Typical and Atypical Presentations of Appendicitis and Their Implications for Diagnosis and Treatment: A Literature Review.

Appendicitis, an acute inflammation of the appendix, affects all demographic groups and exhibits various incidences and clinical manifestations. While acute appendicitis typically presents with colicky periumbilical abdominal pain that localizes to the right lower quadrant, atypical presentations are more common in children, geriatric, and pregnant patient populations, leading to delays in diagnosis. Clinical evaluation, clinical scoring systems, and inflammatory markers are commonly used, but their limitations have led to the increased use of diagnostic imaging in patients suspected of appendicitis. Acute appendicitis is managed by non-operative and operative management, depending on whether it is uncomplicated or complicated. Developing diagnostic pathways to improve outcomes and reduce complications is crucial. Although medical advancements have been made, diagnosing and managing appendicitis can be challenging, mainly when patients are present atypically. This literature review aims to comprehensively review typical and atypical presentations of appendicitis and their current implications for diagnosis and treatment modalities in pediatric, adult, pregnant, and geriatric patient populations.

PSYCHOLOGICAL DISTRESS AND JOB SATISFACTION AMONG HEALTH CARE PROFESSIONALS IN POST COVID-19 ERA

This aim of this research was twofold: First to examine the role of psychological distress in relation to job satisfaction among health care professionals in post COVIDE-19 era. Second to examine the gender difference on the variables of psychological distress and job satisfaction among health care professionals in post COVID-19 era. A sample of 150 health care providers was chosen from various hospitals of Faisalabad and Toba Tek Singh, Pakistan. Psychological distress, and job satisfaction were measured with the use of the Psychological Distress Scale (Kessler et al., 2003) and the Job Satisfaction Scale (Locke, 1976) respectively. The linear regression analysis reveals a significant predictive association between psychological distress and job satisfaction. The independent t-test reveals an insignificant gender difference on the variables of psychological distress and job satisfaction among health care professionals. The study has significant implications for mental health of health care professionals.

COVID and Cancer: A Complete 3D Advanced Radiological CT-Based Analysis to Predict the Outcome.

BACKGROUND: Cancer patients infected with COVID-19 were shown in a multitude of studies to have poor outcomes on the basis of older age and weak immune systems from cancer as well as chemotherapy. In this study, the CT examinations of 22 confirmed COVID-19 cancer patients were analyzed. METHODOLOGY: A retrospective analysis was conducted on 28 cancer patients, of which 22 patients were COVID positive. The CT scan changes before and after treatment and the extent of structural damage to the lungs after COVID-19 infection was analyzed. Structural damage to a lung was indicated by a change in density measured in Hounsfield units (HUs) and by lung volume reduction. A 3D radiometric analysis was also performed and lung and lesion histograms were compared. RESULTS: A total of 22 cancer patients were diagnosed with COVID-19 infection. A repeat CT scan were performed in 15 patients after they recovered from infection. Most of the study patients were diagnosed with leukemia. A secondary clinical analysis was performed to show the associations of COVID treatment on the study subjects, lab data, and outcome on mortality. It was found that post COVID there was a decrease of >50% in lung volume and a higher density in the form of HUs due to scar tissue formation post infection. CONCLUSION: It was concluded that COVID-19 infection may have further detrimental effects on the lungs of cancer patients, thereby, decreasing their lung volume and increasing their lung density due to scar formation.

Designing of Thiazolidinones for COVID-19 and its Allied Diseases: An In silico Evaluation.

In silico studies in terms of density functional theory (DFT), molecular docking, and ADMET (absorption, distribution, metabolism, excretion and toxicity) were performed for 55 thiazolidinones compounds derived from different amines and aldehydes. DFT is a computational quantum mechanical modeling method used to predict the various properties of the compounds. Different parameters such as Electronegativity (x), Chemical Hardness (ŋ), Chemical Potential (µ), Ionization potential (IP), and Electron Affinity (EA), etc. were calculated by Koopmans theorem. The compounds were docked with Molecular Operating Environment (MOE) software using already reported PDB files of BChE, AChE, and α-glucosidase. To analyze the Spike Glycoprotein of SARS-Cov-2 and heterocyclic compounds, molecular interactions study was carried out between Spike Glycoprotein of SARS-Cov-2 (6VXX) and 55 synthetic heterocyclic compounds. It was performed by the utilization of PyRx Virtual Screening Tool and AutoDock Vina based virtual environment was used in PyRx. Maximum binding affinity was observed with compound A7 which was -8.7 kcal/mol and then with A5 which was -8.5 respectively. In the case of the AChE enzyme, B5 has a maximum docking score of -12.9027 kcal/mol while C7 depicted the maximum score for the BChE enzyme with a value of -8.6971 kcal/mol. The docking studies revealed that C6 compound has maximum binding capacity toward glucosidase (-14.8735 kcal/mol). ADMET properties of under consideration compounds were determined by Swiss online-based software which concluded that these molecules have a drug-like properties and having no violation.