Dent-O-Myths Amid Young Community: A Cross-Sectional Study

INTRODUCTION: The word ‘Myth’ is derived from the Greek word “Mythos”, meaning the stories passed by a group of certain population having a strong impact on seeking general and dental treatment even during illness. AIM: The aim of this study was to access the prevalence of dental myths among the young population and to interpret their level of knowledge, awareness and perception. MATERIALS AND METHOD: A cross-sectional questionnaire survey was conducted amongst 500 young population of age between 18-28 years between May to August 2020, COVID-19 pandemic period. A pretested validated questionnaire was formatted on Google forms and circulated in various social media platforms. The collected data was subjected to statistical analysis. RESULTS: The mean age of the study population was 22.66±2.38 years, and 59% were females and 41% were males. About 65% (325) and 56% (280) of the study subjects believed correctly that mouthwash alone will not maintain oral health and chewing gum will not clean their teeth, respectively. When asked about their responses in case of pain in oral cavity, most people 46% (230) reported they would visit a dentist and major segment of study subjects 56% (281) believed that there can be more methods for treating oral pain other than the extraction of the tooth itself.CONCLUSION: The result of this study revealed that the younger population are more aware and didn’t believe much regarding various dental myths

Features and Outcomes of 899 Patients With Drug-Induced Liver Injury: The DILIN Prospective Study

The drug-induced liver injury network (DILIN) is conducting a prospective study of patients with DILI in the United States. We present characteristics and subgroup analyses from the first 1257 patients enrolled in the study

The Early Prediction of Liver Problems Using Knowledge Mining Techniques

 Knowledge Mining methodologies in health maintenance bump into radiology and chatterbots. These results however can shape the patterns in different sectors of patients with their symptoms. I foresee some of the Knowledge Mining algorithms are capable of identifying the possibilities or the probabilities of getting cancer, and imaging solutions and orphan diseases or specific types of pathology. The algorithms of knowledge mining are exists as Deep learning methodologies that has started emerging as a prominent technique in providing medical professionals with insights that lets them predict issues early on, thereby delivering far more personalized and relevant patient care.   &nbsp

Understanding awareness of young adults on dietary phytochemicals: A Pilot Study

Background: This pilot study was conducted to assess the knowledge about phytochemicalsamong young adults to understand the need for upholding the existing dietary guidelines for Indianswhich encouraged consumption of vegetable foods as one of the measures to control lifestyle obesity.Materials & Methods: A cross-sectional study design with snowball sampling of 90 subjects aged 18 to35 years was implemented. This study includes data from Southern and Western Indian States. Data hadto be collected using Google Forms due to the restrictions of Covid-19 on human interaction as perspecified safety guidelines. Results: Although 63.33 percent knew about phytochemicals, only 41.11percent were aware of dietary phytochemicals with 38.88 percent accepting that it may be beneficial tothem. 64.44 percent did not know about the different foods that included dietary phytochemicals with 10percent only acknowledging phytochemicals for their anti-cancer properties. 71.11 percent failed toidentify the different types of dietary phytochemicals and 97.77 percent admitted that they wanted tolearn more about the role that phytochemicals played in their health. Conclusion: Although obesity canresult from many genetic and environmental factors, understanding the role of diet-related factors for itsregulation will go a long way in diminishing chances of future generations becoming obese, therebyleading to a healthier population

IgA nephropathy in a tertiary care center from south India

IgA nephropathy is being recognized as the commonest glomerular disease worldwide. The prevalence and clinical picture varies from region to region. A retrospective analysis of 400 native renal biopsies performed over a period of 3 years at our center was done to know the prevalence and clinicopathological profile of patients with IgA nephropathy. All the biopsies were processed for both light microscopy and immunofluorescence studies. Patients with predominant IgA deposits were labeled as IgA nephropathy and further classified histopathologically into five subclasses according to the Haas classification. We noted a prevalence of 7.8% (31 cases) of IgA nephropathy. Nephrotic syndrome and chronic renal failure were the most common mode of presentation. Majority of cases fell into subclass III (focal segmental glomerular sclerosis) with 35.5% followed by subclasses IV (diffuse proliferative glomerular sclerosis) and V (global sclerosis) with 25.8% and 22.6% prevalence, respectively. As about 50% cases presented with varying degree of renal insufficiency, many ending with ESRD, IgA nephropathy can be considered as a serious problem in India