.Conclusion: We know how important congresses, symposiums, courses and other meetings are, especially for scientist candidates, which will be held to raise awareness about the usage areas of artificial intelligence-based health technologies, to develop new communication and work networks by bringing together different disciplines, to create an agenda and to lay the groundwork for new studies, and we think that there is a need for many repetitive activities in this field and that these activities should be continued.[211]Acknowledgments: None. Author contribution: All authors contributed equally to the study. Conflict of interests: The authors have no conflicts of interest to declare. Ethical approval : This study was approved by the Izmir Bakircay University Non -Interventional Clinical Research Ethics Committee (Decision No: 211, Date: 04.03.2021) . Funding: None. Peer -review: Externally peer -reviewed

Evaluation of Newborns with Non-COVID-19 Pneumonia Hospitalized in the Neonatal Intensive Care Unit during the COVID-19 Pandemic, Turkey, Izmir 2020-2021

Objective In this study, we aimed to compare the clinical, laboratory, and radiological findings of noncoronavirus disease 2019 (COVID-19) viral agents in newborn infants hospitalized for lower respiratory tract infection during the COVID-19 pandemic. Methods This prospective cross-sectional study conducted between 11 March 2020 and 31 July 2021 included neonates with lower respiratory tract infections admitted to the neonatal intensive care unit of the Dr. Behcet Uz Children's Hospital. Nasopharyngeal swab samples were taken from all hospitalized patients for multiplex respiratory polymerase chain reaction (PCR) and severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) PCR. The detection of respiratory viral pathogens was performed by multiplex real-time PCR assay (Bosphore Respiratory Pathogens Panel Kit V4, Anatolia Geneworks, Turkey). Infants with SARS-CoV-2 PCR positivity were excluded from the study. Patients' data were obtained from the electronic medical registry system. The non-COVID-19 viruses of the cases were analyzed according to seasonal variation (in/offseason). The pulmonary findings of the cases were classified as normal, infiltration, air bronchogram, and reticulogranular appearance at the time of admission. Results A total of 80 infants were included during the study period. A multiplex PCR test was performed to identify viral agents affecting the lower respiratory tract of infants; it was determined that 31% (25 out of 80) were respiratory syncytial virus (RSV), 41% (33 out of 80) were rhinovirus (Rhino), and the remaining portion (28%, 22 out of 80) were other viral agents (enterovirus, bocavirus, adenovirus, influenza, and parainfluenza). Compared with Rhino and other viral agents, RSV was detected most frequently in seasonal hospitalizations (p 0.05). When chest radiography and laboratory findings were evaluated, the rate of Infiltration rlymphopenia was significantly associated with infants with RSV lower respiratory tract infections (p 0.05). Conclusion During the pandemic period, RSV affected the prognosis in intensive care unit admissions due to lower respiratory tract infection in newborns

THE COVID-19 PANDEMIC AND ARTIFICIAL INTELLIGENCE (AI) APPLICATIONS IN HEALTH: HOW MUCH ARE WE INTERESTED IN?

Purpose: New viruses have emerged, causing global damage and mass deaths that can spread to international borders, the latest of which is the new coronavirus (COVID-19). After the Second International Congress on Artificial Intelligence in Health, themed "Artificial Intelligence in Health During COVID-19 Pandemic Process" organized online by Izmir Bakircay University and Izmir Provincial Health Directorate with the contributions of the International Association of Artificial Intelligence in Health, a questionnaire was conducted to evaluate the knowledge of the participants about artificial intelligence applications.Material and Methods: This study aimed to evaluate the interest of the congress participants in this field with the questions which form the questionnaire such as the duration of the interest of the participants in the field of artificial intelligence in health, their publication status, the development of studies on artificial intelligence with the COVID-19 pandemic, demographic structures such as age and gender, and educational level. 130 participants answered the questionnaire consisting of 23 questions. Questionnaire responses were analyzed in a statistical setting.Results: We found that 130 people filled out the questionnaire and the majority of the participants were female, with participation from many organizations, but university staff showed more interest. We have seen that the 30-39 age group is more interested in artificial intelligence than the other age groups, but the majority of the participants do not have academic studies in this field. We found that the technical terms related to artificial intelligence were not well known by the participants, and that the number of participants who tended to this field, especially in the recent year, was high. Another important point was that people working in this field stated that they would definitely follow up if scientific activities continued.Conclusion: We know how important congresses, symposiums, courses and other meetings are, especially for scientist candidates, which will be held to raise awareness about the usage areas of artificial intelligence-based health technologies, to develop new communication and work networks by bringing together different disciplines, to create an agenda and to lay the groundwork for new studies, and we think that there is a need for many repetitive activities in this field and that these activities should be continued