Introduction: Accidental spinal anomalies of the spinal dura mater are the source of cerebrospinal fluid (CSF) leakage. Typically, dura abnormalities are identified in 3 percent of endoscopic lumbar discectomy cases. Objective: The purpose of the current research was to evaluate the results of autologous dura replacement versus collagen-based grafts in individuals with dura deformities. Methods: The Institute of Neurosurgery at Liaquat National Hospital Karachi undertook this randomized evaluation to identify the most effective therapy for dura mater defects. Employing non-probability random selection, 82 cases among both sexes were selected. Participants were divided randomly into two subgroups i.e. Group 1A received an autologous graft for dura restoration, whereas Group 2B received a semi-synthetic dura replacement. A skilled surgeon led a medical team of six people who completed the entire process. Results: The operation duration for semi-synthetic collagen was significantly reduced. There was a 40 minute variation in total time spent by the two groups. Autologous grafts showed ideal tightness and better flexibility and fair workability on the other hand semi-synthetic collagen showed better tightness and workability and ideal flexibility. Postoperative hospital stays were seen to be 26 + 2.5 hours in Group 1A whereas they were 23 + 2.5 hours for Group B. Conclusion: According to the aforementioned findings, an accessible, secure, and efficient substitution for an autologous graft for dura restoration in dura abnormalities is the use of a semi-synthetic collagen substitute. Keywords: semi-synthetic collagen substitute, cerebrospinal fluid, dura abnormalities, autologous graft.

Introduction: Coronavirus disease 2019 (COVID-19) is spreading quickly and killing people across the board, including infants. The risk variables that indicate infant death are still uncertain, though. Examining risk signs for babies with COVID-19 was the aim of this study. Methods: Secondary data analysis was performed using provincial COVID-19 data from September 2021 to December 2022. For this study, 1000 children under the age of 18 were selected. In order to investigate the factors that led to fatalities in children diagnosed with COVID-19, chi-square analysis and binary logistic regression were utilized.  Results: According to this research, the frequency of infants dying from COVID-19 was 6.7%. Age, case classification, therapy state, disease intensity, and trip experience all significantly correlated with toddlers infected with the COVID-19 virus’s mortality rate. Age affects the likelihood of succumbing from COVID-19 (Adjusted odd ratio (AOR) =0.92; CI 95%=0.93-0.98). In addition, using ventilators while in the ICU (AOR=22.45; 95% CI=5.86-86.33), serious sickness (AOR=46.23; 95% CI=21.33-100.63), and travel history (AOR=1.87; 95% CI=1.92-2.83) were all clearly linked to a greater chance of mortality in kids with the COVID-19.  Conclusion: The greatest predictor of mortality was childhood illness that was serious.